| Experimental Factor Ontology (EFO) Information | |
| Identifier | EFO_0000405 |
| Description | A disease or disorder that involves the digestive system. [MONDO: design_pattern] | Trait category |
Digestive system disorder
|
| Synonyms |
72 synonyms
|
| Mapped terms |
24 mapped terms
|
| Child trait(s) |
50 child traits
|
| Polygenic Score ID & Name | PGS Publication ID (PGP) | Reported Trait | Mapped Trait(s) (Ontology) | Number of Variants |
Ancestry distribution GWAS Dev Eval |
Scoring File (FTP Link) |
|---|---|---|---|---|---|---|
| PGS000014 (GPS_T2D) |
PGP000006 | Khera AV et al. Nat Genet (2018) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 6,917,436 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000014/ScoringFiles/PGS000014.txt.gz | |
| PGS000017 (GPS_IBD) |
PGP000006 | Khera AV et al. Nat Genet (2018) |
Inflammatory bowel disease | inflammatory bowel disease | 6,907,112 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000017/ScoringFiles/PGS000017.txt.gz | |
| PGS000020 (dGRS1000) |
PGP000010 | Läll K et al. Genet Med (2016) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 7,502 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000020/ScoringFiles/PGS000020.txt.gz |
| PGS000021 (GRS1) |
PGP000011 | Oram RA et al. Diabetes Care (2015) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 30 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000021/ScoringFiles/PGS000021.txt.gz | |
| PGS000022 (T1D_GRS) |
PGP000012 | Perry DJ et al. Sci Rep (2018) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 37 | - - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000022/ScoringFiles/PGS000022.txt.gz |
| PGS000023 (AA_GRS) |
PGP000013 | Onengut-Gumuscu S et al. Diabetes Care (2019) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 7 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000023/ScoringFiles/PGS000023.txt.gz |
| PGS000024 (GRS2) |
PGP000014 | Sharp SA et al. Diabetes Care (2019) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 67 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000024/ScoringFiles/PGS000024.txt.gz |
| PGS000031 (GRSt) |
PGP000020 | Vassy JL et al. Diabetes (2014) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 62 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000031/ScoringFiles/PGS000031.txt.gz |
| PGS000032 (GRSB) |
PGP000020 | Vassy JL et al. Diabetes (2014) |
Type 2 diabetes (based on SNPs involved in β-cell function) | type 2 diabetes mellitus | 20 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000032/ScoringFiles/PGS000032.txt.gz |
| PGS000033 (GRSIR) |
PGP000020 | Vassy JL et al. Diabetes (2014) |
Type 2 diabetes (based on SNPs involved in insulin resistance) | type 2 diabetes mellitus | 10 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000033/ScoringFiles/PGS000033.txt.gz |
| PGS000036 (gePS_T2D) |
PGP000023 | Mahajan A et al. Nat Genet (2018) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 171,249 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000036/ScoringFiles/PGS000036.txt.gz | |
| PGS000040 (GRS_CeD) |
PGP000028 | Abraham G et al. PLoS Genet (2014) |
Coeliac disease | celiac disease | 228 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000040/ScoringFiles/PGS000040.txt.gz |
| PGS000041 (GRS-DQ2.5-CeD) |
PGP000029 | Abraham G et al. Genome Med (2015) |
Coeliac disease | celiac disease | 2,513 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000041/ScoringFiles/PGS000041.txt.gz |
| PGS000042 (GRS-DQ2.5-CeD-imputed) |
PGP000029 | Abraham G et al. Genome Med (2015) |
Coeliac disease | celiac disease | 3,317 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000042/ScoringFiles/PGS000042.txt.gz |
| PGS000055 (PRS_CRC) |
PGP000040 | Schmit SL et al. J Natl Cancer Inst (2019) |
Colorectal cancer | colorectal cancer | 76 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000055/ScoringFiles/PGS000055.txt.gz |
| PGS000074 (CC_Colorectal) |
PGP000050 | Graff RE et al. Nat Commun (2021) |
Colorectal cancer | colorectal cancer | 103 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000074/ScoringFiles/PGS000074.txt.gz |
| PGS000081 (CC_Oral) |
PGP000050 | Graff RE et al. Nat Commun (2021) |
Oral cavity and pharyngeal cancers | oral cavity cancer, pharynx cancer |
14 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000081/ScoringFiles/PGS000081.txt.gz |
| PGS000083 (CC_Pancreas) |
PGP000050 | Graff RE et al. Nat Commun (2021) |
Pancreatic cancer | pancreatic carcinoma | 22 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000083/ScoringFiles/PGS000083.txt.gz |
| PGS000125 (Qi_T2D_2017) |
PGP000062 | Qi Q et al. Diabetes (2017) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 80 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000125/ScoringFiles/PGS000125.txt.gz |
| PGS000146 (CRC_GRS_27) |
PGP000069 | Hsu L et al. Gastroenterology (2015) |
Colorectal cancer | colorectal cancer | 27 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000146/ScoringFiles/PGS000146.txt.gz |
| PGS000147 (CRC21) |
PGP000070 | Ibáñez-Sanz G et al. Sci Rep (2017) |
Colorectal cancer | colorectal cancer | 21 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000147/ScoringFiles/PGS000147.txt.gz |
| PGS000148 (CRC63) |
PGP000071 | Jeon J et al. Gastroenterology (2018) |
Colorectal cancer | colorectal cancer | 63 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000148/ScoringFiles/PGS000148.txt.gz | |
| PGS000149 (CRC41) |
PGP000072 | Smith T et al. Br J Cancer (2018) |
Colorectal cancer | colorectal cancer | 41 | - - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000149/ScoringFiles/PGS000149.txt.gz |
| PGS000150 (GRS48) |
PGP000073 | Weigl K et al. Gastroenterology (2018) |
Colorectal cancer | colorectal cancer | 48 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000150/ScoringFiles/PGS000150.txt.gz |
| PGS000151 (SC_GRS) |
PGP000074 | Xin J et al. Gene (2018) |
Colorectal cancer | colorectal cancer | 14 | - - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000151/ScoringFiles/PGS000151.txt.gz |
| PGS000154 (cGRS_Colorectal) |
PGP000075 | Shi Z et al. Cancer Med (2019) |
Colorectal cancer | colorectal cancer | 30 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000154/ScoringFiles/PGS000154.txt.gz |
| PGS000159 (cGRS_Pancreatic) |
PGP000075 | Shi Z et al. Cancer Med (2019) |
Pancreatic cancer | pancreatic carcinoma | 9 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000159/ScoringFiles/PGS000159.txt.gz |
| PGS000316 (GRS42_Coeliac) |
PGP000093 | Sharp SA et al. Aliment Pharmacol Ther (2020) |
Coeliac disease | celiac disease | 42 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000316/ScoringFiles/PGS000316.txt.gz | |
| PGS000330 (PRS_T2D) |
PGP000100 | Mars N et al. Nat Med (2020) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 6,437,380 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000330/ScoringFiles/PGS000330.txt.gz | |
| PGS000357 (PRSWEB_PHECODE145_C3-LIP-ORAL-PHARYNX_PT_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Oral cavity cancer | oral cavity cancer | 45 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000357/ScoringFiles/PGS000357.txt.gz | |
| PGS000358 (PRSWEB_PHECODE145_UKBB-SAIGE-HRC-X145_PRS-CS_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Oral cavity cancer | oral cavity cancer | 1,119,238 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000358/ScoringFiles/PGS000358.txt.gz | |
| PGS000359 (PRSWEB_PHECODE145.2_C3-TONGUENAS_PRS-CS_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Tongue cancer | tongue neoplasm | 931,954 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000359/ScoringFiles/PGS000359.txt.gz | |
| PGS000363 (PRSWEB_PHECODE150_C15_PRS-CS_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Esophageal cancer | esophageal cancer | 1,081,646 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000363/ScoringFiles/PGS000363.txt.gz | |
| PGS000364 (PRSWEB_PHECODE150_C15_LASSOSUM_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Esophageal cancer | esophageal cancer | 2,001 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000364/ScoringFiles/PGS000364.txt.gz | |
| PGS000365 (PRSWEB_PHECODE150_C3-OESOPHAGUS_PRS-CS_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Esophageal cancer | esophageal cancer | 1,070,434 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000365/ScoringFiles/PGS000365.txt.gz | |
| PGS000366 (PRSWEB_PHECODE150_UKBB-SAIGE-HRC-X150_PRS-CS_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Esophageal cancer | esophageal cancer | 1,119,238 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000366/ScoringFiles/PGS000366.txt.gz | |
| PGS000367 (PRSWEB_PHECODE153_CRC-Huyghe_P_5e-08_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Colorectal cancer | colorectal cancer | 74 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000367/ScoringFiles/PGS000367.txt.gz | |
| PGS000368 (PRSWEB_PHECODE153_CRC-Huyghe_P_5e-08_UKB_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Colorectal cancer | colorectal cancer | 74 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000368/ScoringFiles/PGS000368.txt.gz | |
| PGS000369 (PRSWEB_PHECODE153_CRC-Huyghe_PT_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Colorectal cancer | colorectal cancer | 81 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000369/ScoringFiles/PGS000369.txt.gz | |
| PGS000370 (PRSWEB_PHECODE153_CRC-Huyghe_PT_UKB_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Colorectal cancer | colorectal cancer | 87 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000370/ScoringFiles/PGS000370.txt.gz | |
| PGS000371 (PRSWEB_PHECODE153_GWAS-Catalog-r2019-05-03-X153_P_5e-08_UKB_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Colorectal cancer | colorectal cancer | 18 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000371/ScoringFiles/PGS000371.txt.gz | |
| PGS000372 (PRSWEB_PHECODE153_GWAS-Catalog-r2019-05-03-X153_PT_UKB_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Colorectal cancer | colorectal cancer | 27 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000372/ScoringFiles/PGS000372.txt.gz | |
| PGS000373 (PRSWEB_PHECODE153_UKBB-SAIGE-HRC-X153_PRS-CS_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Colorectal cancer | colorectal cancer | 1,119,238 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000373/ScoringFiles/PGS000373.txt.gz | |
| PGS000374 (PRSWEB_PHECODE153_UKBB-SAIGE-HRC-X153_PT_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Colorectal cancer | colorectal cancer | 41 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000374/ScoringFiles/PGS000374.txt.gz | |
| PGS000375 (PRSWEB_PHECODE153_UKBB-SAIGE-HRC-X153_LASSOSUM_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Colorectal cancer | colorectal cancer | 370 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000375/ScoringFiles/PGS000375.txt.gz | |
| PGS000376 (PRSWEB_PHECODE153.2_C18_PRS-CS_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Colon cancer | colon carcinoma | 1,111,490 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000376/ScoringFiles/PGS000376.txt.gz | |
| PGS000377 (PRSWEB_PHECODE153.2_C18_LASSOSUM_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Colon cancer | colon carcinoma | 5,740,814 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000377/ScoringFiles/PGS000377.txt.gz | |
| PGS000378 (PRSWEB_PHECODE153.2_C3-COLON_PRS-CS_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Colon cancer | colon carcinoma | 1,111,399 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000378/ScoringFiles/PGS000378.txt.gz | |
| PGS000379 (PRSWEB_PHECODE153.2_C3-COLON_LASSOSUM_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Colon cancer | colon carcinoma | 5,715,093 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000379/ScoringFiles/PGS000379.txt.gz | |
| PGS000380 (PRSWEB_PHECODE153.2_UKBB-SAIGE-HRC-X153.2_PRS-CS_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Colon cancer | colon carcinoma | 1,119,238 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000380/ScoringFiles/PGS000380.txt.gz | |
| PGS000381 (PRSWEB_PHECODE153.2_UKBB-SAIGE-HRC-X153.2_PT_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Colon cancer | colon carcinoma | 12 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000381/ScoringFiles/PGS000381.txt.gz | |
| PGS000382 (PRSWEB_PHECODE153.2_UKBB-SAIGE-HRC-X153.2_LASSOSUM_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Colon cancer | colon carcinoma | 150 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000382/ScoringFiles/PGS000382.txt.gz | |
| PGS000383 (PRSWEB_PHECODE153.3_C19_PRS-CS_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Malignant neoplasm of rectum, rectosigmoid junction, and anus | rectum cancer, rectosigmoid junction neoplasm |
1,078,799 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000383/ScoringFiles/PGS000383.txt.gz | |
| PGS000384 (PRSWEB_PHECODE153.3_C3-RECTUM_PRS-CS_MGI_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Malignant neoplasm of rectum, rectosigmoid junction, and anus | rectum cancer, rectosigmoid junction neoplasm |
1,104,018 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000384/ScoringFiles/PGS000384.txt.gz | |
| PGS000385 (PRSWEB_PHECODE157_GWAS-Catalog-r2019-05-03-X157_P_5e-08_UKB_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Pancreatic cancer | pancreatic carcinoma | 17 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000385/ScoringFiles/PGS000385.txt.gz | |
| PGS000386 (PRSWEB_PHECODE157_GWAS-Catalog-r2019-05-03-X157_PT_UKB_20200608) |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Pancreatic cancer | pancreatic carcinoma | 10 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000386/ScoringFiles/PGS000386.txt.gz | |
| PGS000655 (NAFLD-10) |
PGP000119 | Namjou B et al. BMC Med (2019) |
Non-alcoholic fatty liver disease | non-alcoholic fatty liver disease | 10 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000655/ScoringFiles/PGS000655.txt.gz |
| PGS000663 (wGRS22) |
PGP000123 | Kim J et al. Cancer Epidemiol Biomarkers Prev (2020) |
Pancreatic cancer | pancreatic carcinoma | 22 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000663/ScoringFiles/PGS000663.txt.gz |
| PGS000704 (HC171) |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Alcoholic cirrhosis | alcoholic liver cirrhosis | 183,271 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000704/ScoringFiles/PGS000704.txt.gz |
| PGS000705 (HC188) |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Gallstones | gallstones | 183,458 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000705/ScoringFiles/PGS000705.txt.gz |
| PGS000712 (T2D_HbA1c_39) |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
T2D (cases vs HbA1c filtered controls) | type 2 diabetes mellitus | 183,695 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000712/ScoringFiles/PGS000712.txt.gz |
| PGS000713 (T2D) |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 183,830 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000713/ScoringFiles/PGS000713.txt.gz |
| PGS000720 (PRS_Colorectal) |
PGP000135 | Jia G et al. JNCI Cancer Spectr (2020) |
Colorectal cancer | colorectal cancer | 95 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000720/ScoringFiles/PGS000720.txt.gz |
| PGS000725 (PRS_Pancreas) |
PGP000135 | Jia G et al. JNCI Cancer Spectr (2020) |
Pancreatic cancer | pancreatic carcinoma | 22 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000725/ScoringFiles/PGS000725.txt.gz |
| PGS000726 (PGS12_CIR) |
PGP000136 | Emdin CA et al. Gastroenterology (2020) |
Cirrhosis | cirrhosis of liver | 12 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000726/ScoringFiles/PGS000726.txt.gz | |
| PGS000729 (T2D_PGS) |
PGP000137 | Ritchie SC et al. Nat Metab (2021) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 2,017,388 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000729/ScoringFiles/PGS000729.txt.gz |
| PGS000734 (PRS95_CRC) |
PGP000142 | Archambault AN et al. Gastroenterology (2019) |
Colorectal cancer | colorectal cancer | 95 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000734/ScoringFiles/PGS000734.txt.gz | |
| PGS000765 (PRS_CRC95) |
PGP000170 | Huyghe JR et al. Nat Genet (2018) |
Colorectal cancer | colorectal cancer | 95 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000765/ScoringFiles/PGS000765.txt.gz |
| PGS000776 (GRS9_Cirr) |
PGP000180 | Innes H et al. Gastroenterology (2020) |
Cirrhosis | cirrhosis of liver | 9 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000776/ScoringFiles/PGS000776.txt.gz | |
| PGS000785 (CC_Colorectal_IV) |
PGP000186 | Kachuri L et al. Nat Commun (2020) |
Colorectal cancer | colorectal cancer | 103 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000785/ScoringFiles/PGS000785.txt.gz |
| PGS000792 (CC_Oral_IV) |
PGP000186 | Kachuri L et al. Nat Commun (2020) |
Oral cavity and pharyngeal cancers | oral cavity cancer, pharynx cancer |
14 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000792/ScoringFiles/PGS000792.txt.gz |
| PGS000794 (CC_Pancreas_IV) |
PGP000186 | Kachuri L et al. Nat Commun (2020) |
Pancreatic cancer | pancreatic carcinoma | 22 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000794/ScoringFiles/PGS000794.txt.gz |
| PGS000801 (GRS40_CRC) |
PGP000190 | Hang D et al. Int J Epidemiol (2020) |
Colorectal cancer | colorectal cancer | 40 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000801/ScoringFiles/PGS000801.txt.gz |
| PGS000802 (CRC_19) |
PGP000191 | He CY et al. Genomics (2021) |
Colorectal cancer | colorectal cancer | 19 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000802/ScoringFiles/PGS000802.txt.gz | |
| PGS000804 (GRS582_T2Dmulti) |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 582 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000804/ScoringFiles/PGS000804.txt.gz |
| PGS000805 (GRS582_T2Deur) |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 582 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000805/ScoringFiles/PGS000805.txt.gz |
| PGS000806 (GRS582_T2Dafr) |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 582 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000806/ScoringFiles/PGS000806.txt.gz |
| PGS000807 (GRS582_T2Dasn) |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 582 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000807/ScoringFiles/PGS000807.txt.gz |
| PGS000808 (GRS582_T2Dhis) |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 582 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000808/ScoringFiles/PGS000808.txt.gz |
| PGS000832 (T2D-GRS) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 384 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000832/ScoringFiles/PGS000832.txt.gz |
| PGS000833 (T1D) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 66 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000833/ScoringFiles/PGS000833.txt.gz |
| PGS000848 (T2D_Adiposity) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Type 2 diabetes (based on SNPs associated with adiposity) | type 2 diabetes mellitus | 6 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000848/ScoringFiles/PGS000848.txt.gz |
| PGS000849 (T2D_Impaired_Lipids) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Type 2 diabetes (based on SNPs associated with impaired lipids) | type 2 diabetes mellitus | 3 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000849/ScoringFiles/PGS000849.txt.gz |
| PGS000850 (T2D_Insulin_Action) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Type 2 diabetes (based on SNPs associated with insulin action) | type 2 diabetes mellitus | 16 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000850/ScoringFiles/PGS000850.txt.gz |
| PGS000851 (T2D_Insulin_Action_Secretion) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Type 2 diabetes (based on SNPs associated with insulin action/secretion) | type 2 diabetes mellitus | 37 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000851/ScoringFiles/PGS000851.txt.gz |
| PGS000852 (T2D_Insulin_Secretion_1) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Type 2 diabetes (based on SNPs associated with insulin secretion) | type 2 diabetes mellitus | 8 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000852/ScoringFiles/PGS000852.txt.gz |
| PGS000853 (T2D_Insulin_Secretion_2) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Type 2 diabetes (based on SNPs associated with insulin secretion) | type 2 diabetes mellitus | 21 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000853/ScoringFiles/PGS000853.txt.gz |
| PGS000854 (T2D_BetaCell) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Type 2 diabetes (based on SNPs associated with beta cell function) | type 2 diabetes mellitus | 27 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000854/ScoringFiles/PGS000854.txt.gz |
| PGS000855 (T2D_Lipodystrophy) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Type 2 diabetes (based on SNPs associated with lipodystrophy) | type 2 diabetes mellitus | 18 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000855/ScoringFiles/PGS000855.txt.gz |
| PGS000856 (T2D_LiverLipids) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Type 2 diabetes (based on SNPs associated with liver lipids) | type 2 diabetes mellitus | 3 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000856/ScoringFiles/PGS000856.txt.gz |
| PGS000857 (T2D_Obesity) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Type 2 diabetes (based on SNPs associated with obesity) | type 2 diabetes mellitus | 4 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000857/ScoringFiles/PGS000857.txt.gz |
| PGS000858 (T2D_Proinsulin) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Type 2 diabetes (based on SNPs associated with proinsulin levels) | type 2 diabetes mellitus | 6 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000858/ScoringFiles/PGS000858.txt.gz |
| PGS000864 (T2D-gPRS) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 389,243 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000864/ScoringFiles/PGS000864.txt.gz |
| PGS000868 (T2D_221) |
PGP000214 | Aksit MA et al. J Clin Endocrinol Metab (2020) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 221 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000868/ScoringFiles/PGS000868.txt.gz |
| PGS000869 (T1D_48) |
PGP000214 | Aksit MA et al. J Clin Endocrinol Metab (2020) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 48 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000869/ScoringFiles/PGS000869.txt.gz |
| PGS000872 (PRS-5) |
PGP000215 | Bianco C et al. J Hepatol (2020) |
Non-alcoholic fatty liver disease | non-alcoholic fatty liver disease | 5 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000872/ScoringFiles/PGS000872.txt.gz | |
| PGS000996 (GBE_HC262) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Diverticular disease/diverticulitis | diverticular disease, diverticulitis |
368 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000996/ScoringFiles/PGS000996.txt.gz |
| PGS000997 (GBE_HC1106) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Diverticular disease of intestine (time-to-event) | diverticular disease | 5,757 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000997/ScoringFiles/PGS000997.txt.gz |
| PGS001014 (GBE_HC654) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Other disorders of pancreatic internal secretion (time-to-event) | pancreas disease | 69 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001014/ScoringFiles/PGS001014.txt.gz |
| PGS001174 (GBE_HC1125) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Cholelithiasis (time-to-event) | cholelithiasis | 970 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001174/ScoringFiles/PGS001174.txt.gz |
| PGS001256 (GBE_HC188) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Gallstones | gallstones | 876 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001256/ScoringFiles/PGS001256.txt.gz |
| PGS001288 (GBE_HC95) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Inflammatory bowel disease | inflammatory bowel disease | 195 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001288/ScoringFiles/PGS001288.txt.gz |
| PGS001293 (GBE_HC1123) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Other diseases of liver (time-to-event) | liver disease | 92 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001293/ScoringFiles/PGS001293.txt.gz |
| PGS001294 (GBE_HC649) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Non-insulin-dependent diabetes (time-to-event) | type 2 diabetes mellitus | 3,496 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001294/ScoringFiles/PGS001294.txt.gz |
| PGS001295 (GBE_HC165) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 385 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001295/ScoringFiles/PGS001295.txt.gz |
| PGS001296 (GBE_HC648) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Insulin-dependent diabetes mellitus (time-to-event) | type 1 diabetes mellitus | 356 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001296/ScoringFiles/PGS001296.txt.gz |
| PGS001297 (GBE_HC337) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 69 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001297/ScoringFiles/PGS001297.txt.gz |
| PGS001300 (GBE_BIN21068) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Celiac disease or gluten sensitivity, diagnosed | celiac disease | 9 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001300/ScoringFiles/PGS001300.txt.gz |
| PGS001301 (GBE_HC303) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Malabsorption/coeliac disease | celiac disease | 428 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001301/ScoringFiles/PGS001301.txt.gz |
| PGS001306 (GBE_HC201) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Ulcerative colitis | ulcerative colitis | 179 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001306/ScoringFiles/PGS001306.txt.gz |
| PGS001307 (GBE_HC1102) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Ulcerative colitis (time-to-event) | ulcerative colitis | 809 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001307/ScoringFiles/PGS001307.txt.gz |
| PGS001308 (GBE_HC321) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Sjogren's syndrome/sicca syndrome | Sjogren syndrome | 7 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001308/ScoringFiles/PGS001308.txt.gz |
| PGS001327 (GBE_HC221) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Diabetes | diabetes mellitus | 4,053 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001327/ScoringFiles/PGS001327.txt.gz |
| PGS001329 (GBE_HC652) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Unspecified diabetes mellitus (time-to-event) | diabetes mellitus | 2,270 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001329/ScoringFiles/PGS001329.txt.gz |
| PGS001330 (GBE_HC1101) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Crohn's disease [regional enteritis] (time-to-event) | Crohn's disease | 220 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001330/ScoringFiles/PGS001330.txt.gz |
| PGS001331 (GBE_HC322) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Crohn's disease | Crohn's disease | 257 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001331/ScoringFiles/PGS001331.txt.gz |
| PGS001357 (T2D_AnnoPred_PRS) |
PGP000252 | Ye Y et al. Circ Genom Precis Med (2021) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 2,996,761 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001357/ScoringFiles/PGS001357.txt.gz | |
| PGS001369 (GBE_HC1090) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Acute appendicitis (time-to-event) | appendicitis | 4 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001369/ScoringFiles/PGS001369.txt.gz |
| PGS001371 (GBE_INI2976) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Age diabetes diagnosed | diabetes mellitus, age at diagnosis |
26 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001371/ScoringFiles/PGS001371.txt.gz |
| PGS001390 (GBE_HC1084) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Duodenal ulcer (time-to-event) | duodenal ulcer | 220 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001390/ScoringFiles/PGS001390.txt.gz |
| PGS001516 (GBE_HC1112) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Other diseases of intestine (time-to-event) | intestinal disease | 90 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001516/ScoringFiles/PGS001516.txt.gz |
| PGS001776 (PRS45_CC) |
PGP000256 | Gafni A et al. PLoS One (2021) |
Colorectal cancer | colorectal cancer | 45 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001776/ScoringFiles/PGS001776.txt.gz |
| PGS001777 (3-SNP_cirr) |
PGP000258 | Whitfield JB et al. J Hepatol (2021) |
Cirrhosis (alcohol related) | alcoholic liver cirrhosis | 3 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001777/ScoringFiles/PGS001777.txt.gz |
| PGS001781 (T2D_PRSCS) |
PGP000261 | Tamlander M et al. Commun Biol (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 1,091,673 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001781/ScoringFiles/PGS001781.txt.gz |
| PGS001785 (1kgeur_gbmi_leaveUKBBout_AcApp_pst_eff_a1_b0.5_phiauto) |
PGP000262 | Wang Y et al. Cell Genom (2023) |
Acute appendicitis | appendicitis | 911,334 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001785/ScoringFiles/PGS001785.txt.gz |
| PGS001802 (portability-PLR_153) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Colorectal cancer | colorectal cancer | 2,821 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001802/ScoringFiles/PGS001802.txt.gz |
| PGS001811 (portability-PLR_208) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Benign neoplasm of colon | benign colon neoplasm | 2,231 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001811/ScoringFiles/PGS001811.txt.gz |
| PGS001812 (portability-PLR_211) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Benign neoplasm of other parts of digestive system | benign digestive system neoplasm | 801 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001812/ScoringFiles/PGS001812.txt.gz |
| PGS001817 (portability-PLR_250.1) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 825 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001817/ScoringFiles/PGS001817.txt.gz |
| PGS001818 (portability-PLR_250.2) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 30,745 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001818/ScoringFiles/PGS001818.txt.gz |
| PGS001851 (portability-PLR_530.1) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Esophagitis, GERD and related diseases | gastroesophageal reflux disease, esophagitis |
13,855 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001851/ScoringFiles/PGS001851.txt.gz |
| PGS001852 (portability-PLR_535.6) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Duodenitis | duodenitis | 191 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001852/ScoringFiles/PGS001852.txt.gz |
| PGS001853 (portability-PLR_540) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Appendiceal conditions | disorder of appendix | 19 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001853/ScoringFiles/PGS001853.txt.gz |
| PGS001855 (portability-PLR_555.2) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Ulcerative colitis | ulcerative colitis | 1,505 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001855/ScoringFiles/PGS001855.txt.gz |
| PGS001856 (portability-PLR_557.1) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Celiac disease | celiac disease | 1,661 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001856/ScoringFiles/PGS001856.txt.gz |
| PGS001858 (portability-PLR_564) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Functional digestive disorders | digestive system disease | 764 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001858/ScoringFiles/PGS001858.txt.gz |
| PGS001859 (portability-PLR_565.1) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Anal and rectal polyp | polyp of rectum, anal polyp |
789 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001859/ScoringFiles/PGS001859.txt.gz |
| PGS001860 (portability-PLR_571.5) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Other chronic nonalcoholic liver disease | liver disease | 497 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001860/ScoringFiles/PGS001860.txt.gz |
| PGS001861 (portability-PLR_574) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Cholelithiasis and cholecystitis | cholelithiasis, Cholecystitis |
2,059 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001861/ScoringFiles/PGS001861.txt.gz |
| PGS001862 (portability-PLR_575) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Other biliary tract disease | biliary tract disease | 151 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001862/ScoringFiles/PGS001862.txt.gz |
| PGS001894 (portability-PLR_celiac_gluten) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Diagnosed with coeliac disease or gluten sensitivity | celiac disease | 484 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001894/ScoringFiles/PGS001894.txt.gz |
| PGS002013 (portability-ldpred2_153) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Colorectal cancer | colorectal cancer | 648,559 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002013/ScoringFiles/PGS002013.txt.gz |
| PGS002019 (portability-ldpred2_208) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Benign neoplasm of colon | benign colon neoplasm | 667,546 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002019/ScoringFiles/PGS002019.txt.gz |
| PGS002020 (portability-ldpred2_211) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Benign neoplasm of other parts of digestive system | benign digestive system neoplasm | 503,832 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002020/ScoringFiles/PGS002020.txt.gz |
| PGS002025 (portability-ldpred2_250.1) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 106,800 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002025/ScoringFiles/PGS002025.txt.gz |
| PGS002026 (portability-ldpred2_250.2) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 830,783 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002026/ScoringFiles/PGS002026.txt.gz |
| PGS002063 (portability-ldpred2_530.1) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Esophagitis, GERD and related diseases | gastroesophageal reflux disease, esophagitis |
836,413 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002063/ScoringFiles/PGS002063.txt.gz |
| PGS002064 (portability-ldpred2_540) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Appendiceal conditions | disorder of appendix | 497,422 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002064/ScoringFiles/PGS002064.txt.gz |
| PGS002066 (portability-ldpred2_555.2) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Ulcerative colitis | ulcerative colitis | 566,637 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002066/ScoringFiles/PGS002066.txt.gz |
| PGS002067 (portability-ldpred2_557.1) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Celiac disease | celiac disease | 58,231 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002067/ScoringFiles/PGS002067.txt.gz |
| PGS002069 (portability-ldpred2_564) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Functional digestive disorders | digestive system disease | 747,820 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002069/ScoringFiles/PGS002069.txt.gz |
| PGS002070 (portability-ldpred2_565.1) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Anal and rectal polyp | polyp of rectum, anal polyp |
584,133 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002070/ScoringFiles/PGS002070.txt.gz |
| PGS002071 (portability-ldpred2_571.5) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Other chronic nonalcoholic liver disease | liver disease | 352,506 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002071/ScoringFiles/PGS002071.txt.gz |
| PGS002072 (portability-ldpred2_574) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Cholelithiasis and cholecystitis | cholelithiasis, Cholecystitis |
428,587 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002072/ScoringFiles/PGS002072.txt.gz |
| PGS002073 (portability-ldpred2_575) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Other biliary tract disease | biliary tract disease | 363,801 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002073/ScoringFiles/PGS002073.txt.gz |
| PGS002107 (portability-ldpred2_celiac_gluten) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Diagnosed with coeliac disease or gluten sensitivity | celiac disease | 39,066 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002107/ScoringFiles/PGS002107.txt.gz |
| PGS002243 (ldpred_t2d) |
PGP000271 | Mars N et al. Cell Genom (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 6,431,973 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002243/ScoringFiles/PGS002243.txt.gz | |
| PGS002252 (PRS_CRC) |
PGP000279 | Archambault AN et al. J Natl Cancer Inst (2022) |
Colorectal cancer | colorectal cancer | 141 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002252/ScoringFiles/PGS002252.txt.gz |
| PGS002256 (GRS4_GDM) |
PGP000282 | Wu Q et al. Diabetol Metab Syndr (2022) |
Gestational diabetes mellitus in early pregnancy | gestational diabetes | 4 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002256/ScoringFiles/PGS002256.txt.gz | |
| PGS002264 (PRS_Combined) |
PGP000293 | Sharma S et al. Gastroenterology (2022) |
Pancreatic ductal adenocarcinoma | pancreatic ductal adenocarcinoma | 49 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002264/ScoringFiles/PGS002264.txt.gz |
| PGS002265 (PRS140_CRC) |
PGP000294 | Thomas M et al. Am J Hum Genet (2020) |
Colorectal cancer | colorectal cancer | 140 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002265/ScoringFiles/PGS002265.txt.gz |
| PGS002277 (pPS_Insulin_secretion_1) |
PGP000305 | Siddiqui MK et al. Diabetologia (2022) |
Type 2 diabetes (based on SNPs associated with insulin secretion) | type 2 diabetes mellitus | 8 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002277/ScoringFiles/PGS002277.txt.gz |
| PGS002282 (GRS68_NAFLD) |
PGP000312 | Schnurr TM et al. Hepatol Commun (2022) |
Nonalcoholic fatty liver disease | non-alcoholic fatty liver disease | 68 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002282/ScoringFiles/PGS002282.txt.gz |
| PGS002283 (GRS15_NAFLD) |
PGP000312 | Schnurr TM et al. Hepatol Commun (2022) |
Nonalcoholic fatty liver disease | non-alcoholic fatty liver disease | 15 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002283/ScoringFiles/PGS002283.txt.gz |
| PGS002298 (PRS14_esophageal) |
PGP000328 | Choi J et al. Int J Cancer (2020) |
Esophageal cancer | esophageal carcinoma | 14 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002298/ScoringFiles/PGS002298.txt.gz |
| PGS002299 (PRS3_gastric) |
PGP000328 | Choi J et al. Int J Cancer (2020) |
Gastric cancer | gastric cancer | 3 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002299/ScoringFiles/PGS002299.txt.gz |
| PGS002308 (PRScsx_T2D) |
PGP000331 | Ge T et al. Genome Med (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 1,259,754 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002308/ScoringFiles/PGS002308.txt.gz |
| PGS002321 (disease_DIABETES_ANY_DIAGNOSED.BOLT-LMM) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Diabetes (any type) | diabetes mellitus | 1,109,311 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002321/ScoringFiles/PGS002321.txt.gz |
| PGS002324 (disease_ENDOCRINE_DIABETES.BOLT-LMM) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Endocrine and diabetes diseases | diabetes mellitus, endocrine system disease |
1,109,311 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002324/ScoringFiles/PGS002324.txt.gz |
| PGS002354 (disease_T2D.BOLT-LMM) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 1,109,311 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002354/ScoringFiles/PGS002354.txt.gz |
| PGS002379 (disease_T2D.BOLT-LMM-BBJ) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 920,930 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002379/ScoringFiles/PGS002379.txt.gz |
| PGS002393 (disease_DIABETES_ANY_DIAGNOSED.P+T.0.0001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Diabetes (any type) | diabetes mellitus | 3,813 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002393/ScoringFiles/PGS002393.txt.gz |
| PGS002396 (disease_ENDOCRINE_DIABETES.P+T.0.0001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Endocrine and diabetes diseases | diabetes mellitus, endocrine system disease |
3,681 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002396/ScoringFiles/PGS002396.txt.gz |
| PGS002426 (disease_T2D.P+T.0.0001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 3,947 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002426/ScoringFiles/PGS002426.txt.gz |
| PGS002442 (disease_DIABETES_ANY_DIAGNOSED.P+T.0.001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Diabetes (any type) | diabetes mellitus | 15,915 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002442/ScoringFiles/PGS002442.txt.gz |
| PGS002445 (disease_ENDOCRINE_DIABETES.P+T.0.001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Endocrine and diabetes diseases | diabetes mellitus, endocrine system disease |
15,629 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002445/ScoringFiles/PGS002445.txt.gz |
| PGS002475 (disease_T2D.P+T.0.001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 16,275 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002475/ScoringFiles/PGS002475.txt.gz |
| PGS002491 (disease_DIABETES_ANY_DIAGNOSED.P+T.0.01) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Diabetes (any type) | diabetes mellitus | 95,066 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002491/ScoringFiles/PGS002491.txt.gz |
| PGS002494 (disease_ENDOCRINE_DIABETES.P+T.0.01) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Endocrine and diabetes diseases | diabetes mellitus, endocrine system disease |
93,293 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002494/ScoringFiles/PGS002494.txt.gz |
| PGS002524 (disease_T2D.P+T.0.01) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 95,287 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002524/ScoringFiles/PGS002524.txt.gz |
| PGS002540 (disease_DIABETES_ANY_DIAGNOSED.P+T.1e-06) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Diabetes (any type) | diabetes mellitus | 598 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002540/ScoringFiles/PGS002540.txt.gz |
| PGS002543 (disease_ENDOCRINE_DIABETES.P+T.1e-06) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Endocrine and diabetes diseases | diabetes mellitus, endocrine system disease |
528 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002543/ScoringFiles/PGS002543.txt.gz |
| PGS002573 (disease_T2D.P+T.1e-06) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 673 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002573/ScoringFiles/PGS002573.txt.gz |
| PGS002589 (disease_DIABETES_ANY_DIAGNOSED.P+T.5e-08) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Diabetes (any type) | diabetes mellitus | 267 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002589/ScoringFiles/PGS002589.txt.gz |
| PGS002592 (disease_ENDOCRINE_DIABETES.P+T.5e-08) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Endocrine and diabetes diseases | diabetes mellitus, endocrine system disease |
187 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002592/ScoringFiles/PGS002592.txt.gz |
| PGS002622 (disease_T2D.P+T.5e-08) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 293 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002622/ScoringFiles/PGS002622.txt.gz |
| PGS002638 (disease_DIABETES_ANY_DIAGNOSED.PolyFun-pred) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Diabetes (any type) | diabetes mellitus | 247,386 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002638/ScoringFiles/PGS002638.txt.gz |
| PGS002641 (disease_ENDOCRINE_DIABETES.PolyFun-pred) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Endocrine and diabetes diseases | diabetes mellitus, endocrine system disease |
256,678 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002641/ScoringFiles/PGS002641.txt.gz |
| PGS002671 (disease_T2D.PolyFun-pred) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 258,382 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002671/ScoringFiles/PGS002671.txt.gz |
| PGS002687 (disease_DIABETES_ANY_DIAGNOSED.SBayesR) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Diabetes (any type) | diabetes mellitus | 923,080 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002687/ScoringFiles/PGS002687.txt.gz |
| PGS002690 (disease_ENDOCRINE_DIABETES.SBayesR) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Endocrine and diabetes diseases | diabetes mellitus, endocrine system disease |
905,637 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002690/ScoringFiles/PGS002690.txt.gz |
| PGS002720 (disease_T2D.SBayesR) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 911,809 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002720/ScoringFiles/PGS002720.txt.gz |
| PGS002733 (GRS17_T2D) |
PGP000342 | Pezzilli S et al. Diabetes Metab (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 17 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002733/ScoringFiles/PGS002733.txt.gz |
| PGS002740 (PRS22_PC) |
PGP000347 | Yuan C et al. Ann Oncol (2022) |
Pancreatic cancer | pancreatic carcinoma | 22 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002740/ScoringFiles/PGS002740.txt.gz |
| PGS002742 (PRS115_EAS) |
PGP000354 | Ping J et al. Int J Cancer (2022) |
Colorectal cancer | colorectal cancer | 115 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002742/ScoringFiles/PGS002742.txt.gz | |
| PGS002743 (PRS115_EUR) |
PGP000354 | Ping J et al. Int J Cancer (2022) |
Colorectal cancer | colorectal cancer | 115 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002743/ScoringFiles/PGS002743.txt.gz | |
| PGS002744 (PRS115_EUR_EAS) |
PGP000354 | Ping J et al. Int J Cancer (2022) |
Colorectal cancer | colorectal cancer | 115 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002744/ScoringFiles/PGS002744.txt.gz | |
| PGS002747 (PRS_GI) |
PGP000359 | Liu Y et al. Cancer Med (2022) |
Gastrointestinal cancer | Digestive System Carcinoma | 106 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002747/ScoringFiles/PGS002747.txt.gz |
| PGS002758 (Colorectal_cancer_prscs) |
PGP000364 | Mars N et al. Am J Hum Genet (2022) |
Colorectal cancer | colorectal cancer | 1,087,843 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002758/ScoringFiles/PGS002758.txt.gz |
| PGS002771 (Type_2_diabetes_prscs) |
PGP000364 | Mars N et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 1,091,608 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002771/ScoringFiles/PGS002771.txt.gz |
| PGS002779 (GTG_T2D_maxCT) |
PGP000365 | Wong CK et al. PLoS One (2022) |
Incident type 2 diabetes | type 2 diabetes mellitus | 46,353 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002779/ScoringFiles/PGS002779.txt.gz | |
| PGS002780 (GTG_T2D_SCT) |
PGP000365 | Wong CK et al. PLoS One (2022) |
Incident type 2 diabetes | type 2 diabetes mellitus | 419,209 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002780/ScoringFiles/PGS002780.txt.gz | |
| PGS003089 (ExPRSweb_T2D_2443_LASSOSUM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 488,969 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003089/ScoringFiles/PGS003089.txt.gz | |
| PGS003090 (ExPRSweb_T2D_2443_PT_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 1,888 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003090/ScoringFiles/PGS003090.txt.gz | |
| PGS003091 (ExPRSweb_T2D_2443_PLINK_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 2,707 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003091/ScoringFiles/PGS003091.txt.gz | |
| PGS003092 (ExPRSweb_T2D_2443_DBSLMM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 10,304,000 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003092/ScoringFiles/PGS003092.txt.gz | |
| PGS003093 (ExPRSweb_T2D_2443_PRSCS_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 1,113,832 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003093/ScoringFiles/PGS003093.txt.gz | |
| PGS003094 (ExPRSweb_T2D_29358691-GCST005413_LASSOSUM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 266,890 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003094/ScoringFiles/PGS003094.txt.gz | |
| PGS003095 (ExPRSweb_T2D_29358691-GCST005413_PT_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 45 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003095/ScoringFiles/PGS003095.txt.gz | |
| PGS003096 (ExPRSweb_T2D_29358691-GCST005413_PLINK_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 46 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003096/ScoringFiles/PGS003096.txt.gz | |
| PGS003097 (ExPRSweb_T2D_29358691-GCST005413_DBSLMM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 229 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003097/ScoringFiles/PGS003097.txt.gz | |
| PGS003098 (ExPRSweb_T2D_29358691-GCST005413_PRSCS_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 1,116,101 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003098/ScoringFiles/PGS003098.txt.gz | |
| PGS003099 (ExPRSweb_T2D_30054458-GCST006867_LASSOSUM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 555,512 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003099/ScoringFiles/PGS003099.txt.gz | |
| PGS003100 (ExPRSweb_T2D_30054458-GCST006867_PT_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 5,693 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003100/ScoringFiles/PGS003100.txt.gz | |
| PGS003101 (ExPRSweb_T2D_30054458-GCST006867_PLINK_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 5,693 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003101/ScoringFiles/PGS003101.txt.gz | |
| PGS003102 (ExPRSweb_T2D_30054458-GCST006867_DBSLMM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 5,052,574 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003102/ScoringFiles/PGS003102.txt.gz | |
| PGS003103 (ExPRSweb_T2D_30054458-GCST006867_PRSCS_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 945,820 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003103/ScoringFiles/PGS003103.txt.gz | |
| PGS003104 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_LASSOSUM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 374,510 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003104/ScoringFiles/PGS003104.txt.gz | |
| PGS003105 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_PT_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 187 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003105/ScoringFiles/PGS003105.txt.gz | |
| PGS003106 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_PLINK_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 187 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003106/ScoringFiles/PGS003106.txt.gz | |
| PGS003107 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_DBSLMM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 995 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003107/ScoringFiles/PGS003107.txt.gz | |
| PGS003108 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_PRSCS_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 1,118,480 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003108/ScoringFiles/PGS003108.txt.gz | |
| PGS003109 (ExPRSweb_T2D_29358691-GCST005413_LASSOSUM_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 311,565 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003109/ScoringFiles/PGS003109.txt.gz | |
| PGS003110 (ExPRSweb_T2D_29358691-GCST005413_PT_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 118 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003110/ScoringFiles/PGS003110.txt.gz | |
| PGS003111 (ExPRSweb_T2D_29358691-GCST005413_PLINK_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 143 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003111/ScoringFiles/PGS003111.txt.gz | |
| PGS003112 (ExPRSweb_T2D_29358691-GCST005413_DBSLMM_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 222 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003112/ScoringFiles/PGS003112.txt.gz | |
| PGS003113 (ExPRSweb_T2D_29358691-GCST005413_PRSCS_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 1,117,087 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003113/ScoringFiles/PGS003113.txt.gz | |
| PGS003114 (ExPRSweb_T2D_30054458-GCST006867_LASSOSUM_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 555,528 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003114/ScoringFiles/PGS003114.txt.gz | |
| PGS003115 (ExPRSweb_T2D_30054458-GCST006867_PT_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 31,462 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003115/ScoringFiles/PGS003115.txt.gz | |
| PGS003116 (ExPRSweb_T2D_30054458-GCST006867_PLINK_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 31,462 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003116/ScoringFiles/PGS003116.txt.gz | |
| PGS003117 (ExPRSweb_T2D_30054458-GCST006867_DBSLMM_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 5,052,993 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003117/ScoringFiles/PGS003117.txt.gz | |
| PGS003118 (ExPRSweb_T2D_30054458-GCST006867_PRSCS_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 945,921 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003118/ScoringFiles/PGS003118.txt.gz | |
| PGS003119 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_LASSOSUM_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 407,553 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003119/ScoringFiles/PGS003119.txt.gz | |
| PGS003120 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_PT_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 193 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003120/ScoringFiles/PGS003120.txt.gz | |
| PGS003121 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_PLINK_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 193 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003121/ScoringFiles/PGS003121.txt.gz | |
| PGS003122 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_DBSLMM_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 264 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003122/ScoringFiles/PGS003122.txt.gz | |
| PGS003123 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_PRSCS_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 1,119,522 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003123/ScoringFiles/PGS003123.txt.gz | |
| PGS003353 (GRS_T2D) |
PGP000405 | Kim YJ et al. Nat Commun (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 287 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003353/ScoringFiles/PGS003353.txt.gz |
| PGS003386 (best_COADREAD) |
PGP000413 | Namba S et al. Cancer Res (2022) |
Colorectal cancer | colorectal carcinoma | 61 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003386/ScoringFiles/PGS003386.txt.gz |
| PGS003387 (best_ESCA_BEEA) |
PGP000413 | Namba S et al. Cancer Res (2022) |
Esophageal adenocarcinoma or Barrett’s esophagus | Barrett's esophagus, esophageal adenocarcinoma |
601,980 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003387/ScoringFiles/PGS003387.txt.gz |
| PGS003388 (best_ESCA_EA) |
PGP000413 | Namba S et al. Cancer Res (2022) |
Esophageal adenocarcinoma | esophageal adenocarcinoma | 356,743 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003388/ScoringFiles/PGS003388.txt.gz |
| PGS003395 (PRScsx_CRC) |
PGP000414 | Xin J et al. Genome Med (2023) |
Colorectal cancer | colorectal cancer | 1,145,689 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003395/ScoringFiles/PGS003395.txt.gz |
| PGS003402 (PRS_T2D) |
PGP000419 | Lamri A et al. Elife (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 6,838 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003402/ScoringFiles/PGS003402.txt.gz | |
| PGS003431 (LDPred2-inf) |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Colorectal cancer | colorectal cancer | 1,104,409 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003431/ScoringFiles/PGS003431.txt.gz | |
| PGS003432 (LDPred2-grid) |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Colorectal cancer | colorectal cancer | 1,104,409 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003432/ScoringFiles/PGS003432.txt.gz | |
| PGS003433 (LDPred2-grid-sp) |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Colorectal cancer | colorectal cancer | 616,956 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003433/ScoringFiles/PGS003433.txt.gz | |
| PGS003434 (SCT) |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Colorectal cancer | colorectal cancer | 194,756 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003434/ScoringFiles/PGS003434.txt.gz | |
| PGS003435 (CT) |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Colorectal cancer | colorectal cancer | 13,446 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003435/ScoringFiles/PGS003435.txt.gz | |
| PGS003436 (GWAS-sig) |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Colorectal cancer | colorectal cancer | 50 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003436/ScoringFiles/PGS003436.txt.gz | |
| PGS003439 (PRSCC_140) |
PGP000441 | Su YR et al. Cancer Epidemiol Biomarkers Prev (2023) |
Colorectal cancer | colorectal cancer | 140 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003439/ScoringFiles/PGS003439.txt.gz | |
| PGS003443 (PRScsx_T2D_LAT_EURweights) |
PGP000445 | Huerta-Chagoya A et al. Diabetologia (2023) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 1,092,496 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003443/ScoringFiles/PGS003443.txt.gz | |
| PGS003444 (PRScsx_T2D_LAT_EASweights) |
PGP000445 | Huerta-Chagoya A et al. Diabetologia (2023) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 1,001,579 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003444/ScoringFiles/PGS003444.txt.gz | |
| PGS003445 (PRScsx_T2D_LAT_LATweights) |
PGP000445 | Huerta-Chagoya A et al. Diabetologia (2023) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 1,149,210 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003445/ScoringFiles/PGS003445.txt.gz | |
| PGS003451 (PRS2_MZL) |
PGP000448 | Berndt SI et al. Leukemia (2022) |
Marginal zone lymphoma | marginal zone B-cell lymphoma | 2 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003451/ScoringFiles/PGS003451.txt.gz |
| PGS003728 (PS_T2D_183-AGEN) |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 183 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003728/ScoringFiles/PGS003728.txt.gz |
| PGS003729 (PS_T2D_293-DIAGRAM) |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 293 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003729/ScoringFiles/PGS003729.txt.gz |
| PGS003730 (PS_T2D_287-DIAMANTE) |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 287 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003730/ScoringFiles/PGS003730.txt.gz |
| PGS003731 (PS_T2D_282-SAS-DIAMANTE) |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 282 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003731/ScoringFiles/PGS003731.txt.gz |
| PGS003732 (PS_T2D_287-HIS-DIAMANTE) |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 287 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003732/ScoringFiles/PGS003732.txt.gz |
| PGS003733 (PS_T2D_287-EUR-DIAMANTE) |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 287 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003733/ScoringFiles/PGS003733.txt.gz |
| PGS003734 (PS_T2D_280-EAS-DIAMANTE) |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 280 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003734/ScoringFiles/PGS003734.txt.gz |
| PGS003735 (PS_T2D_276-AFR-DIAMANTE) |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 276 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003735/ScoringFiles/PGS003735.txt.gz |
| PGS003739 (PRS81_CoC) |
PGP000470 | Xin J et al. EBioMedicine (2023) |
Colorectal cancer | colorectal carcinoma | 81 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003739/ScoringFiles/PGS003739.txt.gz | |
| PGS003742 (PRS19_PC) |
PGP000470 | Xin J et al. EBioMedicine (2023) |
Pancreatic cancer | pancreatic neoplasm | 19 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003742/ScoringFiles/PGS003742.txt.gz | |
| PGS003749 (ModelT1D_under25) |
PGP000472 | Shoaib M et al. Genet Epidemiol (2023) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 6,612 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003749/ScoringFiles/PGS003749.txt.gz | |
| PGS003750 (ModelT1D) |
PGP000472 | Shoaib M et al. Genet Epidemiol (2023) |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 7,835 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003750/ScoringFiles/PGS003750.txt.gz | |
| PGS003751 (ModelT2D_over45) |
PGP000472 | Shoaib M et al. Genet Epidemiol (2023) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 354 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003751/ScoringFiles/PGS003751.txt.gz | |
| PGS003752 (ModelT2D) |
PGP000472 | Shoaib M et al. Genet Epidemiol (2023) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 333 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003752/ScoringFiles/PGS003752.txt.gz | |
| PGS003760 (PRS49_EOCRC) |
PGP000480 | Wang H et al. Genome Med (2023) |
Early onset colorectal cancer | colorectal cancer | 49 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003760/ScoringFiles/PGS003760.txt.gz |
| PGS003850 (CRC_PRS_200loci) |
PGP000491 | Fernandez-Rozadilla C et al. Nat Genet (2022) |
Colorectal cancer | colorectal cancer | 205 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003850/ScoringFiles/PGS003850.txt.gz |
| PGS003851 (CRC_PRS_EUR) |
PGP000294 | Thomas M et al. Am J Hum Genet (2020) |
Colorectal cancer | colorectal cancer | 1,180,765 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003851/ScoringFiles/PGS003851.txt.gz |
| PGS003852 (CRC_PRS_EUR_EAS) |
PGP000492 | Thomas M T et al. medRxiv (2023) |Pre |
Colorectal cancer | colorectal cancer | 1,016,596 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003852/ScoringFiles/PGS003852.txt.gz |
| PGS003867 (T2D_PRScs_ARB) |
PGP000501 | Shim I et al. Nature Communications (2023) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 1,068,166 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003867/ScoringFiles/PGS003867.txt.gz |
| PGS003979 (CRC_PRSCS) |
PGP000515 | Tamlander M et al. Br J Cancer (2023) |
Colorectal cancer | colorectal carcinoma | 1,088,133 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003979/ScoringFiles/PGS003979.txt.gz |
| PGS003981 (dbslmm.auto.GCST004131.IBD) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Inflammatory bowel disease (IBD) | inflammatory bowel disease | 1,103,311 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003981/ScoringFiles/PGS003981.txt.gz | |
| PGS003982 (dbslmm.auto.GCST004773.T2D) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 1,071,764 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003982/ScoringFiles/PGS003982.txt.gz | |
| PGS003993 (dbslmm.auto.GCST90013445.T1D) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 63,182 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003993/ScoringFiles/PGS003993.txt.gz | |
| PGS003997 (lassosum.auto.GCST004131.IBD) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Inflammatory bowel disease (IBD) | inflammatory bowel disease | 8,406 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003997/ScoringFiles/PGS003997.txt.gz | |
| PGS003998 (lassosum.auto.GCST004773.T2D) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 5,548 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003998/ScoringFiles/PGS003998.txt.gz | |
| PGS004009 (lassosum.auto.GCST90013445.T1D) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 4,031 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004009/ScoringFiles/PGS004009.txt.gz | |
| PGS004013 (lassosum.CV.GCST004131.IBD) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Inflammatory bowel disease (IBD) | inflammatory bowel disease | 22,690 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004013/ScoringFiles/PGS004013.txt.gz | |
| PGS004014 (lassosum.CV.GCST004773.T2D) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 95,649 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004014/ScoringFiles/PGS004014.txt.gz | |
| PGS004020 (lassosum.CV.GCST90013445.T1D) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 6,682 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004020/ScoringFiles/PGS004020.txt.gz | |
| PGS004023 (ldpred2.auto.GCST004131.IBD) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Inflammatory bowel disease (IBD) | inflammatory bowel disease | 1,018,068 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004023/ScoringFiles/PGS004023.txt.gz | |
| PGS004024 (ldpred2.auto.GCST004773.T2D) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 958,046 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004024/ScoringFiles/PGS004024.txt.gz | |
| PGS004035 (ldpred2.auto.GCST90013445.T1D) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 56,562 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004035/ScoringFiles/PGS004035.txt.gz | |
| PGS004038 (ldpred2.CV.GCST004131.IBD) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Inflammatory bowel disease (IBD) | inflammatory bowel disease | 1,018,068 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004038/ScoringFiles/PGS004038.txt.gz | |
| PGS004039 (ldpred2.CV.GCST004773.T2D) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 958,046 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004039/ScoringFiles/PGS004039.txt.gz | |
| PGS004051 (megaprs.auto.GCST004131.IBD) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Inflammatory bowel disease (IBD) | inflammatory bowel disease | 784,928 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004051/ScoringFiles/PGS004051.txt.gz | |
| PGS004052 (megaprs.auto.GCST004773.T2D) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 800,598 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004052/ScoringFiles/PGS004052.txt.gz | |
| PGS004063 (megaprs.auto.GCST90013445.T1D) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 56,288 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004063/ScoringFiles/PGS004063.txt.gz | |
| PGS004067 (megaprs.CV.GCST004131.IBD) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Inflammatory bowel disease (IBD) | inflammatory bowel disease | 784,928 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004067/ScoringFiles/PGS004067.txt.gz | |
| PGS004068 (megaprs.CV.GCST004773.T2D) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 800,598 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004068/ScoringFiles/PGS004068.txt.gz | |
| PGS004078 (megaprs.CV.GCST90013445.T1D) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 56,288 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004078/ScoringFiles/PGS004078.txt.gz | |
| PGS004081 (prscs.auto.GCST004131.IBD) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Inflammatory bowel disease (IBD) | inflammatory bowel disease | 1,073,268 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004081/ScoringFiles/PGS004081.txt.gz | |
| PGS004082 (prscs.auto.GCST004773.T2D) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 1,043,329 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004082/ScoringFiles/PGS004082.txt.gz | |
| PGS004093 (prscs.auto.GCST90013445.T1D) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 61,651 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004093/ScoringFiles/PGS004093.txt.gz | |
| PGS004097 (prscs.CV.GCST004131.IBD) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Inflammatory bowel disease (IBD) | inflammatory bowel disease | 1,073,268 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004097/ScoringFiles/PGS004097.txt.gz | |
| PGS004102 (prscs.CV.GCST90013445.T1D) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 61,651 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004102/ScoringFiles/PGS004102.txt.gz | |
| PGS004105 (pt_clump.auto.GCST004131.IBD) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Inflammatory bowel disease (IBD) | inflammatory bowel disease | 139 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004105/ScoringFiles/PGS004105.txt.gz | |
| PGS004106 (pt_clump.auto.GCST004773.T2D) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 35 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004106/ScoringFiles/PGS004106.txt.gz | |
| PGS004117 (pt_clump.auto.GCST90013445.T1D) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 131 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004117/ScoringFiles/PGS004117.txt.gz | |
| PGS004121 (pt_clump_nested.CV.GCST004131.IBD) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Inflammatory bowel disease (IBD) | inflammatory bowel disease | 774 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004121/ScoringFiles/PGS004121.txt.gz | |
| PGS004122 (pt_clump_nested.CV.GCST004773.T2D) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 297 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004122/ScoringFiles/PGS004122.txt.gz | |
| PGS004132 (pt_clump_nested.CV.GCST90013445.T1D) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 354 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004132/ScoringFiles/PGS004132.txt.gz | |
| PGS004135 (sbayesr.auto.GCST004131.IBD) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Inflammatory bowel disease (IBD) | inflammatory bowel disease | 912,746 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004135/ScoringFiles/PGS004135.txt.gz | |
| PGS004136 (sbayesr.auto.GCST004773.T2D) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 930,497 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004136/ScoringFiles/PGS004136.txt.gz | |
| PGS004147 (sbayesr.auto.GCST90013445.T1D) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 45,996 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004147/ScoringFiles/PGS004147.txt.gz | |
| PGS004151 (UKBB_EnsPGS.GCST004131.IBD) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Inflammatory bowel disease (IBD) | inflammatory bowel disease | 1,102,205 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004151/ScoringFiles/PGS004151.txt.gz | |
| PGS004152 (UKBB_EnsPGS.GCST004773.T2D) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 1,071,786 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004152/ScoringFiles/PGS004152.txt.gz | |
| PGS004162 (UKBB_EnsPGS.GCST90013445.T1D) |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Type 1 diabetes (T1D) | type 1 diabetes mellitus | 62,645 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004162/ScoringFiles/PGS004162.txt.gz | |
| PGS004171 (t1d_1) |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Type 1 diabetes | type 1 diabetes mellitus | 520 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004171/ScoringFiles/PGS004171.txt.gz |
| PGS004172 (t1d_2) |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Type 1 diabetes | type 1 diabetes mellitus | 70 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004172/ScoringFiles/PGS004172.txt.gz |
| PGS004173 (t1d_3) |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Type 1 diabetes | type 1 diabetes mellitus | 295 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004173/ScoringFiles/PGS004173.txt.gz |
| PGS004174 (t1d_4) |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Type 1 diabetes | type 1 diabetes mellitus | 49 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004174/ScoringFiles/PGS004174.txt.gz |
| PGS004175 (t1d_5) |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Type 1 diabetes | type 1 diabetes mellitus | 315 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004175/ScoringFiles/PGS004175.txt.gz |
| PGS004181 (t2d_1) |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Type 2 diabetes | type 2 diabetes mellitus | 10,202 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004181/ScoringFiles/PGS004181.txt.gz |
| PGS004182 (t2d_2) |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Type 2 diabetes | type 2 diabetes mellitus | 10,778 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004182/ScoringFiles/PGS004182.txt.gz |
| PGS004183 (t2d_3) |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Type 2 diabetes | type 2 diabetes mellitus | 8,154 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004183/ScoringFiles/PGS004183.txt.gz |
| PGS004184 (t2d_4) |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Type 2 diabetes | type 2 diabetes mellitus | 9,645 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004184/ScoringFiles/PGS004184.txt.gz |
| PGS004185 (t2d_5) |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Type 2 diabetes | type 2 diabetes mellitus | 3,277 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004185/ScoringFiles/PGS004185.txt.gz |
| PGS004223 (PRS139_T2D) |
PGP000523 | Lin J et al. Sci Total Environ (2023) |
Type 2 diabetes | type 2 diabetes mellitus | 139 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004223/ScoringFiles/PGS004223.txt.gz |
| PGS004225 (PRS46_T2DEastAsia) |
PGP000526 | Liu J et al. Nutrients (2023) |
Type 2 diabetes | type 2 diabetes mellitus | 46 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004225/ScoringFiles/PGS004225.txt.gz |
| PGS004226 (PRS50_T2DEur) |
PGP000526 | Liu J et al. Nutrients (2023) |
Type 2 diabetes | type 2 diabetes mellitus | 50 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004226/ScoringFiles/PGS004226.txt.gz |
| PGS004240 (PRS89_CRC) |
PGP000541 | Fan L et al. Int J Cancer (2023) |
Colorectal cancer | colorectal carcinoma | 89 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004240/ScoringFiles/PGS004240.txt.gz |
| PGS004243 (PRS67_colorectum) |
PGP000542 | Kim ES et al. NPJ Precis Oncol (2023) |
Colorectal cancer | colorectal carcinoma | 67 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004243/ScoringFiles/PGS004243.txt.gz |
| PGS004250 (PRS19_pancreas) |
PGP000542 | Kim ES et al. NPJ Precis Oncol (2023) |
Pancreatic cancer | pancreatic carcinoma | 19 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004250/ScoringFiles/PGS004250.txt.gz |
| PGS004253 (uc_ldpred2) |
PGP000545 | Middha P et al. Nat Commun (2024) |
Ulcerative colitis | ulcerative colitis | 744,575 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004253/ScoringFiles/PGS004253.txt.gz | |
| PGS004254 (cd_ldpred2) |
PGP000545 | Middha P et al. Nat Commun (2024) |
Crohn's disease | Crohn's disease | 744,682 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004254/ScoringFiles/PGS004254.txt.gz | |
| PGS004320 (PRS16_UGI) |
PGP000551 | Liu W et al. Nutrients (2023) |
Upper gastrointestinal cancer | Digestive System Carcinoma | 16 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004320/ScoringFiles/PGS004320.txt.gz |
| PGS004323 (PRS91_T2D) |
PGP000557 | Tan Q et al. J Hazard Mater (2023) |
Type 2 diabetes | type 2 diabetes mellitus | 91 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004323/ScoringFiles/PGS004323.txt.gz |
| PGS004445 (disease.D12.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
D12 (Benign neoplasm of colon, rectum, anus and anal canal) | colorectal carcinoma | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004445/ScoringFiles/PGS004445.txt.gz |
| PGS004468 (disease.K21.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
K21 (Gastroesophageal reflux disease) | gastroesophageal reflux disease | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004468/ScoringFiles/PGS004468.txt.gz |
| PGS004469 (disease.K22.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
K22 (Other diseases of oesophagus) | esophageal disease | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004469/ScoringFiles/PGS004469.txt.gz |
| PGS004470 (disease.K29.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
K29 (Gastritis and duodenitis) | gastritis | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004470/ScoringFiles/PGS004470.txt.gz |
| PGS004474 (disease.K57.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
K57 (Diverticular disease of intestine) | diverticular disease | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004474/ScoringFiles/PGS004474.txt.gz |
| PGS004475 (disease.K59.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
K59 (Other functional intestinal disorders) | intestinal disease | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004475/ScoringFiles/PGS004475.txt.gz |
| PGS004476 (disease.K80.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
K80 (Cholelithiasis) | cholelithiasis | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004476/ScoringFiles/PGS004476.txt.gz |
| PGS004499 (disease.T2D.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004499/ScoringFiles/PGS004499.txt.gz |
| PGS004515 (meta.D12.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
D12 (Benign neoplasm of colon, rectum, anus and anal canal) | colorectal carcinoma | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004515/ScoringFiles/PGS004515.txt.gz |
| PGS004538 (meta.K21.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
K21 (Gastroesophageal reflux disease) | gastroesophageal reflux disease | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004538/ScoringFiles/PGS004538.txt.gz |
| PGS004539 (meta.K22.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
K22 (Other diseases of oesophagus) | esophageal disease | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004539/ScoringFiles/PGS004539.txt.gz |
| PGS004540 (meta.K29.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
K29 (Gastritis and duodenitis) | gastritis | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004540/ScoringFiles/PGS004540.txt.gz |
| PGS004544 (meta.K57.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
K57 (Diverticular disease of intestine) | diverticular disease | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004544/ScoringFiles/PGS004544.txt.gz |
| PGS004545 (meta.K59.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
K59 (Other functional intestinal disorders) | intestinal disease | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004545/ScoringFiles/PGS004545.txt.gz |
| PGS004546 (meta.K80.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
K80 (Cholelithiasis) | cholelithiasis | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004546/ScoringFiles/PGS004546.txt.gz |
| PGS004569 (meta.T2D.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004569/ScoringFiles/PGS004569.txt.gz |
| PGS004580 (CRC_PRSCS) |
PGP000562 | Youssef O et al. Lab Invest (2024) |
Colorectal cancer | colorectal carcinoma | 1,099,906 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004580/ScoringFiles/PGS004580.txt.gz |
| PGS004602 (PRS424_T2D) |
PGP000580 | Zhuang P et al. Diabetes Care (2021) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 424 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004602/ScoringFiles/PGS004602.txt.gz |
| PGS004614 (DivD_SNPWeights) |
PGP000592 | Wu Y et al. Cell Genom (2023) |
Diverticular disease | diverticular disease | 1,082,282 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004614/ScoringFiles/PGS004614.txt.gz |
| PGS004689 (colorectal_cancer) |
PGP000596 | Hu J et al. JNCI Cancer Spectr (2024) |
Colorectal cancer | colorectal carcinoma | 1,077,789 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004689/ScoringFiles/PGS004689.txt.gz | |
| PGS004693 (pancreatic_cancer) |
PGP000596 | Hu J et al. JNCI Cancer Spectr (2024) |
Pancreatic cancer | pancreatic carcinoma | 6,351,686 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004693/ScoringFiles/PGS004693.txt.gz | |
| PGS004837 (t2d_PRSmix_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 3,306,136 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004837/ScoringFiles/PGS004837.txt.gz |
| PGS004838 (t2d_PRSmix_sas) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 6,586,458 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004838/ScoringFiles/PGS004838.txt.gz |
| PGS004839 (t2d_PRSmixPlus_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 4,594,694 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004839/ScoringFiles/PGS004839.txt.gz |
| PGS004840 (t2d_PRSmixPlus_sas) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 6,586,458 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004840/ScoringFiles/PGS004840.txt.gz |
| PGS004859 (T2D_PRS_CS) |
PGP000605 | Deutsch AJ et al. Diabetes Care (2023) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 1,108,235 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004859/ScoringFiles/PGS004859.txt.gz |
| PGS004868 (T2DPGS) |
PGP000617 | Yun JS et al. Cardiovasc Diabetol (2022) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 6,580,804 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004868/ScoringFiles/PGS004868.txt.gz |
| PGS004887 (T2D_gePGS) |
PGP000619 | Mandla R et al. Genome Med (2024) |
Type 2 diabetes (T2D) | type 2 diabetes mellitus | 1,117,628 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004887/ScoringFiles/PGS004887.txt.gz |
|
PGS Performance Metric ID (PPM) |
Evaluated Score |
PGS Sample Set ID (PSS) |
Performance Source | Trait |
PGS Effect Sizes (per SD change) |
Classification Metrics | Other Metrics | Covariates Included in the Model |
PGS Performance: Other Relevant Information |
|---|---|---|---|---|---|---|---|---|---|
| PPM000023 | PGS000014 (GPS_T2D) |
PSS000017| European Ancestry| 288,978 individuals |
PGP000006 | Khera AV et al. Nat Genet (2018) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.73 [0.72, 0.73] | Nagelkerke’s R2 (estimate of variance explained by the PGS after covariate adjustment): 0.029 | age; sex; Ancestry PC 1-4; genotyping chip | — |
| PPM002477 | PGS000014 (GPS_T2D) |
PSS001117| European Ancestry| 68,229 individuals |
PGP000218 | He Y et al. Diabetes Care (2021) |Ext. |
Reported Trait: Incident type II diabetes | — | C-index: 0.709 [0.696, 0.722] | Hazard ratio (HR, top 10% vs. remaining 90%): 2.0 [1.73, 2.31] | Sex, age, principal components, assessment center | — |
| PPM002478 | PGS000014 (GPS_T2D) |
PSS001117| European Ancestry| 68,229 individuals |
PGP000218 | He Y et al. Diabetes Care (2021) |Ext. |
Reported Trait: Incident type II diabetes in males | — | C-index: 0.68 [0.663, 0.697] | — | Age, principal components and assessment center | — |
| PPM002479 | PGS000014 (GPS_T2D) |
PSS001117| European Ancestry| 68,229 individuals |
PGP000218 | He Y et al. Diabetes Care (2021) |Ext. |
Reported Trait: Incident type II diabetes in females | — | C-index: 0.705 [0.682, 0.728] | — | Age, principal components and assessment center | — |
| PPM002480 | PGS000014 (GPS_T2D) |
PSS001117| European Ancestry| 68,229 individuals |
PGP000218 | He Y et al. Diabetes Care (2021) |Ext. |
Reported Trait: Incident type II diabetes | — | C-index: 0.776 [0.764, 0.788] | — | Sex, age, principal components, assessment center, polyexposure score | — |
| PPM002481 | PGS000014 (GPS_T2D) |
PSS001117| European Ancestry| 68,229 individuals |
PGP000218 | He Y et al. Diabetes Care (2021) |Ext. |
Reported Trait: Incident type II diabetes | — | C-index: 0.844 [0.834, 0.854] | — | Sex, age, principal components, assessment center, clinical risk score | — |
| PPM002482 | PGS000014 (GPS_T2D) |
PSS001117| European Ancestry| 68,229 individuals |
PGP000218 | He Y et al. Diabetes Care (2021) |Ext. |
Reported Trait: Incident type II diabetes | — | C-index: 0.855 [0.845, 0.865] | — | Sex, age, principal components, assessment center, polyexposure socre, clinical risk score | — |
| PPM002483 | PGS000014 (GPS_T2D) |
PSS001117| European Ancestry| 68,229 individuals |
PGP000218 | He Y et al. Diabetes Care (2021) |Ext. |
Reported Trait: Incident type II diabetes in females | — | C-index: 0.786 [0.765, 0.807] | — | Age, principal components, assessment center, polyexposure score | — |
| PPM002485 | PGS000014 (GPS_T2D) |
PSS001117| European Ancestry| 68,229 individuals |
PGP000218 | He Y et al. Diabetes Care (2021) |Ext. |
Reported Trait: Incident type II diabetes in females | — | C-index: 0.859 [0.842, 0.876] | — | Sex, age, principal components, assessment center, clinical risk score | — |
| PPM002486 | PGS000014 (GPS_T2D) |
PSS001117| European Ancestry| 68,229 individuals |
PGP000218 | He Y et al. Diabetes Care (2021) |Ext. |
Reported Trait: Incident type II diabetes in males | — | C-index: 0.749 [0.734, 0.764] | — | Age, principal components, assessment center, polyexposure score | — |
| PPM002487 | PGS000014 (GPS_T2D) |
PSS001117| European Ancestry| 68,229 individuals |
PGP000218 | He Y et al. Diabetes Care (2021) |Ext. |
Reported Trait: Incident type II diabetes in males | — | C-index: 0.821 [0.808, 0.834] | — | Age, principal components, assessment center, polyexposure socre, clinical risk score | — |
| PPM002488 | PGS000014 (GPS_T2D) |
PSS001117| European Ancestry| 68,229 individuals |
PGP000218 | He Y et al. Diabetes Care (2021) |Ext. |
Reported Trait: Incident type II diabetes in males | — | C-index: 0.834 [0.821, 0.847] | — | Sex, age, principal components, assessment center, clinical risk score | — |
| PPM002484 | PGS000014 (GPS_T2D) |
PSS001117| European Ancestry| 68,229 individuals |
PGP000218 | He Y et al. Diabetes Care (2021) |Ext. |
Reported Trait: Incident type II diabetes in females | — | C-index: 0.869 [0.853, 0.885] | — | Age, principal components, assessment center, polyexposure socre, clinical risk score | — |
| PPM015522 | PGS000014 (GPS_T2D) |
PSS009971| Multi-ancestry (including European)| 36,422 individuals |
PGP000381 | Hao L et al. Nat Med (2022) |Ext. |
Reported Trait: Type 2 diabetes mellitus | OR: 1.75 [1.57, 1.95] | — | — | 4 genetic PCs | — |
| PPM019100 | PGS000014 (GPS_T2D) |
PSS011181| Ancestry Not Reported| 3,071 individuals |
PGP000504 | Duschek E et al. Sci Rep (2023) |Ext. |
Reported Trait: Incident type 2 diabetes | — | AUROC: 0.613 [0.565, 0.657] | — | — | — |
| PPM019098 | PGS000014 (GPS_T2D) |
PSS011181| Ancestry Not Reported| 3,071 individuals |
PGP000504 | Duschek E et al. Sci Rep (2023) |Ext. |
Reported Trait: Incident type 2 diabetes | OR: 1.67 [1.37, 2.03] | — | — | Age, Sex, BMI, Physical activity, FamRS | — |
| PPM019099 | PGS000014 (GPS_T2D) |
PSS011181| Ancestry Not Reported| 3,071 individuals |
PGP000504 | Duschek E et al. Sci Rep (2023) |Ext. |
Reported Trait: Prevelant type 2 diabetes | — | AUROC: 0.869 [0.842, 0.896] | — | — | — |
| PPM019097 | PGS000014 (GPS_T2D) |
PSS011181| Ancestry Not Reported| 3,071 individuals |
PGP000504 | Duschek E et al. Sci Rep (2023) |Ext. |
Reported Trait: Prevelant type 2 diabetes | OR: 6.21 [5.06, 7.74] | — | — | Age, Sex, BMI, Physical activity, FamRS | — |
| PPM000026 | PGS000017 (GPS_IBD) |
PSS000016| European Ancestry| 288,978 individuals |
PGP000006 | Khera AV et al. Nat Genet (2018) |
Reported Trait: Inflammatory bowel disease | — | AUROC: 0.63 [0.62, 0.64] | Nagelkerke’s R2 (estimate of variance explained by the PGS after covariate adjustment): 0.021 | age; sex; Ancestry PC 1-4; genotyping chip | — |
| PPM012874 | PGS000017 (GPS_IBD) |
PSS009588| European Ancestry| 1,433 individuals |
PGP000288 | Garcia-Etxebarria K et al. Sci Rep (2022) |Ext. |
Reported Trait: Inflammatory Bowel Disease | — | AUROC: 0.69 [0.66, 0.72] | — | — | — |
| PPM000040 | PGS000020 (dGRS1000) |
PSS000025| European Ancestry| 6,280 individuals |
PGP000010 | Läll K et al. Genet Med (2016) |
Reported Trait: Incident type 2 diabetes | HR: 1.48 [1.32, 1.66] | C-index: 0.79 [0.771, 0.812] | — | BMI category, smoking level, waist-to-hip ratio, waist circumference, physical activity level, history of high blood glucose, fruit and vegetable consumption, and sex. | Cox age-as-time-scale |
| PPM000132 | PGS000021 (GRS1) |
PSS000083| European Ancestry| 2,768 individuals |
PGP000038 | Patel KA et al. Diabetes (2016) |Ext. |
Reported Trait: Type 1 diabetes aetiology (non-monogenic) | — | AUROC: 0.87 [0.86, 0.89] | — | — | Testing the ability of the GRS to discriminate between two sets of cases: - Positive: individuals with type 1 diabetes - Negative: individuals with diabetes and a maturity-onset diabetes of young (MODY) mutation |
| PPM000041 | PGS000021 (GRS1) |
PSS000026| European Ancestry| 223 individuals |
PGP000011 | Oram RA et al. Diabetes Care (2015) |
Reported Trait: Severe insulin deficiency | — | AUROC: 0.96 [0.94, 0.99] | AUROC (without covariates): 0.87 | islet auto-antibody status, body mass index (BMI), age at diagnosis | — |
| PPM000046 | PGS000021 (GRS1) |
PSS000030| African Ancestry| 3,949 individuals |
PGP000013 | Onengut-Gumuscu S et al. Diabetes Care (2019) |Ext. |
Reported Trait: Type 1 diabetes | — | AUROC: 0.798 | — | — | — |
| PPM000049 | PGS000021 (GRS1) |
PSS000032| European Ancestry| 374,000 individuals |
PGP000014 | Sharp SA et al. Diabetes Care (2019) |Ext. |
Reported Trait: Type 1 diabetes | — | AUROC: 0.893 | — | — | — |
| PPM000042 | PGS000022 (T1D_GRS) |
PSS000029| European Ancestry| 1,447 individuals |
PGP000012 | Perry DJ et al. Sci Rep (2018) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.8508 | — | — | AUROCs are reported with respect to unrelated-control samples |
| PPM000043 | PGS000022 (T1D_GRS) |
PSS000028| Hispanic or Latin American Ancestry| 252 individuals |
PGP000012 | Perry DJ et al. Sci Rep (2018) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.9003 | — | — | AUROCs are reported with respect to unrelated-control samples |
| PPM000044 | PGS000022 (T1D_GRS) |
PSS000027| African Ancestry| 299 individuals |
PGP000012 | Perry DJ et al. Sci Rep (2018) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.7522 | — | — | AUROCs are reported with respect to unrelated-control samples |
| PPM000045 | PGS000023 (AA_GRS) |
PSS000030| African Ancestry| 3,949 individuals |
PGP000013 | Onengut-Gumuscu S et al. Diabetes Care (2019) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.87 | — | — | NOTE: Evaluated using cross-validation on training samples (20% heldout, 1000 iterations) |
| PPM000047 | PGS000023 (AA_GRS) |
PSS000031| African Ancestry| 145 individuals |
PGP000013 | Onengut-Gumuscu S et al. Diabetes Care (2019) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.779 | — | — | — |
| PPM018536 | PGS000023 (AA_GRS) |
PSS011012| Multi-ancestry (including European)| 39,820 individuals |
PGP000477 | Deutsch AJ et al. Diabetes Care (2023) |Ext. |
Reported Trait: Type 1 diabetes | — | AUROC: 0.781 | — | — | — |
| PPM018537 | PGS000023 (AA_GRS) |
PSS011009| Multi-ancestry (including European)| 57,643 individuals |
PGP000477 | Deutsch AJ et al. Diabetes Care (2023) |Ext. |
Reported Trait: Type 1 diabetes | — | AUROC: 0.817 | — | — | — |
| PPM018539 | PGS000023 (AA_GRS) |
PSS011011| European Ancestry| 16,663 individuals |
PGP000477 | Deutsch AJ et al. Diabetes Care (2023) |Ext. |
Reported Trait: Type 1 diabetes | — | — | PPV (+PRS): 97.0 % PPV (reference): 86.0 % |
eMERGE type 1 diabetes algorithm | — |
| PPM018541 | PGS000023 (AA_GRS) |
PSS011010| Multi-ancestry (excluding European)| 40,980 individuals |
PGP000477 | Deutsch AJ et al. Diabetes Care (2023) |Ext. |
Reported Trait: Type 1 diabetes | — | — | PPV (+PRS): 86.0 % PPV (reference): 71.0 % |
eMERGE type 1 diabetes algorithm | — |
| PPM018543 | PGS000023 (AA_GRS) |
PSS011013| Multi-ancestry (excluding European)| 4,881 individuals |
PGP000477 | Deutsch AJ et al. Diabetes Care (2023) |Ext. |
Reported Trait: Type 1 diabetes | — | — | PPV (+PRS): 83.0 % PPV (reference): 53.0 % |
eMERGE type 1 diabetes algorithm | — |
| PPM000048 | PGS000024 (GRS2) |
PSS000032| European Ancestry| 374,000 individuals |
PGP000014 | Sharp SA et al. Diabetes Care (2019) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.921 | Youden index: 0.698 | — | — |
| PPM000753 | PGS000024 (GRS2) |
PSS000368| Ancestry Not Reported| 7,798 individuals |
PGP000091 | Ferrat LA et al. Nat Med (2020) |Ext. |
Reported Trait: Type 1 diabetes (5 years horizon time; landmark age 2 years) | — | AUROC: 0.93 | — | autoantibodies, family history | — |
| PPM000754 | PGS000024 (GRS2) |
PSS000368| Ancestry Not Reported| 7,798 individuals |
PGP000091 | Ferrat LA et al. Nat Med (2020) |Ext. |
Reported Trait: Type 1 diabetes (8 years horizon time; landmark age 2 years) | — | AUROC: 0.87 | — | autoantibodies, family history | — |
| PPM000755 | PGS000024 (GRS2) |
PSS000368| Ancestry Not Reported| 7,798 individuals |
PGP000091 | Ferrat LA et al. Nat Med (2020) |Ext. |
Reported Trait: Type 1 diabetes (5 years horizon time; landmark age 4 years) | — | AUROC: 0.96 | — | autoantibodies, family history | — |
| PPM000751 | PGS000024 (GRS2) |
PSS000368| Ancestry Not Reported| 7,798 individuals |
PGP000091 | Ferrat LA et al. Nat Med (2020) |Ext. |
Reported Trait: Type 1 diabetes (1 year horizon time; landmark age 2 years) | — | AUROC: 0.96 | — | autoantibodies, family history | — |
| PPM000752 | PGS000024 (GRS2) |
PSS000368| Ancestry Not Reported| 7,798 individuals |
PGP000091 | Ferrat LA et al. Nat Med (2020) |Ext. |
Reported Trait: Type 1 diabetes (3 years horizon time; landmark age 2 years) | — | AUROC: 0.94 | — | autoantibodies, family history | — |
| PPM000750 | PGS000024 (GRS2) |
PSS000368| Ancestry Not Reported| 7,798 individuals |
PGP000091 | Ferrat LA et al. Nat Med (2020) |Ext. |
Reported Trait: Type 1 diabetes (by age 8; landmark age 2 years) | — | AUROC: 0.73 [0.7, 0.77] | — | — | — |
| PPM002249 | PGS000024 (GRS2) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |Ext. |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.0 [0.93, 1.07] | — | — | PC1-10 | 8 proxy variants were used to evaluate this score |
| PPM002250 | PGS000024 (GRS2) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |Ext. |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.0 [0.93, 1.07] | — | — | PC1-10 | 8 proxy variants were used to evaluate this score |
| PPM002251 | PGS000024 (GRS2) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |Ext. |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.01 [0.95, 1.08] | — | — | PC1-10 | 8 proxy variants were used to evaluate this score |
| PPM002252 | PGS000024 (GRS2) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |Ext. |
Reported Trait: Moderate Age-Related Diabetes | OR: 0.99 [0.94, 1.04] | — | — | PC1-10 | 8 proxy variants were used to evaluate this score |
| PPM002248 | PGS000024 (GRS2) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |Ext. |
Reported Trait: Severe Autoimmune Diabetes | OR: 2.55 [2.28, 2.86] | — | — | PC1-10 | 8 proxy variants were used to evaluate this score |
| PPM014801 | PGS000024 (GRS2) |
PSS009895| European Ancestry| 1,168 individuals |
PGP000338 | Oram RA et al. Diabetes Care (2022) |Ext. |
Reported Trait: Diabetes autoantibody positive insulin sensitive | — | AUROC: 0.864 [0.823, 0.905] | — | — | — |
| PPM014803 | PGS000024 (GRS2) |
PSS009893| African Ancestry| 366 individuals |
PGP000338 | Oram RA et al. Diabetes Care (2022) |Ext. |
Reported Trait: Diabetes autoantibody positive insulin sensitive | — | AUROC: 0.851 [0.805, 0.897] | — | — | — |
| PPM014805 | PGS000024 (GRS2) |
PSS009894| Hispanic or Latin American Ancestry| 412 individuals |
PGP000338 | Oram RA et al. Diabetes Care (2022) |Ext. |
Reported Trait: Diabetes autoantibody positive insulin sensitive | — | AUROC: 0.935 [0.906, 0.964] | — | — | — |
| PPM014807 | PGS000024 (GRS2) |
PSS009896| Ancestry Not Reported| 99 individuals |
PGP000338 | Oram RA et al. Diabetes Care (2022) |Ext. |
Reported Trait: Diabetes autoantibody positive insulin sensitive | — | AUROC: 0.79 [0.679, 0.902] | — | — | — |
| PPM018532 | PGS000024 (GRS2) |
PSS011012| Multi-ancestry (including European)| 39,820 individuals |
PGP000477 | Deutsch AJ et al. Diabetes Care (2023) |Ext. |
Reported Trait: Type 1 diabetes | — | AUROC: 0.875 | — | — | — |
| PPM018533 | PGS000024 (GRS2) |
PSS011009| Multi-ancestry (including European)| 57,643 individuals |
PGP000477 | Deutsch AJ et al. Diabetes Care (2023) |Ext. |
Reported Trait: Type 1 diabetes | — | AUROC: 0.822 | — | — | — |
| PPM018534 | PGS000024 (GRS2) |
PSS011014| European Ancestry| 34,939 individuals |
PGP000477 | Deutsch AJ et al. Diabetes Care (2023) |Ext. |
Reported Trait: Type 1 diabetes | — | AUROC: 0.888 | — | — | — |
| PPM018535 | PGS000024 (GRS2) |
PSS011014| European Ancestry| 34,939 individuals |
PGP000477 | Deutsch AJ et al. Diabetes Care (2023) |Ext. |
Reported Trait: Type 1 diabetes | — | AUROC: 0.858 | — | — | — |
| PPM018538 | PGS000024 (GRS2) |
PSS011011| European Ancestry| 16,663 individuals |
PGP000477 | Deutsch AJ et al. Diabetes Care (2023) |Ext. |
Reported Trait: Type 1 diabetes | — | — | PPV (+PRS): 100.0 % PPV (reference): 86.0 % |
eMERGE type 1 diabetes algorithm | — |
| PPM018540 | PGS000024 (GRS2) |
PSS011010| Multi-ancestry (excluding European)| 40,980 individuals |
PGP000477 | Deutsch AJ et al. Diabetes Care (2023) |Ext. |
Reported Trait: Type 1 diabetes | — | — | PPV (+PRS): 93.0 % PPV (reference): 71.0 % |
eMERGE type 1 diabetes algorithm | — |
| PPM018542 | PGS000024 (GRS2) |
PSS011014| European Ancestry| 34,939 individuals |
PGP000477 | Deutsch AJ et al. Diabetes Care (2023) |Ext. |
Reported Trait: Type 1 diabetes | — | — | PPV (+PRS): 97.0 % PPV (reference): 71.0 % |
eMERGE type 1 diabetes algorithm | — |
| PPM020098 | PGS000024 (GRS2) |
PSS011295| Ancestry Not Reported| 1,798 individuals |
PGP000519 | Thomas NJ et al. Diabetes Care (2023) |Ext. |
Reported Trait: Type 1 diabetes vs autoantibody negative T2D | — | — | p-value (inferior to): 0.0001 | — | — |
| PPM021124 | PGS000024 (GRS2) |
PSS011531| European Ancestry| 9,465 individuals |
PGP000614 | Qu HQ et al. Diabetes Obes Metab (2021) |Ext. |
Reported Trait: Type 1 diabetes | β: -0.22 | AUROC: 0.87 | — | — | — |
| PPM021125 | PGS000024 (GRS2) |
PSS011532| European Ancestry| 9,450 individuals |
PGP000614 | Qu HQ et al. Diabetes Obes Metab (2021) |Ext. |
Reported Trait: Type 1 diabetes | β: -0.234 | AUROC: 0.862 | — | — | — |
| PPM000062 | PGS000031 (GRSt) |
PSS000044| European Ancestry| 3,471 individuals |
PGP000020 | Vassy JL et al. Diabetes (2014) |
Reported Trait: Incident type 2 diabetes cases | HR: 1.06 [1.04, 1.08] | C-index: 0.906 [0.892, 0.92] | — | age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels | Results from the "Clinical model" |
| PPM000063 | PGS000031 (GRSt) |
PSS000043| European Ancestry| 1,650 individuals |
PGP000020 | Vassy JL et al. Diabetes (2014) |
Reported Trait: Incident type 2 diabetes cases | HR: 1.06 [1.02, 1.1] | C-index: 0.853 [0.81, 0.896] | — | age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels | Results from the "Clinical model" |
| PPM000064 | PGS000031 (GRSt) |
PSS000042| African Ancestry| 820 individuals |
PGP000020 | Vassy JL et al. Diabetes (2014) |
Reported Trait: Incident type 2 diabetes cases | HR: 1.05 [1.0, 1.09] | C-index: 0.771 [0.727, 0.814] | — | age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels | Results from the "Clinical model", SNPs were not weighted by their effect size as the betas were measure in Europeans |
| PPM000065 | PGS000032 (GRSB) |
PSS000044| European Ancestry| 3,471 individuals |
PGP000020 | Vassy JL et al. Diabetes (2014) |
Reported Trait: Incident type 2 diabetes cases | HR: 1.1 [1.06, 1.14] | — | — | age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels | Results from the "Clinical model" |
| PPM000066 | PGS000032 (GRSB) |
PSS000043| European Ancestry| 1,650 individuals |
PGP000020 | Vassy JL et al. Diabetes (2014) |
Reported Trait: Incident type 2 diabetes cases | HR: 1.09 [1.02, 1.17] | — | — | age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels | Results from the "Clinical model" |
| PPM000067 | PGS000032 (GRSB) |
PSS000042| African Ancestry| 820 individuals |
PGP000020 | Vassy JL et al. Diabetes (2014) |
Reported Trait: Incident type 2 diabetes cases | HR: 1.06 [0.99, 1.15] | — | — | age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels | Results from the "Clinical model", SNPs were not weighted by their effect size as the betas were measure in Europeans |
| PPM002415 | PGS000032 (GRSB) |
PSS001092| Ancestry Not Reported| 5,740 individuals |
PGP000214 | Aksit MA et al. J Clin Endocrinol Metab (2020) |Ext. |
Reported Trait: Cystic-fibrosis related diabetes onset | HR: 1.192 | — | — | PCs(1-4), site of recruitment | — |
| PPM000068 | PGS000033 (GRSIR) |
PSS000044| European Ancestry| 3,471 individuals |
PGP000020 | Vassy JL et al. Diabetes (2014) |
Reported Trait: Incident type 2 diabetes cases | HR: 0.98 [0.93, 1.04] | — | — | age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels | Results from the "Clinical model" |
| PPM000069 | PGS000033 (GRSIR) |
PSS000043| European Ancestry| 1,650 individuals |
PGP000020 | Vassy JL et al. Diabetes (2014) |
Reported Trait: Incident type 2 diabetes cases | HR: 1.01 [0.91, 1.12] | — | — | age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels | Results from the "Clinical model" |
| PPM000070 | PGS000033 (GRSIR) |
PSS000042| African Ancestry| 820 individuals |
PGP000020 | Vassy JL et al. Diabetes (2014) |
Reported Trait: Incident type 2 diabetes cases | HR: 1.06 [0.99, 1.15] | — | — | age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels | Results from the "Clinical model", SNPs were not weighted by their effect size as the betas were measure in Europeans |
| PPM000080 | PGS000036 (gePS_T2D) |
PSS000054| European Ancestry| 324,870 individuals |
PGP000024 | Udler MS et al. Endocr Rev (2019) |Ext. |
Reported Trait: Type 2 diabetes | — | AUROC: 0.66 | — | genotyping array, first 6 PCs of ancestry | — |
| PPM000081 | PGS000036 (gePS_T2D) |
PSS000054| European Ancestry| 324,870 individuals |
PGP000024 | Udler MS et al. Endocr Rev (2019) |Ext. |
Reported Trait: Type 2 diabetes | — | AUROC: 0.73 | — | age, sex, genotyping array, first 6 PCs of ancestry | — |
| PPM014802 | PGS000036 (gePS_T2D) |
PSS009895| European Ancestry| 1,168 individuals |
PGP000338 | Oram RA et al. Diabetes Care (2022) |Ext. |
Reported Trait: Diabetes autoantibody positive insulin sensitive | — | AUROC: 0.661 [0.606, 0.716] | — | — | — |
| PPM014804 | PGS000036 (gePS_T2D) |
PSS009893| African Ancestry| 366 individuals |
PGP000338 | Oram RA et al. Diabetes Care (2022) |Ext. |
Reported Trait: Diabetes autoantibody positive insulin sensitive | — | AUROC: 0.574 [0.506, 0.643] | — | — | — |
| PPM014806 | PGS000036 (gePS_T2D) |
PSS009894| Hispanic or Latin American Ancestry| 412 individuals |
PGP000338 | Oram RA et al. Diabetes Care (2022) |Ext. |
Reported Trait: Diabetes autoantibody positive insulin sensitive | — | AUROC: 0.722 [0.667, 0.778] | — | — | — |
| PPM014808 | PGS000036 (gePS_T2D) |
PSS009896| Ancestry Not Reported| 99 individuals |
PGP000338 | Oram RA et al. Diabetes Care (2022) |Ext. |
Reported Trait: Diabetes autoantibody positive insulin sensitive | — | AUROC: 0.677 [0.532, 0.822] | — | — | — |
| PPM000093 | PGS000040 (GRS_CeD) |
PSS000059| European Ancestry| 2,476 individuals |
PGP000028 | Abraham G et al. PLoS Genet (2014) |
Reported Trait: Coeliac disease | — | AUROC: 0.9 | — | — | — |
| PPM000094 | PGS000040 (GRS_CeD) |
PSS000061| European Ancestry| 1,040 individuals |
PGP000028 | Abraham G et al. PLoS Genet (2014) |
Reported Trait: Coeliac disease | — | AUROC: 0.87 | — | — | — |
| PPM000095 | PGS000040 (GRS_CeD) |
PSS000062| European Ancestry| 1,649 individuals |
PGP000028 | Abraham G et al. PLoS Genet (2014) |
Reported Trait: Coeliac disease | — | AUROC: 0.86 | — | — | — |
| PPM000096 | PGS000040 (GRS_CeD) |
PSS000063| European Ancestry| 2,200 individuals |
PGP000028 | Abraham G et al. PLoS Genet (2014) |
Reported Trait: Coeliac disease | — | AUROC: 0.87 | — | — | — |
| PPM000097 | PGS000040 (GRS_CeD) |
PSS000060| European Ancestry| 10,304 individuals |
PGP000028 | Abraham G et al. PLoS Genet (2014) |
Reported Trait: Coeliac disease | — | AUROC: 0.87 | — | — | — |
| PPM000098 | PGS000040 (GRS_CeD) |
PSS000064| European Ancestry| 1,696 individuals |
PGP000029 | Abraham G et al. Genome Med (2015) |Ext. |
Reported Trait: Coeliac disease | — | AUROC: 0.831 [0.808, 0.85] | — | — | — |
| PPM000099 | PGS000040 (GRS_CeD) |
PSS000065| European Ancestry| 1,237 individuals |
PGP000029 | Abraham G et al. Genome Med (2015) |Ext. |
Reported Trait: Coeliac disease in HLA-DQ2.5 carriers | — | AUROC: 0.669 [0.625, 0.713] | — | — | — |
| PPM000100 | PGS000041 (GRS-DQ2.5-CeD) |
PSS000065| European Ancestry| 1,237 individuals |
PGP000029 | Abraham G et al. Genome Med (2015) |
Reported Trait: Coeliac disease in HLA-DQ2.5 carriers | — | AUROC: 0.718 [0.676, 0.761] | — | — | — |
| PPM000101 | PGS000042 (GRS-DQ2.5-CeD-imputed) |
PSS000065| European Ancestry| 1,237 individuals |
PGP000029 | Abraham G et al. Genome Med (2015) |
Reported Trait: Coeliac disease in HLA-DQ2.5 carriers | — | AUROC: 0.73 [0.687, 0.772] | — | — | — |
| PPM000139 | PGS000055 (PRS_CRC) |
PSS000087| European Ancestry| 61,335 individuals |
PGP000040 | Schmit SL et al. J Natl Cancer Inst (2019) |
Reported Trait: Colorectal cancer | — | — | Familial relative risk explained (%): 11.9 [9.2, 15.5] PRS percentile threshold for Odds Ratio > 2: 95.7 |
age, sex, PCs, PC*study | — |
| PPM000140 | PGS000055 (PRS_CRC) |
PSS000086| East Asian Ancestry| 21,630 individuals |
PGP000040 | Schmit SL et al. J Natl Cancer Inst (2019) |
Reported Trait: Colorectal cancer | — | — | PRS percentile threshold for Odds Ratio > 2: 99.1 | age, sex, PCs, PC*study | — |
| PPM018698 | PGS000055 (PRS_CRC) |
PSS011070| East Asian Ancestry| 332 individuals |
PGP000494 | Ho PJ et al. Elife (2023) |Ext. |
Reported Trait: Colorectal cancer | — | AUROC: 0.65 [0.62, 0.69] | Hazard ratio (HR, high vs low tertile): 2.27 [1.6, 3.21] | age at recruitment | — |
| PPM000194 | PGS000074 (CC_Colorectal) |
PSS000113| European Ancestry| 416,249 individuals |
PGP000050 | Graff RE et al. Nat Commun (2021) |
Reported Trait: Colorectal cancer | OR: 1.37 [1.33, 1.4] | — | — | Genotyping reagent kit (GERA cohort only), genotyping array (UK Biobank only), age, sex, 10 PCs. | Results from meta-analysis of GERA and UKB |
| PPM002040 | PGS000074 (CC_Colorectal) |
PSS001013| European Ancestry| 393,723 individuals |
PGP000186 | Kachuri L et al. Nat Commun (2020) |Ext. |
Reported Trait: Incident colorectal cancer | HR: 1.32 [1.27, 1.37] | AUROC: 0.704 C-index: 0.704 (0.006) |
— | Age at assessment, sex, family history of bowel cancer, genotyping array, PCs(1-15), wasit to hip ratio, cigarette pack years, frequency of processed meat intake (<1 per week vs. ≥1 per week), moderate and/or strenuous physical activity (days per week), alcohol intake | C-index calculated as a weighted average between 1 and 5 years and AUC at 5 years. |
| PPM017164 | PGS000074 (CC_Colorectal) |
PSS010144| European Ancestry| 2,150 individuals |
PGP000443 | Byrne S et al. Int J Epidemiol (2023) |Ext. |
Reported Trait: Colorectal cancer | HR: 1.36 [1.31, 1.42] | — | — | age at baseline, sex (where relevant), assessment centre, 40 principal components of ancestries (PCs), Townsend Index, education, birth location, income, lifestyle index, additional cancer-specific covariates | — |
| PPM000201 | PGS000081 (CC_Oral) |
PSS000120| European Ancestry| 411,577 individuals |
PGP000050 | Graff RE et al. Nat Commun (2021) |
Reported Trait: Oral cavity and pharyngeal cancers | OR: 1.08 [1.02, 1.14] | — | — | Genotyping reagent kit (GERA cohort only), genotyping array (UK Biobank only), age, sex, 10 PCs. | Results from meta-analysis of GERA and UKB |
| PPM002047 | PGS000081 (CC_Oral) |
PSS001020| European Ancestry| 391,479 individuals |
PGP000186 | Kachuri L et al. Nat Commun (2020) |Ext. |
Reported Trait: Incident oral cavity and pharyngeal cancer | HR: 1.11 [1.01, 1.21] | AUROC: 0.702 C-index: 0.686 (0.015) |
— | Age at assessment, sex, genotyping array, PCs(1-15), weekly alcohol intake, cigarettes per day, years of smoking, smoing status (never vs. former vs. current) | C-index calculated as a weighted average between 1 and 5 years and AUC at 5 years. |
| PPM017173 | PGS000081 (CC_Oral) |
PSS010150| European Ancestry| 415 individuals |
PGP000443 | Byrne S et al. Int J Epidemiol (2023) |Ext. |
Reported Trait: Oral cavity and pharyngeal cancers | HR: 1.03 [0.94, 1.14] | — | — | age at baseline, sex (where relevant), assessment centre, 40 principal components of ancestries (PCs), Townsend Index, education, birth location, income, lifestyle index, additional cancer-specific covariates | — |
| PPM000203 | PGS000083 (CC_Pancreas) |
PSS000122| European Ancestry| 411,019 individuals |
PGP000050 | Graff RE et al. Nat Commun (2021) |
Reported Trait: Pancreatic cancer | OR: 1.44 [1.33, 1.55] | — | — | Genotyping reagent kit (GERA cohort only), genotyping array (UK Biobank only), age, sex, 10 PCs. | Results from meta-analysis of GERA and UKB |
| PPM002049 | PGS000083 (CC_Pancreas) |
PSS001022| European Ancestry| 391,491 individuals |
PGP000186 | Kachuri L et al. Nat Commun (2020) |Ext. |
Reported Trait: Incident pancreatic cancer | HR: 1.49 [1.36, 1.62] | AUROC: 0.745 C-index: 0.742 (0.012) |
— | Age at assessment, sex, genotyping array, PCs(1-15), family history of cancer (prostate, breast, lung, bowel), body mass index, cigarette pack-years, smoking status (never vs. former vs. current) | C-index calculated as a weighted average between 1 and 5 years and AUC at 5 years. |
| PPM017171 | PGS000083 (CC_Pancreas) |
PSS010154| European Ancestry| 451 individuals |
PGP000443 | Byrne S et al. Int J Epidemiol (2023) |Ext. |
Reported Trait: Pancreatic cancer | HR: 1.51 [1.38, 1.66] | — | — | age at baseline, sex (where relevant), assessment centre, 40 principal components of ancestries (PCs), Townsend Index, education, birth location, income, lifestyle index, additional cancer-specific covariates | — |
| PPM000404 | PGS000125 (Qi_T2D_2017) |
PSS000232| Hispanic or Latin American Ancestry| 7,746 individuals |
PGP000062 | Qi Q et al. Diabetes (2017) |
Reported Trait: Type 2 Diabetes | — | — | OR (Odds Ratio, per risk allele): 1.07 [1.06, 1.08] | center, age, sex, 5 PCs of ancestry | Covariance matrices corresponding to genetic relatedness (kinship), household, and census block group were included as random effects in the mixed model analysis |
| PPM000439 | PGS000146 (CRC_GRS_27) |
PSS000252| European Ancestry| 3,269 individuals |
PGP000069 | Hsu L et al. Gastroenterology (2015) |
Reported Trait: Distal colon cancer | OR: 1.08 [1.06, 1.11] | — | — | Study, age, endoscopy, family history | — |
| PPM000438 | PGS000146 (CRC_GRS_27) |
PSS000254| European Ancestry| 3,292 individuals |
PGP000069 | Hsu L et al. Gastroenterology (2015) |
Reported Trait: Proximal colon cancer | OR: 1.07 [1.04, 1.1] | — | — | Study, age, endoscopy, family history | — |
| PPM000445 | PGS000146 (CRC_GRS_27) |
PSS000257| European Ancestry| 733 individuals |
PGP000069 | Hsu L et al. Gastroenterology (2015) |
Reported Trait: Colorectal cancer | — | AUROC: 0.56 [0.51, 0.61] | — | Age, endoscopy, family history | — |
| PPM000444 | PGS000146 (CRC_GRS_27) |
PSS000258| European Ancestry| 1,002 individuals |
PGP000069 | Hsu L et al. Gastroenterology (2015) |
Reported Trait: Colorectal cancer | — | AUROC: 0.59 [0.54, 0.64] | — | Age, endoscopy, family history | — |
| PPM000443 | PGS000146 (CRC_GRS_27) |
PSS000255| European Ancestry| 4,573 individuals |
PGP000069 | Hsu L et al. Gastroenterology (2015) |
Reported Trait: Rectal cancer | OR: 1.12 [1.08, 1.15] | — | — | Study, age, endoscopy, family history | — |
| PPM000442 | PGS000146 (CRC_GRS_27) |
PSS000251| European Ancestry| 4,886 individuals |
PGP000069 | Hsu L et al. Gastroenterology (2015) |
Reported Trait: Distal colon cancer | OR: 1.08 [1.05, 1.1] | — | — | Study, age, endoscopy, family history | — |
| PPM000441 | PGS000146 (CRC_GRS_27) |
PSS000253| European Ancestry| 5,530 individuals |
PGP000069 | Hsu L et al. Gastroenterology (2015) |
Reported Trait: Proximal colon cancer | OR: 1.06 [1.03, 1.08] | — | — | Study, age, endoscopy, family history | — |
| PPM000440 | PGS000146 (CRC_GRS_27) |
PSS000256| European Ancestry| 3,167 individuals |
PGP000069 | Hsu L et al. Gastroenterology (2015) |
Reported Trait: Rectal cancer | OR: 1.06 [1.03, 1.09] | — | — | Study, age, endoscopy, family history | — |
| PPM000448 | PGS000147 (CRC21) |
PSS000259| European Ancestry| 4,080 individuals |
PGP000070 | Ibáñez-Sanz G et al. Sci Rep (2017) |
Reported Trait: Colorectal cancer | — | AUROC: 0.63 [0.6, 0.66] | Odds Ratio (OR; per allele): 1.07 [1.04, 1.1] | environmental risk factors ( alcohol consumption, obesity, physical activity, red meat and vegetable consumption, nonsteroidal anti-inflammatory drug use), family history | — |
| PPM000447 | PGS000147 (CRC21) |
PSS000259| European Ancestry| 4,080 individuals |
PGP000070 | Ibáñez-Sanz G et al. Sci Rep (2017) |
Reported Trait: Rectal cancer | — | — | Odds Ratio (OR; per allele): 1.1 [1.06, 1.15] | environmental risk factors ( alcohol consumption, obesity, physical activity, red meat and vegetable consumption, nonsteroidal anti-inflammatory drug use), family history | — |
| PPM000446 | PGS000147 (CRC21) |
PSS000259| European Ancestry| 4,080 individuals |
PGP000070 | Ibáñez-Sanz G et al. Sci Rep (2017) |
Reported Trait: Colon cancer | — | — | Odds Ratio (OR; per allele): 1.06 [1.03, 1.09] | environmental risk factors ( alcohol consumption, obesity, physical activity, red meat and vegetable consumption, nonsteroidal anti-inflammatory drug use), family history | — |
| PPM000449 | PGS000147 (CRC21) |
PSS000259| European Ancestry| 4,080 individuals |
PGP000070 | Ibáñez-Sanz G et al. Sci Rep (2017) |
Reported Trait: Colorectal cancer | — | AUROC: 0.56 [0.54, 0.58] | — | — | — |
| PPM000452 | PGS000148 (CRC63) |
PSS000260| European Ancestry| 5,500 individuals |
PGP000071 | Jeon J et al. Gastroenterology (2018) |
Reported Trait: Colorectal cancer | — | AUROC: 0.59 [0.58, 0.6] | — | age, family history, study, endoscopy history | Risk prediction using Model III (Family History & G-score) |
| PPM000451 | PGS000148 (CRC63) |
PSS000261| European Ancestry| 4,666 individuals |
PGP000071 | Jeon J et al. Gastroenterology (2018) |
Reported Trait: Colorectal cancer | — | AUROC: 0.63 [0.62, 0.64] | — | age, family history, study, endoscopy history, E-score (height, body mass index, education, history of type 2 diabetes mellitus, smoking status, alcohol consumption, regular aspirin use, regular NSAIDs use, smoking pack-years, dietary factors, total-energy, physical activity) | Risk prediction using Model IV (Family history & E-score & G-score) |
| PPM000450 | PGS000148 (CRC63) |
PSS000261| European Ancestry| 4,666 individuals |
PGP000071 | Jeon J et al. Gastroenterology (2018) |
Reported Trait: Colorectal cancer | — | AUROC: 0.59 [0.58, 0.6] | — | age, family history, study, endoscopy history | Risk prediction using Model III (Family History & G-score) |
| PPM000453 | PGS000148 (CRC63) |
PSS000260| European Ancestry| 5,500 individuals |
PGP000071 | Jeon J et al. Gastroenterology (2018) |
Reported Trait: Colorectal cancer | — | AUROC: 0.62 [0.61, 0.63] | — | age, family history, study, endoscopy history, E-score (height, body mass index, education, history of type 2 diabetes mellitus, smoking status, alcohol consumption, regular aspirin use, regular NSAIDs use, regular use of post-menopausal hormones, smoking pack-years, dietary factors, total-energy, physical activity) | Risk prediction using Model IV (Family history & E-score & G-score) |
| PPM000464 | PGS000149 (CRC41) |
PSS000263| European Ancestry| 286,877 individuals |
PGP000072 | Smith T et al. Br J Cancer (2018) |
Reported Trait: Incident colorectal cancer in individuals with a family history | — | C-index: 0.68 [0.67, 0.7] | — | Wells et al. model (age, diabetes, multi-vitamin usage, family history of colon cancer, years of education, body mass index, alcohol intake, physical activity, non-steroidal anti-inflammatory drug usage, red meat intake, smoking and oestrogen use [women only]) | Fully recalibrated model |
| PPM000463 | PGS000149 (CRC41) |
PSS000263| European Ancestry| 286,877 individuals |
PGP000072 | Smith T et al. Br J Cancer (2018) |
Reported Trait: Incident colorectal cancer | — | C-index: 0.68 [0.67, 0.7] | — | Wells et al. model (age, diabetes, multi-vitamin usage, family history of colon cancer, years of education, body mass index, alcohol intake, physical activity, non-steroidal anti-inflammatory drug usage, red meat intake, smoking and oestrogen use [women only]) | Fully recalibrated model |
| PPM000459 | PGS000149 (CRC41) |
PSS000262| European Ancestry| 361,543 individuals |
PGP000072 | Smith T et al. Br J Cancer (2018) |
Reported Trait: Incident colorectal cancer in individuals without a family history | — | C-index: 0.66 [0.62, 0.69] | — | Taylor et al. model (age-specific rates of CRC with estimated relative risks for different degrees of CRC family history) | Fully recalibrated model |
| PPM000458 | PGS000149 (CRC41) |
PSS000262| European Ancestry| 361,543 individuals |
PGP000072 | Smith T et al. Br J Cancer (2018) |
Reported Trait: Incident colorectal cancer in individuals with a family history | — | C-index: 0.69 [0.67, 0.7] | — | Taylor et al. model (age-specific rates of CRC with estimated relative risks for different degrees of CRC family history) | Fully recalibrated model |
| PPM000457 | PGS000149 (CRC41) |
PSS000262| European Ancestry| 361,543 individuals |
PGP000072 | Smith T et al. Br J Cancer (2018) |
Reported Trait: Incident colorectal cancer | — | C-index: 0.68 [0.67, 0.7] | — | Taylor et al. model (age-specific rates of CRC with estimated relative risks for different degrees of CRC family history) | Fully recalibrated model |
| PPM000465 | PGS000149 (CRC41) |
PSS000263| European Ancestry| 286,877 individuals |
PGP000072 | Smith T et al. Br J Cancer (2018) |
Reported Trait: Incident colorectal cancer in individuals without a family history | — | C-index: 0.67 [0.63, 0.71] | — | Wells et al. model (age, diabetes, multi-vitamin usage, family history of colon cancer, years of education, body mass index, alcohol intake, physical activity, non-steroidal anti-inflammatory drug usage, red meat intake, smoking and oestrogen use [women only]) | Fully recalibrated model |
| PPM000462 | PGS000149 (CRC41) |
PSS000263| European Ancestry| 286,877 individuals |
PGP000072 | Smith T et al. Br J Cancer (2018) |
Reported Trait: Incident colorectal cancer in individuals without a family history | — | C-index: 0.57 [0.53, 0.6] | — | — | — |
| PPM000461 | PGS000149 (CRC41) |
PSS000263| European Ancestry| 286,877 individuals |
PGP000072 | Smith T et al. Br J Cancer (2018) |
Reported Trait: Incident colorectal cancer in individuals with a family history | — | C-index: 0.56 [0.55, 0.58] | — | — | — |
| PPM000460 | PGS000149 (CRC41) |
PSS000263| European Ancestry| 286,877 individuals |
PGP000072 | Smith T et al. Br J Cancer (2018) |
Reported Trait: Incident colorectal cancer | — | C-index: 0.57 [0.55, 0.58] | — | — | — |
| PPM000456 | PGS000149 (CRC41) |
PSS000262| European Ancestry| 361,543 individuals |
PGP000072 | Smith T et al. Br J Cancer (2018) |
Reported Trait: Incident colorectal cancer in individuals without a family history | — | C-index: 0.55 [0.52, 0.59] | — | — | — |
| PPM000455 | PGS000149 (CRC41) |
PSS000262| European Ancestry| 361,543 individuals |
PGP000072 | Smith T et al. Br J Cancer (2018) |
Reported Trait: Incident colorectal cancer in individuals with a family history | — | C-index: 0.57 [0.55, 0.58] | — | — | — |
| PPM000454 | PGS000149 (CRC41) |
PSS000262| European Ancestry| 361,543 individuals |
PGP000072 | Smith T et al. Br J Cancer (2018) |
Reported Trait: Incident colorectal cancer | — | C-index: 0.56 [0.55, 0.58] | — | — | — |
| PPM000469 | PGS000150 (GRS48) |
PSS000269| European Ancestry| 749 individuals |
PGP000073 | Weigl K et al. Gastroenterology (2018) |
Reported Trait: advanced neoplasm (colorectal cancer) | — | C-index: 0.615 | Odds Ratio (OR; highest vs. lowest tertile of GRS): 2.74 [1.84, 4.09] | sex, age, previous colonoscopy, physical activity | — |
| PPM000468 | PGS000150 (GRS48) |
PSS000269| European Ancestry| 749 individuals |
PGP000073 | Weigl K et al. Gastroenterology (2018) |
Reported Trait: advanced neoplasm (colorectal cancer) | — | C-index: 0.599 | Odds Ratio (OR; highest vs. lowest tertile of GRS): 2.64 [1.77, 3.92] | sex, age | — |
| PPM000467 | PGS000150 (GRS48) |
PSS000268| European Ancestry| 1,043 individuals |
PGP000073 | Weigl K et al. Gastroenterology (2018) |
Reported Trait: non-advanced adenoma (colorectal) | — | C-index: 0.596 | Odds Ratio (OR; highest vs. lowest tertile of GRS): 1.05 [0.7, 1.55] | sex, age, previous colonoscopy, physical activity | — |
| PPM000466 | PGS000150 (GRS48) |
PSS000268| European Ancestry| 1,043 individuals |
PGP000073 | Weigl K et al. Gastroenterology (2018) |
Reported Trait: non-advanced adenoma (colorectal) | — | C-index: 0.584 | Odds Ratio (OR; highest vs. lowest tertile of GRS): 1.04 [0.7, 1.55] | sex, age | — |
| PPM000471 | PGS000151 (SC_GRS) |
PSS000271| East Asian Ancestry| 3,523 individuals |
PGP000074 | Xin J et al. Gene (2018) |
Reported Trait: Colorectal cancer | — | AUROC: 0.607 [0.581, 0.633] | — | smoking status | — |
| PPM000470 | PGS000151 (SC_GRS) |
PSS000271| East Asian Ancestry| 3,523 individuals |
PGP000074 | Xin J et al. Gene (2018) |
Reported Trait: Colorectal cancer | — | AUROC: 0.6 [0.579, 0.622] | — | — | — |
| PPM000474 | PGS000154 (cGRS_Colorectal) |
PSS000274| European Ancestry| 13,814 individuals |
PGP000075 | Shi Z et al. Cancer Med (2019) |
Reported Trait: Colorectal cancer | — | — | Mean realative risk: 1.08 [1.04, 1.12] Wilcoxon test (case vs. control) p-value: 8.29e-06 |
— | — |
| PPM000485 | PGS000154 (cGRS_Colorectal) |
PSS000274| European Ancestry| 13,814 individuals |
PGP000075 | Shi Z et al. Cancer Med (2019) |
Reported Trait: Colorectal cancer | — | — | Odds Ratio (OR; high vs. average risk groups): 1.18 [0.87, 1.61] | — | — |
| PPM000490 | PGS000159 (cGRS_Pancreatic) |
PSS000279| European Ancestry| 13,590 individuals |
PGP000075 | Shi Z et al. Cancer Med (2019) |
Reported Trait: Pancreatic cancer | — | — | Odds Ratio (OR; high vs. average risk groups): 1.67 [1.1, 2.53] | — | — |
| PPM000479 | PGS000159 (cGRS_Pancreatic) |
PSS000279| European Ancestry| 13,590 individuals |
PGP000075 | Shi Z et al. Cancer Med (2019) |
Reported Trait: Pancreatic cancer | — | — | Mean realative risk: 1.13 [1.07, 1.18] Wilcoxon test (case vs. control) p-value: 0.00015 |
— | — |
| PPM000805 | PGS000316 (GRS42_Coeliac) |
PSS000381| Ancestry Not Reported| 154 individuals |
PGP000093 | Sharp SA et al. Aliment Pharmacol Ther (2020) |
Reported Trait: Coeliac disease | — | AUROC: 0.835 [0.76, 0.911] | — | — | — |
| PPM000804 | PGS000316 (GRS42_Coeliac) |
PSS000382| European Ancestry| 379,767 individuals |
PGP000093 | Sharp SA et al. Aliment Pharmacol Ther (2020) |
Reported Trait: Coeliac disease | — | AUROC: 0.879 [0.87, 0.888] | — | — | — |
| PPM000897 | PGS000330 (PRS_T2D) |
PSS000441| European Ancestry| 21,030 individuals |
PGP000100 | Mars N et al. Nat Med (2020) |
Reported Trait: Incident type 2 diabetes | — | C-index: 0.845 | — | age, sex, BMI, history of stroke or CHD, parental history of diabetes, SBP, DBP, HDL, triglycerides, FINRISK cohort, genotyping array/batch, 10 ancestry PCs | 10-year risk |
| PPM000892 | PGS000330 (PRS_T2D) |
PSS000441| European Ancestry| 21,030 individuals |
PGP000100 | Mars N et al. Nat Med (2020) |
Reported Trait: Incident type 2 diabetes | HR: 1.7 [1.63, 1.78] | C-index: 0.763 | — | age, sex, FINRISK cohort, genotyping array/batch, 10 ancestry PCs | 10-year risk |
| PPM000887 | PGS000330 (PRS_T2D) |
PSS000448| European Ancestry| 135,300 individuals |
PGP000100 | Mars N et al. Nat Med (2020) |
Reported Trait: Type 2 diabetes (incident and prevalent cases) | HR: 1.74 [1.72, 1.77] | — | — | genotyping array/batch, 10 ancestry PCs, stratified by sex | — |
| PPM001042 | PGS000357 (PRSWEB_PHECODE145_C3-LIP-ORAL-PHARYNX_PT_MGI_20200608) |
PSS000535| European Ancestry| 6,328 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Cancer of mouth | OR: 1.111 [1.021, 1.208] β: 0.105 (0.0427) |
AUROC: 0.519 [0.498, 0.542] | Nagelkerke's Pseudo-R²: 0.0021 Brier score: 0.0829 Odds Ratio (OR, top 1% vs. Rest): 1.26 [0.585, 2.73] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE145_C3-LIP-ORAL-PHARYNX_PT_MGI_20200608 |
| PPM001043 | PGS000358 (PRSWEB_PHECODE145_UKBB-SAIGE-HRC-X145_PRS-CS_MGI_20200608) |
PSS000535| European Ancestry| 6,328 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Cancer of mouth | OR: 1.116 [1.024, 1.216] β: 0.11 (0.0438) |
AUROC: 0.528 [0.502, 0.552] | Nagelkerke's Pseudo-R²: 0.00207 Brier score: 0.0829 Odds Ratio (OR, top 1% vs. Rest): 1.63 [0.812, 3.26] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE145_UKBB-SAIGE-HRC-X145_PRS-CS_MGI_20200608 |
| PPM001044 | PGS000359 (PRSWEB_PHECODE145.2_C3-TONGUENAS_PRS-CS_MGI_20200608) |
PSS000534| European Ancestry| 2,841 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Cancer of tongue | OR: 1.142 [1.006, 1.297] β: 0.133 (0.0647) |
AUROC: 0.538 [0.501, 0.575] | Nagelkerke's Pseudo-R²: 0.00325 Brier score: 0.0827 Odds Ratio (OR, top 1% vs. Rest): 1.69 [0.61, 4.71] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE145.2_C3-TONGUENAS_PRS-CS_MGI_20200608 |
| PPM001048 | PGS000363 (PRSWEB_PHECODE150_C15_PRS-CS_MGI_20200608) |
PSS000537| European Ancestry| 2,064 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Cancer of esophagus | OR: 1.249 [1.075, 1.45] β: 0.222 (0.0762) |
AUROC: 0.564 [0.525, 0.604] | Nagelkerke's Pseudo-R²: 0.0089 Brier score: 0.0825 Odds Ratio (OR, top 1% vs. Rest): 2.84 [1.07, 7.54] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE150_C15_PRS-CS_MGI_20200608 |
| PPM001049 | PGS000364 (PRSWEB_PHECODE150_C15_LASSOSUM_MGI_20200608) |
PSS000537| European Ancestry| 2,064 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Cancer of esophagus | OR: 1.203 [1.041, 1.391] β: 0.185 (0.074) |
AUROC: 0.551 [0.51, 0.588] | Nagelkerke's Pseudo-R²: 0.00648 Brier score: 0.0826 Odds Ratio (OR, top 1% vs. Rest): 1.81 [0.56, 5.82] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE150_C15_LASSOSUM_MGI_20200608 |
| PPM001050 | PGS000365 (PRSWEB_PHECODE150_C3-OESOPHAGUS_PRS-CS_MGI_20200608) |
PSS000537| European Ancestry| 2,064 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Cancer of esophagus | OR: 1.187 [1.021, 1.38] β: 0.171 (0.0769) |
AUROC: 0.553 [0.514, 0.596] | Nagelkerke's Pseudo-R²: 0.00521 Brier score: 0.0826 Odds Ratio (OR, top 1% vs. Rest): 1.27 [0.329, 4.9] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE150_C3-OESOPHAGUS_PRS-CS_MGI_20200608 |
| PPM001051 | PGS000366 (PRSWEB_PHECODE150_UKBB-SAIGE-HRC-X150_PRS-CS_MGI_20200608) |
PSS000537| European Ancestry| 2,064 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Cancer of esophagus | OR: 1.24 [1.067, 1.441] β: 0.215 (0.0766) |
AUROC: 0.564 [0.522, 0.605] | Nagelkerke's Pseudo-R²: 0.00839 Brier score: 0.0825 Odds Ratio (OR, top 1% vs. Rest): 1.28 [0.332, 4.95] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE150_UKBB-SAIGE-HRC-X150_PRS-CS_MGI_20200608 |
| PPM001052 | PGS000367 (PRSWEB_PHECODE153_CRC-Huyghe_P_5e-08_MGI_20200608) |
PSS000540| European Ancestry| 6,633 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Colorectal cancer | OR: 1.198 [1.102, 1.302] β: 0.181 (0.0425) |
AUROC: 0.55 [0.522, 0.574] | Nagelkerke's Pseudo-R²: 0.00586 Brier score: 0.0828 Odds Ratio (OR, top 1% vs. Rest): 2.2 [1.21, 4.0] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE153_CRC-Huyghe_P_5e-08_MGI_20200608 |
| PPM001053 | PGS000368 (PRSWEB_PHECODE153_CRC-Huyghe_P_5e-08_UKB_20200608) |
PSS000564| European Ancestry| 24,996 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Colorectal cancer | OR: 1.516 [1.451, 1.585] β: 0.416 (0.0225) |
AUROC: 0.612 [0.6, 0.625] | Nagelkerke's Pseudo-R²: 0.0304 Brier score: 0.0813 Odds Ratio (OR, top 1% vs. Rest): 3.85 [2.99, 4.96] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE153_CRC-Huyghe_P_5e-08_UKB_20200608 |
| PPM001054 | PGS000369 (PRSWEB_PHECODE153_CRC-Huyghe_PT_MGI_20200608) |
PSS000540| European Ancestry| 6,633 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Colorectal cancer | OR: 1.214 [1.117, 1.32] β: 0.194 (0.0426) |
AUROC: 0.553 [0.525, 0.577] | Nagelkerke's Pseudo-R²: 0.00671 Brier score: 0.0828 Odds Ratio (OR, top 1% vs. Rest): 3.04 [1.79, 5.17] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE153_CRC-Huyghe_PT_MGI_20200608 |
| PPM012887 | PGS000370 (PRSWEB_PHECODE153_CRC-Huyghe_PT_UKB_20200608) |
PSS009593| Ancestry Not Reported| 9,666 individuals |
PGP000292 | Saad M et al. Lancet Oncol (2022) |Ext. |
Reported Trait: Colorectal cancer | OR: 1.543 [1.411, 1.686] | AUROC: 0.621 [0.597, 0.645] | — | — | — |
| PPM001055 | PGS000370 (PRSWEB_PHECODE153_CRC-Huyghe_PT_UKB_20200608) |
PSS000564| European Ancestry| 24,996 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Colorectal cancer | OR: 1.547 [1.48, 1.617] β: 0.436 (0.0226) |
AUROC: 0.617 [0.605, 0.63] | Nagelkerke's Pseudo-R²: 0.0332 Brier score: 0.0812 Odds Ratio (OR, top 1% vs. Rest): 4.0 [3.11, 5.13] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE153_CRC-Huyghe_PT_UKB_20200608 |
| PPM001056 | PGS000371 (PRSWEB_PHECODE153_GWAS-Catalog-r2019-05-03-X153_P_5e-08_UKB_20200608) |
PSS000564| European Ancestry| 24,996 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Colorectal cancer | OR: 1.254 [1.202, 1.309] β: 0.226 (0.0217) |
AUROC: 0.561 [0.548, 0.573] | Nagelkerke's Pseudo-R²: 0.00946 Brier score: 0.0822 Odds Ratio (OR, top 1% vs. Rest): 1.79 [1.28, 2.51] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE153_GWAS-Catalog-r2019-05-03-X153_P_5e-08_UKB_20200608 |
| PPM001057 | PGS000372 (PRSWEB_PHECODE153_GWAS-Catalog-r2019-05-03-X153_PT_UKB_20200608) |
PSS000564| European Ancestry| 24,996 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Colorectal cancer | OR: 1.279 [1.225, 1.335] β: 0.246 (0.0218) |
AUROC: 0.565 [0.551, 0.577] | Nagelkerke's Pseudo-R²: 0.0111 Brier score: 0.0822 Odds Ratio (OR, top 1% vs. Rest): 2.1 [1.53, 2.89] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE153_GWAS-Catalog-r2019-05-03-X153_PT_UKB_20200608 |
| PPM001058 | PGS000373 (PRSWEB_PHECODE153_UKBB-SAIGE-HRC-X153_PRS-CS_MGI_20200608) |
PSS000540| European Ancestry| 6,633 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Colorectal cancer | OR: 1.189 [1.093, 1.293] β: 0.173 (0.0428) |
AUROC: 0.548 [0.523, 0.572] | Nagelkerke's Pseudo-R²: 0.00529 Brier score: 0.0829 Odds Ratio (OR, top 1% vs. Rest): 1.71 [0.882, 3.33] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE153_UKBB-SAIGE-HRC-X153_PRS-CS_MGI_20200608 |
| PPM001059 | PGS000374 (PRSWEB_PHECODE153_UKBB-SAIGE-HRC-X153_PT_MGI_20200608) |
PSS000540| European Ancestry| 6,633 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Colorectal cancer | OR: 1.091 [1.004, 1.185] β: 0.0872 (0.0423) |
AUROC: 0.517 [0.493, 0.541] | Nagelkerke's Pseudo-R²: 0.00134 Brier score: 0.083 Odds Ratio (OR, top 1% vs. Rest): 1.88 [0.99, 3.55] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE153_UKBB-SAIGE-HRC-X153_PT_MGI_20200608 |
| PPM001060 | PGS000375 (PRSWEB_PHECODE153_UKBB-SAIGE-HRC-X153_LASSOSUM_MGI_20200608) |
PSS000540| European Ancestry| 6,633 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Colorectal cancer | OR: 1.113 [1.024, 1.21] β: 0.107 (0.0425) |
AUROC: 0.53 [0.503, 0.555] | Nagelkerke's Pseudo-R²: 0.00205 Brier score: 0.083 Odds Ratio (OR, top 1% vs. Rest): 2.76 [1.59, 4.81] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE153_UKBB-SAIGE-HRC-X153_LASSOSUM_MGI_20200608 |
| PPM001061 | PGS000376 (PRSWEB_PHECODE153.2_C18_PRS-CS_MGI_20200608) |
PSS000538| European Ancestry| 5,031 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Colon cancer | OR: 1.177 [1.069, 1.297] β: 0.163 (0.0491) |
AUROC: 0.547 [0.518, 0.576] | Nagelkerke's Pseudo-R²: 0.0046 Brier score: 0.0832 Odds Ratio (OR, top 1% vs. Rest): 1.65 [0.753, 3.61] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE153.2_C18_PRS-CS_MGI_20200608 |
| PPM001062 | PGS000377 (PRSWEB_PHECODE153.2_C18_LASSOSUM_MGI_20200608) |
PSS000538| European Ancestry| 5,031 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Colon cancer | OR: 1.174 [1.066, 1.292] β: 0.16 (0.049) |
AUROC: 0.545 [0.518, 0.574] | Nagelkerke's Pseudo-R²: 0.00441 Brier score: 0.0831 Odds Ratio (OR, top 1% vs. Rest): 1.4 [0.607, 3.22] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE153.2_C18_LASSOSUM_MGI_20200608 |
| PPM001063 | PGS000378 (PRSWEB_PHECODE153.2_C3-COLON_PRS-CS_MGI_20200608) |
PSS000538| European Ancestry| 5,031 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Colon cancer | OR: 1.141 [1.038, 1.254] β: 0.132 (0.0484) |
AUROC: 0.536 [0.509, 0.565] | Nagelkerke's Pseudo-R²: 0.00301 Brier score: 0.0832 Odds Ratio (OR, top 1% vs. Rest): 1.82 [0.867, 3.84] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE153.2_C3-COLON_PRS-CS_MGI_20200608 |
| PPM001064 | PGS000379 (PRSWEB_PHECODE153.2_C3-COLON_LASSOSUM_MGI_20200608) |
PSS000538| European Ancestry| 5,031 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Colon cancer | OR: 1.143 [1.038, 1.258] β: 0.134 (0.049) |
AUROC: 0.536 [0.51, 0.567] | Nagelkerke's Pseudo-R²: 0.00302 Brier score: 0.0832 Odds Ratio (OR, top 1% vs. Rest): 0.757 [0.252, 2.28] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE153.2_C3-COLON_LASSOSUM_MGI_20200608 |
| PPM001065 | PGS000380 (PRSWEB_PHECODE153.2_UKBB-SAIGE-HRC-X153.2_PRS-CS_MGI_20200608) |
PSS000538| European Ancestry| 5,031 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Colon cancer | OR: 1.324 [1.203, 1.457] β: 0.281 (0.0489) |
AUROC: 0.569 [0.539, 0.599] | Nagelkerke's Pseudo-R²: 0.0138 Brier score: 0.0827 Odds Ratio (OR, top 1% vs. Rest): 3.85 [2.19, 6.77] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE153.2_UKBB-SAIGE-HRC-X153.2_PRS-CS_MGI_20200608 |
| PPM001066 | PGS000381 (PRSWEB_PHECODE153.2_UKBB-SAIGE-HRC-X153.2_PT_MGI_20200608) |
PSS000538| European Ancestry| 5,031 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Colon cancer | OR: 1.212 [1.105, 1.33] β: 0.193 (0.0472) |
AUROC: 0.55 [0.522, 0.577] | Nagelkerke's Pseudo-R²: 0.00703 Brier score: 0.0831 Odds Ratio (OR, top 1% vs. Rest): 1.6 [0.733, 3.51] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE153.2_UKBB-SAIGE-HRC-X153.2_PT_MGI_20200608 |
| PPM001067 | PGS000382 (PRSWEB_PHECODE153.2_UKBB-SAIGE-HRC-X153.2_LASSOSUM_MGI_20200608) |
PSS000538| European Ancestry| 5,031 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Colon cancer | OR: 1.247 [1.134, 1.371] β: 0.221 (0.0483) |
AUROC: 0.567 [0.54, 0.594] | Nagelkerke's Pseudo-R²: 0.00899 Brier score: 0.083 Odds Ratio (OR, top 1% vs. Rest): 1.17 [0.477, 2.87] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE153.2_UKBB-SAIGE-HRC-X153.2_LASSOSUM_MGI_20200608 |
| PPM001068 | PGS000383 (PRSWEB_PHECODE153.3_C19_PRS-CS_MGI_20200608) |
PSS000539| European Ancestry| 3,557 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Malignant neoplasm of rectum, rectosigmoid junction, and anus | OR: 1.126 [1.005, 1.262] β: 0.119 (0.0579) |
AUROC: 0.533 [0.5, 0.567] | Nagelkerke's Pseudo-R²: 0.00257 Brier score: 0.0829 Odds Ratio (OR, top 1% vs. Rest): 1.34 [0.491, 3.65] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE153.3_C19_PRS-CS_MGI_20200608 |
| PPM001069 | PGS000384 (PRSWEB_PHECODE153.3_C3-RECTUM_PRS-CS_MGI_20200608) |
PSS000539| European Ancestry| 3,557 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Malignant neoplasm of rectum, rectosigmoid junction, and anus | OR: 1.122 [1.001, 1.257] β: 0.115 (0.058) |
AUROC: 0.531 [0.495, 0.563] | Nagelkerke's Pseudo-R²: 0.00251 Brier score: 0.0829 Odds Ratio (OR, top 1% vs. Rest): 1.02 [0.334, 3.14] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE153.3_C3-RECTUM_PRS-CS_MGI_20200608 |
| PPM001070 | PGS000385 (PRSWEB_PHECODE157_GWAS-Catalog-r2019-05-03-X157_P_5e-08_UKB_20200608) |
PSS000565| European Ancestry| 3,591 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Pancreatic cancer | OR: 1.384 [1.235, 1.552] β: 0.325 (0.0583) |
AUROC: 0.589 [0.559, 0.622] | Nagelkerke's Pseudo-R²: 0.019 Brier score: 0.082 Odds Ratio (OR, top 1% vs. Rest): 2.58 [1.19, 5.57] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE157_GWAS-Catalog-r2019-05-03-X157_P_5e-08_UKB_20200608 |
| PPM001071 | PGS000386 (PRSWEB_PHECODE157_GWAS-Catalog-r2019-05-03-X157_PT_UKB_20200608) |
PSS000565| European Ancestry| 3,591 individuals |
PGP000118 | Fritsche LG et al. Am J Hum Genet (2020) |
Reported Trait: Pancreatic cancer | OR: 1.342 [1.199, 1.503] β: 0.294 (0.0577) |
AUROC: 0.579 [0.548, 0.611] | Nagelkerke's Pseudo-R²: 0.0157 Brier score: 0.0822 Odds Ratio (OR, top 1% vs. Rest): 1.64 [0.655, 4.12] |
age, sex, batch PCs 1-4 | Cancer PRSweb PheWAS Results: PRSWEB_PHECODE157_GWAS-Catalog-r2019-05-03-X157_PT_UKB_20200608 |
| PPM001341 | PGS000655 (NAFLD-10) |
PSS000584| European Ancestry| 235 individuals |
PGP000119 | Namjou B et al. BMC Med (2019) |
Reported Trait: Nonalcoholic fatty liver disease severity (NAFLD activity score above 5) | — | AUROC: 0.724 | Odds Ratio (OR, highest vs. lowest quintile): 8.5 [3.45, 20.96] | sex, age, PCs (1-3), BMI, study site/medical centre | — |
| PPM001340 | PGS000655 (NAFLD-10) |
PSS000583| European Ancestry| 9,677 individuals |
PGP000119 | Namjou B et al. BMC Med (2019) |
Reported Trait: Nonalcoholic fatty liver disease | — | AUROC: 0.596 | Odds Ratio (OR, highest vs. lowest quintile): 2.16 [1.81, 2.58] | sex, age, PCs (1-3), BMI, study site/medical centre | — |
| PPM001367 | PGS000663 (wGRS22) |
PSS000598| European Ancestry| 1,591 individuals |
PGP000123 | Kim J et al. Cancer Epidemiol Biomarkers Prev (2020) |
Reported Trait: Pancreatic cancer | OR: 1.37 [1.23, 1.53] | — | — | — | Cross validation approach-testing sample = 20% |
| PPM001368 | PGS000663 (wGRS22) |
PSS000597| European Ancestry| 956 individuals |
PGP000123 | Kim J et al. Cancer Epidemiol Biomarkers Prev (2020) |
Reported Trait: Pancreatic cancer (0-10 years of follow-up) | OR: 1.46 [1.27, 1.68] | — | — | — | Cross validation approach-testing sample = 20% |
| PPM001369 | PGS000663 (wGRS22) |
PSS000598| European Ancestry| 1,591 individuals |
PGP000123 | Kim J et al. Cancer Epidemiol Biomarkers Prev (2020) |
Reported Trait: Pancreatic cancer | OR: 1.37 [1.22, 1.53] | AUROC: 0.65 | — | matching factors, age, cohort (also gender), race/ethnicity, smoking status, fasting status, month/year of blood collection, body mass index, waist-to-hip ratio, diabetic status | Cross validation approach-testing sample = 20% |
| PPM001370 | PGS000663 (wGRS22) |
PSS000597| European Ancestry| 956 individuals |
PGP000123 | Kim J et al. Cancer Epidemiol Biomarkers Prev (2020) |
Reported Trait: Pancreatic cancer (0-10 years of follow-up) | OR: 1.44 [1.25, 1.67] | AUROC: 0.67 | — | matching factors, age, cohort (also gender), race/ethnicity, smoking status, fasting status, month/year of blood collection, body mass index, waist-to-hip ratio, diabetic status | Cross validation approach-testing sample = 20% |
| PPM001596 | PGS000704 (HC171) |
PSS000792| European Ancestry| 87,413 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Alcoholic cirrhosis | — | AUROC: 0.55471 | — | Age, sex, PCs(1-10) | — |
| PPM001607 | PGS000704 (HC171) |
PSS000793| European Ancestry| 135,300 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Alcoholic cirrhosis | HR: 1.18 [1.11, 1.27] | C-index: 0.711 | — | Age as time scale, sex, batch, PCs(1-10) | — |
| PPM001597 | PGS000705 (HC188) |
PSS000811| European Ancestry| 87,413 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Gallstones | — | AUROC: 0.62164 | — | Age, sex, PCs(1-10) | — |
| PPM001613 | PGS000705 (HC188) |
PSS000812| European Ancestry| 135,300 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Gallstones | HR: 1.34 [1.32, 1.37] | C-index: 0.605 | — | Age as time scale, sex, batch, PCs(1-10) | — |
| PPM001604 | PGS000712 (T2D_HbA1c_39) |
PSS000755| European Ancestry| 87,413 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.68713 | — | Age, sex, PCs(1-10) | — |
| PPM001605 | PGS000713 (T2D) |
PSS000754| European Ancestry| 87,413 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.688 | — | Age, sex, PCs(1-10) | — |
| PPM001615 | PGS000713 (T2D) |
PSS000756| European Ancestry| 135,300 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Type 2 diabetes | HR: 1.49 [1.47, 1.51] | C-index: 0.669 | — | Age as time scale, sex, batch, PCs(1-10) | — |
| PPM001648 | PGS000720 (PRS_Colorectal) |
PSS000855| European Ancestry| 400,812 individuals |
PGP000135 | Jia G et al. JNCI Cancer Spectr (2020) |
Reported Trait: Incident colorectal cancer | — | AUROC: 0.609 [0.598, 0.62] | — | Genotyping array | — |
| PPM001649 | PGS000720 (PRS_Colorectal) |
PSS000855| European Ancestry| 400,812 individuals |
PGP000135 | Jia G et al. JNCI Cancer Spectr (2020) |
Reported Trait: Incident colorectal cancer | — | AUROC: 0.613 [0.602, 0.624] | — | family history of cancer (in first-degree relatives), genotyping array | — |
| PPM001655 | PGS000725 (PRS_Pancreas) |
PSS000859| European Ancestry| 400,812 individuals |
PGP000135 | Jia G et al. JNCI Cancer Spectr (2020) |
Reported Trait: Incident Pancreatic cancer | — | AUROC: 0.639 [0.613, 0.664] | — | Genotyping array | — |
| PPM001656 | PGS000726 (PGS12_CIR) |
PSS000861| European Ancestry| 30,469 individuals |
PGP000136 | Emdin CA et al. Gastroenterology (2020) |
Reported Trait: Cirrhosis | OR: 1.32 | — | Odds Ratio (OR, top 20% vs. bottom 20%): 2.26 [1.87, 2.73] | Age, sex, PCs (1-5) | — |
| PPM001657 | PGS000726 (PGS12_CIR) |
PSS000861| European Ancestry| 30,469 individuals |
PGP000136 | Emdin CA et al. Gastroenterology (2020) |
Reported Trait: Biopsy-confirmed cirrhosis | OR: 1.39 | — | Odds Ratio (OR, top 20% vs. bottom 20%): 2.21 [1.59, 3.08] | Age, sex, PCs (1-5) | — |
| PPM001658 | PGS000726 (PGS12_CIR) |
PSS000861| European Ancestry| 30,469 individuals |
PGP000136 | Emdin CA et al. Gastroenterology (2020) |
Reported Trait: Esophageal varices | OR: 1.45 | — | Odds Ratio (OR, top 20% vs. bottom 20%): 3.1 [1.97, 4.9] | Age, sex, PCs (1-5) | — |
| PPM001659 | PGS000726 (PGS12_CIR) |
PSS000861| European Ancestry| 30,469 individuals |
PGP000136 | Emdin CA et al. Gastroenterology (2020) |
Reported Trait: Hepatocellular carcioma | OR: 1.39 | — | Odds Ratio (OR, top 20% vs. bottom 20%): 2.51 [1.59, 3.97] | Age, sex, PCs (1-5) | — |
| PPM001660 | PGS000726 (PGS12_CIR) |
PSS000861| European Ancestry| 30,469 individuals |
PGP000136 | Emdin CA et al. Gastroenterology (2020) |
Reported Trait: Death from liver disease | OR: 1.29 | — | Odds Ratio (OR, top 20% vs. bottom 20%): 2.03 [1.24, 3.32] | Age, sex, PCs (1-5) | — |
| PPM001661 | PGS000726 (PGS12_CIR) |
PSS000866| African Ancestry| 1,442 individuals |
PGP000136 | Emdin CA et al. Gastroenterology (2020) |
Reported Trait: Cirrhosis | — | — | Odds Ratio (OR, 20-80% vs. bottom 20%): 3.63 [1.55, 8.5] Odds Ratio (OR, top 20% risk vs. bottom 20%): 2.44 [0.92, 6.48] |
Age, sex, PCs (1-5) | — |
| PPM001662 | PGS000726 (PGS12_CIR) |
PSS000863| Ancestry Not Reported| 13,826 individuals |
PGP000136 | Emdin CA et al. Gastroenterology (2020) |
Reported Trait: Cirrhosis | — | — | Odds Ratio (OR, top 1% vs. bottom 20%): 3.16 [2.03, 4.9] | Age, sex, PCs (1-5) | — |
| PPM001663 | PGS000726 (PGS12_CIR) |
PSS000862| Ancestry Not Reported| 13,047 individuals |
PGP000136 | Emdin CA et al. Gastroenterology (2020) |
Reported Trait: Biopsy-confirmed cirrhosis | — | — | Odds Ratio (OR, top 1% vs. bottom 20%): 6.12 [3.55, 10.58] | Age, sex, PCs (1-5) | — |
| PPM001664 | PGS000726 (PGS12_CIR) |
PSS000864| European Ancestry| 213 individuals |
PGP000136 | Emdin CA et al. Gastroenterology (2020) |
Reported Trait: Cirrhosis in individuals with hepatitis B | — | — | Odds ratio (OR, top 20% vs. bottom 20%): 4.83 [1.12, 20.0] | Age, sex, PCs (1-5) | — |
| PPM001665 | PGS000726 (PGS12_CIR) |
PSS000865| European Ancestry| 661 individuals |
PGP000136 | Emdin CA et al. Gastroenterology (2020) |
Reported Trait: Cirrhosis in individuals with hepatitis C | — | — | Odds ratio (OR, top 20% vs. bottom 20%): 2.2 [1.2, 4.05] | Age, sex, PCs (1-5) | — |
| PPM001667 | PGS000729 (T2D_PGS) |
PSS000869| European Ancestry| 3,087 individuals |
PGP000137 | Ritchie SC et al. Nat Metab (2021) |
Reported Trait: Incident type 2 diabetes | HR: 2.0 [1.36, 2.94] | — | — | age, sex, 10 genetic PCs | — |
| PPM001742 | PGS000734 (PRS95_CRC) |
PSS000896| European Ancestry| 24,472 individuals |
PGP000142 | Archambault AN et al. Gastroenterology (2019) |
Reported Trait: Early-onset colorectal cancer in individuals with no family history of colorectal cancer | HR: 1.76 [1.11, 2.78] | — | — | Sex, PCs | — |
| PPM001743 | PGS000734 (PRS95_CRC) |
PSS000895| European Ancestry| 61,129 individuals |
PGP000142 | Archambault AN et al. Gastroenterology (2019) |
Reported Trait: Late-onset colorectal cancer in individuals with no family history of colorectal cancer | HR: 1.42 [1.33, 1.52] | — | — | Sex, PCs | — |
| PPM001744 | PGS000734 (PRS95_CRC) |
PSS000897| European Ancestry| 6,668 individuals |
PGP000142 | Archambault AN et al. Gastroenterology (2019) |
Reported Trait: Late-onset colorectal cancer in individuals with a family history of colorectal cancer | HR: 1.34 [1.17, 1.54] | — | — | Sex, PCs | — |
| PPM001740 | PGS000734 (PRS95_CRC) |
PSS000894| European Ancestry| 26,938 individuals |
PGP000142 | Archambault AN et al. Gastroenterology (2019) |
Reported Trait: Early-onset colorectal cancer | HR: 1.73 [1.17, 2.56] | — | — | Sex, PCs | — |
| PPM001741 | PGS000734 (PRS95_CRC) |
PSS000893| European Ancestry| 67,792 individuals |
PGP000142 | Archambault AN et al. Gastroenterology (2019) |
Reported Trait: Late-onset colorectal cancer | HR: 1.43 [1.34, 1.51] | — | — | Sex, PCs | — |
| PPM018699 | PGS000734 (PRS95_CRC) |
PSS011071| East Asian Ancestry| 409 individuals |
PGP000494 | Ho PJ et al. Elife (2023) |Ext. |
Reported Trait: Colorectal cancer | — | AUROC: 0.66 [0.63, 0.69] | Hazard ratio (HR, high vs low tertile): 3.25 [2.24, 4.73] | age at recruitment | — |
| PPM001961 | PGS000765 (PRS_CRC95) |
PSS000981| Multi-ancestry (including European)| 48,807 individuals |
PGP000171 | Fahed AC et al. Nat Commun (2020) |Ext. |
Reported Trait: Prevalent colorectal cancer | OR: 1.65 [1.48, 1.85] | — | — | Age, sex, PCs (1-4) | — |
| PPM015518 | PGS000765 (PRS_CRC95) |
PSS009971| Multi-ancestry (including European)| 36,422 individuals |
PGP000381 | Hao L et al. Nat Med (2022) |Ext. |
Reported Trait: Colorectal cancer | OR: 2.37 [1.74, 3.24] | — | — | 4 genetic PCs | — |
| PPM018551 | PGS000765 (PRS_CRC95) |
PSS011020| Multi-ancestry (including European)| 163,516 individuals |
PGP000482 | Hassanin E et al. BMC Med Genomics (2023) |Ext. |
Reported Trait: Colorectal cancer with pathogenic variant carriers | — | AUROC: 0.693 [0.66, 0.71] C-index: 0.646 |
Odds ratio (OR, high vs low tertile): 17.5 [9.0, 32.4] | — | — |
| PPM018552 | PGS000765 (PRS_CRC95) |
PSS011020| Multi-ancestry (including European)| 163,516 individuals |
PGP000482 | Hassanin E et al. BMC Med Genomics (2023) |Ext. |
Reported Trait: Incident colorectal cancer with pathogenic variant carriers | — | — | Odds ratio (OR, high vs low tertile): 7.0 [2.04, 23.7] | — | — |
| PPM018553 | PGS000765 (PRS_CRC95) |
PSS011020| Multi-ancestry (including European)| 163,516 individuals |
PGP000482 | Hassanin E et al. BMC Med Genomics (2023) |Ext. |
Reported Trait: Colorectal cancer with family history of cancer | — | AUROC: 0.698 [0.67, 0.72] C-index: 0.652 |
Odds ratio (OR, high vs low tertile): 3.1 [2.6, 3.8] | — | — |
| PPM018554 | PGS000765 (PRS_CRC95) |
PSS011020| Multi-ancestry (including European)| 163,516 individuals |
PGP000482 | Hassanin E et al. BMC Med Genomics (2023) |Ext. |
Reported Trait: Colorectal cancer with family history of cancer and pathogenic variant carriers | — | AUROC: 0.704 [0.68, 0.73] C-index: 0.657 |
Odds ratio (OR, high vs low tertile): 39.9 [12.69, 125.41] | — | — |
| PPM018555 | PGS000765 (PRS_CRC95) |
PSS011020| Multi-ancestry (including European)| 163,516 individuals |
PGP000482 | Hassanin E et al. BMC Med Genomics (2023) |Ext. |
Reported Trait: Colorectal cancer | — | AUROC: 0.688 [0.66, 0.71] C-index: 0.64 |
— | — | — |
| PPM020769 | PGS000765 (PRS_CRC95) |
PSS011399| European Ancestry| 1,428 individuals |
PGP000583 | Dueñas N et al. J Med Genet (2023) |Ext. |
Reported Trait: Colorectal cancer or advanced adenoma in individuals with Lynch syndrome | HR: 1.019 [1.005, 1.032] | — | — | Sex, birth cohort, other Lynch syndrome-related cancers | — |
| PPM020782 | PGS000765 (PRS_CRC95) |
PSS011409| European Ancestry| 2,059 individuals |
PGP000589 | Mur P et al. Cancers (Basel) (2021) |Ext. |
Reported Trait: Familial / early-onset colorectal cancer | OR: 1.12 [1.09, 1.14] | — | — | Age, sex | Only 92 SNPs were included. 3 SNPs had an R^2 lower than 0.3 and were excluded |
| PPM020783 | PGS000765 (PRS_CRC95) |
PSS011410| European Ancestry| 2,719 individuals |
PGP000589 | Mur P et al. Cancers (Basel) (2021) |Ext. |
Reported Trait: Sporadic colorectal cancer | OR: 1.08 [1.06, 1.09] | — | — | Age, sex | Only 92 SNPs were included. 3 SNPs had an R^2 lower than 0.3 and were excluded |
| PPM020784 | PGS000765 (PRS_CRC95) |
PSS011409| European Ancestry| 2,059 individuals |
PGP000589 | Mur P et al. Cancers (Basel) (2021) |Ext. |
Reported Trait: Familial / early-onset colorectal cancer | — | AUROC: 0.833 | R²: 0.373 | Age at cancer diagnosis, sex | Only 92 SNPs were included. 3 SNPs had an R^2 lower than 0.3 and were excluded |
| PPM020785 | PGS000765 (PRS_CRC95) |
PSS011409| European Ancestry| 2,059 individuals |
PGP000589 | Mur P et al. Cancers (Basel) (2021) |Ext. |
Reported Trait: Familial / early-onset colorectal cancer | — | AUROC: 0.905 | R²: 0.598 | Age at cancer diagnosis, sex, family history of colorectal cancer | Only 92 SNPs were included. 3 SNPs had an R^2 lower than 0.3 and were excluded. Only 405 cases and 1,094 controls were included in this analysis |
| PPM002011 | PGS000776 (GRS9_Cirr) |
PSS000996| Ancestry Not Reported| 107,014 individuals |
PGP000180 | Innes H et al. Gastroenterology (2020) |
Reported Trait: Incident liver cirrhosis in individuals at-risk for nonalcoholic fatty liver disease (time to first hospitilisation) | — | C-index: 0.62 [0.59, 0.64] | Hazard Ratio (HR, top 20% vs bottom 20%): 3.12 [2.37, 4.12] | — | — |
| PPM002012 | PGS000776 (GRS9_Cirr) |
PSS000996| Ancestry Not Reported| 107,014 individuals |
PGP000180 | Innes H et al. Gastroenterology (2020) |
Reported Trait: Incident liver cirrhosis in individuals at-risk for nonalcoholic fatty liver disease (time to first hospitilisation) | — | — | Hazard Ratio (HR, top 20% vs bottom 20%): 3.16 [2.38, 4.21] | Age, sex, BMI, diabetes, units of alcohol consumed per week | — |
| PPM002013 | PGS000776 (GRS9_Cirr) |
PSS000996| Ancestry Not Reported| 107,014 individuals |
PGP000180 | Innes H et al. Gastroenterology (2020) |
Reported Trait: Incident liver cirrhosis in individuals at-risk for nonalcoholic fatty liver disease (time to first hospitilisation) | — | C-index: 0.677 [0.653, 0.7] | — | Age, sex | — |
| PPM002056 | PGS000785 (CC_Colorectal_IV) |
PSS001013| European Ancestry| 393,723 individuals |
PGP000186 | Kachuri L et al. Nat Commun (2020) |
Reported Trait: Incident colorectal cancer | HR: 1.48 [1.43, 1.54] | AUROC: 0.716 C-index: 0.716 (0.006) |
R²: 0.345 | Age at assessment, sex, family history of bowel cancer, genotyping array, PCs(1-15), wasit to hip ratio, cigarette pack years, frequency of processed meat intake (<1 per week vs. ≥1 per week), moderate and/or strenuous physical activity (days per week), alcohol intake | C-index calculated as a weighted average between 1 and 5 years and AUC at 5 years. |
| PPM002071 | PGS000785 (CC_Colorectal_IV) |
PSS001013| European Ancestry| 393,723 individuals |
PGP000186 | Kachuri L et al. Nat Commun (2020) |
Reported Trait: Incident colorectal cancer | — | AUROC: 0.708 C-index: 0.708 (0.006) |
R²: 0.319 | Age, sex, genotyping array, PCs(1-15) | C-index calculated as a weighted average between 1 and 5 years and AUC at 5 years. |
| PPM002063 | PGS000792 (CC_Oral_IV) |
PSS001020| European Ancestry| 391,479 individuals |
PGP000186 | Kachuri L et al. Nat Commun (2020) |
Reported Trait: Incident oral cavity and pharyngeal cancer | HR: 1.12 [1.02, 1.23] | AUROC: 0.702 C-index: 0.687 (0.015) |
R²: 0.356 | Age at assessment, sex, genotyping array, PCs(1-15), weekly alcohol intake, cigarettes per day, years of smoking, smoing status (never vs. former vs. current) | C-index calculated as a weighted average between 1 and 5 years and AUC at 5 years. |
| PPM002065 | PGS000794 (CC_Pancreas_IV) |
PSS001022| European Ancestry| 391,491 individuals |
PGP000186 | Kachuri L et al. Nat Commun (2020) |
Reported Trait: Incident pancreatic cancer | HR: 1.49 [1.37, 1.63] | AUROC: 0.745 C-index: 0.743 (0.012) |
R²: 0.439 | Age at assessment, sex, genotyping array, PCs(1-15), family history of cancer (prostate, breast, lung, bowel), body mass index, cigarette pack-years, smoking status (never vs. former vs. current) | C-index calculated as a weighted average between 1 and 5 years and AUC at 5 years. |
| PPM002087 | PGS000801 (GRS40_CRC) |
PSS001030| European Ancestry| 27,426 individuals |
PGP000190 | Hang D et al. Int J Epidemiol (2020) |
Reported Trait: Advanced conventional adenoma | OR: 1.22 [1.16, 1.28] | — | Odds Ratio (OR, top 20% vs bottom 20%): 1.91 [1.59, 2.29] | Study cohort (NHS, NHSII, HPFS), time period of endoscopy (in 2-year interval), number of previous endoscopies, time in years since the most recent endoscopy, age, PCs(1-3) | Effect weights for SNPs within the PGS were obtained using the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO) dataset. The GECCO dataset had no overlap with the dataset used to evaluate the score. |
| PPM002092 | PGS000801 (GRS40_CRC) |
PSS001030| European Ancestry| 27,426 individuals |
PGP000190 | Hang D et al. Int J Epidemiol (2020) |
Reported Trait: Multiple conventional adenomas | OR: 1.25 [1.17, 1.34] | — | — | Study cohort (NHS, NHSII, HPFS), time period of endoscopy (in 2-year interval), number of previous endoscopies, time in years since the most recent endoscopy, age, PCs(1-3) | Effect weights for SNPs within the PGS were obtained using the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO) dataset. The GECCO dataset had no overlap with the dataset used to evaluate the score. |
| PPM002093 | PGS000801 (GRS40_CRC) |
PSS001030| European Ancestry| 27,426 individuals |
PGP000190 | Hang D et al. Int J Epidemiol (2020) |
Reported Trait: Multiple serrated polyps | OR: 1.09 [1.01, 1.18] | — | — | Study cohort (NHS, NHSII, HPFS), time period of endoscopy (in 2-year interval), number of previous endoscopies, time in years since the most recent endoscopy, age, PCs(1-3) | Effect weights for SNPs within the PGS were obtained using the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO) dataset. The GECCO dataset had no overlap with the dataset used to evaluate the score. |
| PPM002085 | PGS000801 (GRS40_CRC) |
PSS001030| European Ancestry| 27,426 individuals |
PGP000190 | Hang D et al. Int J Epidemiol (2020) |
Reported Trait: Conventional adeonma | OR: 1.17 [1.12, 1.21] | — | Odds Ratio (OR, top 20% vs bottom 20%): 1.63 [1.44, 1.83] | Study cohort (NHS, NHSII, HPFS), time period of endoscopy (in 2-year interval), number of previous endoscopies, time in years since the most recent endoscopy, age, PCs(1-3) | Effect weights for SNPs within the PGS were obtained using the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO) dataset. The GECCO dataset had no overlap with the dataset used to evaluate the score. |
| PPM002086 | PGS000801 (GRS40_CRC) |
PSS001030| European Ancestry| 27,426 individuals |
PGP000190 | Hang D et al. Int J Epidemiol (2020) |
Reported Trait: Non-advanced conventional adenoma | OR: 1.12 [1.07, 1.18] | — | Odds Ratio (OR, top 20% vs bottom 20%): 1.44 [1.23, 1.68] | Study cohort (NHS, NHSII, HPFS), time period of endoscopy (in 2-year interval), number of previous endoscopies, time in years since the most recent endoscopy, age, PCs(1-3) | Effect weights for SNPs within the PGS were obtained using the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO) dataset. The GECCO dataset had no overlap with the dataset used to evaluate the score. |
| PPM002088 | PGS000801 (GRS40_CRC) |
PSS001030| European Ancestry| 27,426 individuals |
PGP000190 | Hang D et al. Int J Epidemiol (2020) |
Reported Trait: Serrated polyp | OR: 1.09 [1.03, 1.14] | — | Odds Ratio (OR, top 20% vs bottom 20%): 1.24 [1.06, 1.45] | Study cohort (NHS, NHSII, HPFS), time period of endoscopy (in 2-year interval), number of previous endoscopies, time in years since the most recent endoscopy, age, PCs(1-3) | Effect weights for SNPs within the PGS were obtained using the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO) dataset. The GECCO dataset had no overlap with the dataset used to evaluate the score. |
| PPM002089 | PGS000801 (GRS40_CRC) |
PSS001030| European Ancestry| 27,426 individuals |
PGP000190 | Hang D et al. Int J Epidemiol (2020) |
Reported Trait: Serrated polyp with high risk of malignancy | OR: 1.1 [1.01, 1.19] | — | — | Study cohort (NHS, NHSII, HPFS), time period of endoscopy (in 2-year interval), number of previous endoscopies, time in years since the most recent endoscopy, age, PCs(1-3) | Effect weights for SNPs within the PGS were obtained using the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO) dataset. The GECCO dataset had no overlap with the dataset used to evaluate the score. |
| PPM002090 | PGS000801 (GRS40_CRC) |
PSS001030| European Ancestry| 27,426 individuals |
PGP000190 | Hang D et al. Int J Epidemiol (2020) |
Reported Trait: Serrated polyp with low risk of malignancy | OR: 1.08 [1.02, 1.15] | — | Odds Ratio (OR, top 20% vs bottom 20%): 1.25 [1.03, 1.53] | Study cohort (NHS, NHSII, HPFS), time period of endoscopy (in 2-year interval), number of previous endoscopies, time in years since the most recent endoscopy, age, PCs(1-3) | Effect weights for SNPs within the PGS were obtained using the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO) dataset. The GECCO dataset had no overlap with the dataset used to evaluate the score. |
| PPM002091 | PGS000801 (GRS40_CRC) |
PSS001030| European Ancestry| 27,426 individuals |
PGP000190 | Hang D et al. Int J Epidemiol (2020) |
Reported Trait: Synchronous conventional adenoma and serrated polyp | OR: 1.24 [1.16, 1.32] | — | Odds Ratio (OR, top 20% vs bottom 20%): 1.96 [1.54, 2.49] | Study cohort (NHS, NHSII, HPFS), time period of endoscopy (in 2-year interval), number of previous endoscopies, time in years since the most recent endoscopy, age, PCs(1-3) | Effect weights for SNPs within the PGS were obtained using the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO) dataset. The GECCO dataset had no overlap with the dataset used to evaluate the score. |
| PPM002098 | PGS000802 (CRC_19) |
PSS001032| East Asian Ancestry| 2,566 individuals |
PGP000191 | He CY et al. Genomics (2021) |
Reported Trait: Colorectal cancer | — | — | Odds Ratio (OR, top 75% vs bottom 25%): 2.53 [1.99, 3.22] | Gender, age | — |
| PPM002099 | PGS000802 (CRC_19) |
PSS001031| East Asian Ancestry| 2,269 individuals |
PGP000191 | He CY et al. Genomics (2021) |
Reported Trait: Colorectal cancer | — | — | Odds Ratio (OR, top 75% vs bottom 25%): 2.12 [1.63, 2.77] | Gender, age | — |
| PPM002094 | PGS000802 (CRC_19) |
PSS001033| East Asian Ancestry| 5,465 individuals |
PGP000191 | He CY et al. Genomics (2021) |
Reported Trait: Colorectal cancer | — | AUROC: 0.59 [0.57, 0.6] | — | — | Possible overlap with score development samples |
| PPM002095 | PGS000802 (CRC_19) |
PSS001032| East Asian Ancestry| 2,566 individuals |
PGP000191 | He CY et al. Genomics (2021) |
Reported Trait: Colorectal cancer | — | AUROC: 0.61 [0.59, 0.63] | — | — | — |
| PPM002096 | PGS000802 (CRC_19) |
PSS001031| East Asian Ancestry| 2,269 individuals |
PGP000191 | He CY et al. Genomics (2021) |
Reported Trait: Colorectal cancer | — | AUROC: 0.59 [0.57, 0.61] | — | — | — |
| PPM002097 | PGS000802 (CRC_19) |
PSS001033| East Asian Ancestry| 5,465 individuals |
PGP000191 | He CY et al. Genomics (2021) |
Reported Trait: Colorectal cancer | — | — | Odds Ratio (OR, top 75% vs bottom 25%): 2.27 [1.95, 2.64] | Gender, age | possible overlap with score development samples |
| PPM002117 | PGS000804 (GRS582_T2Dmulti) |
PSS001044| African Ancestry| 15,609 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.568 [0.5588, 0.5772] | — | — | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002119 | PGS000804 (GRS582_T2Dmulti) |
PSS001046| European Ancestry| 423,729 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.825 [0.8222, 0.8279] | Odds Ratio (OR, top 10% vs middle 20%): 2.94 [2.8, 3.08] | Age, sex, body mass index, PCs(1-10) | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002121 | PGS000804 (GRS582_T2Dmulti) |
PSS001046| European Ancestry| 423,729 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.6586 [0.6547, 0.6624] | — | — | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002123 | PGS000804 (GRS582_T2Dmulti) |
PSS001047| Hispanic or Latin American Ancestry| 20,486 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.7293 [0.721, 0.7376] | Odds Ratio (OR, top 10% vs middle 20%): 2.39 [2.1, 2.73] | Age, sex, body mass index, study, PCs(1-10) | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002125 | PGS000804 (GRS582_T2Dmulti) |
PSS001047| Hispanic or Latin American Ancestry| 20,486 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.6249 [0.6156, 0.6342] | — | — | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002127 | PGS000804 (GRS582_T2Dmulti) |
PSS001045| Additional Asian Ancestries| 4,576 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.8411 [0.8298, 0.8523] | Odds Ratio (OR, top 10% vs middle 20%): 3.08 [2.4, 3.95] | Age, sex, body mass index, study, PCs(1-10) | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002129 | PGS000804 (GRS582_T2Dmulti) |
PSS001045| Additional Asian Ancestries| 4,576 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.6263 [0.6101, 0.6425] | — | — | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002131 | PGS000804 (GRS582_T2Dmulti) |
PSS001048| Additional Diverse Ancestries| 3,551 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.7989 [0.7845, 0.8133] | Odds Ratio (OR, top 10% vs middle 20%): 2.02 [1.54, 2.65] | Age, sex, body mass index, PCs(1-10) | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002133 | PGS000804 (GRS582_T2Dmulti) |
PSS001048| Additional Diverse Ancestries| 3,551 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.6214 [0.603, 0.6399] | — | — | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002115 | PGS000804 (GRS582_T2Dmulti) |
PSS001044| African Ancestry| 15,609 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.6701 [0.6615, 0.6788] | Odds Ratio (OR, top 10% vs middle 20%): 1.57 [1.39, 1.77] | Age, sex, body mass index, study, PCs(1-10) | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002120 | PGS000805 (GRS582_T2Deur) |
PSS001046| European Ancestry| 423,729 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.8253 [0.8224, 0.8281] | Odds Ratio (OR, top 10% vs middle 20%): 2.95 [2.81, 3.1] | Age, sex, body mass index, PCs(1-10) | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002122 | PGS000805 (GRS582_T2Deur) |
PSS001046| European Ancestry| 423,729 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.6593 [0.6555, 0.6632] | — | — | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002134 | PGS000805 (GRS582_T2Deur) |
PSS001048| Additional Diverse Ancestries| 3,551 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.6213 [0.6029, 0.6397] | — | — | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. Population-specific weights were not available for indiviuals of an Oceanian ancestry (Native Hawaiian). Therefore, GRS582_T2Deur was utilised to predict type 2 diabetes in individuals of an Oceanian ancestry. |
| PPM002132 | PGS000805 (GRS582_T2Deur) |
PSS001048| Additional Diverse Ancestries| 3,551 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.7985 [0.7842, 0.8129] | Odds Ratio (OR, top 10% vs middle 20%): 2.13 [1.63, 2.79] | Age, sex, body mass index, PCs(1-10) | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. Population-specific weights were not available for indiviuals of an Oceanian ancestry (Native Hawaiian). Therefore, GRS582_T2Deur was utilised to predict type 2 diabetes in individuals of an Oceanian ancestry. |
| PPM002116 | PGS000806 (GRS582_T2Dafr) |
PSS001044| African Ancestry| 15,609 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.6656 [0.6569, 0.6743] | Odds Ratio (OR, top 10% vs middle 20%): 1.53 [1.36, 1.73] | Age, sex, body mass index, study, PCs(1-10) | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002118 | PGS000806 (GRS582_T2Dafr) |
PSS001044| African Ancestry| 15,609 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.5592 [0.5499, 0.5684] | — | — | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002128 | PGS000807 (GRS582_T2Dasn) |
PSS001045| Additional Asian Ancestries| 4,576 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.8388 [0.8274, 0.8502] | Odds Ratio (OR, top 10% vs middle 20%): 2.84 [2.21, 3.65] | Age, sex, body mass index, study, PCs(1-10) | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002130 | PGS000807 (GRS582_T2Dasn) |
PSS001045| Additional Asian Ancestries| 4,576 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.6161 [0.5998, 0.6324] | — | — | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002135 | PGS000807 (GRS582_T2Dasn) |
PSS001048| Additional Diverse Ancestries| 3,551 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.7909 [0.7763, 0.8056] | Odds Ratio (OR, top 10% vs middle 20%): 1.62 [1.23, 2.14] | Age, sex, body mass index, PCs(1-10) | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. Population-specific weights were not available for indiviuals of an Oceanian ancestry (Native Hawaiian). Therefore, GRS582_T2Dasn was utilised to predict type 2 diabetes in individuals of an Oceanian ancestry. |
| PPM002136 | PGS000807 (GRS582_T2Dasn) |
PSS001048| Additional Diverse Ancestries| 3,551 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.5768 [0.558, 0.5956] | — | — | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. Population-specific weights were not available for indiviuals of an Oceanian ancestry (Native Hawaiian). Therefore, GRS582_T2Dasn was utilised to predict type 2 diabetes in individuals of an Oceanian ancestry. |
| PPM002124 | PGS000808 (GRS582_T2Dhis) |
PSS001047| Hispanic or Latin American Ancestry| 20,486 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.7202 [0.7118, 0.7286] | Odds Ratio (OR, top 10% vs middle 20%): 2.04 [1.79, 2.32] | Age, sex, body mass index, study, PCs(1-10) | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002126 | PGS000808 (GRS582_T2Dhis) |
PSS001047| Hispanic or Latin American Ancestry| 20,486 individuals |
PGP000193 | Polfus LM et al. HGG Adv (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.6098 [0.6004, 0.6192] | — | — | Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. |
| PPM002240 | PGS000832 (T2D-GRS) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.24 [1.16, 1.34] | — | — | PC1-10 | — |
| PPM002242 | PGS000832 (T2D-GRS) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 1.77 [1.67, 1.88] | — | — | PC1-10 | — |
| PPM002239 | PGS000832 (T2D-GRS) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.96 [1.81, 2.12] | — | — | PC1-10 | — |
| PPM002238 | PGS000832 (T2D-GRS) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 1.28 [1.16, 1.42] | — | — | PC1-10 | — |
| PPM002241 | PGS000832 (T2D-GRS) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.73 [1.61, 1.86] | — | — | PC1-10 | — |
| PPM020163 | PGS000832 (T2D-GRS) |
PSS011301| South Asian Ancestry| 1,282 individuals |
PGP000525 | Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) |Ext. |
Reported Trait: Type 2 diabetes | OR: 1.78 [1.49, 2.13] | — | — | age, sex and BMI | Evaluated on 381 of 384 SNPs based on the availability of variants in the cohort |
| PPM020196 | PGS000832 (T2D-GRS) |
PSS011303| South Asian Ancestry| 729 individuals |
PGP000525 | Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) |Ext. |
Reported Trait: Mild obesity-related diabetes | OR: 1.5 [1.27, 1.76] | — | — | sex | Evaluated on 381 of 384 SNPs based on the availability of variants in the cohort |
| PPM020207 | PGS000832 (T2D-GRS) |
PSS011305| South Asian Ancestry| 624 individuals |
PGP000525 | Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) |Ext. |
Reported Trait: Mild age-related diabetes | OR: 1.54 [1.27, 1.87] | — | — | sex | Evaluated on 381 of 384 SNPs based on the availability of variants in the cohort |
| PPM020184 | PGS000832 (T2D-GRS) |
PSS011302| South Asian Ancestry| 830 individuals |
PGP000525 | Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) |Ext. |
Reported Trait: Severe insulin deficiency diabetes | OR: 1.66 [1.42, 1.93] | — | — | sex | Evaluated on 381 of 384 SNPs based on the availability of variants in the cohort |
| PPM002243 | PGS000833 (T1D) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 1.39 [1.25, 1.54] | — | — | PC1-10 | — |
| PPM002246 | PGS000833 (T1D) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.04 [0.97, 1.11] | — | — | PC1-10 | — |
| PPM002247 | PGS000833 (T1D) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 1.02 [0.97, 1.07] | — | — | PC1-10 | — |
| PPM002244 | PGS000833 (T1D) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.01 [0.94, 1.08] | — | — | PC1-10 | — |
| PPM002245 | PGS000833 (T1D) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.03 [0.96, 1.11] | — | — | PC1-10 | — |
| PPM002323 | PGS000848 (T2D_Adiposity) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 1.11 [1.0, 1.23] | — | — | PC1-10 | — |
| PPM002324 | PGS000848 (T2D_Adiposity) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.1 [1.02, 1.18] | — | — | PC1-10 | — |
| PPM002325 | PGS000848 (T2D_Adiposity) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.11 [1.03, 1.19] | — | — | PC1-10 | — |
| PPM002326 | PGS000848 (T2D_Adiposity) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.2 [1.12, 1.28] | — | — | PC1-10 | — |
| PPM002327 | PGS000848 (T2D_Adiposity) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 1.06 [1.0, 1.12] | — | — | PC1-10 | — |
| PPM020167 | PGS000848 (T2D_Adiposity) |
PSS011301| South Asian Ancestry| 1,282 individuals |
PGP000525 | Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) |Ext. |
Reported Trait: Type 2 diabetes | OR: 1.14 [1.01, 1.28] | — | — | sex | — |
| PPM020183 | PGS000848 (T2D_Adiposity) |
PSS011301| South Asian Ancestry| 1,282 individuals |
PGP000525 | Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) |Ext. |
Reported Trait: BMI | β: 0.06772 (0.027943) | — | — | — | — |
| PPM020187 | PGS000848 (T2D_Adiposity) |
PSS011302| South Asian Ancestry| 830 individuals |
PGP000525 | Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) |Ext. |
Reported Trait: Severe insulin deficiency diabetes | OR: 1.23 [1.07, 1.43] | — | — | sex | — |
| PPM002329 | PGS000849 (T2D_Impaired_Lipids) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.07 [1.0, 1.15] | — | — | PC1-10 | — |
| PPM002330 | PGS000849 (T2D_Impaired_Lipids) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.09 [1.01, 1.17] | — | — | PC1-10 | — |
| PPM002331 | PGS000849 (T2D_Impaired_Lipids) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.0 [0.93, 1.07] | — | — | PC1-10 | — |
| PPM002332 | PGS000849 (T2D_Impaired_Lipids) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 1.06 [1.0, 1.12] | — | — | PC1-10 | — |
| PPM002328 | PGS000849 (T2D_Impaired_Lipids) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 1.08 [0.97, 1.2] | — | — | PC1-10 | — |
| PPM020176 | PGS000849 (T2D_Impaired_Lipids) |
PSS011301| South Asian Ancestry| 1,282 individuals |
PGP000525 | Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) |Ext. |
Reported Trait: Type 2 diabetes | OR: 1.2 [1.0, 1.44] | — | — | age, sex and BMI | — |
| PPM020194 | PGS000849 (T2D_Impaired_Lipids) |
PSS011302| South Asian Ancestry| 830 individuals |
PGP000525 | Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) |Ext. |
Reported Trait: Severe insulin deficiency diabetes | OR: 1.2 [1.03, 1.4] | — | — | sex | — |
| PPM020204 | PGS000849 (T2D_Impaired_Lipids) |
PSS011303| South Asian Ancestry| 729 individuals |
PGP000525 | Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) |Ext. |
Reported Trait: Mild obesity-related diabetes | OR: 1.26 [1.07, 1.49] | — | — | sex | — |
| PPM002333 | PGS000850 (T2D_Insulin_Action) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 1.08 [0.98, 1.2] | — | — | PC1-10 | — |
| PPM002334 | PGS000850 (T2D_Insulin_Action) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.17 [1.09, 1.25] | — | — | PC1-10 | — |
| PPM002335 | PGS000850 (T2D_Insulin_Action) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.17 [1.09, 1.26] | — | — | PC1-10 | — |
| PPM002337 | PGS000850 (T2D_Insulin_Action) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 1.16 [1.1, 1.23] | — | — | PC1-10 | — |
| PPM002336 | PGS000850 (T2D_Insulin_Action) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.14 [1.07, 1.22] | — | — | PC1-10 | — |
| PPM020173 | PGS000850 (T2D_Insulin_Action) |
PSS011301| South Asian Ancestry| 1,282 individuals |
PGP000525 | Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) |Ext. |
Reported Trait: Type 2 diabetes | OR: 1.16 [1.03, 1.3] | — | — | sex | — |
| PPM020201 | PGS000850 (T2D_Insulin_Action) |
PSS011303| South Asian Ancestry| 729 individuals |
PGP000525 | Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) |Ext. |
Reported Trait: Mild obesity-related diabetes | OR: 1.17 [1.0, 1.36] | — | — | sex | — |
| PPM020213 | PGS000850 (T2D_Insulin_Action) |
PSS011305| South Asian Ancestry| 624 individuals |
PGP000525 | Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) |Ext. |
Reported Trait: Mild age-related diabetes | OR: 1.26 [1.04, 1.53] | — | — | sex | — |
| PPM002338 | PGS000851 (T2D_Insulin_Action_Secretion) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 1.24 [1.12, 1.37] | — | — | PC1-10 | — |
| PPM002339 | PGS000851 (T2D_Insulin_Action_Secretion) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.23 [1.15, 1.32] | — | — | PC1-10 | — |
| PPM002340 | PGS000851 (T2D_Insulin_Action_Secretion) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.04 [0.97, 1.11] | — | — | PC1-10 | — |
| PPM002341 | PGS000851 (T2D_Insulin_Action_Secretion) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.19 [1.12, 1.28] | — | — | PC1-10 | — |
| PPM002342 | PGS000851 (T2D_Insulin_Action_Secretion) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 1.19 [1.13, 1.26] | — | — | PC1-10 | — |
| PPM020172 | PGS000851 (T2D_Insulin_Action_Secretion) |
PSS011301| South Asian Ancestry| 1,282 individuals |
PGP000525 | Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) |Ext. |
Reported Trait: Type 2 diabetes | OR: 1.07 [0.9, 1.28] | — | — | age, sex and BMI | — |
| PPM020192 | PGS000851 (T2D_Insulin_Action_Secretion) |
PSS011302| South Asian Ancestry| 830 individuals |
PGP000525 | Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) |Ext. |
Reported Trait: Severe insulin deficiency diabetes | OR: 1.17 [1.01, 1.34] | — | — | sex | — |
| PPM020212 | PGS000851 (T2D_Insulin_Action_Secretion) |
PSS011305| South Asian Ancestry| 624 individuals |
PGP000525 | Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) |Ext. |
Reported Trait: Mild age-related diabetes | OR: 1.45 [1.19, 1.78] | — | — | sex | — |
| PPM002343 | PGS000852 (T2D_Insulin_Secretion_1) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 1.01 [0.91, 1.12] | — | — | PC1-10 | — |
| PPM002344 | PGS000852 (T2D_Insulin_Secretion_1) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.31 [1.22, 1.41] | — | — | PC1-10 | — |
| PPM002345 | PGS000852 (T2D_Insulin_Secretion_1) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.04 [0.97, 1.12] | — | — | PC1-10 | — |
| PPM002347 | PGS000852 (T2D_Insulin_Secretion_1) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 1.29 [1.22, 1.37] | — | — | PC1-10 | — |
| PPM002346 | PGS000852 (T2D_Insulin_Secretion_1) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.26 [1.18, 1.35] | — | — | PC1-10 | — |
| PPM020170 | PGS000852 (T2D_Insulin_Secretion_1) |
PSS011301| South Asian Ancestry| 1,282 individuals |
PGP000525 | Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) |Ext. |
Reported Trait: Type 2 diabetes | OR: 1.33 [1.12, 1.58] | — | — | age, sex and BMI | — |
| PPM020190 | PGS000852 (T2D_Insulin_Secretion_1) |
PSS011302| South Asian Ancestry| 830 individuals |
PGP000525 | Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) |Ext. |
Reported Trait: Severe insulin deficiency diabetes | OR: 1.38 [1.19, 1.59] | — | — | sex | — |
| PPM020199 | PGS000852 (T2D_Insulin_Secretion_1) |
PSS011303| South Asian Ancestry| 729 individuals |
PGP000525 | Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) |Ext. |
Reported Trait: Mild obesity-related diabetes | OR: 1.25 [1.08, 1.46] | — | — | sex | — |
| PPM020210 | PGS000852 (T2D_Insulin_Secretion_1) |
PSS011305| South Asian Ancestry| 624 individuals |
PGP000525 | Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) |Ext. |
Reported Trait: Mild age-related diabetes | OR: 1.33 [1.1, 1.61] | — | — | sex | — |
| PPM002348 | PGS000853 (T2D_Insulin_Secretion_2) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 0.99 [0.9, 1.1] | — | — | PC1-10 | — |
| PPM002349 | PGS000853 (T2D_Insulin_Secretion_2) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.26 [1.18, 1.36] | — | — | PC1-10 | — |
| PPM002350 | PGS000853 (T2D_Insulin_Secretion_2) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.02 [0.95, 1.09] | — | — | PC1-10 | — |
| PPM002351 | PGS000853 (T2D_Insulin_Secretion_2) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.18 [1.11, 1.27] | — | — | PC1-10 | — |
| PPM002352 | PGS000853 (T2D_Insulin_Secretion_2) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 1.23 [1.17, 1.3] | — | — | PC1-10 | — |
| PPM020171 | PGS000853 (T2D_Insulin_Secretion_2) |
PSS011301| South Asian Ancestry| 1,282 individuals |
PGP000525 | Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) |Ext. |
Reported Trait: Type 2 diabetes | OR: 1.32 [1.11, 1.57] | — | — | age, sex and BMI | — |
| PPM020200 | PGS000853 (T2D_Insulin_Secretion_2) |
PSS011303| South Asian Ancestry| 729 individuals |
PGP000525 | Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) |Ext. |
Reported Trait: Mild obesity-related diabetes | OR: 1.24 [1.07, 1.45] | — | — | sex | — |
| PPM020211 | PGS000853 (T2D_Insulin_Secretion_2) |
PSS011305| South Asian Ancestry| 624 individuals |
PGP000525 | Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) |Ext. |
Reported Trait: Mild age-related diabetes | OR: 1.32 [1.1, 1.59] | — | — | sex | — |
| PPM002353 | PGS000854 (T2D_BetaCell) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 1.0 [0.91, 1.11] | — | — | PC1-10 | — |
| PPM002354 | PGS000854 (T2D_BetaCell) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.32 [1.23, 1.42] | — | — | PC1-10 | — |
| PPM002355 | PGS000854 (T2D_BetaCell) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.01 [0.94, 1.08] | — | — | PC1-10 | — |
| PPM002357 | PGS000854 (T2D_BetaCell) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 1.27 [1.2, 1.34] | — | — | PC1-10 | — |
| PPM002356 | PGS000854 (T2D_BetaCell) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.21 [1.13, 1.3] | — | — | PC1-10 | — |
| PPM020168 | PGS000854 (T2D_BetaCell) |
PSS011301| South Asian Ancestry| 1,282 individuals |
PGP000525 | Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) |Ext. |
Reported Trait: Type 2 diabetes | OR: 0.89 [0.79, 1.0] | — | — | sex | — |
| PPM020188 | PGS000854 (T2D_BetaCell) |
PSS011302| South Asian Ancestry| 830 individuals |
PGP000525 | Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) |Ext. |
Reported Trait: Severe insulin deficiency diabetes | OR: 0.87 [0.75, 1.0] | — | — | sex | — |
| PPM020209 | PGS000854 (T2D_BetaCell) |
PSS011305| South Asian Ancestry| 624 individuals |
PGP000525 | Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) |Ext. |
Reported Trait: Mild age-related diabetes | OR: 0.81 [0.67, 0.97] | — | — | sex | — |
| PPM002358 | PGS000855 (T2D_Lipodystrophy) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 1.12 [1.01, 1.25] | — | — | PC1-10 | — |
| PPM002359 | PGS000855 (T2D_Lipodystrophy) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.23 [1.15, 1.33] | — | — | PC1-10 | — |
| PPM002360 | PGS000855 (T2D_Lipodystrophy) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.15 [1.07, 1.24] | — | — | PC1-10 | — |
| PPM002361 | PGS000855 (T2D_Lipodystrophy) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.14 [1.06, 1.22] | — | — | PC1-10 | — |
| PPM002362 | PGS000855 (T2D_Lipodystrophy) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 1.18 [1.11, 1.24] | — | — | PC1-10 | — |
| PPM020175 | PGS000855 (T2D_Lipodystrophy) |
PSS011301| South Asian Ancestry| 1,282 individuals |
PGP000525 | Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) |Ext. |
Reported Trait: Type 2 diabetes | OR: 1.17 [1.04, 1.31] | — | — | sex | — |
| PPM020193 | PGS000855 (T2D_Lipodystrophy) |
PSS011302| South Asian Ancestry| 830 individuals |
PGP000525 | Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) |Ext. |
Reported Trait: Severe insulin deficiency diabetes | OR: 1.16 [1.0, 1.34] | — | — | sex | — |
| PPM020203 | PGS000855 (T2D_Lipodystrophy) |
PSS011303| South Asian Ancestry| 729 individuals |
PGP000525 | Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) |Ext. |
Reported Trait: Mild obesity-related diabetes | OR: 1.18 [1.01, 1.37] | — | — | sex | — |
| PPM002363 | PGS000856 (T2D_LiverLipids) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 1.35 [1.22, 1.51] | — | — | PC1-10 | — |
| PPM002364 | PGS000856 (T2D_LiverLipids) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.01 [0.94, 1.08] | — | — | PC1-10 | — |
| PPM002366 | PGS000856 (T2D_LiverLipids) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.02 [0.95, 1.09] | — | — | PC1-10 | — |
| PPM002367 | PGS000856 (T2D_LiverLipids) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 0.95 [0.9, 1.01] | — | — | PC1-10 | — |
| PPM002365 | PGS000856 (T2D_LiverLipids) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 0.97 [0.91, 1.05] | — | — | PC1-10 | — |
| PPM020177 | PGS000856 (T2D_LiverLipids) |
PSS011301| South Asian Ancestry| 1,282 individuals |
PGP000525 | Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) |Ext. |
Reported Trait: Type 2 diabetes | OR: 1.29 [1.09, 1.54] | — | — | age, sex and BMI | — |
| PPM020195 | PGS000856 (T2D_LiverLipids) |
PSS011302| South Asian Ancestry| 830 individuals |
PGP000525 | Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) |Ext. |
Reported Trait: Severe insulin deficiency diabetes | OR: 1.24 [1.07, 1.43] | — | — | sex | — |
| PPM020205 | PGS000856 (T2D_LiverLipids) |
PSS011303| South Asian Ancestry| 729 individuals |
PGP000525 | Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) |Ext. |
Reported Trait: Mild obesity-related diabetes | OR: 1.31 [1.12, 1.53] | — | — | sex | — |
| PPM020206 | PGS000856 (T2D_LiverLipids) |
PSS011304| South Asian Ancestry| 482 individuals |
PGP000525 | Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) |Ext. |
Reported Trait: Severe insulin-resistant diabetes | OR: 2.04 [1.26, 3.3] | — | — | sex | — |
| PPM002368 | PGS000857 (T2D_Obesity) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 1.07 [0.97, 1.19] | — | — | PC1-10 | — |
| PPM002369 | PGS000857 (T2D_Obesity) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.08 [1.01, 1.16] | — | — | PC1-10 | — |
| PPM002370 | PGS000857 (T2D_Obesity) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.13 [1.05, 1.22] | — | — | PC1-10 | — |
| PPM002371 | PGS000857 (T2D_Obesity) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.19 [1.11, 1.27] | — | — | PC1-10 | — |
| PPM002372 | PGS000857 (T2D_Obesity) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 1.04 [0.99, 1.1] | — | — | PC1-10 | — |
| PPM020164 | PGS000857 (T2D_Obesity) |
PSS011301| South Asian Ancestry| 1,282 individuals |
PGP000525 | Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) |Ext. |
Reported Trait: Type 2 diabetes | OR: 0.87 [0.77, 0.99] | — | — | sex | — |
| PPM002373 | PGS000858 (T2D_Proinsulin) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 0.94 [0.85, 1.04] | — | — | PC1-10 | — |
| PPM002374 | PGS000858 (T2D_Proinsulin) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.14 [1.06, 1.22] | — | — | PC1-10 | — |
| PPM002376 | PGS000858 (T2D_Proinsulin) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.06 [0.99, 1.13] | — | — | PC1-10 | — |
| PPM002377 | PGS000858 (T2D_Proinsulin) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 1.1 [1.04, 1.16] | — | — | PC1-10 | — |
| PPM002375 | PGS000858 (T2D_Proinsulin) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 0.93 [0.87, 1.0] | — | — | PC1-10 | — |
| PPM020174 | PGS000858 (T2D_Proinsulin) |
PSS011301| South Asian Ancestry| 1,282 individuals |
PGP000525 | Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) |Ext. |
Reported Trait: Type 2 diabetes | OR: 1.22 [1.03, 1.44] | — | — | age, sex and BMI | — |
| PPM020202 | PGS000858 (T2D_Proinsulin) |
PSS011303| South Asian Ancestry| 729 individuals |
PGP000525 | Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) |Ext. |
Reported Trait: Mild obesity-related diabetes | OR: 1.2 [1.03, 1.4] | — | — | sex | — |
| PPM020214 | PGS000858 (T2D_Proinsulin) |
PSS011305| South Asian Ancestry| 624 individuals |
PGP000525 | Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) |Ext. |
Reported Trait: Mild age-related diabetes | OR: 1.23 [1.01, 1.48] | — | — | sex | — |
| PPM002403 | PGS000864 (T2D-gPRS) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 1.42 [1.28, 1.58] | — | — | PC1-10 | — |
| PPM002404 | PGS000864 (T2D-gPRS) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.93 [1.79, 2.09] | — | — | PC1-10 | — |
| PPM002406 | PGS000864 (T2D-gPRS) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 2.12 [1.96, 2.29] | — | — | PC1-10 | — |
| PPM002407 | PGS000864 (T2D-gPRS) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 1.59 [1.5, 1.69] | — | — | PC1-10 | — |
| PPM002405 | PGS000864 (T2D-gPRS) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.56 [1.45, 1.69] | — | — | PC1-10 | — |
| PPM002413 | PGS000868 (T2D_221) |
PSS001092| Ancestry Not Reported| 5,740 individuals |
PGP000214 | Aksit MA et al. J Clin Endocrinol Metab (2020) |
Reported Trait: Cystic-fibrosis related diabetes | HR: 1.285 | — | — | PCs(1-4), site of recruitment | — |
| PPM002414 | PGS000869 (T1D_48) |
PSS001092| Ancestry Not Reported| 5,740 individuals |
PGP000214 | Aksit MA et al. J Clin Endocrinol Metab (2020) |
Reported Trait: Cystic-fibrosis related diabetes | HR: 1.077 | — | — | PCs(1-4), site of recruitment | — |
| PPM002418 | PGS000872 (PRS-5) |
PSS001096| European Ancestry| 364,048 individuals |
PGP000215 | Bianco C et al. J Hepatol (2020) |
Reported Trait: Cirrhosis | OR: 4.4 [3.5, 5.6] | — | — | — | — |
| PPM002420 | PGS000872 (PRS-5) |
PSS001096| European Ancestry| 364,048 individuals |
PGP000215 | Bianco C et al. J Hepatol (2020) |
Reported Trait: Cirrhosis | OR: 4.5 [3.6, 5.7] | — | — | Age, sex, body mass index, type 2 diabetes, PCs(1-10), array batch, assessment centre | — |
| PPM002432 | PGS000872 (PRS-5) |
PSS001094| European Ancestry| 2,564 individuals |
PGP000215 | Bianco C et al. J Hepatol (2020) |
Reported Trait: Severe fibrosis in individuals within stage F3-F4 of fatty liver disease | OR: 9.4 [5.4, 16.2] | — | — | Age, sex, body mass index, type 2 diabetes | — |
| PPM002419 | PGS000872 (PRS-5) |
PSS001096| European Ancestry| 364,048 individuals |
PGP000215 | Bianco C et al. J Hepatol (2020) |
Reported Trait: Hepatocellular carcinoma | OR: 11.9 [6.6, 21.3] | — | — | — | — |
| PPM002421 | PGS000872 (PRS-5) |
PSS001096| European Ancestry| 364,048 individuals |
PGP000215 | Bianco C et al. J Hepatol (2020) |
Reported Trait: Hepatocellular carcinoma | OR: 11.7 [6.54, 21.0] | — | — | Age, sex, body mass index, type 2 diabetes, PCs(1-10), array batch, assessment centre | — |
| PPM002422 | PGS000872 (PRS-5) |
PSS001096| European Ancestry| 364,048 individuals |
PGP000215 | Bianco C et al. J Hepatol (2020) |
Reported Trait: Hepatocellular carcinoma | OR: 4.8 [2.6, 8.9] | — | — | Age, sex, body mass index, type 2 diabetes, PCs(1-10), array batch, assessment centre, diagnosis of cirrhosis | — |
| PPM002428 | PGS000872 (PRS-5) |
PSS001094| European Ancestry| 2,564 individuals |
PGP000215 | Bianco C et al. J Hepatol (2020) |
Reported Trait: Fatty liver disease | OR: 9.0 [6.0, 13.4] | — | — | — | — |
| PPM002429 | PGS000872 (PRS-5) |
PSS001094| European Ancestry| 2,564 individuals |
PGP000215 | Bianco C et al. J Hepatol (2020) |
Reported Trait: Severe fibrosis in individuals within stage F3-F4 of fatty liver disease | OR: 12.6 [8.2, 19.3] | — | — | — | — |
| PPM002430 | PGS000872 (PRS-5) |
PSS001094| European Ancestry| 2,564 individuals |
PGP000215 | Bianco C et al. J Hepatol (2020) |
Reported Trait: Hepatocellular carcinoma | OR: 9.1 [5.2, 16.0] | — | — | — | — |
| PPM002431 | PGS000872 (PRS-5) |
PSS001094| European Ancestry| 2,564 individuals |
PGP000215 | Bianco C et al. J Hepatol (2020) |
Reported Trait: Fatty liver disease | OR: 10.7 [6.6, 17.3] | — | — | Age, sex, body mass index, type 2 diabetes | — |
| PPM002433 | PGS000872 (PRS-5) |
PSS001094| European Ancestry| 2,564 individuals |
PGP000215 | Bianco C et al. J Hepatol (2020) |
Reported Trait: Hepatocellular carcinoma | OR: 3.3 [1.6, 6.9] | — | — | Age, sex, body mass index, type 2 diabetes | — |
| PPM002440 | PGS000872 (PRS-5) |
PSS001094| European Ancestry| 2,564 individuals |
PGP000215 | Bianco C et al. J Hepatol (2020) |
Reported Trait: Hepatocellular carcinoma | OR: 2.9 [2.1, 3.8] | AUROC: 0.65 | — | Age, sex, body mass index, type 2 diabetes | Only 2,245 participants were available for this analysis. |
| PPM002443 | PGS000872 (PRS-5) |
PSS001097| European Ancestry| 356,943 individuals |
PGP000215 | Bianco C et al. J Hepatol (2020) |
Reported Trait: Hepatocellular carcinoma | OR: 3.4 [2.5, 4.7] | AUROC: 0.63 | — | Age, sex, body mass index, type 2 diabetes, PCs(1-10), array batch, assessment centre | PRS-5 was treated as a binary variable with a cutoff of ≥0.495 |
| PPM002445 | PGS000872 (PRS-5) |
PSS001101| European Ancestry| 355,450 individuals |
PGP000215 | Bianco C et al. J Hepatol (2020) |
Reported Trait: Hepatocellular carcinoma in individuals with no cirrhosis | OR: 1.9 [1.1, 3.2] | AUROC: 0.54 | — | Age, sex, body mass index, type 2 diabetes, PCs(1-10), array batch, assessment centre | PRS-5 was treated as a binary variable with a cutoff of ≥0.495 |
| PPM002447 | PGS000872 (PRS-5) |
PSS001098| European Ancestry| 85,890 individuals |
PGP000215 | Bianco C et al. J Hepatol (2020) |
Reported Trait: Hepatocellular carcinoma in individuals with a body mass index ≥30 | OR: 5.5 [3.6, 8.5] | AUROC: 0.69 | — | Age, sex, body mass index, type 2 diabetes, PCs(1-10), array batch, assessment centre | PRS-5 was treated as a binary variable with a cutoff of ≥0.495 |
| PPM002449 | PGS000872 (PRS-5) |
PSS001103| European Ancestry| 25,039 individuals |
PGP000215 | Bianco C et al. J Hepatol (2020) |
Reported Trait: Hepatocellular carcinoma in individuals with type 2 diabetes | OR: 4.6 [2.9, 7.3] | AUROC: 0.71 | — | Age, sex, body mass index, type 2 diabetes, PCs(1-10), array batch, assessment centre | PRS-5 was treated as a binary variable with a cutoff of ≥0.495 |
| PPM002451 | PGS000872 (PRS-5) |
PSS001095| Ancestry Not Reported| 429 individuals |
PGP000215 | Bianco C et al. J Hepatol (2020) |
Reported Trait: Hepatocellular carcinoma | OR: 8.61 [3.31, 22.37] | AUROC: 0.65 | — | — | — |
| PPM002453 | PGS000872 (PRS-5) |
PSS001095| Ancestry Not Reported| 429 individuals |
PGP000215 | Bianco C et al. J Hepatol (2020) |
Reported Trait: Hepatocellular carcinoma | OR: 6.36 [1.67, 24.31] | — | — | Age, sex, body mass index, type 2 diabetes | — |
| PPM002455 | PGS000872 (PRS-5) |
PSS001095| Ancestry Not Reported| 429 individuals |
PGP000215 | Bianco C et al. J Hepatol (2020) |
Reported Trait: Hepatocellular carcinoma | OR: 2.4 [1.19, 4.83] | — | — | — | PRS-5 was treated as a binary variable with a cutoff of ≥0.495 |
| PPM019102 | PGS000872 (PRS-5) |
PSS011182| European Ancestry| 381,825 individuals |
PGP000505 | Liu Z et al. Liver Int (2023) |Ext. |
Reported Trait: Non-alcoholic fatty liver disease | — | — | p-value (inferior to): 0.001 | age, sex, ethnicity, Townsend deprivation index (quintiles), education level, household income, employment status, self-reported smoking status, self-reported frequency of alcohol intake, sedentary behaviour, body mass index, baseline diabetes, baseline hypertension, serum triglyceride level, C-reactive protein level, and eGFR | — |
| PPM019103 | PGS000872 (PRS-5) |
PSS011182| European Ancestry| 381,825 individuals |
PGP000505 | Liu Z et al. Liver Int (2023) |Ext. |
Reported Trait: Severe liver disease | — | — | p-value (inferior to): 0.001 | age, sex, ethnicity, Townsend deprivation index (quintiles), education level, household income, employment status, self-reported smoking status, self-reported frequency of alcohol intake, sedentary behaviour, body mass index, baseline diabetes, baseline hypertension, serum triglyceride level, C-reactive protein level, and eGFR | — |
| PPM019104 | PGS000872 (PRS-5) |
PSS011182| European Ancestry| 381,825 individuals |
PGP000505 | Liu Z et al. Liver Int (2023) |Ext. |
Reported Trait: Serum uric acid levels x PRS interaction for liver disease | HR: 1.03 [1.01, 1.05] | — | — | age, sex, ethnicity, Townsend deprivation index (quintiles), education level, household income, employment status, self-reported smoking status, self-reported frequency of alcohol intake, sedentary behaviour, body mass index, baseline diabetes, baseline hypertension, serum triglyceride level, C-reactive protein level, and eGFR | — |
| PPM019105 | PGS000872 (PRS-5) |
PSS011182| European Ancestry| 381,825 individuals |
PGP000505 | Liu Z et al. Liver Int (2023) |Ext. |
Reported Trait: Serum uric acid levels x PRS interaction for severe liver disease | HR: 1.06 [1.03, 1.1] | — | — | age, sex, ethnicity, Townsend deprivation index (quintiles), education level, household income, employment status, self-reported smoking status, self-reported frequency of alcohol intake, sedentary behaviour, body mass index, baseline diabetes, baseline hypertension, serum triglyceride level, C-reactive protein level, and eGFR | — |
| PPM019101 | PGS000872 (PRS-5) |
PSS011182| European Ancestry| 381,825 individuals |
PGP000505 | Liu Z et al. Liver Int (2023) |Ext. |
Reported Trait: Liver disease | — | — | p-value (inferior to): 0.001 | age, sex, ethnicity, Townsend deprivation index (quintiles), education level, household income, employment status, self-reported smoking status, self-reported frequency of alcohol intake, sedentary behaviour, body mass index, baseline diabetes, baseline hypertension, serum triglyceride level, C-reactive protein level, and eGFR | — |
| PPM021276 | PGS000872 (PRS-5) |
PSS011674| European Ancestry| 5,209 individuals |
PGP000622 | Åberg F et al. Liver Int (2023) |Ext. |
Reported Trait: Liver-related hospitalization, hepatocellular cancer or liver-related death | HR: 5.05 [1.55, 16.5] | — | — | Enhanced liver fibrosis (ELF) test, chronic liver disease (CLivD) score | PGS did not increase predictive performance over ELF test + CLivD score |
| PPM007743 | PGS000996 (GBE_HC262) |
PSS004389| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Diverticular disease/diverticulitis | — | AUROC: 0.86271 [0.73099, 0.99443] | R²: 0.12936 Incremental AUROC (full-covars): 0.00213 PGS R2 (no covariates): 0.00894 PGS AUROC (no covariates): 0.62053 [0.46342, 0.77764] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007744 | PGS000996 (GBE_HC262) |
PSS004390| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Diverticular disease/diverticulitis | — | AUROC: 0.91481 [0.74874, 1.0] | R²: 0.2785 Incremental AUROC (full-covars): 0.00029 PGS R2 (no covariates): 0.03618 PGS AUROC (no covariates): 0.74736 [0.4992, 0.99551] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007745 | PGS000996 (GBE_HC262) |
PSS004391| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Diverticular disease/diverticulitis | — | AUROC: 0.70041 [0.67086, 0.72996] | R²: 0.04948 Incremental AUROC (full-covars): 0.0039 PGS R2 (no covariates): 0.00095 PGS AUROC (no covariates): 0.52419 [0.48988, 0.55849] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007746 | PGS000996 (GBE_HC262) |
PSS004392| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Diverticular disease/diverticulitis | — | AUROC: 0.80455 [0.70545, 0.90364] | R²: 0.1 Incremental AUROC (full-covars): 0.00844 PGS R2 (no covariates): 0.00928 PGS AUROC (no covariates): 0.62862 [0.53202, 0.72522] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007747 | PGS000996 (GBE_HC262) |
PSS004393| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Diverticular disease/diverticulitis | — | AUROC: 0.67555 [0.65884, 0.69227] | R²: 0.03898 Incremental AUROC (full-covars): 0.00841 PGS R2 (no covariates): 0.00372 PGS AUROC (no covariates): 0.55186 [0.53326, 0.57047] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007748 | PGS000997 (GBE_HC1106) |
PSS004124| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE diverticular disease of intestine | — | AUROC: 0.70831 [0.67789, 0.73873] | R²: 0.07998 Incremental AUROC (full-covars): -0.0081 PGS R2 (no covariates): 0.00158 PGS AUROC (no covariates): 0.52939 [0.49423, 0.56454] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007749 | PGS000997 (GBE_HC1106) |
PSS004125| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE diverticular disease of intestine | — | AUROC: 0.75551 [0.65982, 0.85119] | R²: 0.08781 Incremental AUROC (full-covars): -0.01168 PGS R2 (no covariates): 0.00059 PGS AUROC (no covariates): 0.52785 [0.41459, 0.64111] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007750 | PGS000997 (GBE_HC1106) |
PSS004126| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE diverticular disease of intestine | — | AUROC: 0.7155 [0.70514, 0.72586] | R²: 0.10502 Incremental AUROC (full-covars): 0.01733 PGS R2 (no covariates): 0.01777 PGS AUROC (no covariates): 0.59105 [0.57889, 0.60321] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007751 | PGS000997 (GBE_HC1106) |
PSS004127| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE diverticular disease of intestine | — | AUROC: 0.73365 [0.70818, 0.75911] | R²: 0.09377 Incremental AUROC (full-covars): 0.01275 PGS R2 (no covariates): 0.01222 PGS AUROC (no covariates): 0.57957 [0.54784, 0.6113] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007752 | PGS000997 (GBE_HC1106) |
PSS004128| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE diverticular disease of intestine | — | AUROC: 0.68053 [0.67412, 0.68694] | R²: 0.07483 Incremental AUROC (full-covars): 0.01974 PGS R2 (no covariates): 0.01533 PGS AUROC (no covariates): 0.5794 [0.57219, 0.58662] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007833 | PGS001014 (GBE_HC654) |
PSS004585| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other disorders of pancreatic internal secretion | — | AUROC: 0.65665 [0.58207, 0.73122] | R²: 0.03396 Incremental AUROC (full-covars): -0.00764 PGS R2 (no covariates): 0.00359 PGS AUROC (no covariates): 0.4188 [0.34373, 0.49387] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007834 | PGS001014 (GBE_HC654) |
PSS004586| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other disorders of pancreatic internal secretion | — | AUROC: 0.86357 [0.7171, 1.0] | R²: 0.15881 Incremental AUROC (full-covars): -0.01283 PGS R2 (no covariates): 0.02019 PGS AUROC (no covariates): 0.35821 [0.13039, 0.58603] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007835 | PGS001014 (GBE_HC654) |
PSS004587| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other disorders of pancreatic internal secretion | — | AUROC: 0.64476 [0.60172, 0.6878] | R²: 0.02426 Incremental AUROC (full-covars): -0.00192 PGS R2 (no covariates): 0.00131 PGS AUROC (no covariates): 0.52076 [0.4675, 0.57402] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007836 | PGS001014 (GBE_HC654) |
PSS004588| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other disorders of pancreatic internal secretion | — | AUROC: 0.73516 [0.68282, 0.7875] | R²: 0.07572 Incremental AUROC (full-covars): -0.00172 PGS R2 (no covariates): 0.00033 PGS AUROC (no covariates): 0.50209 [0.4372, 0.56698] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007837 | PGS001014 (GBE_HC654) |
PSS004589| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other disorders of pancreatic internal secretion | — | AUROC: 0.63289 [0.60549, 0.66029] | R²: 0.01894 Incremental AUROC (full-covars): 0.01617 PGS R2 (no covariates): 0.00452 PGS AUROC (no covariates): 0.55692 [0.52735, 0.58649] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008580 | PGS001174 (GBE_HC1125) |
PSS004139| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE cholelithiasis | — | AUROC: 0.69202 [0.6517, 0.73234] | R²: 0.05473 Incremental AUROC (full-covars): 0.01651 PGS R2 (no covariates): 0.00765 PGS AUROC (no covariates): 0.56963 [0.52438, 0.61487] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008581 | PGS001174 (GBE_HC1125) |
PSS004140| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE cholelithiasis | — | AUROC: 0.69749 [0.6348, 0.76018] | R²: 0.06838 Incremental AUROC (full-covars): 0.01442 PGS R2 (no covariates): 0.00347 PGS AUROC (no covariates): 0.557 [0.48585, 0.62815] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008582 | PGS001174 (GBE_HC1125) |
PSS004141| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE cholelithiasis | — | AUROC: 0.66706 [0.6514, 0.68272] | R²: 0.05295 Incremental AUROC (full-covars): 0.04311 PGS R2 (no covariates): 0.02808 PGS AUROC (no covariates): 0.62342 [0.60688, 0.63996] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008583 | PGS001174 (GBE_HC1125) |
PSS004142| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE cholelithiasis | — | AUROC: 0.68516 [0.65563, 0.7147] | R²: 0.05864 Incremental AUROC (full-covars): 0.01084 PGS R2 (no covariates): 0.00661 PGS AUROC (no covariates): 0.55746 [0.52498, 0.58993] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008584 | PGS001174 (GBE_HC1125) |
PSS004143| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE cholelithiasis | — | AUROC: 0.67421 [0.66558, 0.68284] | R²: 0.05848 Incremental AUROC (full-covars): 0.04052 PGS R2 (no covariates): 0.02571 PGS AUROC (no covariates): 0.61632 [0.60704, 0.62561] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008785 | PGS001256 (GBE_HC188) |
PSS004334| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Gallstones | — | AUROC: 0.68692 [0.64329, 0.73056] | R²: 0.04974 Incremental AUROC (full-covars): 0.02029 PGS R2 (no covariates): 0.00785 PGS AUROC (no covariates): 0.56814 [0.51821, 0.61807] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008786 | PGS001256 (GBE_HC188) |
PSS004335| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Gallstones | — | AUROC: 0.67793 [0.60585, 0.75001] | R²: 0.06195 Incremental AUROC (full-covars): 0.00834 PGS R2 (no covariates): 0.00064 PGS AUROC (no covariates): 0.52583 [0.44852, 0.60314] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008787 | PGS001256 (GBE_HC188) |
PSS004336| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Gallstones | — | AUROC: 0.66809 [0.65163, 0.68454] | R²: 0.05165 Incremental AUROC (full-covars): 0.04397 PGS R2 (no covariates): 0.0275 PGS AUROC (no covariates): 0.62496 [0.60759, 0.64234] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008788 | PGS001256 (GBE_HC188) |
PSS004337| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Gallstones | — | AUROC: 0.68743 [0.65645, 0.71841] | R²: 0.0581 Incremental AUROC (full-covars): 0.01295 PGS R2 (no covariates): 0.00775 PGS AUROC (no covariates): 0.56733 [0.53369, 0.60096] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008789 | PGS001256 (GBE_HC188) |
PSS004338| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Gallstones | — | AUROC: 0.67227 [0.66315, 0.68138] | R²: 0.05484 Incremental AUROC (full-covars): 0.04156 PGS R2 (no covariates): 0.02494 PGS AUROC (no covariates): 0.6171 [0.6073, 0.6269] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008938 | PGS001288 (GBE_HC95) |
PSS004741| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Inflammatory bowel disease | — | AUROC: 0.64251 [0.54711, 0.73791] | R²: 0.05914 Incremental AUROC (full-covars): 0.00245 PGS R2 (no covariates): 0.00027 PGS AUROC (no covariates): 0.52101 [0.42335, 0.61867] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008939 | PGS001288 (GBE_HC95) |
PSS004742| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Inflammatory bowel disease | — | AUROC: 0.89429 [0.79091, 0.99767] | R²: 0.2051 Incremental AUROC (full-covars): -0.0033 PGS R2 (no covariates): 0.0 PGS AUROC (no covariates): 0.48687 [0.28135, 0.6924] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008940 | PGS001288 (GBE_HC95) |
PSS004743| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Inflammatory bowel disease | — | AUROC: 0.63478 [0.60168, 0.66787] | R²: 0.02287 Incremental AUROC (full-covars): 0.02492 PGS R2 (no covariates): 0.0102 PGS AUROC (no covariates): 0.58475 [0.55242, 0.61708] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008941 | PGS001288 (GBE_HC95) |
PSS004744| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Inflammatory bowel disease | — | AUROC: 0.66934 [0.62525, 0.71343] | R²: 0.03759 Incremental AUROC (full-covars): 0.004 PGS R2 (no covariates): 0.00311 PGS AUROC (no covariates): 0.55448 [0.50125, 0.6077] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008942 | PGS001288 (GBE_HC95) |
PSS004745| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Inflammatory bowel disease | — | AUROC: 0.59461 [0.57544, 0.61378] | R²: 0.01221 Incremental AUROC (full-covars): 0.06405 PGS R2 (no covariates): 0.01191 PGS AUROC (no covariates): 0.59586 [0.5768, 0.61492] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008963 | PGS001293 (GBE_HC1123) |
PSS004134| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other diseases of liver | — | AUROC: 0.63246 [0.57311, 0.69181] | R²: 0.03109 Incremental AUROC (full-covars): -0.0062 PGS R2 (no covariates): 0.0 PGS AUROC (no covariates): 0.50545 [0.44895, 0.56196] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008964 | PGS001293 (GBE_HC1123) |
PSS004135| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other diseases of liver | — | AUROC: 0.69904 [0.62545, 0.77263] | PGS R2 (no covariates): 0.01113 Incremental AUROC (full-covars): 0.02137 R²: 0.05749 PGS AUROC (no covariates): 0.60324 [0.52305, 0.68342] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008965 | PGS001293 (GBE_HC1123) |
PSS004136| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other diseases of liver | — | AUROC: 0.63842 [0.61377, 0.66307] | R²: 0.02524 Incremental AUROC (full-covars): 0.02435 PGS R2 (no covariates): 0.01187 PGS AUROC (no covariates): 0.59189 [0.56464, 0.61913] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008966 | PGS001293 (GBE_HC1123) |
PSS004137| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other diseases of liver | — | AUROC: 0.60451 [0.56674, 0.64227] | R²: 0.01731 Incremental AUROC (full-covars): 0.00746 PGS R2 (no covariates): 0.00179 PGS AUROC (no covariates): 0.53523 [0.49417, 0.57629] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008967 | PGS001293 (GBE_HC1123) |
PSS004138| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other diseases of liver | — | AUROC: 0.58372 [0.56726, 0.60017] | R²: 0.00961 Incremental AUROC (full-covars): 0.01977 PGS R2 (no covariates): 0.00443 PGS AUROC (no covariates): 0.5536 [0.53634, 0.57086] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008968 | PGS001294 (GBE_HC649) |
PSS004575| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE non-insulin-dependent diabetes mellitus | — | AUROC: 0.70052 [0.68094, 0.7201] | R²: 0.10493 Incremental AUROC (full-covars): 0.00213 PGS R2 (no covariates): 0.00615 PGS AUROC (no covariates): 0.54526 [0.52378, 0.56673] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008969 | PGS001294 (GBE_HC649) |
PSS004576| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE non-insulin-dependent diabetes mellitus | — | AUROC: 0.75536 [0.71488, 0.79584] | R²: 0.1242 Incremental AUROC (full-covars): 0.01544 PGS R2 (no covariates): 0.01604 PGS AUROC (no covariates): 0.5808 [0.52621, 0.63538] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008970 | PGS001294 (GBE_HC649) |
PSS004577| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE non-insulin-dependent diabetes mellitus | — | AUROC: 0.72888 [0.71557, 0.7422] | R²: 0.10344 Incremental AUROC (full-covars): 0.03534 PGS R2 (no covariates): 0.03413 PGS AUROC (no covariates): 0.63582 [0.62119, 0.65045] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008971 | PGS001294 (GBE_HC649) |
PSS004578| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE non-insulin-dependent diabetes mellitus | — | AUROC: 0.68707 [0.67293, 0.70121] | R²: 0.11343 Incremental AUROC (full-covars): 0.01724 PGS R2 (no covariates): 0.02384 PGS AUROC (no covariates): 0.58532 [0.56986, 0.60078] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008972 | PGS001294 (GBE_HC649) |
PSS004579| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE non-insulin-dependent diabetes mellitus | — | AUROC: 0.71038 [0.70256, 0.71821] | R²: 0.08854 Incremental AUROC (full-covars): 0.04133 PGS R2 (no covariates): 0.03493 PGS AUROC (no covariates): 0.63323 [0.62453, 0.64194] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008973 | PGS001295 (GBE_HC165) |
PSS004312| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.68145 [0.62426, 0.73864] | R²: 0.04466 Incremental AUROC (full-covars): 0.00427 PGS R2 (no covariates): 0.00162 PGS AUROC (no covariates): 0.5359 [0.47698, 0.59482] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008974 | PGS001295 (GBE_HC165) |
PSS004313| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.83509 [0.71831, 0.95186] | R²: 0.20575 Incremental AUROC (full-covars): -0.00085 PGS R2 (no covariates): 0.00265 PGS AUROC (no covariates): 0.56328 [0.47919, 0.64736] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008975 | PGS001295 (GBE_HC165) |
PSS004314| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.69318 [0.65625, 0.73011] | R²: 0.04603 Incremental AUROC (full-covars): 0.0115 PGS R2 (no covariates): 0.00675 PGS AUROC (no covariates): 0.58258 [0.54116, 0.62401] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008976 | PGS001295 (GBE_HC165) |
PSS004315| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.65806 [0.61856, 0.69756] | R²: 0.0392 Incremental AUROC (full-covars): 0.01243 PGS R2 (no covariates): 0.00618 PGS AUROC (no covariates): 0.5613 [0.5184, 0.60421] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008977 | PGS001295 (GBE_HC165) |
PSS004316| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.68247 [0.66155, 0.70338] | R²: 0.03772 Incremental AUROC (full-covars): 0.01405 PGS R2 (no covariates): 0.00633 PGS AUROC (no covariates): 0.57592 [0.55208, 0.59975] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008978 | PGS001296 (GBE_HC648) |
PSS004570| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE insulin-dependent diabetes mellitus | — | AUROC: 0.66885 [0.62172, 0.71599] | R²: 0.04054 Incremental AUROC (full-covars): -0.01128 PGS R2 (no covariates): 0.00021 PGS AUROC (no covariates): 0.51906 [0.4689, 0.56923] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008979 | PGS001296 (GBE_HC648) |
PSS004571| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE insulin-dependent diabetes mellitus | — | AUROC: 0.89264 [0.80447, 0.98081] | R²: 0.19006 Incremental AUROC (full-covars): -0.01413 PGS R2 (no covariates): 0.00422 PGS AUROC (no covariates): 0.43531 [0.15162, 0.71901] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008980 | PGS001296 (GBE_HC648) |
PSS004572| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE insulin-dependent diabetes mellitus | — | AUROC: 0.70536 [0.66494, 0.74577] | R²: 0.0607 Incremental AUROC (full-covars): 0.12077 PGS R2 (no covariates): 0.05496 PGS AUROC (no covariates): 0.68941 [0.64672, 0.73209] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008981 | PGS001296 (GBE_HC648) |
PSS004573| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE insulin-dependent diabetes mellitus | — | AUROC: 0.67679 [0.6379, 0.71568] | R²: 0.04266 Incremental AUROC (full-covars): -0.01593 PGS R2 (no covariates): 0.0016 PGS AUROC (no covariates): 0.54249 [0.49552, 0.58946] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008982 | PGS001296 (GBE_HC648) |
PSS004574| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE insulin-dependent diabetes mellitus | — | AUROC: 0.65986 [0.63673, 0.68299] | R²: 0.03385 Incremental AUROC (full-covars): 0.06785 PGS R2 (no covariates): 0.02496 PGS AUROC (no covariates): 0.62694 [0.60131, 0.65256] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008983 | PGS001297 (GBE_HC337) |
PSS004457| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.78146 [0.64554, 0.91738] | R²: 0.08635 Incremental AUROC (full-covars): -0.05504 PGS R2 (no covariates): 0.00185 PGS AUROC (no covariates): 0.41884 [0.19064, 0.64704] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008984 | PGS001297 (GBE_HC337) |
PSS004458| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.79737 [0.708, 0.88674] | R²: 0.11683 Incremental AUROC (full-covars): 0.09636 PGS R2 (no covariates): 0.0912 PGS AUROC (no covariates): 0.77118 [0.67108, 0.87128] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008985 | PGS001297 (GBE_HC337) |
PSS004459| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.81031 [0.66359, 0.95703] | R²: 0.06825 Incremental AUROC (full-covars): -0.01908 PGS R2 (no covariates): 6e-05 PGS AUROC (no covariates): 0.53853 [0.37761, 0.69945] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008986 | PGS001297 (GBE_HC337) |
PSS004460| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.7643 [0.7041, 0.8245] | R²: 0.06625 Incremental AUROC (full-covars): 0.19149 PGS R2 (no covariates): 0.06103 PGS AUROC (no covariates): 0.76543 [0.70744, 0.82342] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008997 | PGS001300 (GBE_BIN21068) |
PSS003667| African Ancestry| 969 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | AUROC: 0.77521 [0.67165, 0.87877] | R²: 0.10494 Incremental AUROC (full-covars): 0.00391 PGS R2 (no covariates): 0.00465 PGS AUROC (no covariates): 0.54048 [0.39518, 0.68579] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008998 | PGS001300 (GBE_BIN21068) |
PSS003668| European Ancestry| 9,024 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | AUROC: 0.67118 [0.63561, 0.70676] | R²: 0.04801 Incremental AUROC (full-covars): 0.03638 PGS R2 (no covariates): 0.02217 PGS AUROC (no covariates): 0.58541 [0.54195, 0.62888] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008999 | PGS001300 (GBE_BIN21068) |
PSS003669| South Asian Ancestry| 1,145 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | AUROC: 0.78803 [0.69728, 0.87878] | R²: 0.09336 Incremental AUROC (full-covars): 0.00365 PGS R2 (no covariates): 0.00127 PGS AUROC (no covariates): 0.56184 [0.43287, 0.6908] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009000 | PGS001300 (GBE_BIN21068) |
PSS003670| European Ancestry| 24,310 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | AUROC: 0.6734 [0.64935, 0.69745] | R²: 0.04185 Incremental AUROC (full-covars): 0.08398 PGS R2 (no covariates): 0.02957 PGS AUROC (no covariates): 0.62888 [0.60094, 0.65683] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009001 | PGS001301 (GBE_HC303) |
PSS004423| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Malabsorption/coeliac disease | — | AUROC: 0.84259 [0.73437, 0.95081] | R²: 0.12308 Incremental AUROC (full-covars): 0.02463 PGS R2 (no covariates): 0.03018 PGS AUROC (no covariates): 0.68151 [0.48835, 0.87467] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009002 | PGS001301 (GBE_HC303) |
PSS004424| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Malabsorption/coeliac disease | — | AUROC: 0.81472 [0.7798, 0.84965] | R²: 0.15108 Incremental AUROC (full-covars): 0.1791 PGS R2 (no covariates): 0.14221 PGS AUROC (no covariates): 0.80994 [0.77441, 0.84547] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009003 | PGS001301 (GBE_HC303) |
PSS004425| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Malabsorption/coeliac disease | — | AUROC: 0.81699 [0.73267, 0.9013] | R²: 0.11397 Incremental AUROC (full-covars): 0.06035 PGS R2 (no covariates): 0.07098 PGS AUROC (no covariates): 0.76239 [0.65258, 0.87221] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009004 | PGS001301 (GBE_HC303) |
PSS004426| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Malabsorption/coeliac disease | — | AUROC: 0.83351 [0.81372, 0.85329] | R²: 0.14905 Incremental AUROC (full-covars): 0.25775 PGS R2 (no covariates): 0.14224 PGS AUROC (no covariates): 0.82867 [0.80826, 0.84908] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009024 | PGS001306 (GBE_HC201) |
PSS004339| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Ulcerative colitis | — | AUROC: 0.62904 [0.5093, 0.74878] | R²: 0.04535 Incremental AUROC (full-covars): -0.00864 PGS R2 (no covariates): 0.00044 PGS AUROC (no covariates): 0.51081 [0.37987, 0.64174] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009025 | PGS001306 (GBE_HC201) |
PSS004340| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Ulcerative colitis | — | AUROC: 0.89429 [0.79357, 0.99502] | R²: 0.20499 Incremental AUROC (full-covars): -0.0033 PGS R2 (no covariates): 2e-05 PGS AUROC (no covariates): 0.49111 [0.35854, 0.62368] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009026 | PGS001306 (GBE_HC201) |
PSS004341| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Ulcerative colitis | — | AUROC: 0.66162 [0.6277, 0.69554] | R²: 0.03336 Incremental AUROC (full-covars): 0.04247 PGS R2 (no covariates): 0.02036 PGS AUROC (no covariates): 0.63006 [0.5958, 0.66432] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009027 | PGS001306 (GBE_HC201) |
PSS004342| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Ulcerative colitis | — | AUROC: 0.67522 [0.62537, 0.72506] | R²: 0.03696 Incremental AUROC (full-covars): 0.01011 PGS R2 (no covariates): 0.00545 PGS AUROC (no covariates): 0.56552 [0.50815, 0.62289] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009028 | PGS001306 (GBE_HC201) |
PSS004343| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Ulcerative colitis | — | AUROC: 0.6157 [0.59481, 0.63659] | PGS R2 (no covariates): 0.0193 R²: 0.01676 Incremental AUROC (full-covars): 0.08728 PGS AUROC (no covariates): 0.62452 [0.60374, 0.6453] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009029 | PGS001307 (GBE_HC1102) |
PSS004119| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE ulcerative colitis | — | AUROC: 0.62873 [0.51002, 0.74744] | R²: 0.04344 Incremental AUROC (full-covars): -0.00895 PGS R2 (no covariates): 0.00027 PGS AUROC (no covariates): 0.50641 [0.39121, 0.62161] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009030 | PGS001307 (GBE_HC1102) |
PSS004120| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE ulcerative colitis | — | AUROC: 0.89582 [0.79576, 0.99588] | R²: 0.20607 Incremental AUROC (full-covars): -0.00177 PGS R2 (no covariates): 0.00203 PGS AUROC (no covariates): 0.55433 [0.4473, 0.66136] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009031 | PGS001307 (GBE_HC1102) |
PSS004121| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE ulcerative colitis | — | AUROC: 0.65578 [0.62353, 0.68804] | R²: 0.03272 Incremental AUROC (full-covars): 0.04212 PGS R2 (no covariates): 0.0169 PGS AUROC (no covariates): 0.6106 [0.57717, 0.64402] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009032 | PGS001307 (GBE_HC1102) |
PSS004122| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE ulcerative colitis | — | AUROC: 0.66008 [0.61042, 0.70974] | R²: 0.03192 Incremental AUROC (full-covars): 0.00203 PGS R2 (no covariates): 0.0036 PGS AUROC (no covariates): 0.55808 [0.506, 0.61016] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009033 | PGS001307 (GBE_HC1102) |
PSS004123| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE ulcerative colitis | — | AUROC: 0.63965 [0.62036, 0.65895] | R²: 0.02376 Incremental AUROC (full-covars): 0.1085 PGS R2 (no covariates): 0.02383 PGS AUROC (no covariates): 0.63847 [0.61861, 0.65833] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009034 | PGS001308 (GBE_HC321) |
PSS004437| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Sjogren's syndrome/sicca syndrome | — | AUROC: 0.79846 [0.71474, 0.88218] | R²: 0.07345 Incremental AUROC (full-covars): 0.0079 PGS R2 (no covariates): 0.01471 PGS AUROC (no covariates): 0.59027 [0.45551, 0.72504] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009035 | PGS001308 (GBE_HC321) |
PSS004438| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Sjogren's syndrome/sicca syndrome | — | AUROC: 0.75824 [0.55089, 0.96558] | R²: 0.05686 Incremental AUROC (full-covars): 0.00691 PGS R2 (no covariates): 0.0091 PGS AUROC (no covariates): 0.69794 [0.63241, 0.76347] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009036 | PGS001308 (GBE_HC321) |
PSS004439| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Sjogren's syndrome/sicca syndrome | — | AUROC: 0.77174 [0.71988, 0.82361] | R²: 0.07435 Incremental AUROC (full-covars): 0.01461 PGS R2 (no covariates): 0.01453 PGS AUROC (no covariates): 0.65693 [0.58901, 0.72485] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009037 | PGS001308 (GBE_HC321) |
PSS004440| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Sjogren's syndrome/sicca syndrome | — | AUROC: 0.8014 [0.74455, 0.85826] | R²: 0.08893 Incremental AUROC (full-covars): 0.00953 PGS R2 (no covariates): 0.03189 PGS AUROC (no covariates): 0.61034 [0.48809, 0.73259] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009038 | PGS001308 (GBE_HC321) |
PSS004441| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Sjogren's syndrome/sicca syndrome | — | AUROC: 0.73313 [0.69647, 0.76978] | R²: 0.04771 Incremental AUROC (full-covars): 0.01551 PGS R2 (no covariates): 0.01074 PGS AUROC (no covariates): 0.60303 [0.55292, 0.65315] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009122 | PGS001327 (GBE_HC221) |
PSS004359| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Diabetes | — | AUROC: 0.68586 [0.66802, 0.7037] | R²: 0.09776 Incremental AUROC (full-covars): 0.00638 PGS R2 (no covariates): 0.00926 PGS AUROC (no covariates): 0.55541 [0.53643, 0.5744] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009123 | PGS001327 (GBE_HC221) |
PSS004360| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Diabetes | — | AUROC: 0.69569 [0.64958, 0.7418] | R²: 0.08294 Incremental AUROC (full-covars): 0.01187 PGS R2 (no covariates): 0.01141 PGS AUROC (no covariates): 0.56178 [0.51127, 0.61228] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009124 | PGS001327 (GBE_HC221) |
PSS004361| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Diabetes | — | AUROC: 0.70541 [0.69227, 0.71854] | R²: 0.08595 Incremental AUROC (full-covars): 0.04263 PGS R2 (no covariates): 0.03446 PGS AUROC (no covariates): 0.63125 [0.61738, 0.64511] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009125 | PGS001327 (GBE_HC221) |
PSS004362| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Diabetes | — | AUROC: 0.68746 [0.67395, 0.70097] | R²: 0.11895 Incremental AUROC (full-covars): 0.02618 PGS R2 (no covariates): 0.03527 PGS AUROC (no covariates): 0.60108 [0.5865, 0.61565] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009126 | PGS001327 (GBE_HC221) |
PSS004363| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Diabetes | — | AUROC: 0.69818 [0.69047, 0.70589] | R²: 0.08111 Incremental AUROC (full-covars): 0.04455 PGS R2 (no covariates): 0.03558 PGS AUROC (no covariates): 0.63112 [0.6228, 0.63945] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009132 | PGS001329 (GBE_HC652) |
PSS004580| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE unspecified diabetes mellitus | — | AUROC: 0.69503 [0.67407, 0.716] | R²: 0.08972 Incremental AUROC (full-covars): 0.00332 PGS R2 (no covariates): 0.00713 PGS AUROC (no covariates): 0.55713 [0.53377, 0.58048] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009133 | PGS001329 (GBE_HC652) |
PSS004581| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE unspecified diabetes mellitus | — | AUROC: 0.70891 [0.65305, 0.76477] | R²: 0.09058 Incremental AUROC (full-covars): 0.02211 PGS R2 (no covariates): 0.02321 PGS AUROC (no covariates): 0.60847 [0.55016, 0.66678] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009134 | PGS001329 (GBE_HC652) |
PSS004582| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE unspecified diabetes mellitus | — | AUROC: 0.72437 [0.70887, 0.73987] | R²: 0.08424 Incremental AUROC (full-covars): 0.03715 PGS R2 (no covariates): 0.02619 PGS AUROC (no covariates): 0.62743 [0.60999, 0.64487] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009135 | PGS001329 (GBE_HC652) |
PSS004583| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE unspecified diabetes mellitus | — | AUROC: 0.70359 [0.68854, 0.71865] | R²: 0.11885 Incremental AUROC (full-covars): 0.02262 PGS R2 (no covariates): 0.02671 PGS AUROC (no covariates): 0.59807 [0.58121, 0.61493] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009136 | PGS001329 (GBE_HC652) |
PSS004584| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE unspecified diabetes mellitus | — | AUROC: 0.7046 [0.69521, 0.71399] | R²: 0.0749 Incremental AUROC (full-covars): 0.04078 PGS R2 (no covariates): 0.03024 PGS AUROC (no covariates): 0.63102 [0.62084, 0.64119] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009137 | PGS001330 (GBE_HC1101) |
PSS004114| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE crohn's disease [regional enteritis] | — | AUROC: 0.66243 [0.55234, 0.77252] | R²: 0.05286 Incremental AUROC (full-covars): -0.02175 PGS R2 (no covariates): 0.00138 PGS AUROC (no covariates): 0.46272 [0.36718, 0.55826] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009138 | PGS001330 (GBE_HC1101) |
PSS004115| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE crohn's disease [regional enteritis] | — | AUROC: 0.86369 [0.7806, 0.94678] | R²: 0.13339 Incremental AUROC (full-covars): 0.0 PGS R2 (no covariates): 0.14319 PGS AUROC (no covariates): 0.10664 [0.0, 0.28372] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009139 | PGS001330 (GBE_HC1101) |
PSS004116| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE crohn's disease [regional enteritis] | — | AUROC: 0.60269 [0.55209, 0.65328] | R²: 0.01102 Incremental AUROC (full-covars): 0.02413 PGS R2 (no covariates): 0.00621 PGS AUROC (no covariates): 0.57593 [0.52318, 0.62867] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009140 | PGS001330 (GBE_HC1101) |
PSS004117| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE crohn's disease [regional enteritis] | — | AUROC: 0.69933 [0.63548, 0.76318] | R²: 0.0344 Incremental AUROC (full-covars): 0.00201 PGS R2 (no covariates): 0.00147 PGS AUROC (no covariates): 0.53846 [0.46042, 0.6165] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009141 | PGS001330 (GBE_HC1101) |
PSS004118| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE crohn's disease [regional enteritis] | — | AUROC: 0.55852 [0.52842, 0.58862] | R²: 0.00474 Incremental AUROC (full-covars): 0.07412 PGS R2 (no covariates): 0.00669 PGS AUROC (no covariates): 0.5714 [0.54073, 0.60207] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009142 | PGS001331 (GBE_HC322) |
PSS004442| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Crohns disease | — | AUROC: 0.65892 [0.54485, 0.77299] | R²: 0.05502 Incremental AUROC (full-covars): -0.02526 PGS R2 (no covariates): 4e-05 PGS AUROC (no covariates): 0.49152 [0.37858, 0.60446] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009143 | PGS001331 (GBE_HC322) |
PSS004444| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Crohns disease | — | AUROC: 0.61269 [0.55802, 0.66736] | R²: 0.01161 Incremental AUROC (full-covars): 0.02705 PGS R2 (no covariates): 0.00677 PGS AUROC (no covariates): 0.57919 [0.52051, 0.63786] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009144 | PGS001331 (GBE_HC322) |
PSS004445| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Crohns disease | — | AUROC: 0.71 [0.64649, 0.7735] | R²: 0.03928 Incremental AUROC (full-covars): 0.01378 PGS R2 (no covariates): 0.00366 PGS AUROC (no covariates): 0.56349 [0.47905, 0.64793] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009145 | PGS001331 (GBE_HC322) |
PSS004446| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Crohns disease | — | AUROC: 0.56362 [0.53297, 0.59427] | R²: 0.00529 Incremental AUROC (full-covars): 0.06267 PGS R2 (no covariates): 0.0063 PGS AUROC (no covariates): 0.57326 [0.54246, 0.60406] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM005189 | PGS001357 (T2D_AnnoPred_PRS) |
PSS003606| European Ancestry| 178,138 individuals |
PGP000252 | Ye Y et al. Circ Genom Precis Med (2021) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.6446 | — | Age, sex, PCs(1-10) | — |
| PPM005205 | PGS001369 (GBE_HC1090) |
PSS004099| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE acute appendicitis | — | AUROC: 0.62041 [0.53518, 0.70564] | R²: 0.03016 Incremental AUROC (full-covars): -0.00198 PGS R2 (no covariates): 0.00105 PGS AUROC (no covariates): 0.47489 [0.37525, 0.57453] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM005206 | PGS001369 (GBE_HC1090) |
PSS004100| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE acute appendicitis | — | AUROC: 0.8493 [0.77779, 0.9208] | R²: 0.14577 Incremental AUROC (full-covars): 0.00105 PGS R2 (no covariates): 0.00332 PGS AUROC (no covariates): 0.51032 [0.33889, 0.68176] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM005207 | PGS001369 (GBE_HC1090) |
PSS004101| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE acute appendicitis | — | AUROC: 0.56849 [0.52835, 0.60862] | R²: 0.00702 Incremental AUROC (full-covars): -0.00219 PGS R2 (no covariates): 0.0 PGS AUROC (no covariates): 0.49616 [0.45378, 0.53854] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM005208 | PGS001369 (GBE_HC1090) |
PSS004102| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE acute appendicitis | — | AUROC: 0.72977 [0.65912, 0.80042] | Incremental AUROC (full-covars): 0.00039 PGS R2 (no covariates): 0.00096 R²: 0.05613 PGS AUROC (no covariates): 0.5334 [0.44427, 0.62254] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM005209 | PGS001369 (GBE_HC1090) |
PSS004103| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE acute appendicitis | — | AUROC: 0.57413 [0.55138, 0.59688] | R²: 0.00617 Incremental AUROC (full-covars): 0.00987 PGS R2 (no covariates): 0.00332 PGS AUROC (no covariates): 0.55036 [0.52746, 0.57326] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007030 | PGS001371 (GBE_INI2976) |
PSS006886| African Ancestry| 673 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Age diabetes diagnosed | — | — | R²: 0.28398 [0.26544, 0.30253] Incremental R2 (full-covars): -0.00362 PGS R2 (no covariates): 0.00112 [-0.0005, 0.00275] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007031 | PGS001371 (GBE_INI2976) |
PSS006887| East Asian Ancestry| 86 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Age diabetes diagnosed | — | — | R²: 0.31131 [0.27489, 0.34772] Incremental R2 (full-covars): 0.00576 PGS R2 (no covariates): 0.00203 [-0.00223, 0.00629] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007032 | PGS001371 (GBE_INI2976) |
PSS006888| European Ancestry| 1,059 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Age diabetes diagnosed | — | — | R²: 0.37828 [0.36879, 0.38778] Incremental R2 (full-covars): 0.02371 PGS R2 (no covariates): 0.04728 [0.04214, 0.05243] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007033 | PGS001371 (GBE_INI2976) |
PSS006889| South Asian Ancestry| 1,335 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Age diabetes diagnosed | — | — | R²: 0.20384 [0.18792, 0.21975] Incremental R2 (full-covars): -0.00895 PGS R2 (no covariates): 0.00042 [-0.00049, 0.00133] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007034 | PGS001371 (GBE_INI2976) |
PSS006890| European Ancestry| 3,195 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Age diabetes diagnosed | — | — | R²: 0.28031 [0.27455, 0.28606] Incremental R2 (full-covars): 0.02294 PGS R2 (no covariates): 0.03923 [0.03636, 0.0421] |
age, sex, UKB array type, Genotype PCs | — |
| PPM005200 | PGS001390 (GBE_HC1084) |
PSS004094| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE duodenal ulcer | — | AUROC: 0.71018 [0.66062, 0.75975] | R²: 0.05605 Incremental AUROC (full-covars): 0.00294 PGS R2 (no covariates): 0.00399 PGS AUROC (no covariates): 0.5623 [0.50635, 0.61825] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM005201 | PGS001390 (GBE_HC1084) |
PSS004095| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE duodenal ulcer | — | AUROC: 0.66565 [0.55325, 0.77805] | R²: 0.04606 Incremental AUROC (full-covars): 0.00253 PGS R2 (no covariates): 0.006 PGS AUROC (no covariates): 0.56376 [0.43513, 0.6924] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM005202 | PGS001390 (GBE_HC1084) |
PSS004096| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE duodenal ulcer | — | AUROC: 0.71045 [0.68829, 0.73261] | R²: 0.06289 Incremental AUROC (full-covars): 0.0043 PGS R2 (no covariates): 0.0047 PGS AUROC (no covariates): 0.55991 [0.53425, 0.58556] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM005203 | PGS001390 (GBE_HC1084) |
PSS004097| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE duodenal ulcer | — | AUROC: 0.70619 [0.66443, 0.74795] | R²: 0.0567 Incremental AUROC (full-covars): 0.00581 PGS R2 (no covariates): 0.00168 PGS AUROC (no covariates): 0.54031 [0.491, 0.58961] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM005204 | PGS001390 (GBE_HC1084) |
PSS004098| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE duodenal ulcer | — | AUROC: 0.68746 [0.67261, 0.70231] | R²: 0.04811 Incremental AUROC (full-covars): 0.00644 PGS R2 (no covariates): 0.00484 PGS AUROC (no covariates): 0.56101 [0.54453, 0.5775] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM005210 | PGS001516 (GBE_HC1112) |
PSS004129| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other diseases of intestine | — | AUROC: 0.71458 [0.68087, 0.7483] | R²: 0.07935 Incremental AUROC (full-covars): 0.00184 PGS R2 (no covariates): 0.00206 PGS AUROC (no covariates): 0.53644 [0.50022, 0.57266] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM005211 | PGS001516 (GBE_HC1112) |
PSS004130| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other diseases of intestine | — | AUROC: 0.71022 [0.64099, 0.77946] | R²: 0.09409 Incremental AUROC (full-covars): 0.00324 PGS R2 (no covariates): 0.00207 PGS AUROC (no covariates): 0.53358 [0.4606, 0.60656] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM005212 | PGS001516 (GBE_HC1112) |
PSS004131| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other diseases of intestine | — | AUROC: 0.65457 [0.63994, 0.6692] | R²: 0.04465 Incremental AUROC (full-covars): 0.00302 PGS R2 (no covariates): 0.00297 PGS AUROC (no covariates): 0.54106 [0.52507, 0.55705] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM005213 | PGS001516 (GBE_HC1112) |
PSS004132| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other diseases of intestine | — | AUROC: 0.70984 [0.68398, 0.7357] | R²: 0.07373 Incremental AUROC (full-covars): -0.001 PGS R2 (no covariates): 0.00026 PGS AUROC (no covariates): 0.48728 [0.45689, 0.51767] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM005214 | PGS001516 (GBE_HC1112) |
PSS004133| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE other diseases of intestine | — | AUROC: 0.62222 [0.6128, 0.63164] | R²: 0.02673 Incremental AUROC (full-covars): 0.00391 PGS R2 (no covariates): 0.0026 PGS AUROC (no covariates): 0.53789 [0.5278, 0.54798] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009239 | PGS001776 (PRS45_CC) |
PSS007664| European Ancestry| 403,998 individuals |
PGP000256 | Gafni A et al. PLoS One (2021) |
Reported Trait: Full lifetime risk of colorectal cancer | β: 1.848 | AUROC: 0.673 [0.664, 0.682] | — | Family history | — |
| PPM009240 | PGS001776 (PRS45_CC) |
PSS007664| European Ancestry| 403,998 individuals |
PGP000256 | Gafni A et al. PLoS One (2021) |
Reported Trait: 10-year risk of colorectal cancer | β: 1.088 | AUROC: 0.674 [0.665, 0.683] | — | Family history | — |
| PPM009254 | PGS001777 (3-SNP_cirr) |
PSS007668| European Ancestry| 1,766 individuals |
PGP000258 | Whitfield JB et al. J Hepatol (2021) |
Reported Trait: Cirrhosis (females) | β: 0.897 (0.172) | AUROC: 0.635 (0.025) | Odds Ratio (OR, top 20% vs bottom 20%): 3.81 [2.05, 7.07] | — | — |
| PPM009255 | PGS001777 (3-SNP_cirr) |
PSS007669| European Ancestry| 6,898 individuals |
PGP000258 | Whitfield JB et al. J Hepatol (2021) |
Reported Trait: Cirrhosis (males) | β: 0.8 (0.088) | AUROC: 0.635 (0.016) | Odds Ratio (OR, top 20% vs bottom 20%): 3.44 [2.48, 4.77] | — | — |
| PPM009256 | PGS001777 (3-SNP_cirr) |
PSS007669| European Ancestry| 6,898 individuals |
PGP000258 | Whitfield JB et al. J Hepatol (2021) |
Reported Trait: Cirrhosis (females) | — | AUROC: 0.554 (0.036) | Odds Ratio (OR, top 20% vs bottom 20%): 2.08 [1.11, 3.89] | — | — |
| PPM009247 | PGS001777 (3-SNP_cirr) |
PSS007667| European Ancestry| 1,390 individuals |
PGP000258 | Whitfield JB et al. J Hepatol (2021) |
Reported Trait: Cirrhosis | β: 1.092 (0.099) | AUROC: 0.665 (0.014) | Odds Ratio (OR, top 20% vs bottom 20%): 5.99 [4.18, 8.6] | — | — |
| PPM009248 | PGS001777 (3-SNP_cirr) |
PSS007668| European Ancestry| 1,766 individuals |
PGP000258 | Whitfield JB et al. J Hepatol (2021) |
Reported Trait: Cirrhosis | β: 0.669 (0.09) | AUROC: 0.606 (0.014) | Odds Ratio (OR, top 20% vs bottom 20%): 2.81 [2.03, 3.89] | — | — |
| PPM009249 | PGS001777 (3-SNP_cirr) |
PSS007669| European Ancestry| 6,898 individuals |
PGP000258 | Whitfield JB et al. J Hepatol (2021) |
Reported Trait: Cirrhosis | β: 0.729 (0.08) | AUROC: 0.619 (0.014) | Odds Ratio (OR, top 20% vs bottom 20%): 3.1 [2.32, 4.14] | — | — |
| PPM009250 | PGS001777 (3-SNP_cirr) |
PSS007669| European Ancestry| 6,898 individuals |
PGP000258 | Whitfield JB et al. J Hepatol (2021) |
Reported Trait: Cirrhosis | β: 0.748 (0.073) | AUROC: 0.636 (0.015) | Odds Ratio (OR, top 20% vs bottom 20%): 3.37 [2.38, 4.78] | BMI, coffee | — |
| PPM009251 | PGS001777 (3-SNP_cirr) |
PSS007667| European Ancestry| 1,390 individuals |
PGP000258 | Whitfield JB et al. J Hepatol (2021) |
Reported Trait: Cirrhosis (males) | β: 1.132 (0.116) | AUROC: 0.671 (0.016) | Odds Ratio (OR, top 20% vs bottom 20%): 6.18 [4.05, 9.41] | — | — |
| PPM009252 | PGS001777 (3-SNP_cirr) |
PSS007667| European Ancestry| 1,390 individuals |
PGP000258 | Whitfield JB et al. J Hepatol (2021) |
Reported Trait: Cirrhosis (females) | β: 0.974 (0.192) | AUROC: 0.65 (0.027) | Odds Ratio (OR, top 20% vs bottom 20%): 5.4 [2.67, 10.92] | — | — |
| PPM009253 | PGS001777 (3-SNP_cirr) |
PSS007668| European Ancestry| 1,766 individuals |
PGP000258 | Whitfield JB et al. J Hepatol (2021) |
Reported Trait: Cirrhosis (males) | β: 0.575 (0.107) | AUROC: 0.592 (0.017) | Odds Ratio (OR, top 20% vs bottom 20%): 2.47 [1.68, 3.62] | — | — |
| PPM009257 | PGS001777 (3-SNP_cirr) |
PSS007667| European Ancestry| 1,390 individuals |
PGP000258 | Whitfield JB et al. J Hepatol (2021) |
Reported Trait: Cirrhosis in diabetics | — | — | Odds Ratio (OR, high vs. low PRS): 5.32 [2.06, 13.7] | — | PRS Thresholds: Low (<= 0), High( >0.70) |
| PPM009258 | PGS001777 (3-SNP_cirr) |
PSS007667| European Ancestry| 1,390 individuals |
PGP000258 | Whitfield JB et al. J Hepatol (2021) |
Reported Trait: Cirrhosis in non-diabetics | — | — | Odds Ratio (OR, high vs. low PRS): 4.77 [3.45, 6.58] | — | PRS Thresholds: Low (<= 0), High( >0.70) |
| PPM009259 | PGS001777 (3-SNP_cirr) |
PSS007669| European Ancestry| 6,898 individuals |
PGP000258 | Whitfield JB et al. J Hepatol (2021) |
Reported Trait: Cirrhosis in diabetics | — | — | Odds Ratio (OR, high vs. low PRS): 3.74 [2.16, 6.48] | — | PRS Thresholds: Low (<= 0), High( >0.70) |
| PPM009260 | PGS001777 (3-SNP_cirr) |
PSS007669| European Ancestry| 6,898 individuals |
PGP000258 | Whitfield JB et al. J Hepatol (2021) |
Reported Trait: Cirrhosis in non-diabetics | — | — | Odds Ratio (OR, high vs. low PRS): 2.37 [1.86, 3.03] | — | PRS Thresholds: Low (<= 0), High( >0.70) |
| PPM009277 | PGS001781 (T2D_PRSCS) |
PSS007684| European Ancestry| 309,154 individuals |
PGP000261 | Tamlander M et al. Commun Biol (2022) |
Reported Trait: Type 2 diabetes (incident and prevalent) | OR: 1.59 [1.57, 1.61] | AUROC: 0.758 [0.756, 0.761] | — | year of birth, sex, ten first principal components of Finnish ancestry, batch, genotyping array | — |
| PPM009281 | PGS001781 (T2D_PRSCS) |
PSS007685| European Ancestry| 279,879 individuals |
PGP000261 | Tamlander M et al. Commun Biol (2022) |
Reported Trait: Incident type 2 diabetes | OR: 1.52 [1.49, 1.55] | AUROC: 0.852 [0.849, 0.855] | — | year of birth, sex, ten first principal components of Finnish ancestry, batch, genotyping array | — |
| PPM009287 | PGS001781 (T2D_PRSCS) |
PSS007692| European Ancestry| 343,672 individuals |
PGP000261 | Tamlander M et al. Commun Biol (2022) |
Reported Trait: Prevalent type 2 diabetes | OR: 1.75 [1.72, 1.78] | AUROC: 0.725 [0.721, 0.729] | — | year of birth, sex | — |
| PPM009283 | PGS001781 (T2D_PRSCS) |
PSS007691| European Ancestry| 328,115 individuals |
PGP000261 | Tamlander M et al. Commun Biol (2022) |
Reported Trait: Incident type 2 diabetes | OR: 1.51 [1.48, 1.54] | AUROC: 0.669 [0.664, 0.675] | — | year of birth, sex | — |
| PPM009285 | PGS001781 (T2D_PRSCS) |
PSS007686| European Ancestry| 309,154 individuals |
PGP000261 | Tamlander M et al. Commun Biol (2022) |
Reported Trait: Prevalent type 2 diabetes | OR: 1.59 [1.57, 1.61] | AUROC: 0.81 [0.808, 0.813] | — | year of birth, sex, ten first principal components of Finnish ancestry, batch, genotyping array | — |
| PPM009279 | PGS001781 (T2D_PRSCS) |
PSS007690| European Ancestry| 343,672 individuals |
PGP000261 | Tamlander M et al. Commun Biol (2022) |
Reported Trait: Type 2 diabetes (incident and prevalent) | OR: 1.68 [1.65, 1.7] | AUROC: 0.708 [0.705, 0.711] | — | year of birth, sex | — |
| PPM009289 | PGS001785 (1kgeur_gbmi_leaveUKBBout_AcApp_pst_eff_a1_b0.5_phiauto) |
PSS007708| European Ancestry| 359,031 individuals |
PGP000262 | Wang Y et al. Cell Genom (2023) |
Reported Trait: Acute appendicitis | — | AUROC: 0.584 | Nagelkerke's R2 (covariates regressed out): 0.00406 | sex,age,age2,age*sex,age^2*sex, 20PCs | — |
| PPM009322 | PGS001802 (portability-PLR_153) |
PSS009272| European Ancestry| 18,722 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Colorectal cancer | — | — | Partial Correlation (partial-r): 0.0376 [0.0233, 0.0519] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009323 | PGS001802 (portability-PLR_153) |
PSS009046| European Ancestry| 3,922 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Colorectal cancer | — | — | Partial Correlation (partial-r): 0.0422 [0.0108, 0.0735] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009324 | PGS001802 (portability-PLR_153) |
PSS008600| European Ancestry| 6,241 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Colorectal cancer | — | — | Partial Correlation (partial-r): 0.0237 [-0.0012, 0.0485] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009325 | PGS001802 (portability-PLR_153) |
PSS008378| Greater Middle Eastern Ancestry| 1,123 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Colorectal cancer | — | — | Partial Correlation (partial-r): 0.0416 [-0.0175, 0.1004] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009326 | PGS001802 (portability-PLR_153) |
PSS008154| South Asian Ancestry| 6,010 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Colorectal cancer | — | — | Partial Correlation (partial-r): 0.0135 [-0.0118, 0.0389] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009327 | PGS001802 (portability-PLR_153) |
PSS007942| East Asian Ancestry| 1,719 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Colorectal cancer | — | — | Partial Correlation (partial-r): 0.0226 [-0.025, 0.0701] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009328 | PGS001802 (portability-PLR_153) |
PSS007724| African Ancestry| 2,362 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Colorectal cancer | — | — | Partial Correlation (partial-r): 0.0193 [-0.0212, 0.0598] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009329 | PGS001802 (portability-PLR_153) |
PSS008826| African Ancestry| 3,757 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Colorectal cancer | — | — | Partial Correlation (partial-r): 0.0259 [-0.0062, 0.0579] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009388 | PGS001811 (portability-PLR_208) |
PSS009281| European Ancestry| 19,812 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of colon | — | — | Partial Correlation (partial-r): 0.0643 [0.0504, 0.0782] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009389 | PGS001811 (portability-PLR_208) |
PSS009055| European Ancestry| 4,121 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of colon | — | — | Partial Correlation (partial-r): 0.0651 [0.0345, 0.0955] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009390 | PGS001811 (portability-PLR_208) |
PSS008609| European Ancestry| 6,617 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of colon | — | — | Partial Correlation (partial-r): 0.0584 [0.0343, 0.0824] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009391 | PGS001811 (portability-PLR_208) |
PSS008385| Greater Middle Eastern Ancestry| 1,194 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of colon | — | — | Partial Correlation (partial-r): 0.0914 [0.0344, 0.1478] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009392 | PGS001811 (portability-PLR_208) |
PSS008163| South Asian Ancestry| 6,307 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of colon | — | — | Partial Correlation (partial-r): 0.023 [-0.0017, 0.0477] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009393 | PGS001811 (portability-PLR_208) |
PSS007950| East Asian Ancestry| 1,800 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of colon | — | — | Partial Correlation (partial-r): 0.0293 [-0.0171, 0.0757] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009394 | PGS001811 (portability-PLR_208) |
PSS007731| African Ancestry| 2,469 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of colon | — | — | Partial Correlation (partial-r): 0.0518 [0.0122, 0.0912] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009395 | PGS001811 (portability-PLR_208) |
PSS008834| African Ancestry| 3,905 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of colon | — | — | Partial Correlation (partial-r): 0.0459 [0.0145, 0.0772] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009396 | PGS001812 (portability-PLR_211) |
PSS009282| European Ancestry| 19,463 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of other parts of digestive system | — | — | Partial Correlation (partial-r): 0.0232 [0.0091, 0.0372] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009397 | PGS001812 (portability-PLR_211) |
PSS009056| European Ancestry| 4,074 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of other parts of digestive system | — | — | Partial Correlation (partial-r): 0.0262 [-0.0045, 0.057] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009398 | PGS001812 (portability-PLR_211) |
PSS008610| European Ancestry| 6,504 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of other parts of digestive system | — | — | Partial Correlation (partial-r): 0.0186 [-0.0058, 0.0429] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009399 | PGS001812 (portability-PLR_211) |
PSS008386| Greater Middle Eastern Ancestry| 1,178 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of other parts of digestive system | — | — | Partial Correlation (partial-r): 0.0327 [-0.0249, 0.0902] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009402 | PGS001812 (portability-PLR_211) |
PSS007732| African Ancestry| 2,441 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of other parts of digestive system | — | — | Partial Correlation (partial-r): -0.0065 [-0.0464, 0.0333] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009403 | PGS001812 (portability-PLR_211) |
PSS008835| African Ancestry| 3,862 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of other parts of digestive system | — | — | Partial Correlation (partial-r): 0.0197 [-0.0119, 0.0513] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009400 | PGS001812 (portability-PLR_211) |
PSS008164| South Asian Ancestry| 6,243 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of other parts of digestive system | — | — | Partial Correlation (partial-r): 0.0246 | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009401 | PGS001812 (portability-PLR_211) |
PSS007951| East Asian Ancestry| 1,772 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of other parts of digestive system | — | — | Partial Correlation (partial-r): 0.0436 [-0.0032, 0.0903] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009436 | PGS001817 (portability-PLR_250.1) |
PSS009287| European Ancestry| 18,975 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): 0.0752 [0.061, 0.0893] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009437 | PGS001817 (portability-PLR_250.1) |
PSS009061| European Ancestry| 3,954 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): 0.0684 [0.0372, 0.0994] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009438 | PGS001817 (portability-PLR_250.1) |
PSS008615| European Ancestry| 6,300 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): 0.0739 [0.0493, 0.0985] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009439 | PGS001817 (portability-PLR_250.1) |
PSS008391| Greater Middle Eastern Ancestry| 1,107 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): 0.0349 [-0.0246, 0.0941] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009440 | PGS001817 (portability-PLR_250.1) |
PSS008169| South Asian Ancestry| 5,228 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): 0.0224 [-0.0047, 0.0496] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009441 | PGS001817 (portability-PLR_250.1) |
PSS007956| East Asian Ancestry| 1,729 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): -0.0001 [-0.0475, 0.0474] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009442 | PGS001817 (portability-PLR_250.1) |
PSS007737| African Ancestry| 2,200 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): -0.0006 [-0.0426, 0.0414] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009443 | PGS001817 (portability-PLR_250.1) |
PSS008840| African Ancestry| 3,490 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): -0.0187 [-0.052, 0.0146] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009444 | PGS001818 (portability-PLR_250.2) |
PSS009288| European Ancestry| 19,931 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Partial Correlation (partial-r): 0.1246 [0.1109, 0.1382] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009445 | PGS001818 (portability-PLR_250.2) |
PSS009062| European Ancestry| 4,121 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Partial Correlation (partial-r): 0.0862 [0.0557, 0.1165] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009447 | PGS001818 (portability-PLR_250.2) |
PSS008392| Greater Middle Eastern Ancestry| 1,197 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Partial Correlation (partial-r): 0.1735 [0.1176, 0.2284] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009448 | PGS001818 (portability-PLR_250.2) |
PSS008170| South Asian Ancestry| 6,312 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Partial Correlation (partial-r): 0.1556 [0.1314, 0.1796] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009449 | PGS001818 (portability-PLR_250.2) |
PSS007957| East Asian Ancestry| 1,808 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Partial Correlation (partial-r): 0.0665 [0.0202, 0.1125] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009450 | PGS001818 (portability-PLR_250.2) |
PSS007738| African Ancestry| 2,476 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Partial Correlation (partial-r): 0.0956 [0.0562, 0.1346] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009451 | PGS001818 (portability-PLR_250.2) |
PSS008841| African Ancestry| 3,896 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Partial Correlation (partial-r): 0.0522 [0.0208, 0.0836] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009446 | PGS001818 (portability-PLR_250.2) |
PSS008616| European Ancestry| 6,646 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Partial Correlation (partial-r): 0.108 [0.0842, 0.1317] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009698 | PGS001851 (portability-PLR_530.1) |
PSS009326| European Ancestry| 19,594 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Esophagitis, GERD and related diseases | — | — | Partial Correlation (partial-r): 0.047 [0.033, 0.0609] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009699 | PGS001851 (portability-PLR_530.1) |
PSS009100| European Ancestry| 4,045 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Esophagitis, GERD and related diseases | — | — | Partial Correlation (partial-r): 0.0513 [0.0205, 0.0821] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009700 | PGS001851 (portability-PLR_530.1) |
PSS008654| European Ancestry| 6,525 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Esophagitis, GERD and related diseases | — | — | Partial Correlation (partial-r): 0.0309 [0.0066, 0.0551] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009701 | PGS001851 (portability-PLR_530.1) |
PSS008428| Greater Middle Eastern Ancestry| 1,165 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Esophagitis, GERD and related diseases | — | — | Partial Correlation (partial-r): 0.0366 [-0.0214, 0.0943] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009702 | PGS001851 (portability-PLR_530.1) |
PSS008208| South Asian Ancestry| 6,172 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Esophagitis, GERD and related diseases | — | — | Partial Correlation (partial-r): 0.0278 [0.0028, 0.0527] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009703 | PGS001851 (portability-PLR_530.1) |
PSS007990| East Asian Ancestry| 1,774 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Esophagitis, GERD and related diseases | — | — | Partial Correlation (partial-r): 0.0121 [-0.0348, 0.0588] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009704 | PGS001851 (portability-PLR_530.1) |
PSS007773| African Ancestry| 2,440 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Esophagitis, GERD and related diseases | — | — | Partial Correlation (partial-r): 0.0244 [-0.0154, 0.0642] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009705 | PGS001851 (portability-PLR_530.1) |
PSS008877| African Ancestry| 3,836 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Esophagitis, GERD and related diseases | — | — | Partial Correlation (partial-r): 0.0371 [0.0054, 0.0688] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009706 | PGS001852 (portability-PLR_535.6) |
PSS009327| European Ancestry| 18,600 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Duodenitis | — | — | Partial Correlation (partial-r): 0.0198 [0.0055, 0.0342] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009707 | PGS001852 (portability-PLR_535.6) |
PSS009101| European Ancestry| 3,868 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Duodenitis | — | — | Partial Correlation (partial-r): 0.0235 [-0.0081, 0.0551] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009708 | PGS001852 (portability-PLR_535.6) |
PSS008655| European Ancestry| 6,233 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Duodenitis | — | — | Partial Correlation (partial-r): -0.0217 [-0.0465, 0.0032] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009709 | PGS001852 (portability-PLR_535.6) |
PSS008429| Greater Middle Eastern Ancestry| 1,076 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Duodenitis | — | — | Partial Correlation (partial-r): 0.002 [-0.0583, 0.0623] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009710 | PGS001852 (portability-PLR_535.6) |
PSS008209| South Asian Ancestry| 5,720 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Duodenitis | — | — | Partial Correlation (partial-r): 0.0315 [0.0055, 0.0574] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009711 | PGS001852 (portability-PLR_535.6) |
PSS007991| East Asian Ancestry| 1,684 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Duodenitis | — | — | Partial Correlation (partial-r): 0.0278 [-0.0203, 0.0757] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009712 | PGS001852 (portability-PLR_535.6) |
PSS007774| African Ancestry| 2,298 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Duodenitis | — | — | Partial Correlation (partial-r): -0.0208 [-0.0618, 0.0203] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009713 | PGS001852 (portability-PLR_535.6) |
PSS008878| African Ancestry| 3,648 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Duodenitis | — | — | Partial Correlation (partial-r): 0.0077 [-0.0249, 0.0402] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009715 | PGS001853 (portability-PLR_540) |
PSS009102| European Ancestry| 4,136 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Appendiceal conditions | — | — | Partial Correlation (partial-r): 0.0345 [0.0039, 0.0649] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009716 | PGS001853 (portability-PLR_540) |
PSS008656| European Ancestry| 6,660 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Appendiceal conditions | — | — | Partial Correlation (partial-r): 0.0198 [-0.0043, 0.0438] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009717 | PGS001853 (portability-PLR_540) |
PSS008430| Greater Middle Eastern Ancestry| 1,200 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Appendiceal conditions | — | — | Partial Correlation (partial-r): -0.0243 [-0.0813, 0.0328] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009718 | PGS001853 (portability-PLR_540) |
PSS008210| South Asian Ancestry| 6,331 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Appendiceal conditions | — | — | Partial Correlation (partial-r): 0.0024 [-0.0223, 0.0271] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009719 | PGS001853 (portability-PLR_540) |
PSS007992| East Asian Ancestry| 1,810 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Appendiceal conditions | — | — | Partial Correlation (partial-r): 0.0008 [-0.0455, 0.0471] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009720 | PGS001853 (portability-PLR_540) |
PSS007775| African Ancestry| 2,484 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Appendiceal conditions | — | — | Partial Correlation (partial-r): -0.0062 [-0.0457, 0.0333] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009721 | PGS001853 (portability-PLR_540) |
PSS008879| African Ancestry| 3,924 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Appendiceal conditions | — | — | Partial Correlation (partial-r): -0.0204 [-0.0517, 0.011] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009714 | PGS001853 (portability-PLR_540) |
PSS009328| European Ancestry| 20,000 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Appendiceal conditions | — | — | Partial Correlation (partial-r): 0.0242 [0.0104, 0.0381] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009730 | PGS001855 (portability-PLR_555.2) |
PSS009330| European Ancestry| 16,188 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ulcerative colitis | — | — | Partial Correlation (partial-r): 0.0625 [0.0471, 0.0778] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009732 | PGS001855 (portability-PLR_555.2) |
PSS008658| European Ancestry| 5,477 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ulcerative colitis | — | — | Partial Correlation (partial-r): 0.0453 [0.0188, 0.0717] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009733 | PGS001855 (portability-PLR_555.2) |
PSS008432| Greater Middle Eastern Ancestry| 1,007 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ulcerative colitis | — | — | Partial Correlation (partial-r): 0.0175 [-0.0449, 0.0799] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009734 | PGS001855 (portability-PLR_555.2) |
PSS008212| South Asian Ancestry| 5,337 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ulcerative colitis | — | — | Partial Correlation (partial-r): 0.0407 [0.0139, 0.0676] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009735 | PGS001855 (portability-PLR_555.2) |
PSS007994| East Asian Ancestry| 1,630 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ulcerative colitis | — | — | Partial Correlation (partial-r): 0.0382 [-0.0107, 0.0868] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009736 | PGS001855 (portability-PLR_555.2) |
PSS007777| African Ancestry| 2,105 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ulcerative colitis | — | — | Partial Correlation (partial-r): 0.031 [-0.0119, 0.0738] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009737 | PGS001855 (portability-PLR_555.2) |
PSS008881| African Ancestry| 3,465 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ulcerative colitis | — | — | Partial Correlation (partial-r): -0.0003 [-0.0337, 0.0331] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009731 | PGS001855 (portability-PLR_555.2) |
PSS009104| European Ancestry| 3,520 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ulcerative colitis | — | — | Partial Correlation (partial-r): 0.0367 [0.0036, 0.0698] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009738 | PGS001856 (portability-PLR_557.1) |
PSS009331| European Ancestry| 16,106 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Celiac disease | — | — | Partial Correlation (partial-r): 0.1196 [0.1043, 0.1348] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009739 | PGS001856 (portability-PLR_557.1) |
PSS009105| European Ancestry| 3,509 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Celiac disease | — | — | Partial Correlation (partial-r): 0.0779 [0.0448, 0.1108] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009740 | PGS001856 (portability-PLR_557.1) |
PSS008659| European Ancestry| 5,445 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Celiac disease | — | — | Partial Correlation (partial-r): 0.097 [0.0706, 0.1233] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009741 | PGS001856 (portability-PLR_557.1) |
PSS008433| Greater Middle Eastern Ancestry| 998 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Celiac disease | — | — | Partial Correlation (partial-r): 0.0652 [0.0025, 0.1273] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009742 | PGS001856 (portability-PLR_557.1) |
PSS008213| South Asian Ancestry| 5,277 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Celiac disease | — | — | Partial Correlation (partial-r): 0.0535 [0.0265, 0.0805] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009743 | PGS001856 (portability-PLR_557.1) |
PSS007778| African Ancestry| 2,091 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Celiac disease | — | — | Partial Correlation (partial-r): 0.0261 [-0.017, 0.0691] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009744 | PGS001856 (portability-PLR_557.1) |
PSS008882| African Ancestry| 3,455 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Celiac disease | — | — | Partial Correlation (partial-r): 0.028 [-0.0054, 0.0614] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009754 | PGS001858 (portability-PLR_564) |
PSS009107| European Ancestry| 3,730 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Functional digestive disorders | — | — | Partial Correlation (partial-r): 0.0383 [0.0061, 0.0704] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009757 | PGS001858 (portability-PLR_564) |
PSS008215| South Asian Ancestry| 5,621 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Functional digestive disorders | — | — | Partial Correlation (partial-r): 0.0139 [-0.0123, 0.0401] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009758 | PGS001858 (portability-PLR_564) |
PSS007996| East Asian Ancestry| 1,694 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Functional digestive disorders | — | — | Partial Correlation (partial-r): 0.0307 [-0.0172, 0.0785] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009759 | PGS001858 (portability-PLR_564) |
PSS007780| African Ancestry| 2,227 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Functional digestive disorders | — | — | Partial Correlation (partial-r): 0.0283 [-0.0135, 0.0699] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009760 | PGS001858 (portability-PLR_564) |
PSS008884| African Ancestry| 3,630 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Functional digestive disorders | — | — | Partial Correlation (partial-r): -0.0057 [-0.0383, 0.0269] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009753 | PGS001858 (portability-PLR_564) |
PSS009333| European Ancestry| 17,355 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Functional digestive disorders | — | — | Partial Correlation (partial-r): 0.02 [0.0051, 0.0349] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009755 | PGS001858 (portability-PLR_564) |
PSS008661| European Ancestry| 5,869 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Functional digestive disorders | — | — | Partial Correlation (partial-r): 0.0006 [-0.025, 0.0263] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009756 | PGS001858 (portability-PLR_564) |
PSS008435| Greater Middle Eastern Ancestry| 1,070 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Functional digestive disorders | — | — | Partial Correlation (partial-r): -0.0144 [-0.0748, 0.0462] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009761 | PGS001859 (portability-PLR_565.1) |
PSS009334| European Ancestry| 19,196 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Anal and rectal polyp | — | — | Partial Correlation (partial-r): 0.0212 [0.007, 0.0353] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009762 | PGS001859 (portability-PLR_565.1) |
PSS009108| European Ancestry| 4,008 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Anal and rectal polyp | — | — | Partial Correlation (partial-r): 0.0361 [0.005, 0.067] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009763 | PGS001859 (portability-PLR_565.1) |
PSS008662| European Ancestry| 6,382 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Anal and rectal polyp | — | — | Partial Correlation (partial-r): 0.0161 [-0.0085, 0.0406] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009764 | PGS001859 (portability-PLR_565.1) |
PSS008436| Greater Middle Eastern Ancestry| 1,135 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Anal and rectal polyp | — | — | Partial Correlation (partial-r): 0.0633 [0.0047, 0.1216] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009765 | PGS001859 (portability-PLR_565.1) |
PSS008216| South Asian Ancestry| 5,990 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Anal and rectal polyp | — | — | Partial Correlation (partial-r): -0.0037 [-0.029, 0.0217] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009766 | PGS001859 (portability-PLR_565.1) |
PSS007997| East Asian Ancestry| 1,770 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Anal and rectal polyp | — | — | Partial Correlation (partial-r): 0.0417 [-0.0051, 0.0884] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009767 | PGS001859 (portability-PLR_565.1) |
PSS007781| African Ancestry| 2,363 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Anal and rectal polyp | — | — | Partial Correlation (partial-r): 0.0309 [-0.0096, 0.0713] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009768 | PGS001859 (portability-PLR_565.1) |
PSS008885| African Ancestry| 3,762 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Anal and rectal polyp | — | — | Partial Correlation (partial-r): 0.0059 [-0.0261, 0.0379] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009769 | PGS001860 (portability-PLR_571.5) |
PSS009335| European Ancestry| 19,586 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Other chronic nonalcoholic liver disease | — | — | Partial Correlation (partial-r): 0.0413 [0.0273, 0.0553] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009770 | PGS001860 (portability-PLR_571.5) |
PSS009109| European Ancestry| 4,060 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Other chronic nonalcoholic liver disease | — | — | Partial Correlation (partial-r): 0.034 [0.0032, 0.0648] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009771 | PGS001860 (portability-PLR_571.5) |
PSS008663| European Ancestry| 6,543 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Other chronic nonalcoholic liver disease | — | — | Partial Correlation (partial-r): 0.0281 [0.0038, 0.0523] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009772 | PGS001860 (portability-PLR_571.5) |
PSS008437| Greater Middle Eastern Ancestry| 1,185 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Other chronic nonalcoholic liver disease | — | — | Partial Correlation (partial-r): 0.0168 [-0.0407, 0.0741] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009773 | PGS001860 (portability-PLR_571.5) |
PSS008217| South Asian Ancestry| 6,209 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Other chronic nonalcoholic liver disease | — | — | Partial Correlation (partial-r): 0.0246 | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009774 | PGS001860 (portability-PLR_571.5) |
PSS007998| East Asian Ancestry| 1,783 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Other chronic nonalcoholic liver disease | — | — | Partial Correlation (partial-r): 0.0455 [-0.0012, 0.092] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009775 | PGS001860 (portability-PLR_571.5) |
PSS007782| African Ancestry| 2,429 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Other chronic nonalcoholic liver disease | — | — | Partial Correlation (partial-r): -0.013 [-0.0529, 0.0269] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009776 | PGS001860 (portability-PLR_571.5) |
PSS008886| African Ancestry| 3,837 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Other chronic nonalcoholic liver disease | — | — | Partial Correlation (partial-r): -0.0259 [-0.0576, 0.0058] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009777 | PGS001861 (portability-PLR_574) |
PSS009336| European Ancestry| 19,908 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Cholelithiasis and cholecystitis | — | — | Partial Correlation (partial-r): 0.0948 [0.081, 0.1085] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009778 | PGS001861 (portability-PLR_574) |
PSS009110| European Ancestry| 4,121 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Cholelithiasis and cholecystitis | — | — | Partial Correlation (partial-r): 0.0809 [0.0504, 0.1112] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009779 | PGS001861 (portability-PLR_574) |
PSS008664| European Ancestry| 6,631 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Cholelithiasis and cholecystitis | — | — | Partial Correlation (partial-r): 0.0769 [0.0529, 0.1008] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009780 | PGS001861 (portability-PLR_574) |
PSS008438| Greater Middle Eastern Ancestry| 1,197 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Cholelithiasis and cholecystitis | — | — | Partial Correlation (partial-r): 0.0684 [0.0113, 0.1251] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009781 | PGS001861 (portability-PLR_574) |
PSS008218| South Asian Ancestry| 6,310 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Cholelithiasis and cholecystitis | — | — | Partial Correlation (partial-r): 0.0422 [0.0175, 0.0668] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009782 | PGS001861 (portability-PLR_574) |
PSS007999| East Asian Ancestry| 1,806 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Cholelithiasis and cholecystitis | — | — | Partial Correlation (partial-r): 0.041 [-0.0054, 0.0872] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009783 | PGS001861 (portability-PLR_574) |
PSS007783| African Ancestry| 2,477 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Cholelithiasis and cholecystitis | — | — | Partial Correlation (partial-r): 0.0362 [-0.0033, 0.0757] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009784 | PGS001861 (portability-PLR_574) |
PSS008887| African Ancestry| 3,912 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Cholelithiasis and cholecystitis | — | — | Partial Correlation (partial-r): 0.0251 [-0.0063, 0.0565] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009785 | PGS001862 (portability-PLR_575) |
PSS009337| European Ancestry| 19,288 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Other biliary tract disease | — | — | Partial Correlation (partial-r): 0.0221 [0.008, 0.0362] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009786 | PGS001862 (portability-PLR_575) |
PSS009111| European Ancestry| 3,998 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Other biliary tract disease | — | — | Partial Correlation (partial-r): 0.0485 [0.0174, 0.0795] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009787 | PGS001862 (portability-PLR_575) |
PSS008665| European Ancestry| 6,436 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Other biliary tract disease | — | — | Partial Correlation (partial-r): -0.0029 [-0.0274, 0.0215] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009788 | PGS001862 (portability-PLR_575) |
PSS008439| Greater Middle Eastern Ancestry| 1,170 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Other biliary tract disease | — | — | Partial Correlation (partial-r): 0.0133 [-0.0445, 0.0711] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009789 | PGS001862 (portability-PLR_575) |
PSS008219| South Asian Ancestry| 6,142 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Other biliary tract disease | — | — | Partial Correlation (partial-r): 0.0217 [-0.0033, 0.0468] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009790 | PGS001862 (portability-PLR_575) |
PSS008000| East Asian Ancestry| 1,775 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Other biliary tract disease | — | — | Partial Correlation (partial-r): 0.03 [-0.0168, 0.0767] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009792 | PGS001862 (portability-PLR_575) |
PSS008888| African Ancestry| 3,852 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Other biliary tract disease | — | — | Partial Correlation (partial-r): -0.0004 [-0.0321, 0.0312] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009791 | PGS001862 (portability-PLR_575) |
PSS007784| African Ancestry| 2,432 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Other biliary tract disease | — | — | Partial Correlation (partial-r): 0.0111 [-0.0288, 0.051] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010037 | PGS001894 (portability-PLR_celiac_gluten) |
PSS009164| European Ancestry| 1,354 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | — | Partial Correlation (partial-r): 0.0796 [0.026, 0.1327] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010038 | PGS001894 (portability-PLR_celiac_gluten) |
PSS008718| European Ancestry| 2,442 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | — | Partial Correlation (partial-r): 0.0358 [-0.0041, 0.0755] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010039 | PGS001894 (portability-PLR_celiac_gluten) |
PSS008492| Greater Middle Eastern Ancestry| 208 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | — | Partial Correlation (partial-r): 0.0295 [-0.1141, 0.1719] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010040 | PGS001894 (portability-PLR_celiac_gluten) |
PSS008270| South Asian Ancestry| 908 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | — | Partial Correlation (partial-r): 0.0219 [-0.0439, 0.0876] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010041 | PGS001894 (portability-PLR_celiac_gluten) |
PSS007834| African Ancestry| 400 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | — | Partial Correlation (partial-r): -0.0127 [-0.1132, 0.088] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010042 | PGS001894 (portability-PLR_celiac_gluten) |
PSS008938| African Ancestry| 526 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | — | Partial Correlation (partial-r): 0.0162 [-0.0711, 0.1032] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010036 | PGS001894 (portability-PLR_celiac_gluten) |
PSS009390| European Ancestry| 7,142 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | — | Partial Correlation (partial-r): 0.0993 [0.0763, 0.1223] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010978 | PGS002013 (portability-ldpred2_153) |
PSS009272| European Ancestry| 18,722 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Colorectal cancer | — | — | Partial Correlation (partial-r): 0.0397 [0.0254, 0.054] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010979 | PGS002013 (portability-ldpred2_153) |
PSS009046| European Ancestry| 3,922 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Colorectal cancer | — | — | Partial Correlation (partial-r): 0.0419 [0.0105, 0.0732] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010980 | PGS002013 (portability-ldpred2_153) |
PSS008600| European Ancestry| 6,241 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Colorectal cancer | — | — | Partial Correlation (partial-r): 0.0234 [-0.0015, 0.0482] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010981 | PGS002013 (portability-ldpred2_153) |
PSS008378| Greater Middle Eastern Ancestry| 1,123 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Colorectal cancer | — | — | Partial Correlation (partial-r): 0.0315 [-0.0276, 0.0904] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010982 | PGS002013 (portability-ldpred2_153) |
PSS008154| South Asian Ancestry| 6,010 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Colorectal cancer | — | — | Partial Correlation (partial-r): 0.0275 [0.0021, 0.0528] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010983 | PGS002013 (portability-ldpred2_153) |
PSS007942| East Asian Ancestry| 1,719 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Colorectal cancer | — | — | Partial Correlation (partial-r): 0.026 [-0.0215, 0.0735] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010984 | PGS002013 (portability-ldpred2_153) |
PSS007724| African Ancestry| 2,362 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Colorectal cancer | — | — | Partial Correlation (partial-r): 0.0053 [-0.0352, 0.0458] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010985 | PGS002013 (portability-ldpred2_153) |
PSS008826| African Ancestry| 3,757 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Colorectal cancer | — | — | Partial Correlation (partial-r): 0.0265 [-0.0056, 0.0585] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011026 | PGS002019 (portability-ldpred2_208) |
PSS009281| European Ancestry| 19,812 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of colon | — | — | Partial Correlation (partial-r): 0.0716 [0.0577, 0.0854] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011027 | PGS002019 (portability-ldpred2_208) |
PSS009055| European Ancestry| 4,121 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of colon | — | — | Partial Correlation (partial-r): 0.0761 [0.0456, 0.1065] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011028 | PGS002019 (portability-ldpred2_208) |
PSS008609| European Ancestry| 6,617 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of colon | — | — | Partial Correlation (partial-r): 0.0659 [0.0418, 0.0899] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011029 | PGS002019 (portability-ldpred2_208) |
PSS008385| Greater Middle Eastern Ancestry| 1,194 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of colon | — | — | Partial Correlation (partial-r): 0.0966 [0.0396, 0.153] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011030 | PGS002019 (portability-ldpred2_208) |
PSS008163| South Asian Ancestry| 6,307 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of colon | — | — | Partial Correlation (partial-r): 0.0398 [0.0151, 0.0645] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011031 | PGS002019 (portability-ldpred2_208) |
PSS007950| East Asian Ancestry| 1,800 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of colon | — | — | Partial Correlation (partial-r): 0.0601 [0.0137, 0.1063] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011032 | PGS002019 (portability-ldpred2_208) |
PSS007731| African Ancestry| 2,469 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of colon | — | — | Partial Correlation (partial-r): 0.0409 [0.0012, 0.0803] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011033 | PGS002019 (portability-ldpred2_208) |
PSS008834| African Ancestry| 3,905 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of colon | — | — | Partial Correlation (partial-r): 0.0603 [0.0289, 0.0916] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011034 | PGS002020 (portability-ldpred2_211) |
PSS009282| European Ancestry| 19,463 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of other parts of digestive system | — | — | Partial Correlation (partial-r): 0.0199 [0.0059, 0.034] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011035 | PGS002020 (portability-ldpred2_211) |
PSS009056| European Ancestry| 4,074 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of other parts of digestive system | — | — | Partial Correlation (partial-r): 0.0332 [0.0025, 0.064] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011036 | PGS002020 (portability-ldpred2_211) |
PSS008610| European Ancestry| 6,504 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of other parts of digestive system | — | — | Partial Correlation (partial-r): 0.0281 [0.0038, 0.0524] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011037 | PGS002020 (portability-ldpred2_211) |
PSS008386| Greater Middle Eastern Ancestry| 1,178 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of other parts of digestive system | — | — | Partial Correlation (partial-r): 0.0488 [-0.0088, 0.1061] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011038 | PGS002020 (portability-ldpred2_211) |
PSS008164| South Asian Ancestry| 6,243 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of other parts of digestive system | — | — | Partial Correlation (partial-r): 0.0343 [0.0094, 0.0591] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011039 | PGS002020 (portability-ldpred2_211) |
PSS007951| East Asian Ancestry| 1,772 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of other parts of digestive system | — | — | Partial Correlation (partial-r): 0.0236 [-0.0233, 0.0703] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011040 | PGS002020 (portability-ldpred2_211) |
PSS007732| African Ancestry| 2,441 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of other parts of digestive system | — | — | Partial Correlation (partial-r): -0.0196 [-0.0594, 0.0202] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011041 | PGS002020 (portability-ldpred2_211) |
PSS008835| African Ancestry| 3,862 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Benign neoplasm of other parts of digestive system | — | — | Partial Correlation (partial-r): 0.0027 [-0.0289, 0.0343] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011074 | PGS002025 (portability-ldpred2_250.1) |
PSS009287| European Ancestry| 18,975 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): 0.0824 [0.0682, 0.0965] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011075 | PGS002025 (portability-ldpred2_250.1) |
PSS009061| European Ancestry| 3,954 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): 0.0666 [0.0354, 0.0976] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011076 | PGS002025 (portability-ldpred2_250.1) |
PSS008615| European Ancestry| 6,300 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): 0.0719 [0.0472, 0.0964] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011077 | PGS002025 (portability-ldpred2_250.1) |
PSS008391| Greater Middle Eastern Ancestry| 1,107 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): 0.0529 [-0.0066, 0.112] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011078 | PGS002025 (portability-ldpred2_250.1) |
PSS008169| South Asian Ancestry| 5,228 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): 0.0228 [-0.0044, 0.0499] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011079 | PGS002025 (portability-ldpred2_250.1) |
PSS007956| East Asian Ancestry| 1,729 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): -0.0048 [-0.0522, 0.0427] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011080 | PGS002025 (portability-ldpred2_250.1) |
PSS007737| African Ancestry| 2,200 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): 0.0089 [-0.0331, 0.0509] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011081 | PGS002025 (portability-ldpred2_250.1) |
PSS008840| African Ancestry| 3,490 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 1 diabetes | — | — | Partial Correlation (partial-r): -0.013 [-0.0463, 0.0203] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011082 | PGS002026 (portability-ldpred2_250.2) |
PSS009288| European Ancestry| 19,931 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Partial Correlation (partial-r): 0.1304 [0.1168, 0.1441] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011083 | PGS002026 (portability-ldpred2_250.2) |
PSS009062| European Ancestry| 4,121 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Partial Correlation (partial-r): 0.0862 [0.0558, 0.1165] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011084 | PGS002026 (portability-ldpred2_250.2) |
PSS008616| European Ancestry| 6,646 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Partial Correlation (partial-r): 0.1134 [0.0896, 0.1371] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011085 | PGS002026 (portability-ldpred2_250.2) |
PSS008392| Greater Middle Eastern Ancestry| 1,197 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Partial Correlation (partial-r): 0.1764 [0.1205, 0.2312] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011087 | PGS002026 (portability-ldpred2_250.2) |
PSS007957| East Asian Ancestry| 1,808 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Partial Correlation (partial-r): 0.0786 [0.0324, 0.1246] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011088 | PGS002026 (portability-ldpred2_250.2) |
PSS007738| African Ancestry| 2,476 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Partial Correlation (partial-r): 0.1001 [0.0607, 0.1391] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011089 | PGS002026 (portability-ldpred2_250.2) |
PSS008841| African Ancestry| 3,896 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Partial Correlation (partial-r): 0.0806 [0.0493, 0.1118] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011086 | PGS002026 (portability-ldpred2_250.2) |
PSS008170| South Asian Ancestry| 6,312 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Partial Correlation (partial-r): 0.158 [0.1338, 0.182] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM020894 | PGS002026 (portability-ldpred2_250.2) |
PSS011441| African Ancestry| 504 individuals |
PGP000599 | Guarischi-Sousa R et al. Circ Genom Precis Med (2023) |Ext. |
Reported Trait: Raised coronary lesion | OR: 1.1 [0.9, 1.35] | — | — | — | — |
| PPM020889 | PGS002026 (portability-ldpred2_250.2) |
PSS011442| European Ancestry| 564 individuals |
PGP000599 | Guarischi-Sousa R et al. Circ Genom Precis Med (2023) |Ext. |
Reported Trait: Raised coronary lesion | OR: 0.96 [0.8, 1.16] | — | — | — | — |
| PPM011366 | PGS002063 (portability-ldpred2_530.1) |
PSS009326| European Ancestry| 19,594 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Esophagitis, GERD and related diseases | — | — | Partial Correlation (partial-r): 0.0644 [0.0504, 0.0783] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011367 | PGS002063 (portability-ldpred2_530.1) |
PSS009100| European Ancestry| 4,045 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Esophagitis, GERD and related diseases | — | — | Partial Correlation (partial-r): 0.0532 [0.0223, 0.084] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011368 | PGS002063 (portability-ldpred2_530.1) |
PSS008654| European Ancestry| 6,525 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Esophagitis, GERD and related diseases | — | — | Partial Correlation (partial-r): 0.0447 [0.0204, 0.0689] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011369 | PGS002063 (portability-ldpred2_530.1) |
PSS008428| Greater Middle Eastern Ancestry| 1,165 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Esophagitis, GERD and related diseases | — | — | Partial Correlation (partial-r): 0.0342 [-0.0238, 0.092] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011370 | PGS002063 (portability-ldpred2_530.1) |
PSS008208| South Asian Ancestry| 6,172 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Esophagitis, GERD and related diseases | — | — | Partial Correlation (partial-r): 0.0522 [0.0273, 0.0771] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011371 | PGS002063 (portability-ldpred2_530.1) |
PSS007990| East Asian Ancestry| 1,774 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Esophagitis, GERD and related diseases | — | — | Partial Correlation (partial-r): 0.0273 [-0.0196, 0.074] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011372 | PGS002063 (portability-ldpred2_530.1) |
PSS007773| African Ancestry| 2,440 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Esophagitis, GERD and related diseases | — | — | Partial Correlation (partial-r): 0.034 [-0.0059, 0.0737] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011373 | PGS002063 (portability-ldpred2_530.1) |
PSS008877| African Ancestry| 3,836 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Esophagitis, GERD and related diseases | — | — | Partial Correlation (partial-r): 0.0136 [-0.0181, 0.0454] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011374 | PGS002064 (portability-ldpred2_540) |
PSS009328| European Ancestry| 20,000 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Appendiceal conditions | — | — | Partial Correlation (partial-r): 0.0149 [0.0011, 0.0288] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011375 | PGS002064 (portability-ldpred2_540) |
PSS009102| European Ancestry| 4,136 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Appendiceal conditions | — | — | Partial Correlation (partial-r): -0.0011 [-0.0317, 0.0294] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011376 | PGS002064 (portability-ldpred2_540) |
PSS008656| European Ancestry| 6,660 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Appendiceal conditions | — | — | Partial Correlation (partial-r): 0.0284 [0.0043, 0.0524] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011377 | PGS002064 (portability-ldpred2_540) |
PSS008430| Greater Middle Eastern Ancestry| 1,200 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Appendiceal conditions | — | — | Partial Correlation (partial-r): -0.0502 [-0.1069, 0.0069] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011378 | PGS002064 (portability-ldpred2_540) |
PSS008210| South Asian Ancestry| 6,331 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Appendiceal conditions | — | — | Partial Correlation (partial-r): 0.0161 [-0.0085, 0.0408] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011379 | PGS002064 (portability-ldpred2_540) |
PSS007992| East Asian Ancestry| 1,810 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Appendiceal conditions | — | — | Partial Correlation (partial-r): 0.0333 [-0.0131, 0.0795] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011380 | PGS002064 (portability-ldpred2_540) |
PSS007775| African Ancestry| 2,484 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Appendiceal conditions | — | — | Partial Correlation (partial-r): -0.0115 [-0.051, 0.028] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011381 | PGS002064 (portability-ldpred2_540) |
PSS008879| African Ancestry| 3,924 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Appendiceal conditions | — | — | Partial Correlation (partial-r): 0.0213 [-0.0101, 0.0526] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011390 | PGS002066 (portability-ldpred2_555.2) |
PSS009330| European Ancestry| 16,188 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ulcerative colitis | — | — | Partial Correlation (partial-r): 0.0641 [0.0487, 0.0794] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011391 | PGS002066 (portability-ldpred2_555.2) |
PSS009104| European Ancestry| 3,520 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ulcerative colitis | — | — | Partial Correlation (partial-r): 0.0466 [0.0135, 0.0796] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011392 | PGS002066 (portability-ldpred2_555.2) |
PSS008658| European Ancestry| 5,477 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ulcerative colitis | — | — | Partial Correlation (partial-r): 0.0426 [0.0161, 0.0691] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011393 | PGS002066 (portability-ldpred2_555.2) |
PSS008432| Greater Middle Eastern Ancestry| 1,007 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ulcerative colitis | — | — | Partial Correlation (partial-r): 0.0056 [-0.0568, 0.068] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011395 | PGS002066 (portability-ldpred2_555.2) |
PSS007994| East Asian Ancestry| 1,630 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ulcerative colitis | — | — | Partial Correlation (partial-r): 0.0398 [-0.009, 0.0885] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011396 | PGS002066 (portability-ldpred2_555.2) |
PSS007777| African Ancestry| 2,105 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ulcerative colitis | — | — | Partial Correlation (partial-r): 0.0272 [-0.0157, 0.0701] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011397 | PGS002066 (portability-ldpred2_555.2) |
PSS008881| African Ancestry| 3,465 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ulcerative colitis | — | — | Partial Correlation (partial-r): 0.0058 [-0.0276, 0.0392] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011394 | PGS002066 (portability-ldpred2_555.2) |
PSS008212| South Asian Ancestry| 5,337 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Ulcerative colitis | — | — | Partial Correlation (partial-r): 0.0388 [0.0119, 0.0656] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011398 | PGS002067 (portability-ldpred2_557.1) |
PSS009331| European Ancestry| 16,106 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Celiac disease | — | — | Partial Correlation (partial-r): 0.1241 [0.1088, 0.1393] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011400 | PGS002067 (portability-ldpred2_557.1) |
PSS008659| European Ancestry| 5,445 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Celiac disease | — | — | Partial Correlation (partial-r): 0.0979 [0.0714, 0.1242] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011401 | PGS002067 (portability-ldpred2_557.1) |
PSS008433| Greater Middle Eastern Ancestry| 998 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Celiac disease | — | — | Partial Correlation (partial-r): 0.0718 [0.0092, 0.1339] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011402 | PGS002067 (portability-ldpred2_557.1) |
PSS008213| South Asian Ancestry| 5,277 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Celiac disease | — | — | Partial Correlation (partial-r): 0.0512 [0.0242, 0.0781] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011403 | PGS002067 (portability-ldpred2_557.1) |
PSS007778| African Ancestry| 2,091 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Celiac disease | — | — | Partial Correlation (partial-r): 0.0094 [-0.0337, 0.0525] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011404 | PGS002067 (portability-ldpred2_557.1) |
PSS008882| African Ancestry| 3,455 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Celiac disease | — | — | Partial Correlation (partial-r): 0.0241 [-0.0093, 0.0575] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011399 | PGS002067 (portability-ldpred2_557.1) |
PSS009105| European Ancestry| 3,509 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Celiac disease | — | — | Partial Correlation (partial-r): 0.0695 [0.0364, 0.1024] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011413 | PGS002069 (portability-ldpred2_564) |
PSS009333| European Ancestry| 17,355 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Functional digestive disorders | — | — | Partial Correlation (partial-r): 0.0432 [0.0283, 0.0581] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011414 | PGS002069 (portability-ldpred2_564) |
PSS009107| European Ancestry| 3,730 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Functional digestive disorders | — | — | Partial Correlation (partial-r): 0.0616 [0.0295, 0.0936] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011415 | PGS002069 (portability-ldpred2_564) |
PSS008661| European Ancestry| 5,869 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Functional digestive disorders | — | — | Partial Correlation (partial-r): 0.0273 [0.0017, 0.0529] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011416 | PGS002069 (portability-ldpred2_564) |
PSS008435| Greater Middle Eastern Ancestry| 1,070 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Functional digestive disorders | — | — | Partial Correlation (partial-r): -0.0128 [-0.0733, 0.0477] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011417 | PGS002069 (portability-ldpred2_564) |
PSS008215| South Asian Ancestry| 5,621 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Functional digestive disorders | — | — | Partial Correlation (partial-r): 0.0375 [0.0114, 0.0637] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011418 | PGS002069 (portability-ldpred2_564) |
PSS007996| East Asian Ancestry| 1,694 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Functional digestive disorders | — | — | Partial Correlation (partial-r): 0.039 [-0.009, 0.0867] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011420 | PGS002069 (portability-ldpred2_564) |
PSS008884| African Ancestry| 3,630 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Functional digestive disorders | — | — | Partial Correlation (partial-r): 0.0257 [-0.0069, 0.0583] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011419 | PGS002069 (portability-ldpred2_564) |
PSS007780| African Ancestry| 2,227 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Functional digestive disorders | — | — | Partial Correlation (partial-r): 0.0063 [-0.0354, 0.048] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011421 | PGS002070 (portability-ldpred2_565.1) |
PSS009334| European Ancestry| 19,196 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Anal and rectal polyp | — | — | Partial Correlation (partial-r): 0.0342 [0.02, 0.0483] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011422 | PGS002070 (portability-ldpred2_565.1) |
PSS009108| European Ancestry| 4,008 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Anal and rectal polyp | — | — | Partial Correlation (partial-r): 0.0435 [0.0125, 0.0745] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011423 | PGS002070 (portability-ldpred2_565.1) |
PSS008662| European Ancestry| 6,382 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Anal and rectal polyp | — | — | Partial Correlation (partial-r): 0.0224 [-0.0022, 0.047] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011424 | PGS002070 (portability-ldpred2_565.1) |
PSS008436| Greater Middle Eastern Ancestry| 1,135 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Anal and rectal polyp | — | — | Partial Correlation (partial-r): 0.0438 [-0.015, 0.1022] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011425 | PGS002070 (portability-ldpred2_565.1) |
PSS008216| South Asian Ancestry| 5,990 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Anal and rectal polyp | — | — | Partial Correlation (partial-r): 0.0084 [-0.017, 0.0338] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011426 | PGS002070 (portability-ldpred2_565.1) |
PSS007997| East Asian Ancestry| 1,770 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Anal and rectal polyp | — | — | Partial Correlation (partial-r): 0.0501 [0.0032, 0.0967] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011427 | PGS002070 (portability-ldpred2_565.1) |
PSS007781| African Ancestry| 2,363 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Anal and rectal polyp | — | — | Partial Correlation (partial-r): 0.0457 [0.0052, 0.086] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011428 | PGS002070 (portability-ldpred2_565.1) |
PSS008885| African Ancestry| 3,762 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Anal and rectal polyp | — | — | Partial Correlation (partial-r): -0.0102 [-0.0422, 0.0219] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011429 | PGS002071 (portability-ldpred2_571.5) |
PSS009335| European Ancestry| 19,586 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Other chronic nonalcoholic liver disease | — | — | Partial Correlation (partial-r): 0.0415 [0.0275, 0.0555] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011430 | PGS002071 (portability-ldpred2_571.5) |
PSS009109| European Ancestry| 4,060 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Other chronic nonalcoholic liver disease | — | — | Partial Correlation (partial-r): 0.029 [-0.0018, 0.0598] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011431 | PGS002071 (portability-ldpred2_571.5) |
PSS008663| European Ancestry| 6,543 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Other chronic nonalcoholic liver disease | — | — | Partial Correlation (partial-r): 0.0289 [0.0047, 0.0532] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011432 | PGS002071 (portability-ldpred2_571.5) |
PSS008437| Greater Middle Eastern Ancestry| 1,185 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Other chronic nonalcoholic liver disease | — | — | Partial Correlation (partial-r): 0.0227 [-0.0348, 0.08] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011433 | PGS002071 (portability-ldpred2_571.5) |
PSS008217| South Asian Ancestry| 6,209 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Other chronic nonalcoholic liver disease | — | — | Partial Correlation (partial-r): 0.0224 [-0.0025, 0.0473] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011434 | PGS002071 (portability-ldpred2_571.5) |
PSS007998| East Asian Ancestry| 1,783 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Other chronic nonalcoholic liver disease | — | — | Partial Correlation (partial-r): 0.043 [-0.0037, 0.0895] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011435 | PGS002071 (portability-ldpred2_571.5) |
PSS007782| African Ancestry| 2,429 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Other chronic nonalcoholic liver disease | — | — | Partial Correlation (partial-r): -0.0077 [-0.0476, 0.0323] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011436 | PGS002071 (portability-ldpred2_571.5) |
PSS008886| African Ancestry| 3,837 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Other chronic nonalcoholic liver disease | — | — | Partial Correlation (partial-r): -0.0167 [-0.0484, 0.015] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011437 | PGS002072 (portability-ldpred2_574) |
PSS009336| European Ancestry| 19,908 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Cholelithiasis and cholecystitis | — | — | Partial Correlation (partial-r): 0.098 [0.0842, 0.1117] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011439 | PGS002072 (portability-ldpred2_574) |
PSS008664| European Ancestry| 6,631 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Cholelithiasis and cholecystitis | — | — | Partial Correlation (partial-r): 0.0805 [0.0565, 0.1044] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011440 | PGS002072 (portability-ldpred2_574) |
PSS008438| Greater Middle Eastern Ancestry| 1,197 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Cholelithiasis and cholecystitis | — | — | Partial Correlation (partial-r): 0.0663 [0.0092, 0.123] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011441 | PGS002072 (portability-ldpred2_574) |
PSS008218| South Asian Ancestry| 6,310 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Cholelithiasis and cholecystitis | — | — | Partial Correlation (partial-r): 0.0503 [0.0256, 0.0749] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011442 | PGS002072 (portability-ldpred2_574) |
PSS007999| East Asian Ancestry| 1,806 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Cholelithiasis and cholecystitis | — | — | Partial Correlation (partial-r): 0.0441 [-0.0023, 0.0903] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011443 | PGS002072 (portability-ldpred2_574) |
PSS007783| African Ancestry| 2,477 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Cholelithiasis and cholecystitis | — | — | Partial Correlation (partial-r): 0.0336 [-0.0059, 0.0731] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011444 | PGS002072 (portability-ldpred2_574) |
PSS008887| African Ancestry| 3,912 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Cholelithiasis and cholecystitis | — | — | Partial Correlation (partial-r): 0.033 [0.0016, 0.0643] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011438 | PGS002072 (portability-ldpred2_574) |
PSS009110| European Ancestry| 4,121 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Cholelithiasis and cholecystitis | — | — | Partial Correlation (partial-r): 0.0792 [0.0487, 0.1096] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011445 | PGS002073 (portability-ldpred2_575) |
PSS009337| European Ancestry| 19,288 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Other biliary tract disease | — | — | Partial Correlation (partial-r): 0.0215 [0.0074, 0.0356] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011446 | PGS002073 (portability-ldpred2_575) |
PSS009111| European Ancestry| 3,998 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Other biliary tract disease | — | — | Partial Correlation (partial-r): 0.0453 [0.0142, 0.0762] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011447 | PGS002073 (portability-ldpred2_575) |
PSS008665| European Ancestry| 6,436 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Other biliary tract disease | — | — | Partial Correlation (partial-r): -0.0067 [-0.0311, 0.0178] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011448 | PGS002073 (portability-ldpred2_575) |
PSS008439| Greater Middle Eastern Ancestry| 1,170 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Other biliary tract disease | — | — | Partial Correlation (partial-r): -0.0075 [-0.0653, 0.0503] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011449 | PGS002073 (portability-ldpred2_575) |
PSS008219| South Asian Ancestry| 6,142 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Other biliary tract disease | — | — | Partial Correlation (partial-r): 0.029 [0.004, 0.054] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011450 | PGS002073 (portability-ldpred2_575) |
PSS008000| East Asian Ancestry| 1,775 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Other biliary tract disease | — | — | Partial Correlation (partial-r): 0.053 [0.0062, 0.0995] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011452 | PGS002073 (portability-ldpred2_575) |
PSS008888| African Ancestry| 3,852 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Other biliary tract disease | — | — | Partial Correlation (partial-r): 0.0035 [-0.0281, 0.0352] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011451 | PGS002073 (portability-ldpred2_575) |
PSS007784| African Ancestry| 2,432 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Other biliary tract disease | — | — | Partial Correlation (partial-r): 0.0039 [-0.036, 0.0438] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011712 | PGS002107 (portability-ldpred2_celiac_gluten) |
PSS009390| European Ancestry| 7,142 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | — | Partial Correlation (partial-r): 0.0964 [0.0733, 0.1193] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011713 | PGS002107 (portability-ldpred2_celiac_gluten) |
PSS009164| European Ancestry| 1,354 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | — | Partial Correlation (partial-r): 0.0848 [0.0313, 0.1379] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011714 | PGS002107 (portability-ldpred2_celiac_gluten) |
PSS008718| European Ancestry| 2,442 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | — | Partial Correlation (partial-r): 0.041 [0.0012, 0.0807] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011715 | PGS002107 (portability-ldpred2_celiac_gluten) |
PSS008492| Greater Middle Eastern Ancestry| 208 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | — | Partial Correlation (partial-r): 0.0206 [-0.1229, 0.1632] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011716 | PGS002107 (portability-ldpred2_celiac_gluten) |
PSS008270| South Asian Ancestry| 908 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | — | Partial Correlation (partial-r): 0.0237 [-0.0422, 0.0893] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011717 | PGS002107 (portability-ldpred2_celiac_gluten) |
PSS007834| African Ancestry| 400 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | — | Partial Correlation (partial-r): -0.0242 [-0.1245, 0.0766] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011718 | PGS002107 (portability-ldpred2_celiac_gluten) |
PSS008938| African Ancestry| 526 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity | — | — | Partial Correlation (partial-r): 0.0172 [-0.0701, 0.1042] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012733 | PGS002243 (ldpred_t2d) |
PSS009522| European Ancestry| 258,402 individuals |
PGP000271 | Mars N et al. Cell Genom (2022) |
Reported Trait: Type 2 diabetes | OR: 1.58 [1.56, 1.6] | — | — | age, sex, 10 PCs (+/- dataset-specific technical covariates) | — |
| PPM012737 | PGS002243 (ldpred_t2d) |
PSS009518| European Ancestry| 110,597 individuals |
PGP000271 | Mars N et al. Cell Genom (2022) |
Reported Trait: Type 2 diabetes | OR: 1.55 [1.51, 1.59] | — | — | age, sex, 10 PCs (+/- dataset-specific technical covariates) | — |
| PPM012741 | PGS002243 (ldpred_t2d) |
PSS009514| East Asian Ancestry| 178,726 individuals |
PGP000271 | Mars N et al. Cell Genom (2022) |
Reported Trait: Type 2 diabetes | OR: 1.37 [1.36, 1.39] | — | — | age, sex, 10 PCs (+/- dataset-specific technical covariates) | — |
| PPM012745 | PGS002243 (ldpred_t2d) |
PSS009526| European Ancestry| 69,422 individuals |
PGP000271 | Mars N et al. Cell Genom (2022) |
Reported Trait: Type 2 diabetes | OR: 1.64 [1.6, 1.69] | — | — | birth year, sex, 10 PCs (+/- dataset-specific technical covariates) | — |
| PPM012749 | PGS002243 (ldpred_t2d) |
PSS009534| European Ancestry| 25,696 individuals |
PGP000271 | Mars N et al. Cell Genom (2022) |
Reported Trait: Type 2 diabetes | OR: 1.46 [1.41, 1.51] | — | — | age, sex, 10 PCs (+/- dataset-specific technical covariates) | — |
| PPM012753 | PGS002243 (ldpred_t2d) |
PSS009530| African Ancestry| 1,535 individuals |
PGP000271 | Mars N et al. Cell Genom (2022) |
Reported Trait: Type 2 diabetes | OR: 1.24 [1.09, 1.42] | — | — | age, sex, 10 PCs (+/- dataset-specific technical covariates) | — |
| PPM012757 | PGS002243 (ldpred_t2d) |
PSS009542| European Ancestry| 343,676 individuals |
PGP000271 | Mars N et al. Cell Genom (2022) |
Reported Trait: Type 2 diabetes | OR: 1.78 [1.75, 1.81] | — | — | age, sex, 10 PCs (+/- dataset-specific technical covariates) | — |
| PPM012762 | PGS002243 (ldpred_t2d) |
PSS009538| African Ancestry| 7,618 individuals |
PGP000271 | Mars N et al. Cell Genom (2022) |
Reported Trait: Type 2 diabetes | OR: 1.46 [1.32, 1.62] | — | — | age, sex, 10 PCs (+/- dataset-specific technical covariates) | — |
| PPM012767 | PGS002243 (ldpred_t2d) |
PSS009546| South Asian Ancestry| 7,628 individuals |
PGP000271 | Mars N et al. Cell Genom (2022) |
Reported Trait: Type 2 diabetes | OR: 1.66 [1.55, 1.79] | — | — | age, sex, 10 PCs (+/- dataset-specific technical covariates) | — |
| PPM012805 | PGS002252 (PRS_CRC) |
PSS009566| European Ancestry| 7,376 individuals |
PGP000279 | Archambault AN et al. J Natl Cancer Inst (2022) |
Reported Trait: Early-onset colorectal cancer | OR: 1.59 [1.51, 1.68] | AUROC: 0.628 [0.613, 0.644] | — | Age, sex, genotype platform, family history, principal components | — |
| PPM012806 | PGS002252 (PRS_CRC) |
PSS009566| European Ancestry| 7,376 individuals |
PGP000279 | Archambault AN et al. J Natl Cancer Inst (2022) |
Reported Trait: Early-onset colorectal cancer (men) | — | AUROC: 0.61 [0.592, 0.651] | — | Age, family history, genotype platform, principal components | — |
| PPM012807 | PGS002252 (PRS_CRC) |
PSS009566| European Ancestry| 7,376 individuals |
PGP000279 | Archambault AN et al. J Natl Cancer Inst (2022) |
Reported Trait: Early-onset colorectal cancer (women) | — | AUROC: 0.633 [0.612, 0.655] | — | Age, family history, genotype platform, principal components | — |
| PPM012808 | PGS002252 (PRS_CRC) |
PSS009566| European Ancestry| 7,376 individuals |
PGP000279 | Archambault AN et al. J Natl Cancer Inst (2022) |
Reported Trait: Proximal colon cancer | OR: 1.38 [1.27, 1.5] | AUROC: 0.592 [0.554, 0.63] | — | Age, family history, genotype platform, principal components | — |
| PPM012809 | PGS002252 (PRS_CRC) |
PSS009566| European Ancestry| 7,376 individuals |
PGP000279 | Archambault AN et al. J Natl Cancer Inst (2022) |
Reported Trait: Distal colon cancer | OR: 1.73 [1.6, 1.87] | AUROC: 0.643 [0.614, 0.671] | — | Age, family history, genotype platform, principal components | — |
| PPM012810 | PGS002252 (PRS_CRC) |
PSS009566| European Ancestry| 7,376 individuals |
PGP000279 | Archambault AN et al. J Natl Cancer Inst (2022) |
Reported Trait: Rectal cancer | OR: 1.67 [1.55, 1.8] | AUROC: 0.654 [0.63, 0.68] | — | Age, family history, genotype platform, principal components | — |
| PPM012834 | PGS002256 (GRS4_GDM) |
PSS009573| East Asian Ancestry| 985 individuals |
PGP000282 | Wu Q et al. Diabetol Metab Syndr (2022) |
Reported Trait: Gestational diabetes mellitus in early pregnancy | — | AUROC: 0.62 [0.573, 0.667] | — | — | — |
| PPM012888 | PGS002264 (PRS_Combined) |
PSS009595| Ancestry Not Reported| 11,462 individuals |
PGP000293 | Sharma S et al. Gastroenterology (2022) |
Reported Trait: Incident pancreatic ductal adenocarcinoma | — | AUROC: 0.605 [0.587, 0.623] | Positive predictive values (PPV highest quintile): 14.4 [13, 15.9] | — | — |
| PPM012894 | PGS002264 (PRS_Combined) |
PSS009600| Ancestry Not Reported| 206 individuals |
PGP000293 | Sharma S et al. Gastroenterology (2022) |
Reported Trait: Incident pancreatic ductal adenocarcinoma (with long-standing diabetes mellitus) | — | — | Positive predictive values (PPV highest quintile): 0.239 [0.181, 0.303] | — | — |
| PPM012892 | PGS002264 (PRS_Combined) |
PSS009598| Ancestry Not Reported| 10,259 individuals |
PGP000293 | Sharma S et al. Gastroenterology (2022) |
Reported Trait: Incident pancreatic ductal adenocarcinoma (without diabetes mellitus) | — | AUROC: 0.594 [0.573, 0.614] | Positive predictive values (PPV highest quintile): 0.119 [0.105, 0.134] | — | — |
| PPM012895 | PGS002264 (PRS_Combined) |
PSS009600| Ancestry Not Reported| 206 individuals |
PGP000293 | Sharma S et al. Gastroenterology (2022) |
Reported Trait: Incident pancreatic ductal adenocarcinoma (with long-standing diabetes mellitus) | OR: 1.873 [1.53, 2.292] | — | — | principal components (PC 1-10) | — |
| PPM012896 | PGS002264 (PRS_Combined) |
PSS009601| Ancestry Not Reported| 998 individuals |
PGP000293 | Sharma S et al. Gastroenterology (2022) |
Reported Trait: Incident pancreatic ductal adenocarcinoma (with new onset diabetes mellitus) | — | — | Positive predictive values (PPV highest quintile): 0.867 [0.732, 0.949] | — | — |
| PPM012897 | PGS002264 (PRS_Combined) |
PSS009601| Ancestry Not Reported| 998 individuals |
PGP000293 | Sharma S et al. Gastroenterology (2022) |
Reported Trait: Incident pancreatic ductal adenocarcinoma (with new onset diabetes mellitus) | OR: 1.885 [1.279, 2.778] | — | — | principal components (PC 1-10) | — |
| PPM012898 | PGS002264 (PRS_Combined) |
PSS009596| Ancestry Not Reported| 1,203 individuals |
PGP000293 | Sharma S et al. Gastroenterology (2022) |
Reported Trait: Incident pancreatic ductal adenocarcinoma (with diabetes mellitus) | OR: 1.674 [1.443, 1.942] | — | — | principal components (PC 1-10) | — |
| PPM012899 | PGS002264 (PRS_Combined) |
PSS009596| Ancestry Not Reported| 1,203 individuals |
PGP000293 | Sharma S et al. Gastroenterology (2022) |
Reported Trait: Incident pancreatic ductal adenocarcinoma (with diabetes mellitus) | — | AUROC: 0.645 | — | — | — |
| PPM012900 | PGS002264 (PRS_Combined) |
PSS009597| Ancestry Not Reported| 242 individuals |
PGP000293 | Sharma S et al. Gastroenterology (2022) |
Reported Trait: Incident pancreatic ductal adenocarcinoma (< 60 years) | OR: 1.633 [1.292, 2.064] | — | — | principal components (PC 1-10) | — |
| PPM012901 | PGS002264 (PRS_Combined) |
PSS009599| Ancestry Not Reported| 274 individuals |
PGP000293 | Sharma S et al. Gastroenterology (2022) |
Reported Trait: Incident pancreatic ductal adenocarcinoma (60 years) | OR: 1.538 [1.287, 1.837] | — | — | principal components (PC 1-10) | — |
| PPM012893 | PGS002264 (PRS_Combined) |
PSS009598| Ancestry Not Reported| 10,259 individuals |
PGP000293 | Sharma S et al. Gastroenterology (2022) |
Reported Trait: Incident pancreatic ductal adenocarcinoma (without diabetes mellitus) | OR: 1.386 [1.288, 1.492] | — | — | principal components (PC 1-10) | — |
| PPM012889 | PGS002264 (PRS_Combined) |
PSS009595| Ancestry Not Reported| 11,462 individuals |
PGP000293 | Sharma S et al. Gastroenterology (2022) |
Reported Trait: Incident pancreatic ductal adenocarcinoma | — | — | HR (highest vs lowest quintile): 2.738 [2.227, 3.365] | Smoking (never, current and previous), waist circumference (cm), DM onset (No DM, NODM, LSDM) and first-degree family history of digestive cancer (yes/no) | — |
| PPM012890 | PGS002264 (PRS_Combined) |
PSS009595| Ancestry Not Reported| 11,462 individuals |
PGP000293 | Sharma S et al. Gastroenterology (2022) |
Reported Trait: Incident pancreatic ductal adenocarcinoma | — | AUROC: 0.83 [0.8, 0.86] | — | Age of participants at recruitment, age when DM diagnosed, DM onset (No DM, NODM, LSDM), waist circumference (cm), and first-degree family history of digestive cancer (yes/no)., clinical risk | — |
| PPM012891 | PGS002264 (PRS_Combined) |
PSS009595| Ancestry Not Reported| 11,462 individuals |
PGP000293 | Sharma S et al. Gastroenterology (2022) |
Reported Trait: Incident pancreatic ductal adenocarcinoma | OR: 1.43 | — | — | principal components (PC 1-10) | — |
| PPM013009 | PGS002265 (PRS140_CRC) |
PSS009645| Ancestry Not Reported| 8,405 individuals |
PGP000319 | Guo F et al. Clin Gastroenterol Hepatol (2022) |Ext. |
Reported Trait: Risk of colorectal cancer | — | — | Odds ratio (OR, high vs low): 2.61 [2.33, 2.93] | Age, sex, education, body mass index, participation in a health check-up, family history of colorectal cancer, smoking, ever regular use of nonsteroidal anti-inflammatory drugs, and ever regular use of hormone replacement therapy | — |
| PPM014884 | PGS002265 (PRS140_CRC) |
PSS009918| European Ancestry| 5,306 individuals |
PGP000350 | Niedermaier T et al. Cancer Prev Res (Phila) (2022) |Ext. |
Reported Trait: Advanced colorectal neoplasia (Ridascreen model) | OR: 1.025 β: 0.02451 |
AUROC: 0.524 [0.499, 0.55] | — | — | — |
| PPM014885 | PGS002265 (PRS140_CRC) |
PSS009918| European Ancestry| 5,306 individuals |
PGP000350 | Niedermaier T et al. Cancer Prev Res (Phila) (2022) |Ext. |
Reported Trait: Advanced colorectal neoplasia (FOB Gold model) | OR: 1.036 β: 0.03518 |
AUROC: 0.53 [0.516, 0.545] | — | — | — |
| PPM018664 | PGS002265 (PRS140_CRC) |
PSS011059| European Ancestry| 72,791 individuals |
PGP000294 | Thomas M et al. Am J Hum Genet (2020) |
Reported Trait: Colorectal cancer | — | AUROC: 0.629 [0.613, 0.645] | Hazard Ratio (HR, top 30% of PGS vs. remainder): 1.92 [1.75, 2.23] | age, sex | — |
| PPM018665 | PGS002265 (PRS140_CRC) |
PSS011058| East Asian Ancestry| 6,966 individuals |
PGP000294 | Thomas M et al. Am J Hum Genet (2020) |
Reported Trait: Colorectal cancer | — | AUROC: 0.591 [0.536, 0.625] | — | age, sex | — |
| PPM018666 | PGS002265 (PRS140_CRC) |
PSS011060| Hispanic or Latin American Ancestry| 6,660 individuals |
PGP000294 | Thomas M et al. Am J Hum Genet (2020) |
Reported Trait: Colorectal cancer | — | AUROC: 0.592 [0.531, 0.652] | — | age, sex | — |
| PPM018667 | PGS002265 (PRS140_CRC) |
PSS011057| African Ancestry| 5,249 individuals |
PGP000294 | Thomas M et al. Am J Hum Genet (2020) |
Reported Trait: Colorectal cancer | — | AUROC: 0.581 [0.5, 0.645] | — | age, sex | — |
| PPM018668 | PGS002265 (PRS140_CRC) |
PSS011061| European Ancestry| 38,214 individuals |
PGP000294 | Thomas M et al. Am J Hum Genet (2020) |
Reported Trait: Colorectal cancer | — | AUROC: 0.591 | — | age, sex | — |
| PPM020729 | PGS002265 (PRS140_CRC) |
PSS011386| Ancestry Not Reported| 3,025 individuals |
PGP000573 | Niedermaier T et al. Cancer Commun (Lond) (2023) |Ext. |
Reported Trait: Colorectal cancer | — | AUROC: 0.615 [0.529, 0.7] | — | — | — |
| PPM020730 | PGS002265 (PRS140_CRC) |
PSS011386| Ancestry Not Reported| 3,025 individuals |
PGP000573 | Niedermaier T et al. Cancer Commun (Lond) (2023) |Ext. |
Reported Trait: Advanced adenoma | — | AUROC: 0.589 [0.562, 0.616] | — | — | — |
| PPM020731 | PGS002265 (PRS140_CRC) |
PSS011386| Ancestry Not Reported| 3,025 individuals |
PGP000573 | Niedermaier T et al. Cancer Commun (Lond) (2023) |Ext. |
Reported Trait: Non-advanced adenoma | — | AUROC: 0.555 [0.534, 0.576] | — | — | — |
| PPM020732 | PGS002265 (PRS140_CRC) |
PSS011386| Ancestry Not Reported| 3,025 individuals |
PGP000573 | Niedermaier T et al. Cancer Commun (Lond) (2023) |Ext. |
Reported Trait: Any advanced neoplasms | — | AUROC: 0.591 [0.564, 0.617] | — | — | — |
| PPM020733 | PGS002265 (PRS140_CRC) |
PSS011386| Ancestry Not Reported| 3,025 individuals |
PGP000573 | Niedermaier T et al. Cancer Commun (Lond) (2023) |Ext. |
Reported Trait: Any advanced neoplasms (50 - 59 years) | — | AUROC: 0.586 [0.544, 0.628] | — | — | — |
| PPM020734 | PGS002265 (PRS140_CRC) |
PSS011386| Ancestry Not Reported| 3,025 individuals |
PGP000573 | Niedermaier T et al. Cancer Commun (Lond) (2023) |Ext. |
Reported Trait: Any advanced neoplasms (60 - 79 years) | — | AUROC: 0.597 [0.563, 0.631] | — | — | — |
| PPM020735 | PGS002265 (PRS140_CRC) |
PSS011386| Ancestry Not Reported| 3,025 individuals |
PGP000573 | Niedermaier T et al. Cancer Commun (Lond) (2023) |Ext. |
Reported Trait: Any advanced neoplasms (men) | — | AUROC: 0.593 [0.558, 0.629] | — | — | — |
| PPM020736 | PGS002265 (PRS140_CRC) |
PSS011386| Ancestry Not Reported| 3,025 individuals |
PGP000573 | Niedermaier T et al. Cancer Commun (Lond) (2023) |Ext. |
Reported Trait: Any advanced neoplasms (women) | — | AUROC: 0.593 [0.553, 0.633] | — | — | — |
| PPM020737 | PGS002265 (PRS140_CRC) |
PSS011386| Ancestry Not Reported| 3,025 individuals |
PGP000573 | Niedermaier T et al. Cancer Commun (Lond) (2023) |Ext. |
Reported Trait: Any advanced neoplasms (family history) | — | AUROC: 0.555 [0.471 - 0.639 | — | — | — |
| PPM020738 | PGS002265 (PRS140_CRC) |
PSS011386| Ancestry Not Reported| 3,025 individuals |
PGP000573 | Niedermaier T et al. Cancer Commun (Lond) (2023) |Ext. |
Reported Trait: Any advanced neoplasms (non family history) | — | AUROC: 0.599 [0.57, 0.627] | — | — | — |
| PPM020739 | PGS002265 (PRS140_CRC) |
PSS011386| Ancestry Not Reported| 3,025 individuals |
PGP000573 | Niedermaier T et al. Cancer Commun (Lond) (2023) |Ext. |
Reported Trait: Any advanced neoplasms (previous colonoscopy) | — | AUROC: 0.607 [0.551, 0.663] | — | — | — |
| PPM020740 | PGS002265 (PRS140_CRC) |
PSS011386| Ancestry Not Reported| 3,025 individuals |
PGP000573 | Niedermaier T et al. Cancer Commun (Lond) (2023) |Ext. |
Reported Trait: Any advanced neoplasms (no previous colonoscopy) | — | AUROC: 0.585 [0.555, 0.616] | — | — | — |
| PPM020902 | PGS002265 (PRS140_CRC) |
PSS011444| Multi-ancestry (including European)| 4,035 individuals |
PGP000601 | Niedermaier T et al. Clin Transl Gastroenterol (2022) |Ext. |
Reported Trait: Advanced neoplasia (colorectal cancer or advanced adenoma) | — | — | Positive predictive value (PPV, highest PRS tertile): 39.0 [36.0, 42.0] | — | Intermediate (90% specificity) FIT cutoff. |
| PPM020901 | PGS002265 (PRS140_CRC) |
PSS011445| Multi-ancestry (including European)| 1,271 individuals |
PGP000601 | Niedermaier T et al. Clin Transl Gastroenterol (2022) |Ext. |
Reported Trait: Advanced neoplasia (colorectal cancer or advanced adenoma) | — | — | Positive predictive value (PPV, highest PRS tertile): 37.0 [31.0, 43.0] | — | Intermediate (90% specificity) FIT cutoff. |
| PPM012948 | PGS002277 (pPS_Insulin_secretion_1) |
PSS009629| South Asian Ancestry| 5,806 individuals |
PGP000305 | Siddiqui MK et al. Diabetologia (2022) |
Reported Trait: Age at diagnosis (normal BMI) | β: 37.31 (16.7) | — | R²: 0.012 | — | — |
| PPM012947 | PGS002277 (pPS_Insulin_secretion_1) |
PSS009629| South Asian Ancestry| 5,806 individuals |
PGP000305 | Siddiqui MK et al. Diabetologia (2022) |
Reported Trait: Age at diagnosis | — | — | Z: 5.2 | — | Z-score p-value < 0.0001 |
| PPM012949 | PGS002277 (pPS_Insulin_secretion_1) |
PSS009629| South Asian Ancestry| 5,806 individuals |
PGP000305 | Siddiqui MK et al. Diabetologia (2022) |
Reported Trait: Age at diagnosis (overweight BMI) | β: 32.68 (20.7) | — | R²: 0.0097 | — | — |
| PPM012950 | PGS002277 (pPS_Insulin_secretion_1) |
PSS009629| South Asian Ancestry| 5,806 individuals |
PGP000305 | Siddiqui MK et al. Diabetologia (2022) |
Reported Trait: Age at diagnosis (obese BMI) | β: 18.9 (10.76) | — | R²: 0.0036 | — | — |
| PPM012973 | PGS002282 (GRS68_NAFLD) |
PSS009638| European Ancestry| 25,716 individuals |
PGP000312 | Schnurr TM et al. Hepatol Commun (2022) |
Reported Trait: ALT levels | β: 0.13 (0.002) | — | — | — | — |
| PPM012975 | PGS002282 (GRS68_NAFLD) |
PSS009638| European Ancestry| 25,716 individuals |
PGP000312 | Schnurr TM et al. Hepatol Commun (2022) |
Reported Trait: ALT levels x physical activity interaction | β: -0.28 (0.053) | — | — | — | — |
| PPM012976 | PGS002282 (GRS68_NAFLD) |
PSS009638| European Ancestry| 25,716 individuals |
PGP000312 | Schnurr TM et al. Hepatol Commun (2022) |
Reported Trait: ALT levels x grip strength interaction | β: -0.0067 (0.002) | — | — | — | — |
| PPM012977 | PGS002282 (GRS68_NAFLD) |
PSS009638| European Ancestry| 25,716 individuals |
PGP000312 | Schnurr TM et al. Hepatol Commun (2022) |
Reported Trait: ALT levels x BMI interaction | β: 0.037 (0.002) | — | — | — | — |
| PPM012981 | PGS002282 (GRS68_NAFLD) |
PSS009638| European Ancestry| 25,716 individuals |
PGP000312 | Schnurr TM et al. Hepatol Commun (2022) |
Reported Trait: Nonalcoholic fatty liver disease in those with normal weight and high level of physical activity | — | — | Odds Ratio (OR, high vs. low GRS): 1.6 | Sex, age, socioeconomic status, assessment center, genotyping array, and the first 10 principal components | — |
| PPM012974 | PGS002283 (GRS15_NAFLD) |
PSS009638| European Ancestry| 25,716 individuals |
PGP000312 | Schnurr TM et al. Hepatol Commun (2022) |
Reported Trait: ALT levels | β: 0.094 (0.002) | — | — | — | — |
| PPM012978 | PGS002283 (GRS15_NAFLD) |
PSS009638| European Ancestry| 25,716 individuals |
PGP000312 | Schnurr TM et al. Hepatol Commun (2022) |
Reported Trait: ALT levels x physical activity interaction | β: -0.3 (0.053) | — | — | — | — |
| PPM012979 | PGS002283 (GRS15_NAFLD) |
PSS009638| European Ancestry| 25,716 individuals |
PGP000312 | Schnurr TM et al. Hepatol Commun (2022) |
Reported Trait: ALT levels x grip strength interaction | β: -0.011 (0.002) | — | — | — | — |
| PPM012980 | PGS002283 (GRS15_NAFLD) |
PSS009638| European Ancestry| 25,716 individuals |
PGP000312 | Schnurr TM et al. Hepatol Commun (2022) |
Reported Trait: ALT levels x BMI interaction | β: 0.039 (0.002) | — | — | — | — |
| PPM013027 | PGS002298 (PRS14_esophageal) |
PSS009661| European Ancestry| 406 individuals |
PGP000328 | Choi J et al. Int J Cancer (2020) |
Reported Trait: Esophageal cancer | — | AUROC: 0.53 [0.51, 0.56] | — | — | — |
| PPM013028 | PGS002299 (PRS3_gastric) |
PSS009662| European Ancestry| 272 individuals |
PGP000328 | Choi J et al. Int J Cancer (2020) |
Reported Trait: Gastric cancer | — | AUROC: 0.56 [0.54, 0.58] | — | — | — |
| PPM013036 | PGS002299 (PRS3_gastric) |
PSS009662| European Ancestry| 272 individuals |
PGP000328 | Choi J et al. Int J Cancer (2020) |
Reported Trait: Gastric cancer | — | — | Hazard ratio (HR top 5% vs average): 1.27 [0.75, 2.15] | Age, birth cohort, genotyping array, top 10 PCs for ancestry and sex (for nonsex specific cancer only) | — |
| PPM013067 | PGS002308 (PRScsx_T2D) |
PSS009671| African Ancestry| 6,745 individuals |
PGP000331 | Ge T et al. Genome Med (2022) |
Reported Trait: Type 2 diabetes | OR: 1.7 [1.58, 1.84] | AUROC: 0.631 | R²: 0.046 | age, sex, top 10 PCs | — |
| PPM013064 | PGS002308 (PRScsx_T2D) |
PSS009677| European Ancestry| 54,793 individuals |
PGP000331 | Ge T et al. Genome Med (2022) |
Reported Trait: Type 2 diabetes | OR: 1.96 [1.91, 2.02] | AUROC: 0.793 | R²: 0.092 | age, sex, top 10 PCs, study site | — |
| PPM013065 | PGS002308 (PRScsx_T2D) |
PSS009676| African Ancestry| 12,472 individuals |
PGP000331 | Ge T et al. Genome Med (2022) |
Reported Trait: Type 2 diabetes | OR: 1.54 [1.46, 1.64] | AUROC: 0.848 | R²: 0.028 | age, sex, top 10 PCs, study site | — |
| PPM013066 | PGS002308 (PRScsx_T2D) |
PSS009678| Hispanic or Latin American Ancestry| 2,374 individuals |
PGP000331 | Ge T et al. Genome Med (2022) |
Reported Trait: Type 2 diabetes | OR: 2.08 [1.84, 2.35] | AUROC: 0.851 | R²: 0.08 | age, sex, top 10 PCs, study site | — |
| PPM013068 | PGS002308 (PRScsx_T2D) |
PSS009669| African Ancestry| 5,498 individuals |
PGP000331 | Ge T et al. Genome Med (2022) |
Reported Trait: Type 2 diabetes | OR: 1.85 [1.7, 2.01] | AUROC: 0.633 | R²: 0.036 | age, sex, top 10 PCs | — |
| PPM013069 | PGS002308 (PRScsx_T2D) |
PSS009670| African Ancestry| 1,896 individuals |
PGP000331 | Ge T et al. Genome Med (2022) |
Reported Trait: Type 2 diabetes | OR: 1.75 [1.52, 2.02] | AUROC: 0.757 | R²: 0.062 | age, sex, top 10 PCs | — |
| PPM013070 | PGS002308 (PRScsx_T2D) |
PSS009675| African Ancestry| 655 individuals |
PGP000331 | Ge T et al. Genome Med (2022) |
Reported Trait: Type 2 diabetes | OR: 1.37 [1.13, 1.65] | AUROC: 0.631 | R²: 0.015 | age, sex, top 10 PCs | — |
| PPM013071 | PGS002308 (PRScsx_T2D) |
PSS009672| East Asian Ancestry| 25,110 individuals |
PGP000331 | Ge T et al. Genome Med (2022) |
Reported Trait: Type 2 diabetes | OR: 2.19 [2.05, 2.33] | AUROC: 0.81 | R²: 0.151 | age, sex, top 10 PCs | — |
| PPM013072 | PGS002308 (PRScsx_T2D) |
PSS009673| East Asian Ancestry| 54,078 individuals |
PGP000331 | Ge T et al. Genome Med (2022) |
Reported Trait: Type 2 diabetes | OR: 2.01 [1.93, 2.1] | AUROC: 0.781 | R²: 0.129 | age, sex, top 10 PCs | — |
| PPM013073 | PGS002308 (PRScsx_T2D) |
PSS009674| East Asian Ancestry| 10,378 individuals |
PGP000331 | Ge T et al. Genome Med (2022) |
Reported Trait: Type 2 diabetes | OR: 2.16 [1.96, 2.38] | AUROC: 0.802 | R²: 0.153 | age, sex, top 10 PCs | — |
| PPM013086 | PGS002321 (disease_DIABETES_ANY_DIAGNOSED.BOLT-LMM) |
PSS009727| African Ancestry| 6,430 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model vs. covariates alone): 0.005 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013135 | PGS002321 (disease_DIABETES_ANY_DIAGNOSED.BOLT-LMM) |
PSS009728| East Asian Ancestry| 898 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model vs. covariates alone): 0.006 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013184 | PGS002321 (disease_DIABETES_ANY_DIAGNOSED.BOLT-LMM) |
PSS009729| European Ancestry| 43,355 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model vs. covariates alone): 0.0159 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013233 | PGS002321 (disease_DIABETES_ANY_DIAGNOSED.BOLT-LMM) |
PSS009730| South Asian Ancestry| 7,926 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model vs. covariates alone): 0.028 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013089 | PGS002324 (disease_ENDOCRINE_DIABETES.BOLT-LMM) |
PSS009739| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model vs. covariates alone): 0.0025 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013138 | PGS002324 (disease_ENDOCRINE_DIABETES.BOLT-LMM) |
PSS009740| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model vs. covariates alone): 0.0029 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013187 | PGS002324 (disease_ENDOCRINE_DIABETES.BOLT-LMM) |
PSS009741| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model vs. covariates alone): 0.0101 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013236 | PGS002324 (disease_ENDOCRINE_DIABETES.BOLT-LMM) |
PSS009742| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model vs. covariates alone): 0.0219 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013119 | PGS002354 (disease_T2D.BOLT-LMM) |
PSS009859| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0047 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013168 | PGS002354 (disease_T2D.BOLT-LMM) |
PSS009860| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0025 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013217 | PGS002354 (disease_T2D.BOLT-LMM) |
PSS009861| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0135 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013266 | PGS002354 (disease_T2D.BOLT-LMM) |
PSS009862| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0218 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013291 | PGS002379 (disease_T2D.BOLT-LMM-BBJ) |
PSS009859| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0008 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013314 | PGS002379 (disease_T2D.BOLT-LMM-BBJ) |
PSS009860| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0148 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013360 | PGS002379 (disease_T2D.BOLT-LMM-BBJ) |
PSS009862| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0091 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013337 | PGS002379 (disease_T2D.BOLT-LMM-BBJ) |
PSS009861| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0026 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013374 | PGS002393 (disease_DIABETES_ANY_DIAGNOSED.P+T.0.0001) |
PSS009727| African Ancestry| 6,430 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013423 | PGS002393 (disease_DIABETES_ANY_DIAGNOSED.P+T.0.0001) |
PSS009728| East Asian Ancestry| 898 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model vs. covariates alone): 0.0017 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013472 | PGS002393 (disease_DIABETES_ANY_DIAGNOSED.P+T.0.0001) |
PSS009729| European Ancestry| 43,355 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013521 | PGS002393 (disease_DIABETES_ANY_DIAGNOSED.P+T.0.0001) |
PSS009730| South Asian Ancestry| 7,926 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013377 | PGS002396 (disease_ENDOCRINE_DIABETES.P+T.0.0001) |
PSS009739| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013426 | PGS002396 (disease_ENDOCRINE_DIABETES.P+T.0.0001) |
PSS009740| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model vs. covariates alone): 0.0008 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013475 | PGS002396 (disease_ENDOCRINE_DIABETES.P+T.0.0001) |
PSS009741| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013524 | PGS002396 (disease_ENDOCRINE_DIABETES.P+T.0.0001) |
PSS009742| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013407 | PGS002426 (disease_T2D.P+T.0.0001) |
PSS009859| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013505 | PGS002426 (disease_T2D.P+T.0.0001) |
PSS009861| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013554 | PGS002426 (disease_T2D.P+T.0.0001) |
PSS009862| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013456 | PGS002426 (disease_T2D.P+T.0.0001) |
PSS009860| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0032 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013570 | PGS002442 (disease_DIABETES_ANY_DIAGNOSED.P+T.0.001) |
PSS009727| African Ancestry| 6,430 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013619 | PGS002442 (disease_DIABETES_ANY_DIAGNOSED.P+T.0.001) |
PSS009728| East Asian Ancestry| 898 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model vs. covariates alone): 0.0056 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013717 | PGS002442 (disease_DIABETES_ANY_DIAGNOSED.P+T.0.001) |
PSS009730| South Asian Ancestry| 7,926 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013668 | PGS002442 (disease_DIABETES_ANY_DIAGNOSED.P+T.0.001) |
PSS009729| European Ancestry| 43,355 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013622 | PGS002445 (disease_ENDOCRINE_DIABETES.P+T.0.001) |
PSS009740| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model vs. covariates alone): 0.0026 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013671 | PGS002445 (disease_ENDOCRINE_DIABETES.P+T.0.001) |
PSS009741| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013720 | PGS002445 (disease_ENDOCRINE_DIABETES.P+T.0.001) |
PSS009742| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013573 | PGS002445 (disease_ENDOCRINE_DIABETES.P+T.0.001) |
PSS009739| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013603 | PGS002475 (disease_T2D.P+T.0.001) |
PSS009859| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013652 | PGS002475 (disease_T2D.P+T.0.001) |
PSS009860| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0041 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013701 | PGS002475 (disease_T2D.P+T.0.001) |
PSS009861| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013750 | PGS002475 (disease_T2D.P+T.0.001) |
PSS009862| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013766 | PGS002491 (disease_DIABETES_ANY_DIAGNOSED.P+T.0.01) |
PSS009727| African Ancestry| 6,430 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model vs. covariates alone): 0.0002 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013815 | PGS002491 (disease_DIABETES_ANY_DIAGNOSED.P+T.0.01) |
PSS009728| East Asian Ancestry| 898 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model vs. covariates alone): 0.0047 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013864 | PGS002491 (disease_DIABETES_ANY_DIAGNOSED.P+T.0.01) |
PSS009729| European Ancestry| 43,355 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013913 | PGS002491 (disease_DIABETES_ANY_DIAGNOSED.P+T.0.01) |
PSS009730| South Asian Ancestry| 7,926 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013769 | PGS002494 (disease_ENDOCRINE_DIABETES.P+T.0.01) |
PSS009739| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model vs. covariates alone): 0.0002 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013867 | PGS002494 (disease_ENDOCRINE_DIABETES.P+T.0.01) |
PSS009741| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013916 | PGS002494 (disease_ENDOCRINE_DIABETES.P+T.0.01) |
PSS009742| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013818 | PGS002494 (disease_ENDOCRINE_DIABETES.P+T.0.01) |
PSS009740| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model vs. covariates alone): 0.0026 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013799 | PGS002524 (disease_T2D.P+T.0.01) |
PSS009859| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0002 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013848 | PGS002524 (disease_T2D.P+T.0.01) |
PSS009860| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0033 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013897 | PGS002524 (disease_T2D.P+T.0.01) |
PSS009861| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013946 | PGS002524 (disease_T2D.P+T.0.01) |
PSS009862| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013962 | PGS002540 (disease_DIABETES_ANY_DIAGNOSED.P+T.1e-06) |
PSS009727| African Ancestry| 6,430 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014011 | PGS002540 (disease_DIABETES_ANY_DIAGNOSED.P+T.1e-06) |
PSS009728| East Asian Ancestry| 898 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model vs. covariates alone): 0.0002 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014060 | PGS002540 (disease_DIABETES_ANY_DIAGNOSED.P+T.1e-06) |
PSS009729| European Ancestry| 43,355 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014109 | PGS002540 (disease_DIABETES_ANY_DIAGNOSED.P+T.1e-06) |
PSS009730| South Asian Ancestry| 7,926 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model vs. covariates alone): 0.0008 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013965 | PGS002543 (disease_ENDOCRINE_DIABETES.P+T.1e-06) |
PSS009739| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014014 | PGS002543 (disease_ENDOCRINE_DIABETES.P+T.1e-06) |
PSS009740| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014063 | PGS002543 (disease_ENDOCRINE_DIABETES.P+T.1e-06) |
PSS009741| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014112 | PGS002543 (disease_ENDOCRINE_DIABETES.P+T.1e-06) |
PSS009742| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model vs. covariates alone): 0.0003 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014093 | PGS002573 (disease_T2D.P+T.1e-06) |
PSS009861| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013995 | PGS002573 (disease_T2D.P+T.1e-06) |
PSS009859| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014044 | PGS002573 (disease_T2D.P+T.1e-06) |
PSS009860| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014142 | PGS002573 (disease_T2D.P+T.1e-06) |
PSS009862| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014305 | PGS002589 (disease_DIABETES_ANY_DIAGNOSED.P+T.5e-08) |
PSS009730| South Asian Ancestry| 7,926 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model vs. covariates alone): 0.0009 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014158 | PGS002589 (disease_DIABETES_ANY_DIAGNOSED.P+T.5e-08) |
PSS009727| African Ancestry| 6,430 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014207 | PGS002589 (disease_DIABETES_ANY_DIAGNOSED.P+T.5e-08) |
PSS009728| East Asian Ancestry| 898 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model vs. covariates alone): 0.0009 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014256 | PGS002589 (disease_DIABETES_ANY_DIAGNOSED.P+T.5e-08) |
PSS009729| European Ancestry| 43,355 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014161 | PGS002592 (disease_ENDOCRINE_DIABETES.P+T.5e-08) |
PSS009739| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014210 | PGS002592 (disease_ENDOCRINE_DIABETES.P+T.5e-08) |
PSS009740| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014308 | PGS002592 (disease_ENDOCRINE_DIABETES.P+T.5e-08) |
PSS009742| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model vs. covariates alone): 0.0005 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014259 | PGS002592 (disease_ENDOCRINE_DIABETES.P+T.5e-08) |
PSS009741| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014191 | PGS002622 (disease_T2D.P+T.5e-08) |
PSS009859| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014240 | PGS002622 (disease_T2D.P+T.5e-08) |
PSS009860| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0002 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014289 | PGS002622 (disease_T2D.P+T.5e-08) |
PSS009861| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014338 | PGS002622 (disease_T2D.P+T.5e-08) |
PSS009862| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014354 | PGS002638 (disease_DIABETES_ANY_DIAGNOSED.PolyFun-pred) |
PSS009727| African Ancestry| 6,430 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.005 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See disease_DIABETES_ANY_DIAGNOSED.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014403 | PGS002638 (disease_DIABETES_ANY_DIAGNOSED.PolyFun-pred) |
PSS009728| East Asian Ancestry| 898 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0097 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See disease_DIABETES_ANY_DIAGNOSED.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014452 | PGS002638 (disease_DIABETES_ANY_DIAGNOSED.PolyFun-pred) |
PSS009729| European Ancestry| 43,355 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0136 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See disease_DIABETES_ANY_DIAGNOSED.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014501 | PGS002638 (disease_DIABETES_ANY_DIAGNOSED.PolyFun-pred) |
PSS009730| South Asian Ancestry| 7,926 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0339 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See disease_DIABETES_ANY_DIAGNOSED.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014357 | PGS002641 (disease_ENDOCRINE_DIABETES.PolyFun-pred) |
PSS009739| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0025 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See disease_ENDOCRINE_DIABETES.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014455 | PGS002641 (disease_ENDOCRINE_DIABETES.PolyFun-pred) |
PSS009741| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0105 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See disease_ENDOCRINE_DIABETES.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014504 | PGS002641 (disease_ENDOCRINE_DIABETES.PolyFun-pred) |
PSS009742| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0244 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See disease_ENDOCRINE_DIABETES.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014406 | PGS002641 (disease_ENDOCRINE_DIABETES.PolyFun-pred) |
PSS009740| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0029 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See disease_ENDOCRINE_DIABETES.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014387 | PGS002671 (disease_T2D.PolyFun-pred) |
PSS009859| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0047 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See disease_T2D.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014436 | PGS002671 (disease_T2D.PolyFun-pred) |
PSS009860| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0072 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See disease_T2D.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014485 | PGS002671 (disease_T2D.PolyFun-pred) |
PSS009861| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0128 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See disease_T2D.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014534 | PGS002671 (disease_T2D.PolyFun-pred) |
PSS009862| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0251 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See disease_T2D.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014599 | PGS002687 (disease_DIABETES_ANY_DIAGNOSED.SBayesR) |
PSS009728| East Asian Ancestry| 898 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model vs. covariates alone): 0.005 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014648 | PGS002687 (disease_DIABETES_ANY_DIAGNOSED.SBayesR) |
PSS009729| European Ancestry| 43,355 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model vs. covariates alone): 0.0145 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014697 | PGS002687 (disease_DIABETES_ANY_DIAGNOSED.SBayesR) |
PSS009730| South Asian Ancestry| 7,926 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model vs. covariates alone): 0.0281 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014550 | PGS002687 (disease_DIABETES_ANY_DIAGNOSED.SBayesR) |
PSS009727| African Ancestry| 6,430 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Diabetes (any type) | — | — | Incremental R2 (full model vs. covariates alone): 0.0057 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014602 | PGS002690 (disease_ENDOCRINE_DIABETES.SBayesR) |
PSS009740| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model vs. covariates alone): 0.0034 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014553 | PGS002690 (disease_ENDOCRINE_DIABETES.SBayesR) |
PSS009739| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model vs. covariates alone): 0.0046 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014651 | PGS002690 (disease_ENDOCRINE_DIABETES.SBayesR) |
PSS009741| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model vs. covariates alone): 0.0094 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014700 | PGS002690 (disease_ENDOCRINE_DIABETES.SBayesR) |
PSS009742| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Endocrine and diabetes diseases | — | — | Incremental R2 (full model vs. covariates alone): 0.0221 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014583 | PGS002720 (disease_T2D.SBayesR) |
PSS009859| African Ancestry| 6,503 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.006 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014632 | PGS002720 (disease_T2D.SBayesR) |
PSS009860| East Asian Ancestry| 922 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0021 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014681 | PGS002720 (disease_T2D.SBayesR) |
PSS009861| European Ancestry| 43,505 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0129 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014730 | PGS002720 (disease_T2D.SBayesR) |
PSS009862| South Asian Ancestry| 8,098 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (full model vs. covariates alone): 0.0207 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014821 | PGS002733 (GRS17_T2D) |
PSS009902| European Ancestry| 600 individuals |
PGP000342 | Pezzilli S et al. Diabetes Metab (2022) |
Reported Trait: Early-onset type 2 diabetes | OR: 1.09 [1.01, 1.18] | — | — | — | — |
| PPM014822 | PGS002733 (GRS17_T2D) |
PSS009902| European Ancestry| 600 individuals |
PGP000342 | Pezzilli S et al. Diabetes Metab (2022) |
Reported Trait: Early-onset type 2 diabetes in rare variant carriers | OR: 1.45 [1.15, 1.57] | — | — | — | — |
| PPM014823 | PGS002733 (GRS17_T2D) |
PSS009902| European Ancestry| 600 individuals |
PGP000342 | Pezzilli S et al. Diabetes Metab (2022) |
Reported Trait: Early-onset type 2 diabetes in rare variant non-carriers | OR: 1.06 [1.01, 1.13] | — | — | — | — |
| PPM014844 | PGS002740 (PRS22_PC) |
PSS009913| European Ancestry| 13,952 individuals |
PGP000347 | Yuan C et al. Ann Oncol (2022) |
Reported Trait: Pancreatic cancer in those aged <= 60 years | — | — | Odds ratio (OR, top vs bottom 10%): 6.91 [4.6, 10.4] | — | — |
| PPM014843 | PGS002740 (PRS22_PC) |
PSS009913| European Ancestry| 13,952 individuals |
PGP000347 | Yuan C et al. Ann Oncol (2022) |
Reported Trait: Pancreatic cancer in those aged >70 years | — | — | Odds ratio (OR, top vs bottom 10%): 4.12 [3.08, 5.52] | — | — |
| PPM014906 | PGS002742 (PRS115_EAS) |
PSS009924| East Asian Ancestry| 1,454 individuals |
PGP000354 | Ping J et al. Int J Cancer (2022) |
Reported Trait: Colorectal cancer | OR: 1.63 [1.46, 1.83] | AUROC: 0.63 [0.6, 0.66] | — | — | — |
| PPM014909 | PGS002742 (PRS115_EAS) |
PSS009923| East Asian Ancestry| 1,736 individuals |
PGP000354 | Ping J et al. Int J Cancer (2022) |
Reported Trait: Colorectal cancer | OR: 1.51 [1.37, 1.67] | AUROC: 0.61 [0.59, 0.64] | — | — | — |
| PPM014907 | PGS002743 (PRS115_EUR) |
PSS009924| East Asian Ancestry| 1,454 individuals |
PGP000354 | Ping J et al. Int J Cancer (2022) |
Reported Trait: Colorectal cancer | OR: 1.44 [1.29, 1.6] | AUROC: 0.6 [0.57, 0.63] | — | — | — |
| PPM014910 | PGS002743 (PRS115_EUR) |
PSS009923| East Asian Ancestry| 1,736 individuals |
PGP000354 | Ping J et al. Int J Cancer (2022) |
Reported Trait: Colorectal cancer | OR: 1.39 [1.26, 1.53] | AUROC: 0.59 [0.56, 0.61] | — | — | — |
| PPM014908 | PGS002744 (PRS115_EUR_EAS) |
PSS009924| East Asian Ancestry| 1,454 individuals |
PGP000354 | Ping J et al. Int J Cancer (2022) |
Reported Trait: Colorectal cancer | OR: 1.68 [1.5, 1.89] | AUROC: 0.64 [0.61, 0.67] | — | — | — |
| PPM014911 | PGS002744 (PRS115_EUR_EAS) |
PSS009923| East Asian Ancestry| 1,736 individuals |
PGP000354 | Ping J et al. Int J Cancer (2022) |
Reported Trait: Colorectal cancer | OR: 1.5 [1.36, 1.66] | AUROC: 0.61 [0.58, 0.64] | — | — | — |
| PPM014926 | PGS002747 (PRS_GI) |
PSS009932| European Ancestry| 430,036 individuals |
PGP000359 | Liu Y et al. Cancer Med (2022) |
Reported Trait: Incident gastrointestinal cancer | — | — | Hazard Ratio (HR, high vs low): 2.28 [2.09, 2.49] | Age group, gender, qualification, Townsend Deprivation Index, family history of cancer, smoking status, alcohol consumption and the top 10 genetic principal components | — |
| PPM014927 | PGS002747 (PRS_GI) |
PSS009932| European Ancestry| 430,036 individuals |
PGP000359 | Liu Y et al. Cancer Med (2022) |
Reported Trait: Incident gastrointestinal cancer (with metabolic syndrome) | — | — | Hazard Ratio (HR, high vs low): 2.75 [2.43, 3.12] | — | — |
| PPM014958 | PGS002758 (Colorectal_cancer_prscs) |
PSS009939| European Ancestry| 39,444 individuals |
PGP000364 | Mars N et al. Am J Hum Genet (2022) |
Reported Trait: Colorectal cancer | OR: 1.61 [1.46, 1.77] | — | — | age, sex, 10 PCs, technical covariates | — |
| PPM014971 | PGS002771 (Type_2_diabetes_prscs) |
PSS009939| European Ancestry| 39,444 individuals |
PGP000364 | Mars N et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 diabetes | OR: 1.88 [1.82, 1.95] | — | — | age, sex, 10 PCs, technical covariates | — |
| PPM014979 | PGS002779 (GTG_T2D_maxCT) |
PSS009943| European Ancestry| 5,472 individuals |
PGP000365 | Wong CK et al. PLoS One (2022) |
Reported Trait: Incident type 2 diabetes | OR: 1.35 [1.25, 1.45] | AUROC: 0.585 [0.564, 0.605] | — | — | — |
| PPM014980 | PGS002780 (GTG_T2D_SCT) |
PSS009943| European Ancestry| 5,472 individuals |
PGP000365 | Wong CK et al. PLoS One (2022) |
Reported Trait: Incident type 2 diabetes | OR: 1.41 [1.31, 1.51] | AUROC: 0.595 [0.575, 0.615] | — | — | — |
| PPM015993 | PGS003089 (ExPRSweb_T2D_2443_LASSOSUM_MGI_20211120) |
PSS010014| European Ancestry| 21,356 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 1.524 [1.468, 1.583] β: 0.422 (0.0191) |
AUROC: 0.616 [0.6, 0.63] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015996 | PGS003090 (ExPRSweb_T2D_2443_PT_MGI_20211120) |
PSS010014| European Ancestry| 21,356 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 1.425 [1.373, 1.479] β: 0.354 (0.0191) |
AUROC: 0.599 [0.582, 0.615] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015994 | PGS003091 (ExPRSweb_T2D_2443_PLINK_MGI_20211120) |
PSS010014| European Ancestry| 21,356 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 1.379 [1.329, 1.431] β: 0.321 (0.0189) |
AUROC: 0.591 [0.574, 0.606] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015992 | PGS003092 (ExPRSweb_T2D_2443_DBSLMM_MGI_20211120) |
PSS010014| European Ancestry| 21,356 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 1.275 [1.23, 1.321] β: 0.243 (0.0184) |
AUROC: 0.563 [0.546, 0.58] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015995 | PGS003093 (ExPRSweb_T2D_2443_PRSCS_MGI_20211120) |
PSS010014| European Ancestry| 21,356 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 1.6 [1.539, 1.664] β: 0.47 (0.0199) |
AUROC: 0.625 [0.608, 0.639] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015999 | PGS003094 (ExPRSweb_T2D_29358691-GCST005413_LASSOSUM_MGI_20211120) |
PSS010014| European Ancestry| 21,356 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 1.333 [1.286, 1.382] β: 0.287 (0.0184) |
AUROC: 0.589 [0.572, 0.604] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM016005 | PGS003095 (ExPRSweb_T2D_29358691-GCST005413_PT_MGI_20211120) |
PSS010014| European Ancestry| 21,356 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 1.239 [1.196, 1.284] β: 0.214 (0.0181) |
AUROC: 0.562 [0.546, 0.578] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM016001 | PGS003096 (ExPRSweb_T2D_29358691-GCST005413_PLINK_MGI_20211120) |
PSS010014| European Ancestry| 21,356 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 1.232 [1.189, 1.277] β: 0.209 (0.0181) |
AUROC: 0.56 [0.545, 0.576] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015997 | PGS003097 (ExPRSweb_T2D_29358691-GCST005413_DBSLMM_MGI_20211120) |
PSS010014| European Ancestry| 21,356 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 1.011 [0.976, 1.047] β: 0.011 (0.0181) |
AUROC: 0.5 [0.484, 0.517] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM016003 | PGS003098 (ExPRSweb_T2D_29358691-GCST005413_PRSCS_MGI_20211120) |
PSS010014| European Ancestry| 21,356 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 1.358 [1.31, 1.408] β: 0.306 (0.0183) |
AUROC: 0.593 [0.577, 0.608] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM016009 | PGS003099 (ExPRSweb_T2D_30054458-GCST006867_LASSOSUM_MGI_20211120) |
PSS010014| European Ancestry| 21,356 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 1.657 [1.595, 1.722] β: 0.505 (0.0196) |
AUROC: 0.626 [0.609, 0.641] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM016015 | PGS003100 (ExPRSweb_T2D_30054458-GCST006867_PT_MGI_20211120) |
PSS010014| European Ancestry| 21,356 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 1.531 [1.474, 1.591] β: 0.426 (0.0193) |
AUROC: 0.6 [0.585, 0.616] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM016011 | PGS003101 (ExPRSweb_T2D_30054458-GCST006867_PLINK_MGI_20211120) |
PSS010014| European Ancestry| 21,356 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 1.531 [1.474, 1.591] β: 0.426 (0.0193) |
AUROC: 0.6 [0.585, 0.616] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM016007 | PGS003102 (ExPRSweb_T2D_30054458-GCST006867_DBSLMM_MGI_20211120) |
PSS010014| European Ancestry| 21,356 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 1.639 [1.577, 1.703] β: 0.494 (0.0196) |
AUROC: 0.628 [0.611, 0.643] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM016013 | PGS003103 (ExPRSweb_T2D_30054458-GCST006867_PRSCS_MGI_20211120) |
PSS010014| European Ancestry| 21,356 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 1.704 [1.639, 1.772] β: 0.533 (0.0198) |
AUROC: 0.637 [0.621, 0.653] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM016019 | PGS003104 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_LASSOSUM_MGI_20211120) |
PSS010014| European Ancestry| 21,356 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 1.536 [1.479, 1.596] β: 0.429 (0.0195) |
AUROC: 0.611 [0.595, 0.626] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM016025 | PGS003105 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_PT_MGI_20211120) |
PSS010014| European Ancestry| 21,356 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 1.33 [1.283, 1.379] β: 0.285 (0.0184) |
AUROC: 0.572 [0.555, 0.588] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM016021 | PGS003106 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_PLINK_MGI_20211120) |
PSS010014| European Ancestry| 21,356 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 1.33 [1.283, 1.379] β: 0.285 (0.0184) |
AUROC: 0.572 [0.555, 0.588] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM016017 | PGS003107 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_DBSLMM_MGI_20211120) |
PSS010014| European Ancestry| 21,356 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 1.028 [0.992, 1.065] β: 0.0276 (0.0182) |
AUROC: 0.541 [0.523, 0.557] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM016023 | PGS003108 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_PRSCS_MGI_20211120) |
PSS010014| European Ancestry| 21,356 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 1.563 [1.504, 1.624] β: 0.446 (0.0195) |
AUROC: 0.61 [0.594, 0.625] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM016000 | PGS003109 (ExPRSweb_T2D_29358691-GCST005413_LASSOSUM_UKB_20211120) |
PSS010036| European Ancestry| 203,197 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 1.522 [1.491, 1.554] β: 0.42 (0.0106) |
AUROC: 0.616 [0.61, 0.622] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
| PPM016006 | PGS003110 (ExPRSweb_T2D_29358691-GCST005413_PT_UKB_20211120) |
PSS010036| European Ancestry| 203,197 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 1.406 [1.378, 1.435] β: 0.341 (0.0103) |
AUROC: 0.594 [0.588, 0.6] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
| PPM016002 | PGS003111 (ExPRSweb_T2D_29358691-GCST005413_PLINK_UKB_20211120) |
PSS010036| European Ancestry| 203,197 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 1.392 [1.364, 1.42] β: 0.331 (0.0103) |
AUROC: 0.59 [0.584, 0.596] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
| PPM015998 | PGS003112 (ExPRSweb_T2D_29358691-GCST005413_DBSLMM_UKB_20211120) |
PSS010036| European Ancestry| 203,197 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 1.01 [0.989, 1.031] β: 0.00976 (0.0104) |
AUROC: 0.501 [0.495, 0.507] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
| PPM016004 | PGS003113 (ExPRSweb_T2D_29358691-GCST005413_PRSCS_UKB_20211120) |
PSS010036| European Ancestry| 203,197 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 1.522 [1.491, 1.554] β: 0.42 (0.0106) |
AUROC: 0.616 [0.611, 0.622] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
| PPM016010 | PGS003114 (ExPRSweb_T2D_30054458-GCST006867_LASSOSUM_UKB_20211120) |
PSS010036| European Ancestry| 203,197 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 3.959 [3.866, 4.055] β: 1.38 (0.0121) |
AUROC: 0.825 [0.82, 0.829] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
| PPM016016 | PGS003115 (ExPRSweb_T2D_30054458-GCST006867_PT_UKB_20211120) |
PSS010036| European Ancestry| 203,197 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 3.755 [3.669, 3.844] β: 1.32 (0.0119) |
AUROC: 0.816 [0.811, 0.82] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
| PPM016012 | PGS003116 (ExPRSweb_T2D_30054458-GCST006867_PLINK_UKB_20211120) |
PSS010036| European Ancestry| 203,197 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 3.755 [3.669, 3.844] β: 1.32 (0.0119) |
AUROC: 0.816 [0.811, 0.82] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
| PPM016008 | PGS003117 (ExPRSweb_T2D_30054458-GCST006867_DBSLMM_UKB_20211120) |
PSS010036| European Ancestry| 203,197 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 3.061 [2.992, 3.132] β: 1.12 (0.0116) |
AUROC: 0.778 [0.774, 0.783] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
| PPM016014 | PGS003118 (ExPRSweb_T2D_30054458-GCST006867_PRSCS_UKB_20211120) |
PSS010036| European Ancestry| 203,197 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 3.193 [3.12, 3.268] β: 1.16 (0.0118) |
AUROC: 0.786 [0.782, 0.791] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
| PPM016020 | PGS003119 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_LASSOSUM_UKB_20211120) |
PSS010036| European Ancestry| 203,197 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 1.662 [1.628, 1.698] β: 0.508 (0.0107) |
AUROC: 0.639 [0.634, 0.645] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
| PPM016026 | PGS003120 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_PT_UKB_20211120) |
PSS010036| European Ancestry| 203,197 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 1.451 [1.421, 1.48] β: 0.372 (0.0104) |
AUROC: 0.603 [0.597, 0.609] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
| PPM016022 | PGS003121 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_PLINK_UKB_20211120) |
PSS010036| European Ancestry| 203,197 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 1.451 [1.421, 1.48] β: 0.372 (0.0104) |
AUROC: 0.603 [0.597, 0.609] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
| PPM016018 | PGS003122 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_DBSLMM_UKB_20211120) |
PSS010036| European Ancestry| 203,197 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 1.009 [0.988, 1.03] β: 0.00858 (0.0105) |
AUROC: 0.547 [0.541, 0.552] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
| PPM016024 | PGS003123 (ExPRSweb_T2D_METAANALYSIS-DIAGRAM_PRSCS_UKB_20211120) |
PSS010036| European Ancestry| 203,197 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Type 2 Diabetes | OR: 1.715 [1.679, 1.752] β: 0.539 (0.0107) |
AUROC: 0.648 [0.642, 0.654] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
| PPM016201 | PGS003353 (GRS_T2D) |
PSS010055| East Asian Ancestry| 22,608 individuals |
PGP000405 | Kim YJ et al. Nat Commun (2022) |
Reported Trait: Fasting plasma glucose | OR: 1.83 [1.59, 2.11] | — | — | — | — |
| PPM016202 | PGS003353 (GRS_T2D) |
PSS010055| East Asian Ancestry| 22,608 individuals |
PGP000405 | Kim YJ et al. Nat Commun (2022) |
Reported Trait: Hemoglobin A1c level | OR: 1.68 [1.46, 1.93] | — | — | — | — |
| PPM016203 | PGS003353 (GRS_T2D) |
PSS010055| East Asian Ancestry| 22,608 individuals |
PGP000405 | Kim YJ et al. Nat Commun (2022) |
Reported Trait: Type 2 diabetes | OR: 2.99 [2.61, 3.44] | — | — | — | — |
| PPM016204 | PGS003353 (GRS_T2D) |
PSS010055| East Asian Ancestry| 22,608 individuals |
PGP000405 | Kim YJ et al. Nat Commun (2022) |
Reported Trait: Fasting plasma glucose and Type 2 diabetes | OR: 3.52 [2.69, 4.61] | — | — | — | — |
| PPM016261 | PGS003386 (best_COADREAD) |
PSS010076| European Ancestry| 274,069 individuals |
PGP000413 | Namba S et al. Cancer Res (2022) |
Reported Trait: colorectal cancer | — | AUROC: 0.724 | R²: 0.0115 | age, sex, top 20 genetic principal components | — |
| PPM016262 | PGS003387 (best_ESCA_BEEA) |
PSS010077| European Ancestry| 270,026 individuals |
PGP000413 | Namba S et al. Cancer Res (2022) |
Reported Trait: esophageal adenocarcinoma | — | AUROC: 0.819 | R²: 0.0123 | age, sex, top 20 genetic principal components | — |
| PPM016263 | PGS003388 (best_ESCA_EA) |
PSS010077| European Ancestry| 270,026 individuals |
PGP000413 | Namba S et al. Cancer Res (2022) |
Reported Trait: esophageal adenocarcinoma | — | AUROC: 0.814 | R²: 0.00875 | age, sex, top 20 genetic principal components | — |
| PPM016277 | PGS003395 (PRScsx_CRC) |
PSS010093| East Asian Ancestry| 2,179 individuals |
PGP000414 | Xin J et al. Genome Med (2023) |
Reported Trait: Incident colorectal cancer | OR: 1.73 [1.56, 1.91] | AUROC: 0.646 | — | sex, age and principal components | — |
| PPM016278 | PGS003395 (PRScsx_CRC) |
PSS010092| European Ancestry| 2,573 individuals |
PGP000414 | Xin J et al. Genome Med (2023) |
Reported Trait: Incident colorectal cancer | OR: 1.48 [1.36, 1.62] | AUROC: 0.608 | — | sex, age and principal components | — |
| PPM016279 | PGS003395 (PRScsx_CRC) |
PSS010094| European Ancestry| 355,543 individuals |
PGP000414 | Xin J et al. Genome Med (2023) |
Reported Trait: Incident colorectal cancer | HR: 1.42 [1.37, 1.48] | AUROC: 0.597 | — | sex, age, center and principal components | — |
| PPM017036 | PGS003402 (PRS_T2D) |
PSS010101| South Asian Ancestry| 3,712 individuals |
PGP000419 | Lamri A et al. Elife (2022) |
Reported Trait: Fasting glucose x BMI interaction | β: 89.0 | — | — | age, BMI, education level, birth region (South Asia vs. other), parity, parental history of diabetes, and genetic PC axes 1-5 | — |
| PPM017037 | PGS003402 (PRS_T2D) |
PSS010101| South Asian Ancestry| 3,712 individuals |
PGP000419 | Lamri A et al. Elife (2022) |
Reported Trait: Fasting glucose x Born in South Asia interaction | β: 84.0 | — | — | age, BMI, education level, birth region (South Asia vs. other), parity, parental history of diabetes, and genetic PC axes 1-5 | — |
| PPM017038 | PGS003402 (PRS_T2D) |
PSS010101| South Asian Ancestry| 3,712 individuals |
PGP000419 | Lamri A et al. Elife (2022) |
Reported Trait: Fasting glucose x Low diet quality interaction (only in START cohort) | β: 0.141 [0.053, 0.228] | — | — | age, BMI, education level, birth region (South Asia vs. other), parity, parental history of diabetes, and genetic PC axes 1-5 | — |
| PPM017039 | PGS003402 (PRS_T2D) |
PSS010101| South Asian Ancestry| 3,712 individuals |
PGP000419 | Lamri A et al. Elife (2022) |
Reported Trait: AUC glucose x BMI interaction | β: 77.0 | — | — | age, BMI, education level, birth region (South Asia vs. other), parity, parental history of diabetes, and genetic PC axes 1-5 | — |
| PPM017040 | PGS003402 (PRS_T2D) |
PSS010101| South Asian Ancestry| 3,712 individuals |
PGP000419 | Lamri A et al. Elife (2022) |
Reported Trait: GDM (IADPSG criteria) x BMI interaction | OR: 0.0 | — | — | age, BMI, education level, birth region (South Asia vs. other), parity, parental history of diabetes, and genetic PC axes 1-5 | — |
| PPM017032 | PGS003402 (PRS_T2D) |
PSS010101| South Asian Ancestry| 3,712 individuals |
PGP000419 | Lamri A et al. Elife (2022) |
Reported Trait: Fasting glucose | β: 0.085 [0.067, 0.103] | — | — | first five principal components (PCs) | — |
| PPM017033 | PGS003402 (PRS_T2D) |
PSS010101| South Asian Ancestry| 3,712 individuals |
PGP000419 | Lamri A et al. Elife (2022) |
Reported Trait: 2h postload glucose | β: 0.207 [0.157, 0.257] | — | — | first five principal components (PCs) | — |
| PPM017034 | PGS003402 (PRS_T2D) |
PSS010101| South Asian Ancestry| 3,712 individuals |
PGP000419 | Lamri A et al. Elife (2022) |
Reported Trait: AUC glucose | β: 0.155 [0.125, 0.184] | — | — | first five principal components (PCs) | — |
| PPM017035 | PGS003402 (PRS_T2D) |
PSS010101| South Asian Ancestry| 3,712 individuals |
PGP000419 | Lamri A et al. Elife (2022) |
Reported Trait: GDM (IADPSG criteria) | OR: 1.45 [1.32, 1.6] | — | — | first five principal components (PCs) | — |
| PPM017117 | PGS003431 (LDPred2-inf) |
PSS010132| European Ancestry| 34,152 individuals |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Reported Trait: Colorectal cancer | — | AUROC: 0.726 [0.704, 0.748] | R²: 7.0 [5.7, 8.4] | age, sex, PC1-4, array | Dxy, scaled Brier, calibration slope and CITL available in source publication |
| PPM017123 | PGS003431 (LDPred2-inf) |
PSS010133| European Ancestry| 33,893 individuals |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Reported Trait: Incident Colorectal cancer | — | C-index: 0.715 [0.686, 0.743] | R²: 27.0 [21.7, 32.1] | age, sex, PC1-4, array | Dxy, D statistic, scaled Brier, calibration slope, available in source publication |
| PPM017129 | PGS003431 (LDPred2-inf) |
PSS010134| Multi-ancestry (excluding European)| 27,503 individuals |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Reported Trait: Colorectal cancer | — | AUROC: 0.588 [0.545, 0.627] | — | age, sex, PC1-4, array | Dxy, scaled Brier, calibration slope and CITL available in source publication |
| PPM017135 | PGS003431 (LDPred2-inf) |
PSS010135| Multi-ancestry (excluding European)| 27,310 individuals |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Reported Trait: Incident Colorectal cancer | — | C-index: 0.647 [0.593, 0.7] | R²: 17.2 [9.2, 27.9] | age, sex, PC1-4, array | Dxy, D statistic, scaled Brier, calibration slope, available in source publication |
| PPM017105 | PGS003431 (LDPred2-inf) |
PSS010130| European Ancestry| 280,664 individuals |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Reported Trait: Colorectal cancer | OR: 1.435 [1.391, 1.48] | AUROC: 0.704 [0.697, 0.712] | R²: 5.5 [5.1, 5.9] | age, sex, PC1-4, array | Apparent performance presented, results for internal validation presented in source publication. Dxy and scaled Brier available in source publication |
| PPM017111 | PGS003431 (LDPred2-inf) |
PSS010131| European Ancestry| 278,493 individuals |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Reported Trait: incident Colorectal cancer | HR: 1.368 [1.31, 1.428] | C-index: 0.696 [0.685, 0.707] | R²: 22.0 [20.1, 24.0] | age, sex, PC1-4, array | Apparent performance presented, results for internal validation presented in source publication. Dxy, D statistic, and scaled Brier available in source publication |
| PPM017106 | PGS003432 (LDPred2-grid) |
PSS010130| European Ancestry| 280,664 individuals |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Reported Trait: Colorectal cancer | OR: 1.584 [1.536, 1.633] | AUROC: 0.717 [0.711, 0.725] | R²: 6.3 [5.9, 6.8] | age, sex, PC1-4, array | Apparent performance presented, results for internal validation presented in source publication. Dxy and scaled Brier available in source publication |
| PPM017118 | PGS003432 (LDPred2-grid) |
PSS010132| European Ancestry| 34,152 individuals |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Reported Trait: Colorectal cancer | — | AUROC: 0.732 [0.71, 0.752] | R²: 7.6 [6.1, 8.9] | age, sex, PC1-4, array | Dxy, scaled Brier, calibration slope and CITL available in source publication |
| PPM017124 | PGS003432 (LDPred2-grid) |
PSS010133| European Ancestry| 33,893 individuals |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Reported Trait: Incident Colorectal cancer | — | C-index: 0.724 [0.696, 0.751] | R²: 28.3 [23.2, 33.3] | age, sex, PC1-4, array | Dxy, D statistic, scaled Brier, calibration slope, available in source publication |
| PPM017130 | PGS003432 (LDPred2-grid) |
PSS010134| Multi-ancestry (excluding European)| 27,503 individuals |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Reported Trait: Colorectal cancer | — | AUROC: 0.602 [0.558, 0.64] | — | age, sex, PC1-4, array | Dxy, scaled Brier, calibration slope and CITL available in source publication |
| PPM017136 | PGS003432 (LDPred2-grid) |
PSS010135| Multi-ancestry (excluding European)| 27,310 individuals |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Reported Trait: Incident Colorectal cancer | — | C-index: 0.666 [0.61, 0.72] | R²: 20.3 [11.5, 31.1] | age, sex, PC1-4, array | Dxy, D statistic, scaled Brier, calibration slope, available in source publication |
| PPM017112 | PGS003432 (LDPred2-grid) |
PSS010131| European Ancestry| 278,493 individuals |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Reported Trait: incident Colorectal cancer | HR: 1.563 [1.498, 1.631] | C-index: 0.714 [0.704, 0.726] | R²: 25.6 [23.8, 27.8] | age, sex, PC1-4, array | Apparent performance presented, results for internal validation presented in source publication. Dxy, D statistic, and scaled Brier available in source publication |
| PPM017107 | PGS003433 (LDPred2-grid-sp) |
PSS010130| European Ancestry| 280,664 individuals |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Reported Trait: Colorectal cancer | OR: 1.571 [1.524, 1.62] | AUROC: 0.716 [0.71, 0.723] | R²: 6.2 [5.8, 6.7] | age, sex, PC1-4, array | Apparent performance presented, results for internal validation presented in source publication. Dxy and scaled Brier available in source publication |
| PPM017119 | PGS003433 (LDPred2-grid-sp) |
PSS010132| European Ancestry| 34,152 individuals |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Reported Trait: Colorectal cancer | — | AUROC: 0.733 [0.71, 0.753] | R²: 7.6 [6.1, 8.9] | age, sex, PC1-4, array | Dxy, scaled Brier, calibration slope and CITL available in source publication |
| PPM017125 | PGS003433 (LDPred2-grid-sp) |
PSS010133| European Ancestry| 33,893 individuals |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Reported Trait: Incident Colorectal cancer | — | C-index: 0.725 [0.696, 0.752] | R²: 28.5 [23.4, 33.7] | age, sex, PC1-4, array | Dxy, D statistic, scaled Brier, calibration slope, available in source publication |
| PPM017131 | PGS003433 (LDPred2-grid-sp) |
PSS010134| Multi-ancestry (excluding European)| 27,503 individuals |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Reported Trait: Colorectal cancer | — | AUROC: 0.601 [0.559, 0.64] | — | age, sex, PC1-4, array | Dxy, scaled Brier, calibration slope and CITL available in source publication |
| PPM017137 | PGS003433 (LDPred2-grid-sp) |
PSS010135| Multi-ancestry (excluding European)| 27,310 individuals |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Reported Trait: Incident Colorectal cancer | — | C-index: 0.664 [0.609, 0.718] | R²: 20.2 [11.4, 30.7] | age, sex, PC1-4, array | Dxy, D statistic, scaled Brier, calibration slope, available in source publication |
| PPM017141 | PGS003433 (LDPred2-grid-sp) |
PSS010129| Multi-ancestry (excluding European)| 196,091 individuals |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Reported Trait: Incident Colorectal cancer in men | — | C-index: 0.73 [0.72, 0.741] | R²: 28.2 [26.3, 30.1] For top 20% absolute risk sensitivity: 47.8 % specificty: 80.3 % |
QCancer-10 score | Apparent performance presented, results for internal validation presented in source publication. Dxy, D statistic, and scaled Brier available in source publication |
| PPM017142 | PGS003433 (LDPred2-grid-sp) |
PSS010128| Multi-ancestry (excluding European)| 238,496 individuals |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Reported Trait: incident Colorectal cancer in females | — | C-index: 0.687 [0.673, 0.702] | R²: 21.0 [18.7, 23.7] For top 20% absolute risk sensitivity: 42.7 % specificty: 80.1 % |
QCancer-10 score | Apparent performance presented, results for internal validation presented in source publication. Dxy, D statistic, and scaled Brier available in source publication |
| PPM017113 | PGS003433 (LDPred2-grid-sp) |
PSS010131| European Ancestry| 278,493 individuals |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Reported Trait: incident Colorectal cancer | HR: 1.545 [1.48, 1.612] | C-index: 0.712 [0.702, 0.723] | R²: 25.3 [23.4, 27.3] | age, sex, PC1-4, array | Apparent performance presented, results for internal validation presented in source publication. Dxy, D statistic, and scaled Brier available in source publication |
| PPM017108 | PGS003434 (SCT) |
PSS010130| European Ancestry| 280,664 individuals |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Reported Trait: Colorectal cancer | OR: 1.417 [1.375, 1.461] | AUROC: 0.702 [0.695, 0.711] | R²: 5.4 [5.0, 5.9] | age, sex, PC1-4, array | Apparent performance presented, results for internal validation presented in source publication. Dxy and scaled Brier available in source publication |
| PPM017114 | PGS003434 (SCT) |
PSS010131| European Ancestry| 278,493 individuals |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Reported Trait: incident Colorectal cancer | HR: 1.378 [1.321, 1.438] | C-index: 0.695 [0.685, 0.706] | R²: 22.3 [20.3, 24.4] | age, sex, PC1-4, array | Apparent performance presented, results for internal validation presented in source publication. Dxy, D statistic, and scaled Brier available in source publication |
| PPM017120 | PGS003434 (SCT) |
PSS010132| European Ancestry| 34,152 individuals |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Reported Trait: Colorectal cancer | — | AUROC: 0.718 [0.696, 0.739] | R²: 6.4 [5.0, 7.7] | age, sex, PC1-4, array | Dxy, scaled Brier, calibration slope and CITL available in source publication |
| PPM017126 | PGS003434 (SCT) |
PSS010133| European Ancestry| 33,893 individuals |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Reported Trait: Incident Colorectal cancer | — | C-index: 0.713 [0.686, 0.74] | R²: 25.1 [20.2, 30.2] | age, sex, PC1-4, array | Dxy, D statistic, scaled Brier, calibration slope, available in source publication |
| PPM017132 | PGS003434 (SCT) |
PSS010134| Multi-ancestry (excluding European)| 27,503 individuals |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Reported Trait: Colorectal cancer | — | AUROC: 0.589 [0.546, 0.626] | — | age, sex, PC1-4, array | Dxy, scaled Brier, calibration slope and CITL available in source publication |
| PPM017138 | PGS003434 (SCT) |
PSS010135| Multi-ancestry (excluding European)| 27,310 individuals |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Reported Trait: Incident Colorectal cancer | — | C-index: 0.65 [0.596, 0.705] | R²: 17.4 [8.9, 28.1] | age, sex, PC1-4, array | Dxy, D statistic, scaled Brier, calibration slope, available in source publication |
| PPM017109 | PGS003435 (CT) |
PSS010130| European Ancestry| 280,664 individuals |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Reported Trait: Colorectal cancer | OR: 1.425 [1.382, 1.47] | AUROC: 0.704 [0.697, 0.711] | R²: 5.4 [5.1, 5.9] | age, sex, PC1-4, array | Apparent performance presented, results for internal validation presented in source publication. Dxy and scaled Brier available in source publication |
| PPM017115 | PGS003435 (CT) |
PSS010131| European Ancestry| 278,493 individuals |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Reported Trait: incident Colorectal cancer | HR: 1.397 [1.338, 1.459] | C-index: 0.698 [0.689, 0.709] | R²: 22.4 [20.6, 24.4] | age, sex, PC1-4, array | Apparent performance presented, results for internal validation presented in source publication. Dxy, D statistic, and scaled Brier available in source publication |
| PPM017121 | PGS003435 (CT) |
PSS010132| European Ancestry| 34,152 individuals |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Reported Trait: Colorectal cancer | — | AUROC: 0.719 [0.696, 0.74] | R²: 6.6 [5.2, 7.9] | age, sex, PC1-4, array | Dxy, scaled Brier, calibration slope and CITL available in source publication |
| PPM017127 | PGS003435 (CT) |
PSS010133| European Ancestry| 33,893 individuals |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Reported Trait: Incident Colorectal cancer | — | C-index: 0.707 [0.681, 0.734] | R²: 25.1 [20.0, 30.3] | age, sex, PC1-4, array | Dxy, D statistic, scaled Brier, calibration slope, available in source publication |
| PPM017133 | PGS003435 (CT) |
PSS010134| Multi-ancestry (excluding European)| 27,503 individuals |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Reported Trait: Colorectal cancer | — | AUROC: 0.597 [0.554, 0.636] | — | age, sex, PC1-4, array | Dxy, scaled Brier, calibration slope and CITL available in source publication |
| PPM017139 | PGS003435 (CT) |
PSS010135| Multi-ancestry (excluding European)| 27,310 individuals |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Reported Trait: Incident Colorectal cancer | — | C-index: 0.658 [0.606, 0.71] | R²: 18.7 [10.0, 29.4] | age, sex, PC1-4, array | Dxy, D statistic, scaled Brier, calibration slope, available in source publication |
| PPM017110 | PGS003436 (GWAS-sig) |
PSS010130| European Ancestry| 280,664 individuals |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Reported Trait: Colorectal cancer | OR: 1.39 [1.348, 1.433] | AUROC: 0.7 [0.693, 0.707] | R²: 5.3 [4.9, 5.7] | age, sex, PC1-4, array | Apparent performance presented, results for internal validation presented in source publication. Dxy and scaled Brier available in source publication |
| PPM017116 | PGS003436 (GWAS-sig) |
PSS010131| European Ancestry| 278,493 individuals |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Reported Trait: incident Colorectal cancer | HR: 1.377 [1.32, 1.436] | C-index: 0.695 [0.685, 0.706] | R²: 22.2 [20.2, 24.4] | age, sex, PC1-4, array | Apparent performance presented, results for internal validation presented in source publication. Dxy, D statistic, and scaled Brier available in source publication |
| PPM017122 | PGS003436 (GWAS-sig) |
PSS010132| European Ancestry| 34,152 individuals |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Reported Trait: Colorectal cancer | — | AUROC: 0.703 [0.679, 0.724] | R²: 5.4 [4.0, 6.7] | age, sex, PC1-4, array | Dxy, scaled Brier, calibration slope and CITL available in source publication |
| PPM017128 | PGS003436 (GWAS-sig) |
PSS010133| European Ancestry| 33,893 individuals |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Reported Trait: Incident Colorectal cancer | — | C-index: 0.701 [0.675, 0.729] | R²: 23.8 [19.0, 29.4] | age, sex, PC1-4, array | Dxy, D statistic, scaled Brier, calibration slope, available in source publication |
| PPM017134 | PGS003436 (GWAS-sig) |
PSS010134| Multi-ancestry (excluding European)| 27,503 individuals |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Reported Trait: Colorectal cancer | — | AUROC: 0.587 [0.543, 0.624] | — | age, sex, PC1-4, array | Dxy, scaled Brier, calibration slope and CITL available in source publication |
| PPM017140 | PGS003436 (GWAS-sig) |
PSS010135| Multi-ancestry (excluding European)| 27,310 individuals |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Reported Trait: Incident Colorectal cancer | — | C-index: 0.659 [0.605, 0.715] | R²: 19.1 [10.3, 29.9] | age, sex, PC1-4, array | Dxy, D statistic, scaled Brier, calibration slope, available in source publication |
| PPM017143 | PGS003436 (GWAS-sig) |
PSS010129| Multi-ancestry (excluding European)| 196,091 individuals |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Reported Trait: Incident Colorectal cancer in men | — | C-index: 0.715 [0.706, 0.726] | R²: 25.6 [23.9, 27.5] For top 20% absolute risk sensitivity: 44.4 % specificty: 80.2 % |
QCancer-10 score | Apparent performance presented, results for internal validation presented in source publication. Dxy, D statistic, and scaled Brier available in source publication |
| PPM017144 | PGS003436 (GWAS-sig) |
PSS010128| Multi-ancestry (excluding European)| 238,496 individuals |
PGP000438 | Briggs SEW et al. BMJ (2022) |
Reported Trait: incident Colorectal cancer in females | — | C-index: 0.669 [0.655, 0.683] | R²: 17.0 [14.8, 19.3] For top 20% absolute risk sensitivity: 39.2 % specificty: 80.1 % |
QCancer-10 score | Apparent performance presented, results for internal validation presented in source publication. Dxy, D statistic, and scaled Brier available in source publication |
| PPM017158 | PGS003439 (PRSCC_140) |
PSS010138| European Ancestry| 66,282 individuals |
PGP000441 | Su YR et al. Cancer Epidemiol Biomarkers Prev (2023) |
Reported Trait: 5 year colorectal cancer risk | — | AUROC: 0.73 [0.71, 0.76] | — | age, first-degree CRC family history, sex, endoscopy history | — |
| PPM017159 | PGS003439 (PRSCC_140) |
PSS010138| European Ancestry| 66,282 individuals |
PGP000441 | Su YR et al. Cancer Epidemiol Biomarkers Prev (2023) |
Reported Trait: 10 year colorectal cancer risk | — | AUROC: 0.72 [0.7, 0.74] | — | age, first-degree CRC family history, sex, endoscopy history | — |
| PPM017182 | PGS003443 (PRScsx_T2D_LAT_EURweights) |
PSS010157| Hispanic or Latin American Ancestry| 1,484 individuals |
PGP000445 | Huerta-Chagoya A et al. Diabetologia (2023) |
Reported Trait: type 2 diabetes | OR: 1.9 [1.65, 2.19] | AUROC: 0.7475 | R²: 0.207 | sex, age, PCs(1-10), PRScsx_T2D_LAT_EASweights, PRScsx_T2D_LAT_LATweights | NOTE: Performance is based on a linear combination of this PGS with PRScsx_T2D_LAT_EASweights and PRScsx_T2D_LAT_LATweights (metascore=(zscoreEUR* 0.531117)+(zscoreEAS*0.5690198)+(zscoreLAT*0.1465538)). See score development details for how to apply |
| PPM017183 | PGS003444 (PRScsx_T2D_LAT_EASweights) |
PSS010157| Hispanic or Latin American Ancestry| 1,484 individuals |
PGP000445 | Huerta-Chagoya A et al. Diabetologia (2023) |
Reported Trait: type 2 diabetes | OR: 1.9 [1.65, 2.19] | AUROC: 0.7475 | R²: 0.207 | sex, age, PCs(1-10), PRScsx_T2D_LAT_EURweights, PRScsx_T2D_LAT_LATweights | NOTE: Performance is based on a linear combination of this PGS with PRScsx_T2D_LAT_EASweights and PRScsx_T2D_LAT_LATweights (metascore=(zscoreEUR* 0.531117)+(zscoreEAS*0.5690198)+(zscoreLAT*0.1465538)). See score development details for how to apply |
| PPM017184 | PGS003445 (PRScsx_T2D_LAT_LATweights) |
PSS010157| Hispanic or Latin American Ancestry| 1,484 individuals |
PGP000445 | Huerta-Chagoya A et al. Diabetologia (2023) |
Reported Trait: type 2 diabetes | OR: 1.9 [1.65, 2.19] | AUROC: 0.7475 | R²: 0.207 | sex, age, PCs(1-10), PRScsx_T2D_LAT_EURweights, PRScsx_T2D_LAT_EASweights | NOTE: Performance is based on a linear combination of this PGS with PRScsx_T2D_LAT_EASweights and PRScsx_T2D_LAT_LATweights (metascore=(zscoreEUR* 0.531117)+(zscoreEAS*0.5690198)+(zscoreLAT*0.1465538)). See score development details for how to apply |
| PPM017227 | PGS003451 (PRS2_MZL) |
PSS010176| European Ancestry| 20,134 individuals |
PGP000448 | Berndt SI et al. Leukemia (2022) |
Reported Trait: Chronic lymphocytic leukemia | OR: 1.26 [1.09, 1.46] | — | — | — | — |
| PPM017235 | PGS003451 (PRS2_MZL) |
PSS010176| European Ancestry| 20,134 individuals |
PGP000448 | Berndt SI et al. Leukemia (2022) |
Reported Trait: Diffuse large B-cell lymphoma | OR: 1.53 [1.34, 1.75] | — | — | — | — |
| PPM017243 | PGS003451 (PRS2_MZL) |
PSS010176| European Ancestry| 20,134 individuals |
PGP000448 | Berndt SI et al. Leukemia (2022) |
Reported Trait: Follicular lymphoma | OR: 1.39 [1.21, 1.61] | — | — | — | — |
| PPM017251 | PGS003451 (PRS2_MZL) |
PSS010176| European Ancestry| 20,134 individuals |
PGP000448 | Berndt SI et al. Leukemia (2022) |
Reported Trait: Marginal zone lymphoma | OR: 2.43 [1.93, 3.06] | — | — | — | — |
| PPM018476 | PGS003728 (PS_T2D_183-AGEN) |
PSS010984| Additional Diverse Ancestries| 2,229 individuals |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Reported Trait: Incident type 2 diabetes (youth cohort at 10 year follow-up) | HR: 1.28 [1.12, 1.46] | — | Net reclassification improvement: 0.331 [0.141, 0.521] ∆AUC: 0.005 [-0.003, 0.012] |
age, sex, parental diabetes, modified BMI z score, fasting plasma glucose | — |
| PPM018484 | PGS003728 (PS_T2D_183-AGEN) |
PSS010983| Additional Diverse Ancestries| 2,894 individuals |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Reported Trait: Incident type 2 diabetes (birth cohort at 30 year follow-up) | HR: 1.27 [1.15, 1.39] | — | Net reclassification improvement: 0.164 [0.025, 0.303] ∆AUC: 0.037 [0.013, 0.06] |
sex, parental diabetes, and birth weight | — |
| PPM018468 | PGS003728 (PS_T2D_183-AGEN) |
PSS010982| Additional Diverse Ancestries| 2,333 individuals |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Reported Trait: Incident type 2 diabetes (adult cohort at 10 year follow-up) | HR: 1.14 [1.06, 1.24] | — | Net reclassification improvement: 0.115 [-0.014, 0.244] ∆AUC: 0.001 [-0.003, 0.005] |
age, sex, parental diabetes, BMI, fasting plasma glucose and HbA1c. | — |
| PPM018469 | PGS003729 (PS_T2D_293-DIAGRAM) |
PSS010982| Additional Diverse Ancestries| 2,333 individuals |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Reported Trait: Incident type 2 diabetes (adult cohort at 10 year follow-up) | HR: 1.27 [1.17, 1.38] | AUROC: 0.735 | Net reclassification improvement: 0.27 [0.149, 0.392] ∆AUC: 0.007 [0.001, 0.014] |
age, sex, parental diabetes, BMI, fasting plasma glucose and HbA1c. | — |
| PPM018477 | PGS003729 (PS_T2D_293-DIAGRAM) |
PSS010984| Additional Diverse Ancestries| 2,229 individuals |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Reported Trait: Incident type 2 diabetes (youth cohort at 10 year follow-up) | HR: 1.49 [1.29, 1.72] | AUROC: 0.812 | Net reclassification improvement: 0.268 [0.072, 0.464] ∆AUC: 0.007 [-0.003, 0.017] |
age, sex, parental diabetes, modified BMI z score, fasting plasma glucose | — |
| PPM018485 | PGS003729 (PS_T2D_293-DIAGRAM) |
PSS010983| Additional Diverse Ancestries| 2,894 individuals |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Reported Trait: Incident type 2 diabetes (birth cohort at 30 year follow-up) | HR: 1.48 [1.35, 1.63] | AUROC: 0.685 | Net reclassification improvement: 0.362 [0.222, 0.502] ∆AUC: 0.072 [0.045, 0.099] |
sex, parental diabetes, and birth weight | — |
| PPM018471 | PGS003730 (PS_T2D_287-DIAMANTE) |
PSS010982| Additional Diverse Ancestries| 2,333 individuals |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Reported Trait: Incident type 2 diabetes (adult cohort at 10 year follow-up) | HR: 1.2 [1.1, 1.3] | — | Net reclassification improvement: 0.216 [0.094, 0.338] ∆AUC: 0.004 [-0.001, 0.009] |
age, sex, parental diabetes, BMI, fasting plasma glucose and HbA1c. | — |
| PPM018479 | PGS003730 (PS_T2D_287-DIAMANTE) |
PSS010984| Additional Diverse Ancestries| 2,229 individuals |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Reported Trait: Incident type 2 diabetes (youth cohort at 10 year follow-up) | HR: 1.34 [1.17, 1.54] | — | Net reclassification improvement: 0.314 [0.116, 0.512] ∆AUC: 0.004 [-0.001, 0.009] |
age, sex, parental diabetes, modified BMI z score, fasting plasma glucose | — |
| PPM018487 | PGS003730 (PS_T2D_287-DIAMANTE) |
PSS010983| Additional Diverse Ancestries| 2,894 individuals |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Reported Trait: Incident type 2 diabetes (birth cohort at 30 year follow-up) | HR: 1.45 [1.32, 1.6] | — | Net reclassification improvement: 0.259 [0.115, 0.403] ∆AUC: 0.073 |
sex, parental diabetes, and birth weight | — |
| PPM018475 | PGS003731 (PS_T2D_282-SAS-DIAMANTE) |
PSS010982| Additional Diverse Ancestries| 2,333 individuals |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Reported Trait: Incident type 2 diabetes (adult cohort at 10 year follow-up) | HR: 1.19 [1.09, 1.29] | — | Net reclassification improvement: 0.181 [0.054, 0.308] ∆AUC: 0.004 [-0.001, 0.009] |
age, sex, parental diabetes, BMI, fasting plasma glucose and HbA1c. | — |
| PPM018483 | PGS003731 (PS_T2D_282-SAS-DIAMANTE) |
PSS010984| Additional Diverse Ancestries| 2,229 individuals |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Reported Trait: Incident type 2 diabetes (youth cohort at 10 year follow-up) | HR: 1.35 [1.18, 1.56] | — | Net reclassification improvement: 0.302 [0.089, 0.515] ∆AUC: 0.002 [-0.007, 0.012] |
age, sex, parental diabetes, modified BMI z score, fasting plasma glucose | — |
| PPM018491 | PGS003731 (PS_T2D_282-SAS-DIAMANTE) |
PSS010983| Additional Diverse Ancestries| 2,894 individuals |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Reported Trait: Incident type 2 diabetes (birth cohort at 30 year follow-up) | HR: 1.32 [1.2, 1.45] | — | Net reclassification improvement: 0.201 [0.057, 0.306] ∆AUC: 0.054 [0.031, 0.077] |
sex, parental diabetes, and birth weight | — |
| PPM018474 | PGS003732 (PS_T2D_287-HIS-DIAMANTE) |
PSS010982| Additional Diverse Ancestries| 2,333 individuals |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Reported Trait: Incident type 2 diabetes (adult cohort at 10 year follow-up) | HR: 1.18 [1.09, 1.29] | — | Net reclassification improvement: 0.219 [0.097, 0.34] ∆AUC: 0.004 [-0.001, 0.008] |
age, sex, parental diabetes, BMI, fasting plasma glucose and HbA1c. | — |
| PPM018482 | PGS003732 (PS_T2D_287-HIS-DIAMANTE) |
PSS010984| Additional Diverse Ancestries| 2,229 individuals |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Reported Trait: Incident type 2 diabetes (youth cohort at 10 year follow-up) | HR: 1.32 [1.15, 1.51] | — | Net reclassification improvement: 0.15 [-0.054, 0.354] ∆AUC: 0.006 [-0.001, 0.014] |
age, sex, parental diabetes, modified BMI z score, fasting plasma glucose | — |
| PPM018490 | PGS003732 (PS_T2D_287-HIS-DIAMANTE) |
PSS010983| Additional Diverse Ancestries| 2,894 individuals |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Reported Trait: Incident type 2 diabetes (birth cohort at 30 year follow-up) | HR: 1.4 [1.28, 1.55] | — | Net reclassification improvement: 0.277 [0.125, 0.428] ∆AUC: 0.072 [0.046, 0.099] |
sex, parental diabetes, and birth weight | — |
| PPM018473 | PGS003733 (PS_T2D_287-EUR-DIAMANTE) |
PSS010982| Additional Diverse Ancestries| 2,333 individuals |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Reported Trait: Incident type 2 diabetes (adult cohort at 10 year follow-up) | HR: 1.21 [1.12, 1.32] | — | Net reclassification improvement: 0.277 [0.156, 0.397] ∆AUC: 0.005 [0.0, 0.011] |
age, sex, parental diabetes, BMI, fasting plasma glucose and HbA1c. | — |
| PPM018481 | PGS003733 (PS_T2D_287-EUR-DIAMANTE) |
PSS010984| Additional Diverse Ancestries| 2,229 individuals |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Reported Trait: Incident type 2 diabetes (youth cohort at 10 year follow-up) | HR: 1.37 [1.19, 1.58] | — | Net reclassification improvement: 0.296 [0.09, 0.502] ∆AUC: 0.008 [-0.001, 0.017] |
age, sex, parental diabetes, modified BMI z score, fasting plasma glucose | — |
| PPM018489 | PGS003733 (PS_T2D_287-EUR-DIAMANTE) |
PSS010983| Additional Diverse Ancestries| 2,894 individuals |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Reported Trait: Incident type 2 diabetes (birth cohort at 30 year follow-up) | HR: 1.47 [1.33, 1.62] | — | Net reclassification improvement: 0.328 [0.183, 0.474] ∆AUC: 0.075 [0.048, 0.102] |
sex, parental diabetes, and birth weight | — |
| PPM018472 | PGS003734 (PS_T2D_280-EAS-DIAMANTE) |
PSS010982| Additional Diverse Ancestries| 2,333 individuals |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Reported Trait: Incident type 2 diabetes (adult cohort at 10 year follow-up) | HR: 1.13 [1.04, 1.23] | — | Net reclassification improvement: 0.115 [-0.014, 0.244] ∆AUC: 0.001 [-0.002, 0.005] |
age, sex, parental diabetes, BMI, fasting plasma glucose and HbA1c. | — |
| PPM018480 | PGS003734 (PS_T2D_280-EAS-DIAMANTE) |
PSS010984| Additional Diverse Ancestries| 2,229 individuals |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Reported Trait: Incident type 2 diabetes (youth cohort at 10 year follow-up) | HR: 1.19 [1.04, 1.36] | — | Net reclassification improvement: 0.182 [-0.019, 0.383] ∆AUC: 0.001 [-0.004, 0.007] |
age, sex, parental diabetes, modified BMI z score, fasting plasma glucose | — |
| PPM018488 | PGS003734 (PS_T2D_280-EAS-DIAMANTE) |
PSS010983| Additional Diverse Ancestries| 2,894 individuals |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Reported Trait: Incident type 2 diabetes (birth cohort at 30 year follow-up) | HR: 1.33 [1.22, 1.46] | — | Net reclassification improvement: 0.176 [0.029, 0.323] ∆AUC: 0.052 [0.026, 0.077] |
sex, parental diabetes, and birth weight | — |
| PPM018470 | PGS003735 (PS_T2D_276-AFR-DIAMANTE) |
PSS010982| Additional Diverse Ancestries| 2,333 individuals |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Reported Trait: Incident type 2 diabetes (adult cohort at 10 year follow-up) | HR: 1.13 [1.04, 1.22] | — | ∆AUC: 0.003 [0.0, 0.007] Net reclassification improvement: 0.181 [0.047, 0.316] |
age, sex, parental diabetes, BMI, fasting plasma glucose and HbA1c. | — |
| PPM018478 | PGS003735 (PS_T2D_276-AFR-DIAMANTE) |
PSS010984| Additional Diverse Ancestries| 2,229 individuals |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Reported Trait: Incident type 2 diabetes (youth cohort at 10 year follow-up) | HR: 1.21 [1.06, 1.38] | — | Net reclassification improvement: 0.185 [-0.017, 0.388] ∆AUC: 0.005 [-0.001, 0.01] |
age, sex, parental diabetes, modified BMI z score, fasting plasma glucose | — |
| PPM018486 | PGS003735 (PS_T2D_276-AFR-DIAMANTE) |
PSS010983| Additional Diverse Ancestries| 2,894 individuals |
PGP000469 | Wedekind LE et al. Diabetologia (2023) |
Reported Trait: Incident type 2 diabetes (birth cohort at 30 year follow-up) | HR: 1.28 [1.16, 1.41] | — | Net reclassification improvement: 0.231 [0.091, 0.376] ∆AUC: 0.042 [0.019, 0.065] |
sex, parental diabetes, and birth weight | — |
| PPM018495 | PGS003739 (PRS81_CoC) |
PSS010988| European Ancestry| 470 individuals |
PGP000470 | Xin J et al. EBioMedicine (2023) |
Reported Trait: Colorectal cancer | OR: 1.37 [1.24, 1.51] | — | — | — | — |
| PPM018498 | PGS003742 (PRS19_PC) |
PSS010993| European Ancestry| 153 individuals |
PGP000470 | Xin J et al. EBioMedicine (2023) |
Reported Trait: Pancreatic cancer | OR: 1.33 [1.13, 1.57] | — | — | — | — |
| PPM018508 | PGS003749 (ModelT1D_under25) |
PSS011001| European Ancestry| 119,273 individuals |
PGP000472 | Shoaib M et al. Genet Epidemiol (2023) |
Reported Trait: Type 1 diabetes with age of diagnosis under 25 | — | AUROC: 0.797 | Nagelkerke R2: 0.099 | — | — |
| PPM018512 | PGS003749 (ModelT1D_under25) |
PSS011000| European Ancestry| 7,067 individuals |
PGP000472 | Shoaib M et al. Genet Epidemiol (2023) |
Reported Trait: Discrimination of Type 1 diabetes from Type 2 diabetes | — | AUROC: 0.792 | — | — | — |
| PPM018514 | PGS003749 (ModelT1D_under25) |
PSS010998| European Ancestry| 2,494 individuals |
PGP000472 | Shoaib M et al. Genet Epidemiol (2023) |
Reported Trait: Discrimination of Type 1 diabetes from Type 2 diabetes | — | AUROC: 0.686 | — | — | — |
| PPM018509 | PGS003750 (ModelT1D) |
PSS010999| European Ancestry| 120,028 individuals |
PGP000472 | Shoaib M et al. Genet Epidemiol (2023) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.64 | Nagelkerke R2: 0.014 | — | — |
| PPM018510 | PGS003751 (ModelT2D_over45) |
PSS011003| European Ancestry| 122,144 individuals |
PGP000472 | Shoaib M et al. Genet Epidemiol (2023) |
Reported Trait: Type 2 diabetes with age of diagnosis over 45 | — | AUROC: 0.596 | Nagelkerke R2: 0.016 | — | — |
| PPM018513 | PGS003751 (ModelT2D_over45) |
PSS011000| European Ancestry| 7,067 individuals |
PGP000472 | Shoaib M et al. Genet Epidemiol (2023) |
Reported Trait: Discrimination of Type 1 diabetes from Type 2 diabetes | — | AUROC: 0.527 | — | — | — |
| PPM018511 | PGS003752 (ModelT2D) |
PSS011002| European Ancestry| 125,189 individuals |
PGP000472 | Shoaib M et al. Genet Epidemiol (2023) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.578 | Nagelkerke R2: 0.014 | — | — |
| PPM018549 | PGS003760 (PRS49_EOCRC) |
PSS011018| Multi-ancestry (including European)| 25,150 individuals |
PGP000480 | Wang H et al. Genome Med (2023) |
Reported Trait: Early onset colorectal cancer | — | — | Odds ratio (OR, Quartile 4 vs Quartile 1): 1.64 [1.32, 2.03] | Sex, ethnicity, drinking frequency, smoke status, and family history | — |
| PPM018677 | PGS003850 (CRC_PRS_200loci) |
PSS011062| Additional Asian Ancestries| 12,025 individuals |
PGP000492 | Thomas M T et al. medRxiv (2023) |Ext.|Pre |
Reported Trait: Colorectal cancer | OR: 1.3 | AUROC: 0.6 [0.59, 0.62] | — | Age, sex, PCs 1-4 | — |
| PPM018678 | PGS003850 (CRC_PRS_200loci) |
PSS011063| African Ancestry| 13,823 individuals |
PGP000492 | Thomas M T et al. medRxiv (2023) |Ext.|Pre |
Reported Trait: Colorectal cancer | OR: 1.25 | AUROC: 0.58 [0.56, 0.59] | — | Age, sex, PCs 1-4 | — |
| PPM018679 | PGS003850 (CRC_PRS_200loci) |
PSS011064| Hispanic or Latin American Ancestry| 10,377 individuals |
PGP000492 | Thomas M T et al. medRxiv (2023) |Ext.|Pre |
Reported Trait: Colorectal cancer | OR: 1.37 | AUROC: 0.59 [0.57, 0.6] | — | Age, sex, PCs 1-4 | — |
| PPM018680 | PGS003850 (CRC_PRS_200loci) |
PSS011065| European Ancestry| 118,756 individuals |
PGP000492 | Thomas M T et al. medRxiv (2023) |Ext.|Pre |
Reported Trait: Colorectal cancer | OR: 1.62 | AUROC: 0.61 [0.6, 0.62] | — | Age, sex, PCs 1-4 | — |
| PPM018681 | PGS003851 (CRC_PRS_EUR) |
PSS011062| Additional Asian Ancestries| 12,025 individuals |
PGP000492 | Thomas M T et al. medRxiv (2023) |Ext.|Pre |
Reported Trait: Colorectal cancer | — | AUROC: 0.619 [0.547, 0.689] | — | Age, sex, PCs 1-10 | — |
| PPM018682 | PGS003851 (CRC_PRS_EUR) |
PSS011063| African Ancestry| 13,823 individuals |
PGP000492 | Thomas M T et al. medRxiv (2023) |Ext.|Pre |
Reported Trait: Colorectal cancer | — | AUROC: 0.526 [0.419, 0.62] | — | Age, sex, PCs 1-10 | — |
| PPM018683 | PGS003851 (CRC_PRS_EUR) |
PSS011064| Hispanic or Latin American Ancestry| 10,377 individuals |
PGP000492 | Thomas M T et al. medRxiv (2023) |Ext.|Pre |
Reported Trait: Colorectal cancer | — | AUROC: 0.584 [0.511, 0.656] | — | Age, sex, PCs 1-10 | — |
| PPM018684 | PGS003851 (CRC_PRS_EUR) |
PSS011065| European Ancestry| 118,756 individuals |
PGP000492 | Thomas M T et al. medRxiv (2023) |Ext.|Pre |
Reported Trait: Colorectal cancer | — | AUROC: 0.638 [0.624, 0.652] | — | Age, sex, PCs 1-10 | — |
| PPM018669 | PGS003851 (CRC_PRS_EUR) |
PSS011059| European Ancestry| 72,791 individuals |
PGP000294 | Thomas M et al. Am J Hum Genet (2020) |
Reported Trait: Colorectal cancer | — | AUROC: 0.654 [0.639, 0.669] | — | age, sex | — |
| PPM018670 | PGS003851 (CRC_PRS_EUR) |
PSS011058| East Asian Ancestry| 6,966 individuals |
PGP000294 | Thomas M et al. Am J Hum Genet (2020) |
Reported Trait: Colorectal cancer | — | AUROC: 0.601 [0.538, 0.664] | — | age, sex | — |
| PPM018671 | PGS003851 (CRC_PRS_EUR) |
PSS011057| African Ancestry| 5,249 individuals |
PGP000294 | Thomas M et al. Am J Hum Genet (2020) |
Reported Trait: Colorectal cancer | — | AUROC: 0.543 [0.5, 0.6241] | — | age, sex | — |
| PPM018672 | PGS003851 (CRC_PRS_EUR) |
PSS011060| Hispanic or Latin American Ancestry| 6,660 individuals |
PGP000294 | Thomas M et al. Am J Hum Genet (2020) |
Reported Trait: Colorectal cancer | — | AUROC: 0.602 [0.542, 0.662] | — | age, sex | — |
| PPM018673 | PGS003852 (CRC_PRS_EUR_EAS) |
PSS011062| Additional Asian Ancestries| 12,025 individuals |
PGP000492 | Thomas M T et al. medRxiv (2023) |Pre |
Reported Trait: Colorectal cancer | OR: 1.64 [1.55, 1.74] | AUROC: 0.63 [0.62, 0.64] | — | Age, sex, PCs 1-4 | — |
| PPM018674 | PGS003852 (CRC_PRS_EUR_EAS) |
PSS011063| African Ancestry| 13,823 individuals |
PGP000492 | Thomas M T et al. medRxiv (2023) |Pre |
Reported Trait: Colorectal cancer | OR: 1.39 [1.31, 1.47] | AUROC: 0.59 [0.57, 0.61] | — | Age, sex, PCs 1-4 | — |
| PPM018675 | PGS003852 (CRC_PRS_EUR_EAS) |
PSS011064| Hispanic or Latin American Ancestry| 10,377 individuals |
PGP000492 | Thomas M T et al. medRxiv (2023) |Pre |
Reported Trait: Colorectal cancer | OR: 1.62 [1.51, 1.73] | AUROC: 0.62 [0.6, 0.63] | — | Age, sex, PCs 1-4 | — |
| PPM018676 | PGS003852 (CRC_PRS_EUR_EAS) |
PSS011065| European Ancestry| 118,756 individuals |
PGP000492 | Thomas M T et al. medRxiv (2023) |Pre |
Reported Trait: Colorectal cancer | OR: 1.67 [1.6, 1.75] | AUROC: 0.65 [0.64, 0.66] | — | Age, sex, PCs 1-4 | — |
| PPM018759 | PGS003867 (T2D_PRScs_ARB) |
PSS011097| Greater Middle Eastern Ancestry| 2,669 individuals |
PGP000501 | Shim I et al. Nature Communications (2023) |
Reported Trait: Type 2 diabetes | OR: 1.83 [1.74, 1.92] | AUROC: 0.7384 [0.7194, 0.7574] | — | age, sex, array version, and the first 10 principal components of ancestry | — |
| PPM019147 | PGS003979 (CRC_PRSCS) |
PSS011211| European Ancestry| 453,733 individuals |
PGP000515 | Tamlander M et al. Br J Cancer (2023) |
Reported Trait: Colorectal cancer | OR: 1.63 [1.6, 1.67] | AUROC: 0.795 [0.791, 0.799] | — | year of birth, sex, ten first principal components of ancestry, genotyping batch, genotyping array | — |
| PPM019233 | PGS003981 (dbslmm.auto.GCST004131.IBD) |
PSS011220| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.33244 β: 0.28701 |
AUROC: 0.58 | — | 0 | beta = log(or)/sd_pgs |
| PPM019234 | PGS003981 (dbslmm.auto.GCST004131.IBD) |
PSS011231| European Ancestry| 396,819 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.89729 β: 0.64043 |
AUROC: 0.67 | — | 0 | beta = log(or)/sd_pgs |
| PPM019235 | PGS003981 (dbslmm.auto.GCST004131.IBD) |
PSS011244| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.82983 β: 0.60422 |
AUROC: 0.68 | — | 0 | beta = log(or)/sd_pgs |
| PPM019236 | PGS003981 (dbslmm.auto.GCST004131.IBD) |
PSS011260| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.51174 β: 0.41326 |
AUROC: 0.61 | — | 0 | beta = log(or)/sd_pgs |
| PPM019237 | PGS003981 (dbslmm.auto.GCST004131.IBD) |
PSS011288| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.62008 β: 0.48247 |
AUROC: 0.63 | — | 0 | beta = log(or)/sd_pgs |
| PPM019238 | PGS003981 (dbslmm.auto.GCST004131.IBD) |
PSS011273| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.8704 β: 0.62615 |
AUROC: 0.67 | — | 0 | beta = log(or)/sd_pgs |
| PPM019312 | PGS003982 (dbslmm.auto.GCST004773.T2D) |
PSS011236| European Ancestry| 377,408 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.50796 β: 0.41076 |
AUROC: 0.61 | — | 0 | beta = log(or)/sd_pgs |
| PPM019313 | PGS003982 (dbslmm.auto.GCST004773.T2D) |
PSS011249| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.26658 β: 0.23632 |
AUROC: 0.57 | — | 0 | beta = log(or)/sd_pgs |
| PPM019314 | PGS003982 (dbslmm.auto.GCST004773.T2D) |
PSS011265| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.53274 β: 0.42705 |
AUROC: 0.62 | — | 0 | beta = log(or)/sd_pgs |
| PPM019315 | PGS003982 (dbslmm.auto.GCST004773.T2D) |
PSS011291| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.40966 β: 0.34335 |
AUROC: 0.6 | — | 0 | beta = log(or)/sd_pgs |
| PPM019316 | PGS003982 (dbslmm.auto.GCST004773.T2D) |
PSS011278| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.6067 β: 0.47419 |
AUROC: 0.63 | — | 0 | beta = log(or)/sd_pgs |
| PPM019311 | PGS003982 (dbslmm.auto.GCST004773.T2D) |
PSS011225| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.48531 β: 0.39562 |
AUROC: 0.61 | — | 0 | beta = log(or)/sd_pgs |
| PPM019950 | PGS003993 (dbslmm.auto.GCST90013445.T1D) |
PSS011224| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: T1D | OR: 1.95715 β: 0.67149 |
AUROC: 0.7 | — | 0 | beta = log(or)/sd_pgs |
| PPM019951 | PGS003993 (dbslmm.auto.GCST90013445.T1D) |
PSS011235| European Ancestry| 322,349 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: T1D | OR: 2.37817 β: 0.86633 |
AUROC: 0.73 | — | 0 | beta = log(or)/sd_pgs |
| PPM019952 | PGS003993 (dbslmm.auto.GCST90013445.T1D) |
PSS011248| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: T1D | OR: 1.02806 β: 0.02768 |
AUROC: 0.49 | — | 0 | beta = log(or)/sd_pgs |
| PPM019953 | PGS003993 (dbslmm.auto.GCST90013445.T1D) |
PSS011264| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: T1D | OR: 1.35954 β: 0.30715 |
AUROC: 0.58 | — | 0 | beta = log(or)/sd_pgs |
| PPM019954 | PGS003993 (dbslmm.auto.GCST90013445.T1D) |
PSS011277| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: T1D | OR: 2.40714 β: 0.87844 |
AUROC: 0.74 | — | 0 | beta = log(or)/sd_pgs |
| PPM019287 | PGS003997 (lassosum.auto.GCST004131.IBD) |
PSS011220| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.35075 β: 0.30066 |
AUROC: 0.58 | — | 0 | beta = log(or)/sd_pgs |
| PPM019288 | PGS003997 (lassosum.auto.GCST004131.IBD) |
PSS011231| European Ancestry| 396,819 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.94603 β: 0.66579 |
AUROC: 0.68 | — | 0 | beta = log(or)/sd_pgs |
| PPM019289 | PGS003997 (lassosum.auto.GCST004131.IBD) |
PSS011244| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.83801 β: 0.60869 |
AUROC: 0.67 | — | 0 | beta = log(or)/sd_pgs |
| PPM019290 | PGS003997 (lassosum.auto.GCST004131.IBD) |
PSS011260| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.53922 β: 0.43128 |
AUROC: 0.62 | — | 0 | beta = log(or)/sd_pgs |
| PPM019291 | PGS003997 (lassosum.auto.GCST004131.IBD) |
PSS011288| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.73594 β: 0.55155 |
AUROC: 0.65 | — | 0 | beta = log(or)/sd_pgs |
| PPM019292 | PGS003997 (lassosum.auto.GCST004131.IBD) |
PSS011273| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.84612 β: 0.61309 |
AUROC: 0.67 | — | 0 | beta = log(or)/sd_pgs |
| PPM019353 | PGS003998 (lassosum.auto.GCST004773.T2D) |
PSS011225| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.42404 β: 0.3535 |
AUROC: 0.6 | — | 0 | beta = log(or)/sd_pgs |
| PPM019354 | PGS003998 (lassosum.auto.GCST004773.T2D) |
PSS011236| European Ancestry| 377,408 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.43926 β: 0.36413 |
AUROC: 0.6 | — | 0 | beta = log(or)/sd_pgs |
| PPM019355 | PGS003998 (lassosum.auto.GCST004773.T2D) |
PSS011249| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.2647 β: 0.23483 |
AUROC: 0.57 | — | 0 | beta = log(or)/sd_pgs |
| PPM019356 | PGS003998 (lassosum.auto.GCST004773.T2D) |
PSS011265| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.47667 β: 0.38979 |
AUROC: 0.61 | — | 0 | beta = log(or)/sd_pgs |
| PPM019357 | PGS003998 (lassosum.auto.GCST004773.T2D) |
PSS011291| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.36032 β: 0.30772 |
AUROC: 0.58 | — | 0 | beta = log(or)/sd_pgs |
| PPM019358 | PGS003998 (lassosum.auto.GCST004773.T2D) |
PSS011278| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.53698 β: 0.42982 |
AUROC: 0.62 | — | 0 | beta = log(or)/sd_pgs |
| PPM019995 | PGS004009 (lassosum.auto.GCST90013445.T1D) |
PSS011224| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: T1D | OR: 1.95016 β: 0.66791 |
AUROC: 0.7 | — | 0 | beta = log(or)/sd_pgs |
| PPM019996 | PGS004009 (lassosum.auto.GCST90013445.T1D) |
PSS011235| European Ancestry| 322,349 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: T1D | OR: 2.41964 β: 0.88362 |
AUROC: 0.73 | — | 0 | beta = log(or)/sd_pgs |
| PPM019997 | PGS004009 (lassosum.auto.GCST90013445.T1D) |
PSS011248| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: T1D | OR: 1.02716 β: 0.0268 |
AUROC: 0.51 | — | 0 | beta = log(or)/sd_pgs |
| PPM019998 | PGS004009 (lassosum.auto.GCST90013445.T1D) |
PSS011264| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: T1D | OR: 1.41112 β: 0.34438 |
AUROC: 0.59 | — | 0 | beta = log(or)/sd_pgs |
| PPM019999 | PGS004009 (lassosum.auto.GCST90013445.T1D) |
PSS011277| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: T1D | OR: 2.32891 β: 0.8454 |
AUROC: 0.74 | — | 0 | beta = log(or)/sd_pgs |
| PPM019281 | PGS004013 (lassosum.CV.GCST004131.IBD) |
PSS011220| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.37266 β: 0.31675 |
AUROC: 0.58 | — | 0 | beta = log(or)/sd_pgs |
| PPM019282 | PGS004013 (lassosum.CV.GCST004131.IBD) |
PSS011231| European Ancestry| 396,819 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.95504 β: 0.67041 |
AUROC: 0.68 | — | 0 | beta = log(or)/sd_pgs |
| PPM019283 | PGS004013 (lassosum.CV.GCST004131.IBD) |
PSS011244| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.88804 β: 0.63554 |
AUROC: 0.68 | — | 0 | beta = log(or)/sd_pgs |
| PPM019284 | PGS004013 (lassosum.CV.GCST004131.IBD) |
PSS011260| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.53614 β: 0.42927 |
AUROC: 0.62 | — | 0 | beta = log(or)/sd_pgs |
| PPM019285 | PGS004013 (lassosum.CV.GCST004131.IBD) |
PSS011288| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.72939 β: 0.54777 |
AUROC: 0.65 | — | 0 | beta = log(or)/sd_pgs |
| PPM019286 | PGS004013 (lassosum.CV.GCST004131.IBD) |
PSS011273| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.8643 β: 0.62289 |
AUROC: 0.67 | — | 0 | beta = log(or)/sd_pgs |
| PPM019359 | PGS004014 (lassosum.CV.GCST004773.T2D) |
PSS011225| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.48322 β: 0.39422 |
AUROC: 0.61 | — | 0 | beta = log(or)/sd_pgs |
| PPM019360 | PGS004014 (lassosum.CV.GCST004773.T2D) |
PSS011236| European Ancestry| 377,408 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.47356 β: 0.38768 |
AUROC: 0.61 | — | 0 | beta = log(or)/sd_pgs |
| PPM019361 | PGS004014 (lassosum.CV.GCST004773.T2D) |
PSS011249| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.25868 β: 0.23007 |
AUROC: 0.56 | — | 0 | beta = log(or)/sd_pgs |
| PPM019362 | PGS004014 (lassosum.CV.GCST004773.T2D) |
PSS011265| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.49153 β: 0.3998 |
AUROC: 0.61 | — | 0 | beta = log(or)/sd_pgs |
| PPM019364 | PGS004014 (lassosum.CV.GCST004773.T2D) |
PSS011278| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.57088 β: 0.45164 |
AUROC: 0.62 | — | 0 | beta = log(or)/sd_pgs |
| PPM019363 | PGS004014 (lassosum.CV.GCST004773.T2D) |
PSS011291| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.34108 β: 0.29348 |
AUROC: 0.58 | — | 0 | beta = log(or)/sd_pgs |
| PPM019990 | PGS004020 (lassosum.CV.GCST90013445.T1D) |
PSS011224| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: T1D | OR: 1.96291 β: 0.67443 |
AUROC: 0.7 | — | 0 | beta = log(or)/sd_pgs |
| PPM019991 | PGS004020 (lassosum.CV.GCST90013445.T1D) |
PSS011235| European Ancestry| 322,349 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: T1D | OR: 2.44728 β: 0.89498 |
AUROC: 0.74 | — | 0 | beta = log(or)/sd_pgs |
| PPM019992 | PGS004020 (lassosum.CV.GCST90013445.T1D) |
PSS011248| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: T1D | OR: 1.02458 β: 0.02428 |
AUROC: 0.51 | — | 0 | beta = log(or)/sd_pgs |
| PPM019993 | PGS004020 (lassosum.CV.GCST90013445.T1D) |
PSS011264| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: T1D | OR: 1.42499 β: 0.35417 |
AUROC: 0.59 | — | 0 | beta = log(or)/sd_pgs |
| PPM019994 | PGS004020 (lassosum.CV.GCST90013445.T1D) |
PSS011277| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: T1D | OR: 2.34601 β: 0.85271 |
AUROC: 0.74 | — | 0 | beta = log(or)/sd_pgs |
| PPM019252 | PGS004023 (ldpred2.auto.GCST004131.IBD) |
PSS011231| European Ancestry| 396,819 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.98269 β: 0.68445 |
AUROC: 0.68 | — | 0 | beta = log(or)/sd_pgs |
| PPM019253 | PGS004023 (ldpred2.auto.GCST004131.IBD) |
PSS011244| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.96487 β: 0.67543 |
AUROC: 0.69 | — | 0 | beta = log(or)/sd_pgs |
| PPM019254 | PGS004023 (ldpred2.auto.GCST004131.IBD) |
PSS011260| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.53961 β: 0.43153 |
AUROC: 0.62 | — | 0 | beta = log(or)/sd_pgs |
| PPM019255 | PGS004023 (ldpred2.auto.GCST004131.IBD) |
PSS011288| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.7204 β: 0.54256 |
AUROC: 0.64 | — | 0 | beta = log(or)/sd_pgs |
| PPM019256 | PGS004023 (ldpred2.auto.GCST004131.IBD) |
PSS011273| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.95616 β: 0.67098 |
AUROC: 0.68 | — | 0 | beta = log(or)/sd_pgs |
| PPM019251 | PGS004023 (ldpred2.auto.GCST004131.IBD) |
PSS011220| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.37223 β: 0.31644 |
AUROC: 0.58 | — | 0 | beta = log(or)/sd_pgs |
| PPM019329 | PGS004024 (ldpred2.auto.GCST004773.T2D) |
PSS011225| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.48498 β: 0.3954 |
AUROC: 0.61 | — | 0 | beta = log(or)/sd_pgs |
| PPM019330 | PGS004024 (ldpred2.auto.GCST004773.T2D) |
PSS011236| European Ancestry| 377,408 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.50219 β: 0.40693 |
AUROC: 0.61 | — | 0 | beta = log(or)/sd_pgs |
| PPM019331 | PGS004024 (ldpred2.auto.GCST004773.T2D) |
PSS011249| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.2876 β: 0.25278 |
AUROC: 0.57 | — | 0 | beta = log(or)/sd_pgs |
| PPM019332 | PGS004024 (ldpred2.auto.GCST004773.T2D) |
PSS011265| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.53513 β: 0.42861 |
AUROC: 0.62 | — | 0 | beta = log(or)/sd_pgs |
| PPM019333 | PGS004024 (ldpred2.auto.GCST004773.T2D) |
PSS011291| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.39993 β: 0.33642 |
AUROC: 0.59 | — | 0 | beta = log(or)/sd_pgs |
| PPM019334 | PGS004024 (ldpred2.auto.GCST004773.T2D) |
PSS011278| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.608 β: 0.47499 |
AUROC: 0.63 | — | 0 | beta = log(or)/sd_pgs |
| PPM019965 | PGS004035 (ldpred2.auto.GCST90013445.T1D) |
PSS011224| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: T1D | OR: 2.32281 β: 0.84278 |
AUROC: 0.71 | — | 0 | beta = log(or)/sd_pgs |
| PPM019966 | PGS004035 (ldpred2.auto.GCST90013445.T1D) |
PSS011235| European Ancestry| 322,349 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: T1D | OR: 2.04799 β: 0.71686 |
AUROC: 0.69 | — | 0 | beta = log(or)/sd_pgs |
| PPM019967 | PGS004035 (ldpred2.auto.GCST90013445.T1D) |
PSS011248| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: T1D | OR: 1.00124 β: 0.00124 |
AUROC: 0.51 | — | 0 | beta = log(or)/sd_pgs |
| PPM019968 | PGS004035 (ldpred2.auto.GCST90013445.T1D) |
PSS011264| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: T1D | OR: 1.41811 β: 0.34932 |
AUROC: 0.58 | — | 0 | beta = log(or)/sd_pgs |
| PPM019969 | PGS004035 (ldpred2.auto.GCST90013445.T1D) |
PSS011277| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: T1D | OR: 2.67223 β: 0.98291 |
AUROC: 0.75 | — | 0 | beta = log(or)/sd_pgs |
| PPM019215 | PGS004038 (ldpred2.CV.GCST004131.IBD) |
PSS011220| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.3661 β: 0.31196 |
AUROC: 0.58 | — | 0 | beta = log(or)/sd_pgs |
| PPM019216 | PGS004038 (ldpred2.CV.GCST004131.IBD) |
PSS011231| European Ancestry| 396,819 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 2.00709 β: 0.69669 |
AUROC: 0.69 | — | 0 | beta = log(or)/sd_pgs |
| PPM019217 | PGS004038 (ldpred2.CV.GCST004131.IBD) |
PSS011244| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.946 β: 0.66578 |
AUROC: 0.69 | — | 0 | beta = log(or)/sd_pgs |
| PPM019218 | PGS004038 (ldpred2.CV.GCST004131.IBD) |
PSS011260| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.55477 β: 0.44133 |
AUROC: 0.62 | — | 0 | beta = log(or)/sd_pgs |
| PPM019219 | PGS004038 (ldpred2.CV.GCST004131.IBD) |
PSS011288| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.71999 β: 0.54232 |
AUROC: 0.64 | — | 0 | beta = log(or)/sd_pgs |
| PPM019220 | PGS004038 (ldpred2.CV.GCST004131.IBD) |
PSS011273| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.96885 β: 0.67745 |
AUROC: 0.68 | — | 0 | beta = log(or)/sd_pgs |
| PPM019293 | PGS004039 (ldpred2.CV.GCST004773.T2D) |
PSS011225| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.51531 β: 0.41562 |
AUROC: 0.62 | — | 0 | beta = log(or)/sd_pgs |
| PPM019294 | PGS004039 (ldpred2.CV.GCST004773.T2D) |
PSS011236| European Ancestry| 377,408 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.52599 β: 0.42265 |
AUROC: 0.62 | — | 0 | beta = log(or)/sd_pgs |
| PPM019295 | PGS004039 (ldpred2.CV.GCST004773.T2D) |
PSS011249| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.29096 β: 0.25538 |
AUROC: 0.57 | — | 0 | beta = log(or)/sd_pgs |
| PPM019296 | PGS004039 (ldpred2.CV.GCST004773.T2D) |
PSS011265| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.55991 β: 0.44463 |
AUROC: 0.62 | — | 0 | beta = log(or)/sd_pgs |
| PPM019297 | PGS004039 (ldpred2.CV.GCST004773.T2D) |
PSS011291| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.41025 β: 0.34376 |
AUROC: 0.6 | — | 0 | beta = log(or)/sd_pgs |
| PPM019298 | PGS004039 (ldpred2.CV.GCST004773.T2D) |
PSS011278| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.6442 β: 0.49725 |
AUROC: 0.64 | — | 0 | beta = log(or)/sd_pgs |
| PPM019257 | PGS004051 (megaprs.auto.GCST004131.IBD) |
PSS011220| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.36888 β: 0.314 |
AUROC: 0.58 | — | 0 | beta = log(or)/sd_pgs |
| PPM019258 | PGS004051 (megaprs.auto.GCST004131.IBD) |
PSS011231| European Ancestry| 396,819 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 2.00653 β: 0.69641 |
AUROC: 0.69 | — | 0 | beta = log(or)/sd_pgs |
| PPM019259 | PGS004051 (megaprs.auto.GCST004131.IBD) |
PSS011244| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.90388 β: 0.64389 |
AUROC: 0.68 | — | 0 | beta = log(or)/sd_pgs |
| PPM019260 | PGS004051 (megaprs.auto.GCST004131.IBD) |
PSS011260| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.53763 β: 0.43024 |
AUROC: 0.62 | — | 0 | beta = log(or)/sd_pgs |
| PPM019261 | PGS004051 (megaprs.auto.GCST004131.IBD) |
PSS011288| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.63845 β: 0.49375 |
AUROC: 0.63 | — | 0 | beta = log(or)/sd_pgs |
| PPM019262 | PGS004051 (megaprs.auto.GCST004131.IBD) |
PSS011273| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.9624 β: 0.67417 |
AUROC: 0.68 | — | 0 | beta = log(or)/sd_pgs |
| PPM019335 | PGS004052 (megaprs.auto.GCST004773.T2D) |
PSS011225| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.51227 β: 0.41361 |
AUROC: 0.62 | — | 0 | beta = log(or)/sd_pgs |
| PPM019337 | PGS004052 (megaprs.auto.GCST004773.T2D) |
PSS011249| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.2863 β: 0.25177 |
AUROC: 0.57 | — | 0 | beta = log(or)/sd_pgs |
| PPM019338 | PGS004052 (megaprs.auto.GCST004773.T2D) |
PSS011265| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.5456 β: 0.43541 |
AUROC: 0.62 | — | 0 | beta = log(or)/sd_pgs |
| PPM019339 | PGS004052 (megaprs.auto.GCST004773.T2D) |
PSS011291| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.4232 β: 0.35291 |
AUROC: 0.6 | — | 0 | beta = log(or)/sd_pgs |
| PPM019340 | PGS004052 (megaprs.auto.GCST004773.T2D) |
PSS011278| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.64766 β: 0.49936 |
AUROC: 0.64 | — | 0 | beta = log(or)/sd_pgs |
| PPM019336 | PGS004052 (megaprs.auto.GCST004773.T2D) |
PSS011236| European Ancestry| 377,408 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.53613 β: 0.42927 |
AUROC: 0.62 | — | 0 | beta = log(or)/sd_pgs |
| PPM019970 | PGS004063 (megaprs.auto.GCST90013445.T1D) |
PSS011224| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: T1D | OR: 1.96796 β: 0.677 |
AUROC: 0.69 | — | 0 | beta = log(or)/sd_pgs |
| PPM019971 | PGS004063 (megaprs.auto.GCST90013445.T1D) |
PSS011235| European Ancestry| 322,349 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: T1D | OR: 1.98877 β: 0.68752 |
AUROC: 0.71 | — | 0 | beta = log(or)/sd_pgs |
| PPM019972 | PGS004063 (megaprs.auto.GCST90013445.T1D) |
PSS011248| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: T1D | OR: 0.99583 β: -0.00418 |
AUROC: 0.51 | — | 0 | beta = log(or)/sd_pgs |
| PPM019973 | PGS004063 (megaprs.auto.GCST90013445.T1D) |
PSS011264| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: T1D | OR: 1.34209 β: 0.29422 |
AUROC: 0.58 | — | 0 | beta = log(or)/sd_pgs |
| PPM019974 | PGS004063 (megaprs.auto.GCST90013445.T1D) |
PSS011277| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: T1D | OR: 2.32027 β: 0.84168 |
AUROC: 0.74 | — | 0 | beta = log(or)/sd_pgs |
| PPM019263 | PGS004067 (megaprs.CV.GCST004131.IBD) |
PSS011220| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.38476 β: 0.32553 |
AUROC: 0.59 | — | 0 | beta = log(or)/sd_pgs |
| PPM019264 | PGS004067 (megaprs.CV.GCST004131.IBD) |
PSS011231| European Ancestry| 396,819 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 2.01137 β: 0.69881 |
AUROC: 0.69 | — | 0 | beta = log(or)/sd_pgs |
| PPM019265 | PGS004067 (megaprs.CV.GCST004131.IBD) |
PSS011244| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.90373 β: 0.64382 |
AUROC: 0.68 | — | 0 | beta = log(or)/sd_pgs |
| PPM019266 | PGS004067 (megaprs.CV.GCST004131.IBD) |
PSS011260| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.53272 β: 0.42704 |
AUROC: 0.62 | — | 0 | beta = log(or)/sd_pgs |
| PPM019267 | PGS004067 (megaprs.CV.GCST004131.IBD) |
PSS011288| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.64423 β: 0.49727 |
AUROC: 0.63 | — | 0 | beta = log(or)/sd_pgs |
| PPM019268 | PGS004067 (megaprs.CV.GCST004131.IBD) |
PSS011273| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.9918 β: 0.68904 |
AUROC: 0.69 | — | 0 | beta = log(or)/sd_pgs |
| PPM019341 | PGS004068 (megaprs.CV.GCST004773.T2D) |
PSS011225| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.51406 β: 0.41479 |
AUROC: 0.62 | — | 0 | beta = log(or)/sd_pgs |
| PPM019342 | PGS004068 (megaprs.CV.GCST004773.T2D) |
PSS011236| European Ancestry| 377,408 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.54026 β: 0.43195 |
AUROC: 0.62 | — | 0 | beta = log(or)/sd_pgs |
| PPM019343 | PGS004068 (megaprs.CV.GCST004773.T2D) |
PSS011249| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.28668 β: 0.25206 |
AUROC: 0.57 | — | 0 | beta = log(or)/sd_pgs |
| PPM019344 | PGS004068 (megaprs.CV.GCST004773.T2D) |
PSS011265| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.55065 β: 0.43868 |
AUROC: 0.62 | — | 0 | beta = log(or)/sd_pgs |
| PPM019345 | PGS004068 (megaprs.CV.GCST004773.T2D) |
PSS011291| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.42683 β: 0.35546 |
AUROC: 0.6 | — | 0 | beta = log(or)/sd_pgs |
| PPM019346 | PGS004068 (megaprs.CV.GCST004773.T2D) |
PSS011278| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.65089 β: 0.50131 |
AUROC: 0.64 | — | 0 | beta = log(or)/sd_pgs |
| PPM019975 | PGS004078 (megaprs.CV.GCST90013445.T1D) |
PSS011224| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: T1D | OR: 2.10311 β: 0.74342 |
AUROC: 0.69 | — | 0 | beta = log(or)/sd_pgs |
| PPM019976 | PGS004078 (megaprs.CV.GCST90013445.T1D) |
PSS011235| European Ancestry| 322,349 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: T1D | OR: 2.14067 β: 0.76112 |
AUROC: 0.71 | — | 0 | beta = log(or)/sd_pgs |
| PPM019977 | PGS004078 (megaprs.CV.GCST90013445.T1D) |
PSS011248| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: T1D | OR: 1.00042 β: 0.00042 |
AUROC: 0.5 | — | 0 | beta = log(or)/sd_pgs |
| PPM019979 | PGS004078 (megaprs.CV.GCST90013445.T1D) |
PSS011277| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: T1D | OR: 2.67623 β: 0.98441 |
AUROC: 0.76 | — | 0 | beta = log(or)/sd_pgs |
| PPM019978 | PGS004078 (megaprs.CV.GCST90013445.T1D) |
PSS011264| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: T1D | OR: 1.39887 β: 0.33567 |
AUROC: 0.59 | — | 0 | beta = log(or)/sd_pgs |
| PPM019275 | PGS004081 (prscs.auto.GCST004131.IBD) |
PSS011220| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.33947 β: 0.29227 |
AUROC: 0.58 | — | 0 | beta = log(or)/sd_pgs |
| PPM019276 | PGS004081 (prscs.auto.GCST004131.IBD) |
PSS011231| European Ancestry| 396,819 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.93798 β: 0.66165 |
AUROC: 0.68 | — | 0 | beta = log(or)/sd_pgs |
| PPM019277 | PGS004081 (prscs.auto.GCST004131.IBD) |
PSS011244| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.81701 β: 0.59719 |
AUROC: 0.67 | — | 0 | beta = log(or)/sd_pgs |
| PPM019278 | PGS004081 (prscs.auto.GCST004131.IBD) |
PSS011260| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.52897 β: 0.4246 |
AUROC: 0.62 | — | 0 | beta = log(or)/sd_pgs |
| PPM019279 | PGS004081 (prscs.auto.GCST004131.IBD) |
PSS011288| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.64491 β: 0.49768 |
AUROC: 0.63 | — | 0 | beta = log(or)/sd_pgs |
| PPM019280 | PGS004081 (prscs.auto.GCST004131.IBD) |
PSS011273| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.87137 β: 0.62667 |
AUROC: 0.67 | — | 0 | beta = log(or)/sd_pgs |
| PPM019347 | PGS004082 (prscs.auto.GCST004773.T2D) |
PSS011225| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.49969 β: 0.40526 |
AUROC: 0.61 | — | 0 | beta = log(or)/sd_pgs |
| PPM019348 | PGS004082 (prscs.auto.GCST004773.T2D) |
PSS011236| European Ancestry| 377,408 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.49743 β: 0.40375 |
AUROC: 0.61 | — | 0 | beta = log(or)/sd_pgs |
| PPM019349 | PGS004082 (prscs.auto.GCST004773.T2D) |
PSS011249| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.26384 β: 0.23416 |
AUROC: 0.56 | — | 0 | beta = log(or)/sd_pgs |
| PPM019350 | PGS004082 (prscs.auto.GCST004773.T2D) |
PSS011265| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.52107 β: 0.41942 |
AUROC: 0.62 | — | 0 | beta = log(or)/sd_pgs |
| PPM019351 | PGS004082 (prscs.auto.GCST004773.T2D) |
PSS011291| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.37392 β: 0.31767 |
AUROC: 0.59 | — | 0 | beta = log(or)/sd_pgs |
| PPM019352 | PGS004082 (prscs.auto.GCST004773.T2D) |
PSS011278| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.61184 β: 0.47737 |
AUROC: 0.63 | — | 0 | beta = log(or)/sd_pgs |
| PPM019985 | PGS004093 (prscs.auto.GCST90013445.T1D) |
PSS011224| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: T1D | OR: 1.96153 β: 0.67372 |
AUROC: 0.69 | — | 0 | beta = log(or)/sd_pgs |
| PPM019986 | PGS004093 (prscs.auto.GCST90013445.T1D) |
PSS011235| European Ancestry| 322,349 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: T1D | OR: 2.44508 β: 0.89408 |
AUROC: 0.74 | — | 0 | beta = log(or)/sd_pgs |
| PPM019987 | PGS004093 (prscs.auto.GCST90013445.T1D) |
PSS011248| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: T1D | OR: 1.0158 β: 0.01568 |
AUROC: 0.5 | — | 0 | beta = log(or)/sd_pgs |
| PPM019988 | PGS004093 (prscs.auto.GCST90013445.T1D) |
PSS011264| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: T1D | OR: 1.42395 β: 0.35343 |
AUROC: 0.59 | — | 0 | beta = log(or)/sd_pgs |
| PPM019989 | PGS004093 (prscs.auto.GCST90013445.T1D) |
PSS011277| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: T1D | OR: 2.39116 β: 0.87178 |
AUROC: 0.74 | — | 0 | beta = log(or)/sd_pgs |
| PPM019269 | PGS004097 (prscs.CV.GCST004131.IBD) |
PSS011220| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.33762 β: 0.29089 |
AUROC: 0.58 | — | 0 | beta = log(or)/sd_pgs |
| PPM019270 | PGS004097 (prscs.CV.GCST004131.IBD) |
PSS011231| European Ancestry| 396,819 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.9368 β: 0.66104 |
AUROC: 0.68 | — | 0 | beta = log(or)/sd_pgs |
| PPM019271 | PGS004097 (prscs.CV.GCST004131.IBD) |
PSS011244| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.81277 β: 0.59485 |
AUROC: 0.67 | — | 0 | beta = log(or)/sd_pgs |
| PPM019272 | PGS004097 (prscs.CV.GCST004131.IBD) |
PSS011260| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.53892 β: 0.43108 |
AUROC: 0.62 | — | 0 | beta = log(or)/sd_pgs |
| PPM019273 | PGS004097 (prscs.CV.GCST004131.IBD) |
PSS011288| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.64559 β: 0.4981 |
AUROC: 0.63 | — | 0 | beta = log(or)/sd_pgs |
| PPM019274 | PGS004097 (prscs.CV.GCST004131.IBD) |
PSS011273| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.86814 β: 0.62494 |
AUROC: 0.67 | — | 0 | beta = log(or)/sd_pgs |
| PPM019980 | PGS004102 (prscs.CV.GCST90013445.T1D) |
PSS011224| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: T1D | OR: 1.98839 β: 0.68733 |
AUROC: 0.69 | — | 0 | beta = log(or)/sd_pgs |
| PPM019981 | PGS004102 (prscs.CV.GCST90013445.T1D) |
PSS011235| European Ancestry| 322,349 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: T1D | OR: 2.45742 β: 0.89911 |
AUROC: 0.74 | — | 0 | beta = log(or)/sd_pgs |
| PPM019982 | PGS004102 (prscs.CV.GCST90013445.T1D) |
PSS011248| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: T1D | OR: 0.99231 β: -0.00772 |
AUROC: 0.5 | — | 0 | beta = log(or)/sd_pgs |
| PPM019983 | PGS004102 (prscs.CV.GCST90013445.T1D) |
PSS011264| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: T1D | OR: 1.42533 β: 0.3544 |
AUROC: 0.59 | — | 0 | beta = log(or)/sd_pgs |
| PPM019984 | PGS004102 (prscs.CV.GCST90013445.T1D) |
PSS011277| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: T1D | OR: 2.43145 β: 0.88849 |
AUROC: 0.75 | — | 0 | beta = log(or)/sd_pgs |
| PPM019221 | PGS004105 (pt_clump.auto.GCST004131.IBD) |
PSS011220| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.24143 β: 0.21627 |
AUROC: 0.56 | — | 0 | beta = log(or)/sd_pgs |
| PPM019222 | PGS004105 (pt_clump.auto.GCST004131.IBD) |
PSS011231| European Ancestry| 396,819 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.63002 β: 0.48859 |
AUROC: 0.63 | — | 0 | beta = log(or)/sd_pgs |
| PPM019223 | PGS004105 (pt_clump.auto.GCST004131.IBD) |
PSS011244| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.40101 β: 0.33719 |
AUROC: 0.6 | — | 0 | beta = log(or)/sd_pgs |
| PPM019224 | PGS004105 (pt_clump.auto.GCST004131.IBD) |
PSS011260| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.35946 β: 0.30709 |
AUROC: 0.58 | — | 0 | beta = log(or)/sd_pgs |
| PPM019225 | PGS004105 (pt_clump.auto.GCST004131.IBD) |
PSS011288| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.34635 β: 0.29739 |
AUROC: 0.59 | — | 0 | beta = log(or)/sd_pgs |
| PPM019226 | PGS004105 (pt_clump.auto.GCST004131.IBD) |
PSS011273| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.59062 β: 0.46412 |
AUROC: 0.63 | — | 0 | beta = log(or)/sd_pgs |
| PPM019299 | PGS004106 (pt_clump.auto.GCST004773.T2D) |
PSS011225| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.25413 β: 0.22644 |
AUROC: 0.56 | — | 0 | beta = log(or)/sd_pgs |
| PPM019300 | PGS004106 (pt_clump.auto.GCST004773.T2D) |
PSS011236| European Ancestry| 377,408 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.2706 β: 0.23949 |
AUROC: 0.57 | — | 0 | beta = log(or)/sd_pgs |
| PPM019301 | PGS004106 (pt_clump.auto.GCST004773.T2D) |
PSS011249| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.1856 β: 0.17025 |
AUROC: 0.55 | — | 0 | beta = log(or)/sd_pgs |
| PPM019302 | PGS004106 (pt_clump.auto.GCST004773.T2D) |
PSS011265| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.30688 β: 0.26765 |
AUROC: 0.58 | — | 0 | beta = log(or)/sd_pgs |
| PPM019303 | PGS004106 (pt_clump.auto.GCST004773.T2D) |
PSS011291| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.25033 β: 0.22341 |
AUROC: 0.56 | — | 0 | beta = log(or)/sd_pgs |
| PPM019304 | PGS004106 (pt_clump.auto.GCST004773.T2D) |
PSS011278| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.32877 β: 0.28426 |
AUROC: 0.58 | — | 0 | beta = log(or)/sd_pgs |
| PPM019940 | PGS004117 (pt_clump.auto.GCST90013445.T1D) |
PSS011224| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: T1D | OR: 1.50723 β: 0.41027 |
AUROC: 0.61 | — | 0 | beta = log(or)/sd_pgs |
| PPM019941 | PGS004117 (pt_clump.auto.GCST90013445.T1D) |
PSS011235| European Ancestry| 322,349 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: T1D | OR: 1.76472 β: 0.56799 |
AUROC: 0.66 | — | 0 | beta = log(or)/sd_pgs |
| PPM019942 | PGS004117 (pt_clump.auto.GCST90013445.T1D) |
PSS011248| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: T1D | OR: 1.06976 β: 0.06744 |
AUROC: 0.52 | — | 0 | beta = log(or)/sd_pgs |
| PPM019943 | PGS004117 (pt_clump.auto.GCST90013445.T1D) |
PSS011264| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: T1D | OR: 1.21972 β: 0.19862 |
AUROC: 0.56 | — | 0 | beta = log(or)/sd_pgs |
| PPM019944 | PGS004117 (pt_clump.auto.GCST90013445.T1D) |
PSS011277| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: T1D | OR: 1.8907 β: 0.63695 |
AUROC: 0.68 | — | 0 | beta = log(or)/sd_pgs |
| PPM019227 | PGS004121 (pt_clump_nested.CV.GCST004131.IBD) |
PSS011220| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.27323 β: 0.24156 |
AUROC: 0.56 | — | 0 | beta = log(or)/sd_pgs |
| PPM019228 | PGS004121 (pt_clump_nested.CV.GCST004131.IBD) |
PSS011231| European Ancestry| 396,819 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.74769 β: 0.55829 |
AUROC: 0.65 | — | 0 | beta = log(or)/sd_pgs |
| PPM019229 | PGS004121 (pt_clump_nested.CV.GCST004131.IBD) |
PSS011244| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.51461 β: 0.41516 |
AUROC: 0.61 | — | 0 | beta = log(or)/sd_pgs |
| PPM019230 | PGS004121 (pt_clump_nested.CV.GCST004131.IBD) |
PSS011260| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.38976 β: 0.32913 |
AUROC: 0.59 | — | 0 | beta = log(or)/sd_pgs |
| PPM019231 | PGS004121 (pt_clump_nested.CV.GCST004131.IBD) |
PSS011288| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.49325 β: 0.40096 |
AUROC: 0.62 | — | 0 | beta = log(or)/sd_pgs |
| PPM019232 | PGS004121 (pt_clump_nested.CV.GCST004131.IBD) |
PSS011273| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.68525 β: 0.52191 |
AUROC: 0.65 | — | 0 | beta = log(or)/sd_pgs |
| PPM019305 | PGS004122 (pt_clump_nested.CV.GCST004773.T2D) |
PSS011225| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.32208 β: 0.2792 |
AUROC: 0.58 | — | 0 | beta = log(or)/sd_pgs |
| PPM019306 | PGS004122 (pt_clump_nested.CV.GCST004773.T2D) |
PSS011236| European Ancestry| 377,408 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.34756 β: 0.29829 |
AUROC: 0.58 | — | 0 | beta = log(or)/sd_pgs |
| PPM019307 | PGS004122 (pt_clump_nested.CV.GCST004773.T2D) |
PSS011249| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.21072 β: 0.19122 |
AUROC: 0.55 | — | 0 | beta = log(or)/sd_pgs |
| PPM019308 | PGS004122 (pt_clump_nested.CV.GCST004773.T2D) |
PSS011265| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.36428 β: 0.31063 |
AUROC: 0.59 | — | 0 | beta = log(or)/sd_pgs |
| PPM019309 | PGS004122 (pt_clump_nested.CV.GCST004773.T2D) |
PSS011291| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.28905 β: 0.2539 |
AUROC: 0.57 | — | 0 | beta = log(or)/sd_pgs |
| PPM019310 | PGS004122 (pt_clump_nested.CV.GCST004773.T2D) |
PSS011278| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.41752 β: 0.34891 |
AUROC: 0.6 | — | 0 | beta = log(or)/sd_pgs |
| PPM019945 | PGS004132 (pt_clump_nested.CV.GCST90013445.T1D) |
PSS011224| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: T1D | OR: 1.53997 β: 0.43176 |
AUROC: 0.62 | — | 0 | beta = log(or)/sd_pgs |
| PPM019946 | PGS004132 (pt_clump_nested.CV.GCST90013445.T1D) |
PSS011235| European Ancestry| 322,349 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: T1D | OR: 1.83108 β: 0.6049 |
AUROC: 0.67 | — | 0 | beta = log(or)/sd_pgs |
| PPM019947 | PGS004132 (pt_clump_nested.CV.GCST90013445.T1D) |
PSS011248| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: T1D | OR: 1.10378 β: 0.09874 |
AUROC: 0.52 | — | 0 | beta = log(or)/sd_pgs |
| PPM019948 | PGS004132 (pt_clump_nested.CV.GCST90013445.T1D) |
PSS011264| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: T1D | OR: 1.23285 β: 0.20933 |
AUROC: 0.56 | — | 0 | beta = log(or)/sd_pgs |
| PPM019949 | PGS004132 (pt_clump_nested.CV.GCST90013445.T1D) |
PSS011277| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: T1D | OR: 1.87052 β: 0.62622 |
AUROC: 0.67 | — | 0 | beta = log(or)/sd_pgs |
| PPM019245 | PGS004135 (sbayesr.auto.GCST004131.IBD) |
PSS011220| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.33765 β: 0.29091 |
AUROC: 0.58 | — | 0 | beta = log(or)/sd_pgs |
| PPM019247 | PGS004135 (sbayesr.auto.GCST004131.IBD) |
PSS011244| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.8584 β: 0.61972 |
AUROC: 0.67 | — | 0 | beta = log(or)/sd_pgs |
| PPM019248 | PGS004135 (sbayesr.auto.GCST004131.IBD) |
PSS011260| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.53371 β: 0.42769 |
AUROC: 0.61 | — | 0 | beta = log(or)/sd_pgs |
| PPM019249 | PGS004135 (sbayesr.auto.GCST004131.IBD) |
PSS011288| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.68556 β: 0.5221 |
AUROC: 0.65 | — | 0 | beta = log(or)/sd_pgs |
| PPM019250 | PGS004135 (sbayesr.auto.GCST004131.IBD) |
PSS011273| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.91118 β: 0.64772 |
AUROC: 0.68 | — | 0 | beta = log(or)/sd_pgs |
| PPM019246 | PGS004135 (sbayesr.auto.GCST004131.IBD) |
PSS011231| European Ancestry| 396,819 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.982 β: 0.68411 |
AUROC: 0.68 | — | 0 | beta = log(or)/sd_pgs |
| PPM019317 | PGS004136 (sbayesr.auto.GCST004773.T2D) |
PSS011225| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.48356 β: 0.39444 |
AUROC: 0.61 | — | 0 | beta = log(or)/sd_pgs |
| PPM019319 | PGS004136 (sbayesr.auto.GCST004773.T2D) |
PSS011249| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.28557 β: 0.2512 |
AUROC: 0.57 | — | 0 | beta = log(or)/sd_pgs |
| PPM019320 | PGS004136 (sbayesr.auto.GCST004773.T2D) |
PSS011265| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.54343 β: 0.43401 |
AUROC: 0.62 | — | 0 | beta = log(or)/sd_pgs |
| PPM019321 | PGS004136 (sbayesr.auto.GCST004773.T2D) |
PSS011291| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.4041 β: 0.3394 |
AUROC: 0.6 | — | 0 | beta = log(or)/sd_pgs |
| PPM019322 | PGS004136 (sbayesr.auto.GCST004773.T2D) |
PSS011278| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.60963 β: 0.476 |
AUROC: 0.63 | — | 0 | beta = log(or)/sd_pgs |
| PPM019318 | PGS004136 (sbayesr.auto.GCST004773.T2D) |
PSS011236| European Ancestry| 377,408 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.50666 β: 0.40989 |
AUROC: 0.61 | — | 0 | beta = log(or)/sd_pgs |
| PPM019956 | PGS004147 (sbayesr.auto.GCST90013445.T1D) |
PSS011235| European Ancestry| 322,349 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: T1D | OR: 2.08691 β: 0.73568 |
AUROC: 0.7 | — | 0 | beta = log(or)/sd_pgs |
| PPM019957 | PGS004147 (sbayesr.auto.GCST90013445.T1D) |
PSS011248| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: T1D | OR: 0.97765 β: -0.0226 |
AUROC: 0.51 | — | 0 | beta = log(or)/sd_pgs |
| PPM019958 | PGS004147 (sbayesr.auto.GCST90013445.T1D) |
PSS011264| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: T1D | OR: 1.32037 β: 0.27791 |
AUROC: 0.58 | — | 0 | beta = log(or)/sd_pgs |
| PPM019959 | PGS004147 (sbayesr.auto.GCST90013445.T1D) |
PSS011277| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: T1D | OR: 1.73561 β: 0.55136 |
AUROC: 0.66 | — | 0 | beta = log(or)/sd_pgs |
| PPM019955 | PGS004147 (sbayesr.auto.GCST90013445.T1D) |
PSS011224| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: T1D | OR: 1.62883 β: 0.48786 |
AUROC: 0.63 | — | 0 | beta = log(or)/sd_pgs |
| PPM019239 | PGS004151 (UKBB_EnsPGS.GCST004131.IBD) |
PSS011220| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.39728 β: 0.33453 |
AUROC: 0.59 | — | 0 | beta = log(or)/sd_pgs |
| PPM019240 | PGS004151 (UKBB_EnsPGS.GCST004131.IBD) |
PSS011231| European Ancestry| 396,819 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 2.06398 β: 0.72464 |
AUROC: 0.69 | — | 0 | beta = log(or)/sd_pgs |
| PPM019241 | PGS004151 (UKBB_EnsPGS.GCST004131.IBD) |
PSS011244| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.99477 β: 0.69053 |
AUROC: 0.69 | — | 0 | beta = log(or)/sd_pgs |
| PPM019242 | PGS004151 (UKBB_EnsPGS.GCST004131.IBD) |
PSS011260| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.58122 β: 0.4582 |
AUROC: 0.62 | — | 0 | beta = log(or)/sd_pgs |
| PPM019243 | PGS004151 (UKBB_EnsPGS.GCST004131.IBD) |
PSS011288| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 1.76291 β: 0.56697 |
AUROC: 0.65 | — | 0 | beta = log(or)/sd_pgs |
| PPM019244 | PGS004151 (UKBB_EnsPGS.GCST004131.IBD) |
PSS011273| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Inflammatory bowel disease | OR: 2.04212 β: 0.71399 |
AUROC: 0.69 | — | 0 | beta = log(or)/sd_pgs |
| PPM019323 | PGS004152 (UKBB_EnsPGS.GCST004773.T2D) |
PSS011225| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.53171 β: 0.42638 |
AUROC: 0.62 | — | 0 | beta = log(or)/sd_pgs |
| PPM019324 | PGS004152 (UKBB_EnsPGS.GCST004773.T2D) |
PSS011236| European Ancestry| 377,408 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.5534 β: 0.44045 |
AUROC: 0.62 | — | 0 | beta = log(or)/sd_pgs |
| PPM019325 | PGS004152 (UKBB_EnsPGS.GCST004773.T2D) |
PSS011249| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.29976 β: 0.26218 |
AUROC: 0.57 | — | 0 | beta = log(or)/sd_pgs |
| PPM019326 | PGS004152 (UKBB_EnsPGS.GCST004773.T2D) |
PSS011265| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.57552 β: 0.45459 |
AUROC: 0.63 | — | 0 | beta = log(or)/sd_pgs |
| PPM019327 | PGS004152 (UKBB_EnsPGS.GCST004773.T2D) |
PSS011291| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.44083 β: 0.36522 |
AUROC: 0.6 | — | 0 | beta = log(or)/sd_pgs |
| PPM019328 | PGS004152 (UKBB_EnsPGS.GCST004773.T2D) |
PSS011278| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: Type 2 Diabetes | OR: 1.66922 β: 0.51236 |
AUROC: 0.64 | — | 0 | beta = log(or)/sd_pgs |
| PPM019960 | PGS004162 (UKBB_EnsPGS.GCST90013445.T1D) |
PSS011224| European Ancestry| 199,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: T1D | OR: 2.35332 β: 0.85583 |
AUROC: 0.72 | — | 0 | beta = log(or)/sd_pgs |
| PPM019961 | PGS004162 (UKBB_EnsPGS.GCST90013445.T1D) |
PSS011235| European Ancestry| 322,349 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: T1D | OR: 2.27887 β: 0.82368 |
AUROC: 0.72 | — | 0 | beta = log(or)/sd_pgs |
| PPM019962 | PGS004162 (UKBB_EnsPGS.GCST90013445.T1D) |
PSS011248| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: T1D | OR: 1.0051 β: 0.00509 |
AUROC: 0.5 | — | 0 | beta = log(or)/sd_pgs |
| PPM019963 | PGS004162 (UKBB_EnsPGS.GCST90013445.T1D) |
PSS011264| European Ancestry| 66,865 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: T1D | OR: 1.43168 β: 0.35885 |
AUROC: 0.58 | — | 0 | beta = log(or)/sd_pgs |
| PPM019964 | PGS004162 (UKBB_EnsPGS.GCST90013445.T1D) |
PSS011277| European Ancestry| 90,274 individuals |
PGP000517 | Monti M R et al. medRxiv (2023) |Pre |
Reported Trait: T1D | OR: 2.88687 β: 1.06017 |
AUROC: 0.77 | — | 0 | beta = log(or)/sd_pgs |
| PPM020104 | PGS004171 (t1d_1) |
PSS011296| European Ancestry| 45,334 individuals |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.7 | — | year of birth, sex | — |
| PPM020105 | PGS004172 (t1d_2) |
PSS011296| European Ancestry| 45,334 individuals |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.71 | — | year of birth, sex | — |
| PPM020106 | PGS004173 (t1d_3) |
PSS011296| European Ancestry| 45,334 individuals |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.71 | — | year of birth, sex | — |
| PPM020107 | PGS004174 (t1d_4) |
PSS011296| European Ancestry| 45,334 individuals |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.71 | — | year of birth, sex | — |
| PPM020108 | PGS004175 (t1d_5) |
PSS011296| European Ancestry| 45,334 individuals |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Reported Trait: Type 1 diabetes | — | AUROC: 0.7 | — | year of birth, sex | — |
| PPM020114 | PGS004181 (t2d_1) |
PSS011296| European Ancestry| 45,334 individuals |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.69418 | — | year of birth, sex | — |
| PPM020115 | PGS004182 (t2d_2) |
PSS011296| European Ancestry| 45,334 individuals |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.69491 | — | year of birth, sex | — |
| PPM020116 | PGS004183 (t2d_3) |
PSS011296| European Ancestry| 45,334 individuals |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.69959 | — | year of birth, sex | — |
| PPM020117 | PGS004184 (t2d_4) |
PSS011296| European Ancestry| 45,334 individuals |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.69539 | — | year of birth, sex | — |
| PPM020118 | PGS004185 (t2d_5) |
PSS011296| European Ancestry| 45,334 individuals |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Reported Trait: Type 2 diabetes | — | AUROC: 0.69924 | — | year of birth, sex | — |
| PPM020158 | PGS004223 (PRS139_T2D) |
PSS011299| European Ancestry| 395,809 individuals |
PGP000523 | Lin J et al. Sci Total Environ (2023) |
Reported Trait: Incident type 2 diabetes | HR: 1.5 [1.48, 1.52] | — | — | age, gender, education, Townsend deprivation index, smoking status, alcohol consumption, body mass index, total physical activity, dietary pattern, vitamin D supplement, use of sun/UV protection, PM2.5, hypertension, cardiovascular disease, antihypertensive medications use, cholesterol-lowering medications use, and average outdoor light time | — |
| PPM020159 | PGS004223 (PRS139_T2D) |
PSS011299| European Ancestry| 395,809 individuals |
PGP000523 | Lin J et al. Sci Total Environ (2023) |
Reported Trait: Incident type 2 diabetes with outdoor light time in summer | — | — | Hazard ratio (HR, outdoor light time in summer >3h/day and PRS in top tertile vs. outdoor light time in summer <2-3 h/day and PRS in bottom tertile): 2.53 [2.39, 2.69] | Hb1Ac concentrations at baseline | — |
| PPM020160 | PGS004223 (PRS139_T2D) |
PSS011299| European Ancestry| 395,809 individuals |
PGP000523 | Lin J et al. Sci Total Environ (2023) |
Reported Trait: Incident type 2 diabetes with outdoor light time in winter | — | — | Hazard ratio (HR, outdoor light time in winter >2 h/day and PRS in top tertile vs. outdoor light time in winter <1-2 h/day and PRS in bottom tertile): 2.56 [2.42, 2.71] | Hb1Ac concentrations at baseline | — |
| PPM020161 | PGS004223 (PRS139_T2D) |
PSS011299| European Ancestry| 395,809 individuals |
PGP000523 | Lin J et al. Sci Total Environ (2023) |
Reported Trait: Incident type 2 diabetes with outdoor light time on average | — | — | Hazard ratio (HR, outdoor light time on average >2.5 h/day and PRS in top tertile vs. outdoor light time on average 1.5-2.5 h/day and PRS in bottom tertile): 2.52 [2.37, 2.67] | Hb1Ac concentrations at baseline | — |
| PPM020217 | PGS004225 (PRS46_T2DEastAsia) |
PSS011306| East Asian Ancestry| 5,024 individuals |
PGP000526 | Liu J et al. Nutrients (2023) |
Reported Trait: Type 2 diabetes with lifestyle group | — | — | Hazard ratio (HR, poor lifestyle and high PRS vs. ideal lifestyle and low PRS): 3.93 [2.07, 7.44] | — | — |
| PPM020215 | PGS004225 (PRS46_T2DEastAsia) |
PSS011306| East Asian Ancestry| 5,024 individuals |
PGP000526 | Liu J et al. Nutrients (2023) |
Reported Trait: Type 2 diabetes | — | — | Hazard ratio (HR, high vs low quintile): 2.06 [1.42, 2.97] | age, gender, SBP, DBP, FBG, TC, TG, HDLC, and diabetes family history | — |
| PPM020216 | PGS004226 (PRS50_T2DEur) |
PSS011306| East Asian Ancestry| 5,024 individuals |
PGP000526 | Liu J et al. Nutrients (2023) |
Reported Trait: Type 2 diabetes | — | — | Hazard ratio (HR, high vs low quintile): 1.69 [1.17, 2.44] | age, gender, SBP, DBP, FBG, TC, TG, HDLC, and diabetes family history | — |
| PPM020292 | PGS004240 (PRS89_CRC) |
PSS011326| Multi-ancestry (including European)| 3,809 individuals |
PGP000541 | Fan L et al. Int J Cancer (2023) |
Reported Trait: Colorectal cancer | — | — | Hazard ratio (HR, high vs low PRS tertile): 2.51 [2.04, 3.09] | Age, sex, red meat intake, BMI, family history of CRC, smoking status, alcohol intake, townsend deprivation index, race, education (College or University degree, vocational qualifications, optional national exams at ages 17 to 18 years, national exams at age 16 years, none of the above, unknown), other common diseases (hypertension, heart diseases, diabetes) | — |
| PPM020293 | PGS004240 (PRS89_CRC) |
PSS011327| Multi-ancestry (including European)| 125,021 individuals |
PGP000541 | Fan L et al. Int J Cancer (2023) |
Reported Trait: Colorectal cancer | — | — | Hazard ratio (HR, high vs low PRS tertile): 2.48 [2.11, 2.91] | Age, sex, red meat intake, BMI, family history of CRC, smoking status, alcohol intake, townsend deprivation index, race, education (College or University degree, vocational qualifications, optional national exams at ages 17 to 18 years, national exams at age 16 years, none of the above, unknown), other common diseases (hypertension, heart diseases, diabetes) | — |
| PPM020294 | PGS004240 (PRS89_CRC) |
PSS011327| Multi-ancestry (including European)| 125,021 individuals |
PGP000541 | Fan L et al. Int J Cancer (2023) |
Reported Trait: Colorectal cancer x Saturated fatty acids interaction | HR: 1.14 [1.11, 1.18] | — | — | Age, sex, race, BMI, family history, red meat intake, smoking status, alcohol intake, townsend deprivation index, education level, other common diseases (hypertension, heart diseases, diabetes) | — |
| PPM020295 | PGS004240 (PRS89_CRC) |
PSS011326| Multi-ancestry (including European)| 3,809 individuals |
PGP000541 | Fan L et al. Int J Cancer (2023) |
Reported Trait: Colorectal cancer x Saturated fatty acids interaction | HR: 1.17 [1.12, 1.22] | — | — | Age, sex, race, BMI, family history, red meat intake, smoking status, alcohol intake, townsend deprivation index, education level, other common diseases (hypertension, heart diseases, diabetes) | — |
| PPM020296 | PGS004240 (PRS89_CRC) |
PSS011327| Multi-ancestry (including European)| 125,021 individuals |
PGP000541 | Fan L et al. Int J Cancer (2023) |
Reported Trait: Colorectal cancer (with saturated fatty acid and clinical risk factors) | — | AUROC: 0.734 [0.72, 0.749] | — | Age, sex, race, BMI, family history, red meat intake, smoking status, alcohol intake, townsend deprivation index, education level, other common diseases (hypertension, heart diseases, diabetes) | — |
| PPM020297 | PGS004240 (PRS89_CRC) |
PSS011326| Multi-ancestry (including European)| 3,809 individuals |
PGP000541 | Fan L et al. Int J Cancer (2023) |
Reported Trait: Colorectal cancer (with saturated fatty acid and clinical risk factors) | — | AUROC: 0.662 [0.64, 0.683] | — | Age, sex, race, BMI, family history, red meat intake, smoking status, alcohol intake, townsend deprivation index, education level, other common diseases (hypertension, heart diseases, diabetes) | — |
| PPM020300 | PGS004243 (PRS67_colorectum) |
PSS011328| European Ancestry| 133,830 individuals |
PGP000542 | Kim ES et al. NPJ Precis Oncol (2023) |
Reported Trait: Colorectal cancer | HR: 1.49 [1.39, 1.61] | — | — | first 10 genetic principal components | — |
| PPM020309 | PGS004243 (PRS67_colorectum) |
PSS011329| European Ancestry| 115,207 individuals |
PGP000542 | Kim ES et al. NPJ Precis Oncol (2023) |
Reported Trait: Colorectal cancer | HR: 1.51 [1.42, 1.61] | — | — | first 10 genetic principal components | — |
| PPM020307 | PGS004250 (PRS19_pancreas) |
PSS011328| European Ancestry| 133,830 individuals |
PGP000542 | Kim ES et al. NPJ Precis Oncol (2023) |
Reported Trait: Pancreatic cancer | HR: 1.37 [1.16, 1.61] | — | — | first 10 genetic principal components | — |
| PPM020314 | PGS004250 (PRS19_pancreas) |
PSS011329| European Ancestry| 115,207 individuals |
PGP000542 | Kim ES et al. NPJ Precis Oncol (2023) |
Reported Trait: Pancreatic cancer | HR: 1.39 [1.2, 1.61] | — | — | first 10 genetic principal components | — |
| PPM020320 | PGS004253 (uc_ldpred2) |
PSS011334| European Ancestry| 21,335 individuals |
PGP000545 | Middha P et al. Nat Commun (2024) |
Reported Trait: Ulcerative colitis | OR: 1.75 [1.59, 1.92] | AUROC: 0.65 [0.62, 0.68] | — | age, sex, 10 PCs | — |
| PPM020319 | PGS004253 (uc_ldpred2) |
PSS011335| European Ancestry| 5,735 individuals |
PGP000545 | Middha P et al. Nat Commun (2024) |
Reported Trait: Ulcerative colitis | OR: 1.84 [1.76, 1.93] | AUROC: 0.66 [0.64, 0.68] | — | age at diagnosis/enrollment, sex, genotyping array, 10 PCs | — |
| PPM020321 | PGS004254 (cd_ldpred2) |
PSS011333| European Ancestry| 5,285 individuals |
PGP000545 | Middha P et al. Nat Commun (2024) |
Reported Trait: Crohn's disease | OR: 1.83 [1.72, 1.95] | AUROC: 0.72 [0.69, 0.74] | — | age at diagnosis/enrollment, sex, genotyping array, 10 PCs | — |
| PPM020322 | PGS004254 (cd_ldpred2) |
PSS011332| European Ancestry| 22,296 individuals |
PGP000545 | Middha P et al. Nat Commun (2024) |
Reported Trait: Crohn's disease | OR: 2.18 [2.05, 2.32] | AUROC: 0.72 [0.7, 0.73] | — | age, sex, 10 PCs | — |
| PPM020419 | PGS004320 (PRS16_UGI) |
PSS011353| European Ancestry| 415,589 individuals |
PGP000551 | Liu W et al. Nutrients (2023) |
Reported Trait: Upper gastrointestinal cancer with unfavourable diet | — | — | Hazard ratio (HR, unfavourable diet and PRS in top quintile vs favourable diet with PRS in bottom quintile): 1.6 [1.2, 2.13] | age at recruitment, sex, assessment center (10 regions), ethnicity, Townsend deprivation index, education, BMI, glycosylated hemoglobin (HbA1c), smoking status, alcohol intake frequency, physical activity, multimorbidity, family history of cancer, and the first 10 principal components of ancestry | — |
| PPM020433 | PGS004323 (PRS91_T2D) |
PSS011360| East Asian Ancestry| 2,676 individuals |
PGP000557 | Tan Q et al. J Hazard Mater (2023) |
Reported Trait: Fasting plasma glucose | β: 0.292 [0.181, 0.404] | — | — | Age, gender, BMI, community, and the first 10 principal components of ancestry | — |
| PPM020434 | PGS004323 (PRS91_T2D) |
PSS011360| East Asian Ancestry| 2,676 individuals |
PGP000557 | Tan Q et al. J Hazard Mater (2023) |
Reported Trait: HOMA-beta | β: -0.143 [-0.212, -0.073] | — | — | Age, gender, BMI, community, and the first 10 principal components of ancestry | — |
| PPM020435 | PGS004323 (PRS91_T2D) |
PSS011360| East Asian Ancestry| 2,676 individuals |
PGP000557 | Tan Q et al. J Hazard Mater (2023) |
Reported Trait: Impaired fasting glucose | β: 1.809 [1.362, 2.402] | — | — | Age, gender, BMI, community, and the first 10 principal components of ancestry | — |
| PPM020436 | PGS004323 (PRS91_T2D) |
PSS011360| East Asian Ancestry| 2,676 individuals |
PGP000557 | Tan Q et al. J Hazard Mater (2023) |
Reported Trait: Type 2 diabetes | β: 2.263 [1.72, 2.977] | — | — | Age, gender, BMI, community, and the first 10 principal components of ancestry | — |
| PPM020560 | PGS004445 (disease.D12.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: D12 (Benign neoplasm of colon, rectum, anus and anal canal) | OR: 1.19821 | — | — | — | — |
| PPM020583 | PGS004468 (disease.K21.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: K21 (Gastro-oesophageal reflux disease) | OR: 1.19096 | — | — | — | — |
| PPM020584 | PGS004469 (disease.K22.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: K22 (Other diseases of oesophagus) | OR: 1.1802 | — | — | — | — |
| PPM020585 | PGS004470 (disease.K29.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: K29 (Gastritis and duodenitis) | OR: 1.14876 | — | — | — | — |
| PPM020589 | PGS004474 (disease.K57.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: K57 (Diverticular disease of intestine) | OR: 1.3125 | — | — | — | — |
| PPM020590 | PGS004475 (disease.K59.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: K59 (Other functional intestinal disorders) | OR: 1.06814 | — | — | — | — |
| PPM020591 | PGS004476 (disease.K80.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: K80 (Cholelithiasis) | OR: 1.21943 | — | — | — | — |
| PPM020614 | PGS004499 (disease.T2D.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Type 2 diabetes (T2D) | OR: 1.51252 | — | — | — | — |
| PPM020630 | PGS004515 (meta.D12.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: D12 (Benign neoplasm of colon, rectum, anus and anal canal) | OR: 1.20806 | — | — | — | — |
| PPM020653 | PGS004538 (meta.K21.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: K21 (Gastro-oesophageal reflux disease) | OR: 1.26524 | — | — | — | — |
| PPM020654 | PGS004539 (meta.K22.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: K22 (Other diseases of oesophagus) | OR: 1.20366 | — | — | — | — |
| PPM020655 | PGS004540 (meta.K29.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: K29 (Gastritis and duodenitis) | OR: 1.22886 | — | — | — | — |
| PPM020659 | PGS004544 (meta.K57.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: K57 (Diverticular disease of intestine) | OR: 1.32103 | — | — | — | — |
| PPM020660 | PGS004545 (meta.K59.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: K59 (Other functional intestinal disorders) | OR: 1.11541 | — | — | — | — |
| PPM020661 | PGS004546 (meta.K80.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: K80 (Cholelithiasis) | OR: 1.29862 | — | — | — | — |
| PPM020684 | PGS004569 (meta.T2D.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Type 2 diabetes (T2D) | OR: 1.63182 | — | — | — | — |
| PPM020695 | PGS004580 (CRC_PRSCS) |
PSS011366| European Ancestry| 342,499 individuals |
PGP000562 | Youssef O et al. Lab Invest (2024) |
Reported Trait: Colorectal cancer | OR: 1.5 [1.46, 1.55] | — | — | — | — |
| PPM020759 | PGS004602 (PRS424_T2D) |
PSS011395| European Ancestry| 357,419 individuals |
PGP000580 | Zhuang P et al. Diabetes Care (2021) |
Reported Trait: Type 2 diabetes | HR: 1.54 [1.5, 1.58] β: 0.431 (0.014) |
— | — | Age, sex, center, BMI, education, Townsend deprivation index, household income, smoking, alcohol consumption, physical activity, history of hypertension, history of high cholesterol, vitamin supplement use, mineral supplement use, aspirin use, and lipid-lowering medication | — |
| PPM020760 | PGS004602 (PRS424_T2D) |
PSS011395| European Ancestry| 357,419 individuals |
PGP000580 | Zhuang P et al. Diabetes Care (2021) |
Reported Trait: HbA1c | β: 0.544 (0.007) | — | — | Age, sex, center, BMI, education, Townsend deprivation index, household income, smoking, alcohol consumption, physical activity, history of hypertension, history of high cholesterol, vitamin supplement use, mineral supplement use, aspirin use, and lipid-lowering medication | — |
| PPM020779 | PGS004602 (PRS424_T2D) |
PSS011407| Multi-ancestry (including European)| 59,325 individuals |
PGP000587 | Luo M et al. Br J Sports Med (2023) |Ext. |
Reported Trait: Incident type 2 diabetes | — | — | Hazard ratio (HR, high vs low PRS tertile): 2.43 [2.04, 2.9] | Age as the underlying timescale, gender, genotyping array, the first 10 principal components of ancestry, ethnicity, educational attainment, household income, Townsend deprivation index, employment status, assessment center, moking status, alcohol consumption, healthy diet score, hypertension, dyslipidemia, depression, total wear time, seasonality, and total volume of physical activity | — |
| PPM020789 | PGS004614 (DivD_SNPWeights) |
PSS011413| European Ancestry| 7,696 individuals |
PGP000592 | Wu Y et al. Cell Genom (2023) |
Reported Trait: Diverticular disease | — | AUROC: 0.76 [0.721, 0.8] | — | family history, age, and sex | — |
| PPM020790 | PGS004614 (DivD_SNPWeights) |
PSS011415| South Asian Ancestry| 11,896 individuals |
PGP000592 | Wu Y et al. Cell Genom (2023) |
Reported Trait: Diverticular disease | — | AUROC: 0.638 [0.612, 0.658] | — | — | — |
| PPM020791 | PGS004614 (DivD_SNPWeights) |
PSS011414| African Ancestry| 9,175 individuals |
PGP000592 | Wu Y et al. Cell Genom (2023) |
Reported Trait: Diverticular disease | — | AUROC: 0.587 [0.563, 0.611] | — | — | — |
| PPM020874 | PGS004689 (colorectal_cancer) |
PSS011433| European Ancestry| 40,648 individuals |
PGP000596 | Hu J et al. JNCI Cancer Spectr (2024) |
Reported Trait: Colorectal cancer | — | AUROC: 0.556 | — | — | — |
| PPM020878 | PGS004693 (pancreatic_cancer) |
PSS011437| European Ancestry| 40,877 individuals |
PGP000596 | Hu J et al. JNCI Cancer Spectr (2024) |
Reported Trait: Pancreatic cancer | — | AUROC: 0.5426 | — | — | — |
| PPM021062 | PGS004837 (t2d_PRSmix_eur) |
PSS011507| European Ancestry| 7,879 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (Full model versus model with only covariates): 0.099 [0.087, 0.112] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM021063 | PGS004838 (t2d_PRSmix_sas) |
PSS011474| South Asian Ancestry| 8,837 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (Full model versus model with only covariates): 0.061 [0.051, 0.07] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM021064 | PGS004839 (t2d_PRSmixPlus_eur) |
PSS011507| European Ancestry| 7,879 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (Full model versus model with only covariates): 0.129 [0.115, 0.143] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM021065 | PGS004840 (t2d_PRSmixPlus_sas) |
PSS011474| South Asian Ancestry| 8,837 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Type 2 diabetes | — | — | Incremental R2 (Full model versus model with only covariates): 0.065 [0.055, 0.075] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM021085 | PGS004859 (T2D_PRS_CS) |
PSS011514| African Ancestry| 7,010 individuals |
PGP000606 | Szczerbinski L et al. medRxiv (2023) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.43 [1.35, 1.52] | AUROC: 0.76 [0.74, 0.77] | — | age, sex, 10 principal components | — |
| PPM021086 | PGS004859 (T2D_PRS_CS) |
PSS011516| Hispanic or Latin American Ancestry| 5,382 individuals |
PGP000606 | Szczerbinski L et al. medRxiv (2023) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 2.09 [1.92, 2.27] | AUROC: 0.84 [0.82, 0.86] | — | age, sex, 10 principal components | — |
| PPM021087 | PGS004859 (T2D_PRS_CS) |
PSS011517| East Asian Ancestry| 663 individuals |
PGP000606 | Szczerbinski L et al. medRxiv (2023) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.8 [1.4, 2.32] | AUROC: 0.84 [0.79, 0.9] | — | age, sex, 10 principal components | — |
| PPM021088 | PGS004859 (T2D_PRS_CS) |
PSS011518| European Ancestry| 22,306 individuals |
PGP000606 | Szczerbinski L et al. medRxiv (2023) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 2.33 [2.23, 2.43] | AUROC: 0.77 [0.76, 0.78] | — | age, sex, 10 principal components | — |
| PPM021089 | PGS004859 (T2D_PRS_CS) |
PSS011519| South Asian Ancestry| 323 individuals |
PGP000606 | Szczerbinski L et al. medRxiv (2023) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 2.28 [1.64, 3.16] | AUROC: 0.88 [0.81, 0.95] | — | age, sex, 10 principal components | — |
| PPM021090 | PGS004859 (T2D_PRS_CS) |
PSS011515| Multi-ancestry (including European)| 35,684 individuals |
PGP000606 | Szczerbinski L et al. medRxiv (2023) |Ext.|Pre |
Reported Trait: Type 2 diabetes | OR: 1.93 [1.87, 1.99] | AUROC: 0.75 [0.74, 0.75] | — | age, sex, 10 principal components | — |
| PPM021084 | PGS004859 (T2D_PRS_CS) |
PSS011513| Multi-ancestry (including European)| 546 individuals |
PGP000605 | Deutsch AJ et al. Diabetes Care (2023) |
Reported Trait: Glucocorticoid-induced hyperglycemia | OR: 1.44 [1.02, 2.04] | AUROC: 0.68 | — | eGFR, glucocorticoid dose | — |
| PPM021133 | PGS004868 (T2DPGS) |
PSS011537| European Ancestry| 345,217 individuals |
PGP000617 | Yun JS et al. Cardiovasc Diabetol (2022) |
Reported Trait: Incident cardiovascular disease | HR: 1.06 [1.04, 1.07] | — | Hazard ratio (HR, top PRS percentile vs bottom quintile): 1.35 [1.19, 1.53] | Age, sex, genotyping array, 10 PCs | — |
| PPM021265 | PGS004887 (T2D_gePGS) |
PSS011671| Multi-ancestry (including European)| 14,712 individuals |
PGP000619 | Mandla R et al. Genome Med (2024) |
Reported Trait: Incident type 2 diabetes cases | HR: 1.48 [1.4, 1.57] | C-index: 0.816 | — | first 10 ancestry PCs, age, sex, BMI, family history of T2D, systolic blood pressure, triglycerides, total cholesterol, and HDL combined into a clinical risk score and random glucose | — |
|
PGS Sample Set ID (PSS) |
Phenotype Definitions and Methods | Participant Follow-up Time | Sample Numbers | Age of Study Participants | Sample Ancestry | Additional Ancestry Description | Cohort(s) | Additional Sample/Cohort Information |
|---|---|---|---|---|---|---|---|---|
| PSS009164 | — | — | 1,354 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS011433 | — | — | [
|
— | European | — | UKB | — |
| PSS011437 | — | — | [
|
— | European | — | UKB | — |
| PSS011441 | — | — | [ ,
82.0 % Male samples |
Mean = 27.5 years | African unspecified | — | PDAY | — |
| PSS011442 | — | — | [ ,
77.0 % Male samples |
Mean = 26.7 years | European | — | PDAY | — |
| PSS011444 | Participants were classified according to the most advanced finding at colonoscopy (CRC, AA, non-advanced adenoma, other or none of above). Fecal hemoglobin concentrations were measured using Ridascreen Haemoglobin which is based on an enzyme immunoassay (participants recruited until December 2008), and FOB Gold which is based on a latex agglutination assay (participants recruited from December 2008 on). In both groups of participants, fully automated FIT analyses were conducted, blinded with respect to colonoscopy results, using Tecan Freedom Evolyzer (Ridascreen Haemoglobin) and Abbott Architect c8000 (FOB Gold), respectively. | — | [ ,
51.4 % Male samples |
Mean = 61.8 years | European, Not reported | — | BLITZ | — |
| PSS011445 | Participants were classified according to the most advanced finding at colonoscopy (CRC, AA, non-advanced adenoma, other or none of above). Fecal hemoglobin concentrations were measured using Ridascreen Haemoglobin which is based on an enzyme immunoassay (participants recruited until December 2008), and FOB Gold which is based on a latex agglutination assay (participants recruited from December 2008 on). In both groups of participants, fully automated FIT analyses were conducted, blinded with respect to colonoscopy results, using Tecan Freedom Evolyzer (Ridascreen Haemoglobin) and Abbott Architect c8000 (FOB Gold), respectively. | — | [ ,
53.5 % Male samples |
Mean = 63.1 years | European, Not reported | — | BLITZ | — |
| PSS000016 | Inflammatory bowel disease ascertainment was based on report in an interview with a trained nurse, or an ICD-9 code of 555.X or ICD-10 code of K51.X in hospitalization records. | — | [
|
— | European | — | UKB | UKB Phase 2 |
| PSS000017 | Type 2 diabetes ascertainment was based on self-report in an interview with a trained nurse or an ICD-10 code of E11.X in hospitalization records. | — | [
|
— | European | — | UKB | UKB Phase 2 |
| PSS000025 | Incident cases of Type 2 Diabetes in 5.63 years follow-up | — | [ ,
55.0 % Male samples |
— | European (Estonian) |
— | EB | — |
| PSS000026 | Cases were defined on the presence or absence of severe insulin deficiency (requiring insulin treatment at 3 years after diagnosis). We cate- gorized people as severely insulin defi- cient if they received continuous insulin treatment at ,3 years from the time of diagnosis and had a low measured C-peptide level (nonfasting measured ,0.6 nmol/L or equivalent fasting blood glucose level or posthome meal urine C-peptide–to–creatinine ratio) | — | [ ,
46.3 % Male samples |
— | European | — | P2ID | A cross-sectional cohort of people in whom diabetes was diagnosed between the ages of 20 and 40 years (n = 223), who had had diabetes for .3 years, and who had self-reported as white European from Devon and Cornwall in South West England. Known monogenic diabetes and secondary diabetes pa- tients were excluded. |
| PSS000027 | Type 1 diabetes status was assigned according to clinician diagnosis. | — | [ ,
33.78 % Male samples |
— | African American or Afro-Caribbean | — | UFDI | Total sample number contains the number of controls, cases, and includes the number of first/second-degree relatives and samples identified as "at risk" (autoantibody positive) used in other analyses. |
| PSS000028 | Type 1 diabetes status was assigned according to clinician diagnosis. | — | [ ,
44.84 % Male samples |
— | Hispanic or Latin American | Samples labeled Caucasian (Hispanic ethnicity) in the original publication. | UFDI | Total sample number contains the number of controls, cases, and includes the number of first/second-degree relatives and samples identified as "at risk" (autoantibody positive) used in other analyses. |
| PSS000029 | Type 1 diabetes status was assigned according to clinician diagnosis. | — | [ ,
47.34 % Male samples |
— | European | Samples labeled Caucasian (non-Hispanic) in the original publication. | UFDI | Total sample number contains the number of controls, cases, and includes the number of first/second-degree relatives and samples identified as "at risk" (autoantibody positive) used in other analyses. |
| PSS000030 | — | — | [
|
— | African unspecified | — | 7 cohorts
|
— |
| PSS000031 | Cases are diagnosed with type 1 diabetes. | — | [
|
— | African unspecified | — | UOF | — |
| PSS000032 | Type 1 Diabetes Case Definition = Clinical diagnosis of diabetes at less than or equal to 20 years of age; On insulin within 1 year from the time of diagnosis; Still on insulin at the time of recruit- ment; Not using oral antihyperglycemic agents; Did not ever self-report as having type 2 diabetes (T2D) | — | [
|
— | European | — | UKB | — |
| PSS009272 | — | — | 18,722 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009281 | — | — | 19,812 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009282 | — | — | 19,463 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009287 | — | — | 18,975 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009288 | — | — | 19,931 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS000042 | T2D was defined by a fasting plasma glucose ≥7.0 mmol/L (≥126 mg/dL) or report of taking diabetes medications | — | [ ,
38.8 % Male samples |
— | African American or Afro-Caribbean | — | CARDIA | — |
| PSS000043 | T2D was defined by a fasting plasma glucose ≥7.0 mmol/L (≥126 mg/dL) or report of taking diabetes medications | — | [ ,
46.5 % Male samples |
— | European | — | CARDIA | — |
| PSS000044 | T2D was defined by a fasting plasma glucose ≥7.0 mmol/L (≥126 mg/dL) or report of taking diabetes medications | — | [ ,
46.6 % Male samples |
— | European | — | FOS | — |
| PSS011474 | — | — | 8,837 individuals | — | South Asian | — | G&H | — |
| PSS009326 | — | — | 19,594 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009327 | — | — | 18,600 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS000054 | Prevalent T2D status was defined using self-reported medical history and medication | — | [
|
— | European | — | UKB | — |
| PSS009328 | — | — | 20,000 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009330 | — | — | 16,188 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009331 | — | — | 16,106 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009333 | — | — | 17,355 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009334 | — | — | 19,196 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009335 | — | — | 19,586 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009336 | — | — | 19,908 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009337 | — | — | 19,288 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS011507 | — | — | 7,879 individuals | — | European | — | AllofUs | — |
| PSS011513 | Manual curation of electronic medical records. Cases had no ICD code for diabetes, received a glucocorticoid dose equivalent to >= 10 mg of prednisone, and had random blood glucose >= 200 mg/dL or fasting blood glucose >= 126 mg/dL (drawn between 4:00 AM and 6:59 AM) | — | [
|
— | Asian unspecified | — | MGBB | — |
| PSS011513 | Manual curation of electronic medical records. Cases had no ICD code for diabetes, received a glucocorticoid dose equivalent to >= 10 mg of prednisone, and had random blood glucose >= 200 mg/dL or fasting blood glucose >= 126 mg/dL (drawn between 4:00 AM and 6:59 AM) | — | [
|
— | African American or Afro-Caribbean | — | MGBB | — |
| PSS011513 | Manual curation of electronic medical records. Cases had no ICD code for diabetes, received a glucocorticoid dose equivalent to >= 10 mg of prednisone, and had random blood glucose >= 200 mg/dL or fasting blood glucose >= 126 mg/dL (drawn between 4:00 AM and 6:59 AM) | — | [
|
— | European | — | MGBB | — |
| PSS011513 | Manual curation of electronic medical records. Cases had no ICD code for diabetes, received a glucocorticoid dose equivalent to >= 10 mg of prednisone, and had random blood glucose >= 200 mg/dL or fasting blood glucose >= 126 mg/dL (drawn between 4:00 AM and 6:59 AM) | — | [
|
— | Not reported | — | MGBB | — |
| PSS011514 | — | — | [
|
— | African American or Afro-Caribbean | — | AllofUs | — |
| PSS011515 | — | — | [
|
— | African American or Afro-Caribbean | — | AllofUs | — |
| PSS011515 | — | — | [
|
— | Hispanic or Latin American | — | AllofUs | — |
| PSS000059 | — | — | [
|
— | European (Finnish) |
— | FINRISK, Health2000 | — |
| PSS000060 | — | — | [
|
— | European (British) |
— | NR | Immunochip |
| PSS000061 | — | — | [
|
— | European (Italian) |
— | NR | — |
| PSS000062 | — | — | [
|
— | European (Dutch) |
— | NR | — |
| PSS000063 | — | — | [
|
— | European (British) |
— | NR | — |
| PSS011516 | — | — | [
|
— | Hispanic or Latin American | — | AllofUs | — |
| PSS011517 | — | — | [
|
— | East Asian | — | AllofUs | — |
| PSS000064 | — | — | [
|
— | European | — | NIDDK | — |
| PSS000065 | The HLA-DQ2.5-positive subset of NIDDK-CIDR | — | [
|
— | European | — | NIDDK | HLA alleles were imputed using SNP2HLA |
| PSS011518 | — | — | [
|
— | European | — | AllofUs | — |
| PSS011519 | — | — | [
|
— | South Asian | — | AllofUs | — |
| PSS011515 | — | — | [
|
— | South Asian | — | AllofUs | — |
| PSS009390 | — | — | 7,142 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS000534 | PheCode:145.2; ICD9CM:141.0, 141.1, 141.2, 141.3, 141.4, 141.5, 141.6, 141.8, 141.9, V10.01; ICD10CM:C01, C02, C02.0, C02.1, C02.2, C02.3, C02.4, C02.8, C02.9 | — | [
|
— | European | — | MGI | — |
| PSS000535 | PheCode:145; ICD9CM:140.0, 140.1, 140.3, 140.4, 140.5, 140.6, 140.8, 140.9, 141.0, 141.1, 141.2, 141.3, 141.4, 141.5, 141.6, 141.8, 141.9, 142.0, 142.1, 142.2, 142.8, 142.9, 143.0, 143.1, 143.8, 143.9, 144.0, 144.1, 144.8, 144.9, 145.0, 145.1, 145.2, 145.3, 145.4, 145.5, 145.6, 145.8, 145.9, 230.0, V10.01; ICD10CM:C00, C00.0, C00.1, C00.2, C00.3, C00.4, C00.5, C00.6, C00.8, C00.9, C01, C02, C02.0, C02.1, C02.2, C02.3, C02.4, C02.8, C02.9, C03, C03.0, C03.1, C03.9, C04, C04.0, C04.1, C04.8, C04.9, C05, C05.0, C05.1, C05.2, C05.8, C05.9, C06, C06.0, C06.1, C06.2, C06.8, C06.80, C06.89, C06.9, C07, C08, C08.0, C08.1, C08.9, D00.0, D00.00, D00.01, D00.02, D00.03, D00.04, D00.05, D00.06, D00.07, D00.08 | — | [
|
— | European | — | MGI | — |
| PSS000537 | PheCode:150; ICD9CM:150.0, 150.1, 150.2, 150.3, 150.4, 150.5, 150.8, 150.9, 230.1, V10.03; ICD10CM:C15, C15.3, C15.4, C15.5, C15.8, C15.9, D00.1 | — | [
|
— | European | — | MGI | — |
| PSS000538 | PheCode:153.2; ICD9CM:153.0, 153.1, 153.2, 153.3, 153.4, 153.5, 153.6, 153.7, 153.8, 153.9, 159.0, 209.10, 209.11, 209.12, 209.13, 209.14, 209.15, 209.16, 230.3, V10.05; ICD10CM:C18, C18.0, C18.1, C18.2, C18.3, C18.4, C18.5, C18.6, C18.7, C18.8, C18.9, C26.0, C7A.020, C7A.021, C7A.022, C7A.023, C7A.024, C7A.025, C7A.029, D01.0 | — | [
|
— | European | — | MGI | — |
| PSS000539 | PheCode:153.3; ICD9CM:154.0, 154.1, 154.2, 154.3, 209.17, 230.4, 230.5, 230.6, 796.70, 796.71, 796.72, 796.73, 796.74, 796.76, V10.06; ICD10CM:C19, C20, C21.0, C21.1, C7A.026, D01.1, D01.2, D01.3, R85.610, R85.611, R85.612, R85.613, R85.614, R85.619 | — | [
|
— | European | — | MGI | — |
| PSS000540 | PheCode:153; ICD9CM:153.0, 153.1, 153.2, 153.3, 153.4, 153.5, 153.6, 153.7, 153.8, 153.9, 154.0, 154.1, 154.2, 154.3, 154.8, 159.0, 209.10, 209.11, 209.12, 209.13, 209.14, 209.15, 209.16, 209.17, 230.3, 230.4, 230.5, 230.6, 796.70, 796.71, 796.72, 796.73, 796.74, 796.76, V10.05, V10.06; ICD10CM:C18, C18.0, C18.1, C18.2, C18.3, C18.4, C18.5, C18.6, C18.7, C18.8, C18.9, C19, C20, C21.0, C21.1, C21.2, C21.8, C26.0, C7A.020, C7A.021, C7A.022, C7A.023, C7A.024, C7A.025, C7A.026, C7A.029, D01.0, D01.1, D01.2, D01.3, R85.610, R85.611, R85.612, R85.613, R85.614, R85.619 | — | [
|
— | European | — | MGI | — |
| PSS000564 | PheCode:153; ICD9:154.8; ICD10:C18.0, C18.1, C18.2, C18.3, C18.4, C18.5, C18.6, C18.7, C18.8, C18.9, C19, C20, C21.0, C21.1, C21.8, C26.0, D01.0, D01.1, D01.2, D01.3 | — | [
|
— | European | — | UKB | — |
| PSS000565 | PheCode:157; ICD9:157, 157.0, 157.1, 157.2, 157.3, 157.4, 157.8, 157.9; ICD10:C25.0, C25.1, C25.2, C25.3, C25.4, C25.7, C25.8, C25.9 | — | [
|
— | European | — | UKB | — |
| PSS000083 | Cases were clinically diagnosed with T1D before 17 years of age and treated with insulin from diagnosis. Patients with known MODY or NDM were excluded. | — | [
|
— | European | — | WTCCC | Cases with Type 1 Diabetes |
| PSS000083 | MODY patients with a confirmed monogenic etiology on genetic testing (415 patients with HNF1A MODY, 346 with GCK MODY, 42 with HNF4A MODY, and 2 with HNF1B MODY). The median age of diagnosis was 20 years (interquartile range 15, 30), and 532 patients were female. | — | [ ,
33.91 % Male samples |
— | European | — | NR | Maturity-onset diabetes of young (MODY) cases ascertained from the Genetic Βeta Cell Research Bank, Exeter, U.K. |
| PSS000086 | — | — | [
|
— | East Asian | — | 8 cohorts
|
— |
| PSS000087 | — | — | [
|
— | European | — | 8 cohorts
|
— |
| PSS011531 | Cases were individuals with T1D | — | [ ,
53.51 % Male samples |
— | European | — | NR | — |
| PSS011532 | Cases were individuals with T1D | — | [ ,
53.79 % Male samples |
— | European | — | NR | — |
| PSS000583 | Case inclusion ICD codes: ICD9=571.5, ICD9=571.8, ICD9=571.9, ICD10=K75.81, ICD10=K76.0, ICD10=K76.9 | — | [ ,
42.6 % Male samples |
— | European | — | eMERGE | — |
| PSS000584 | Controls are cases with Nonalcoholic fatty liver disease activity score <5 and cases are those with a score >5. Case inclusion ICD codes: ICD9=571.5, ICD9=571.8, ICD9=571.9, ICD10=K75.81, ICD10=K76.0, ICD10=K76.9 | — | [
|
— | European | — | eMERGE | — |
| PSS011537 | — | Median = 8.9 years IQR = [8.3, 9.5] years |
[ ,
44.6 % Male samples |
Mean = 56.1 years Sd = 8.0 years |
European (White British) |
— | UKB | — |
| PSS000597 | In this study, cases were incident patients with primary pancreatic adenocarcinoma ascertained between 1984 and 2010 through self- report, report of next-of-kin, or death certificates and confirmed by medical record review and tumor registry data. Cases Diagnosed within 10 years of blood collection. | Mean = 10.0 years | [ ,
28.1 % Male samples |
— | European | — | HPFS, NHS, PHS, WHI | Overlap with GWAS samples (percentage unknown). Cross validation approach used (20% as testing sample) |
| PSS000598 | In this study, cases were incident patients with primary pancreatic adenocarcinoma ascertained between 1984 and 2010 through self- report, report of next-of-kin, or death certificates and confirmed by medical record review and tumor registry data. | — | [ ,
33.4 % Male samples |
— | European | — | HPFS, NHS, PHS, WHI | Overlap with GWAS samples (percentage unknown). Cross validation approach used (20% as testing sample) |
| PSS010983 | — | Mean = 21.28 years | [
|
— | Native American | — | NR | — |
| PSS009932 | MetS is defined as having any three or more of five MetS components, including central obesity, hypertension, dyslipidemia, hypertriglyceridemia, and hyperglyce- mia, according to the National Cholesterol Education Programme Adult Treatment Panel III criteria (NCEP- ATP III) | — | [
|
— | European | — | UKB | — |
| PSS010984 | — | Mean = 7.99 years | [
|
Mean = 12.05 years Sd = 3.73 years |
Native American | — | NR | — |
| PSS009514 | — | — | [
|
— | East Asian (Japanese) |
— | BBJ | — |
| PSS009518 | — | — | [
|
— | European (Estonian) |
— | EB | — |
| PSS003606 | — | — | [
|
Mean = 56.81 years | European | — | UKB | — |
| PSS009522 | — | — | [
|
— | European (Finnish) |
— | FinnGen | — |
| PSS009526 | — | — | [
|
— | European | Norwegian | HUNT | — |
| PSS009530 | — | — | [
|
— | African American or Afro-Caribbean | — | MGBB | — |
| PSS009534 | — | — | [
|
— | European | — | MGBB | — |
| PSS009538 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS009542 | — | — | [
|
— | European | British | UKB | — |
| PSS009546 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS007664 | Cases were individuals with (incident) invasive colorectal cancer diagnosed after a baseline assessment. Colorectal cancer was identified using linkedc cancer registry data using ICD-9 (1530–1539, 1540–1541), ICD-10 (C18–C20) codes or self-reported disease). | — | [ ,
45.85 % Male samples |
— | European | — | UKB | — |
| PSS007667 | — | — | [ ,
72.3 % Male samples |
— | European | — | GenomALC | — |
| PSS007668 | — | — | [ ,
62.06 % Male samples |
— | European | — | GenomALC | — |
| PSS007669 | — | — | [ ,
77.02 % Male samples |
— | European | — | UKB | — |
| PSS011671 | Inclusion: MGH encounter AND ICD-9 code for diabetes AND Problem list term for diabetes OR HbA1C >6.5 in prior 3 years Exclusion: Problem list term not associated with diabetes; Inclusion problem list terms: DM, Diabetes Mellitus, Diabetic Nephropathy, Diabetic Neuropathy, Diabetic Retinopathy, Diabetic foot care, Diabetic foot infection, Diabetes Mellitus without complication, Insulin dependent diabetes mellitus, Insulin dependent diabetes without complications, Type 1, Diabetes mellitus I, DM type I, Juvenile, DM type i, Type I DM, Diabetes Mellitus type 1, Juvenile onset diabetes mellitus, Type 1 diabetes mellitus uncontrolled, Type 1 diabetes mellitus well controlled, DM1, Adult onset, AODM, Type 2, DM type ii, Diabetes mellitus ii, DMii, Type 2 DM, Type ii DM, Diabetes mellitus type 2, noninsulin dependent diabetes mellitus, Type 2 diabetes mellitus uncontrolled, Type 2 diabetes mellitus well controlled, Diabetes adult-adult onset, NIDDM.; Inclusion ICD-9 codes: 250.21, 250.23, 250.11, 250.13, 250.61, 250.63, 250.51, 250.53, 250.31, 250.33, 250.81, 250.83, 250.71, 250.73, 250.41, 250.43, 250.91, 250.93, 250.01, 250.03, 250.20, 250.22, 250.10, 250.12, 250.60, 250.62, 250.50, 250.52, 250.30, 250.32, 250.80, 250.82, 250.70, 250.72, 250.40, 250.42, 250.90, 250.92, 250.00, 250.02; Exclusion problem list terms: negative, neg, r/o, risk, rule out, no, consider diabetes, borderline, gestational, maternal, pregnancy, glucose impai, impaired glucose, insipidus, pre diabetes, prediab, family history, PCOS, Polycystic Ovary Syndrome | Median = 13.9 years | 12,508 individuals, 45.86 % Male samples |
Mean = 48.9 years | European | — | MGBB | — |
| PSS011671 | Inclusion: MGH encounter AND ICD-9 code for diabetes AND Problem list term for diabetes OR HbA1C >6.5 in prior 3 years Exclusion: Problem list term not associated with diabetes; Inclusion problem list terms: DM, Diabetes Mellitus, Diabetic Nephropathy, Diabetic Neuropathy, Diabetic Retinopathy, Diabetic foot care, Diabetic foot infection, Diabetes Mellitus without complication, Insulin dependent diabetes mellitus, Insulin dependent diabetes without complications, Type 1, Diabetes mellitus I, DM type I, Juvenile, DM type i, Type I DM, Diabetes Mellitus type 1, Juvenile onset diabetes mellitus, Type 1 diabetes mellitus uncontrolled, Type 1 diabetes mellitus well controlled, DM1, Adult onset, AODM, Type 2, DM type ii, Diabetes mellitus ii, DMii, Type 2 DM, Type ii DM, Diabetes mellitus type 2, noninsulin dependent diabetes mellitus, Type 2 diabetes mellitus uncontrolled, Type 2 diabetes mellitus well controlled, Diabetes adult-adult onset, NIDDM.; Inclusion ICD-9 codes: 250.21, 250.23, 250.11, 250.13, 250.61, 250.63, 250.51, 250.53, 250.31, 250.33, 250.81, 250.83, 250.71, 250.73, 250.41, 250.43, 250.91, 250.93, 250.01, 250.03, 250.20, 250.22, 250.10, 250.12, 250.60, 250.62, 250.50, 250.52, 250.30, 250.32, 250.80, 250.82, 250.70, 250.72, 250.40, 250.42, 250.90, 250.92, 250.00, 250.02; Exclusion problem list terms: negative, neg, r/o, risk, rule out, no, consider diabetes, borderline, gestational, maternal, pregnancy, glucose impai, impaired glucose, insipidus, pre diabetes, prediab, family history, PCOS, Polycystic Ovary Syndrome | Median = 13.9 years | 1,003 individuals, 45.86 % Male samples |
Mean = 48.9 years | Hispanic or Latin American | — | MGBB | — |
| PSS011671 | Inclusion: MGH encounter AND ICD-9 code for diabetes AND Problem list term for diabetes OR HbA1C >6.5 in prior 3 years Exclusion: Problem list term not associated with diabetes; Inclusion problem list terms: DM, Diabetes Mellitus, Diabetic Nephropathy, Diabetic Neuropathy, Diabetic Retinopathy, Diabetic foot care, Diabetic foot infection, Diabetes Mellitus without complication, Insulin dependent diabetes mellitus, Insulin dependent diabetes without complications, Type 1, Diabetes mellitus I, DM type I, Juvenile, DM type i, Type I DM, Diabetes Mellitus type 1, Juvenile onset diabetes mellitus, Type 1 diabetes mellitus uncontrolled, Type 1 diabetes mellitus well controlled, DM1, Adult onset, AODM, Type 2, DM type ii, Diabetes mellitus ii, DMii, Type 2 DM, Type ii DM, Diabetes mellitus type 2, noninsulin dependent diabetes mellitus, Type 2 diabetes mellitus uncontrolled, Type 2 diabetes mellitus well controlled, Diabetes adult-adult onset, NIDDM.; Inclusion ICD-9 codes: 250.21, 250.23, 250.11, 250.13, 250.61, 250.63, 250.51, 250.53, 250.31, 250.33, 250.81, 250.83, 250.71, 250.73, 250.41, 250.43, 250.91, 250.93, 250.01, 250.03, 250.20, 250.22, 250.10, 250.12, 250.60, 250.62, 250.50, 250.52, 250.30, 250.32, 250.80, 250.82, 250.70, 250.72, 250.40, 250.42, 250.90, 250.92, 250.00, 250.02; Exclusion problem list terms: negative, neg, r/o, risk, rule out, no, consider diabetes, borderline, gestational, maternal, pregnancy, glucose impai, impaired glucose, insipidus, pre diabetes, prediab, family history, PCOS, Polycystic Ovary Syndrome | Median = 13.9 years | 520 individuals, 45.86 % Male samples |
Mean = 48.9 years | African unspecified | — | MGBB | — |
| PSS011671 | Inclusion: MGH encounter AND ICD-9 code for diabetes AND Problem list term for diabetes OR HbA1C >6.5 in prior 3 years Exclusion: Problem list term not associated with diabetes; Inclusion problem list terms: DM, Diabetes Mellitus, Diabetic Nephropathy, Diabetic Neuropathy, Diabetic Retinopathy, Diabetic foot care, Diabetic foot infection, Diabetes Mellitus without complication, Insulin dependent diabetes mellitus, Insulin dependent diabetes without complications, Type 1, Diabetes mellitus I, DM type I, Juvenile, DM type i, Type I DM, Diabetes Mellitus type 1, Juvenile onset diabetes mellitus, Type 1 diabetes mellitus uncontrolled, Type 1 diabetes mellitus well controlled, DM1, Adult onset, AODM, Type 2, DM type ii, Diabetes mellitus ii, DMii, Type 2 DM, Type ii DM, Diabetes mellitus type 2, noninsulin dependent diabetes mellitus, Type 2 diabetes mellitus uncontrolled, Type 2 diabetes mellitus well controlled, Diabetes adult-adult onset, NIDDM.; Inclusion ICD-9 codes: 250.21, 250.23, 250.11, 250.13, 250.61, 250.63, 250.51, 250.53, 250.31, 250.33, 250.81, 250.83, 250.71, 250.73, 250.41, 250.43, 250.91, 250.93, 250.01, 250.03, 250.20, 250.22, 250.10, 250.12, 250.60, 250.62, 250.50, 250.52, 250.30, 250.32, 250.80, 250.82, 250.70, 250.72, 250.40, 250.42, 250.90, 250.92, 250.00, 250.02; Exclusion problem list terms: negative, neg, r/o, risk, rule out, no, consider diabetes, borderline, gestational, maternal, pregnancy, glucose impai, impaired glucose, insipidus, pre diabetes, prediab, family history, PCOS, Polycystic Ovary Syndrome | Median = 13.9 years | 240 individuals, 45.86 % Male samples |
Mean = 48.9 years | East Asian | — | MGBB | — |
| PSS011671 | Inclusion: MGH encounter AND ICD-9 code for diabetes AND Problem list term for diabetes OR HbA1C >6.5 in prior 3 years Exclusion: Problem list term not associated with diabetes; Inclusion problem list terms: DM, Diabetes Mellitus, Diabetic Nephropathy, Diabetic Neuropathy, Diabetic Retinopathy, Diabetic foot care, Diabetic foot infection, Diabetes Mellitus without complication, Insulin dependent diabetes mellitus, Insulin dependent diabetes without complications, Type 1, Diabetes mellitus I, DM type I, Juvenile, DM type i, Type I DM, Diabetes Mellitus type 1, Juvenile onset diabetes mellitus, Type 1 diabetes mellitus uncontrolled, Type 1 diabetes mellitus well controlled, DM1, Adult onset, AODM, Type 2, DM type ii, Diabetes mellitus ii, DMii, Type 2 DM, Type ii DM, Diabetes mellitus type 2, noninsulin dependent diabetes mellitus, Type 2 diabetes mellitus uncontrolled, Type 2 diabetes mellitus well controlled, Diabetes adult-adult onset, NIDDM.; Inclusion ICD-9 codes: 250.21, 250.23, 250.11, 250.13, 250.61, 250.63, 250.51, 250.53, 250.31, 250.33, 250.81, 250.83, 250.71, 250.73, 250.41, 250.43, 250.91, 250.93, 250.01, 250.03, 250.20, 250.22, 250.10, 250.12, 250.60, 250.62, 250.50, 250.52, 250.30, 250.32, 250.80, 250.82, 250.70, 250.72, 250.40, 250.42, 250.90, 250.92, 250.00, 250.02; Exclusion problem list terms: negative, neg, r/o, risk, rule out, no, consider diabetes, borderline, gestational, maternal, pregnancy, glucose impai, impaired glucose, insipidus, pre diabetes, prediab, family history, PCOS, Polycystic Ovary Syndrome | Median = 13.9 years | 117 individuals, 45.86 % Male samples |
Mean = 48.9 years | South Asian | — | MGBB | — |
| PSS011671 | Inclusion: MGH encounter AND ICD-9 code for diabetes AND Problem list term for diabetes OR HbA1C >6.5 in prior 3 years Exclusion: Problem list term not associated with diabetes; Inclusion problem list terms: DM, Diabetes Mellitus, Diabetic Nephropathy, Diabetic Neuropathy, Diabetic Retinopathy, Diabetic foot care, Diabetic foot infection, Diabetes Mellitus without complication, Insulin dependent diabetes mellitus, Insulin dependent diabetes without complications, Type 1, Diabetes mellitus I, DM type I, Juvenile, DM type i, Type I DM, Diabetes Mellitus type 1, Juvenile onset diabetes mellitus, Type 1 diabetes mellitus uncontrolled, Type 1 diabetes mellitus well controlled, DM1, Adult onset, AODM, Type 2, DM type ii, Diabetes mellitus ii, DMii, Type 2 DM, Type ii DM, Diabetes mellitus type 2, noninsulin dependent diabetes mellitus, Type 2 diabetes mellitus uncontrolled, Type 2 diabetes mellitus well controlled, Diabetes adult-adult onset, NIDDM.; Inclusion ICD-9 codes: 250.21, 250.23, 250.11, 250.13, 250.61, 250.63, 250.51, 250.53, 250.31, 250.33, 250.81, 250.83, 250.71, 250.73, 250.41, 250.43, 250.91, 250.93, 250.01, 250.03, 250.20, 250.22, 250.10, 250.12, 250.60, 250.62, 250.50, 250.52, 250.30, 250.32, 250.80, 250.82, 250.70, 250.72, 250.40, 250.42, 250.90, 250.92, 250.00, 250.02; Exclusion problem list terms: negative, neg, r/o, risk, rule out, no, consider diabetes, borderline, gestational, maternal, pregnancy, glucose impai, impaired glucose, insipidus, pre diabetes, prediab, family history, PCOS, Polycystic Ovary Syndrome | Median = 13.9 years | 125 individuals, 45.86 % Male samples |
Mean = 48.9 years | Greater Middle Eastern (Middle Eastern, North African or Persian) | — | MGBB | — |
| PSS011671 | Inclusion: MGH encounter AND ICD-9 code for diabetes AND Problem list term for diabetes OR HbA1C >6.5 in prior 3 years Exclusion: Problem list term not associated with diabetes; Inclusion problem list terms: DM, Diabetes Mellitus, Diabetic Nephropathy, Diabetic Neuropathy, Diabetic Retinopathy, Diabetic foot care, Diabetic foot infection, Diabetes Mellitus without complication, Insulin dependent diabetes mellitus, Insulin dependent diabetes without complications, Type 1, Diabetes mellitus I, DM type I, Juvenile, DM type i, Type I DM, Diabetes Mellitus type 1, Juvenile onset diabetes mellitus, Type 1 diabetes mellitus uncontrolled, Type 1 diabetes mellitus well controlled, DM1, Adult onset, AODM, Type 2, DM type ii, Diabetes mellitus ii, DMii, Type 2 DM, Type ii DM, Diabetes mellitus type 2, noninsulin dependent diabetes mellitus, Type 2 diabetes mellitus uncontrolled, Type 2 diabetes mellitus well controlled, Diabetes adult-adult onset, NIDDM.; Inclusion ICD-9 codes: 250.21, 250.23, 250.11, 250.13, 250.61, 250.63, 250.51, 250.53, 250.31, 250.33, 250.81, 250.83, 250.71, 250.73, 250.41, 250.43, 250.91, 250.93, 250.01, 250.03, 250.20, 250.22, 250.10, 250.12, 250.60, 250.62, 250.50, 250.52, 250.30, 250.32, 250.80, 250.82, 250.70, 250.72, 250.40, 250.42, 250.90, 250.92, 250.00, 250.02; Exclusion problem list terms: negative, neg, r/o, risk, rule out, no, consider diabetes, borderline, gestational, maternal, pregnancy, glucose impai, impaired glucose, insipidus, pre diabetes, prediab, family history, PCOS, Polycystic Ovary Syndrome | Median = 13.9 years | 199 individuals, 45.86 % Male samples |
Mean = 48.9 years | Not reported | — | MGBB | — |
| PSS009566 | — | — | [
|
Maximum = 50.0 years | European | — | 9 cohorts
|
CRCGEN, Kentucky, LCCS |
| PSS011674 | — | — | [
|
— | European (Finnish) |
— | Health2000 | — |
| PSS007684 | Type 2 diabetes was defined by a strict type 2 diabetes definition, that excluded type 1 diabetes, ICD 8/9/10 codes are listed in Supplementary Data 1. National registeries were used to assess disease incidence. Follow-up ended at first-ever diagnosis of the disease of interest, death or at the end of follow-up on December 31, 2019, whichever came first. | Median = 13.0 years IQR = [7.5, 19.7] years |
[ ,
43.8 % Male samples |
Mean (Age At Baseline) = 53.2 years Sd = 17.4 years |
European (Finnish) |
— | FinnGen | — |
| PSS007685 | Type 2 diabetes was defined by a strict type 2 diabetes definition, that excluded type 1 diabetes, ICD 8/9/10 codes are listed in Supplementary Data 1. National registeries were used to assess disease incidence. Follow-up ended at first-ever diagnosis of the disease of interest, death or at the end of follow-up on December 31, 2019, whichever came first. | — | [ ,
42.9 % Male samples |
Mean (Age At Baseline) = 51.8 years Sd = 17.4 years |
European (Finnish) |
— | FinnGen | — |
| PSS007686 | Type 2 diabetes was defined by a strict type 2 diabetes definition, that excluded type 1 diabetes, ICD 8/9/10 codes are listed in Supplementary Data 1. National registeries were used to assess disease incidence. Follow-up ended at first-ever diagnosis of the disease of interest, death or at the end of follow-up on December 31, 2019, whichever came first. | — | [ ,
43.8 % Male samples |
Mean (Age At Baseline) = 53.2 years Sd = 17.4 years |
European (Finnish) |
— | FinnGen | — |
| PSS009573 | — | — | [ ,
0.0 % Male samples |
— | East Asian (Chinese) |
— | NR | — |
| PSS007690 | Type 2 diabetes was defined by a strict type 2 diabetes definition, that excluded type 1 diabetes, ICD 9/10 codes are listed in Supplementary Data 1. National registeries were used to assess disease incidence. Follow-up ended at first-ever diagnosis of the disease of interest, death or at the censoring date of hospital inpatient data (UK Biobank; English hospital inpatient records up to May 2020, Scottish up to November 2016, Welsh up to March 2016), whichever came first. | Median = 10.4 years IQR = [8.3, 11.3] years |
[ ,
46.3 % Male samples |
Mean (Age At Baseline) = 57.4 years Sd = 8.0 years |
European (British) |
UK Biobank participants with non-British ancestry were excluded based on genetically inferred ancestry. | UKB | — |
| PSS007691 | Type 2 diabetes was defined by a strict type 2 diabetes definition, that excluded type 1 diabetes, ICD 9/10 codes are listed in Supplementary Data 1. National registeries were used to assess disease incidence. Follow-up ended at first-ever diagnosis of the disease of interest, death or at the censoring date of hospital inpatient data (UK Biobank; English hospital inpatient records up to May 2020, Scottish up to November 2016, Welsh up to March 2016), whichever came first. | — | [ ,
45.5 % Male samples |
Mean (Age At Baseline) = 57.2 years Sd = 8.0 years |
European (British) |
UK Biobank participants with non-British ancestry were excluded based on genetically inferred ancestry. | UKB | — |
| PSS007692 | Type 2 diabetes was defined by a strict type 2 diabetes definition, that excluded type 1 diabetes, ICD 9/10 codes are listed in Supplementary Data 1. National registeries were used to assess disease incidence. Follow-up ended at first-ever diagnosis of the disease of interest, death or at the censoring date of hospital inpatient data (UK Biobank; English hospital inpatient records up to May 2020, Scottish up to November 2016, Welsh up to March 2016), whichever came first. | — | [ ,
46.3 % Male samples |
Mean (Age At Baseline) = 57.4 years Sd = 8.0 years |
European (British) |
UK Biobank participants with non-British ancestry were excluded based on genetically inferred ancestry. | UKB | — |
| PSS000113 | Cancer diagnoses were obtained from reigstry data in GERA, and ICD-9/10 codes mapped to ICD-O-3 codes in UK Biobank. Cancers for this phenotype were classified using the following SEER site recode(s): 21041 - 21049, 21051, 21052, and 21060 | — | [ ,
46.0 % Male samples |
Mean = 58.0 years | European | — | GERA, UKB | — |
| PSS000120 | Cancer diagnoses were obtained from reigstry data in GERA, and ICD-9/10 codes mapped to ICD-O-3 codes in UK Biobank. Cancers for this phenotype were classified using the following SEER site recode(s): 20010, 20020, 20030, 20040, 20050, 20060, 20070, 20080, 20090, and 20100 | — | [ ,
46.0 % Male samples |
Mean = 58.0 years | European | — | GERA, UKB | — |
| PSS000122 | Cancer diagnoses were obtained from reigstry data in GERA, and ICD-9/10 codes mapped to ICD-O-3 codes in UK Biobank. Cancers for this phenotype were classified using the following SEER site recode(s): 21100 | — | [ ,
46.0 % Male samples |
Mean = 58.0 years | European | — | GERA, UKB | — |
| PSS003667 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS003668 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS003669 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS003670 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS009588 | — | — | [
|
— | European | — | BV | — |
| PSS009593 | — | — | [
|
— | Not reported | — | TCGA | — |
| PSS009595 | PDAC cases were considered incident if diagnosed after study entry or without a date of diagnosis if identified by mortality alone. | Median = 109.0 months | [ ,
52.0 % Male samples |
Mean = 61.3 years | Not reported | European, African American or Afro-Caribbean, South Asian, East Asian, African unspecified | UKB | — |
| PSS009596 | PDAC cases were considered incident if diagnosed after study entry or without a date of diagnosis if identified by mortality alone. | — | [
|
— | Not reported | European, African American or Afro-Caribbean, South Asian, East Asian, African unspecified | UKB | — |
| PSS009597 | PDAC cases were considered incident if diagnosed after study entry or without a date of diagnosis if identified by mortality alone. | — | [
|
Not reported | European, African American or Afro-Caribbean, South Asian, East Asian, African unspecified | UKB | — | |
| PSS009598 | PDAC cases were considered incident if diagnosed after study entry or without a date of diagnosis if identified by mortality alone. | — | [
|
— | Not reported | European, African American or Afro-Caribbean, South Asian, East Asian, African unspecified | UKB | — |
| PSS009599 | PDAC cases were considered incident if diagnosed after study entry or without a date of diagnosis if identified by mortality alone. | — | [
|
Not reported | European, African American or Afro-Caribbean, South Asian, East Asian, African unspecified | UKB | — | |
| PSS007708 | — | — | [
|
— | European | — | UKB | — |
| PSS009600 | PDAC cases were considered incident if diagnosed after study entry or without a date of diagnosis if identified by mortality alone. LSDM is defined in cases as type 2 diabetes diagnosed more than 24 months before PDAC diagnosis. Defined in controls as type 2 diabetes diagnosed more than 24 months before date of death or date of last follow up. | — | [
|
— | Not reported | European, African American or Afro-Caribbean, South Asian, East Asian, African unspecified | UKB | — |
| PSS009601 | PDAC cases were considered incident if diagnosed after study entry or without a date of diagnosis if identified by mortality alone. NODM is defined in cases as type 2 diabetes diagnosed within 24 months before or after diagnosis of PDAC. Defined in controls as type 2 diabetes diagnosed 24 months before death or last follow up. | — | [
|
— | Not reported | European, African American or Afro-Caribbean, South Asian, East Asian, African unspecified | UKB | — |
| PSS000754 | — | — | 87,413 individuals | — | European | — | UKB | — |
| PSS000755 | — | — | 87,413 individuals | — | European | — | UKB | — |
| PSS000756 | ICD-10 E11.0 - E11.9 | — | [
|
— | European (Finnish) |
— | FinnGen | — |
| PSS007724 | — | — | 2,362 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS007731 | — | — | 2,469 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS007732 | — | — | 2,441 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS000792 | — | — | 87,413 individuals | — | European | — | UKB | — |
| PSS000793 | ICD-10 K70 | — | [
|
— | European (Finnish) |
— | FinnGen | — |
| PSS007737 | — | — | 2,200 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS007738 | — | — | 2,476 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS000811 | — | — | 87,413 individuals | — | European | — | UKB | — |
| PSS000812 | — | — | [
|
— | European (Finnish) |
— | FinnGen | — |
| PSS009629 | — | — | 5,806 individuals | — | South Asian (Indian) |
— | INSPIRED | Dr. Mohan’s Diabetes Specialities Centre (INSPIRED - DMDSC) |
| PSS007773 | — | — | 2,440 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS007774 | — | — | 2,298 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS007775 | — | — | 2,484 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS007777 | — | — | 2,105 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS007778 | — | — | 2,091 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS007780 | — | — | 2,227 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS007781 | — | — | 2,363 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS007782 | — | — | 2,429 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS007783 | — | — | 2,477 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS007784 | — | — | 2,432 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS009638 | — | — | 25,716 individuals, 41.5 % Male samples |
Mean = 56.0 years Sd = 7.7 years |
European | — | UKB | — |
| PSS009645 | — | — | [
|
— | Not reported | — | DACHS | — |
| PSS000855 | Data and diagnoses on site-specific incident cancers were provided by the National Health Service Information Centre for participants from England and Wales (follow-up through March 31, 2016) and by the NHS Central Register Scotland for participants from Scotland (follow-up through October 31, 2015). Cancers were coded by the International Classification of Diseases, Ninth Revision (ICD-9) or the International Classification of Diseases, Tenth Revision (ICD-10). Colorectal Cancer=(ICD-9 = 153, 154.1 or ICD-10 = C18, C20) | Median = 5.8 years | [ ,
46.5 % Male samples |
— | European | — | UKB | — |
| PSS000232 | Individuals with T2D were defined as those with fasting time >8 h and fasting glucose levels ≥126 mg/dL, fasting ≤8 h and fasting glucose ≥200 mg/dL, post–oral glucose tolerance test glucose ≥200 mg/dL, HbA1c ≥6.5% (48 mmol/mol), or on current treatment with antihyperglycemia medications. | — | [ ,
39.65 % Male samples |
— | Hispanic or Latin American (Central American, Cuban, Dominican, Mexican, Puerto Rican, South American) |
Ancestry groups were defined based on a combination of self-identified Hispanic/Latino background and genetic similarity | HCHS, SOL | — |
| PSS000859 | Data and diagnoses on site-specific incident cancers were provided by the National Health Service Information Centre for participants from England and Wales (follow-up through March 31, 2016) and by the NHS Central Register Scotland for participants from Scotland (follow-up through October 31, 2015). Cancers were coded by the International Classification of Diseases, Ninth Revision (ICD-9) or the International Classification of Diseases, Tenth Revision (ICD-10). Pancreatic Cancer=(ICD-9 = 157 or ICD-10 = C25) | Median = 5.8 years | [ ,
46.5 % Male samples |
— | European | — | UKB | — |
| PSS000861 | Cases included individuals with cirrhosis, biopsy confirmed cirrhosis and/or cirrhosis ascertained through ICD codes:Hospitalization or death due to physician diagnosed cirrhosis: K70.2 (alcoholic fibrosis and sclerosis of the liver), K70.3 (alcoholic cirrhosis), K70.4 (alcoholic hepatic failure), K74.0 (hepatic fibrosis), K74.1 (hepatic sclerosis), K74.2 (hepatic fibrosis with hepatic sclerosis), K74.6 (other and unspecific cirrhosis of liver), K76.6 (portal hypertension), or I85 (esophageal varices). | — | [
|
— | European | — | PHB | — |
| PSS000862 | Cases included individuals with cirrhosis, biopsy confirmed cirrhosis and/or cirrhosis ascertained through ICD codes:Hospitalization or death due to physician diagnosed cirrhosis: K70.2 (alcoholic fibrosis and sclerosis of the liver), K70.3 (alcoholic cirrhosis), K70.4 (alcoholic hepatic failure), K74.0 (hepatic fibrosis), K74.1 (hepatic sclerosis), K74.2 (hepatic fibrosis with hepatic sclerosis), K74.6 (other and unspecific cirrhosis of liver), K76.6 (portal hypertension), or I85 (esophageal varices). | — | [
|
— | NR | — | PHB | — |
| PSS000863 | Cases included individuals with cirrhosis, biopsy confirmed cirrhosis and/or cirrhosis ascertained through ICD codes:Hospitalization or death due to physician diagnosed cirrhosis: K70.2 (alcoholic fibrosis and sclerosis of the liver), K70.3 (alcoholic cirrhosis), K70.4 (alcoholic hepatic failure), K74.0 (hepatic fibrosis), K74.1 (hepatic sclerosis), K74.2 (hepatic fibrosis with hepatic sclerosis), K74.6 (other and unspecific cirrhosis of liver), K76.6 (portal hypertension), or I85 (esophageal varices). | — | [
|
— | NR | — | PHB | — |
| PSS000864 | All individuals had hepatitis B. Cases included individuals cirrhosis, biopsy confirmed cirrhosis and/or cirrhosis ascertained through ICD codes:Hospitalization or death due to physician diagnosed cirrhosis: K70.2 (alcoholic fibrosis and sclerosis of the liver), K70.3 (alcoholic cirrhosis), K70.4 (alcoholic hepatic failure), K74.0 (hepatic fibrosis), K74.1 (hepatic sclerosis), K74.2 (hepatic fibrosis with hepatic sclerosis), K74.6 (other and unspecific cirrhosis of liver), K76.6 (portal hypertension), or I85 (esophageal varices). | — | [
|
— | European | — | PHB | — |
| PSS000865 | All individuals had hepatitis B. Cases included individuals cirrhosis, biopsy confirmed cirrhosis and/or cirrhosis ascertained through ICD codes:Hospitalization or death due to physician diagnosed cirrhosis: K70.2 (alcoholic fibrosis and sclerosis of the liver), K70.3 (alcoholic cirrhosis), K70.4 (alcoholic hepatic failure), K74.0 (hepatic fibrosis), K74.1 (hepatic sclerosis), K74.2 (hepatic fibrosis with hepatic sclerosis), K74.6 (other and unspecific cirrhosis of liver), K76.6 (portal hypertension), or I85 (esophageal varices). | — | [
|
— | European | — | PHB | — |
| PSS000866 | Cases included individuals with cirrhosis, biopsy confirmed cirrhosis and/or cirrhosis ascertained through ICD codes:Hospitalization or death due to physician diagnosed cirrhosis: K70.2 (alcoholic fibrosis and sclerosis of the liver), K70.3 (alcoholic cirrhosis), K70.4 (alcoholic hepatic failure), K74.0 (hepatic fibrosis), K74.1 (hepatic sclerosis), K74.2 (hepatic fibrosis with hepatic sclerosis), K74.6 (other and unspecific cirrhosis of liver), K76.6 (portal hypertension), or I85 (esophageal varices). | — | [
|
— | African unspecified | — | PHB | — |
| PSS007834 | — | — | 400 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS000869 | CALIBER rule-based phenotyping algorithms (https://github.com/spiros/chronological-map-phenotypes#diabetes) | Median = 6.9 years | [ ,
51.0 % Male samples |
Median = 44.0 years IQR = [30.5, 54.7] years |
European | — | INTERVAL | — |
| PSS009661 | esophageal cancer (ICD-9 = 150 or ICD-10 = C15) | — | 406 individuals | — | European | — | UKB | — |
| PSS009662 | gastric cancer (ICD- 9 = 151 or ICD-10 = C16) | — | 272 individuals | — | European | — | UKB | — |
| PSS009669 | T2D cases were defined with T2D ICD codes, a single measurement of glucose (fasting glucose ≥126 mg/dL [7 mmol/L] or random glucose ≥ 200 mg/dL [11.1 mmol/L]) or use of any glucose-lowering medications. | — | [
|
— | African American or Afro-Caribbean (African) |
— | GenHAT | — |
| PSS009670 | T2D cases were defined with T2D ICD codes, a single measurement of glucose (fasting glucose ≥126 mg/dL [7 mmol/L] or random glucose ≥ 200 mg/dL [11.1 mmol/L]) or use of any glucose-lowering medications. | — | [
|
— | African American or Afro-Caribbean (African) |
— | HYPERGEN | — |
| PSS009671 | T2D cases were defined with T2D ICD codes, a single measurement of glucose (fasting glucose ≥126 mg/dL [7 mmol/L] or random glucose ≥ 200 mg/dL [11.1 mmol/L]) or use of any glucose-lowering medications. | — | [
|
— | African American or Afro-Caribbean (African) |
— | REGARDS | — |
| PSS009672 | Self-reported T2D | — | [
|
— | East Asian (Taiwanese) |
— | TWB | — |
| PSS009673 | Self-reported T2D | — | [
|
— | East Asian (Taiwanese) |
— | TWB | — |
| PSS009674 | Self-reported T2D | — | [
|
— | East Asian (Taiwanese) |
— | TWB | — |
| PSS009675 | T2D cases were defined with T2D ICD codes, a single measurement of glucose (fasting glucose ≥126 mg/dL [7 mmol/L] or random glucose ≥ 200 mg/dL [11.1 mmol/L]) or use of any glucose-lowering medications. | — | [
|
— | African American or Afro-Caribbean (African) |
— | WPC | — |
| PSS009676 | An EHR-based phenotyping algorithm of T2D implemented across eMERGE sites | — | [
|
— | African American or Afro-Caribbean (African) |
— | eMERGE | — |
| PSS009677 | An EHR-based phenotyping algorithm of T2D implemented across eMERGE sites | — | [
|
— | European (European) |
— | eMERGE | — |
| PSS009678 | An EHR-based phenotyping algorithm of T2D implemented across eMERGE sites | — | [
|
— | Hispanic or Latin American (Hispanic/Latino) |
— | eMERGE | — |
| PSS000893 | Participants were 50 years of age or older. Cases included individuals with colorectal cancer. For cases, reference age was defined as the age of diagnosis of first primary CRC. For controls, reference age was defined as the age at selection. | — | [
|
Range = [50.0, 100.0] years | European | — | RPGEH | — |
| PSS000894 | Participants were under 50 years of age. Cases included individuals with colorectal cancer. For cases, reference age was defined as the age of diagnosis of first primary CRC. For controls, reference age was defined as the age at selection. | — | [
|
Range = [0.0, 50.0] years | European | — | RPGEH | — |
| PSS000895 | Participants were 50 years of age or older with no family history of colorectal cancer. Cases included individuals with colorectal cancer. For cases, reference age was defined as the age of diagnosis of first primary CRC. For controls, reference age was defined as the age at selection. | — | [
|
Range = [50.0, 100.0] years | European | — | RPGEH | — |
| PSS000896 | Participants were under 50 years of age with no family history of colorectal cancer. Cases included individuals with colorectal cancer. For cases, reference age was defined as the age of diagnosis of first primary CRC. For controls, reference age was defined as the age at selection. | — | [
|
Range = [0.0, 50.0] years | European | — | RPGEH | — |
| PSS000251 | Colorectal adenocarcinoma located in the distal colon confirmed by medical records, pathology reports, or death certificate | — | [ ,
0.0 % Male samples |
— | European | — | 6 cohorts
|
Training and test split not relevant to PGS |
| PSS000252 | Colorectal adenocarcinoma located in the distal colon confirmed by medical records, pathology reports, or death certificate | — | [ ,
100.0 % Male samples |
— | European | — | 6 cohorts
|
Training and test split not relevant to PGS |
| PSS000253 | Colorectal adenocarcinoma located in the proximal colon confirmed by medical records, pathology reports, or death certificate | — | [ ,
0.0 % Male samples |
— | European | — | 6 cohorts
|
Training and test split not relevant to PGS |
| PSS000254 | Colorectal adenocarcinoma located in the proximal colon confirmed by medical records, pathology reports, or death certificate | — | [ ,
100.0 % Male samples |
— | European | — | 6 cohorts
|
Training and test split not relevant to PGS |
| PSS000255 | Colorectal adenocarcinoma located in the rectum confirmed by medical records, pathology reports, or death certificate | — | [ ,
0.0 % Male samples |
— | European | — | 6 cohorts
|
Training and test split not relevant to PGS |
| PSS000256 | Colorectal adenocarcinoma located in the rectum confirmed by medical records, pathology reports, or death certificate | — | [ ,
100.0 % Male samples |
— | European | — | 6 cohorts
|
Training and test split not relevant to PGS |
| PSS000257 | Colorectal adenocarcinoma confirmed by medical records, pathology reports, or death certificate | — | [ ,
0.0 % Male samples |
— | European | — | 6 cohorts
|
Training and test split not relevant to PGS |
| PSS000258 | Colorectal adenocarcinoma confirmed by medical records, pathology reports, or death certificate | — | [ ,
100.0 % Male samples |
— | European | — | 6 cohorts
|
Training and test split not relevant to PGS |
| PSS000259 | — | — | [ ,
57.21 % Male samples |
Range = [25.0, 90.0] years | European (Spanish) |
— | MCC-Spain | — |
| PSS000897 | Participants were 50 years of age or older with a history of colorectal cancer. Cases included individuals with colorectal cancer. For cases, reference age was defined as the age of diagnosis of first primary CRC. For controls, reference age was defined as the age at selection. | — | [
|
Range = [50.0, 100.0] years | European | — | RPGEH | — |
| PSS000260 | — | — | [ ,
0.0 % Male samples |
Mean (Cases) = 68.8 years Sd (Cases) = 9.7 years |
European | — | 14 cohorts
|
— |
| PSS000261 | — | — | [ ,
100.0 % Male samples |
Mean (Cases) = 67.8 years Sd (Cases) = 9.7 years |
European | — | 14 cohorts
|
— |
| PSS000262 | Excluding participants with prevalent cancer at recruitment colorectal cancer was defined as ICD codes: C18 (except C18.1, Appendix), C19 and C20 | — | [ ,
45.0 % Male samples |
Mean = 57.0 years IQR = [50.0, 63.0] years |
European | — | UKB | Follow-up time = 1,751,445 person years |
| PSS000263 | Excluding participants with prevalent cancer at recruitment colorectal cancer was defined as ICD codes: C18 (except C18.1, Appendix), C19 and C20 | — | [ ,
46.0 % Male samples |
Mean = 57.0 years IQR = [50.0, 63.0] years |
European | — | UKB | Follow-up time = 1,388,191 person years |
| PSS007942 | — | — | 1,719 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS007950 | — | — | 1,800 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS007951 | — | — | 1,772 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS007956 | — | — | 1,729 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS007957 | — | — | 1,808 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS010982 | — | Mean = 7.15 years | [
|
Mean = 31.04 years Sd = 10.43 years |
Native American | — | NR | — |
| PSS007990 | — | — | 1,774 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS007991 | — | — | 1,684 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS007992 | — | — | 1,810 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS009727 | — | — | 6,430 individuals | — | African unspecified | — | UKB | — |
| PSS007994 | — | — | 1,630 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS009728 | — | — | 898 individuals | — | East Asian | — | UKB | — |
| PSS007996 | — | — | 1,694 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS007997 | — | — | 1,770 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS007998 | — | — | 1,783 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS007999 | — | — | 1,806 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS008000 | — | — | 1,775 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS009729 | — | — | 43,355 individuals | — | European | Non-British European | UKB | — |
| PSS009730 | — | — | 7,926 individuals | — | South Asian | — | UKB | — |
| PSS009739 | — | — | 6,503 individuals | — | African unspecified | — | UKB | — |
| PSS009740 | — | — | 922 individuals | — | East Asian | — | UKB | — |
| PSS009741 | — | — | 43,505 individuals | — | European | Non-British European | UKB | — |
| PSS009742 | — | — | 8,098 individuals | — | South Asian | — | UKB | — |
| PSS000268 | Unselected participants of the German screening colonoscopy program are recruited by gastroenterology practices in southern Germany in this multicenter study.Colonoscopy and histology reports are collected and information from these reports is extracted independently in a standardized way by two trained investigators, who are blinded with respect to questionnaire and genotype data and who resolve discrepancies by consensus after further review and discussion. Based on colonoscopy reports, participants are categorized with respect to the most advanced lesion: CRC, advanced adenoma (AA), non-advanced adenoma (NAA), hyperplastic polyp, or undefined polyp. Advanced adenomas are defined as adenomas ≥1 cm or adenomas with cellular or structural atypia. | — | [ ,
61.74 % Male samples |
Range = [50.0, 79.0] years | European | — | BLITZ | — |
| PSS000269 | Unselected participants of the German screening colonoscopy program are recruited by gastroenterology practices in southern Germany in this multicenter study.Colonoscopy and histology reports are collected and information from these reports is extracted independently in a standardized way by two trained investigators, who are blinded with respect to questionnaire and genotype data and who resolve discrepancies by consensus after further review and discussion. Based on colonoscopy reports, participants are categorized with respect to the most advanced lesion: CRC, advanced adenoma (AA), non-advanced adenoma (NAA), hyperplastic polyp, or undefined polyp. Advanced adenomas are defined as adenomas ≥1 cm or adenomas with cellular or structural atypia. | — | [ ,
60.48 % Male samples |
Range = [50.0, 79.0] years | European | — | BLITZ | — |
| PSS000271 | — | — | [ ,
40.85 % Male samples |
Mean (Cases) = 58.34 years Sd (Cases) = 12.85 years |
East Asian (Han Chinese) |
— | NCRCC | — |
| PSS010988 | — | — | 470 individuals | Mean = 67.3 years | European | — | TCGA | — |
| PSS010993 | — | — | 153 individuals | Mean = 65.63 years | European | — | TCGA | — |
| PSS010998 | — | — | [
|
— | European | — | MGI | — |
| PSS008438 | — | — | 1,197 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS011000 | — | — | [
|
— | European | — | UKB | — |
| PSS011001 | — | — | [
|
— | European | — | UKB | — |
| PSS010999 | — | — | [
|
— | European | — | UKB | — |
| PSS011003 | — | — | [
|
— | European | — | UKB | — |
| PSS008439 | — | — | 1,170 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS011002 | — | — | [
|
— | European | — | UKB | — |
| PSS011009 | At each site, a trained medical reviewer performed manual record review for all individuals identified as having type 1 diabetes by the eMERGE algorithm. To confirm a diagnosis of type 1 diabetes, participants had to meet all of the following criteria, modified from (13): Diagnosis confirmed by an endocrinologist or primary care physician Current use of basal-bolus insulin or pump No secondary cause of diabetes listed in the medical record: gestational diabetes, checkpoint inhibitor use, glucocorticoid-induced diabetes, cystic fibrosis diagnosis, hemochromatosis, pancreatogenic diabetes, posttransplantation diabetes, maturity-onset diabetes of the young, or diagnosis of type 1.5 diabetes | — | 16,663 individuals, 48.0 % Male samples |
Mean = 51.9 years Sd = 14.8 years |
European | Self-identified race = White | BioMe | — |
| PSS011009 | At each site, a trained medical reviewer performed manual record review for all individuals identified as having type 1 diabetes by the eMERGE algorithm. To confirm a diagnosis of type 1 diabetes, participants had to meet all of the following criteria, modified from (13): Diagnosis confirmed by an endocrinologist or primary care physician Current use of basal-bolus insulin or pump No secondary cause of diabetes listed in the medical record: gestational diabetes, checkpoint inhibitor use, glucocorticoid-induced diabetes, cystic fibrosis diagnosis, hemochromatosis, pancreatogenic diabetes, posttransplantation diabetes, maturity-onset diabetes of the young, or diagnosis of type 1.5 diabetes | — | 11,443 individuals, 39.0 % Male samples |
Mean = 48.4 years Sd = 14.1 years |
African American or Afro-Caribbean | Self-identified race = Black | BioMe | — |
| PSS011009 | At each site, a trained medical reviewer performed manual record review for all individuals identified as having type 1 diabetes by the eMERGE algorithm. To confirm a diagnosis of type 1 diabetes, participants had to meet all of the following criteria, modified from (13): Diagnosis confirmed by an endocrinologist or primary care physician Current use of basal-bolus insulin or pump No secondary cause of diabetes listed in the medical record: gestational diabetes, checkpoint inhibitor use, glucocorticoid-induced diabetes, cystic fibrosis diagnosis, hemochromatosis, pancreatogenic diabetes, posttransplantation diabetes, maturity-onset diabetes of the young, or diagnosis of type 1.5 diabetes | — | 19,524 individuals, 37.0 % Male samples |
Mean = 50.3 years Sd = 15.3 years |
Hispanic or Latin American | Self-identified race = Hispanic | BioMe | — |
| PSS011009 | At each site, a trained medical reviewer performed manual record review for all individuals identified as having type 1 diabetes by the eMERGE algorithm. To confirm a diagnosis of type 1 diabetes, participants had to meet all of the following criteria, modified from (13): Diagnosis confirmed by an endocrinologist or primary care physician Current use of basal-bolus insulin or pump No secondary cause of diabetes listed in the medical record: gestational diabetes, checkpoint inhibitor use, glucocorticoid-induced diabetes, cystic fibrosis diagnosis, hemochromatosis, pancreatogenic diabetes, posttransplantation diabetes, maturity-onset diabetes of the young, or diagnosis of type 1.5 diabetes | — | 10,013 individuals, 46.0 % Male samples |
Mean = 55.9 years Sd = 13.9 years |
East Asian, South East Asian, Native American, South Asian, Other | Self-identified race = Other | BioMe | — |
| PSS011010 | At each site, a trained medical reviewer performed manual record review for all individuals identified as having type 1 diabetes by the eMERGE algorithm. To confirm a diagnosis of type 1 diabetes, participants had to meet all of the following criteria, modified from (13): Diagnosis confirmed by an endocrinologist or primary care physician Current use of basal-bolus insulin or pump No secondary cause of diabetes listed in the medical record: gestational diabetes, checkpoint inhibitor use, glucocorticoid-induced diabetes, cystic fibrosis diagnosis, hemochromatosis, pancreatogenic diabetes, posttransplantation diabetes, maturity-onset diabetes of the young, or diagnosis of type 1.5 diabetes | — | 11,443 individuals, 39.0 % Male samples |
Mean = 48.4 years Sd = 14.1 years |
African American or Afro-Caribbean | Self-identified race = Black | BioMe | — |
| PSS011010 | At each site, a trained medical reviewer performed manual record review for all individuals identified as having type 1 diabetes by the eMERGE algorithm. To confirm a diagnosis of type 1 diabetes, participants had to meet all of the following criteria, modified from (13): Diagnosis confirmed by an endocrinologist or primary care physician Current use of basal-bolus insulin or pump No secondary cause of diabetes listed in the medical record: gestational diabetes, checkpoint inhibitor use, glucocorticoid-induced diabetes, cystic fibrosis diagnosis, hemochromatosis, pancreatogenic diabetes, posttransplantation diabetes, maturity-onset diabetes of the young, or diagnosis of type 1.5 diabetes | — | 19,524 individuals, 37.0 % Male samples |
Mean = 50.3 years Sd = 15.3 years |
Hispanic or Latin American | Self-identified race = Hispanic | BioMe | — |
| PSS011010 | At each site, a trained medical reviewer performed manual record review for all individuals identified as having type 1 diabetes by the eMERGE algorithm. To confirm a diagnosis of type 1 diabetes, participants had to meet all of the following criteria, modified from (13): Diagnosis confirmed by an endocrinologist or primary care physician Current use of basal-bolus insulin or pump No secondary cause of diabetes listed in the medical record: gestational diabetes, checkpoint inhibitor use, glucocorticoid-induced diabetes, cystic fibrosis diagnosis, hemochromatosis, pancreatogenic diabetes, posttransplantation diabetes, maturity-onset diabetes of the young, or diagnosis of type 1.5 diabetes | — | 10,013 individuals, 46.0 % Male samples |
Mean = 55.9 years Sd = 13.9 years |
East Asian, South East Asian, Native American, South Asian, Other | Self-identified race = Other | BioMe | — |
| PSS011011 | At each site, a trained medical reviewer performed manual record review for all individuals identified as having type 1 diabetes by the eMERGE algorithm. To confirm a diagnosis of type 1 diabetes, participants had to meet all of the following criteria, modified from (13): Diagnosis confirmed by an endocrinologist or primary care physician Current use of basal-bolus insulin or pump No secondary cause of diabetes listed in the medical record: gestational diabetes, checkpoint inhibitor use, glucocorticoid-induced diabetes, cystic fibrosis diagnosis, hemochromatosis, pancreatogenic diabetes, posttransplantation diabetes, maturity-onset diabetes of the young, or diagnosis of type 1.5 diabetes | — | 16,663 individuals, 48.0 % Male samples |
Mean = 51.9 years Sd = 14.8 years |
European | Self-identified race = White | BioMe | — |
| PSS011012 | — | — | 34,939 individuals, 47.0 % Male samples |
Mean = 59.1 years Sd = 16.9 years |
European | Self-identified race = white | MGBB | — |
| PSS011012 | — | — | 2,101 individuals, 37.0 % Male samples |
Mean = 52.1 years Sd = 16.3 years |
African American or Afro-Caribbean (Black) |
— | MGBB | — |
| PSS011012 | — | — | 1,269 individuals, 34.0 % Male samples |
Mean = 46.4 years Sd = 16.1 years |
Hispanic or Latin American (Hispanic) |
— | MGBB | — |
| PSS011012 | — | — | 1,511 individuals, 36.0 % Male samples |
Mean = 46.9 years Sd = 16.3 years |
Native American, Asian unspecified, Oceanian, Other | — | MGBB | — |
| PSS011013 | At each site, a trained medical reviewer performed manual record review for all individuals identified as having type 1 diabetes by the eMERGE algorithm. To confirm a diagnosis of type 1 diabetes, participants had to meet all of the following criteria, modified from (13): Diagnosis confirmed by an endocrinologist or primary care physician Current use of basal-bolus insulin or pump No secondary cause of diabetes listed in the medical record: gestational diabetes, checkpoint inhibitor use, glucocorticoid-induced diabetes, cystic fibrosis diagnosis, hemochromatosis, pancreatogenic diabetes, posttransplantation diabetes, maturity-onset diabetes of the young, or diagnosis of type 1.5 diabetes | — | 2,101 individuals, 37.0 % Male samples |
Mean = 52.1 years Sd = 16.3 years |
African American or Afro-Caribbean | Self-identified race = Black | MGBB | — |
| PSS004094 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS011013 | At each site, a trained medical reviewer performed manual record review for all individuals identified as having type 1 diabetes by the eMERGE algorithm. To confirm a diagnosis of type 1 diabetes, participants had to meet all of the following criteria, modified from (13): Diagnosis confirmed by an endocrinologist or primary care physician Current use of basal-bolus insulin or pump No secondary cause of diabetes listed in the medical record: gestational diabetes, checkpoint inhibitor use, glucocorticoid-induced diabetes, cystic fibrosis diagnosis, hemochromatosis, pancreatogenic diabetes, posttransplantation diabetes, maturity-onset diabetes of the young, or diagnosis of type 1.5 diabetes | — | 1,269 individuals, 34.0 % Male samples |
Mean = 46.4 years Sd = 16.1 years |
Hispanic or Latin American | Self-identified race = Hispanic | MGBB | — |
| PSS011013 | At each site, a trained medical reviewer performed manual record review for all individuals identified as having type 1 diabetes by the eMERGE algorithm. To confirm a diagnosis of type 1 diabetes, participants had to meet all of the following criteria, modified from (13): Diagnosis confirmed by an endocrinologist or primary care physician Current use of basal-bolus insulin or pump No secondary cause of diabetes listed in the medical record: gestational diabetes, checkpoint inhibitor use, glucocorticoid-induced diabetes, cystic fibrosis diagnosis, hemochromatosis, pancreatogenic diabetes, posttransplantation diabetes, maturity-onset diabetes of the young, or diagnosis of type 1.5 diabetes | — | 1,511 individuals, 36.0 % Male samples |
Mean = 46.9 years Sd = 16.3 years |
Native American, Asian unspecified, Oceanian, Other | Self-identified race = Other | MGBB | — |
| PSS011014 | At each site, a trained medical reviewer performed manual record review for all individuals identified as having type 1 diabetes by the eMERGE algorithm. To confirm a diagnosis of type 1 diabetes, participants had to meet all of the following criteria, modified from (13): Diagnosis confirmed by an endocrinologist or primary care physician Current use of basal-bolus insulin or pump No secondary cause of diabetes listed in the medical record: gestational diabetes, checkpoint inhibitor use, glucocorticoid-induced diabetes, cystic fibrosis diagnosis, hemochromatosis, pancreatogenic diabetes, posttransplantation diabetes, maturity-onset diabetes of the young, or diagnosis of type 1.5 diabetes | — | 34,939 individuals, 47.0 % Male samples |
Mean = 59.1 years Sd = 16.9 years |
European | Self-identified race = White | MGBB | — |
| PSS004098 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004099 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004100 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004101 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004102 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004103 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004095 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004096 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004097 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS000274 | Primary tumor samples from TCGA | — | [
|
Mean = 68.0 years Sd = 13.0 years |
European | — | TCGA | — |
| PSS000274 | — | — | [
|
— | European | — | eMERGE | — |
| PSS011018 | — | — | [
|
— | European | — | UKB | — |
| PSS004114 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004115 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004116 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004117 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004118 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004119 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004120 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004121 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004122 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004123 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS011020 | ICD-10: C18.X or C20.X, D01.[0,1,2], D37.[4, 5] | — | [
|
— | European, Not reported | — | UKB | — |
| PSS000981 | Cases were individuals with colorectal cancer based on self-reporting at the baseline (Coding IDs: 10,221,023), primary cause of death (ICD-10) from the death registry (Coding IDsC180,C182,C183,C184,C185,C186,C187,C188,C189), secondary cause of death (ICD-10) from the death registry (Coding IDs: C180,C182,C183,C184,C185,C186,C187,C188,C189), type of cancer (ICD-10) from the cancer registry (Coding IDs: C18,C180,C181,C182,C183,C184,C185,C186,C187,C188,C189,C19,C20,D010,D011,D012,D374,D375, 153,154,1530,1531,1532,1533,1534,1535,1536,1537,1538,1539,1540,1541,1 548,2303,2304), primary diagnoses (ICD-10) from hospitalization records (Coding IDs: C18,C180,C182,C183,C184,C185,C186,C187,C188,C189,C19,C20,D010,D011,D012,D374,D375), primary diagnoses (ICD-9) from hopsitalization records (Coding IDs: 153,154,1530,1532,1533,1534,1536,1537,1539,1540,1541), secondary diagnoses (ICD-10) from hospitalization records (Coding IDs: C18,C180,C182,C183,C184,C185,C186,C187,C188,C189,C19,C20,D010,D011,D012,D374,D375), secondary diagnoses (ICD-9) from hospitialization records (Coding IDs: 153,153,154,1532,1533,1541). Of the total number of cases and controls, 76 were carriers of a pathogenic or likely pathogenic variant in any of the following genes: MLH1, MSH2, MSH6 and PMS2. | — | [
|
— | European | — | UKB | — |
| PSS000279 | Primary tumor samples from TCGA | — | [
|
Mean = 66.0 years Sd = 11.0 years |
European | — | TCGA | — |
| PSS000279 | — | — | [
|
— | European | — | eMERGE | — |
| PSS000981 | Cases were individuals with colorectal cancer based on self-reporting at the baseline (Coding IDs: 10,221,023), primary cause of death (ICD-10) from the death registry (Coding IDsC180,C182,C183,C184,C185,C186,C187,C188,C189), secondary cause of death (ICD-10) from the death registry (Coding IDs: C180,C182,C183,C184,C185,C186,C187,C188,C189), type of cancer (ICD-10) from the cancer registry (Coding IDs: C18,C180,C181,C182,C183,C184,C185,C186,C187,C188,C189,C19,C20,D010,D011,D012,D374,D375, 153,154,1530,1531,1532,1533,1534,1535,1536,1537,1538,1539,1540,1541,1 548,2303,2304), primary diagnoses (ICD-10) from hospitalization records (Coding IDs: C18,C180,C182,C183,C184,C185,C186,C187,C188,C189,C19,C20,D010,D011,D012,D374,D375), primary diagnoses (ICD-9) from hopsitalization records (Coding IDs: 153,154,1530,1532,1533,1534,1536,1537,1539,1540,1541), secondary diagnoses (ICD-10) from hospitalization records (Coding IDs: C18,C180,C182,C183,C184,C185,C186,C187,C188,C189,C19,C20,D010,D011,D012,D374,D375), secondary diagnoses (ICD-9) from hospitialization records (Coding IDs: 153,153,154,1532,1533,1541). Of the total number of cases and controls, 76 were carriers of a pathogenic or likely pathogenic variant in any of the following genes: MLH1, MSH2, MSH6 and PMS2. | — | [
|
— | African unspecified | — | UKB | — |
| PSS004129 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004130 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004131 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004132 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004133 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004125 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004126 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004127 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004128 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004134 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004135 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004136 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004137 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004139 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004140 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004141 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS000981 | Cases were individuals with colorectal cancer based on self-reporting at the baseline (Coding IDs: 10,221,023), primary cause of death (ICD-10) from the death registry (Coding IDsC180,C182,C183,C184,C185,C186,C187,C188,C189), secondary cause of death (ICD-10) from the death registry (Coding IDs: C180,C182,C183,C184,C185,C186,C187,C188,C189), type of cancer (ICD-10) from the cancer registry (Coding IDs: C18,C180,C181,C182,C183,C184,C185,C186,C187,C188,C189,C19,C20,D010,D011,D012,D374,D375, 153,154,1530,1531,1532,1533,1534,1535,1536,1537,1538,1539,1540,1541,1 548,2303,2304), primary diagnoses (ICD-10) from hospitalization records (Coding IDs: C18,C180,C182,C183,C184,C185,C186,C187,C188,C189,C19,C20,D010,D011,D012,D374,D375), primary diagnoses (ICD-9) from hopsitalization records (Coding IDs: 153,154,1530,1532,1533,1534,1536,1537,1539,1540,1541), secondary diagnoses (ICD-10) from hospitalization records (Coding IDs: C18,C180,C182,C183,C184,C185,C186,C187,C188,C189,C19,C20,D010,D011,D012,D374,D375), secondary diagnoses (ICD-9) from hospitialization records (Coding IDs: 153,153,154,1532,1533,1541). Of the total number of cases and controls, 76 were carriers of a pathogenic or likely pathogenic variant in any of the following genes: MLH1, MSH2, MSH6 and PMS2. | — | [
|
— | Asian unspecified | — | UKB | — |
| PSS004142 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004143 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS009859 | — | — | 6,503 individuals | — | African unspecified | — | UKB | — |
| PSS009860 | — | — | 922 individuals | — | East Asian | — | UKB | — |
| PSS000981 | Cases were individuals with colorectal cancer based on self-reporting at the baseline (Coding IDs: 10,221,023), primary cause of death (ICD-10) from the death registry (Coding IDsC180,C182,C183,C184,C185,C186,C187,C188,C189), secondary cause of death (ICD-10) from the death registry (Coding IDs: C180,C182,C183,C184,C185,C186,C187,C188,C189), type of cancer (ICD-10) from the cancer registry (Coding IDs: C18,C180,C181,C182,C183,C184,C185,C186,C187,C188,C189,C19,C20,D010,D011,D012,D374,D375, 153,154,1530,1531,1532,1533,1534,1535,1536,1537,1538,1539,1540,1541,1 548,2303,2304), primary diagnoses (ICD-10) from hospitalization records (Coding IDs: C18,C180,C182,C183,C184,C185,C186,C187,C188,C189,C19,C20,D010,D011,D012,D374,D375), primary diagnoses (ICD-9) from hopsitalization records (Coding IDs: 153,154,1530,1532,1533,1534,1536,1537,1539,1540,1541), secondary diagnoses (ICD-10) from hospitalization records (Coding IDs: C18,C180,C182,C183,C184,C185,C186,C187,C188,C189,C19,C20,D010,D011,D012,D374,D375), secondary diagnoses (ICD-9) from hospitialization records (Coding IDs: 153,153,154,1532,1533,1541). Of the total number of cases and controls, 76 were carriers of a pathogenic or likely pathogenic variant in any of the following genes: MLH1, MSH2, MSH6 and PMS2. | — | [
|
— | Not reported | — | UKB | — |
| PSS009861 | — | — | 43,505 individuals | — | European | Non-British European | UKB | — |
| PSS009862 | — | — | 8,098 individuals | — | South Asian | — | UKB | — |
| PSS008154 | — | — | 6,010 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008163 | — | — | 6,307 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008164 | — | — | 6,243 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008169 | — | — | 5,228 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008170 | — | — | 6,312 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS011057 | — | — | [ ,
65.5 % Male samples |
Mean = 61.6 years Range = [20.0, 90.0] years |
African American or Afro-Caribbean (African American) |
— | GERA | — |
| PSS011058 | — | — | [ ,
42.1 % Male samples |
Mean = 55.8 years Range = [20.0, 90.0] years |
East Asian | — | GERA | — |
| PSS011059 | — | — | [ ,
41.6 % Male samples |
Mean = 62.3 years Range = [20.0, 90.0] years |
European | — | GERA | — |
| PSS011060 | — | — | [ ,
38.7 % Male samples |
Mean = 55.0 years Range = [20.0, 90.0] years |
Hispanic or Latin American | — | GERA | — |
| PSS011061 | The colorectal cancer case subjects were defined as those who had at least two ICD9/10 codes for CRC. Control sub- jects had zero ICD9/10 codes for CRC. Participants with a single ICD9/10 code for CRC were excluded from analysis. | — | [
|
— | European | — | eMERGE | — |
| PSS011062 | — | — | [ ,
50.5 % Male samples |
Mean = 64.5 years | Asian unspecified | — | GERA, MG-JPN | — |
| PSS011063 | — | — | [ ,
44.0 % Male samples |
Mean = 61.33 years | African American or Afro-Caribbean | — | GERA, MG-AA, eMERGE | — |
| PSS011064 | — | — | [ ,
47.5 % Male samples |
Mean = 64.0 years | Hispanic or Latin American | — | GERA, HCCS | — |
| PSS011065 | — | — | [ ,
52.75 % Male samples |
Mean = 65.75 years | European | — | BCC, CPSII, GERA, eMERGE | — |
| PSS008208 | — | — | 6,172 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008209 | — | — | 5,720 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008210 | — | — | 6,331 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008212 | — | — | 5,337 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS011070 | — | — | 332 individuals, 0.0 % Male samples |
Median = 58.0 years IQR = [52.0, 64.0] years |
East Asian (Chinese) |
— | SCHS | — |
| PSS011071 | — | — | 409 individuals, 100.0 % Male samples |
Median = 59.0 years IQR = [52.0, 65.0] years |
East Asian (Chinese) |
— | SCHS | — |
| PSS008213 | — | — | 5,277 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008215 | — | — | 5,621 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008216 | — | — | 5,990 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008217 | — | — | 6,209 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008218 | — | — | 6,310 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS009893 | — | — | 366 individuals | — | African American or Afro-Caribbean | — | SEARCH | — |
| PSS009894 | — | — | 412 individuals | — | Hispanic or Latin American | — | SEARCH | — |
| PSS009895 | — | — | 1,168 individuals | — | European | — | SEARCH | — |
| PSS009896 | — | — | 99 individuals | — | Not reported | — | SEARCH | — |
| PSS008219 | — | — | 6,142 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS000996 | All individuals (cases and controls) met the at-risk criteria for nonalcoholic fatty liver disease (NAFLD) defined as a BMI ≥30 kg/m2 or diagnosis of type 2 diabetes, or both, without evidence of any other cause of liver disease including excess alcohol . Cases were individuals who had been hospitalised with cirrhosis for the first time. A hospital admission for cirrhosis was defined according to the Ratib et al (PMID: 24419483) validated algorithm incorporating appropriate ICD discharge codes and OPCS Classification of Interventions and Procedures version 4 codes. | Mean = 7.9 years | [ ,
43.0 % Male samples |
Median = 59.0 years Range = [52.0, 64.0] years |
Not reported | — | UKB | GRS dataset used to test/ evaluate performance of GRS. The GRS dataset is independent of the discovery analysis datasets containing UKB participants. Possible sample overlap between the GRS dataset and the phase 1 replication/validation analysis and phase 2 replication analysis datasets containing UKB participants. |
| PSS009902 | — | — | [
|
— | European (Italian) |
— | NR | — |
| PSS004124 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS009913 | — | — | [
|
— | European | — | PANSCAN | — |
| PSS009918 | — | — | 5,306 individuals, 51.9 % Male samples |
Mean = 62.1 years | European | — | BLITZ | — |
| PSS008270 | — | — | 908 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS004312 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004313 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004314 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004315 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004316 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS009924 | — | — | [
|
— | East Asian (Korean) |
— | NR | — |
| PSS009923 | — | — | [
|
— | East Asian (Chinese) |
— | NR | — |
| PSS011097 | — | — | 2,669 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) (Arab) |
— | NR | N total after excluding missing values = 2,553 |
| PSS004334 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004335 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004336 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004337 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004338 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004339 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004340 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004341 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004342 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004343 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004138 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004359 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004360 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004361 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004362 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004363 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS009939 | — | — | 39,444 individuals | — | European (Finnish) |
— | FinnGen | — |
| PSS004389 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004390 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004391 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004392 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004393 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS009943 | We used the disease definitions described in the supplement of Eastwood et al (2016). PMID: 27631769 | — | [ ,
45.0 % Male samples |
European | — | UKB | — | |
| PSS001013 | Individuals with at least one recorded incident diagnosis of a borderline, in situ, or malignant primary cancer were defined as cases. | — | [
|
— | European | — | UKB | — |
| PSS008378 | — | — | 1,123 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS001020 | Individuals with at least one recorded incident diagnosis of a borderline, in situ, or malignant primary cancer were defined as cases. | — | [
|
— | European | — | UKB | — |
| PSS001022 | Individuals with at least one recorded incident diagnosis of a borderline, in situ, or malignant primary cancer were defined as cases. | — | [
|
— | European | — | UKB | — |
| PSS008385 | — | — | 1,194 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS008386 | — | — | 1,178 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS008391 | — | — | 1,107 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS008392 | — | — | 1,197 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS004423 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004424 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004425 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004426 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004437 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004438 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004439 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004440 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004441 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004442 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS001030 | Cases included individuals with polyps. Of the 5331 cases, 2952 had conventional adenomas (CAs), 1585 had serrated polyps (SAs) and 794 had sychronous CAs and SPs. CAs were defined as tubular, tubulovillous and villous adenomas and adenomas with high-grade dysplasia. Advanced CAs were defined by at least one CA ≥10 mm in diameter or with advanced histology (tubulovillous/villous histological features or high-grade/severe dysplasia) or ≥3 CAs regardless of histology or size. SPs were defined as hyperplastic polyps and mixed/serrated adenomas. Individuals at high risk of malignancy were defined as having SPs located in the proximal colon or with a size of ≥10 mm. Mixed/serrated ademonas were defined as both mixed polyps (those with both adenomatous and hyperplastic changes in histology) and polyps with any serrated diagnosis (e.g. serrated adenomas, serrated polyps and SSA/Ps). If a participant had both CAs and SPs in an endoscopy, each type of the polyps were recorded separately, and considered the patient as a synchronous SP and CA case. | — | [ ,
30.0 % Male samples |
Mean = 63.2 years Sd = 10.0 years |
European | — | HPFS, NHS, NHS2 | — |
| PSS004444 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004445 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004446 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS008428 | — | — | 1,165 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS008429 | — | — | 1,076 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS001031 | Exclusion criteria for healthy controls included subjects with polyposis, adenomas, and diseases related to or causing a predisposition for cancer. Cases included subjects with colorectal cancer, confirmed by endoscopic and histological examinations. | — | [ ,
51.39 % Male samples |
— | East Asian (Han-Chinese) |
— | NR | Subects obtained from First Hospital of China Medical University (CMU) |
| PSS001032 | Exclusion criteria for healthy controls included subjects with polyposis, adenomas, and diseases related to or causing a predisposition for cancer. Cases included subjects with colorectal cancer, confirmed by endoscopic and histological examinations. | — | [ ,
53.86 % Male samples |
— | East Asian (Han-Chinese) |
— | NR | Subjects obtained from Fudan University Shanghai Cancer Center (FUSCC) |
| PSS001033 | Exclusion criteria for healthy controls included subjects with polyposis, adenomas, and diseases related to or causing a predisposition for cancer. Cases included subjects with colorectal cancer, confirmed by endoscopic and histological examinations. | — | [ ,
53.72 % Male samples |
— | East Asian (Han-Chinese) |
— | NR | Subjects obtained from Sun Yat-Sen University Cancer Center (SYSUCC) |
| PSS004457 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004458 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004459 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004460 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS008430 | — | — | 1,200 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS008432 | — | — | 1,007 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS008433 | — | — | 998 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS008435 | — | — | 1,070 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS008436 | — | — | 1,135 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS008437 | — | — | 1,185 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS009971 | — | — | 30,716 individuals | — | European | — | MGBB | — |
| PSS011181 | — | — | 3,071 individuals, 48.8 % Male samples |
Mean = 57.4 years Sd = 12.88 years |
Not reported | — | KORA | — |
| PSS009971 | — | — | 1,807 individuals | — | African unspecified (Black) |
— | MGBB | — |
| PSS009971 | — | — | 786 individuals | — | Asian unspecified | — | MGBB | — |
| PSS009971 | — | — | 3,113 individuals | — | Other | — | MGBB | — |
| PSS011182 | — | — | 381,825 individuals | — | European | — | UKB | — |
| PSS001044 | Cases are individuals with type 2 diabetes (T2D). T2D cases were defined as individuals with (1) a T2D diagnosis by a physician/medical professional and use of medication for treatment of diabetes, and/or (2)a fasting(R8h)blood glucose measurement R126 mg/dL indicated in examination records. For the BMBB cohort T2D diabetes status was defined from algorithms extracted from electronic medical record (EMR) and includes family history of T2D as an exclusion criteria. For T2D cases, BMBB defined medications using unique RxNorm codes at an ingredient level and defined laboratory tests using the logical observations identifiers names and codes (LOINC) standard (https://www.phekb.org/phenotype/type-2-diabetes-mellitus). BioMe included all patients with ICD-9-CM codes of 250.x0 or 250.x2, except for codes 250.10 and 250.12 (indicative of T2D with ketoacidosis, a condition also closely associated with T1D), patients on T2D medications and/or insulin at any time, and all patients with abnormal glucose (>200 mg/dl) or hemoglobin A1c (HbA1c; ≥6.5%) laboratory test results. For the MEC cohort, T2D cases were defined using the following criteria: (a) a self-report of diabetes on the baseline questionnaire, 2nd questionnaire or 3rd questionnaire; and (b) self-report of taking medication for T2D at the time of blood draw; and (c) no diagnosis of T1D in the absence of a T2D diagnosis from the California Office of Statewide Health Planning and Development (OSHPD) for California Residents. In addition, cases included individuals who were linked to the diabetes registries of Hawaii Medical Service Association (HMSA) or Kaiser Permanente Hawaii (KPH) health plans, or who were designated as diabetic in the Chronic Conditions Data Warehouse (CCW) of Medicare. For the WHI cohort, T2D was documented at baseline by self-report in which each woman was asked whether she had ever been told that she had “sugar diabetes” by her physician. Incident diabetes during follow-up was documented by self-report at each semi-annual contact, when participants were asked, “Since the date given on the front of this form, has a doctor prescribed any of the following pills or treatments?” Choices included “pills for diabetes” and “insulin shots for diabetes.”. For the ARIC cohort prevalent type 2 diabetes was defined at the baseline examination as fasting (≥8 h) blood glucose ≥126 mg/dL, or nonfasting glucose ≥200 mg/dL, self-report physician diagnosis of diabetes or “sugar in the blood,” or current medication use for diabetes within the last two weeks. For the CARDIA cohort, T2D was determined at last visit based on a combination of measured fasting glucose levels (≥7.0 mmol/L and ≥126 mg/dL) at examination years 0, 7, 10, 15, 20, or 25; self-report of oral hypoglycemic medications or insulin at years 0, 7, 10, 15, 20, or 25; a 2-h postload glucose ≥11.1 mmol/L (≥200 mg/dL) during a 75-g oral glucose tolerance test at years 10, 20, and 25; or an HbA1c ≥6.5% at years 20 and 25. | — | [
|
— | African American or Afro-Caribbean | — | ARIC, BioMe, CARDIA, MEC, WHI | Possible sample overlap with this dataset and the datasets used to source/develop GRS582_T2Dmulti and GRS582_T2Dafr. |
| PSS001045 | Cases are individuals with type 2 diabetes (T2D). T2D cases were defined as individuals with (1) a T2D diagnosis by a physician/medical professional and use of medication for treatment of diabetes,and/or (2)a fasting(R8h)blood glucose measurement R126 mg/dL indicated in examination records. For the BMBB cohort T2D diabetes status was defined from algorithms extracted from electronic medical record (EMR) and includes family history of T2D as an exclusion criteria. For T2D cases, BMBB defined medications using unique RxNorm codes at an ingredient level and defined laboratory tests using the logical observations identifiers names and codes (LOINC) standard (https://www.phekb.org/phenotype/type-2-diabetes-mellitus). BioMe included all patients with ICD-9-CM codes of 250.x0 or 250.x2, except for codes 250.10 and 250.12 (indicative of T2D with ketoacidosis, a condition also closely associated with T1D), patients on T2D medications and/or insulin at any time, and all patients with abnormal glucose (>200 mg/dl) or hemoglobin A1c (HbA1c; ≥6.5%) laboratory test results. For the MEC cohort, T2D cases were defined using the following criteria: (a) a self-report of diabetes on the baseline questionnaire, 2nd questionnaire or 3rd questionnaire; and (b) self-report of taking medication for T2D at the time of blood draw; and (c) no diagnosis of T1D in the absence of a T2D diagnosis from the California Office of Statewide Health Planning and Development (OSHPD) for California Residents. In addition, cases included individuals who were linked to the diabetes registries of Hawaii Medical Service Association (HMSA) or Kaiser Permanente Hawaii (KPH) health plans, or who were designated as diabetic in the Chronic Conditions Data Warehouse (CCW) of Medicare. For the WHI cohort, T2D was documented at baseline by self-report in which each woman was asked whether she had ever been told that she had “sugar diabetes” by her physician. Incident diabetes during follow-up was documented by self-report at each semi-annual contact, when participants were asked, “Since the date given on the front of this form, has a doctor prescribed any of the following pills or treatments?” Choices included “pills for diabetes” and “insulin shots for diabetes.”. | — | [
|
— | Asian unspecified | — | BioMe, MEC, WHI | Possible sample overlap with this dataset and the datasets used to source/develop GRS582_T2Dmulti and GRS582_T2Dasn. |
| PSS001046 | Cases are individuals with type 2 diabetes (T2D). T2D cases were defined as individuals with (1) a T2D diagnosis by a physician/medical professional and use of medication for treatment of diabetes,and/or (2)a fasting(R8h)blood glucose measurement R126 mg/dL indicated in examination records. For the UKB cohort, T2D cases were defined by an ICD-10 code of E11.X or a self-reported diagnosis in an interview with a trained nurse. | — | [
|
— | European | — | UKB | Possible significant sample overlap with this dataset and the datasets used to source/develop GRS582_T2Dmulti and GRS582_T2Deur |
| PSS001047 | Cases are individuals with type 2 diabetes (T2D). T2D cases were defined as individuals with (1) a T2D diagnosis by a physician/medical professional and use of medication for treatment of diabetes,and/or (2)a fasting(R8h)blood glucose measurement R126 mg/dL indicated in examination records. For the BMBB cohort T2D diabetes status was defined from algorithms extracted from electronic medical record (EMR) and includes family history of T2D as an exclusion criteria. For T2D cases, BMBB defined medications using unique RxNorm codes at an ingredient level and defined laboratory tests using the logical observations identifiers names and codes (LOINC) standard (https://www.phekb.org/phenotype/type-2-diabetes-mellitus). BioMe included all patients with ICD-9-CM codes of 250.x0 or 250.x2, except for codes 250.10 and 250.12 (indicative of T2D with ketoacidosis, a condition also closely associated with T1D), patients on T2D medications and/or insulin at any time, and all patients with abnormal glucose (>200 mg/dl) or hemoglobin A1c (HbA1c; ≥6.5%) laboratory test results. For the MEC cohort, T2D cases were defined using the following criteria: (a) a self-report of diabetes on the baseline questionnaire, 2nd questionnaire or 3rd questionnaire; and (b) self-report of taking medication for T2D at the time of blood draw; and (c) no diagnosis of T1D in the absence of a T2D diagnosis from the California Office of Statewide Health Planning and Development (OSHPD) for California Residents. In addition, cases included individuals who were linked to the diabetes registries of Hawaii Medical Service Association (HMSA) or Kaiser Permanente Hawaii (KPH) health plans, or who were designated as diabetic in the Chronic Conditions Data Warehouse (CCW) of Medicare. For the WHI cohort, T2D was documented at baseline by self-report in which each woman was asked whether she had ever been told that she had “sugar diabetes” by her physician. Incident diabetes during follow-up was documented by self-report at each semi-annual contact, when participants were asked, “Since the date given on the front of this form, has a doctor prescribed any of the following pills or treatments?” Choices included “pills for diabetes” and “insulin shots for diabetes.”. For the SOL cohort, T2D cases were defined as those with fasting time >8 h and fasting glucose levels ≥126 mg/dL, fasting ≤8 h and fasting glucose ≥200 mg/dL, post–oral glucose tolerance test glucose ≥200 mg/dL, HbA1c ≥6.5% (48 mmol/mol), or on current treatment with antihyperglycemia medications. | — | [
|
— | Hispanic or Latin American | — | BioMe, MEC, SOL, WHI | Possible sample overlap with this dataset and the datasets used to source/develop GRS582_T2Dmulti and GRS582_T2Dhis. |
| PSS001048 | Cases are individuals with type 2 diabetes (T2D). T2D cases were defined as individualswith (1) a T2D diagnosis by a physician/medical professional and use of medication for treat-mentofdiabetes,and/or (2)a fasting(R8h)blood glucose measurement R126 mg/dL indicated in examination records. For the MEC cohort, T2D cases were defined using the following criteria: (a) a self-report of diabetes on the baseline questionnaire, 2nd questionnaire or 3rd questionnaire; and (b) self-report of taking medication for T2D at the time of blood draw; and (c) no diagnosis of T1D in the absence of a T2D diagnosis from the California Office of Statewide Health Planning and Development (OSHPD) for California Residents. In addition, cases included individuals who were linked to the diabetes registries of Hawaii Medical Service Association (HMSA) or Kaiser Permanente Hawaii (KPH) health plans, or who were designated as diabetic in the Chronic Conditions Data Warehouse (CCW) of Medicare. | — | [
|
— | Oceanian (Native Hawaiian) |
— | MEC | — |
| PSS011018 | — | — | [
|
— | European, African American or Afro-Caribbean, African unspecified, Asian unspecified, NR | European and African Caribbean, European and Black African, European and Asian, NR | UKB | — |
| PSS011018 | — | — | [
|
— | Asian unspecified | — | UKB | — |
| PSS011018 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS011018 | — | — | [
|
— | Not reported | — | UKB | — |
| PSS008492 | — | — | 208 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS000368 | TEDDY children were followed prospectively from 3–4 months of age, with visits every 3 months until 4 years of age. Each evaluation tested the three islet antibodies (GADA, IA2A and IAA), changes in family history, as well as other measurements specified by the TEDDY protocol. After 4 years of age, children with any islet autoantibodies remained on quarterly visits, while antibody-negative children were evaluated every 6 months. Children were followed prospectively until 15 years of age or until T1D onset, as defined using the American Diabetes Association’s criteria for diagnosis (doi: 10.1196/annals.1447.062) | Median = 9.3 years Range = [0.0833, 14.0] years |
[ ,
50.86 % Male samples |
Range = [3.0, 4.0] years | NR | — | TEDDY | From 2004–2010, 424,788 newborns were screened at six US and European centers for high-risk HLA genotypes. TEDDY then enrolled 8,676 eligible infants with the intent to follow them until 15 years of age. The three major eligible HLA DR–DQ haplotypes are DR3–DQA1*0501–DQB1*0201, DR4–DQA1*0301–DQB1*0302 and DR8–DQA1*0401–DQB1*0402. |
| PSS011211 | Colorectal cancer cases were identified through the Finnish Cancer Registry with International Classification of Diseases for Oncology, 3rd Edition (ICD-O-3) codes C18-C20 and from the death registry with ICD-10 codes C18-C20, or ICD-9 codes of 153, 1540 and 154, or ICD-8 codes of 153, 1540 and 1541. | Median = 4.1 years | [ ,
43.9 % Male samples |
Mean = 52.9 years Sd = 18.0 years |
European (Finnish) |
— | FinnGen | — |
| PSS004570 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004571 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004572 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004573 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004574 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004575 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004576 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004577 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004578 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004579 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004580 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004581 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004582 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004583 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004584 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004585 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004586 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004587 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004588 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004589 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS001084 | Moderate Age-Related Diabetes (MARD) vs. controls | — | [
|
— | European | Swedish | ANDIS | — |
| PSS001085 | Moderate Obesity-related Diabetes (MOD) vs. controls | — | [
|
— | European | Swedish | ANDIS | — |
| PSS001086 | Severe Autoimmune Diabetes (SAID) vs. controls | — | [
|
— | European | Swedish | ANDIS | — |
| PSS001087 | Severe Insulin-Deficient Diabetes (SIDD) vs. controls | — | [
|
— | European | Swedish | ANDIS | — |
| PSS001088 | Severe Insulin-Resistant Diabetes (SIRD) vs. controls | — | [
|
— | European | Swedish | ANDIS | — |
| PSS000381 | Control subjects (n = 40) were paediatric general gastroenterology patients whom were negative for coeliac disease by both intestinal biopsy and negative tissue transglutaminase serology. | — | [ ,
48.0 % Male samples |
Mean = 4.9 years Sd = 4.0 years |
NR | — | STOLLERY_CC | — |
| PSS000381 | Diagnosis of coeliac disease was made by a modification of European serological diagnostic guidelines for patients referred to a tertiary paediatric clinic in Alberta, Canada, for consideration of coeliac disease diagnosis | — | [ ,
63.0 % Male samples |
Mean = 8.6 years Sd = 3.9 years |
NR | — | STOLLERY_CC | — |
| PSS000381 | Diagnosis of coeliac disease was made by endoscopy for patients referred to a tertiary paediatric clinic in Alberta, Canada, for consideration of coeliac disease diagnosis | — | [ ,
57.0 % Male samples |
Mean = 7.5 years Sd = 3.8 years |
NR | — | STOLLERY_CC | — |
| PSS000382 | Coeliac disease cases were identified using either hospital admission code and/or self‐reported coeliac disease. | — | [
|
— | European | — | UKB | — |
| PSS001092 | All individuals had cystic fibrosis with either 2 severe CFTR mutations and/or clinically diagnosed exocrine pancreatic insufficiency. Cases are individuals with cystic fibrosis related diabetes (CFRD).Phenotypes were obtained from extracted medical charts and CF Foundation Patient Registry through 2011. CFRD was defined by clinician diagnosis of diabetes plus insulin treatment for at least 1 year. The onset of CFRD was defined as the date at which insulin was started, if it was subsequently continued for at least 1 year. In approximately 50% of the participants, independent laboratory data (such as oral glucose tolerance test or hemoglobin A1c) were able to independently confirm the diagnosis of CFRD. Diabetes data were censored at the last clinic visit or date of solid organ transplant. | — | [ ,
47.04 % Male samples |
Mean = 20.0 years | Not reported | — | CGS, CWRU, FrGMC, JHU, UNC | — |
| PSS008600 | — | — | 6,241 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS001094 | Cases were individuals with liver disease. Of the 1,699 cases, 1,473 had fatty liver disease (FLD) whilst 226 had hepatocellular carcinoma (HCC). Of the 1,473 individuals with FLD, 297 had severe fibrosis and were therefore classified as being within stage 3-4 of FLD. Severe fibrosis was defined in the presence of histological fibrosis F3-F4 (when liver biopsy was available) or in presence of clinical, endoscopic or radiological signs of portal hypertension or cirrhosis, or liver stiffness ≥8.4 kPa evaluated by Fibroscan. Diagnosis of HCC was based on EASL-EORTC Clinical Practice Guidelines. | — | [ ,
57.76 % Male samples |
— | European | — | NR | Cases were obtained from the Nonalcoholic Fatty Liver Disease (NAFLD) Case-Control Cross-Sectional Cohort. |
| PSS001095 | All individuals had liver disease. Of the 158 cases, 72 had cirrhosis whilst 84 had hepatocellular cancer. Diagnosis of HCC was based on EASL-EORTC Clinical Practice Guidelines | — | [ ,
43.59 % Male samples |
— | Not reported | — | NR | — |
| PSS001096 | Cases were individuals with liver disease. Of the 1,628 cases, 1,426 individuals had cirrhosis whilst 202 had hepatocellular cancer (HCC). Cirrhosis was defined as ICD-10 codes I85.0, I85.9, K70.3, K70.4, K72.1, K74.1, K74.2, K74.6, K76.6, K76.7 using hospitalization records (data-field 41270). HCC was defined by combining International Classification of Diseases, Tenth Revision (ICD-10) code C22.0 from both UK cancer registry (data-field 40006), and hospitalization records (data-field 41270). | — | [ ,
46.22 % Male samples |
— | European | — | UKB | — |
| PSS001097 | Cases were individuals with hepatocellular cancer (HCC). HCC was defined by combining International Classification of Diseases, Tenth Revision (ICD-10) code C22.0 from both UK cancer registry (data-field 40006), and hospitalization records (data-field 41270). | — | [
|
— | European | — | UKB | — |
| PSS001098 | All individuals had a body mass index ≥30. Cases were individuals with hepatocellular cancer (HCC). HCC was defined by combining International Classification of Diseases, Tenth Revision (ICD-10) code C22.0 from both UK cancer registry (data-field 40006), and hospitalization records (data-field 41270). | — | [
|
— | European | — | UKB | — |
| PSS008609 | — | — | 6,617 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS001101 | All individuals had no diagnosis of cirrhosis. Cases were individuals with hepatocellular cancer (HCC). HCC was defined by combining International Classification of Diseases, Tenth Revision (ICD-10) code C22.0 from both UK cancer registry (data-field 40006), and hospitalization records (data-field 41270). | — | [
|
— | European | — | UKB | — |
| PSS008610 | — | — | 6,504 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS001103 | All individuals had type 2 diabetes (T2D). Diabetes was defined as individuals having either of following criteria: 1) self-reported type 2 or unspecified diabetes (codes 1220 and 1223 in data-field 20002); 2) ICD10 diagnoses codes E11 and E14 (data-field 41270); 3) insulin treatment or use of oral glucose lowering drugs (data-fields 6153, 6177 and 20003); 4) serum glucose level ≥11.1 mmol/L (200mg/dL); 5) HbA1c ≥ 48 mmol/mol (6.5%). Cases were individuals with hepatocellular cancer (HCC). HCC was defined by combining International Classification of Diseases, Tenth Revision (ICD-10) code C22.0 from both UK cancer registry (data-field 40006), and hospitalization records (data-field 41270). | — | [
|
— | European | — | UKB | — |
| PSS008615 | — | — | 6,300 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008616 | — | — | 6,646 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS001117 | T2D cases were defined as having an ICD-10 code of E11.X or having self-reported T2D in the in- terview. Only cases in which the individuals did not have T2D during the first assessment visit period (2006–2010) but were subsequently fol- lowed up for incident T2D events were considered. | Median = 3.58 years | [ ,
47.81 % Male samples |
— | European | — | UKB | — |
| PSS008654 | — | — | 6,525 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008655 | — | — | 6,233 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008656 | — | — | 6,660 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008658 | — | — | 5,477 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008659 | — | — | 5,445 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008661 | — | — | 5,869 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008662 | — | — | 6,382 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008663 | — | — | 6,543 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008664 | — | — | 6,631 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008665 | — | — | 6,436 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS010014 | PheCode 250.2 (http://phewascatalog.org/); Binary | — | [
|
— | European | — | MGI | — |
| PSS004741 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004742 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004743 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004744 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004745 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS008718 | — | — | 2,442 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS011220 | — | — | [
|
— | European | — | EB | — |
| PSS011224 | — | — | [
|
— | European | — | EB | — |
| PSS011225 | — | — | [
|
— | European | — | EB | — |
| PSS010036 | Field ID: 2443; Binary | — | [
|
— | European | — | UKB | — |
| PSS011231 | K11_IBD_STRICT, ICD10: K50|K51, ICD9: 555|556 | — | [
|
— | European | — | FinnGen | — |
| PSS011235 | T1D, ICD10: E10, ICD9: 250[0|1]1 (exclude E11) | — | [
|
— | European | — | FinnGen | — |
| PSS011236 | T2D, ICD10: E11, ICD9: 250[0|1]0 (exclude E10) | — | [
|
— | European | — | FinnGen | — |
| PSS011515 | — | — | [
|
— | East Asian | — | AllofUs | — |
| PSS011244 | — | — | [
|
— | South Asian | — | G&H | — |
| PSS011515 | — | — | [
|
— | European | — | AllofUs | — |
| PSS011248 | — | — | [
|
— | South Asian | — | G&H | — |
| PSS011249 | — | — | [
|
— | South Asian | — | G&H | — |
| PSS000441 | National registries were used to assess disease incidence. Follow-up ended at first-ever diagnosis of the disease of interest, death or at the end of follow-up on December 31, 2018, whichever came first. Disease endpoints are defined in Table S9. | — | [ ,
47.3 % Male samples |
Mean (Age At Baseline) = 48.0 years | European (Finnish) |
— | FINRISK | FINRISK surveys from 1992, 1997, 2002 and 2007 |
| PSS011260 | — | — | [
|
— | European | — | HUNT | — |
| PSS011264 | — | — | [
|
— | European | — | HUNT | — |
| PSS000448 | National registries were used to assess disease incidence. Follow-up ended at first-ever diagnosis of the disease of interest, death or at the end of follow-up on December 31, 2018, whichever came first. Disease endpoints are defined in Table S9. | — | [ ,
43.7 % Male samples |
Mean (Age At Baseline) = 59.2 years Sd = 16.6 years |
European (Finnish) |
— | FinnGen | — |
| PSS011265 | — | — | [
|
— | European | — | HUNT | — |
| PSS011273 | — | — | [
|
— | European | — | UKB | — |
| PSS011277 | — | — | [
|
— | European | — | UKB | — |
| PSS011278 | — | — | [
|
— | European | — | UKB | — |
| PSS010055 | — | — | 22,608 individuals | — | East Asian | — | KBA, KoGES | — |
| PSS011288 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS011291 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS011295 | — | — | 1,798 individuals | — | Not reported | — | NR | StartRight |
| PSS011296 | 22,667 sibling pairs | — | 45,334 individuals | — | European | — | UKB | — |
| PSS006886 | — | — | 673 individuals | — | African unspecified | — | UKB | — |
| PSS006887 | — | — | 86 individuals | — | East Asian | — | UKB | — |
| PSS006888 | — | — | 1,059 individuals | — | European | non-white British ancestry | UKB | — |
| PSS006889 | — | — | 1,335 individuals | — | South Asian | — | UKB | — |
| PSS006890 | — | — | 3,195 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS011299 | T2D ICD-10 code E11 | Median = 12.55 years IQR = [11.72, 13.27] years |
395,809 individuals, 45.8 % Male samples |
Mean = 56.7 years Sd = 8.0 years |
European | — | UKB | — |
| PSS011301 | — | — | [
|
— | South Asian (Indian) |
— | WellGen | — |
| PSS011302 | — | — | [
|
— | South Asian (Indian) |
— | WellGen | — |
| PSS011303 | — | — | [
|
— | South Asian (Indian) |
— | WellGen | — |
| PSS011304 | — | — | [
|
— | South Asian (Indian) |
— | WellGen | — |
| PSS011305 | — | — | [
|
— | South Asian (Indian) |
— | WellGen | — |
| PSS008826 | — | — | 3,757 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008834 | — | — | 3,905 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008835 | — | — | 3,862 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008840 | — | — | 3,490 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008841 | — | — | 3,896 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS010076 | C18, C19, C20 | — | [
|
— | European (British) |
— | UKB | Controls were samples without any cancer diagnosis or self-reported cancer |
| PSS010077 | C15, histology was one of the followings: Adenocarcinoma, NOS; Adenocarcinoma, intestinal type; Adenocarcinoma in tubulovillous adenoma | — | [
|
— | European (British) |
— | UKB | Controls were samples without any cancer diagnosis or self-reported cancer |
| PSS011306 | — | — | 5,024 individuals, 40.0 % Male samples |
— | East Asian (Chinese) |
— | Wuxi NCDs | — |
| PSS010092 | — | — | [
|
— | European | — | CORSA | — |
| PSS010093 | — | — | [
|
— | East Asian (Chinese) |
— | NR | JSCRC |
| PSS010094 | — | — | 355,543 individuals | — | European | — | UKB | — |
| PSS008877 | — | — | 3,836 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008878 | — | — | 3,648 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008879 | — | — | 3,924 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008881 | — | — | 3,465 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008882 | — | — | 3,455 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008884 | — | — | 3,630 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008885 | — | — | 3,762 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008886 | — | — | 3,837 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008887 | — | — | 3,912 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008888 | — | — | 3,852 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS011326 | — | — | [ ,
56.4 % Male samples |
Mean = 60.9 years Sd = 6.15 years |
European, Asian unspecified, African unspecified, East Asian, Not reported | European (>97%), Asian unspecified, African unspecified, East Asian, Not reported | UKB | — |
| PSS010101 | — | — | [ ,
0.0 % Male samples |
— | South Asian | — | BiB, START | 70% validation set from each cohort |
| PSS011327 | — | — | [ ,
44.9 % Male samples |
Mean = 54.9 years Sd = 7.9 years |
European, Asian unspecified, African unspecified, East Asian, Not reported | European (>95%), Asian unspecified, African unspecified, East Asian, Not reported | UKB | — |
| PSS011328 | — | — | 133,830 individuals, 0.0 % Male samples |
— | European (British) |
— | UKB | — |
| PSS011329 | — | — | 115,207 individuals, 100.0 % Male samples |
— | European (British) |
— | UKB | — |
| PSS011332 | — | — | [
|
— | European | — | BioVU | — |
| PSS011333 | — | — | [
|
— | European | — | UKB | — |
| PSS011334 | — | — | [
|
— | European | — | BioVU | — |
| PSS011335 | — | — | [
|
— | European | — | UKB | — |
| PSS008938 | — | — | 526 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS010128 | Colorectal cancer identified through self-report at UK Biobank study enrolment visit and ICD-9 (153, 154.0, 154.1) and ICD-10 (C18-C20) codes in linked cancer and death registries and hospital data. | Median = 7.0 years | [
|
Median = 57.0 years | Other, NR | All ancestral backgrounds within UKB | UKB | Cohort for integrated model development in women |
| PSS010129 | Colorectal cancer identified through self-report at UK Biobank study enrolment visit and ICD-9 (153, 154.0, 154.1) and ICD-10 (C18-C20) codes in linked cancer and death registries and hospital data. | Median = 7.0 years | [
|
Median = 58.0 years | Other, NR | All ancestral backgrounds within UKB | UKB | Cohort for integrated model development in men |
| PSS010130 | Colorectal cancer identified through self-report at UK Biobank study enrolment visit and ICD-9 (153, 154.0, 154.1) and ICD-10 (C18-C20) codes in linked cancer and death registries and hospital data. | — | [
|
— | European (British) |
— | UKB | Cohort for logistic regression model testing |
| PSS010131 | Colorectal cancer identified through self-report at UK Biobank study enrolment visit and ICD-9 (153, 154.0, 154.1) and ICD-10 (C18-C20) codes in linked cancer and death registries and hospital data. | — | [
|
— | European (British) |
— | UKB | Cohort for logistic regression model testing |
| PSS010132 | Colorectal cancer identified through self-report at UK Biobank study enrolment visit and ICD-9 (153, 154.0, 154.1) and ICD-10 (C18-C20) codes in linked cancer and death registries and hospital data. | — | [
|
— | European | Scottish UKB participants self-identifying as "British", "Irish", "white" or "any other white background|" | UKB | Cohort for logistic regression model validation (European populations) |
| PSS010133 | Colorectal cancer identified through self-report at UK Biobank study enrolment visit and ICD-9 (153, 154.0, 154.1) and ICD-10 (C18-C20) codes in linked cancer and death registries and hospital data. | Median = 7.0 years | [
|
— | European | Scottish UKB participants self-identifying as "British", "Irish", "white" or "any other white background|" | UKB | Cohort for cox regression model validation (European populations) |
| PSS010134 | Colorectal cancer identified through self-report at UK Biobank study enrolment visit and ICD-9 (153, 154.0, 154.1) and ICD-10 (C18-C20) codes in linked cancer and death registries and hospital data. | — | [
|
— | Other, NR | Scottish UKB participants self-identifying as diverse ethnic groups other than "British", "Irish", "white" or "any other white background|" | UKB | Cohort for logistic regression model validation (minority ethnic population) |
| PSS010135 | Colorectal cancer identified through self-report at UK Biobank study enrolment visit and ICD-9 (153, 154.0, 154.1) and ICD-10 (C18-C20) codes in linked cancer and death registries and hospital data. | Median = 7.0 years | [
|
— | Other, NR | Scottish UKB participants self-identifying as diverse ethnic groups other than "British", "Irish", "white" or "any other white background|" | UKB | Cohort for cox regression model validation (minority ethnic population) |
| PSS011353 | — | Median = 1.12 years | [ ,
46.46 % Male samples |
— | European | — | UKB | — |
| PSS010138 | — | — | 66,282 individuals, 42.3 % Male samples |
Median = 63.0 years | European | — | GERA | — |
| PSS010144 | — | — | [
|
— | European | — | UKB | — |
| PSS011360 | — | — | 2,676 individuals, 32.47 % Male samples |
Mean = 54.0 years Sd = 11.8 years |
East Asian (Chinese) |
— | WHZH | — |
| PSS010150 | — | — | [
|
— | European | — | UKB | — |
| PSS011364 | — | — | 56,192 individuals | — | European | — | UKB | — |
| PSS010154 | — | — | [
|
— | European | — | UKB | — |
| PSS011366 | — | — | [ ,
44.0 % Male samples |
— | European (Finnish) |
— | FinnGen | — |
| PSS010157 | — | — | [
|
Mean = 42.3 years | Hispanic or Latin American (Mexican) |
— | METSB | — |
| PSS010176 | — | — | [
|
— | European | — | NR | Inter- Lymph Consortium |
| PSS011386 | — | — | 3,025 individuals | — | Not reported | — | BLITZ | — |
| PSS009046 | — | — | 3,922 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS009055 | — | — | 4,121 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS009056 | — | — | 4,074 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS009061 | — | — | 3,954 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS009062 | — | — | 4,121 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS011395 | — | Mean = 8.1 years | 357,419 individuals | — | European (White British) |
— | UKB | — |
| PSS011399 | — | — | [
|
— | European | — | ICO, UKBonn | — |
| PSS011407 | — | Mean = 6.8 years IQR = [6.3, 7.3] years |
[ ,
44.0 % Male samples |
Mean = 61.1 years Sd = 7.8 years |
European, Not reported | White European (97.1%) | UKB | — |
| PSS011409 | Cases were individuals with familial/early-onset mismatch repair (MMR)-proficient unrelated colorectal cancer (CRC). Cases fulfilled either the Amsterdam I/ Amsterdam II criteria or the Bethesda guidelines for hereditary nonpolyposis CRC. For the Amsterdam I criteria, individuals had to fulfil the following: have at least three relatives affected with CRC, have at least two successive generations are affected, have at least one person diagnosed before the age of 50 years, have familial adenomatous polyposis excluded and have tumors verified by pathologic examination. For the Amsterdam II criteria, individuals had to fulfil the following: have at least three relatives with an HNPCC-associated cancer (large bowel, endometrium, small bowel, ureter, or renal pelvis, though not including stomach, ovary, brain, bladder, or skin), have one affected person who is a first-degree relative of the other two, have at least two successive generations affected, have at least one person diagnosed before the age of 50 years, have familial adenomatous polyposis excluded and tumors verified by pathologic examination. For the Bethesda guidelines for hereditary nonpolyposis CRC criteria, inidividuals had to fulfil at least one of the following: CRC < age 50 years, synchronous or metachronous colorectal or other HNPCC-associated tumors regardless of age, CRC with microsatellite instability-positive morphology < age 60 years, CRC with one or more first-degree relatives with CRC or other HNPCC-related tumor, with one of the cancers < age 50 years or CRC with two or more first- or second-degree relatives with CRC or other hereditary nonpolyposis colon cancer-related tumor (endometrial, stomach, ovarian, cervical, esophageal, leukemia, thyroid, bladder, ureter and renal pelvis, biliary tract, small bowel, breast, pancreas, liver, larynx, bronchus, lung, and brain (glioblastoma), sebaceous gland adenomas, and keratoacanthomas), regardless of age. | — | [ ,
51.97 % Male samples |
— | European | — | CRCGEN | Cases were obtained from the Hereditary Cancer Program of the Catalan Institute of Oncology |
| PSS011410 | Cases were individuals with sporadic colorectal cancer (CRC). | — | [ ,
56.53 % Male samples |
— | European | — | CRCGEN | — |
| PSS009100 | — | — | 4,045 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS009101 | — | — | 3,868 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS009102 | — | — | 4,136 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS009104 | — | — | 3,520 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS009105 | — | — | 3,509 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS009107 | — | — | 3,730 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS009108 | — | — | 4,008 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS009109 | — | — | 4,060 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS009110 | — | — | 4,121 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS009111 | — | — | 3,998 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS011413 | — | — | [ ,
43.0 % Male samples |
— | European | — | CARTaGENE | — |
| PSS011414 | — | — | [ ,
42.0 % Male samples |
— | African unspecified | — | UKB | — |
| PSS011415 | — | — | [ ,
53.0 % Male samples |
— | South Asian | — | UKB | — |