Trait: pancreas disease

Experimental Factor Ontology (EFO) Information
Identifier EFO_0009605
Description A non-neoplastic or neoplastic disorder that affects the pancreas. Representative examples of non-neoplastic disorders include pancreatitis and pancreatic insufficiency. Representative examples of neoplastic disorders include cystadenomas, carcinomas, lymphomas, and neuroendocrine neoplasms. [NCIT: C26842]
Trait category
Digestive system disorder
Synonyms 8 synonyms
  • disease of pancreas
  • disease or disorder of pancreas
  • disorder of pancreas
  • pancreas disease
  • pancreas disease or disorder
  • pancreas disorder
  • pancreas problem
  • pancreatic disorder
Mapped terms 10 mapped terms
  • DOID:26
  • ICD10:E16
  • ICD10:K86
  • ICD9:577.8
  • ICD9:577.9
  • MESH:D010182
  • MONDO:0002356
  • MedDRA:10033616
  • NCIT:C26842
  • SCTID:3855007
Child trait(s) 6 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 "pancreas 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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
PGS002308
(PRScsx_T2D)
PGP000331 |
Ge T et al. Genome Med (2022)
Type 2 diabetes type 2 diabetes mellitus 1,259,754
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002308/ScoringFiles/PGS002308.txt.gz
PGS002321
(disease_DIABETES_ANY_DIAGNOSED.BOLT-LMM)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Diabetes (any type) diabetes mellitus 1,109,311
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002321/ScoringFiles/PGS002321.txt.gz
PGS002324
(disease_ENDOCRINE_DIABETES.BOLT-LMM)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Endocrine and diabetes diseases diabetes mellitus,
endocrine system disease
1,109,311
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002324/ScoringFiles/PGS002324.txt.gz
PGS002354
(disease_T2D.BOLT-LMM)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Type 2 diabetes type 2 diabetes mellitus 1,109,311
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002354/ScoringFiles/PGS002354.txt.gz
PGS002379
(disease_T2D.BOLT-LMM-BBJ)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Type 2 diabetes type 2 diabetes mellitus 920,930
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002379/ScoringFiles/PGS002379.txt.gz
PGS002393
(disease_DIABETES_ANY_DIAGNOSED.P+T.0.0001)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Diabetes (any type) diabetes mellitus 3,813
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002393/ScoringFiles/PGS002393.txt.gz
PGS002396
(disease_ENDOCRINE_DIABETES.P+T.0.0001)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Endocrine and diabetes diseases diabetes mellitus,
endocrine system disease
3,681
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002396/ScoringFiles/PGS002396.txt.gz
PGS002426
(disease_T2D.P+T.0.0001)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Type 2 diabetes type 2 diabetes mellitus 3,947
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002426/ScoringFiles/PGS002426.txt.gz
PGS002442
(disease_DIABETES_ANY_DIAGNOSED.P+T.0.001)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Diabetes (any type) diabetes mellitus 15,915
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002442/ScoringFiles/PGS002442.txt.gz
PGS002445
(disease_ENDOCRINE_DIABETES.P+T.0.001)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Endocrine and diabetes diseases diabetes mellitus,
endocrine system disease
15,629
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002445/ScoringFiles/PGS002445.txt.gz
PGS002475
(disease_T2D.P+T.0.001)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Type 2 diabetes type 2 diabetes mellitus 16,275
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002475/ScoringFiles/PGS002475.txt.gz
PGS002491
(disease_DIABETES_ANY_DIAGNOSED.P+T.0.01)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Diabetes (any type) diabetes mellitus 95,066
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002491/ScoringFiles/PGS002491.txt.gz
PGS002494
(disease_ENDOCRINE_DIABETES.P+T.0.01)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Endocrine and diabetes diseases diabetes mellitus,
endocrine system disease
93,293
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002494/ScoringFiles/PGS002494.txt.gz
PGS002524
(disease_T2D.P+T.0.01)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Type 2 diabetes type 2 diabetes mellitus 95,287
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002524/ScoringFiles/PGS002524.txt.gz
PGS002540
(disease_DIABETES_ANY_DIAGNOSED.P+T.1e-06)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Diabetes (any type) diabetes mellitus 598
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002540/ScoringFiles/PGS002540.txt.gz
PGS002543
(disease_ENDOCRINE_DIABETES.P+T.1e-06)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Endocrine and diabetes diseases diabetes mellitus,
endocrine system disease
528
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002543/ScoringFiles/PGS002543.txt.gz
PGS002573
(disease_T2D.P+T.1e-06)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Type 2 diabetes type 2 diabetes mellitus 673
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002573/ScoringFiles/PGS002573.txt.gz
PGS002589
(disease_DIABETES_ANY_DIAGNOSED.P+T.5e-08)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Diabetes (any type) diabetes mellitus 267
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002589/ScoringFiles/PGS002589.txt.gz
PGS002592
(disease_ENDOCRINE_DIABETES.P+T.5e-08)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Endocrine and diabetes diseases diabetes mellitus,
endocrine system disease
187
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002592/ScoringFiles/PGS002592.txt.gz
PGS002622
(disease_T2D.P+T.5e-08)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Type 2 diabetes type 2 diabetes mellitus 293
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002622/ScoringFiles/PGS002622.txt.gz
PGS002638
(disease_DIABETES_ANY_DIAGNOSED.PolyFun-pred)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Diabetes (any type) diabetes mellitus 247,386
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002638/ScoringFiles/PGS002638.txt.gz
PGS002641
(disease_ENDOCRINE_DIABETES.PolyFun-pred)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Endocrine and diabetes diseases diabetes mellitus,
endocrine system disease
256,678
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002641/ScoringFiles/PGS002641.txt.gz
PGS002671
(disease_T2D.PolyFun-pred)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Type 2 diabetes type 2 diabetes mellitus 258,382
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002671/ScoringFiles/PGS002671.txt.gz
PGS002687
(disease_DIABETES_ANY_DIAGNOSED.SBayesR)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Diabetes (any type) diabetes mellitus 923,080
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002687/ScoringFiles/PGS002687.txt.gz
PGS002690
(disease_ENDOCRINE_DIABETES.SBayesR)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Endocrine and diabetes diseases diabetes mellitus,
endocrine system disease
905,637
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002690/ScoringFiles/PGS002690.txt.gz
PGS002720
(disease_T2D.SBayesR)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Type 2 diabetes type 2 diabetes mellitus 911,809
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002720/ScoringFiles/PGS002720.txt.gz
PGS002733
(GRS17_T2D)
PGP000342 |
Pezzilli S et al. Diabetes Metab (2022)
Type 2 diabetes type 2 diabetes mellitus 17
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002733/ScoringFiles/PGS002733.txt.gz
PGS002740
(PRS22_PC)
PGP000347 |
Yuan C et al. Ann Oncol (2022)
Pancreatic cancer pancreatic carcinoma 22
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002740/ScoringFiles/PGS002740.txt.gz

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
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
PPM014801 PGS000024
(GRS2)
PSS009895|
European Ancestry|
1,168 individuals
PGP000338 |
Oram RA et al. Diabetes Care (2022)
|Ext.
Reported Trait: Diabetes autoantibody positive insulin sensitive AUROC: 0.864 [0.823, 0.905]
PPM014803 PGS000024
(GRS2)
PSS009893|
African Ancestry|
366 individuals
PGP000338 |
Oram RA et al. Diabetes Care (2022)
|Ext.
Reported Trait: Diabetes autoantibody positive insulin sensitive AUROC: 0.851 [0.805, 0.897]
PPM014805 PGS000024
(GRS2)
PSS009894|
Hispanic or Latin American Ancestry|
412 individuals
PGP000338 |
Oram RA et al. Diabetes Care (2022)
|Ext.
Reported Trait: Diabetes autoantibody positive insulin sensitive AUROC: 0.935 [0.906, 0.964]
PPM014807 PGS000024
(GRS2)
PSS009896|
Ancestry Not Reported|
99 individuals
PGP000338 |
Oram RA et al. Diabetes Care (2022)
|Ext.
Reported Trait: Diabetes autoantibody positive insulin sensitive AUROC: 0.79 [0.679, 0.902]
PPM000062 PGS000031
(GRSt)
PSS000044|
European Ancestry|
3,471 individuals
PGP000020 |
Vassy JL et al. Diabetes (2014)
Reported Trait: Incident type 2 diabetes cases HR: 1.06 [1.04, 1.08] C-index: 0.906 [0.892, 0.92] age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels Results from the "Clinical model"
PPM000063 PGS000031
(GRSt)
PSS000043|
European Ancestry|
1,650 individuals
PGP000020 |
Vassy JL et al. Diabetes (2014)
Reported Trait: Incident type 2 diabetes cases HR: 1.06 [1.02, 1.1] C-index: 0.853 [0.81, 0.896] age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels Results from the "Clinical model"
PPM000064 PGS000031
(GRSt)
PSS000042|
African Ancestry|
820 individuals
PGP000020 |
Vassy JL et al. Diabetes (2014)
Reported Trait: Incident type 2 diabetes cases HR: 1.05 [1.0, 1.09] C-index: 0.771 [0.727, 0.814] age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels Results from the "Clinical model", SNPs were not weighted by their effect size as the betas were measure in Europeans
PPM000065 PGS000032
(GRSB)
PSS000044|
European Ancestry|
3,471 individuals
PGP000020 |
Vassy JL et al. Diabetes (2014)
Reported Trait: Incident type 2 diabetes cases HR: 1.1 [1.06, 1.14] age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels Results from the "Clinical model"
PPM000066 PGS000032
(GRSB)
PSS000043|
European Ancestry|
1,650 individuals
PGP000020 |
Vassy JL et al. Diabetes (2014)
Reported Trait: Incident type 2 diabetes cases HR: 1.09 [1.02, 1.17] age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels Results from the "Clinical model"
PPM000067 PGS000032
(GRSB)
PSS000042|
African Ancestry|
820 individuals
PGP000020 |
Vassy JL et al. Diabetes (2014)
Reported Trait: Incident type 2 diabetes cases HR: 1.06 [0.99, 1.15] age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels Results from the "Clinical model", SNPs were not weighted by their effect size as the betas were measure in Europeans
PPM002415 PGS000032
(GRSB)
PSS001092|
Ancestry Not Reported|
5,740 individuals
PGP000214 |
Aksit MA et al. J Clin Endocrinol Metab (2020)
|Ext.
Reported Trait: Cystic-fibrosis related diabetes onset HR: 1.192 PCs(1-4), site of recruitment
PPM000068 PGS000033
(GRSIR)
PSS000044|
European Ancestry|
3,471 individuals
PGP000020 |
Vassy JL et al. Diabetes (2014)
Reported Trait: Incident type 2 diabetes cases HR: 0.98 [0.93, 1.04] age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels Results from the "Clinical model"
PPM000069 PGS000033
(GRSIR)
PSS000043|
European Ancestry|
1,650 individuals
PGP000020 |
Vassy JL et al. Diabetes (2014)
Reported Trait: Incident type 2 diabetes cases HR: 1.01 [0.91, 1.12] age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels Results from the "Clinical model"
PPM000070 PGS000033
(GRSIR)
PSS000042|
African Ancestry|
820 individuals
PGP000020 |
Vassy JL et al. Diabetes (2014)
Reported Trait: Incident type 2 diabetes cases HR: 1.06 [0.99, 1.15] age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels Results from the "Clinical model", SNPs were not weighted by their effect size as the betas were measure in Europeans
PPM000080 PGS000036
(gePS_T2D)
PSS000054|
European Ancestry|
324,870 individuals
PGP000024 |
Udler MS et al. Endocr Rev (2019)
|Ext.
Reported Trait: Type 2 diabetes AUROC: 0.66 genotyping array, first 6 PCs of ancestry
PPM000081 PGS000036
(gePS_T2D)
PSS000054|
European Ancestry|
324,870 individuals
PGP000024 |
Udler MS et al. Endocr Rev (2019)
|Ext.
Reported Trait: Type 2 diabetes AUROC: 0.73 age, sex, genotyping array, first 6 PCs of ancestry
PPM014802 PGS000036
(gePS_T2D)
PSS009895|
European Ancestry|
1,168 individuals
PGP000338 |
Oram RA et al. Diabetes Care (2022)
|Ext.
Reported Trait: Diabetes autoantibody positive insulin sensitive AUROC: 0.661 [0.606, 0.716]
PPM014804 PGS000036
(gePS_T2D)
PSS009893|
African Ancestry|
366 individuals
PGP000338 |
Oram RA et al. Diabetes Care (2022)
|Ext.
Reported Trait: Diabetes autoantibody positive insulin sensitive AUROC: 0.574 [0.506, 0.643]
PPM014806 PGS000036
(gePS_T2D)
PSS009894|
Hispanic or Latin American Ancestry|
412 individuals
PGP000338 |
Oram RA et al. Diabetes Care (2022)
|Ext.
Reported Trait: Diabetes autoantibody positive insulin sensitive AUROC: 0.722 [0.667, 0.778]
PPM014808 PGS000036
(gePS_T2D)
PSS009896|
Ancestry Not Reported|
99 individuals
PGP000338 |
Oram RA et al. Diabetes Care (2022)
|Ext.
Reported Trait: Diabetes autoantibody positive insulin sensitive AUROC: 0.677 [0.532, 0.822]
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
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
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
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
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%
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)
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
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
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.
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
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
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
PPM009122 PGS001327
(GBE_HC221)
PSS004359|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Diabetes AUROC: 0.68586 [0.66802, 0.7037] : 0.09776
Incremental AUROC (full-covars): 0.00638
PGS R2 (no covariates): 0.00926
PGS AUROC (no covariates): 0.55541 [0.53643, 0.5744]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009123 PGS001327
(GBE_HC221)
PSS004360|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Diabetes AUROC: 0.69569 [0.64958, 0.7418] : 0.08294
Incremental AUROC (full-covars): 0.01187
PGS R2 (no covariates): 0.01141
PGS AUROC (no covariates): 0.56178 [0.51127, 0.61228]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009124 PGS001327
(GBE_HC221)
PSS004361|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Diabetes AUROC: 0.70541 [0.69227, 0.71854] : 0.08595
Incremental AUROC (full-covars): 0.04263
PGS R2 (no covariates): 0.03446
PGS AUROC (no covariates): 0.63125 [0.61738, 0.64511]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009125 PGS001327
(GBE_HC221)
PSS004362|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Diabetes AUROC: 0.68746 [0.67395, 0.70097] : 0.11895
Incremental AUROC (full-covars): 0.02618
PGS R2 (no covariates): 0.03527
PGS AUROC (no covariates): 0.60108 [0.5865, 0.61565]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009126 PGS001327
(GBE_HC221)
PSS004363|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Diabetes AUROC: 0.69818 [0.69047, 0.70589] : 0.08111
Incremental AUROC (full-covars): 0.04455
PGS R2 (no covariates): 0.03558
PGS AUROC (no covariates): 0.63112 [0.6228, 0.63945]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009132 PGS001329
(GBE_HC652)
PSS004580|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE unspecified diabetes mellitus AUROC: 0.69503 [0.67407, 0.716] : 0.08972
Incremental AUROC (full-covars): 0.00332
PGS R2 (no covariates): 0.00713
PGS AUROC (no covariates): 0.55713 [0.53377, 0.58048]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009133 PGS001329
(GBE_HC652)
PSS004581|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE unspecified diabetes mellitus AUROC: 0.70891 [0.65305, 0.76477] : 0.09058
Incremental AUROC (full-covars): 0.02211
PGS R2 (no covariates): 0.02321
PGS AUROC (no covariates): 0.60847 [0.55016, 0.66678]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009134 PGS001329
(GBE_HC652)
PSS004582|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE unspecified diabetes mellitus AUROC: 0.72437 [0.70887, 0.73987] : 0.08424
Incremental AUROC (full-covars): 0.03715
PGS R2 (no covariates): 0.02619
PGS AUROC (no covariates): 0.62743 [0.60999, 0.64487]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009135 PGS001329
(GBE_HC652)
PSS004583|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE unspecified diabetes mellitus AUROC: 0.70359 [0.68854, 0.71865] : 0.11885
Incremental AUROC (full-covars): 0.02262
PGS R2 (no covariates): 0.02671
PGS AUROC (no covariates): 0.59807 [0.58121, 0.61493]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009136 PGS001329
(GBE_HC652)
PSS004584|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE unspecified diabetes mellitus AUROC: 0.7046 [0.69521, 0.71399] : 0.0749
Incremental AUROC (full-covars): 0.04078
PGS R2 (no covariates): 0.03024
PGS AUROC (no covariates): 0.63102 [0.62084, 0.64119]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM005189 PGS001357
(T2D_AnnoPred_PRS)
PSS003606|
European Ancestry|
178,138 individuals
PGP000252 |
Ye Y et al. Circ Genom Precis Med (2021)
Reported Trait: Type 2 diabetes AUROC: 0.6446 Age, sex, PCs(1-10)
PPM007030 PGS001371
(GBE_INI2976)
PSS006886|
African Ancestry|
673 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Age diabetes diagnosed : 0.28398 [0.26544, 0.30253]
Incremental R2 (full-covars): -0.00362
PGS R2 (no covariates): 0.00112 [-0.0005, 0.00275]
age, sex, UKB array type, Genotype PCs
PPM007031 PGS001371
(GBE_INI2976)
PSS006887|
East Asian Ancestry|
86 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Age diabetes diagnosed : 0.31131 [0.27489, 0.34772]
Incremental R2 (full-covars): 0.00576
PGS R2 (no covariates): 0.00203 [-0.00223, 0.00629]
age, sex, UKB array type, Genotype PCs
PPM007032 PGS001371
(GBE_INI2976)
PSS006888|
European Ancestry|
1,059 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Age diabetes diagnosed : 0.37828 [0.36879, 0.38778]
Incremental R2 (full-covars): 0.02371
PGS R2 (no covariates): 0.04728 [0.04214, 0.05243]
age, sex, UKB array type, Genotype PCs
PPM007033 PGS001371
(GBE_INI2976)
PSS006889|
South Asian Ancestry|
1,335 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Age diabetes diagnosed : 0.20384 [0.18792, 0.21975]
Incremental R2 (full-covars): -0.00895
PGS R2 (no covariates): 0.00042 [-0.00049, 0.00133]
age, sex, UKB array type, Genotype PCs
PPM007034 PGS001371
(GBE_INI2976)
PSS006890|
European Ancestry|
3,195 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Age diabetes diagnosed : 0.28031 [0.27455, 0.28606]
Incremental R2 (full-covars): 0.02294
PGS R2 (no covariates): 0.03923 [0.03636, 0.0421]
age, sex, UKB array type, Genotype PCs
PPM009277 PGS001781
(T2D_PRSCS)
PSS007684|
European Ancestry|
309,154 individuals
PGP000261 |
Tamlander M et al. Commun Biol (2022)
Reported Trait: Type 2 diabetes (incident and prevalent) OR: 1.59 [1.57, 1.61] AUROC: 0.758 [0.756, 0.761] year of birth, sex, ten first principal components of Finnish ancestry, batch, genotyping array
PPM009281 PGS001781
(T2D_PRSCS)
PSS007685|
European Ancestry|
279,879 individuals
PGP000261 |
Tamlander M et al. Commun Biol (2022)
Reported Trait: Incident type 2 diabetes OR: 1.52 [1.49, 1.55] AUROC: 0.852 [0.849, 0.855] year of birth, sex, ten first principal components of Finnish ancestry, batch, genotyping array
PPM009287 PGS001781
(T2D_PRSCS)
PSS007692|
European Ancestry|
343,672 individuals
PGP000261 |
Tamlander M et al. Commun Biol (2022)
Reported Trait: Prevalent type 2 diabetes OR: 1.75 [1.72, 1.78] AUROC: 0.725 [0.721, 0.729] year of birth, sex
PPM009283 PGS001781
(T2D_PRSCS)
PSS007691|
European Ancestry|
328,115 individuals
PGP000261 |
Tamlander M et al. Commun Biol (2022)
Reported Trait: Incident type 2 diabetes OR: 1.51 [1.48, 1.54] AUROC: 0.669 [0.664, 0.675] year of birth, sex
PPM009285 PGS001781
(T2D_PRSCS)
PSS007686|
European Ancestry|
309,154 individuals
PGP000261 |
Tamlander M et al. Commun Biol (2022)
Reported Trait: Prevalent type 2 diabetes OR: 1.59 [1.57, 1.61] AUROC: 0.81 [0.808, 0.813] year of birth, sex, ten first principal components of Finnish ancestry, batch, genotyping array
PPM009279 PGS001781
(T2D_PRSCS)
PSS007690|
European Ancestry|
343,672 individuals
PGP000261 |
Tamlander M et al. Commun Biol (2022)
Reported Trait: Type 2 diabetes (incident and prevalent) OR: 1.68 [1.65, 1.7] AUROC: 0.708 [0.705, 0.711] year of birth, sex
PPM009436 PGS001817
(portability-PLR_250.1)
PSS009287|
European Ancestry|
18,975 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 1 diabetes Partial Correlation (partial-r): 0.0752 [0.061, 0.0893] sex, age, birth date, deprivation index, 16 PCs
PPM009437 PGS001817
(portability-PLR_250.1)
PSS009061|
European Ancestry|
3,954 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 1 diabetes Partial Correlation (partial-r): 0.0684 [0.0372, 0.0994] sex, age, birth date, deprivation index, 16 PCs
PPM009438 PGS001817
(portability-PLR_250.1)
PSS008615|
European Ancestry|
6,300 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 1 diabetes Partial Correlation (partial-r): 0.0739 [0.0493, 0.0985] sex, age, birth date, deprivation index, 16 PCs
PPM009439 PGS001817
(portability-PLR_250.1)
PSS008391|
Greater Middle Eastern Ancestry|
1,107 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 1 diabetes Partial Correlation (partial-r): 0.0349 [-0.0246, 0.0941] sex, age, birth date, deprivation index, 16 PCs
PPM009440 PGS001817
(portability-PLR_250.1)
PSS008169|
South Asian Ancestry|
5,228 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 1 diabetes Partial Correlation (partial-r): 0.0224 [-0.0047, 0.0496] sex, age, birth date, deprivation index, 16 PCs
PPM009441 PGS001817
(portability-PLR_250.1)
PSS007956|
East Asian Ancestry|
1,729 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 1 diabetes Partial Correlation (partial-r): -0.0001 [-0.0475, 0.0474] sex, age, birth date, deprivation index, 16 PCs
PPM009442 PGS001817
(portability-PLR_250.1)
PSS007737|
African Ancestry|
2,200 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 1 diabetes Partial Correlation (partial-r): -0.0006 [-0.0426, 0.0414] sex, age, birth date, deprivation index, 16 PCs
PPM009443 PGS001817
(portability-PLR_250.1)
PSS008840|
African Ancestry|
3,490 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 1 diabetes Partial Correlation (partial-r): -0.0187 [-0.052, 0.0146] sex, age, birth date, deprivation index, 16 PCs
PPM009444 PGS001818
(portability-PLR_250.2)
PSS009288|
European Ancestry|
19,931 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 2 diabetes Partial Correlation (partial-r): 0.1246 [0.1109, 0.1382] sex, age, birth date, deprivation index, 16 PCs
PPM009445 PGS001818
(portability-PLR_250.2)
PSS009062|
European Ancestry|
4,121 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 2 diabetes Partial Correlation (partial-r): 0.0862 [0.0557, 0.1165] sex, age, birth date, deprivation index, 16 PCs
PPM009447 PGS001818
(portability-PLR_250.2)
PSS008392|
Greater Middle Eastern Ancestry|
1,197 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 2 diabetes Partial Correlation (partial-r): 0.1735 [0.1176, 0.2284] sex, age, birth date, deprivation index, 16 PCs
PPM009448 PGS001818
(portability-PLR_250.2)
PSS008170|
South Asian Ancestry|
6,312 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 2 diabetes Partial Correlation (partial-r): 0.1556 [0.1314, 0.1796] sex, age, birth date, deprivation index, 16 PCs
PPM009449 PGS001818
(portability-PLR_250.2)
PSS007957|
East Asian Ancestry|
1,808 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 2 diabetes Partial Correlation (partial-r): 0.0665 [0.0202, 0.1125] sex, age, birth date, deprivation index, 16 PCs
PPM009450 PGS001818
(portability-PLR_250.2)
PSS007738|
African Ancestry|
2,476 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 2 diabetes Partial Correlation (partial-r): 0.0956 [0.0562, 0.1346] sex, age, birth date, deprivation index, 16 PCs
PPM009451 PGS001818
(portability-PLR_250.2)
PSS008841|
African Ancestry|
3,896 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 2 diabetes Partial Correlation (partial-r): 0.0522 [0.0208, 0.0836] sex, age, birth date, deprivation index, 16 PCs
PPM009446 PGS001818
(portability-PLR_250.2)
PSS008616|
European Ancestry|
6,646 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 2 diabetes Partial Correlation (partial-r): 0.108 [0.0842, 0.1317] sex, age, birth date, deprivation index, 16 PCs
PPM011074 PGS002025
(portability-ldpred2_250.1)
PSS009287|
European Ancestry|
18,975 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 1 diabetes Partial Correlation (partial-r): 0.0824 [0.0682, 0.0965] sex, age, birth date, deprivation index, 16 PCs
PPM011075 PGS002025
(portability-ldpred2_250.1)
PSS009061|
European Ancestry|
3,954 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 1 diabetes Partial Correlation (partial-r): 0.0666 [0.0354, 0.0976] sex, age, birth date, deprivation index, 16 PCs
PPM011076 PGS002025
(portability-ldpred2_250.1)
PSS008615|
European Ancestry|
6,300 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 1 diabetes Partial Correlation (partial-r): 0.0719 [0.0472, 0.0964] sex, age, birth date, deprivation index, 16 PCs
PPM011077 PGS002025
(portability-ldpred2_250.1)
PSS008391|
Greater Middle Eastern Ancestry|
1,107 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 1 diabetes Partial Correlation (partial-r): 0.0529 [-0.0066, 0.112] sex, age, birth date, deprivation index, 16 PCs
PPM011078 PGS002025
(portability-ldpred2_250.1)
PSS008169|
South Asian Ancestry|
5,228 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 1 diabetes Partial Correlation (partial-r): 0.0228 [-0.0044, 0.0499] sex, age, birth date, deprivation index, 16 PCs
PPM011079 PGS002025
(portability-ldpred2_250.1)
PSS007956|
East Asian Ancestry|
1,729 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 1 diabetes Partial Correlation (partial-r): -0.0048 [-0.0522, 0.0427] sex, age, birth date, deprivation index, 16 PCs
PPM011080 PGS002025
(portability-ldpred2_250.1)
PSS007737|
African Ancestry|
2,200 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 1 diabetes Partial Correlation (partial-r): 0.0089 [-0.0331, 0.0509] sex, age, birth date, deprivation index, 16 PCs
PPM011081 PGS002025
(portability-ldpred2_250.1)
PSS008840|
African Ancestry|
3,490 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 1 diabetes Partial Correlation (partial-r): -0.013 [-0.0463, 0.0203] sex, age, birth date, deprivation index, 16 PCs
PPM011082 PGS002026
(portability-ldpred2_250.2)
PSS009288|
European Ancestry|
19,931 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 2 diabetes Partial Correlation (partial-r): 0.1304 [0.1168, 0.1441] sex, age, birth date, deprivation index, 16 PCs
PPM011083 PGS002026
(portability-ldpred2_250.2)
PSS009062|
European Ancestry|
4,121 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 2 diabetes Partial Correlation (partial-r): 0.0862 [0.0558, 0.1165] sex, age, birth date, deprivation index, 16 PCs
PPM011084 PGS002026
(portability-ldpred2_250.2)
PSS008616|
European Ancestry|
6,646 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 2 diabetes Partial Correlation (partial-r): 0.1134 [0.0896, 0.1371] sex, age, birth date, deprivation index, 16 PCs
PPM011085 PGS002026
(portability-ldpred2_250.2)
PSS008392|
Greater Middle Eastern Ancestry|
1,197 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 2 diabetes Partial Correlation (partial-r): 0.1764 [0.1205, 0.2312] sex, age, birth date, deprivation index, 16 PCs
PPM011087 PGS002026
(portability-ldpred2_250.2)
PSS007957|
East Asian Ancestry|
1,808 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 2 diabetes Partial Correlation (partial-r): 0.0786 [0.0324, 0.1246] sex, age, birth date, deprivation index, 16 PCs
PPM011088 PGS002026
(portability-ldpred2_250.2)
PSS007738|
African Ancestry|
2,476 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 2 diabetes Partial Correlation (partial-r): 0.1001 [0.0607, 0.1391] sex, age, birth date, deprivation index, 16 PCs
PPM011089 PGS002026
(portability-ldpred2_250.2)
PSS008841|
African Ancestry|
3,896 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 2 diabetes Partial Correlation (partial-r): 0.0806 [0.0493, 0.1118] sex, age, birth date, deprivation index, 16 PCs
PPM011086 PGS002026
(portability-ldpred2_250.2)
PSS008170|
South Asian Ancestry|
6,312 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 2 diabetes Partial Correlation (partial-r): 0.158 [0.1338, 0.182] sex, age, birth date, deprivation index, 16 PCs
PPM012733 PGS002243
(ldpred_t2d)
PSS009522|
European Ancestry|
258,402 individuals
PGP000271 |
Mars N et al. Cell Genom (2022)
Reported Trait: Type 2 diabetes OR: 1.58 [1.56, 1.6] age, sex, 10 PCs (+/- dataset-specific technical covariates)
PPM012737 PGS002243
(ldpred_t2d)
PSS009518|
European Ancestry|
110,597 individuals
PGP000271 |
Mars N et al. Cell Genom (2022)
Reported Trait: Type 2 diabetes OR: 1.55 [1.51, 1.59] age, sex, 10 PCs (+/- dataset-specific technical covariates)
PPM012741 PGS002243
(ldpred_t2d)
PSS009514|
East Asian Ancestry|
178,726 individuals
PGP000271 |
Mars N et al. Cell Genom (2022)
Reported Trait: Type 2 diabetes OR: 1.37 [1.36, 1.39] age, sex, 10 PCs (+/- dataset-specific technical covariates)
PPM012745 PGS002243
(ldpred_t2d)
PSS009526|
European Ancestry|
69,422 individuals
PGP000271 |
Mars N et al. Cell Genom (2022)
Reported Trait: Type 2 diabetes OR: 1.64 [1.6, 1.69] birth year, sex, 10 PCs (+/- dataset-specific technical covariates)
PPM012749 PGS002243
(ldpred_t2d)
PSS009534|
European Ancestry|
25,696 individuals
PGP000271 |
Mars N et al. Cell Genom (2022)
Reported Trait: Type 2 diabetes OR: 1.46 [1.41, 1.51] age, sex, 10 PCs (+/- dataset-specific technical covariates)
PPM012753 PGS002243
(ldpred_t2d)
PSS009530|
African Ancestry|
1,535 individuals
PGP000271 |
Mars N et al. Cell Genom (2022)
Reported Trait: Type 2 diabetes OR: 1.24 [1.09, 1.42] age, sex, 10 PCs (+/- dataset-specific technical covariates)
PPM012757 PGS002243
(ldpred_t2d)
PSS009542|
European Ancestry|
343,676 individuals
PGP000271 |
Mars N et al. Cell Genom (2022)
Reported Trait: Type 2 diabetes OR: 1.78 [1.75, 1.81] age, sex, 10 PCs (+/- dataset-specific technical covariates)
PPM012762 PGS002243
(ldpred_t2d)
PSS009538|
African Ancestry|
7,618 individuals
PGP000271 |
Mars N et al. Cell Genom (2022)
Reported Trait: Type 2 diabetes OR: 1.46 [1.32, 1.62] age, sex, 10 PCs (+/- dataset-specific technical covariates)
PPM012767 PGS002243
(ldpred_t2d)
PSS009546|
South Asian Ancestry|
7,628 individuals
PGP000271 |
Mars N et al. Cell Genom (2022)
Reported Trait: Type 2 diabetes OR: 1.66 [1.55, 1.79] age, sex, 10 PCs (+/- dataset-specific technical covariates)
PPM012834 PGS002256
(GRS4_GDM)
PSS009573|
East Asian Ancestry|
985 individuals
PGP000282 |
Wu Q et al. Diabetol Metab Syndr (2022)
Reported Trait: Gestational diabetes mellitus in early pregnancy AUROC: 0.62 [0.573, 0.667]
PPM012888 PGS002264
(PRS_Combined)
PSS009595|
Ancestry Not Reported|
11,462 individuals
PGP000293 |
Sharma S et al. Gastroenterology (2022)
Reported Trait: Incident pancreatic ductal adenocarcinoma AUROC: 0.605 [0.587, 0.623] Positive predictive values (PPV highest quintile): 14.4 [13, 15.9]
PPM012895 PGS002264
(PRS_Combined)
PSS009600|
Ancestry Not Reported|
206 individuals
PGP000293 |
Sharma S et al. Gastroenterology (2022)
Reported Trait: Incident pancreatic ductal adenocarcinoma (with long-standing diabetes mellitus) OR: 1.873 [1.53, 2.292] principal components (PC 1-10)
PPM012896 PGS002264
(PRS_Combined)
PSS009601|
Ancestry Not Reported|
998 individuals
PGP000293 |
Sharma S et al. Gastroenterology (2022)
Reported Trait: Incident pancreatic ductal adenocarcinoma (with new onset diabetes mellitus) Positive predictive values (PPV highest quintile): 0.867 [0.732, 0.949]
PPM012894 PGS002264
(PRS_Combined)
PSS009600|
Ancestry Not Reported|
206 individuals
PGP000293 |
Sharma S et al. Gastroenterology (2022)
Reported Trait: Incident pancreatic ductal adenocarcinoma (with long-standing diabetes mellitus) Positive predictive values (PPV highest quintile): 0.239 [0.181, 0.303]
PPM012892 PGS002264
(PRS_Combined)
PSS009598|
Ancestry Not Reported|
10,259 individuals
PGP000293 |
Sharma S et al. Gastroenterology (2022)
Reported Trait: Incident pancreatic ductal adenocarcinoma (without diabetes mellitus) AUROC: 0.594 [0.573, 0.614] Positive predictive values (PPV highest quintile): 0.119 [0.105, 0.134]
PPM012897 PGS002264
(PRS_Combined)
PSS009601|
Ancestry Not Reported|
998 individuals
PGP000293 |
Sharma S et al. Gastroenterology (2022)
Reported Trait: Incident pancreatic ductal adenocarcinoma (with new onset diabetes mellitus) OR: 1.885 [1.279, 2.778] principal components (PC 1-10)
PPM012898 PGS002264
(PRS_Combined)
PSS009596|
Ancestry Not Reported|
1,203 individuals
PGP000293 |
Sharma S et al. Gastroenterology (2022)
Reported Trait: Incident pancreatic ductal adenocarcinoma (with diabetes mellitus) OR: 1.674 [1.443, 1.942] principal components (PC 1-10)
PPM012899 PGS002264
(PRS_Combined)
PSS009596|
Ancestry Not Reported|
1,203 individuals
PGP000293 |
Sharma S et al. Gastroenterology (2022)
Reported Trait: Incident pancreatic ductal adenocarcinoma (with diabetes mellitus) AUROC: 0.645
PPM012900 PGS002264
(PRS_Combined)
PSS009597|
Ancestry Not Reported|
242 individuals
PGP000293 |
Sharma S et al. Gastroenterology (2022)
Reported Trait: Incident pancreatic ductal adenocarcinoma (< 60 years) OR: 1.633 [1.292, 2.064] principal components (PC 1-10)
PPM012901 PGS002264
(PRS_Combined)
PSS009599|
Ancestry Not Reported|
274 individuals
PGP000293 |
Sharma S et al. Gastroenterology (2022)
Reported Trait: Incident pancreatic ductal adenocarcinoma (60 years) OR: 1.538 [1.287, 1.837] principal components (PC 1-10)
PPM012893 PGS002264
(PRS_Combined)
PSS009598|
Ancestry Not Reported|
10,259 individuals
PGP000293 |
Sharma S et al. Gastroenterology (2022)
Reported Trait: Incident pancreatic ductal adenocarcinoma (without diabetes mellitus) OR: 1.386 [1.288, 1.492] principal components (PC 1-10)
PPM012889 PGS002264
(PRS_Combined)
PSS009595|
Ancestry Not Reported|
11,462 individuals
PGP000293 |
Sharma S et al. Gastroenterology (2022)
Reported Trait: Incident pancreatic ductal adenocarcinoma HR (highest vs lowest quintile): 2.738 [2.227, 3.365] Smoking (never, current and previous), waist circumference (cm), DM onset (No DM, NODM, LSDM) and first-degree family history of digestive cancer (yes/no)
PPM012890 PGS002264
(PRS_Combined)
PSS009595|
Ancestry Not Reported|
11,462 individuals
PGP000293 |
Sharma S et al. Gastroenterology (2022)
Reported Trait: Incident pancreatic ductal adenocarcinoma AUROC: 0.83 [0.8, 0.86] Age of participants at recruitment, age when DM diagnosed, DM onset (No DM, NODM, LSDM), waist circumference (cm), and first-degree family history of digestive cancer (yes/no)., clinical risk
PPM012891 PGS002264
(PRS_Combined)
PSS009595|
Ancestry Not Reported|
11,462 individuals
PGP000293 |
Sharma S et al. Gastroenterology (2022)
Reported Trait: Incident pancreatic ductal adenocarcinoma OR: 1.43 principal components (PC 1-10)
PPM012947 PGS002277
(pPS_Insulin_secretion_1)
PSS009629|
South Asian Ancestry|
5,806 individuals
PGP000305 |
Siddiqui MK et al. Diabetologia (2022)
Reported Trait: Age at diagnosis Z: 5.2 Z-score p-value < 0.0001
PPM012948 PGS002277
(pPS_Insulin_secretion_1)
PSS009629|
South Asian Ancestry|
5,806 individuals
PGP000305 |
Siddiqui MK et al. Diabetologia (2022)
Reported Trait: Age at diagnosis (normal BMI) β: 37.31 (16.7) : 0.012
PPM012949 PGS002277
(pPS_Insulin_secretion_1)
PSS009629|
South Asian Ancestry|
5,806 individuals
PGP000305 |
Siddiqui MK et al. Diabetologia (2022)
Reported Trait: Age at diagnosis (overweight BMI) β: 32.68 (20.7) : 0.0097
PPM012950 PGS002277
(pPS_Insulin_secretion_1)
PSS009629|
South Asian Ancestry|
5,806 individuals
PGP000305 |
Siddiqui MK et al. Diabetologia (2022)
Reported Trait: Age at diagnosis (obese BMI) β: 18.9 (10.76) : 0.0036
PPM013064 PGS002308
(PRScsx_T2D)
PSS009677|
European Ancestry|
54,793 individuals
PGP000331 |
Ge T et al. Genome Med (2022)
Reported Trait: Type 2 diabetes OR: 1.96 [1.91, 2.02] AUROC: 0.793 : 0.092 age, sex, top 10 PCs, study site
PPM013065 PGS002308
(PRScsx_T2D)
PSS009676|
African Ancestry|
12,472 individuals
PGP000331 |
Ge T et al. Genome Med (2022)
Reported Trait: Type 2 diabetes OR: 1.54 [1.46, 1.64] AUROC: 0.848 : 0.028 age, sex, top 10 PCs, study site
PPM013066 PGS002308
(PRScsx_T2D)
PSS009678|
Hispanic or Latin American Ancestry|
2,374 individuals
PGP000331 |
Ge T et al. Genome Med (2022)
Reported Trait: Type 2 diabetes OR: 2.08 [1.84, 2.35] AUROC: 0.851 : 0.08 age, sex, top 10 PCs, study site
PPM013067 PGS002308
(PRScsx_T2D)
PSS009671|
African Ancestry|
6,745 individuals
PGP000331 |
Ge T et al. Genome Med (2022)
Reported Trait: Type 2 diabetes OR: 1.7 [1.58, 1.84] AUROC: 0.631 : 0.046 age, sex, top 10 PCs
PPM013068 PGS002308
(PRScsx_T2D)
PSS009669|
African Ancestry|
5,498 individuals
PGP000331 |
Ge T et al. Genome Med (2022)
Reported Trait: Type 2 diabetes OR: 1.85 [1.7, 2.01] AUROC: 0.633 : 0.036 age, sex, top 10 PCs
PPM013069 PGS002308
(PRScsx_T2D)
PSS009670|
African Ancestry|
1,896 individuals
PGP000331 |
Ge T et al. Genome Med (2022)
Reported Trait: Type 2 diabetes OR: 1.75 [1.52, 2.02] AUROC: 0.757 : 0.062 age, sex, top 10 PCs
PPM013070 PGS002308
(PRScsx_T2D)
PSS009675|
African Ancestry|
655 individuals
PGP000331 |
Ge T et al. Genome Med (2022)
Reported Trait: Type 2 diabetes OR: 1.37 [1.13, 1.65] AUROC: 0.631 : 0.015 age, sex, top 10 PCs
PPM013071 PGS002308
(PRScsx_T2D)
PSS009672|
East Asian Ancestry|
25,110 individuals
PGP000331 |
Ge T et al. Genome Med (2022)
Reported Trait: Type 2 diabetes OR: 2.19 [2.05, 2.33] AUROC: 0.81 : 0.151 age, sex, top 10 PCs
PPM013072 PGS002308
(PRScsx_T2D)
PSS009673|
East Asian Ancestry|
54,078 individuals
PGP000331 |
Ge T et al. Genome Med (2022)
Reported Trait: Type 2 diabetes OR: 2.01 [1.93, 2.1] AUROC: 0.781 : 0.129 age, sex, top 10 PCs
PPM013073 PGS002308
(PRScsx_T2D)
PSS009674|
East Asian Ancestry|
10,378 individuals
PGP000331 |
Ge T et al. Genome Med (2022)
Reported Trait: Type 2 diabetes OR: 2.16 [1.96, 2.38] AUROC: 0.802 : 0.153 age, sex, top 10 PCs
PPM013086 PGS002321
(disease_DIABETES_ANY_DIAGNOSED.BOLT-LMM)
PSS009727|
African Ancestry|
6,430 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Diabetes (any type) Incremental R2 (full model vs. covariates alone): 0.005 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013135 PGS002321
(disease_DIABETES_ANY_DIAGNOSED.BOLT-LMM)
PSS009728|
East Asian Ancestry|
898 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Diabetes (any type) Incremental R2 (full model vs. covariates alone): 0.006 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013184 PGS002321
(disease_DIABETES_ANY_DIAGNOSED.BOLT-LMM)
PSS009729|
European Ancestry|
43,355 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Diabetes (any type) Incremental R2 (full model vs. covariates alone): 0.0159 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013233 PGS002321
(disease_DIABETES_ANY_DIAGNOSED.BOLT-LMM)
PSS009730|
South Asian Ancestry|
7,926 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Diabetes (any type) Incremental R2 (full model vs. covariates alone): 0.028 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013089 PGS002324
(disease_ENDOCRINE_DIABETES.BOLT-LMM)
PSS009739|
African Ancestry|
6,503 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Endocrine and diabetes diseases Incremental R2 (full model vs. covariates alone): 0.0025 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013138 PGS002324
(disease_ENDOCRINE_DIABETES.BOLT-LMM)
PSS009740|
East Asian Ancestry|
922 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Endocrine and diabetes diseases Incremental R2 (full model vs. covariates alone): 0.0029 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013187 PGS002324
(disease_ENDOCRINE_DIABETES.BOLT-LMM)
PSS009741|
European Ancestry|
43,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Endocrine and diabetes diseases Incremental R2 (full model vs. covariates alone): 0.0101 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013236 PGS002324
(disease_ENDOCRINE_DIABETES.BOLT-LMM)
PSS009742|
South Asian Ancestry|
8,098 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Endocrine and diabetes diseases Incremental R2 (full model vs. covariates alone): 0.0219 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013119 PGS002354
(disease_T2D.BOLT-LMM)
PSS009859|
African Ancestry|
6,503 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0047 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013168 PGS002354
(disease_T2D.BOLT-LMM)
PSS009860|
East Asian Ancestry|
922 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0025 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013217 PGS002354
(disease_T2D.BOLT-LMM)
PSS009861|
European Ancestry|
43,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0135 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013266 PGS002354
(disease_T2D.BOLT-LMM)
PSS009862|
South Asian Ancestry|
8,098 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0218 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013291 PGS002379
(disease_T2D.BOLT-LMM-BBJ)
PSS009859|
African Ancestry|
6,503 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0008 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013314 PGS002379
(disease_T2D.BOLT-LMM-BBJ)
PSS009860|
East Asian Ancestry|
922 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0148 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013360 PGS002379
(disease_T2D.BOLT-LMM-BBJ)
PSS009862|
South Asian Ancestry|
8,098 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0091 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013337 PGS002379
(disease_T2D.BOLT-LMM-BBJ)
PSS009861|
European Ancestry|
43,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0026 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013374 PGS002393
(disease_DIABETES_ANY_DIAGNOSED.P+T.0.0001)
PSS009727|
African Ancestry|
6,430 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Diabetes (any type) Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013423 PGS002393
(disease_DIABETES_ANY_DIAGNOSED.P+T.0.0001)
PSS009728|
East Asian Ancestry|
898 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Diabetes (any type) Incremental R2 (full model vs. covariates alone): 0.0017 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013472 PGS002393
(disease_DIABETES_ANY_DIAGNOSED.P+T.0.0001)
PSS009729|
European Ancestry|
43,355 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Diabetes (any type) Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013521 PGS002393
(disease_DIABETES_ANY_DIAGNOSED.P+T.0.0001)
PSS009730|
South Asian Ancestry|
7,926 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Diabetes (any type) Incremental R2 (full model vs. covariates alone): 0.0001 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013377 PGS002396
(disease_ENDOCRINE_DIABETES.P+T.0.0001)
PSS009739|
African Ancestry|
6,503 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Endocrine and diabetes diseases Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013426 PGS002396
(disease_ENDOCRINE_DIABETES.P+T.0.0001)
PSS009740|
East Asian Ancestry|
922 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Endocrine and diabetes diseases Incremental R2 (full model vs. covariates alone): 0.0008 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013475 PGS002396
(disease_ENDOCRINE_DIABETES.P+T.0.0001)
PSS009741|
European Ancestry|
43,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Endocrine and diabetes diseases Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013524 PGS002396
(disease_ENDOCRINE_DIABETES.P+T.0.0001)
PSS009742|
South Asian Ancestry|
8,098 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Endocrine and diabetes diseases Incremental R2 (full model vs. covariates alone): 0.0001 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013407 PGS002426
(disease_T2D.P+T.0.0001)
PSS009859|
African Ancestry|
6,503 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0001 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013505 PGS002426
(disease_T2D.P+T.0.0001)
PSS009861|
European Ancestry|
43,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013554 PGS002426
(disease_T2D.P+T.0.0001)
PSS009862|
South Asian Ancestry|
8,098 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013456 PGS002426
(disease_T2D.P+T.0.0001)
PSS009860|
East Asian Ancestry|
922 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0032 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013570 PGS002442
(disease_DIABETES_ANY_DIAGNOSED.P+T.0.001)
PSS009727|
African Ancestry|
6,430 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Diabetes (any type) Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013619 PGS002442
(disease_DIABETES_ANY_DIAGNOSED.P+T.0.001)
PSS009728|
East Asian Ancestry|
898 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Diabetes (any type) Incremental R2 (full model vs. covariates alone): 0.0056 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013717 PGS002442
(disease_DIABETES_ANY_DIAGNOSED.P+T.0.001)
PSS009730|
South Asian Ancestry|
7,926 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Diabetes (any type) Incremental R2 (full model vs. covariates alone): 0.0001 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013668 PGS002442
(disease_DIABETES_ANY_DIAGNOSED.P+T.0.001)
PSS009729|
European Ancestry|
43,355 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Diabetes (any type) Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013622 PGS002445
(disease_ENDOCRINE_DIABETES.P+T.0.001)
PSS009740|
East Asian Ancestry|
922 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Endocrine and diabetes diseases Incremental R2 (full model vs. covariates alone): 0.0026 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013671 PGS002445
(disease_ENDOCRINE_DIABETES.P+T.0.001)
PSS009741|
European Ancestry|
43,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Endocrine and diabetes diseases Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013720 PGS002445
(disease_ENDOCRINE_DIABETES.P+T.0.001)
PSS009742|
South Asian Ancestry|
8,098 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Endocrine and diabetes diseases Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013573 PGS002445
(disease_ENDOCRINE_DIABETES.P+T.0.001)
PSS009739|
African Ancestry|
6,503 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Endocrine and diabetes diseases Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013603 PGS002475
(disease_T2D.P+T.0.001)
PSS009859|
African Ancestry|
6,503 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013652 PGS002475
(disease_T2D.P+T.0.001)
PSS009860|
East Asian Ancestry|
922 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0041 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013701 PGS002475
(disease_T2D.P+T.0.001)
PSS009861|
European Ancestry|
43,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013750 PGS002475
(disease_T2D.P+T.0.001)
PSS009862|
South Asian Ancestry|
8,098 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013766 PGS002491
(disease_DIABETES_ANY_DIAGNOSED.P+T.0.01)
PSS009727|
African Ancestry|
6,430 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Diabetes (any type) Incremental R2 (full model vs. covariates alone): 0.0002 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013815 PGS002491
(disease_DIABETES_ANY_DIAGNOSED.P+T.0.01)
PSS009728|
East Asian Ancestry|
898 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Diabetes (any type) Incremental R2 (full model vs. covariates alone): 0.0047 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013864 PGS002491
(disease_DIABETES_ANY_DIAGNOSED.P+T.0.01)
PSS009729|
European Ancestry|
43,355 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Diabetes (any type) Incremental R2 (full model vs. covariates alone): 0.0001 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013913 PGS002491
(disease_DIABETES_ANY_DIAGNOSED.P+T.0.01)
PSS009730|
South Asian Ancestry|
7,926 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Diabetes (any type) Incremental R2 (full model vs. covariates alone): 0.0001 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013769 PGS002494
(disease_ENDOCRINE_DIABETES.P+T.0.01)
PSS009739|
African Ancestry|
6,503 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Endocrine and diabetes diseases Incremental R2 (full model vs. covariates alone): 0.0002 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013867 PGS002494
(disease_ENDOCRINE_DIABETES.P+T.0.01)
PSS009741|
European Ancestry|
43,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Endocrine and diabetes diseases Incremental R2 (full model vs. covariates alone): 0.0001 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013916 PGS002494
(disease_ENDOCRINE_DIABETES.P+T.0.01)
PSS009742|
South Asian Ancestry|
8,098 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Endocrine and diabetes diseases Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013818 PGS002494
(disease_ENDOCRINE_DIABETES.P+T.0.01)
PSS009740|
East Asian Ancestry|
922 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Endocrine and diabetes diseases Incremental R2 (full model vs. covariates alone): 0.0026 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013799 PGS002524
(disease_T2D.P+T.0.01)
PSS009859|
African Ancestry|
6,503 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0002 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013848 PGS002524
(disease_T2D.P+T.0.01)
PSS009860|
East Asian Ancestry|
922 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0033 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013897 PGS002524
(disease_T2D.P+T.0.01)
PSS009861|
European Ancestry|
43,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013946 PGS002524
(disease_T2D.P+T.0.01)
PSS009862|
South Asian Ancestry|
8,098 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013962 PGS002540
(disease_DIABETES_ANY_DIAGNOSED.P+T.1e-06)
PSS009727|
African Ancestry|
6,430 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Diabetes (any type) Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014011 PGS002540
(disease_DIABETES_ANY_DIAGNOSED.P+T.1e-06)
PSS009728|
East Asian Ancestry|
898 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Diabetes (any type) Incremental R2 (full model vs. covariates alone): 0.0002 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014060 PGS002540
(disease_DIABETES_ANY_DIAGNOSED.P+T.1e-06)
PSS009729|
European Ancestry|
43,355 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Diabetes (any type) Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014109 PGS002540
(disease_DIABETES_ANY_DIAGNOSED.P+T.1e-06)
PSS009730|
South Asian Ancestry|
7,926 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Diabetes (any type) Incremental R2 (full model vs. covariates alone): 0.0008 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013965 PGS002543
(disease_ENDOCRINE_DIABETES.P+T.1e-06)
PSS009739|
African Ancestry|
6,503 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Endocrine and diabetes diseases Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014014 PGS002543
(disease_ENDOCRINE_DIABETES.P+T.1e-06)
PSS009740|
East Asian Ancestry|
922 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Endocrine and diabetes diseases Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014063 PGS002543
(disease_ENDOCRINE_DIABETES.P+T.1e-06)
PSS009741|
European Ancestry|
43,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Endocrine and diabetes diseases Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014112 PGS002543
(disease_ENDOCRINE_DIABETES.P+T.1e-06)
PSS009742|
South Asian Ancestry|
8,098 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Endocrine and diabetes diseases Incremental R2 (full model vs. covariates alone): 0.0003 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014093 PGS002573
(disease_T2D.P+T.1e-06)
PSS009861|
European Ancestry|
43,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013995 PGS002573
(disease_T2D.P+T.1e-06)
PSS009859|
African Ancestry|
6,503 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014044 PGS002573
(disease_T2D.P+T.1e-06)
PSS009860|
East Asian Ancestry|
922 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014142 PGS002573
(disease_T2D.P+T.1e-06)
PSS009862|
South Asian Ancestry|
8,098 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014305 PGS002589
(disease_DIABETES_ANY_DIAGNOSED.P+T.5e-08)
PSS009730|
South Asian Ancestry|
7,926 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Diabetes (any type) Incremental R2 (full model vs. covariates alone): 0.0009 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014158 PGS002589
(disease_DIABETES_ANY_DIAGNOSED.P+T.5e-08)
PSS009727|
African Ancestry|
6,430 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Diabetes (any type) Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014207 PGS002589
(disease_DIABETES_ANY_DIAGNOSED.P+T.5e-08)
PSS009728|
East Asian Ancestry|
898 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Diabetes (any type) Incremental R2 (full model vs. covariates alone): 0.0009 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014256 PGS002589
(disease_DIABETES_ANY_DIAGNOSED.P+T.5e-08)
PSS009729|
European Ancestry|
43,355 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Diabetes (any type) Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014161 PGS002592
(disease_ENDOCRINE_DIABETES.P+T.5e-08)
PSS009739|
African Ancestry|
6,503 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Endocrine and diabetes diseases Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014210 PGS002592
(disease_ENDOCRINE_DIABETES.P+T.5e-08)
PSS009740|
East Asian Ancestry|
922 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Endocrine and diabetes diseases Incremental R2 (full model vs. covariates alone): 0.0001 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014308 PGS002592
(disease_ENDOCRINE_DIABETES.P+T.5e-08)
PSS009742|
South Asian Ancestry|
8,098 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Endocrine and diabetes diseases Incremental R2 (full model vs. covariates alone): 0.0005 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014259 PGS002592
(disease_ENDOCRINE_DIABETES.P+T.5e-08)
PSS009741|
European Ancestry|
43,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Endocrine and diabetes diseases Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014191 PGS002622
(disease_T2D.P+T.5e-08)
PSS009859|
African Ancestry|
6,503 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014240 PGS002622
(disease_T2D.P+T.5e-08)
PSS009860|
East Asian Ancestry|
922 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0002 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014289 PGS002622
(disease_T2D.P+T.5e-08)
PSS009861|
European Ancestry|
43,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014338 PGS002622
(disease_T2D.P+T.5e-08)
PSS009862|
South Asian Ancestry|
8,098 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0001 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014354 PGS002638
(disease_DIABETES_ANY_DIAGNOSED.PolyFun-pred)
PSS009727|
African Ancestry|
6,430 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Diabetes (any type) Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.005 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs See disease_DIABETES_ANY_DIAGNOSED.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014403 PGS002638
(disease_DIABETES_ANY_DIAGNOSED.PolyFun-pred)
PSS009728|
East Asian Ancestry|
898 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Diabetes (any type) Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0097 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs See disease_DIABETES_ANY_DIAGNOSED.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014452 PGS002638
(disease_DIABETES_ANY_DIAGNOSED.PolyFun-pred)
PSS009729|
European Ancestry|
43,355 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Diabetes (any type) Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0136 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs See disease_DIABETES_ANY_DIAGNOSED.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014501 PGS002638
(disease_DIABETES_ANY_DIAGNOSED.PolyFun-pred)
PSS009730|
South Asian Ancestry|
7,926 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Diabetes (any type) Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0339 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs See disease_DIABETES_ANY_DIAGNOSED.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014357 PGS002641
(disease_ENDOCRINE_DIABETES.PolyFun-pred)
PSS009739|
African Ancestry|
6,503 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Endocrine and diabetes diseases Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0025 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs See disease_ENDOCRINE_DIABETES.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014455 PGS002641
(disease_ENDOCRINE_DIABETES.PolyFun-pred)
PSS009741|
European Ancestry|
43,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Endocrine and diabetes diseases Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0105 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs See disease_ENDOCRINE_DIABETES.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014504 PGS002641
(disease_ENDOCRINE_DIABETES.PolyFun-pred)
PSS009742|
South Asian Ancestry|
8,098 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Endocrine and diabetes diseases Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0244 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs See disease_ENDOCRINE_DIABETES.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014406 PGS002641
(disease_ENDOCRINE_DIABETES.PolyFun-pred)
PSS009740|
East Asian Ancestry|
922 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Endocrine and diabetes diseases Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0029 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs See disease_ENDOCRINE_DIABETES.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014387 PGS002671
(disease_T2D.PolyFun-pred)
PSS009859|
African Ancestry|
6,503 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0047 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs See disease_T2D.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014436 PGS002671
(disease_T2D.PolyFun-pred)
PSS009860|
East Asian Ancestry|
922 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0072 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs See disease_T2D.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014485 PGS002671
(disease_T2D.PolyFun-pred)
PSS009861|
European Ancestry|
43,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0128 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs See disease_T2D.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014534 PGS002671
(disease_T2D.PolyFun-pred)
PSS009862|
South Asian Ancestry|
8,098 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0251 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs See disease_T2D.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014599 PGS002687
(disease_DIABETES_ANY_DIAGNOSED.SBayesR)
PSS009728|
East Asian Ancestry|
898 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Diabetes (any type) Incremental R2 (full model vs. covariates alone): 0.005 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014648 PGS002687
(disease_DIABETES_ANY_DIAGNOSED.SBayesR)
PSS009729|
European Ancestry|
43,355 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Diabetes (any type) Incremental R2 (full model vs. covariates alone): 0.0145 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014697 PGS002687
(disease_DIABETES_ANY_DIAGNOSED.SBayesR)
PSS009730|
South Asian Ancestry|
7,926 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Diabetes (any type) Incremental R2 (full model vs. covariates alone): 0.0281 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014550 PGS002687
(disease_DIABETES_ANY_DIAGNOSED.SBayesR)
PSS009727|
African Ancestry|
6,430 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Diabetes (any type) Incremental R2 (full model vs. covariates alone): 0.0057 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014602 PGS002690
(disease_ENDOCRINE_DIABETES.SBayesR)
PSS009740|
East Asian Ancestry|
922 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Endocrine and diabetes diseases Incremental R2 (full model vs. covariates alone): 0.0034 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014553 PGS002690
(disease_ENDOCRINE_DIABETES.SBayesR)
PSS009739|
African Ancestry|
6,503 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Endocrine and diabetes diseases Incremental R2 (full model vs. covariates alone): 0.0046 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014651 PGS002690
(disease_ENDOCRINE_DIABETES.SBayesR)
PSS009741|
European Ancestry|
43,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Endocrine and diabetes diseases Incremental R2 (full model vs. covariates alone): 0.0094 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014700 PGS002690
(disease_ENDOCRINE_DIABETES.SBayesR)
PSS009742|
South Asian Ancestry|
8,098 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Endocrine and diabetes diseases Incremental R2 (full model vs. covariates alone): 0.0221 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014583 PGS002720
(disease_T2D.SBayesR)
PSS009859|
African Ancestry|
6,503 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.006 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014632 PGS002720
(disease_T2D.SBayesR)
PSS009860|
East Asian Ancestry|
922 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0021 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014681 PGS002720
(disease_T2D.SBayesR)
PSS009861|
European Ancestry|
43,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0129 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014730 PGS002720
(disease_T2D.SBayesR)
PSS009862|
South Asian Ancestry|
8,098 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0207 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM014821 PGS002733
(GRS17_T2D)
PSS009902|
European Ancestry|
600 individuals
PGP000342 |
Pezzilli S et al. Diabetes Metab (2022)
Reported Trait: Early-onset type 2 diabetes OR: 1.09 [1.01, 1.18]
PPM014822 PGS002733
(GRS17_T2D)
PSS009902|
European Ancestry|
600 individuals
PGP000342 |
Pezzilli S et al. Diabetes Metab (2022)
Reported Trait: Early-onset type 2 diabetes in rare variant carriers OR: 1.45 [1.15, 1.57]
PPM014823 PGS002733
(GRS17_T2D)
PSS009902|
European Ancestry|
600 individuals
PGP000342 |
Pezzilli S et al. Diabetes Metab (2022)
Reported Trait: Early-onset type 2 diabetes in rare variant non-carriers OR: 1.06 [1.01, 1.13]
PPM014844 PGS002740
(PRS22_PC)
PSS009913|
European Ancestry|
13,952 individuals
PGP000347 |
Yuan C et al. Ann Oncol (2022)
Reported Trait: Pancreatic cancer in those aged <= 60 years Odds ratio (OR, top vs bottom 10%): 6.91 [4.6, 10.4]
PPM014843 PGS002740
(PRS22_PC)
PSS009913|
European Ancestry|
13,952 individuals
PGP000347 |
Yuan C et al. Ann Oncol (2022)
Reported Trait: Pancreatic cancer in those aged >70 years Odds ratio (OR, top vs bottom 10%): 4.12 [3.08, 5.52]

Evaluated Samples

PGS Sample Set ID
(PSS)
Phenotype Definitions and Methods Participant Follow-up Time Sample Numbers Age of Study Participants Sample Ancestry Additional Ancestry Description Cohort(s) Additional Sample/Cohort Information
PSS000122 Cancer diagnoses were obtained from reigstry data in GERA, and ICD-9/10 codes mapped to ICD-O-3 codes in UK Biobank. Cancers for this phenotype were classified using the following SEER site recode(s): 21100
[
  • 665 cases
  • , 410,354 controls
]
,
46.0 % Male samples
Mean = 58.0 years European GERA, UKB
PSS009538
[
  • 691 cases
  • , 6,927 controls
]
African unspecified UKB
PSS008169 5,228 individuals South Asian India (South Asia) UKB
PSS008170 6,312 individuals South Asian India (South Asia) UKB
PSS009595 PDAC cases were considered incident if diagnosed after study entry or without a date of diagnosis if identified by mortality alone. Median = 109.0 months
[
  • 1,042 cases
  • , 10,420 controls
]
,
52.0 % Male samples
Mean = 61.3 years Not reported European, African American or Afro-Caribbean, South Asian, East Asian, African unspecified UKB
PSS009596 PDAC cases were considered incident if diagnosed after study entry or without a date of diagnosis if identified by mortality alone.
[
  • 251 cases
  • , 952 controls
]
Not reported European, African American or Afro-Caribbean, South Asian, East Asian, African unspecified UKB
PSS009597 PDAC cases were considered incident if diagnosed after study entry or without a date of diagnosis if identified by mortality alone.
[
  • 37 cases
  • , 205 controls
]
Not reported European, African American or Afro-Caribbean, South Asian, East Asian, African unspecified UKB
PSS009598 PDAC cases were considered incident if diagnosed after study entry or without a date of diagnosis if identified by mortality alone.
[
  • 791 cases
  • , 9,468 controls
]
Not reported European, African American or Afro-Caribbean, South Asian, East Asian, African unspecified UKB
PSS009599 PDAC cases were considered incident if diagnosed after study entry or without a date of diagnosis if identified by mortality alone.
[
  • 55 cases
  • , 219 controls
]
Not reported European, African American or Afro-Caribbean, South Asian, East Asian, African unspecified UKB
PSS009600 PDAC cases were considered incident if diagnosed after study entry or without a date of diagnosis if identified by mortality alone. LSDM is defined in cases as type 2 diabetes diagnosed more than 24 months before PDAC diagnosis. Defined in controls as type 2 diabetes diagnosed more than 24 months before date of death or date of last follow up.
[
  • 135 cases
  • , 70 controls
]
Not reported European, African American or Afro-Caribbean, South Asian, East Asian, African unspecified UKB
PSS000017 Type 2 diabetes ascertainment was based on self-report in an interview with a trained nurse or an ICD-10 code of E11.X in hospitalization records.
[
  • 5,853 cases
  • , 283,125 controls
]
European UKB UKB Phase 2
PSS009601 PDAC cases were considered incident if diagnosed after study entry or without a date of diagnosis if identified by mortality alone. NODM is defined in cases as type 2 diabetes diagnosed within 24 months before or after diagnosis of PDAC. Defined in controls as type 2 diabetes diagnosed 24 months before death or last follow up.
[
  • 116 cases
  • , 882 controls
]
Not reported European, African American or Afro-Caribbean, South Asian, East Asian, African unspecified UKB
PSS000754 87,413 individuals European UKB
PSS000755 87,413 individuals European UKB
PSS000756 ICD-10 E11.0 - E11.9
[
  • 17,519 cases
  • , 117,781 controls
]
European
(Finnish)
FinnGen
PSS009893 366 individuals African American or Afro-Caribbean SEARCH
PSS009894 412 individuals Hispanic or Latin American SEARCH
PSS009895 1,168 individuals European SEARCH
PSS009896 99 individuals Not reported SEARCH
PSS000025 Incident cases of Type 2 Diabetes in 5.63 years follow-up
[
  • 302 cases
  • , 5,978 controls
]
,
55.0 % Male samples
European
(Estonian)
EB
PSS000026 Cases were defined on the presence or absence of severe insulin deficiency (requiring insulin treatment at 3 years after diagnosis). We cate- gorized people as severely insulin defi- cient if they received continuous insulin treatment at ,3 years from the time of diagnosis and had a low measured C-peptide level (nonfasting measured ,0.6 nmol/L or equivalent fasting blood glucose level or posthome meal urine C-peptide–to–creatinine ratio)
[
  • 46 cases
  • , 177 controls
]
,
46.3 % Male samples
European P2ID A cross-sectional cohort of people in whom diabetes was diagnosed between the ages of 20 and 40 years (n = 223), who had had diabetes for .3 years, and who had self-reported as white European from Devon and Cornwall in South West England. Known monogenic diabetes and secondary diabetes pa- tients were excluded.
PSS000027 Type 1 diabetes status was assigned according to clinician diagnosis.
[
  • 84 cases
  • , 63 controls
]
,
33.78 % Male samples
African American or Afro-Caribbean UFDI Total sample number contains the number of controls, cases, and includes the number of first/second-degree relatives and samples identified as "at risk" (autoantibody positive) used in other analyses.
PSS000028 Type 1 diabetes status was assigned according to clinician diagnosis.
[
  • 65 cases
  • , 43 controls
]
,
44.84 % Male samples
Hispanic or Latin American Samples labeled Caucasian (Hispanic ethnicity) in the original publication. UFDI Total sample number contains the number of controls, cases, and includes the number of first/second-degree relatives and samples identified as "at risk" (autoantibody positive) used in other analyses.
PSS000029 Type 1 diabetes status was assigned according to clinician diagnosis.
[
  • 478 cases
  • , 290 controls
]
,
47.34 % Male samples
European Samples labeled Caucasian (non-Hispanic) in the original publication. UFDI Total sample number contains the number of controls, cases, and includes the number of first/second-degree relatives and samples identified as "at risk" (autoantibody positive) used in other analyses.
PSS009902
[
  • 300 cases
  • , 300 controls
]
European
(Italian)
NR
PSS000030
[
  • 1,021 cases
  • , 2,928 controls
]
African unspecified 7 cohorts
  • BDC
  • ,CLEAR
  • ,GoKinD
  • ,NYCP
  • ,SEARCH
  • ,T1DGC
  • ,UAB
PSS000031 Cases are diagnosed with type 1 diabetes.
[
  • 61 cases
  • , 54 controls
]
African unspecified UOF
PSS000032 Type 1 Diabetes Case Definition = Clinical diagnosis of diabetes at less than or equal to 20 years of age; On insulin within 1 year from the time of diagnosis; Still on insulin at the time of recruit- ment; Not using oral antihyperglycemic agents; Did not ever self-report as having type 2 diabetes (T2D)
[
  • 387 cases
  • , 373,613 controls
]
European UKB
PSS000441 National registries were used to assess disease incidence. Follow-up ended at first-ever diagnosis of the disease of interest, death or at the end of follow-up on December 31, 2018, whichever came first. Disease endpoints are defined in Table S9.
[
  • 1,346 cases
  • , 19,684 controls
]
,
47.3 % Male samples
Mean (Age At Baseline) = 48.0 years European
(Finnish)
FINRISK FINRISK surveys from 1992, 1997, 2002 and 2007
PSS007737 2,200 individuals African American or Afro-Caribbean Carribean UKB
PSS007738 2,476 individuals African American or Afro-Caribbean Carribean UKB
PSS000448 National registries were used to assess disease incidence. Follow-up ended at first-ever diagnosis of the disease of interest, death or at the end of follow-up on December 31, 2018, whichever came first. Disease endpoints are defined in Table S9.
[
  • 17,519 cases
  • , 117,781 controls
]
,
43.7 % Male samples
Mean (Age At Baseline) = 59.2 years
Sd = 16.6 years
European
(Finnish)
FinnGen
PSS009287 18,975 individuals European UK (+ Ireland) UKB
PSS009288 19,931 individuals European UK (+ Ireland) UKB
PSS009913
[
  • 5,107 cases
  • , 8,845 controls
]
European PANSCAN
PSS000042 T2D was defined by a fasting plasma glucose ≥7.0 mmol/L (≥126 mg/dL) or report of taking diabetes medications
[
  • 118 cases
  • , 702 controls
]
,
38.8 % Male samples
African American or Afro-Caribbean CARDIA
PSS000043 T2D was defined by a fasting plasma glucose ≥7.0 mmol/L (≥126 mg/dL) or report of taking diabetes medications
[
  • 97 cases
  • , 1,553 controls
]
,
46.5 % Male samples
European CARDIA
PSS000044 T2D was defined by a fasting plasma glucose ≥7.0 mmol/L (≥126 mg/dL) or report of taking diabetes medications
[
  • 446 cases
  • , 3,025 controls
]
,
46.6 % Male samples
European FOS
PSS009629 5,806 individuals South Asian
(Indian)
INSPIRED Dr. Mohan’s Diabetes Specialities Centre (INSPIRED - DMDSC)
PSS004312
[
  • 89 cases
  • , 6,408 controls
]
African unspecified UKB
PSS004313
[
  • 16 cases
  • , 1,688 controls
]
East Asian UKB
PSS004314
[
  • 180 cases
  • , 24,725 controls
]
European non-white British ancestry UKB
PSS004315
[
  • 171 cases
  • , 7,660 controls
]
South Asian UKB
PSS004316
[
  • 581 cases
  • , 66,844 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS006886 673 individuals African unspecified UKB
PSS006887 86 individuals East Asian UKB
PSS000054 Prevalent T2D status was defined using self-reported medical history and medication
[
  • 13,480 cases
  • , 311,390 controls
]
European UKB
PSS006888 1,059 individuals European non-white British ancestry UKB
PSS006889 1,335 individuals South Asian UKB
PSS006890 3,195 individuals European white British ancestry UKB Testing cohort (heldout set)
PSS008840 3,490 individuals African unspecified Nigeria (West Africa) UKB
PSS008841 3,896 individuals African unspecified Nigeria (West Africa) UKB
PSS004359
[
  • 1,023 cases
  • , 5,474 controls
]
African unspecified UKB
PSS004360
[
  • 132 cases
  • , 1,572 controls
]
East Asian UKB
PSS004361
[
  • 1,571 cases
  • , 23,334 controls
]
European non-white British ancestry UKB
PSS004362
[
  • 1,878 cases
  • , 5,953 controls
]
South Asian UKB
PSS000232 Individuals with T2D were defined as those with fasting time >8 h and fasting glucose levels ≥126 mg/dL, fasting ≤8 h and fasting glucose ≥200 mg/dL, post–oral glucose tolerance test glucose ≥200 mg/dL, HbA1c ≥6.5% (48 mmol/mol), or on current treatment with antihyperglycemia medications.
[
  • 2,499 cases
  • , 5,247 controls
]
,
39.65 % Male samples
Hispanic or Latin American
(Central American, Cuban, Dominican, Mexican, Puerto Rican, South American)
Ancestry groups were defined based on a combination of self-identified Hispanic/Latino background and genetic similarity HCHS, SOL
PSS000859 Data and diagnoses on site-specific incident cancers were provided by the National Health Service Information Centre for participants from England and Wales (follow-up through March 31, 2016) and by the NHS Central Register Scotland for participants from Scotland (follow-up through October 31, 2015). Cancers were coded by the International Classification of Diseases, Ninth Revision (ICD-9) or the International Classification of Diseases, Tenth Revision (ICD-10). Pancreatic Cancer=(ICD-9 = 157 or ICD-10 = C25) Median = 5.8 years
[
  • 432 cases
  • , 400,380 controls
]
,
46.5 % Male samples
European UKB
PSS004363
[
  • 4,540 cases
  • , 62,885 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS000869 CALIBER rule-based phenotyping algorithms (https://github.com/spiros/chronological-map-phenotypes#diabetes) Median = 6.9 years
[
  • 27 cases
  • , 3,060 controls
]
,
51.0 % Male samples
Median = 44.0 years
IQR = [30.5, 54.7] years
European INTERVAL
PSS009669 T2D cases were defined with T2D ICD codes, a single measurement of glucose (fasting glucose ≥126 mg/dL [7 mmol/L] or random glucose ≥ 200 mg/dL [11.1 mmol/L]) or use of any glucose-lowering medications.
[
  • 2,776 cases
  • , 2,722 controls
]
African American or Afro-Caribbean
(African)
GenHAT
PSS009670 T2D cases were defined with T2D ICD codes, a single measurement of glucose (fasting glucose ≥126 mg/dL [7 mmol/L] or random glucose ≥ 200 mg/dL [11.1 mmol/L]) or use of any glucose-lowering medications.
[
  • 402 cases
  • , 1,494 controls
]
African American or Afro-Caribbean
(African)
HYPERGEN
PSS009671 T2D cases were defined with T2D ICD codes, a single measurement of glucose (fasting glucose ≥126 mg/dL [7 mmol/L] or random glucose ≥ 200 mg/dL [11.1 mmol/L]) or use of any glucose-lowering medications.
[
  • 1,659 cases
  • , 5,086 controls
]
African American or Afro-Caribbean
(African)
REGARDS
PSS009672 Self-reported T2D
[
  • 1,248 cases
  • , 23,862 controls
]
East Asian
(Taiwanese)
Taiwan
PSS009673 Self-reported T2D
[
  • 2,806 cases
  • , 51,272 controls
]
East Asian
(Taiwanese)
Taiwan
PSS009674 Self-reported T2D
[
  • 516 cases
  • , 9,862 controls
]
East Asian
(Taiwanese)
Taiwan
PSS009675 T2D cases were defined with T2D ICD codes, a single measurement of glucose (fasting glucose ≥126 mg/dL [7 mmol/L] or random glucose ≥ 200 mg/dL [11.1 mmol/L]) or use of any glucose-lowering medications.
[
  • 300 cases
  • , 355 controls
]
African American or Afro-Caribbean
(African)
WPC
PSS009676 An EHR-based phenotyping algorithm of T2D implemented across eMERGE sites
[
  • 2,688 cases
  • , 9,784 controls
]
African American or Afro-Caribbean
(African)
eMERGE
PSS009677 An EHR-based phenotyping algorithm of T2D implemented across eMERGE sites
[
  • 8,389 cases
  • , 46,404 controls
]
European
(European)
eMERGE
PSS001022 Individuals with at least one recorded incident diagnosis of a borderline, in situ, or malignant primary cancer were defined as cases.
[
  • 493 cases
  • , 390,998 controls
]
European UKB
PSS009678 An EHR-based phenotyping algorithm of T2D implemented across eMERGE sites
[
  • 868 cases
  • , 1,506 controls
]
Hispanic or Latin American
(Hispanic/Latino)
eMERGE
PSS008391 1,107 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB
PSS008392 1,197 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB
PSS000565 PheCode:157; ICD9:157, 157.0, 157.1, 157.2, 157.3, 157.4, 157.8, 157.9; ICD10:C25.0, C25.1, C25.2, C25.3, C25.4, C25.7, C25.8, C25.9
[
  • 327 cases
  • , 3,264 controls
]
European UKB
PSS000083 Cases were clinically diagnosed with T1D before 17 years of age and treated with insulin from diagnosis. Patients with known MODY or NDM were excluded.
[
  • 1,963 cases
  • , 0 controls
]
European WTCCC Cases with Type 1 Diabetes
PSS000083 MODY patients with a confirmed monogenic etiology on genetic testing (415 patients with HNF1A MODY, 346 with GCK MODY, 42 with HNF4A MODY, and 2 with HNF1B MODY). The median age of diagnosis was 20 years (interquartile range 15, 30), and 532 patients were female.
[
  • 805 cases
  • , 0 controls
]
,
33.91 % Male samples
European NR Maturity-onset diabetes of young (MODY) cases ascertained from the Genetic Βeta Cell Research Bank, Exeter, U.K.
PSS004457
[
  • 9 cases
  • , 6,488 controls
]
African unspecified UKB
PSS004458
[
  • 33 cases
  • , 24,872 controls
]
European non-white British ancestry UKB
PSS004459
[
  • 7 cases
  • , 7,824 controls
]
South Asian UKB
PSS004460
[
  • 58 cases
  • , 67,367 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS001044 Cases are individuals with type 2 diabetes (T2D). T2D cases were defined as individuals with (1) a T2D diagnosis by a physician/medical professional and use of medication for treatment of diabetes, and/or (2)a fasting(R8h)blood glucose measurement R126 mg/dL indicated in examination records. For the BMBB cohort T2D diabetes status was defined from algorithms extracted from electronic medical record (EMR) and includes family history of T2D as an exclusion criteria. For T2D cases, BMBB defined medications using unique RxNorm codes at an ingredient level and defined laboratory tests using the logical observations identifiers names and codes (LOINC) standard (https://www.phekb.org/phenotype/type-2-diabetes-mellitus). BioMe included all patients with ICD-9-CM codes of 250.x0 or 250.x2, except for codes 250.10 and 250.12 (indicative of T2D with ketoacidosis, a condition also closely associated with T1D), patients on T2D medications and/or insulin at any time, and all patients with abnormal glucose (>200 mg/dl) or hemoglobin A1c (HbA1c; ≥6.5%) laboratory test results. For the MEC cohort, T2D cases were defined using the following criteria: (a) a self-report of diabetes on the baseline questionnaire, 2nd questionnaire or 3rd questionnaire; and (b) self-report of taking medication for T2D at the time of blood draw; and (c) no diagnosis of T1D in the absence of a T2D diagnosis from the California Office of Statewide Health Planning and Development (OSHPD) for California Residents. In addition, cases included individuals who were linked to the diabetes registries of Hawaii Medical Service Association (HMSA) or Kaiser Permanente Hawaii (KPH) health plans, or who were designated as diabetic in the Chronic Conditions Data Warehouse (CCW) of Medicare. For the WHI cohort, T2D was documented at baseline by self-report in which each woman was asked whether she had ever been told that she had “sugar diabetes” by her physician. Incident diabetes during follow-up was documented by self-report at each semi-annual contact, when participants were asked, “Since the date given on the front of this form, has a doctor prescribed any of the following pills or treatments?” Choices included “pills for diabetes” and “insulin shots for diabetes.”. For the ARIC cohort prevalent type 2 diabetes was defined at the baseline examination as fasting (≥8 h) blood glucose ≥126 mg/dL, or nonfasting glucose ≥200 mg/dL, self-report physician diagnosis of diabetes or “sugar in the blood,” or current medication use for diabetes within the last two weeks. For the CARDIA cohort, T2D was determined at last visit based on a combination of measured fasting glucose levels (≥7.0 mmol/L and ≥126 mg/dL) at examination years 0, 7, 10, 15, 20, or 25; self-report of oral hypoglycemic medications or insulin at years 0, 7, 10, 15, 20, or 25; a 2-h postload glucose ≥11.1 mmol/L (≥200 mg/dL) during a 75-g oral glucose tolerance test at years 10, 20, and 25; or an HbA1c ≥6.5% at years 20 and 25.
[
  • 5,972 cases
  • , 9,637 controls
]
African American or Afro-Caribbean ARIC, BioMe, CARDIA, MEC, WHI Possible sample overlap with this dataset and the datasets used to source/develop GRS582_T2Dmulti and GRS582_T2Dafr.
PSS001045 Cases are individuals with type 2 diabetes (T2D). T2D cases were defined as individuals with (1) a T2D diagnosis by a physician/medical professional and use of medication for treatment of diabetes,and/or (2)a fasting(R8h)blood glucose measurement R126 mg/dL indicated in examination records. For the BMBB cohort T2D diabetes status was defined from algorithms extracted from electronic medical record (EMR) and includes family history of T2D as an exclusion criteria. For T2D cases, BMBB defined medications using unique RxNorm codes at an ingredient level and defined laboratory tests using the logical observations identifiers names and codes (LOINC) standard (https://www.phekb.org/phenotype/type-2-diabetes-mellitus). BioMe included all patients with ICD-9-CM codes of 250.x0 or 250.x2, except for codes 250.10 and 250.12 (indicative of T2D with ketoacidosis, a condition also closely associated with T1D), patients on T2D medications and/or insulin at any time, and all patients with abnormal glucose (>200 mg/dl) or hemoglobin A1c (HbA1c; ≥6.5%) laboratory test results. For the MEC cohort, T2D cases were defined using the following criteria: (a) a self-report of diabetes on the baseline questionnaire, 2nd questionnaire or 3rd questionnaire; and (b) self-report of taking medication for T2D at the time of blood draw; and (c) no diagnosis of T1D in the absence of a T2D diagnosis from the California Office of Statewide Health Planning and Development (OSHPD) for California Residents. In addition, cases included individuals who were linked to the diabetes registries of Hawaii Medical Service Association (HMSA) or Kaiser Permanente Hawaii (KPH) health plans, or who were designated as diabetic in the Chronic Conditions Data Warehouse (CCW) of Medicare. For the WHI cohort, T2D was documented at baseline by self-report in which each woman was asked whether she had ever been told that she had “sugar diabetes” by her physician. Incident diabetes during follow-up was documented by self-report at each semi-annual contact, when participants were asked, “Since the date given on the front of this form, has a doctor prescribed any of the following pills or treatments?” Choices included “pills for diabetes” and “insulin shots for diabetes.”.
[
  • 2,004 cases
  • , 2,572 controls
]
Asian unspecified BioMe, MEC, WHI Possible sample overlap with this dataset and the datasets used to source/develop GRS582_T2Dmulti and GRS582_T2Dasn.
PSS001046 Cases are individuals with type 2 diabetes (T2D). T2D cases were defined as individuals with (1) a T2D diagnosis by a physician/medical professional and use of medication for treatment of diabetes,and/or (2)a fasting(R8h)blood glucose measurement R126 mg/dL indicated in examination records. For the UKB cohort, T2D cases were defined by an ICD-10 code of E11.X or a self-reported diagnosis in an interview with a trained nurse.
[
  • 19,786 cases
  • , 403,943 controls
]
European UKB Possible significant sample overlap with this dataset and the datasets used to source/develop GRS582_T2Dmulti and GRS582_T2Deur
PSS001047 Cases are individuals with type 2 diabetes (T2D). T2D cases were defined as individuals with (1) a T2D diagnosis by a physician/medical professional and use of medication for treatment of diabetes,and/or (2)a fasting(R8h)blood glucose measurement R126 mg/dL indicated in examination records. For the BMBB cohort T2D diabetes status was defined from algorithms extracted from electronic medical record (EMR) and includes family history of T2D as an exclusion criteria. For T2D cases, BMBB defined medications using unique RxNorm codes at an ingredient level and defined laboratory tests using the logical observations identifiers names and codes (LOINC) standard (https://www.phekb.org/phenotype/type-2-diabetes-mellitus). BioMe included all patients with ICD-9-CM codes of 250.x0 or 250.x2, except for codes 250.10 and 250.12 (indicative of T2D with ketoacidosis, a condition also closely associated with T1D), patients on T2D medications and/or insulin at any time, and all patients with abnormal glucose (>200 mg/dl) or hemoglobin A1c (HbA1c; ≥6.5%) laboratory test results. For the MEC cohort, T2D cases were defined using the following criteria: (a) a self-report of diabetes on the baseline questionnaire, 2nd questionnaire or 3rd questionnaire; and (b) self-report of taking medication for T2D at the time of blood draw; and (c) no diagnosis of T1D in the absence of a T2D diagnosis from the California Office of Statewide Health Planning and Development (OSHPD) for California Residents. In addition, cases included individuals who were linked to the diabetes registries of Hawaii Medical Service Association (HMSA) or Kaiser Permanente Hawaii (KPH) health plans, or who were designated as diabetic in the Chronic Conditions Data Warehouse (CCW) of Medicare. For the WHI cohort, T2D was documented at baseline by self-report in which each woman was asked whether she had ever been told that she had “sugar diabetes” by her physician. Incident diabetes during follow-up was documented by self-report at each semi-annual contact, when participants were asked, “Since the date given on the front of this form, has a doctor prescribed any of the following pills or treatments?” Choices included “pills for diabetes” and “insulin shots for diabetes.”. For the SOL cohort, T2D cases were defined as those with fasting time >8 h and fasting glucose levels ≥126 mg/dL, fasting ≤8 h and fasting glucose ≥200 mg/dL, post–oral glucose tolerance test glucose ≥200 mg/dL, HbA1c ≥6.5% (48 mmol/mol), or on current treatment with antihyperglycemia medications.
[
  • 4,137 cases
  • , 16,349 controls
]
Hispanic or Latin American BioMe, MEC, SOL, WHI Possible sample overlap with this dataset and the datasets used to source/develop GRS582_T2Dmulti and GRS582_T2Dhis.
PSS001048 Cases are individuals with type 2 diabetes (T2D). T2D cases were defined as individualswith (1) a T2D diagnosis by a physician/medical professional and use of medication for treat-mentofdiabetes,and/or (2)a fasting(R8h)blood glucose measurement R126 mg/dL indicated in examination records. For the MEC cohort, T2D cases were defined using the following criteria: (a) a self-report of diabetes on the baseline questionnaire, 2nd questionnaire or 3rd questionnaire; and (b) self-report of taking medication for T2D at the time of blood draw; and (c) no diagnosis of T1D in the absence of a T2D diagnosis from the California Office of Statewide Health Planning and Development (OSHPD) for California Residents. In addition, cases included individuals who were linked to the diabetes registries of Hawaii Medical Service Association (HMSA) or Kaiser Permanente Hawaii (KPH) health plans, or who were designated as diabetic in the Chronic Conditions Data Warehouse (CCW) of Medicare.
[
  • 1,534 cases
  • , 2,017 controls
]
Oceanian
(Native Hawaiian)
MEC
PSS000597 In this study, cases were incident patients with primary pancreatic adenocarcinoma ascertained between 1984 and 2010 through self- report, report of next-of-kin, or death certificates and confirmed by medical record review and tumor registry data. Cases Diagnosed within 10 years of blood collection. Mean = 10.0 years
[
  • 304 cases
  • , 652 controls
]
,
28.1 % Male samples
European HPFS, NHS, PHS, WHI Overlap with GWAS samples (percentage unknown). Cross validation approach used (20% as testing sample)
PSS000598 In this study, cases were incident patients with primary pancreatic adenocarcinoma ascertained between 1984 and 2010 through self- report, report of next-of-kin, or death certificates and confirmed by medical record review and tumor registry data.
[
  • 500 cases
  • , 1,091 controls
]
,
33.4 % Male samples
European HPFS, NHS, PHS, WHI Overlap with GWAS samples (percentage unknown). Cross validation approach used (20% as testing sample)
PSS007956 1,729 individuals East Asian China (East Asia) UKB
PSS007957 1,808 individuals East Asian China (East Asia) UKB
PSS009727 6,430 individuals African unspecified UKB
PSS009728 898 individuals East Asian UKB
PSS009729 43,355 individuals European Non-British European UKB
PSS009730 7,926 individuals South Asian UKB
PSS009739 6,503 individuals African unspecified UKB
PSS009740 922 individuals East Asian UKB
PSS009741 43,505 individuals European Non-British European UKB
PSS009742 8,098 individuals South Asian UKB
PSS000368 TEDDY children were followed prospectively from 3–4 months of age, with visits every 3 months until 4 years of age. Each evaluation tested the three islet antibodies (GADA, IA2A and IAA), changes in family history, as well as other measurements specified by the TEDDY protocol. After 4 years of age, children with any islet autoantibodies remained on quarterly visits, while antibody-negative children were evaluated every 6 months. Children were followed prospectively until 15 years of age or until T1D onset, as defined using the American Diabetes Association’s criteria for diagnosis (doi: 10.1196/annals.1447.062) Median = 9.3 years
Range = [0.0833, 14.0] years
[
  • 305 cases
  • , 7,493 controls
]
,
50.86 % Male samples
Range = [3.0, 4.0] years NR TEDDY From 2004–2010, 424,788 newborns were screened at six US and European centers for high-risk HLA genotypes. TEDDY then enrolled 8,676 eligible infants with the intent to follow them until 15 years of age. The three major eligible HLA DR–DQ haplotypes are DR3–DQA1*0501–DQB1*0201, DR4–DQA1*0301–DQB1*0302 and DR8–DQA1*0401–DQB1*0402.
PSS009514
[
  • 40,121 cases
  • , 138,605 controls
]
East Asian
(Japanese)
BBJ
PSS009518
[
  • 7,066 cases
  • , 103,531 controls
]
European
(Estonian)
EB
PSS003606
[
  • 4,659 cases
  • , 173,479 controls
]
Mean = 56.81 years European UKB
PSS009522
[
  • 37,001 cases
  • , 221,401 controls
]
European
(Finnish)
FinnGen
PSS009526
[
  • 5,228 cases
  • , 64,194 controls
]
European Norwegian HUNT
PSS009530
[
  • 660 cases
  • , 875 controls
]
African American or Afro-Caribbean MGBB
PSS004570
[
  • 119 cases
  • , 6,378 controls
]
African unspecified UKB
PSS004571
[
  • 5 cases
  • , 1,699 controls
]
East Asian UKB
PSS004572
[
  • 186 cases
  • , 24,719 controls
]
European non-white British ancestry UKB
PSS004573
[
  • 153 cases
  • , 7,678 controls
]
South Asian UKB
PSS004574
[
  • 568 cases
  • , 66,857 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS004575
[
  • 806 cases
  • , 5,691 controls
]
African unspecified UKB
PSS004576
[
  • 106 cases
  • , 1,598 controls
]
East Asian UKB
PSS004577
[
  • 1,354 cases
  • , 23,551 controls
]
European non-white British ancestry UKB
PSS004578
[
  • 1,637 cases
  • , 6,194 controls
]
South Asian UKB
PSS004579
[
  • 4,071 cases
  • , 63,354 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS004580
[
  • 676 cases
  • , 5,821 controls
]
African unspecified UKB
PSS004581
[
  • 85 cases
  • , 1,619 controls
]
East Asian UKB
PSS004582
[
  • 964 cases
  • , 23,941 controls
]
European non-white British ancestry UKB
PSS004583
[
  • 1,284 cases
  • , 6,547 controls
]
South Asian UKB
PSS004584
[
  • 2,899 cases
  • , 64,526 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS004585
[
  • 64 cases
  • , 6,433 controls
]
African unspecified UKB
PSS004586
[
  • 5 cases
  • , 1,699 controls
]
East Asian UKB
PSS004587
[
  • 134 cases
  • , 24,771 controls
]
European non-white British ancestry UKB
PSS004588
[
  • 89 cases
  • , 7,742 controls
]
South Asian UKB
PSS004589
[
  • 385 cases
  • , 67,040 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS009542
[
  • 13,616 cases
  • , 330,060 controls
]
European British UKB
PSS009546
[
  • 1,120 cases
  • , 6,508 controls
]
South Asian UKB
PSS001084 Moderate Age-Related Diabetes (MARD) vs. controls
[
  • 2,853 cases
  • , 2,744 controls
]
European Swedish ANDIS
PSS001085 Moderate Obesity-related Diabetes (MOD) vs. controls
[
  • 1,372 cases
  • , 2,744 controls
]
European Swedish ANDIS
PSS001086 Severe Autoimmune Diabetes (SAID) vs. controls
[
  • 450 cases
  • , 2,744 controls
]
European Swedish ANDIS
PSS001087 Severe Insulin-Deficient Diabetes (SIDD) vs. controls