| 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) |
48 child traits
|
| Polygenic Score ID & Name | PGS Publication ID (PGP) | Reported Trait | Mapped Trait(s) (Ontology) | Number of Variants | Ancestry distribution | Scoring File (FTP Link) |
|---|---|---|---|---|---|---|
| PGS000014 (GPS_T2D) |
PGP000006 | Khera AV et al. Nat Genet (2018) |
Type 2 diabetes | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 risk | 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 | 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) |
Cancer of mouth | 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) |
Cancer of mouth | 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) |
Cancer of tongue | 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) |
Cancer of esophagus | 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) |
Cancer of esophagus | 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) |
Cancer of esophagus | 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) |
Cancer of esophagus | 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) |
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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 II diabetes | 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 I diabetes | 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 | 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 | 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) |
Crohns 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | type 2 diabetes mellitus | 1,068,166 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003867/ScoringFiles/PGS003867.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 | — | — | — |
| 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 | — |
| 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 | — | — | — |
| 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 | — |
| 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 |
— | — | — |
| 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 | — |
| 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 | — |
| 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 | — |
| 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] | — |