Trait: digestive system disease

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
  • Cholera Infantum
  • DIGESTIVE SYSTEM DIS
  • DISEASES OF THE DIGESTIVE SYSTEM
  • Digestive System Diseases
  • Digestive system diseases NOS
  • Digestive system diseases NOS (disorder)
  • Disease of digestive system
  • Disease of digestive system (disorder)
  • Disease of digestive system, NOS
  • Disease, Digestive System
  • Disease, Gastrointestinal
  • Diseases, Digestive System
  • Diseases, Gastrointestinal
  • Disorder of digestive system
  • Disorder of digestive system (disorder)
  • Disorder, Functional Gastrointestinal
  • Disorders, Functional Gastrointestinal
  • Functional Gastrointestinal Disorder
  • Functional Gastrointestinal Disorders
  • Functional digestive disorders, not elsewhere classified
  • GASTROINTESTINAL DIS
  • GIT diseases
  • Gastrointestinal Disease
  • Gastrointestinal Diseases
  • Gastrointestinal Disorder, Functional
  • Gastrointestinal Disorders, Functional
  • Gastrointestinal and digestive disorder
  • Infantum, Cholera
  • OTHER DISEASES OF DIGESTIVE SYSTEM
  • OTHER DISEASES OF INTESTINES AND PERITONEUM
  • Other diseases of the intestines and peritoneum
  • Other diseases of the intestines and peritoneum (disorder)
  • Other disorders of gallbladder
  • Other disorders of intestine
  • Other disorders of intestine (disorder)
  • Other gallbladder disorders
  • Other gallbladder disorders (disorder)
  • Other gallbladder disorders NOS
  • Other gallbladder disorders NOS (disorder)
  • Other intestinal disorders NOS
  • Other intestinal disorders NOS (disorder)
  • Other intestine disorders
  • Other specified disorders of rectum and anus
  • POSTOP GI FUNCT DIS NEC
  • RECTAL & ANAL DIS NEC
  • System Disease, Digestive
  • System Diseases, Digestive
  • [X]Other diseases of intestines
  • [X]Other diseases of intestines (disorder)
  • [X]Other diseases of the digestive system
  • [X]Other diseases of the digestive system (disorder)
  • [X]Other specified diseases of anus and rectum
  • [X]Other specified diseases of anus and rectum (disorder)
  • alimentary system disease
  • digestive disease
  • digestive system disease
  • digestive system disease or disorder
  • digestive system disorder
  • disease of digestive system
  • disease or disorder of digestive system
  • disorder of digestive system
  • gastroenterological system disease
  • gastroenterological system disorder
  • gastroenteropathy
  • gastrointestinal disease
  • gastrointestinal disorder
  • gastrointestinal system disease
  • gastrointestinal system disorder
  • git disease
  • intestinal disease
  • intestinal diseases
  • stomach or intestinal disorder
Mapped terms 24 mapped terms
  • DOID:5295
  • DOID:77
  • ICD10:K31
  • ICD10:K91
  • ICD10:K92
  • ICD10CM:K00-K95
  • ICD9:520-579.99
  • ICD9:560-569.99
  • ICD9:564
  • ICD9:564.4
  • ICD9:569
  • ICD9:569.4
  • ICD9:569.49
  • ICD9:570-579.99
  • ICD9:575
  • ICD9:V47.3
  • MESH:D005767
  • MONDO:0004335
  • MeSH:D004066
  • MeSH:D005767
  • MeSH:D007410
  • NCIT:C2990
  • SCTID:53619000
  • SNOMEDCT:53619000
Child trait(s) 40 child traits

Associated Polygenic Score(s)

Filter PGS by Participant Ancestry
Individuals included in:
G - Source of Variant Associations (GWAS)
D - Score Development/Training
E - PGS Evaluation
List of ancestries includes:
Display options:
Ancestry legend
Multi-ancestry (including European)
Multi-ancestry (excluding European)
African
East Asian
South Asian
Additional Asian Ancestries
European
Greater Middle Eastern
Hispanic or Latin American
Additional Diverse Ancestries
Not Reported
Note: This table shows all PGS for "digestive system disease" and any child terms of this trait in the EFO hierarchy by default.
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 - Check Terms/Licenses
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 - Check Terms/Licenses
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 - Check Terms/Licenses
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 - Check Terms/Licenses
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 - Check Terms/Licenses
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 - Check Terms/Licenses
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 - Check Terms/Licenses
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 - Check Terms/Licenses
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 - Check Terms/Licenses
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 - Check Terms/Licenses
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 - Check Terms/Licenses
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
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

Performance Metrics

Disclaimer: The performance metrics are displayed as reported by the source studies. It is important to note that metrics are not necessarily comparable with each other. For example, metrics depend on the sample characteristics (described by the PGS Catalog Sample Set [PSS] ID), phenotyping, and statistical modelling. Please refer to the source publication for additional guidance on performance.

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
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
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]
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
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
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
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
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
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.
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.
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.
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
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
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]
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
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
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
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)
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)
: 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)
: 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)
: 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)
: 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] PC1-10
PPM002336 PGS000850
(T2D_Insulin_Action)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.14 [1.07, 1.22] PC1-10
PPM002338 PGS000851
(T2D_Insulin_Action_Secretion)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 1.24 [1.12, 1.37] PC1-10
PPM002339 PGS000851
(T2D_Insulin_Action_Secretion)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.23 [1.15, 1.32] PC1-10
PPM002340 PGS000851
(T2D_Insulin_Action_Secretion)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.04 [0.97, 1.11] PC1-10
PPM002341 PGS000851
(T2D_Insulin_Action_Secretion)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.19 [1.12, 1.28] PC1-10
PPM002342 PGS000851
(T2D_Insulin_Action_Secretion)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 1.19 [1.13, 1.26] PC1-10
PPM002343 PGS000852
(T2D_Insulin_Secretion_1)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 1.01 [0.91, 1.12] PC1-10
PPM002344 PGS000852
(T2D_Insulin_Secretion_1)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.31 [1.22, 1.41] PC1-10
PPM002345 PGS000852
(T2D_Insulin_Secretion_1)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.04 [0.97, 1.12] PC1-10
PPM002347 PGS000852
(T2D_Insulin_Secretion_1)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 1.29 [1.22, 1.37] PC1-10
PPM002346 PGS000852
(T2D_Insulin_Secretion_1)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.26 [1.18, 1.35] PC1-10
PPM002348 PGS000853
(T2D_Insulin_Secretion_2)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 0.99 [0.9, 1.1] PC1-10
PPM002349 PGS000853
(T2D_Insulin_Secretion_2)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.26 [1.18, 1.36] PC1-10
PPM002350 PGS000853
(T2D_Insulin_Secretion_2)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.02 [0.95, 1.09] PC1-10
PPM002351 PGS000853
(T2D_Insulin_Secretion_2)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.18 [1.11, 1.27] PC1-10
PPM002352 PGS000853
(T2D_Insulin_Secretion_2)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 1.23 [1.17, 1.3] PC1-10
PPM002353 PGS000854
(T2D_BetaCell)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 1.0 [0.91, 1.11] PC1-10
PPM002354 PGS000854
(T2D_BetaCell)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.32 [1.23, 1.42] PC1-10
PPM002355 PGS000854
(T2D_BetaCell)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.01 [0.94, 1.08] PC1-10
PPM002357 PGS000854
(T2D_BetaCell)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 1.27 [1.2, 1.34] PC1-10
PPM002356 PGS000854
(T2D_BetaCell)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.21 [1.13, 1.3] PC1-10
PPM002358 PGS000855
(T2D_Lipodystrophy)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 1.12 [1.01, 1.25] PC1-10
PPM002359 PGS000855
(T2D_Lipodystrophy)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.23 [1.15, 1.33] PC1-10
PPM002360 PGS000855
(T2D_Lipodystrophy)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.15 [1.07, 1.24] PC1-10
PPM002361 PGS000855
(T2D_Lipodystrophy)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.14 [1.06, 1.22] PC1-10
PPM002362 PGS000855
(T2D_Lipodystrophy)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 1.18 [1.11, 1.24] PC1-10
PPM002363 PGS000856
(T2D_LiverLipids)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 1.35 [1.22, 1.51] PC1-10
PPM002364 PGS000856
(T2D_LiverLipids)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.01 [0.94, 1.08] PC1-10
PPM002366 PGS000856
(T2D_LiverLipids)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.02 [0.95, 1.09] PC1-10
PPM002367 PGS000856
(T2D_LiverLipids)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 0.95 [0.9, 1.01] PC1-10
PPM002365 PGS000856
(T2D_LiverLipids)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 0.97 [0.91, 1.05] PC1-10
PPM002368 PGS000857
(T2D_Obesity)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 1.07 [0.97, 1.19] PC1-10
PPM002369 PGS000857
(T2D_Obesity)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.08 [1.01, 1.16] PC1-10
PPM002370 PGS000857
(T2D_Obesity)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.13 [1.05, 1.22] PC1-10
PPM002371 PGS000857
(T2D_Obesity)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.19 [1.11, 1.27] PC1-10
PPM002372 PGS000857
(T2D_Obesity)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 1.04 [0.99, 1.1] PC1-10
PPM002373 PGS000858
(T2D_Proinsulin)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 0.94 [0.85, 1.04] PC1-10
PPM002374 PGS000858
(T2D_Proinsulin)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.14 [1.06, 1.22] PC1-10
PPM002376 PGS000858
(T2D_Proinsulin)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.06 [0.99, 1.13] PC1-10
PPM002377 PGS000858
(T2D_Proinsulin)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 1.1 [1.04, 1.16] PC1-10
PPM002375 PGS000858
(T2D_Proinsulin)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 0.93 [0.87, 1.0] PC1-10
PPM002403 PGS000864
(T2D-gPRS)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 1.42 [1.28, 1.58] PC1-10
PPM002404 PGS000864
(T2D-gPRS)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.93 [1.79, 2.09] PC1-10
PPM002406 PGS000864
(T2D-gPRS)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 2.12 [1.96, 2.29] PC1-10
PPM002407 PGS000864
(T2D-gPRS)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 1.59 [1.5, 1.69] PC1-10
PPM002405 PGS000864
(T2D-gPRS)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.56 [1.45, 1.69] PC1-10
PPM002413 PGS000868
(T2D_221)
PSS001092|
Ancestry Not Reported|
5,740 individuals
PGP000214 |
Aksit MA et al. J Clin Endocrinol Metab (2020)
Reported Trait: Cystic-fibrosis related diabetes HR: 1.285 PCs(1-4), site of recruitment
PPM002414 PGS000869
(T1D_48)
PSS001092|
Ancestry Not Reported|
5,740 individuals
PGP000214 |
Aksit MA et al. J Clin Endocrinol Metab (2020)
Reported Trait: Cystic-fibrosis related diabetes HR: 1.077 PCs(1-4), site of recruitment
PPM002418 PGS000872
(PRS-5)
PSS001096|
European Ancestry|
364,048 individuals
PGP000215 |
Bianco C et al. J Hepatol (2020)
Reported Trait: Cirrhosis OR: 4.4 [3.5, 5.6]
PPM002420 PGS000872
(PRS-5)
PSS001096|
European Ancestry|
364,048 individuals
PGP000215 |
Bianco C et al. J Hepatol (2020)
Reported Trait: Cirrhosis OR: 4.5 [3.6, 5.7] Age, sex, body mass index, type 2 diabetes, PCs(1-10), array batch, assessment centre
PPM002432 PGS000872
(PRS-5)
PSS001094|
European Ancestry|
2,564 individuals
PGP000215 |
Bianco C et al. J Hepatol (2020)
Reported Trait: Severe fibrosis in individuals within stage F3-F4 of fatty liver disease OR: 9.4 [5.4, 16.2] Age, sex, body mass index, type 2 diabetes
PPM002419 PGS000872
(PRS-5)
PSS001096|
European Ancestry|
364,048 individuals
PGP000215 |
Bianco C et al. J Hepatol (2020)
Reported Trait: Hepatocellular carcinoma OR: 11.9 [6.6, 21.3]
PPM002421 PGS000872
(PRS-5)
PSS001096|
European Ancestry|
364,048 individuals
PGP000215 |
Bianco C et al. J Hepatol (2020)
Reported Trait: Hepatocellular carcinoma OR: 11.7 [6.54, 21.0] Age, sex, body mass index, type 2 diabetes, PCs(1-10), array batch, assessment centre
PPM002422 PGS000872
(PRS-5)
PSS001096|
European Ancestry|
364,048 individuals
PGP000215 |
Bianco C et al. J Hepatol (2020)
Reported Trait: Hepatocellular carcinoma OR: 4.8 [2.6, 8.9] Age, sex, body mass index, type 2 diabetes, PCs(1-10), array batch, assessment centre, diagnosis of cirrhosis
PPM002428 PGS000872
(PRS-5)
PSS001094|
European Ancestry|
2,564 individuals
PGP000215 |
Bianco C et al. J Hepatol (2020)
Reported Trait: Fatty liver disease OR: 9.0 [6.0, 13.4]
PPM002429 PGS000872
(PRS-5)
PSS001094|
European Ancestry|
2,564 individuals
PGP000215 |
Bianco C et al. J Hepatol (2020)
Reported Trait: Severe fibrosis in individuals within stage F3-F4 of fatty liver disease OR: 12.6 [8.2, 19.3]
PPM002430 PGS000872
(PRS-5)
PSS001094|
European Ancestry|
2,564 individuals
PGP000215 |
Bianco C et al. J Hepatol (2020)
Reported Trait: Hepatocellular carcinoma OR: 9.1 [5.2, 16.0]
PPM002431 PGS000872
(PRS-5)
PSS001094|
European Ancestry|
2,564 individuals
PGP000215 |
Bianco C et al. J Hepatol (2020)
Reported Trait: Fatty liver disease OR: 10.7 [6.6, 17.3] Age, sex, body mass index, type 2 diabetes
PPM002433 PGS000872
(PRS-5)
PSS001094|
European Ancestry|
2,564 individuals
PGP000215 |
Bianco C et al. J Hepatol (2020)
Reported Trait: Hepatocellular carcinoma OR: 3.3 [1.6, 6.9] Age, sex, body mass index, type 2 diabetes
PPM002440 PGS000872
(PRS-5)
PSS001094|
European Ancestry|
2,564 individuals
PGP000215 |
Bianco C et al. J Hepatol (2020)
Reported Trait: Hepatocellular carcinoma OR: 2.9 [2.1, 3.8] AUROC: 0.65 Age, sex, body mass index, type 2 diabetes Only 2,245 participants were available for this analysis.
PPM002443 PGS000872
(PRS-5)
PSS001097|
European Ancestry|
356,943 individuals
PGP000215 |
Bianco C et al. J Hepatol (2020)
Reported Trait: Hepatocellular carcinoma OR: 3.4 [2.5, 4.7] AUROC: 0.63 Age, sex, body mass index, type 2 diabetes, PCs(1-10), array batch, assessment centre PRS-5 was treated as a binary variable with a cutoff of ≥0.495
PPM002445 PGS000872
(PRS-5)
PSS001101|
European Ancestry|
355,450 individuals
PGP000215 |
Bianco C et al. J Hepatol (2020)
Reported Trait: Hepatocellular carcinoma in individuals with no cirrhosis OR: 1.9 [1.1, 3.2] AUROC: 0.54 Age, sex, body mass index, type 2 diabetes, PCs(1-10), array batch, assessment centre PRS-5 was treated as a binary variable with a cutoff of ≥0.495
PPM002447 PGS000872
(PRS-5)
PSS001098|
European Ancestry|
85,890 individuals
PGP000215 |
Bianco C et al. J Hepatol (2020)
Reported Trait: Hepatocellular carcinoma in individuals with a body mass index ≥30 OR: 5.5 [3.6, 8.5] AUROC: 0.69 Age, sex, body mass index, type 2 diabetes, PCs(1-10), array batch, assessment centre PRS-5 was treated as a binary variable with a cutoff of ≥0.495
PPM002449 PGS000872
(PRS-5)
PSS001103|
European Ancestry|
25,039 individuals
PGP000215 |
Bianco C et al. J Hepatol (2020)
Reported Trait: Hepatocellular carcinoma in individuals with type 2 diabetes OR: 4.6 [2.9, 7.3] AUROC: 0.71 Age, sex, body mass index, type 2 diabetes, PCs(1-10), array batch, assessment centre PRS-5 was treated as a binary variable with a cutoff of ≥0.495
PPM002451 PGS000872
(PRS-5)
PSS001095|
Ancestry Not Reported|
429 individuals
PGP000215 |
Bianco C et al. J Hepatol (2020)
Reported Trait: Hepatocellular carcinoma OR: 8.61 [3.31, 22.37] AUROC: 0.65
PPM002453 PGS000872
(PRS-5)
PSS001095|
Ancestry Not Reported|
429 individuals
PGP000215 |
Bianco C et al. J Hepatol (2020)
Reported Trait: Hepatocellular carcinoma OR: 6.36 [1.67, 24.31] Age, sex, body mass index, type 2 diabetes
PPM002455 PGS000872
(PRS-5)
PSS001095|
Ancestry Not Reported|
429 individuals
PGP000215 |
Bianco C et al. J Hepatol (2020)
Reported Trait: Hepatocellular carcinoma OR: 2.4 [1.19, 4.83] PRS-5 was treated as a binary variable with a cutoff of ≥0.495
PPM007743 PGS000996
(GBE_HC262)
PSS004389|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Diverticular disease/diverticulitis AUROC: 0.86271 [0.73099, 0.99443] : 0.12936
Incremental AUROC (full-covars): 0.00213
PGS R2 (no covariates): 0.00894
PGS AUROC (no covariates): 0.62053 [0.46342, 0.77764]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007744 PGS000996
(GBE_HC262)
PSS004390|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Diverticular disease/diverticulitis AUROC: 0.91481 [0.74874, 1.0] : 0.2785
Incremental AUROC (full-covars): 0.00029
PGS R2 (no covariates): 0.03618
PGS AUROC (no covariates): 0.74736 [0.4992, 0.99551]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007745 PGS000996
(GBE_HC262)
PSS004391|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Diverticular disease/diverticulitis AUROC: 0.70041 [0.67086, 0.72996] : 0.04948
Incremental AUROC (full-covars): 0.0039
PGS R2 (no covariates): 0.00095
PGS AUROC (no covariates): 0.52419 [0.48988, 0.55849]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007746 PGS000996
(GBE_HC262)
PSS004392|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Diverticular disease/diverticulitis AUROC: 0.80455 [0.70545, 0.90364] : 0.1
Incremental AUROC (full-covars): 0.00844
PGS R2 (no covariates): 0.00928
PGS AUROC (no covariates): 0.62862 [0.53202, 0.72522]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007747 PGS000996
(GBE_HC262)
PSS004393|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Diverticular disease/diverticulitis AUROC: 0.67555 [0.65884, 0.69227] : 0.03898
Incremental AUROC (full-covars): 0.00841
PGS R2 (no covariates): 0.00372
PGS AUROC (no covariates): 0.55186 [0.53326, 0.57047]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007748 PGS000997
(GBE_HC1106)
PSS004124|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE diverticular disease of intestine AUROC: 0.70831 [0.67789, 0.73873] : 0.07998
Incremental AUROC (full-covars): -0.0081
PGS R2 (no covariates): 0.00158
PGS AUROC (no covariates): 0.52939 [0.49423, 0.56454]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007749 PGS000997
(GBE_HC1106)
PSS004125|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE diverticular disease of intestine AUROC: 0.75551 [0.65982, 0.85119] : 0.08781
Incremental AUROC (full-covars): -0.01168
PGS R2 (no covariates): 0.00059
PGS AUROC (no covariates): 0.52785 [0.41459, 0.64111]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007750 PGS000997
(GBE_HC1106)
PSS004126|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE diverticular disease of intestine AUROC: 0.7155 [0.70514, 0.72586] : 0.10502
Incremental AUROC (full-covars): 0.01733
PGS R2 (no covariates): 0.01777
PGS AUROC (no covariates): 0.59105 [0.57889, 0.60321]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007751 PGS000997
(GBE_HC1106)
PSS004127|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE diverticular disease of intestine AUROC: 0.73365 [0.70818, 0.75911] : 0.09377
Incremental AUROC (full-covars): 0.01275
PGS R2 (no covariates): 0.01222
PGS AUROC (no covariates): 0.57957 [0.54784, 0.6113]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007752 PGS000997
(GBE_HC1106)
PSS004128|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE diverticular disease of intestine AUROC: 0.68053 [0.67412, 0.68694] : 0.07483
Incremental AUROC (full-covars): 0.01974
PGS R2 (no covariates): 0.01533
PGS AUROC (no covariates): 0.5794 [0.57219, 0.58662]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007833 PGS001014
(GBE_HC654)
PSS004585|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE other disorders of pancreatic internal secretion AUROC: 0.65665 [0.58207, 0.73122] : 0.03396
Incremental AUROC (full-covars): -0.00764
PGS R2 (no covariates): 0.00359
PGS AUROC (no covariates): 0.4188 [0.34373, 0.49387]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007834 PGS001014
(GBE_HC654)
PSS004586|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE other disorders of pancreatic internal secretion AUROC: 0.86357 [0.7171, 1.0] : 0.15881
Incremental AUROC (full-covars): -0.01283
PGS R2 (no covariates): 0.02019
PGS AUROC (no covariates): 0.35821 [0.13039, 0.58603]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007835 PGS001014
(GBE_HC654)
PSS004587|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE other disorders of pancreatic internal secretion AUROC: 0.64476 [0.60172, 0.6878] : 0.02426
Incremental AUROC (full-covars): -0.00192
PGS R2 (no covariates): 0.00131
PGS AUROC (no covariates): 0.52076 [0.4675, 0.57402]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007836 PGS001014
(GBE_HC654)
PSS004588|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE other disorders of pancreatic internal secretion AUROC: 0.73516 [0.68282, 0.7875] : 0.07572
Incremental AUROC (full-covars): -0.00172
PGS R2 (no covariates): 0.00033
PGS AUROC (no covariates): 0.50209 [0.4372, 0.56698]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007837 PGS001014
(GBE_HC654)
PSS004589|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE other disorders of pancreatic internal secretion AUROC: 0.63289 [0.60549, 0.66029] : 0.01894
Incremental AUROC (full-covars): 0.01617
PGS R2 (no covariates): 0.00452
PGS AUROC (no covariates): 0.55692 [0.52735, 0.58649]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008580 PGS001174
(GBE_HC1125)
PSS004139|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE cholelithiasis AUROC: 0.69202 [0.6517, 0.73234] : 0.05473
Incremental AUROC (full-covars): 0.01651
PGS R2 (no covariates): 0.00765
PGS AUROC (no covariates): 0.56963 [0.52438, 0.61487]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008581 PGS001174
(GBE_HC1125)
PSS004140|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE cholelithiasis AUROC: 0.69749 [0.6348, 0.76018] : 0.06838
Incremental AUROC (full-covars): 0.01442
PGS R2 (no covariates): 0.00347
PGS AUROC (no covariates): 0.557 [0.48585, 0.62815]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008582 PGS001174
(GBE_HC1125)
PSS004141|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE cholelithiasis AUROC: 0.66706 [0.6514, 0.68272] : 0.05295
Incremental AUROC (full-covars): 0.04311
PGS R2 (no covariates): 0.02808
PGS AUROC (no covariates): 0.62342 [0.60688, 0.63996]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008583 PGS001174
(GBE_HC1125)
PSS004142|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE cholelithiasis AUROC: 0.68516 [0.65563, 0.7147] : 0.05864
Incremental AUROC (full-covars): 0.01084
PGS R2 (no covariates): 0.00661
PGS AUROC (no covariates): 0.55746 [0.52498, 0.58993]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008584 PGS001174
(GBE_HC1125)
PSS004143|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE cholelithiasis AUROC: 0.67421 [0.66558, 0.68284] : 0.05848
Incremental AUROC (full-covars): 0.04052
PGS R2 (no covariates): 0.02571
PGS AUROC (no covariates): 0.61632 [0.60704, 0.62561]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008785 PGS001256
(GBE_HC188)
PSS004334|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Gallstones AUROC: 0.68692 [0.64329, 0.73056] : 0.04974
Incremental AUROC (full-covars): 0.02029
PGS R2 (no covariates): 0.00785
PGS AUROC (no covariates): 0.56814 [0.51821, 0.61807]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008786 PGS001256
(GBE_HC188)
PSS004335|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Gallstones AUROC: 0.67793 [0.60585, 0.75001] : 0.06195
Incremental AUROC (full-covars): 0.00834
PGS R2 (no covariates): 0.00064
PGS AUROC (no covariates): 0.52583 [0.44852, 0.60314]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008787 PGS001256
(GBE_HC188)
PSS004336|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Gallstones AUROC: 0.66809 [0.65163, 0.68454] : 0.05165
Incremental AUROC (full-covars): 0.04397
PGS R2 (no covariates): 0.0275
PGS AUROC (no covariates): 0.62496 [0.60759, 0.64234]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008788 PGS001256
(GBE_HC188)
PSS004337|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Gallstones AUROC: 0.68743 [0.65645, 0.71841] : 0.0581
Incremental AUROC (full-covars): 0.01295
PGS R2 (no covariates): 0.00775
PGS AUROC (no covariates): 0.56733 [0.53369, 0.60096]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008789 PGS001256
(GBE_HC188)
PSS004338|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Gallstones AUROC: 0.67227 [0.66315, 0.68138] : 0.05484
Incremental AUROC (full-covars): 0.04156
PGS R2 (no covariates): 0.02494
PGS AUROC (no covariates): 0.6171 [0.6073, 0.6269]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008938 PGS001288
(GBE_HC95)
PSS004741|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Inflammatory bowel disease AUROC: 0.64251 [0.54711, 0.73791] : 0.05914
Incremental AUROC (full-covars): 0.00245
PGS R2 (no covariates): 0.00027
PGS AUROC (no covariates): 0.52101 [0.42335, 0.61867]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008939 PGS001288
(GBE_HC95)
PSS004742|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Inflammatory bowel disease AUROC: 0.89429 [0.79091, 0.99767] : 0.2051
Incremental AUROC (full-covars): -0.0033
PGS R2 (no covariates): 0.0
PGS AUROC (no covariates): 0.48687 [0.28135, 0.6924]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008940 PGS001288
(GBE_HC95)
PSS004743|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Inflammatory bowel disease AUROC: 0.63478 [0.60168, 0.66787] : 0.02287
Incremental AUROC (full-covars): 0.02492
PGS R2 (no covariates): 0.0102
PGS AUROC (no covariates): 0.58475 [0.55242, 0.61708]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008941 PGS001288
(GBE_HC95)
PSS004744|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Inflammatory bowel disease AUROC: 0.66934 [0.62525, 0.71343] : 0.03759
Incremental AUROC (full-covars): 0.004
PGS R2 (no covariates): 0.00311
PGS AUROC (no covariates): 0.55448 [0.50125, 0.6077]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008942 PGS001288
(GBE_HC95)
PSS004745|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Inflammatory bowel disease AUROC: 0.59461 [0.57544, 0.61378] : 0.01221
Incremental AUROC (full-covars): 0.06405
PGS R2 (no covariates): 0.01191
PGS AUROC (no covariates): 0.59586 [0.5768, 0.61492]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008963 PGS001293
(GBE_HC1123)
PSS004134|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE other diseases of liver AUROC: 0.63246 [0.57311, 0.69181] : 0.03109
Incremental AUROC (full-covars): -0.0062
PGS R2 (no covariates): 0.0
PGS AUROC (no covariates): 0.50545 [0.44895, 0.56196]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008964 PGS001293
(GBE_HC1123)
PSS004135|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE other diseases of liver AUROC: 0.69904 [0.62545, 0.77263] PGS R2 (no covariates): 0.01113
Incremental AUROC (full-covars): 0.02137
: 0.05749
PGS AUROC (no covariates): 0.60324 [0.52305, 0.68342]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008965 PGS001293
(GBE_HC1123)
PSS004136|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE other diseases of liver AUROC: 0.63842 [0.61377, 0.66307] : 0.02524
Incremental AUROC (full-covars): 0.02435
PGS R2 (no covariates): 0.01187
PGS AUROC (no covariates): 0.59189 [0.56464, 0.61913]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008966 PGS001293
(GBE_HC1123)
PSS004137|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE other diseases of liver AUROC: 0.60451 [0.56674, 0.64227] : 0.01731
Incremental AUROC (full-covars): 0.00746
PGS R2 (no covariates): 0.00179
PGS AUROC (no covariates): 0.53523 [0.49417, 0.57629]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008967 PGS001293
(GBE_HC1123)
PSS004138|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE other diseases of liver AUROC: 0.58372 [0.56726, 0.60017] : 0.00961
Incremental AUROC (full-covars): 0.01977
PGS R2 (no covariates): 0.00443
PGS AUROC (no covariates): 0.5536 [0.53634, 0.57086]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008968 PGS001294
(GBE_HC649)
PSS004575|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE non-insulin-dependent diabetes mellitus AUROC: 0.70052 [0.68094, 0.7201] : 0.10493
Incremental AUROC (full-covars): 0.00213
PGS R2 (no covariates): 0.00615
PGS AUROC (no covariates): 0.54526 [0.52378, 0.56673]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008969 PGS001294
(GBE_HC649)
PSS004576|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE non-insulin-dependent diabetes mellitus AUROC: 0.75536 [0.71488, 0.79584] : 0.1242
Incremental AUROC (full-covars): 0.01544
PGS R2 (no covariates): 0.01604
PGS AUROC (no covariates): 0.5808 [0.52621, 0.63538]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008970 PGS001294
(GBE_HC649)
PSS004577|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE non-insulin-dependent diabetes mellitus AUROC: 0.72888 [0.71557, 0.7422] : 0.10344
Incremental AUROC (full-covars): 0.03534
PGS R2 (no covariates): 0.03413
PGS AUROC (no covariates): 0.63582 [0.62119, 0.65045]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008971 PGS001294
(GBE_HC649)
PSS004578|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE non-insulin-dependent diabetes mellitus AUROC: 0.68707 [0.67293, 0.70121] : 0.11343
Incremental AUROC (full-covars): 0.01724
PGS R2 (no covariates): 0.02384
PGS AUROC (no covariates): 0.58532 [0.56986, 0.60078]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008972 PGS001294
(GBE_HC649)
PSS004579|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE non-insulin-dependent diabetes mellitus AUROC: 0.71038 [0.70256, 0.71821] : 0.08854
Incremental AUROC (full-covars): 0.04133
PGS R2 (no covariates): 0.03493
PGS AUROC (no covariates): 0.63323 [0.62453, 0.64194]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008973 PGS001295
(GBE_HC165)
PSS004312|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Type 2 diabetes AUROC: 0.68145 [0.62426, 0.73864] : 0.04466
Incremental AUROC (full-covars): 0.00427
PGS R2 (no covariates): 0.00162
PGS AUROC (no covariates): 0.5359 [0.47698, 0.59482]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008974 PGS001295
(GBE_HC165)
PSS004313|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Type 2 diabetes AUROC: 0.83509 [0.71831, 0.95186] : 0.20575
Incremental AUROC (full-covars): -0.00085
PGS R2 (no covariates): 0.00265
PGS AUROC (no covariates): 0.56328 [0.47919, 0.64736]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008975 PGS001295
(GBE_HC165)
PSS004314|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Type 2 diabetes AUROC: 0.69318 [0.65625, 0.73011] : 0.04603
Incremental AUROC (full-covars): 0.0115
PGS R2 (no covariates): 0.00675
PGS AUROC (no covariates): 0.58258 [0.54116, 0.62401]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008976 PGS001295
(GBE_HC165)
PSS004315|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Type 2 diabetes AUROC: 0.65806 [0.61856, 0.69756] : 0.0392
Incremental AUROC (full-covars): 0.01243
PGS R2 (no covariates): 0.00618
PGS AUROC (no covariates): 0.5613 [0.5184, 0.60421]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008977 PGS001295
(GBE_HC165)
PSS004316|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Type 2 diabetes AUROC: 0.68247 [0.66155, 0.70338] : 0.03772
Incremental AUROC (full-covars): 0.01405
PGS R2 (no covariates): 0.00633
PGS AUROC (no covariates): 0.57592 [0.55208, 0.59975]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008978 PGS001296
(GBE_HC648)
PSS004570|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE insulin-dependent diabetes mellitus AUROC: 0.66885 [0.62172, 0.71599] : 0.04054
Incremental AUROC (full-covars): -0.01128
PGS R2 (no covariates): 0.00021
PGS AUROC (no covariates): 0.51906 [0.4689, 0.56923]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008979 PGS001296
(GBE_HC648)
PSS004571|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE insulin-dependent diabetes mellitus AUROC: 0.89264 [0.80447, 0.98081] : 0.19006
Incremental AUROC (full-covars): -0.01413
PGS R2 (no covariates): 0.00422
PGS AUROC (no covariates): 0.43531 [0.15162, 0.71901]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008980 PGS001296
(GBE_HC648)
PSS004572|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE insulin-dependent diabetes mellitus AUROC: 0.70536 [0.66494, 0.74577] : 0.0607
Incremental AUROC (full-covars): 0.12077
PGS R2 (no covariates): 0.05496
PGS AUROC (no covariates): 0.68941 [0.64672, 0.73209]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008981 PGS001296
(GBE_HC648)
PSS004573|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE insulin-dependent diabetes mellitus AUROC: 0.67679 [0.6379, 0.71568] : 0.04266
Incremental AUROC (full-covars): -0.01593
PGS R2 (no covariates): 0.0016
PGS AUROC (no covariates): 0.54249 [0.49552, 0.58946]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008982 PGS001296
(GBE_HC648)
PSS004574|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE insulin-dependent diabetes mellitus AUROC: 0.65986 [0.63673, 0.68299] : 0.03385
Incremental AUROC (full-covars): 0.06785
PGS R2 (no covariates): 0.02496
PGS AUROC (no covariates): 0.62694 [0.60131, 0.65256]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008983 PGS001297
(GBE_HC337)
PSS004457|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Type 1 diabetes AUROC: 0.78146 [0.64554, 0.91738] : 0.08635
Incremental AUROC (full-covars): -0.05504
PGS R2 (no covariates): 0.00185
PGS AUROC (no covariates): 0.41884 [0.19064, 0.64704]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008984 PGS001297
(GBE_HC337)
PSS004458|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Type 1 diabetes AUROC: 0.79737 [0.708, 0.88674] : 0.11683
Incremental AUROC (full-covars): 0.09636
PGS R2 (no covariates): 0.0912
PGS AUROC (no covariates): 0.77118 [0.67108, 0.87128]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008985 PGS001297
(GBE_HC337)
PSS004459|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Type 1 diabetes AUROC: 0.81031 [0.66359, 0.95703] : 0.06825
Incremental AUROC (full-covars): -0.01908
PGS R2 (no covariates): 6e-05
PGS AUROC (no covariates): 0.53853 [0.37761, 0.69945]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008986 PGS001297
(GBE_HC337)
PSS004460|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Type 1 diabetes AUROC: 0.7643 [0.7041, 0.8245] : 0.06625
Incremental AUROC (full-covars): 0.19149
PGS R2 (no covariates): 0.06103
PGS AUROC (no covariates): 0.76543 [0.70744, 0.82342]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008997 PGS001300
(GBE_BIN21068)
PSS003667|
African Ancestry|
969 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity AUROC: 0.77521 [0.67165, 0.87877] : 0.10494
Incremental AUROC (full-covars): 0.00391
PGS R2 (no covariates): 0.00465
PGS AUROC (no covariates): 0.54048 [0.39518, 0.68579]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008998 PGS001300
(GBE_BIN21068)
PSS003668|
European Ancestry|
9,024 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity AUROC: 0.67118 [0.63561, 0.70676] : 0.04801
Incremental AUROC (full-covars): 0.03638
PGS R2 (no covariates): 0.02217
PGS AUROC (no covariates): 0.58541 [0.54195, 0.62888]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008999 PGS001300
(GBE_BIN21068)
PSS003669|
South Asian Ancestry|
1,145 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity AUROC: 0.78803 [0.69728, 0.87878] : 0.09336
Incremental AUROC (full-covars): 0.00365
PGS R2 (no covariates): 0.00127
PGS AUROC (no covariates): 0.56184 [0.43287, 0.6908]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009000 PGS001300
(GBE_BIN21068)
PSS003670|
European Ancestry|
24,310 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Diagnosed with coeliac disease or gluten sensitivity AUROC: 0.6734 [0.64935, 0.69745] : 0.04185
Incremental AUROC (full-covars): 0.08398
PGS R2 (no covariates): 0.02957
PGS AUROC (no covariates): 0.62888 [0.60094, 0.65683]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009001 PGS001301
(GBE_HC303)
PSS004423|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Malabsorption/coeliac disease AUROC: 0.84259 [0.73437, 0.95081] : 0.12308
Incremental AUROC (full-covars): 0.02463
PGS R2 (no covariates): 0.03018
PGS AUROC (no covariates): 0.68151 [0.48835, 0.87467]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009002 PGS001301
(GBE_HC303)
PSS004424|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Malabsorption/coeliac disease AUROC: 0.81472 [0.7798, 0.84965] : 0.15108
Incremental AUROC (full-covars): 0.1791
PGS R2 (no covariates): 0.14221
PGS AUROC (no covariates): 0.80994 [0.77441, 0.84547]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009003 PGS001301
(GBE_HC303)
PSS004425|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Malabsorption/coeliac disease AUROC: 0.81699 [0.73267, 0.9013] : 0.11397
Incremental AUROC (full-covars): 0.06035
PGS R2 (no covariates): 0.07098
PGS AUROC (no covariates): 0.76239 [0.65258, 0.87221]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009004 PGS001301
(GBE_HC303)
PSS004426|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Malabsorption/coeliac disease AUROC: 0.83351 [0.81372, 0.85329] : 0.14905
Incremental AUROC (full-covars): 0.25775
PGS R2 (no covariates): 0.14224
PGS AUROC (no covariates): 0.82867 [0.80826, 0.84908]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009024 PGS001306
(GBE_HC201)
PSS004339|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Ulcerative colitis AUROC: 0.62904 [0.5093, 0.74878] : 0.04535
Incremental AUROC (full-covars): -0.00864
PGS R2 (no covariates): 0.00044
PGS AUROC (no covariates): 0.51081 [0.37987, 0.64174]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009025 PGS001306
(GBE_HC201)
PSS004340|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Ulcerative colitis AUROC: 0.89429 [0.79357, 0.99502] : 0.20499
Incremental AUROC (full-covars): -0.0033
PGS R2 (no covariates): 2e-05
PGS AUROC (no covariates): 0.49111 [0.35854, 0.62368]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009026 PGS001306
(GBE_HC201)
PSS004341|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Ulcerative colitis AUROC: 0.66162 [0.6277, 0.69554] : 0.03336
Incremental AUROC (full-covars): 0.04247
PGS R2 (no covariates): 0.02036
PGS AUROC (no covariates): 0.63006 [0.5958, 0.66432]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009027 PGS001306
(GBE_HC201)
PSS004342|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Ulcerative colitis AUROC: 0.67522 [0.62537, 0.72506] : 0.03696
Incremental AUROC (full-covars): 0.01011
PGS R2 (no covariates): 0.00545
PGS AUROC (no covariates): 0.56552 [0.50815, 0.62289]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009028 PGS001306
(GBE_HC201)
PSS004343|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Ulcerative colitis AUROC: 0.6157 [0.59481, 0.63659] PGS R2 (no covariates): 0.0193
: 0.01676
Incremental AUROC (full-covars): 0.08728
PGS AUROC (no covariates): 0.62452 [0.60374, 0.6453]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009029 PGS001307
(GBE_HC1102)
PSS004119|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE ulcerative colitis AUROC: 0.62873 [0.51002, 0.74744] : 0.04344
Incremental AUROC (full-covars): -0.00895
PGS R2 (no covariates): 0.00027
PGS AUROC (no covariates): 0.50641 [0.39121, 0.62161]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009030 PGS001307
(GBE_HC1102)
PSS004120|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE ulcerative colitis AUROC: 0.89582 [0.79576, 0.99588] : 0.20607
Incremental AUROC (full-covars): -0.00177
PGS R2 (no covariates): 0.00203
PGS AUROC (no covariates): 0.55433 [0.4473, 0.66136]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009031 PGS001307
(GBE_HC1102)
PSS004121|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE ulcerative colitis AUROC: 0.65578 [0.62353, 0.68804] : 0.03272
Incremental AUROC (full-covars): 0.04212
PGS R2 (no covariates): 0.0169
PGS AUROC (no covariates): 0.6106 [0.57717, 0.64402]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009032 PGS001307
(GBE_HC1102)
PSS004122|
South Asian Ancestry|
7,831 individuals
PGP000244