Trait: type 2 diabetes mellitus

Trait Information
Identifier MONDO_0005148
Description A type of diabetes mellitus that is characterized by insulin resistance or desensitization and increased blood glucose levels. This is a chronic disease that can develop gradually over the life of a patient and can be linked to both environmental factors and heredity. [NCIT: P378]
Trait categories
Digestive system disorder
Metabolic disorder
Synonyms 35 synonyms
  • NIDDM
  • T2D
  • T2DM
  • T2DM - type 2 diabetes mellitus
  • adult onset diabetes
  • adult-onset diabetes
  • diabetes mellitis type 2
  • diabetes mellitis type II
  • diabetes mellitus, non-insulin-dependent, susceptibility to
  • diabetes mellitus, noninsulin-dependent
  • diabetes mellitus, noninsulin-dependent, 2
  • diabetes mellitus, noninsulin-dependent, association with
  • diabetes mellitus, noninsulin-dependent, late onset
  • diabetes mellitus, noninsulin-dependent, susceptibility to
  • diabetes mellitus, type 2
  • diabetes mellitus, type 2, protection against
  • diabetes mellitus, type 2, susceptibility to
  • diabetes mellitus, type II
  • diabetes mellitus, type II, susceptibility to
  • diabetes, type 2
  • hypertension, insulin resistance-related, susceptibility to
  • insulin resistance, severe, digenic
  • insulin resistance, susceptibility to
  • maturity-onset diabetes
  • non-insulin dependent diabetes
  • non-insulin dependent diabetes mellitus
  • non-insulin-dependent diabetes mellitus
  • noninsulin dependent diabetes
  • noninsulin-dependent diabetes mellitus
  • type 2 diabetes
  • type 2 diabetes mellitus
  • type 2 diabetes mellitus non-insulin dependent
  • type 2 diabetes mellitus, susceptibility to
  • type II diabetes
  • type II diabetes mellitus
Mapped terms 6 mapped terms
  • DOID:9352
  • MESH:D003924
  • NCIT:C26747
  • OMIM:125853
  • SCTID:44054006
  • UMLS:C0011860

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
Polygenic Score ID & Name PGS Publication ID (PGP) Reported Trait Mapped Trait(s) (Ontology) Number of Variants Ancestry distribution
GWAS
Dev
Eval
Scoring File (FTP Link)
PGS000014
(GPS_T2D)
PGP000006 |
Khera AV et al. Nat Genet (2018)
Type 2 diabetes (T2D) type 2 diabetes mellitus 6,917,436
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000014/ScoringFiles/PGS000014.txt.gz - Check Terms/Licenses
PGS000020
(dGRS1000)
PGP000010 |
Läll K et al. Genet Med (2016)
Type 2 diabetes (T2D) type 2 diabetes mellitus 7,502
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000020/ScoringFiles/PGS000020.txt.gz
PGS000031
(GRSt)
PGP000020 |
Vassy JL et al. Diabetes (2014)
Type 2 diabetes (T2D) type 2 diabetes mellitus 62
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000031/ScoringFiles/PGS000031.txt.gz
PGS000032
(GRSB)
PGP000020 |
Vassy JL et al. Diabetes (2014)
Type 2 diabetes (based on SNPs involved in β-cell function) type 2 diabetes mellitus 20
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000032/ScoringFiles/PGS000032.txt.gz
PGS000033
(GRSIR)
PGP000020 |
Vassy JL et al. Diabetes (2014)
Type 2 diabetes (based on SNPs involved in insulin resistance) type 2 diabetes mellitus 10
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000033/ScoringFiles/PGS000033.txt.gz
PGS000036
(gePS_T2D)
PGP000023 |
Mahajan A et al. Nat Genet (2018)
Type 2 diabetes (T2D) type 2 diabetes mellitus 171,249
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000036/ScoringFiles/PGS000036.txt.gz
PGS000125
(Qi_T2D_2017)
PGP000062 |
Qi Q et al. Diabetes (2017)
Type 2 diabetes (T2D) type 2 diabetes mellitus 80
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000125/ScoringFiles/PGS000125.txt.gz
PGS000330
(PRS_T2D)
PGP000100 |
Mars N et al. Nat Med (2020)
Type 2 diabetes (T2D) type 2 diabetes mellitus 6,437,380
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000330/ScoringFiles/PGS000330.txt.gz
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)
Type 2 diabetes (T2D) type 2 diabetes mellitus 183,830
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000713/ScoringFiles/PGS000713.txt.gz - Check Terms/Licenses
PGS000729
(T2D_PGS)
PGP000137 |
Ritchie SC et al. Nat Metab (2021)
Type 2 diabetes (T2D) type 2 diabetes mellitus 2,017,388
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000729/ScoringFiles/PGS000729.txt.gz
PGS000804
(GRS582_T2Dmulti)
PGP000193 |
Polfus LM et al. HGG Adv (2021)
Type 2 diabetes (T2D) type 2 diabetes mellitus 582
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000804/ScoringFiles/PGS000804.txt.gz - Check Terms/Licenses
PGS000805
(GRS582_T2Deur)
PGP000193 |
Polfus LM et al. HGG Adv (2021)
Type 2 diabetes (T2D) type 2 diabetes mellitus 582
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000805/ScoringFiles/PGS000805.txt.gz - Check Terms/Licenses
PGS000806
(GRS582_T2Dafr)
PGP000193 |
Polfus LM et al. HGG Adv (2021)
Type 2 diabetes (T2D) type 2 diabetes mellitus 582
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000806/ScoringFiles/PGS000806.txt.gz - Check Terms/Licenses
PGS000807
(GRS582_T2Dasn)
PGP000193 |
Polfus LM et al. HGG Adv (2021)
Type 2 diabetes (T2D) type 2 diabetes mellitus 582
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000807/ScoringFiles/PGS000807.txt.gz - Check Terms/Licenses
PGS000808
(GRS582_T2Dhis)
PGP000193 |
Polfus LM et al. HGG Adv (2021)
Type 2 diabetes (T2D) type 2 diabetes mellitus 582
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000808/ScoringFiles/PGS000808.txt.gz - Check Terms/Licenses
PGS000832
(T2D-GRS)
PGP000211 |
Aly DM et al. Nat Genet (2021)
Type 2 diabetes (T2D) type 2 diabetes mellitus 384
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000832/ScoringFiles/PGS000832.txt.gz
PGS000848
(T2D_Adiposity)
PGP000211 |
Aly DM et al. Nat Genet (2021)
Type 2 diabetes (based on SNPs associated with adiposity) type 2 diabetes mellitus 6
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000848/ScoringFiles/PGS000848.txt.gz
PGS000849
(T2D_Impaired_Lipids)
PGP000211 |
Aly DM et al. Nat Genet (2021)
Type 2 diabetes (based on SNPs associated with impaired lipids) type 2 diabetes mellitus 3
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000849/ScoringFiles/PGS000849.txt.gz
PGS000850
(T2D_Insulin_Action)
PGP000211 |
Aly DM et al. Nat Genet (2021)
Type 2 diabetes (based on SNPs associated with insulin action) type 2 diabetes mellitus 16
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000850/ScoringFiles/PGS000850.txt.gz
PGS000851
(T2D_Insulin_Action_Secretion)
PGP000211 |
Aly DM et al. Nat Genet (2021)
Type 2 diabetes (based on SNPs associated with insulin action/secretion) type 2 diabetes mellitus 37
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000851/ScoringFiles/PGS000851.txt.gz
PGS000852
(T2D_Insulin_Secretion_1)
PGP000211 |
Aly DM et al. Nat Genet (2021)
Type 2 diabetes (based on SNPs associated with insulin secretion) type 2 diabetes mellitus 8
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000852/ScoringFiles/PGS000852.txt.gz
PGS000853
(T2D_Insulin_Secretion_2)
PGP000211 |
Aly DM et al. Nat Genet (2021)
Type 2 diabetes (based on SNPs associated with insulin secretion) type 2 diabetes mellitus 21
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000853/ScoringFiles/PGS000853.txt.gz
PGS000854
(T2D_BetaCell)
PGP000211 |
Aly DM et al. Nat Genet (2021)
Type 2 diabetes (based on SNPs associated with beta cell function) type 2 diabetes mellitus 27
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000854/ScoringFiles/PGS000854.txt.gz
PGS000855
(T2D_Lipodystrophy)
PGP000211 |
Aly DM et al. Nat Genet (2021)
Type 2 diabetes (based on SNPs associated with lipodystrophy) type 2 diabetes mellitus 18
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000855/ScoringFiles/PGS000855.txt.gz
PGS000856
(T2D_LiverLipids)
PGP000211 |
Aly DM et al. Nat Genet (2021)
Type 2 diabetes (based on SNPs associated with liver lipids) type 2 diabetes mellitus 3
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000856/ScoringFiles/PGS000856.txt.gz
PGS000857
(T2D_Obesity)
PGP000211 |
Aly DM et al. Nat Genet (2021)
Type 2 diabetes (based on SNPs associated with obesity) type 2 diabetes mellitus 4
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000857/ScoringFiles/PGS000857.txt.gz
PGS000858
(T2D_Proinsulin)
PGP000211 |
Aly DM et al. Nat Genet (2021)
Type 2 diabetes (based on SNPs associated with proinsulin levels) type 2 diabetes mellitus 6
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000858/ScoringFiles/PGS000858.txt.gz
PGS000864
(T2D-gPRS)
PGP000211 |
Aly DM et al. Nat Genet (2021)
Type 2 diabetes (T2D) type 2 diabetes mellitus 389,243
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000864/ScoringFiles/PGS000864.txt.gz
PGS000868
(T2D_221)
PGP000214 |
Aksit MA et al. J Clin Endocrinol Metab (2020)
Type 2 diabetes (T2D) type 2 diabetes mellitus 221
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000868/ScoringFiles/PGS000868.txt.gz
PGS001294
(GBE_HC649)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Non-insulin-dependent diabetes (time-to-event) type 2 diabetes mellitus 3,496
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001294/ScoringFiles/PGS001294.txt.gz
PGS001295
(GBE_HC165)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Type 2 diabetes (T2D) type 2 diabetes mellitus 385
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001295/ScoringFiles/PGS001295.txt.gz
PGS001357
(T2D_AnnoPred_PRS)
PGP000252 |
Ye Y et al. Circ Genom Precis Med (2021)
Type 2 diabetes (T2D) type 2 diabetes mellitus 2,996,761
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001357/ScoringFiles/PGS001357.txt.gz
PGS001781
(T2D_PRSCS)
PGP000261 |
Tamlander M et al. Commun Biol (2022)
Type 2 diabetes (T2D) type 2 diabetes mellitus 1,091,673
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001781/ScoringFiles/PGS001781.txt.gz
PGS001818
(portability-PLR_250.2)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Type 2 diabetes (T2D) type 2 diabetes mellitus 30,745
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001818/ScoringFiles/PGS001818.txt.gz
PGS002026
(portability-ldpred2_250.2)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Type 2 diabetes (T2D) type 2 diabetes mellitus 830,783
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002026/ScoringFiles/PGS002026.txt.gz
PGS002243
(ldpred_t2d)
PGP000271 |
Mars N et al. Cell Genom (2022)
Type 2 diabetes (T2D) type 2 diabetes mellitus 6,431,973
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002243/ScoringFiles/PGS002243.txt.gz
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 (T2D) type 2 diabetes mellitus 1,259,754
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002308/ScoringFiles/PGS002308.txt.gz
PGS002354
(disease_T2D.BOLT-LMM)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Type 2 diabetes (T2D) type 2 diabetes mellitus 1,109,311
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002354/ScoringFiles/PGS002354.txt.gz
PGS002379
(disease_T2D.BOLT-LMM-BBJ)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Type 2 diabetes (T2D) type 2 diabetes mellitus 920,930
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002379/ScoringFiles/PGS002379.txt.gz
PGS002426
(disease_T2D.P+T.0.0001)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Type 2 diabetes (T2D) type 2 diabetes mellitus 3,947
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002426/ScoringFiles/PGS002426.txt.gz
PGS002475
(disease_T2D.P+T.0.001)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Type 2 diabetes (T2D) type 2 diabetes mellitus 16,275
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002475/ScoringFiles/PGS002475.txt.gz
PGS002524
(disease_T2D.P+T.0.01)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Type 2 diabetes (T2D) type 2 diabetes mellitus 95,287
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002524/ScoringFiles/PGS002524.txt.gz
PGS002573
(disease_T2D.P+T.1e-06)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Type 2 diabetes (T2D) type 2 diabetes mellitus 673
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002573/ScoringFiles/PGS002573.txt.gz
PGS002622
(disease_T2D.P+T.5e-08)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Type 2 diabetes (T2D) type 2 diabetes mellitus 293
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002622/ScoringFiles/PGS002622.txt.gz
PGS002671
(disease_T2D.PolyFun-pred)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Type 2 diabetes (T2D) type 2 diabetes mellitus 258,382
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002671/ScoringFiles/PGS002671.txt.gz
PGS002720
(disease_T2D.SBayesR)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Type 2 diabetes (T2D) type 2 diabetes mellitus 911,809
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002720/ScoringFiles/PGS002720.txt.gz
PGS002733
(GRS17_T2D)
PGP000342 |
Pezzilli S et al. Diabetes Metab (2022)
Type 2 diabetes (T2D) type 2 diabetes mellitus 17
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002733/ScoringFiles/PGS002733.txt.gz
PGS002771
(Type_2_diabetes_prscs)
PGP000364 |
Mars N et al. Am J Hum Genet (2022)
Type 2 diabetes (T2D) type 2 diabetes mellitus 1,091,608
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002771/ScoringFiles/PGS002771.txt.gz
PGS002779
(GTG_T2D_maxCT)
PGP000365 |
Wong CK et al. PLoS One (2022)
Incident type 2 diabetes type 2 diabetes mellitus 46,353
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002779/ScoringFiles/PGS002779.txt.gz - Check Terms/Licenses
PGS002780
(GTG_T2D_SCT)
PGP000365 |
Wong CK et al. PLoS One (2022)
Incident type 2 diabetes type 2 diabetes mellitus 419,209
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002780/ScoringFiles/PGS002780.txt.gz - Check Terms/Licenses
PGS003089
(ExPRSweb_T2D_2443_LASSOSUM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 diabetes (T2D) type 2 diabetes mellitus 488,969
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003089/ScoringFiles/PGS003089.txt.gz
PGS003090
(ExPRSweb_T2D_2443_PT_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 diabetes (T2D) type 2 diabetes mellitus 1,888
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003090/ScoringFiles/PGS003090.txt.gz
PGS003091
(ExPRSweb_T2D_2443_PLINK_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 diabetes (T2D) type 2 diabetes mellitus 2,707
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003091/ScoringFiles/PGS003091.txt.gz
PGS003092
(ExPRSweb_T2D_2443_DBSLMM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 diabetes (T2D) type 2 diabetes mellitus 10,304,000
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003092/ScoringFiles/PGS003092.txt.gz
PGS003093
(ExPRSweb_T2D_2443_PRSCS_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 diabetes (T2D) type 2 diabetes mellitus 1,113,832
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003093/ScoringFiles/PGS003093.txt.gz
PGS003094
(ExPRSweb_T2D_29358691-GCST005413_LASSOSUM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 diabetes (T2D) type 2 diabetes mellitus 266,890
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003094/ScoringFiles/PGS003094.txt.gz
PGS003095
(ExPRSweb_T2D_29358691-GCST005413_PT_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 diabetes (T2D) type 2 diabetes mellitus 45
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003095/ScoringFiles/PGS003095.txt.gz
PGS003096
(ExPRSweb_T2D_29358691-GCST005413_PLINK_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 diabetes (T2D) type 2 diabetes mellitus 46
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003096/ScoringFiles/PGS003096.txt.gz
PGS003097
(ExPRSweb_T2D_29358691-GCST005413_DBSLMM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 diabetes (T2D) type 2 diabetes mellitus 229
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003097/ScoringFiles/PGS003097.txt.gz
PGS003098
(ExPRSweb_T2D_29358691-GCST005413_PRSCS_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 diabetes (T2D) type 2 diabetes mellitus 1,116,101
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003098/ScoringFiles/PGS003098.txt.gz
PGS003099
(ExPRSweb_T2D_30054458-GCST006867_LASSOSUM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 diabetes (T2D) type 2 diabetes mellitus 555,512
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003099/ScoringFiles/PGS003099.txt.gz
PGS003100
(ExPRSweb_T2D_30054458-GCST006867_PT_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 diabetes (T2D) type 2 diabetes mellitus 5,693
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003100/ScoringFiles/PGS003100.txt.gz
PGS003101
(ExPRSweb_T2D_30054458-GCST006867_PLINK_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 diabetes (T2D) type 2 diabetes mellitus 5,693
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003101/ScoringFiles/PGS003101.txt.gz
PGS003102
(ExPRSweb_T2D_30054458-GCST006867_DBSLMM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 diabetes (T2D) type 2 diabetes mellitus 5,052,574
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003102/ScoringFiles/PGS003102.txt.gz
PGS003103
(ExPRSweb_T2D_30054458-GCST006867_PRSCS_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 diabetes (T2D) type 2 diabetes mellitus 945,820
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003103/ScoringFiles/PGS003103.txt.gz
PGS003104
(ExPRSweb_T2D_METAANALYSIS-DIAGRAM_LASSOSUM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 diabetes (T2D) type 2 diabetes mellitus 374,510
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003104/ScoringFiles/PGS003104.txt.gz
PGS003105
(ExPRSweb_T2D_METAANALYSIS-DIAGRAM_PT_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 diabetes (T2D) type 2 diabetes mellitus 187
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003105/ScoringFiles/PGS003105.txt.gz
PGS003106
(ExPRSweb_T2D_METAANALYSIS-DIAGRAM_PLINK_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 diabetes (T2D) type 2 diabetes mellitus 187
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003106/ScoringFiles/PGS003106.txt.gz
PGS003107
(ExPRSweb_T2D_METAANALYSIS-DIAGRAM_DBSLMM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 diabetes (T2D) type 2 diabetes mellitus 995
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003107/ScoringFiles/PGS003107.txt.gz
PGS003108
(ExPRSweb_T2D_METAANALYSIS-DIAGRAM_PRSCS_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 diabetes (T2D) type 2 diabetes mellitus 1,118,480
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003108/ScoringFiles/PGS003108.txt.gz
PGS003109
(ExPRSweb_T2D_29358691-GCST005413_LASSOSUM_UKB_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 diabetes (T2D) type 2 diabetes mellitus 311,565
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003109/ScoringFiles/PGS003109.txt.gz
PGS003110
(ExPRSweb_T2D_29358691-GCST005413_PT_UKB_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 diabetes (T2D) type 2 diabetes mellitus 118
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003110/ScoringFiles/PGS003110.txt.gz
PGS003111
(ExPRSweb_T2D_29358691-GCST005413_PLINK_UKB_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 diabetes (T2D) type 2 diabetes mellitus 143
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003111/ScoringFiles/PGS003111.txt.gz
PGS003112
(ExPRSweb_T2D_29358691-GCST005413_DBSLMM_UKB_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 diabetes (T2D) type 2 diabetes mellitus 222
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003112/ScoringFiles/PGS003112.txt.gz
PGS003113
(ExPRSweb_T2D_29358691-GCST005413_PRSCS_UKB_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 diabetes (T2D) type 2 diabetes mellitus 1,117,087
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003113/ScoringFiles/PGS003113.txt.gz
PGS003114
(ExPRSweb_T2D_30054458-GCST006867_LASSOSUM_UKB_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 diabetes (T2D) type 2 diabetes mellitus 555,528
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003114/ScoringFiles/PGS003114.txt.gz
PGS003115
(ExPRSweb_T2D_30054458-GCST006867_PT_UKB_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 diabetes (T2D) type 2 diabetes mellitus 31,462
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003115/ScoringFiles/PGS003115.txt.gz
PGS003116
(ExPRSweb_T2D_30054458-GCST006867_PLINK_UKB_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 diabetes (T2D) type 2 diabetes mellitus 31,462
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003116/ScoringFiles/PGS003116.txt.gz
PGS003117
(ExPRSweb_T2D_30054458-GCST006867_DBSLMM_UKB_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 diabetes (T2D) type 2 diabetes mellitus 5,052,993
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003117/ScoringFiles/PGS003117.txt.gz
PGS003118
(ExPRSweb_T2D_30054458-GCST006867_PRSCS_UKB_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 diabetes (T2D) type 2 diabetes mellitus 945,921
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003118/ScoringFiles/PGS003118.txt.gz
PGS003119
(ExPRSweb_T2D_METAANALYSIS-DIAGRAM_LASSOSUM_UKB_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 diabetes (T2D) type 2 diabetes mellitus 407,553
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003119/ScoringFiles/PGS003119.txt.gz
PGS003120
(ExPRSweb_T2D_METAANALYSIS-DIAGRAM_PT_UKB_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 diabetes (T2D) type 2 diabetes mellitus 193
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003120/ScoringFiles/PGS003120.txt.gz
PGS003121
(ExPRSweb_T2D_METAANALYSIS-DIAGRAM_PLINK_UKB_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 diabetes (T2D) type 2 diabetes mellitus 193
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003121/ScoringFiles/PGS003121.txt.gz
PGS003122
(ExPRSweb_T2D_METAANALYSIS-DIAGRAM_DBSLMM_UKB_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 diabetes (T2D) type 2 diabetes mellitus 264
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003122/ScoringFiles/PGS003122.txt.gz
PGS003123
(ExPRSweb_T2D_METAANALYSIS-DIAGRAM_PRSCS_UKB_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Type 2 diabetes (T2D) type 2 diabetes mellitus 1,119,522
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003123/ScoringFiles/PGS003123.txt.gz
PGS003353
(GRS_T2D)
PGP000405 |
Kim YJ et al. Nat Commun (2022)
Type 2 diabetes (T2D) type 2 diabetes mellitus 287
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003353/ScoringFiles/PGS003353.txt.gz
PGS003402
(PRS_T2D)
PGP000419 |
Lamri A et al. Elife (2022)
Type 2 diabetes (T2D) type 2 diabetes mellitus 6,838
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003402/ScoringFiles/PGS003402.txt.gz
PGS003443
(PRScsx_T2D_LAT_EURweights)
PGP000445 |
Huerta-Chagoya A et al. Diabetologia (2023)
Type 2 diabetes (T2D) type 2 diabetes mellitus 1,092,496
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003443/ScoringFiles/PGS003443.txt.gz
PGS003444
(PRScsx_T2D_LAT_EASweights)
PGP000445 |
Huerta-Chagoya A et al. Diabetologia (2023)
Type 2 diabetes (T2D) type 2 diabetes mellitus 1,001,579
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003444/ScoringFiles/PGS003444.txt.gz
PGS003445
(PRScsx_T2D_LAT_LATweights)
PGP000445 |
Huerta-Chagoya A et al. Diabetologia (2023)
Type 2 diabetes (T2D) type 2 diabetes mellitus 1,149,210
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003445/ScoringFiles/PGS003445.txt.gz
PGS003728
(PS_T2D_183-AGEN)
PGP000469 |
Wedekind LE et al. Diabetologia (2023)
Type 2 diabetes (T2D) type 2 diabetes mellitus 183
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003728/ScoringFiles/PGS003728.txt.gz
PGS003729
(PS_T2D_293-DIAGRAM)
PGP000469 |
Wedekind LE et al. Diabetologia (2023)
Type 2 diabetes (T2D) type 2 diabetes mellitus 293
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003729/ScoringFiles/PGS003729.txt.gz
PGS003730
(PS_T2D_287-DIAMANTE)
PGP000469 |
Wedekind LE et al. Diabetologia (2023)
Type 2 diabetes (T2D) type 2 diabetes mellitus 287
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003730/ScoringFiles/PGS003730.txt.gz
PGS003731
(PS_T2D_282-SAS-DIAMANTE)
PGP000469 |
Wedekind LE et al. Diabetologia (2023)
Type 2 diabetes (T2D) type 2 diabetes mellitus 282
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003731/ScoringFiles/PGS003731.txt.gz
PGS003732
(PS_T2D_287-HIS-DIAMANTE)
PGP000469 |
Wedekind LE et al. Diabetologia (2023)
Type 2 diabetes (T2D) type 2 diabetes mellitus 287
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003732/ScoringFiles/PGS003732.txt.gz
PGS003733
(PS_T2D_287-EUR-DIAMANTE)
PGP000469 |
Wedekind LE et al. Diabetologia (2023)
Type 2 diabetes (T2D) type 2 diabetes mellitus 287
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003733/ScoringFiles/PGS003733.txt.gz
PGS003734
(PS_T2D_280-EAS-DIAMANTE)
PGP000469 |
Wedekind LE et al. Diabetologia (2023)
Type 2 diabetes (T2D) type 2 diabetes mellitus 280
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003734/ScoringFiles/PGS003734.txt.gz
PGS003735
(PS_T2D_276-AFR-DIAMANTE)
PGP000469 |
Wedekind LE et al. Diabetologia (2023)
Type 2 diabetes (T2D) type 2 diabetes mellitus 276
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003735/ScoringFiles/PGS003735.txt.gz
PGS003751
(ModelT2D_over45)
PGP000472 |
Shoaib M et al. Genet Epidemiol (2023)
Type 2 diabetes (T2D) type 2 diabetes mellitus 354
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003751/ScoringFiles/PGS003751.txt.gz
PGS003752
(ModelT2D)
PGP000472 |
Shoaib M et al. Genet Epidemiol (2023)
Type 2 diabetes (T2D) type 2 diabetes mellitus 333
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003752/ScoringFiles/PGS003752.txt.gz
PGS003867
(T2D_PRScs_ARB)
PGP000501 |
Shim I et al. Nature Communications (2023)
Type 2 diabetes (T2D) type 2 diabetes mellitus 1,068,166
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003867/ScoringFiles/PGS003867.txt.gz
PGS003982
(dbslmm.auto.GCST004773.T2D)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Type 2 diabetes (T2D) type 2 diabetes mellitus 1,071,764
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003982/ScoringFiles/PGS003982.txt.gz
PGS003998
(lassosum.auto.GCST004773.T2D)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Type 2 diabetes (T2D) type 2 diabetes mellitus 5,548
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003998/ScoringFiles/PGS003998.txt.gz
PGS004014
(lassosum.CV.GCST004773.T2D)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Type 2 diabetes (T2D) type 2 diabetes mellitus 95,649
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004014/ScoringFiles/PGS004014.txt.gz
PGS004024
(ldpred2.auto.GCST004773.T2D)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Type 2 diabetes (T2D) type 2 diabetes mellitus 958,046
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004024/ScoringFiles/PGS004024.txt.gz
PGS004039
(ldpred2.CV.GCST004773.T2D)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Type 2 diabetes (T2D) type 2 diabetes mellitus 958,046
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004039/ScoringFiles/PGS004039.txt.gz
PGS004052
(megaprs.auto.GCST004773.T2D)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Type 2 diabetes (T2D) type 2 diabetes mellitus 800,598
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004052/ScoringFiles/PGS004052.txt.gz
PGS004068
(megaprs.CV.GCST004773.T2D)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Type 2 diabetes (T2D) type 2 diabetes mellitus 800,598
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004068/ScoringFiles/PGS004068.txt.gz
PGS004082
(prscs.auto.GCST004773.T2D)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Type 2 diabetes (T2D) type 2 diabetes mellitus 1,043,329
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004082/ScoringFiles/PGS004082.txt.gz
PGS004106
(pt_clump.auto.GCST004773.T2D)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Type 2 diabetes (T2D) type 2 diabetes mellitus 35
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004106/ScoringFiles/PGS004106.txt.gz
PGS004122
(pt_clump_nested.CV.GCST004773.T2D)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Type 2 diabetes (T2D) type 2 diabetes mellitus 297
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004122/ScoringFiles/PGS004122.txt.gz
PGS004136
(sbayesr.auto.GCST004773.T2D)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Type 2 diabetes (T2D) type 2 diabetes mellitus 930,497
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004136/ScoringFiles/PGS004136.txt.gz
PGS004152
(UKBB_EnsPGS.GCST004773.T2D)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Type 2 diabetes (T2D) type 2 diabetes mellitus 1,071,786
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004152/ScoringFiles/PGS004152.txt.gz
PGS004181
(t2d_1)
PGP000520 |
Raben TG et al. Sci Rep (2023)
Type 2 diabetes type 2 diabetes mellitus 10,202
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004181/ScoringFiles/PGS004181.txt.gz
PGS004182
(t2d_2)
PGP000520 |
Raben TG et al. Sci Rep (2023)
Type 2 diabetes type 2 diabetes mellitus 10,778
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004182/ScoringFiles/PGS004182.txt.gz
PGS004183
(t2d_3)
PGP000520 |
Raben TG et al. Sci Rep (2023)
Type 2 diabetes type 2 diabetes mellitus 8,154
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004183/ScoringFiles/PGS004183.txt.gz
PGS004184
(t2d_4)
PGP000520 |
Raben TG et al. Sci Rep (2023)
Type 2 diabetes type 2 diabetes mellitus 9,645
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004184/ScoringFiles/PGS004184.txt.gz
PGS004185
(t2d_5)
PGP000520 |
Raben TG et al. Sci Rep (2023)
Type 2 diabetes type 2 diabetes mellitus 3,277
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004185/ScoringFiles/PGS004185.txt.gz
PGS004223
(PRS139_T2D)
PGP000523 |
Lin J et al. Sci Total Environ (2023)
Type 2 diabetes type 2 diabetes mellitus 139
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004223/ScoringFiles/PGS004223.txt.gz
PGS004225
(PRS46_T2DEastAsia)
PGP000526 |
Liu J et al. Nutrients (2023)
Type 2 diabetes type 2 diabetes mellitus 46
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004225/ScoringFiles/PGS004225.txt.gz
PGS004226
(PRS50_T2DEur)
PGP000526 |
Liu J et al. Nutrients (2023)
Type 2 diabetes type 2 diabetes mellitus 50
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004226/ScoringFiles/PGS004226.txt.gz
PGS004310
(GenoBoost_type_2_diabetes_0)
PGP000546 |
Ohta R et al. Nat Commun (2024)
Type 2 diabetes (T2D) type 2 diabetes mellitus 7,000
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004310/ScoringFiles/PGS004310.txt.gz
PGS004311
(GenoBoost_type_2_diabetes_1)
PGP000546 |
Ohta R et al. Nat Commun (2024)
Type 2 diabetes (T2D) type 2 diabetes mellitus 4,000
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004311/ScoringFiles/PGS004311.txt.gz
PGS004312
(GenoBoost_type_2_diabetes_2)
PGP000546 |
Ohta R et al. Nat Commun (2024)
Type 2 diabetes (T2D) type 2 diabetes mellitus 7,000
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004312/ScoringFiles/PGS004312.txt.gz
PGS004313
(GenoBoost_type_2_diabetes_3)
PGP000546 |
Ohta R et al. Nat Commun (2024)
Type 2 diabetes (T2D) type 2 diabetes mellitus 8,000
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004313/ScoringFiles/PGS004313.txt.gz
PGS004314
(GenoBoost_type_2_diabetes_4)
PGP000546 |
Ohta R et al. Nat Commun (2024)
Type 2 diabetes (T2D) type 2 diabetes mellitus 6,000
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004314/ScoringFiles/PGS004314.txt.gz
PGS004323
(PRS91_T2D)
PGP000557 |
Tan Q et al. J Hazard Mater (2023)
Type 2 diabetes type 2 diabetes mellitus 91
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004323/ScoringFiles/PGS004323.txt.gz
PGS004499
(disease.T2D.score)
PGP000561 |
Jung H et al. Commun Biol (2024)
Type 2 diabetes (T2D) type 2 diabetes mellitus 1,059,939
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004499/ScoringFiles/PGS004499.txt.gz
PGS004569
(meta.T2D.score)
PGP000561 |
Jung H et al. Commun Biol (2024)
Type 2 diabetes (T2D) type 2 diabetes mellitus 1,059,939
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004569/ScoringFiles/PGS004569.txt.gz
PGS004602
(PRS424_T2D)
PGP000580 |
Zhuang P et al. Diabetes Care (2021)
Type 2 diabetes (T2D) type 2 diabetes mellitus 424
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004602/ScoringFiles/PGS004602.txt.gz
PGS004837
(t2d_PRSmix_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Type 2 diabetes (T2D) type 2 diabetes mellitus 3,306,136
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004837/ScoringFiles/PGS004837.txt.gz
PGS004838
(t2d_PRSmix_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Type 2 diabetes (T2D) type 2 diabetes mellitus 6,586,458
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004838/ScoringFiles/PGS004838.txt.gz
PGS004839
(t2d_PRSmixPlus_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Type 2 diabetes (T2D) type 2 diabetes mellitus 4,594,694
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004839/ScoringFiles/PGS004839.txt.gz
PGS004840
(t2d_PRSmixPlus_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Type 2 diabetes (T2D) type 2 diabetes mellitus 6,586,458
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004840/ScoringFiles/PGS004840.txt.gz
PGS004859
(T2D_PRS_CS)
PGP000605 |
Deutsch AJ et al. Diabetes Care (2023)
Type 2 diabetes (T2D) type 2 diabetes mellitus 1,108,235
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004859/ScoringFiles/PGS004859.txt.gz
PGS004868
(T2DPGS)
PGP000617 |
Yun JS et al. Cardiovasc Diabetol (2022)
Type 2 diabetes (T2D) type 2 diabetes mellitus 6,580,804
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004868/ScoringFiles/PGS004868.txt.gz
PGS004887
(T2D_gePGS)
PGP000619 |
Mandla R et al. Genome Med (2024)
Type 2 diabetes (T2D) type 2 diabetes mellitus 1,117,628
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004887/ScoringFiles/PGS004887.txt.gz

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
PPM015522 PGS000014
(GPS_T2D)
PSS009971|
Multi-ancestry (including European)|
36,422 individuals
PGP000381 |
Hao L et al. Nat Med (2022)
|Ext.
Reported Trait: Type 2 diabetes mellitus OR: 1.75 [1.57, 1.95] 4 genetic PCs
PPM019100 PGS000014
(GPS_T2D)
PSS011181|
Ancestry Not Reported|
3,071 individuals
PGP000504 |
Duschek E et al. Sci Rep (2023)
|Ext.
Reported Trait: Incident type 2 diabetes AUROC: 0.613 [0.565, 0.657]
PPM019098 PGS000014
(GPS_T2D)
PSS011181|
Ancestry Not Reported|
3,071 individuals
PGP000504 |
Duschek E et al. Sci Rep (2023)
|Ext.
Reported Trait: Incident type 2 diabetes OR: 1.67 [1.37, 2.03] Age, Sex, BMI, Physical activity, FamRS
PPM019099 PGS000014
(GPS_T2D)
PSS011181|
Ancestry Not Reported|
3,071 individuals
PGP000504 |
Duschek E et al. Sci Rep (2023)
|Ext.
Reported Trait: Prevelant type 2 diabetes AUROC: 0.869 [0.842, 0.896]
PPM019097 PGS000014
(GPS_T2D)
PSS011181|
Ancestry Not Reported|
3,071 individuals
PGP000504 |
Duschek E et al. Sci Rep (2023)
|Ext.
Reported Trait: Prevelant type 2 diabetes OR: 6.21 [5.06, 7.74] Age, Sex, BMI, Physical activity, FamRS
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
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]
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
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
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)
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
PPM002117 PGS000804
(GRS582_T2Dmulti)
PSS001044|
African Ancestry|
15,609 individuals
PGP000193 |
Polfus LM et al. HGG Adv (2021)
Reported Trait: Type 2 diabetes AUROC: 0.568 [0.5588, 0.5772] Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts.
PPM002119 PGS000804
(GRS582_T2Dmulti)
PSS001046|
European Ancestry|
423,729 individuals
PGP000193 |
Polfus LM et al. HGG Adv (2021)
Reported Trait: Type 2 diabetes AUROC: 0.825 [0.8222, 0.8279] Odds Ratio (OR, top 10% vs middle 20%): 2.94 [2.8, 3.08] Age, sex, body mass index, PCs(1-10) Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts.
PPM002121 PGS000804
(GRS582_T2Dmulti)
PSS001046|
European Ancestry|
423,729 individuals
PGP000193 |
Polfus LM et al. HGG Adv (2021)
Reported Trait: Type 2 diabetes AUROC: 0.6586 [0.6547, 0.6624] Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts.
PPM002123 PGS000804
(GRS582_T2Dmulti)
PSS001047|
Hispanic or Latin American Ancestry|
20,486 individuals
PGP000193 |
Polfus LM et al. HGG Adv (2021)
Reported Trait: Type 2 diabetes AUROC: 0.7293 [0.721, 0.7376] Odds Ratio (OR, top 10% vs middle 20%): 2.39 [2.1, 2.73] Age, sex, body mass index, study, PCs(1-10) Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts.
PPM002125 PGS000804
(GRS582_T2Dmulti)
PSS001047|
Hispanic or Latin American Ancestry|
20,486 individuals
PGP000193 |
Polfus LM et al. HGG Adv (2021)
Reported Trait: Type 2 diabetes AUROC: 0.6249 [0.6156, 0.6342] Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts.
PPM002127 PGS000804
(GRS582_T2Dmulti)
PSS001045|
Additional Asian Ancestries|
4,576 individuals
PGP000193 |
Polfus LM et al. HGG Adv (2021)
Reported Trait: Type 2 diabetes AUROC: 0.8411 [0.8298, 0.8523] Odds Ratio (OR, top 10% vs middle 20%): 3.08 [2.4, 3.95] Age, sex, body mass index, study, PCs(1-10) Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts.
PPM002129 PGS000804
(GRS582_T2Dmulti)
PSS001045|
Additional Asian Ancestries|
4,576 individuals
PGP000193 |
Polfus LM et al. HGG Adv (2021)
Reported Trait: Type 2 diabetes AUROC: 0.6263 [0.6101, 0.6425] Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts.
PPM002131 PGS000804
(GRS582_T2Dmulti)
PSS001048|
Additional Diverse Ancestries|
3,551 individuals
PGP000193 |
Polfus LM et al. HGG Adv (2021)
Reported Trait: Type 2 diabetes AUROC: 0.7989 [0.7845, 0.8133] Odds Ratio (OR, top 10% vs middle 20%): 2.02 [1.54, 2.65] Age, sex, body mass index, PCs(1-10) Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts.
PPM002133 PGS000804
(GRS582_T2Dmulti)
PSS001048|
Additional Diverse Ancestries|
3,551 individuals
PGP000193 |
Polfus LM et al. HGG Adv (2021)
Reported Trait: Type 2 diabetes AUROC: 0.6214 [0.603, 0.6399] Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts.
PPM002115 PGS000804
(GRS582_T2Dmulti)
PSS001044|
African Ancestry|
15,609 individuals
PGP000193 |
Polfus LM et al. HGG Adv (2021)
Reported Trait: Type 2 diabetes AUROC: 0.6701 [0.6615, 0.6788] Odds Ratio (OR, top 10% vs middle 20%): 1.57 [1.39, 1.77] Age, sex, body mass index, study, PCs(1-10) Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts.
PPM002120 PGS000805
(GRS582_T2Deur)
PSS001046|
European Ancestry|
423,729 individuals
PGP000193 |
Polfus LM et al. HGG Adv (2021)
Reported Trait: Type 2 diabetes AUROC: 0.8253 [0.8224, 0.8281] Odds Ratio (OR, top 10% vs middle 20%): 2.95 [2.81, 3.1] Age, sex, body mass index, PCs(1-10) Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts.
PPM002122 PGS000805
(GRS582_T2Deur)
PSS001046|
European Ancestry|
423,729 individuals
PGP000193 |
Polfus LM et al. HGG Adv (2021)
Reported Trait: Type 2 diabetes AUROC: 0.6593 [0.6555, 0.6632] Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts.
PPM002134 PGS000805
(GRS582_T2Deur)
PSS001048|
Additional Diverse Ancestries|
3,551 individuals
PGP000193 |
Polfus LM et al. HGG Adv (2021)
Reported Trait: Type 2 diabetes AUROC: 0.6213 [0.6029, 0.6397] Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. Population-specific weights were not available for indiviuals of an Oceanian ancestry (Native Hawaiian). Therefore, GRS582_T2Deur was utilised to predict type 2 diabetes in individuals of an Oceanian ancestry.
PPM002132 PGS000805
(GRS582_T2Deur)
PSS001048|
Additional Diverse Ancestries|
3,551 individuals
PGP000193 |
Polfus LM et al. HGG Adv (2021)
Reported Trait: Type 2 diabetes AUROC: 0.7985 [0.7842, 0.8129] Odds Ratio (OR, top 10% vs middle 20%): 2.13 [1.63, 2.79] Age, sex, body mass index, PCs(1-10) Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. Population-specific weights were not available for indiviuals of an Oceanian ancestry (Native Hawaiian). Therefore, GRS582_T2Deur was utilised to predict type 2 diabetes in individuals of an Oceanian ancestry.
PPM002116 PGS000806
(GRS582_T2Dafr)
PSS001044|
African Ancestry|
15,609 individuals
PGP000193 |
Polfus LM et al. HGG Adv (2021)
Reported Trait: Type 2 diabetes AUROC: 0.6656 [0.6569, 0.6743] Odds Ratio (OR, top 10% vs middle 20%): 1.53 [1.36, 1.73] Age, sex, body mass index, study, PCs(1-10) Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts.
PPM002118 PGS000806
(GRS582_T2Dafr)
PSS001044|
African Ancestry|
15,609 individuals
PGP000193 |
Polfus LM et al. HGG Adv (2021)
Reported Trait: Type 2 diabetes AUROC: 0.5592 [0.5499, 0.5684] Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts.
PPM002128 PGS000807
(GRS582_T2Dasn)
PSS001045|
Additional Asian Ancestries|
4,576 individuals
PGP000193 |
Polfus LM et al. HGG Adv (2021)
Reported Trait: Type 2 diabetes AUROC: 0.8388 [0.8274, 0.8502] Odds Ratio (OR, top 10% vs middle 20%): 2.84 [2.21, 3.65] Age, sex, body mass index, study, PCs(1-10) Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts.
PPM002130 PGS000807
(GRS582_T2Dasn)
PSS001045|
Additional Asian Ancestries|
4,576 individuals
PGP000193 |
Polfus LM et al. HGG Adv (2021)
Reported Trait: Type 2 diabetes AUROC: 0.6161 [0.5998, 0.6324] Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts.
PPM002135 PGS000807
(GRS582_T2Dasn)
PSS001048|
Additional Diverse Ancestries|
3,551 individuals
PGP000193 |
Polfus LM et al. HGG Adv (2021)
Reported Trait: Type 2 diabetes AUROC: 0.7909 [0.7763, 0.8056] Odds Ratio (OR, top 10% vs middle 20%): 1.62 [1.23, 2.14] Age, sex, body mass index, PCs(1-10) Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. Population-specific weights were not available for indiviuals of an Oceanian ancestry (Native Hawaiian). Therefore, GRS582_T2Dasn was utilised to predict type 2 diabetes in individuals of an Oceanian ancestry.
PPM002136 PGS000807
(GRS582_T2Dasn)
PSS001048|
Additional Diverse Ancestries|
3,551 individuals
PGP000193 |
Polfus LM et al. HGG Adv (2021)
Reported Trait: Type 2 diabetes AUROC: 0.5768 [0.558, 0.5956] Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts. Population-specific weights were not available for indiviuals of an Oceanian ancestry (Native Hawaiian). Therefore, GRS582_T2Dasn was utilised to predict type 2 diabetes in individuals of an Oceanian ancestry.
PPM002124 PGS000808
(GRS582_T2Dhis)
PSS001047|
Hispanic or Latin American Ancestry|
20,486 individuals
PGP000193 |
Polfus LM et al. HGG Adv (2021)
Reported Trait: Type 2 diabetes AUROC: 0.7202 [0.7118, 0.7286] Odds Ratio (OR, top 10% vs middle 20%): 2.04 [1.79, 2.32] Age, sex, body mass index, study, PCs(1-10) Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts.
PPM002126 PGS000808
(GRS582_T2Dhis)
PSS001047|
Hispanic or Latin American Ancestry|
20,486 individuals
PGP000193 |
Polfus LM et al. HGG Adv (2021)
Reported Trait: Type 2 diabetes AUROC: 0.6098 [0.6004, 0.6192] Only 579 SNPs from the 582 SNP GRS, were utilised with imputation INFO scores > 0.45. 3 SNPs were not included as they were not present in the cohorts.
PPM002240 PGS000832
(T2D-GRS)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.24 [1.16, 1.34] PC1-10
PPM002242 PGS000832
(T2D-GRS)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 1.77 [1.67, 1.88] PC1-10
PPM002239 PGS000832
(T2D-GRS)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.96 [1.81, 2.12] PC1-10
PPM002238 PGS000832
(T2D-GRS)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 1.28 [1.16, 1.42] PC1-10
PPM002241 PGS000832
(T2D-GRS)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.73 [1.61, 1.86] PC1-10
PPM020163 PGS000832
(T2D-GRS)
PSS011301|
South Asian Ancestry|
1,282 individuals
PGP000525 |
Yajnik CS et al. Lancet Reg Health Southeast Asia (2023)
|Ext.
Reported Trait: Type 2 diabetes OR: 1.78 [1.49, 2.13] age, sex and BMI Evaluated on 381 of 384 SNPs based on the availability of variants in the cohort
PPM020196 PGS000832
(T2D-GRS)
PSS011303|
South Asian Ancestry|
729 individuals
PGP000525 |
Yajnik CS et al. Lancet Reg Health Southeast Asia (2023)
|Ext.
Reported Trait: Mild obesity-related diabetes OR: 1.5 [1.27, 1.76] sex Evaluated on 381 of 384 SNPs based on the availability of variants in the cohort
PPM020207 PGS000832
(T2D-GRS)
PSS011305|
South Asian Ancestry|
624 individuals
PGP000525 |
Yajnik CS et al. Lancet Reg Health Southeast Asia (2023)
|Ext.
Reported Trait: Mild age-related diabetes OR: 1.54 [1.27, 1.87] sex Evaluated on 381 of 384 SNPs based on the availability of variants in the cohort
PPM020184 PGS000832
(T2D-GRS)
PSS011302|
South Asian Ancestry|
830 individuals
PGP000525 |
Yajnik CS et al. Lancet Reg Health Southeast Asia (2023)
|Ext.
Reported Trait: Severe insulin deficiency diabetes OR: 1.66 [1.42, 1.93] sex Evaluated on 381 of 384 SNPs based on the availability of variants in the cohort
PPM002323 PGS000848
(T2D_Adiposity)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 1.11 [1.0, 1.23] PC1-10
PPM002324 PGS000848
(T2D_Adiposity)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.1 [1.02, 1.18] PC1-10
PPM002325 PGS000848
(T2D_Adiposity)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.11 [1.03, 1.19] PC1-10
PPM002326 PGS000848
(T2D_Adiposity)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.2 [1.12, 1.28] PC1-10
PPM002327 PGS000848
(T2D_Adiposity)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 1.06 [1.0, 1.12] PC1-10
PPM020167 PGS000848
(T2D_Adiposity)
PSS011301|
South Asian Ancestry|
1,282 individuals
PGP000525 |
Yajnik CS et al. Lancet Reg Health Southeast Asia (2023)
|Ext.
Reported Trait: Type 2 diabetes OR: 1.14 [1.01, 1.28] sex
PPM020183 PGS000848
(T2D_Adiposity)
PSS011301|
South Asian Ancestry|
1,282 individuals
PGP000525 |
Yajnik CS et al. Lancet Reg Health Southeast Asia (2023)
|Ext.
Reported Trait: BMI β: 0.06772 (0.027943)
PPM020187 PGS000848
(T2D_Adiposity)
PSS011302|
South Asian Ancestry|
830 individuals
PGP000525 |
Yajnik CS et al. Lancet Reg Health Southeast Asia (2023)
|Ext.
Reported Trait: Severe insulin deficiency diabetes OR: 1.23 [1.07, 1.43] sex
PPM002329 PGS000849
(T2D_Impaired_Lipids)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.07 [1.0, 1.15] PC1-10
PPM002330 PGS000849
(T2D_Impaired_Lipids)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.09 [1.01, 1.17] PC1-10
PPM002331 PGS000849
(T2D_Impaired_Lipids)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.0 [0.93, 1.07] PC1-10
PPM002332 PGS000849
(T2D_Impaired_Lipids)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 1.06 [1.0, 1.12] PC1-10
PPM002328 PGS000849
(T2D_Impaired_Lipids)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 1.08 [0.97, 1.2] PC1-10
PPM020176 PGS000849
(T2D_Impaired_Lipids)
PSS011301|
South Asian Ancestry|
1,282 individuals
PGP000525 |
Yajnik CS et al. Lancet Reg Health Southeast Asia (2023)
|Ext.
Reported Trait: Type 2 diabetes OR: 1.2 [1.0, 1.44] age, sex and BMI
PPM020194 PGS000849
(T2D_Impaired_Lipids)
PSS011302|
South Asian Ancestry|
830 individuals
PGP000525 |
Yajnik CS et al. Lancet Reg Health Southeast Asia (2023)
|Ext.
Reported Trait: Severe insulin deficiency diabetes OR: 1.2 [1.03, 1.4] sex
PPM020204 PGS000849
(T2D_Impaired_Lipids)
PSS011303|
South Asian Ancestry|
729 individuals
PGP000525 |
Yajnik CS et al. Lancet Reg Health Southeast Asia (2023)
|Ext.
Reported Trait: Mild obesity-related diabetes OR: 1.26 [1.07, 1.49] sex
PPM002333 PGS000850
(T2D_Insulin_Action)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 1.08 [0.98, 1.2] PC1-10
PPM002334 PGS000850
(T2D_Insulin_Action)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.17 [1.09, 1.25] PC1-10
PPM002335 PGS000850
(T2D_Insulin_Action)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.17 [1.09, 1.26] PC1-10
PPM002337 PGS000850
(T2D_Insulin_Action)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 1.16 [1.1, 1.23] PC1-10
PPM002336 PGS000850
(T2D_Insulin_Action)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.14 [1.07, 1.22] PC1-10
PPM020173 PGS000850
(T2D_Insulin_Action)
PSS011301|
South Asian Ancestry|
1,282 individuals
PGP000525 |
Yajnik CS et al. Lancet Reg Health Southeast Asia (2023)
|Ext.
Reported Trait: Type 2 diabetes OR: 1.16 [1.03, 1.3] sex
PPM020201 PGS000850
(T2D_Insulin_Action)
PSS011303|
South Asian Ancestry|
729 individuals
PGP000525 |
Yajnik CS et al. Lancet Reg Health Southeast Asia (2023)
|Ext.
Reported Trait: Mild obesity-related diabetes OR: 1.17 [1.0, 1.36] sex
PPM020213 PGS000850
(T2D_Insulin_Action)
PSS011305|
South Asian Ancestry|
624 individuals
PGP000525 |
Yajnik CS et al. Lancet Reg Health Southeast Asia (2023)
|Ext.
Reported Trait: Mild age-related diabetes OR: 1.26 [1.04, 1.53] sex
PPM002338 PGS000851
(T2D_Insulin_Action_Secretion)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 1.24 [1.12, 1.37] PC1-10
PPM002339 PGS000851
(T2D_Insulin_Action_Secretion)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.23 [1.15, 1.32] PC1-10
PPM002340 PGS000851
(T2D_Insulin_Action_Secretion)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.04 [0.97, 1.11] PC1-10
PPM002341 PGS000851
(T2D_Insulin_Action_Secretion)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.19 [1.12, 1.28] PC1-10
PPM002342 PGS000851
(T2D_Insulin_Action_Secretion)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 1.19 [1.13, 1.26] PC1-10
PPM020172 PGS000851
(T2D_Insulin_Action_Secretion)
PSS011301|
South Asian Ancestry|
1,282 individuals
PGP000525 |
Yajnik CS et al. Lancet Reg Health Southeast Asia (2023)
|Ext.
Reported Trait: Type 2 diabetes OR: 1.07 [0.9, 1.28] age, sex and BMI
PPM020192 PGS000851
(T2D_Insulin_Action_Secretion)
PSS011302|
South Asian Ancestry|
830 individuals
PGP000525 |
Yajnik CS et al. Lancet Reg Health Southeast Asia (2023)
|Ext.
Reported Trait: Severe insulin deficiency diabetes OR: 1.17 [1.01, 1.34] sex
PPM020212 PGS000851
(T2D_Insulin_Action_Secretion)
PSS011305|
South Asian Ancestry|
624 individuals
PGP000525 |
Yajnik CS et al. Lancet Reg Health Southeast Asia (2023)
|Ext.
Reported Trait: Mild age-related diabetes OR: 1.45 [1.19, 1.78] sex
PPM002343 PGS000852
(T2D_Insulin_Secretion_1)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 1.01 [0.91, 1.12] PC1-10
PPM002344 PGS000852
(T2D_Insulin_Secretion_1)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.31 [1.22, 1.41] PC1-10
PPM002345 PGS000852
(T2D_Insulin_Secretion_1)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.04 [0.97, 1.12] PC1-10
PPM002347 PGS000852
(T2D_Insulin_Secretion_1)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 1.29 [1.22, 1.37] PC1-10
PPM002346 PGS000852
(T2D_Insulin_Secretion_1)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.26 [1.18, 1.35] PC1-10
PPM020170 PGS000852
(T2D_Insulin_Secretion_1)
PSS011301|
South Asian Ancestry|
1,282 individuals
PGP000525 |
Yajnik CS et al. Lancet Reg Health Southeast Asia (2023)
|Ext.
Reported Trait: Type 2 diabetes OR: 1.33 [1.12, 1.58] age, sex and BMI
PPM020190 PGS000852
(T2D_Insulin_Secretion_1)
PSS011302|
South Asian Ancestry|
830 individuals
PGP000525 |
Yajnik CS et al. Lancet Reg Health Southeast Asia (2023)
|Ext.
Reported Trait: Severe insulin deficiency diabetes OR: 1.38 [1.19, 1.59] sex
PPM020199 PGS000852
(T2D_Insulin_Secretion_1)
PSS011303|
South Asian Ancestry|
729 individuals
PGP000525 |
Yajnik CS et al. Lancet Reg Health Southeast Asia (2023)
|Ext.
Reported Trait: Mild obesity-related diabetes OR: 1.25 [1.08, 1.46] sex
PPM020210 PGS000852
(T2D_Insulin_Secretion_1)
PSS011305|
South Asian Ancestry|
624 individuals
PGP000525 |
Yajnik CS et al. Lancet Reg Health Southeast Asia (2023)
|Ext.
Reported Trait: Mild age-related diabetes OR: 1.33 [1.1, 1.61] sex
PPM002348 PGS000853
(T2D_Insulin_Secretion_2)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 0.99 [0.9, 1.1] PC1-10
PPM002349 PGS000853
(T2D_Insulin_Secretion_2)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.26 [1.18, 1.36] PC1-10
PPM002350 PGS000853
(T2D_Insulin_Secretion_2)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.02 [0.95, 1.09] PC1-10
PPM002351 PGS000853
(T2D_Insulin_Secretion_2)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.18 [1.11, 1.27] PC1-10
PPM002352 PGS000853
(T2D_Insulin_Secretion_2)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 1.23 [1.17, 1.3] PC1-10
PPM020171 PGS000853
(T2D_Insulin_Secretion_2)
PSS011301|
South Asian Ancestry|
1,282 individuals
PGP000525 |
Yajnik CS et al. Lancet Reg Health Southeast Asia (2023)
|Ext.
Reported Trait: Type 2 diabetes OR: 1.32 [1.11, 1.57] age, sex and BMI
PPM020200 PGS000853
(T2D_Insulin_Secretion_2)
PSS011303|
South Asian Ancestry|
729 individuals
PGP000525 |
Yajnik CS et al. Lancet Reg Health Southeast Asia (2023)
|Ext.
Reported Trait: Mild obesity-related diabetes OR: 1.24 [1.07, 1.45] sex
PPM020211 PGS000853
(T2D_Insulin_Secretion_2)
PSS011305|
South Asian Ancestry|
624 individuals
PGP000525 |
Yajnik CS et al. Lancet Reg Health Southeast Asia (2023)
|Ext.
Reported Trait: Mild age-related diabetes OR: 1.32 [1.1, 1.59] sex
PPM002353 PGS000854
(T2D_BetaCell)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 1.0 [0.91, 1.11] PC1-10
PPM002354 PGS000854
(T2D_BetaCell)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.32 [1.23, 1.42] PC1-10
PPM002355 PGS000854
(T2D_BetaCell)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.01 [0.94, 1.08] PC1-10
PPM002357 PGS000854
(T2D_BetaCell)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 1.27 [1.2, 1.34] PC1-10
PPM002356 PGS000854
(T2D_BetaCell)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.21 [1.13, 1.3] PC1-10
PPM020168 PGS000854
(T2D_BetaCell)
PSS011301|
South Asian Ancestry|
1,282 individuals
PGP000525 |
Yajnik CS et al. Lancet Reg Health Southeast Asia (2023)
|Ext.
Reported Trait: Type 2 diabetes OR: 0.89 [0.79, 1.0] sex
PPM020188 PGS000854
(T2D_BetaCell)
PSS011302|
South Asian Ancestry|
830 individuals
PGP000525 |
Yajnik CS et al. Lancet Reg Health Southeast Asia (2023)
|Ext.
Reported Trait: Severe insulin deficiency diabetes OR: 0.87 [0.75, 1.0] sex
PPM020209 PGS000854
(T2D_BetaCell)
PSS011305|
South Asian Ancestry|
624 individuals
PGP000525 |
Yajnik CS et al. Lancet Reg Health Southeast Asia (2023)
|Ext.
Reported Trait: Mild age-related diabetes OR: 0.81 [0.67, 0.97] sex
PPM002358 PGS000855
(T2D_Lipodystrophy)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 1.12 [1.01, 1.25] PC1-10
PPM002359 PGS000855
(T2D_Lipodystrophy)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.23 [1.15, 1.33] PC1-10
PPM002360 PGS000855
(T2D_Lipodystrophy)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.15 [1.07, 1.24] PC1-10
PPM002361 PGS000855
(T2D_Lipodystrophy)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.14 [1.06, 1.22] PC1-10
PPM002362 PGS000855
(T2D_Lipodystrophy)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 1.18 [1.11, 1.24] PC1-10
PPM020175 PGS000855
(T2D_Lipodystrophy)
PSS011301|
South Asian Ancestry|
1,282 individuals
PGP000525 |
Yajnik CS et al. Lancet Reg Health Southeast Asia (2023)
|Ext.
Reported Trait: Type 2 diabetes OR: 1.17 [1.04, 1.31] sex
PPM020193 PGS000855
(T2D_Lipodystrophy)
PSS011302|
South Asian Ancestry|
830 individuals
PGP000525 |
Yajnik CS et al. Lancet Reg Health Southeast Asia (2023)
|Ext.
Reported Trait: Severe insulin deficiency diabetes OR: 1.16 [1.0, 1.34] sex
PPM020203 PGS000855
(T2D_Lipodystrophy)
PSS011303|
South Asian Ancestry|
729 individuals
PGP000525 |
Yajnik CS et al. Lancet Reg Health Southeast Asia (2023)
|Ext.
Reported Trait: Mild obesity-related diabetes OR: 1.18 [1.01, 1.37] sex
PPM002363 PGS000856
(T2D_LiverLipids)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 1.35 [1.22, 1.51] PC1-10
PPM002364 PGS000856
(T2D_LiverLipids)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.01 [0.94, 1.08] PC1-10
PPM002366 PGS000856
(T2D_LiverLipids)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.02 [0.95, 1.09] PC1-10
PPM002367 PGS000856
(T2D_LiverLipids)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 0.95 [0.9, 1.01] PC1-10
PPM002365 PGS000856
(T2D_LiverLipids)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 0.97 [0.91, 1.05] PC1-10
PPM020177 PGS000856
(T2D_LiverLipids)
PSS011301|
South Asian Ancestry|
1,282 individuals
PGP000525 |
Yajnik CS et al. Lancet Reg Health Southeast Asia (2023)
|Ext.
Reported Trait: Type 2 diabetes OR: 1.29 [1.09, 1.54] age, sex and BMI
PPM020195 PGS000856
(T2D_LiverLipids)
PSS011302|
South Asian Ancestry|
830 individuals
PGP000525 |
Yajnik CS et al. Lancet Reg Health Southeast Asia (2023)
|Ext.
Reported Trait: Severe insulin deficiency diabetes OR: 1.24 [1.07, 1.43] sex
PPM020205 PGS000856
(T2D_LiverLipids)
PSS011303|
South Asian Ancestry|
729 individuals
PGP000525 |
Yajnik CS et al. Lancet Reg Health Southeast Asia (2023)
|Ext.
Reported Trait: Mild obesity-related diabetes OR: 1.31 [1.12, 1.53] sex
PPM020206 PGS000856
(T2D_LiverLipids)
PSS011304|
South Asian Ancestry|
482 individuals
PGP000525 |
Yajnik CS et al. Lancet Reg Health Southeast Asia (2023)
|Ext.
Reported Trait: Severe insulin-resistant diabetes OR: 2.04 [1.26, 3.3] sex
PPM002368 PGS000857
(T2D_Obesity)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 1.07 [0.97, 1.19] PC1-10
PPM002369 PGS000857
(T2D_Obesity)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.08 [1.01, 1.16] PC1-10
PPM002370 PGS000857
(T2D_Obesity)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.13 [1.05, 1.22] PC1-10
PPM002371 PGS000857
(T2D_Obesity)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.19 [1.11, 1.27] PC1-10
PPM002372 PGS000857
(T2D_Obesity)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 1.04 [0.99, 1.1] PC1-10
PPM020164 PGS000857
(T2D_Obesity)
PSS011301|
South Asian Ancestry|
1,282 individuals
PGP000525 |
Yajnik CS et al. Lancet Reg Health Southeast Asia (2023)
|Ext.
Reported Trait: Type 2 diabetes OR: 0.87 [0.77, 0.99] sex
PPM002373 PGS000858
(T2D_Proinsulin)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 0.94 [0.85, 1.04] PC1-10
PPM002374 PGS000858
(T2D_Proinsulin)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.14 [1.06, 1.22] PC1-10
PPM002376 PGS000858
(T2D_Proinsulin)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.06 [0.99, 1.13] PC1-10
PPM002377 PGS000858
(T2D_Proinsulin)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 1.1 [1.04, 1.16] PC1-10
PPM002375 PGS000858
(T2D_Proinsulin)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 0.93 [0.87, 1.0] PC1-10
PPM020174 PGS000858
(T2D_Proinsulin)
PSS011301|
South Asian Ancestry|
1,282 individuals
PGP000525 |
Yajnik CS et al. Lancet Reg Health Southeast Asia (2023)
|Ext.
Reported Trait: Type 2 diabetes OR: 1.22 [1.03, 1.44] age, sex and BMI
PPM020202 PGS000858
(T2D_Proinsulin)
PSS011303|
South Asian Ancestry|
729 individuals
PGP000525 |
Yajnik CS et al. Lancet Reg Health Southeast Asia (2023)
|Ext.
Reported Trait: Mild obesity-related diabetes OR: 1.2 [1.03, 1.4] sex
PPM020214 PGS000858
(T2D_Proinsulin)
PSS011305|
South Asian Ancestry|
624 individuals
PGP000525 |
Yajnik CS et al. Lancet Reg Health Southeast Asia (2023)
|Ext.
Reported Trait: Mild age-related diabetes OR: 1.23 [1.01, 1.48] sex
PPM002403 PGS000864
(T2D-gPRS)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 1.42 [1.28, 1.58] PC1-10
PPM002404 PGS000864
(T2D-gPRS)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.93 [1.79, 2.09] PC1-10
PPM002406 PGS000864
(T2D-gPRS)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 2.12 [1.96, 2.29] PC1-10
PPM002407 PGS000864
(T2D-gPRS)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 1.59 [1.5, 1.69] PC1-10
PPM002405 PGS000864
(T2D-gPRS)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.56 [1.45, 1.69] PC1-10
PPM002413 PGS000868
(T2D_221)
PSS001092|
Ancestry Not Reported|
5,740 individuals
PGP000214 |
Aksit MA et al. J Clin Endocrinol Metab (2020)
Reported Trait: Cystic-fibrosis related diabetes HR: 1.285 PCs(1-4), site of recruitment
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
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)
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
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
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
PPM020889 PGS002026
(portability-ldpred2_250.2)
PSS011442|
European Ancestry|
564 individuals
PGP000599 |
Guarischi-Sousa R et al. Circ Genom Precis Med (2023)
|Ext.
Reported Trait: Raised coronary lesion OR: 0.96 [0.8, 1.16]
PPM020894 PGS002026
(portability-ldpred2_250.2)
PSS011441|
African Ancestry|
504 individuals
PGP000599 |
Guarischi-Sousa R et al. Circ Genom Precis Med (2023)
|Ext.
Reported Trait: Raised coronary lesion OR: 1.1 [0.9, 1.35]
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)
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
PPM012947 PGS002277
(pPS_Insulin_secretion_1)
PSS009629|
South Asian Ancestry|
5,806 individuals
PGP000305 |
Siddiqui MK et al. Diabetologia (2022)
Reported Trait: Age at diagnosis Z: 5.2 Z-score p-value < 0.0001
PPM012949 PGS002277
(pPS_Insulin_secretion_1)
PSS009629|
South Asian Ancestry|
5,806 individuals
PGP000305 |
Siddiqui MK et al. Diabetologia (2022)
Reported Trait: Age at diagnosis (overweight BMI) β: 32.68 (20.7) : 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
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
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
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
PPM013119 PGS002354
(disease_T2D.BOLT-LMM)
PSS009859|
African Ancestry|
6,503 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0047 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013168 PGS002354
(disease_T2D.BOLT-LMM)
PSS009860|
East Asian Ancestry|
922 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0025 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013217 PGS002354
(disease_T2D.BOLT-LMM)
PSS009861|
European Ancestry|
43,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0135 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013266 PGS002354
(disease_T2D.BOLT-LMM)
PSS009862|
South Asian Ancestry|
8,098 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0218 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013291 PGS002379
(disease_T2D.BOLT-LMM-BBJ)
PSS009859|
African Ancestry|
6,503 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0008 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013314 PGS002379
(disease_T2D.BOLT-LMM-BBJ)
PSS009860|
East Asian Ancestry|
922 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0148 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013360 PGS002379
(disease_T2D.BOLT-LMM-BBJ)
PSS009862|
South Asian Ancestry|
8,098 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0091 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013337 PGS002379
(disease_T2D.BOLT-LMM-BBJ)
PSS009861|
European Ancestry|
43,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0026 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013407 PGS002426
(disease_T2D.P+T.0.0001)
PSS009859|
African Ancestry|
6,503 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0001 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013505 PGS002426
(disease_T2D.P+T.0.0001)
PSS009861|
European Ancestry|
43,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013554 PGS002426
(disease_T2D.P+T.0.0001)
PSS009862|
South Asian Ancestry|
8,098 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013456 PGS002426
(disease_T2D.P+T.0.0001)
PSS009860|
East Asian Ancestry|
922 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0032 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013603 PGS002475
(disease_T2D.P+T.0.001)
PSS009859|
African Ancestry|
6,503 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013652 PGS002475
(disease_T2D.P+T.0.001)
PSS009860|
East Asian Ancestry|
922 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0041 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013701 PGS002475
(disease_T2D.P+T.0.001)
PSS009861|
European Ancestry|
43,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013750 PGS002475
(disease_T2D.P+T.0.001)
PSS009862|
South Asian Ancestry|
8,098 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013799 PGS002524
(disease_T2D.P+T.0.01)
PSS009859|
African Ancestry|
6,503 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0002 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013848 PGS002524
(disease_T2D.P+T.0.01)
PSS009860|
East Asian Ancestry|
922 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0033 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013897 PGS002524
(disease_T2D.P+T.0.01)
PSS009861|
European Ancestry|
43,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013946 PGS002524
(disease_T2D.P+T.0.01)
PSS009862|
South Asian Ancestry|
8,098 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014093 PGS002573
(disease_T2D.P+T.1e-06)
PSS009861|
European Ancestry|
43,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013995 PGS002573
(disease_T2D.P+T.1e-06)
PSS009859|
African Ancestry|
6,503 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014044 PGS002573
(disease_T2D.P+T.1e-06)
PSS009860|
East Asian Ancestry|
922 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014142 PGS002573
(disease_T2D.P+T.1e-06)
PSS009862|
South Asian Ancestry|
8,098 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014191 PGS002622
(disease_T2D.P+T.5e-08)
PSS009859|
African Ancestry|
6,503 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014240 PGS002622
(disease_T2D.P+T.5e-08)
PSS009860|
East Asian Ancestry|
922 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0002 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014289 PGS002622
(disease_T2D.P+T.5e-08)
PSS009861|
European Ancestry|
43,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014338 PGS002622
(disease_T2D.P+T.5e-08)
PSS009862|
South Asian Ancestry|
8,098 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0001 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014387 PGS002671
(disease_T2D.PolyFun-pred)
PSS009859|
African Ancestry|
6,503 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0047 age, sex, age*sex, assessment center, genotyping array, 10 PCs See disease_T2D.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014436 PGS002671
(disease_T2D.PolyFun-pred)
PSS009860|
East Asian Ancestry|
922 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0072 age, sex, age*sex, assessment center, genotyping array, 10 PCs See disease_T2D.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014485 PGS002671
(disease_T2D.PolyFun-pred)
PSS009861|
European Ancestry|
43,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0128 age, sex, age*sex, assessment center, genotyping array, 10 PCs See disease_T2D.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014534 PGS002671
(disease_T2D.PolyFun-pred)
PSS009862|
South Asian Ancestry|
8,098 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0251 age, sex, age*sex, assessment center, genotyping array, 10 PCs See disease_T2D.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014583 PGS002720
(disease_T2D.SBayesR)
PSS009859|
African Ancestry|
6,503 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.006 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014632 PGS002720
(disease_T2D.SBayesR)
PSS009860|
East Asian Ancestry|
922 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0021 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014681 PGS002720
(disease_T2D.SBayesR)
PSS009861|
European Ancestry|
43,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0129 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014730 PGS002720
(disease_T2D.SBayesR)
PSS009862|
South Asian Ancestry|
8,098 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0207 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014821 PGS002733
(GRS17_T2D)
PSS009902|
European Ancestry|
600 individuals
PGP000342 |
Pezzilli S et al. Diabetes Metab (2022)
Reported Trait: Early-onset type 2 diabetes OR: 1.09 [1.01, 1.18]
PPM014822 PGS002733
(GRS17_T2D)
PSS009902|
European Ancestry|
600 individuals
PGP000342 |
Pezzilli S et al. Diabetes Metab (2022)
Reported Trait: Early-onset type 2 diabetes in rare variant carriers OR: 1.45 [1.15, 1.57]
PPM014823 PGS002733
(GRS17_T2D)
PSS009902|
European Ancestry|
600 individuals
PGP000342 |
Pezzilli S et al. Diabetes Metab (2022)
Reported Trait: Early-onset type 2 diabetes in rare variant non-carriers OR: 1.06 [1.01, 1.13]
PPM014971 PGS002771
(Type_2_diabetes_prscs)
PSS009939|
European Ancestry|
39,444 individuals
PGP000364 |
Mars N et al. Am J Hum Genet (2022)
Reported Trait: Type 2 diabetes OR: 1.88 [1.82, 1.95] age, sex, 10 PCs, technical covariates
PPM014979 PGS002779
(GTG_T2D_maxCT)
PSS009943|
European Ancestry|
5,472 individuals
PGP000365 |
Wong CK et al. PLoS One (2022)
Reported Trait: Incident type 2 diabetes OR: 1.35 [1.25, 1.45] AUROC: 0.585 [0.564, 0.605]
PPM014980 PGS002780
(GTG_T2D_SCT)
PSS009943|
European Ancestry|
5,472 individuals
PGP000365 |
Wong CK et al. PLoS One (2022)
Reported Trait: Incident type 2 diabetes OR: 1.41 [1.31, 1.51] AUROC: 0.595 [0.575, 0.615]
PPM015993 PGS003089
(ExPRSweb_T2D_2443_LASSOSUM_MGI_20211120)
PSS010014|
European Ancestry|
21,356 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Type 2 Diabetes OR: 1.524 [1.468, 1.583]
β: 0.422 (0.0191)
AUROC: 0.616 [0.6, 0.63] SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM015996 PGS003090
(ExPRSweb_T2D_2443_PT_MGI_20211120)
PSS010014|
European Ancestry|
21,356 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Type 2 Diabetes OR: 1.425 [1.373, 1.479]
β: 0.354 (0.0191)
AUROC: 0.599 [0.582, 0.615] SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM015994 PGS003091
(ExPRSweb_T2D_2443_PLINK_MGI_20211120)
PSS010014|
European Ancestry|
21,356 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Type 2 Diabetes OR: 1.379 [1.329, 1.431]
β: 0.321 (0.0189)
AUROC: 0.591 [0.574, 0.606] SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM015992 PGS003092
(ExPRSweb_T2D_2443_DBSLMM_MGI_20211120)
PSS010014|
European Ancestry|
21,356 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Type 2 Diabetes OR: 1.275 [1.23, 1.321]
β: 0.243 (0.0184)
AUROC: 0.563 [0.546, 0.58] SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM015995 PGS003093
(ExPRSweb_T2D_2443_PRSCS_MGI_20211120)
PSS010014|
European Ancestry|
21,356 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Type 2 Diabetes OR: 1.6 [1.539, 1.664]
β: 0.47 (0.0199)
AUROC: 0.625 [0.608, 0.639] SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM015999 PGS003094
(ExPRSweb_T2D_29358691-GCST005413_LASSOSUM_MGI_20211120)
PSS010014|
European Ancestry|
21,356 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Type 2 Diabetes OR: 1.333 [1.286, 1.382]
β: 0.287 (0.0184)
AUROC: 0.589 [0.572, 0.604] SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM016005 PGS003095
(ExPRSweb_T2D_29358691-GCST005413_PT_MGI_20211120)
PSS010014|
European Ancestry|
21,356 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Type 2 Diabetes OR: 1.239 [1.196, 1.284]
β: 0.214 (0.0181)
AUROC: 0.562 [0.546, 0.578] SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM016001 PGS003096
(ExPRSweb_T2D_29358691-GCST005413_PLINK_MGI_20211120)
PSS010014|
European Ancestry|
21,356 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Type 2 Diabetes OR: 1.232 [1.189, 1.277]
β: 0.209 (0.0181)
AUROC: 0.56 [0.545, 0.576] SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM015997 PGS003097
(ExPRSweb_T2D_29358691-GCST005413_DBSLMM_MGI_20211120)
PSS010014|
European Ancestry|
21,356 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Type 2 Diabetes OR: 1.011 [0.976, 1.047]
β: 0.011 (0.0181)
AUROC: 0.5 [0.484, 0.517] SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM016003 PGS003098
(ExPRSweb_T2D_29358691-GCST005413_PRSCS_MGI_20211120)
PSS010014|
European Ancestry|
21,356 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Type 2 Diabetes OR: 1.358 [1.31, 1.408]
β: 0.306 (0.0183)
AUROC: 0.593 [0.577, 0.608] SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM016009 PGS003099
(ExPRSweb_T2D_30054458-GCST006867_LASSOSUM_MGI_20211120)
PSS010014|
European Ancestry|
21,356 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Type 2 Diabetes OR: 1.657 [1.595, 1.722]
β: 0.505 (0.0196)
AUROC: 0.626 [0.609, 0.641] SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM016015 PGS003100
(ExPRSweb_T2D_30054458-GCST006867_PT_MGI_20211120)
PSS010014|
European Ancestry|
21,356 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Type 2 Diabetes OR: 1.531 [1.474, 1.591]
β: 0.426 (0.0193)
AUROC: 0.6 [0.585, 0.616] SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM016011 PGS003101
(ExPRSweb_T2D_30054458-GCST006867_PLINK_MGI_20211120)
PSS010014|
European Ancestry|
21,356 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Type 2 Diabetes OR: 1.531 [1.474, 1.591]
β: 0.426 (0.0193)
AUROC: 0.6 [0.585, 0.616] SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM016007 PGS003102
(ExPRSweb_T2D_30054458-GCST006867_DBSLMM_MGI_20211120)
PSS010014|
European Ancestry|
21,356 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Type 2 Diabetes OR: 1.639 [1.577, 1.703]
β: 0.494 (0.0196)
AUROC: 0.628 [0.611, 0.643] SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM016013 PGS003103
(ExPRSweb_T2D_30054458-GCST006867_PRSCS_MGI_20211120)
PSS010014|
European Ancestry|
21,356 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Type 2 Diabetes OR: 1.704 [1.639, 1.772]
β: 0.533 (0.0198)
AUROC: 0.637 [0.621, 0.653] SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM016019 PGS003104
(ExPRSweb_T2D_METAANALYSIS-DIAGRAM_LASSOSUM_MGI_20211120)
PSS010014|
European Ancestry|
21,356 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Type 2 Diabetes OR: 1.536 [1.479, 1.596]
β: 0.429 (0.0195)
AUROC: 0.611 [0.595, 0.626] SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM016025 PGS003105
(ExPRSweb_T2D_METAANALYSIS-DIAGRAM_PT_MGI_20211120)
PSS010014|
European Ancestry|
21,356 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Type 2 Diabetes OR: 1.33 [1.283, 1.379]
β: 0.285 (0.0184)
AUROC: 0.572 [0.555, 0.588] SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM016021 PGS003106
(ExPRSweb_T2D_METAANALYSIS-DIAGRAM_PLINK_MGI_20211120)
PSS010014|
European Ancestry|
21,356 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Type 2 Diabetes OR: 1.33 [1.283, 1.379]
β: 0.285 (0.0184)
AUROC: 0.572 [0.555, 0.588] SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM016017 PGS003107
(ExPRSweb_T2D_METAANALYSIS-DIAGRAM_DBSLMM_MGI_20211120)
PSS010014|
European Ancestry|
21,356 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Type 2 Diabetes OR: 1.028 [0.992, 1.065]
β: 0.0276 (0.0182)
AUROC: 0.541 [0.523, 0.557] SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM016023 PGS003108
(ExPRSweb_T2D_METAANALYSIS-DIAGRAM_PRSCS_MGI_20211120)
PSS010014|
European Ancestry|
21,356 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Type 2 Diabetes OR: 1.563 [1.504, 1.624]
β: 0.446 (0.0195)
AUROC: 0.61 [0.594, 0.625] SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM016000 PGS003109
(ExPRSweb_T2D_29358691-GCST005413_LASSOSUM_UKB_20211120)
PSS010036|
European Ancestry|
203,197 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Type 2 Diabetes OR: 1.522 [1.491, 1.554]
β: 0.42 (0.0106)
AUROC: 0.616 [0.61, 0.622] Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4
PPM016006 PGS003110
(ExPRSweb_T2D_29358691-GCST005413_PT_UKB_20211120)
PSS010036|
European Ancestry|
203,197 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Type 2 Diabetes OR: 1.406 [1.378, 1.435]
β: 0.341 (0.0103)
AUROC: 0.594 [0.588, 0.6] Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4
PPM016002 PGS003111
(ExPRSweb_T2D_29358691-GCST005413_PLINK_UKB_20211120)
PSS010036|
European Ancestry|
203,197 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Type 2 Diabetes OR: 1.392 [1.364, 1.42]
β: 0.331 (0.0103)
AUROC: 0.59 [0.584, 0.596] Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4
PPM015998 PGS003112
(ExPRSweb_T2D_29358691-GCST005413_DBSLMM_UKB_20211120)
PSS010036|
European Ancestry|
203,197 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Type 2 Diabetes OR: 1.01 [0.989, 1.031]
β: 0.00976 (0.0104)
AUROC: 0.501 [0.495, 0.507] Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4
PPM016004 PGS003113
(ExPRSweb_T2D_29358691-GCST005413_PRSCS_UKB_20211120)
PSS010036|
European Ancestry|
203,197 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Type 2 Diabetes OR: 1.522 [1.491, 1.554]
β: 0.42 (0.0106)
AUROC: 0.616 [0.611, 0.622] Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4
PPM016010 PGS003114
(ExPRSweb_T2D_30054458-GCST006867_LASSOSUM_UKB_20211120)
PSS010036|
European Ancestry|
203,197 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Type 2 Diabetes OR: 3.959 [3.866, 4.055]
β: 1.38 (0.0121)
AUROC: 0.825 [0.82, 0.829] Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4
PPM016016 PGS003115
(ExPRSweb_T2D_30054458-GCST006867_PT_UKB_20211120)
PSS010036|
European Ancestry|
203,197 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Type 2 Diabetes OR: 3.755 [3.669, 3.844]
β: 1.32 (0.0119)
AUROC: 0.816 [0.811, 0.82] Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4
PPM016012 PGS003116
(ExPRSweb_T2D_30054458-GCST006867_PLINK_UKB_20211120)
PSS010036|
European Ancestry|
203,197 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Type 2 Diabetes OR: 3.755 [3.669, 3.844]
β: 1.32 (0.0119)
AUROC: 0.816 [0.811, 0.82] Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4
PPM016008 PGS003117
(ExPRSweb_T2D_30054458-GCST006867_DBSLMM_UKB_20211120)
PSS010036|
European Ancestry|
203,197 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Type 2 Diabetes OR: 3.061 [2.992, 3.132]
β: 1.12 (0.0116)
AUROC: 0.778 [0.774, 0.783] Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4
PPM016014 PGS003118
(ExPRSweb_T2D_30054458-GCST006867_PRSCS_UKB_20211120)
PSS010036|
European Ancestry|
203,197 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Type 2 Diabetes OR: 3.193 [3.12, 3.268]
β: 1.16 (0.0118)
AUROC: 0.786 [0.782, 0.791] Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4
PPM016020 PGS003119
(ExPRSweb_T2D_METAANALYSIS-DIAGRAM_LASSOSUM_UKB_20211120)
PSS010036|
European Ancestry|
203,197 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Type 2 Diabetes OR: 1.662 [1.628, 1.698]
β: 0.508 (0.0107)
AUROC: 0.639 [0.634, 0.645] Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4
PPM016026 PGS003120
(ExPRSweb_T2D_METAANALYSIS-DIAGRAM_PT_UKB_20211120)
PSS010036|
European Ancestry|
203,197 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Type 2 Diabetes OR: 1.451 [1.421, 1.48]
β: 0.372 (0.0104)
AUROC: 0.603 [0.597, 0.609] Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4
PPM016022 PGS003121
(ExPRSweb_T2D_METAANALYSIS-DIAGRAM_PLINK_UKB_20211120)
PSS010036|
European Ancestry|
203,197 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Type 2 Diabetes OR: 1.451 [1.421, 1.48]
β: 0.372 (0.0104)
AUROC: 0.603 [0.597, 0.609] Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4
PPM016018 PGS003122
(ExPRSweb_T2D_METAANALYSIS-DIAGRAM_DBSLMM_UKB_20211120)
PSS010036|
European Ancestry|
203,197 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Type 2 Diabetes OR: 1.009 [0.988, 1.03]
β: 0.00858 (0.0105)
AUROC: 0.547 [0.541, 0.552] Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4
PPM016024 PGS003123
(ExPRSweb_T2D_METAANALYSIS-DIAGRAM_PRSCS_UKB_20211120)
PSS010036|
European Ancestry|
203,197 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Type 2 Diabetes OR: 1.715 [1.679, 1.752]
β: 0.539 (0.0107)
AUROC: 0.648 [0.642, 0.654] Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4
PPM016201 PGS003353
(GRS_T2D)
PSS010055|
East Asian Ancestry|
22,608 individuals
PGP000405 |
Kim YJ et al. Nat Commun (2022)
Reported Trait: Fasting plasma glucose OR: 1.83 [1.59, 2.11]
PPM016202 PGS003353
(GRS_T2D)
PSS010055|
East Asian Ancestry|
22,608 individuals
PGP000405 |
Kim YJ et al. Nat Commun (2022)
Reported Trait: Hemoglobin A1c level OR: 1.68 [1.46, 1.93]
PPM016203 PGS003353
(GRS_T2D)
PSS010055|
East Asian Ancestry|
22,608 individuals
PGP000405 |
Kim YJ et al. Nat Commun (2022)
Reported Trait: Type 2 diabetes OR: 2.99 [2.61, 3.44]
PPM016204 PGS003353
(GRS_T2D)
PSS010055|
East Asian Ancestry|
22,608 individuals
PGP000405 |
Kim YJ et al. Nat Commun (2022)
Reported Trait: Fasting plasma glucose and Type 2 diabetes OR: 3.52 [2.69, 4.61]
PPM017036 PGS003402
(PRS_T2D)
PSS010101|
South Asian Ancestry|
3,712 individuals
PGP000419 |
Lamri A et al. Elife (2022)
Reported Trait: Fasting glucose x BMI interaction β: 89.0 age, BMI, education level, birth region (South Asia vs. other), parity, parental history of diabetes, and genetic PC axes 1-5
PPM017037 PGS003402
(PRS_T2D)
PSS010101|
South Asian Ancestry|
3,712 individuals
PGP000419 |
Lamri A et al. Elife (2022)
Reported Trait: Fasting glucose x Born in South Asia interaction β: 84.0 age, BMI, education level, birth region (South Asia vs. other), parity, parental history of diabetes, and genetic PC axes 1-5
PPM017038 PGS003402
(PRS_T2D)
PSS010101|
South Asian Ancestry|
3,712 individuals
PGP000419 |
Lamri A et al. Elife (2022)
Reported Trait: Fasting glucose x Low diet quality interaction (only in START cohort) β: 0.141 [0.053, 0.228] age, BMI, education level, birth region (South Asia vs. other), parity, parental history of diabetes, and genetic PC axes 1-5
PPM017039 PGS003402
(PRS_T2D)
PSS010101|
South Asian Ancestry|
3,712 individuals
PGP000419 |
Lamri A et al. Elife (2022)
Reported Trait: AUC glucose x BMI interaction β: 77.0 age, BMI, education level, birth region (South Asia vs. other), parity, parental history of diabetes, and genetic PC axes 1-5
PPM017040 PGS003402
(PRS_T2D)
PSS010101|
South Asian Ancestry|
3,712 individuals
PGP000419 |
Lamri A et al. Elife (2022)
Reported Trait: GDM (IADPSG criteria) x BMI interaction OR: 0.0 age, BMI, education level, birth region (South Asia vs. other), parity, parental history of diabetes, and genetic PC axes 1-5
PPM017032 PGS003402
(PRS_T2D)
PSS010101|
South Asian Ancestry|
3,712 individuals
PGP000419 |
Lamri A et al. Elife (2022)
Reported Trait: Fasting glucose β: 0.085 [0.067, 0.103] first five principal components (PCs)
PPM017033 PGS003402
(PRS_T2D)
PSS010101|
South Asian Ancestry|
3,712 individuals
PGP000419 |
Lamri A et al. Elife (2022)
Reported Trait: 2h postload glucose β: 0.207 [0.157, 0.257] first five principal components (PCs)
PPM017034 PGS003402
(PRS_T2D)
PSS010101|
South Asian Ancestry|
3,712 individuals
PGP000419 |
Lamri A et al. Elife (2022)
Reported Trait: AUC glucose β: 0.155 [0.125, 0.184] first five principal components (PCs)
PPM017035 PGS003402
(PRS_T2D)
PSS010101|
South Asian Ancestry|
3,712 individuals
PGP000419 |
Lamri A et al. Elife (2022)
Reported Trait: GDM (IADPSG criteria) OR: 1.45 [1.32, 1.6] first five principal components (PCs)
PPM017182 PGS003443
(PRScsx_T2D_LAT_EURweights)
PSS010157|
Hispanic or Latin American Ancestry|
1,484 individuals
PGP000445 |
Huerta-Chagoya A et al. Diabetologia (2023)
Reported Trait: type 2 diabetes OR: 1.9 [1.65, 2.19] AUROC: 0.7475 : 0.207 sex, age, PCs(1-10), PRScsx_T2D_LAT_EASweights, PRScsx_T2D_LAT_LATweights NOTE: Performance is based on a linear combination of this PGS with PRScsx_T2D_LAT_EASweights and PRScsx_T2D_LAT_LATweights (metascore=(zscoreEUR* 0.531117)+(zscoreEAS*0.5690198)+(zscoreLAT*0.1465538)). See score development details for how to apply
PPM017183 PGS003444
(PRScsx_T2D_LAT_EASweights)
PSS010157|
Hispanic or Latin American Ancestry|
1,484 individuals
PGP000445 |
Huerta-Chagoya A et al. Diabetologia (2023)
Reported Trait: type 2 diabetes OR: 1.9 [1.65, 2.19] AUROC: 0.7475 : 0.207 sex, age, PCs(1-10), PRScsx_T2D_LAT_EURweights, PRScsx_T2D_LAT_LATweights NOTE: Performance is based on a linear combination of this PGS with PRScsx_T2D_LAT_EASweights and PRScsx_T2D_LAT_LATweights (metascore=(zscoreEUR* 0.531117)+(zscoreEAS*0.5690198)+(zscoreLAT*0.1465538)). See score development details for how to apply
PPM017184 PGS003445
(PRScsx_T2D_LAT_LATweights)
PSS010157|
Hispanic or Latin American Ancestry|
1,484 individuals
PGP000445 |
Huerta-Chagoya A et al. Diabetologia (2023)
Reported Trait: type 2 diabetes OR: 1.9 [1.65, 2.19] AUROC: 0.7475 : 0.207 sex, age, PCs(1-10), PRScsx_T2D_LAT_EURweights, PRScsx_T2D_LAT_EASweights NOTE: Performance is based on a linear combination of this PGS with PRScsx_T2D_LAT_EASweights and PRScsx_T2D_LAT_LATweights (metascore=(zscoreEUR* 0.531117)+(zscoreEAS*0.5690198)+(zscoreLAT*0.1465538)). See score development details for how to apply
PPM018476 PGS003728
(PS_T2D_183-AGEN)
PSS010984|
Additional Diverse Ancestries|
2,229 individuals
PGP000469 |
Wedekind LE et al. Diabetologia (2023)
Reported Trait: Incident type 2 diabetes (youth cohort at 10 year follow-up) HR: 1.28 [1.12, 1.46] Net reclassification improvement: 0.331 [0.141, 0.521]
∆AUC: 0.005 [-0.003, 0.012]
age, sex, parental diabetes, modified BMI z score, fasting plasma glucose
PPM018484 PGS003728
(PS_T2D_183-AGEN)
PSS010983|
Additional Diverse Ancestries|
2,894 individuals
PGP000469 |
Wedekind LE et al. Diabetologia (2023)
Reported Trait: Incident type 2 diabetes (birth cohort at 30 year follow-up) HR: 1.27 [1.15, 1.39] Net reclassification improvement: 0.164 [0.025, 0.303]
∆AUC: 0.037 [0.013, 0.06]
sex, parental diabetes, and birth weight
PPM018468 PGS003728
(PS_T2D_183-AGEN)
PSS010982|
Additional Diverse Ancestries|
2,333 individuals
PGP000469 |
Wedekind LE et al. Diabetologia (2023)
Reported Trait: Incident type 2 diabetes (adult cohort at 10 year follow-up) HR: 1.14 [1.06, 1.24] Net reclassification improvement: 0.115 [-0.014, 0.244]
∆AUC: 0.001 [-0.003, 0.005]
age, sex, parental diabetes, BMI, fasting plasma glucose and HbA1c.
PPM018469 PGS003729
(PS_T2D_293-DIAGRAM)
PSS010982|
Additional Diverse Ancestries|
2,333 individuals
PGP000469 |
Wedekind LE et al. Diabetologia (2023)
Reported Trait: Incident type 2 diabetes (adult cohort at 10 year follow-up) HR: 1.27 [1.17, 1.38] AUROC: 0.735 Net reclassification improvement: 0.27 [0.149, 0.392]
∆AUC: 0.007 [0.001, 0.014]
age, sex, parental diabetes, BMI, fasting plasma glucose and HbA1c.
PPM018477 PGS003729
(PS_T2D_293-DIAGRAM)
PSS010984|
Additional Diverse Ancestries|
2,229 individuals
PGP000469 |
Wedekind LE et al. Diabetologia (2023)
Reported Trait: Incident type 2 diabetes (youth cohort at 10 year follow-up) HR: 1.49 [1.29, 1.72] AUROC: 0.812 Net reclassification improvement: 0.268 [0.072, 0.464]
∆AUC: 0.007 [-0.003, 0.017]
age, sex, parental diabetes, modified BMI z score, fasting plasma glucose
PPM018485 PGS003729
(PS_T2D_293-DIAGRAM)
PSS010983|
Additional Diverse Ancestries|
2,894 individuals
PGP000469 |
Wedekind LE et al. Diabetologia (2023)
Reported Trait: Incident type 2 diabetes (birth cohort at 30 year follow-up) HR: 1.48 [1.35, 1.63] AUROC: 0.685 Net reclassification improvement: 0.362 [0.222, 0.502]
∆AUC: 0.072 [0.045, 0.099]
sex, parental diabetes, and birth weight
PPM018471 PGS003730
(PS_T2D_287-DIAMANTE)
PSS010982|
Additional Diverse Ancestries|
2,333 individuals
PGP000469 |
Wedekind LE et al. Diabetologia (2023)
Reported Trait: Incident type 2 diabetes (adult cohort at 10 year follow-up) HR: 1.2 [1.1, 1.3] Net reclassification improvement: 0.216 [0.094, 0.338]
∆AUC: 0.004 [-0.001, 0.009]
age, sex, parental diabetes, BMI, fasting plasma glucose and HbA1c.
PPM018479 PGS003730
(PS_T2D_287-DIAMANTE)
PSS010984|
Additional Diverse Ancestries|
2,229 individuals
PGP000469 |
Wedekind LE et al. Diabetologia (2023)
Reported Trait: Incident type 2 diabetes (youth cohort at 10 year follow-up) HR: 1.34 [1.17, 1.54] Net reclassification improvement: 0.314 [0.116, 0.512]
∆AUC: 0.004 [-0.001, 0.009]
age, sex, parental diabetes, modified BMI z score, fasting plasma glucose
PPM018487 PGS003730
(PS_T2D_287-DIAMANTE)
PSS010983|
Additional Diverse Ancestries|
2,894 individuals
PGP000469 |
Wedekind LE et al. Diabetologia (2023)
Reported Trait: Incident type 2 diabetes (birth cohort at 30 year follow-up) HR: 1.45 [1.32, 1.6] Net reclassification improvement: 0.259 [0.115, 0.403]
∆AUC: 0.073
sex, parental diabetes, and birth weight
PPM018475 PGS003731
(PS_T2D_282-SAS-DIAMANTE)
PSS010982|
Additional Diverse Ancestries|
2,333 individuals
PGP000469 |
Wedekind LE et al. Diabetologia (2023)
Reported Trait: Incident type 2 diabetes (adult cohort at 10 year follow-up) HR: 1.19 [1.09, 1.29] Net reclassification improvement: 0.181 [0.054, 0.308]
∆AUC: 0.004 [-0.001, 0.009]
age, sex, parental diabetes, BMI, fasting plasma glucose and HbA1c.
PPM018483 PGS003731
(PS_T2D_282-SAS-DIAMANTE)
PSS010984|
Additional Diverse Ancestries|
2,229 individuals
PGP000469 |
Wedekind LE et al. Diabetologia (2023)
Reported Trait: Incident type 2 diabetes (youth cohort at 10 year follow-up) HR: 1.35 [1.18, 1.56] Net reclassification improvement: 0.302 [0.089, 0.515]
∆AUC: 0.002 [-0.007, 0.012]
age, sex, parental diabetes, modified BMI z score, fasting plasma glucose
PPM018491 PGS003731
(PS_T2D_282-SAS-DIAMANTE)
PSS010983|
Additional Diverse Ancestries|
2,894 individuals
PGP000469 |
Wedekind LE et al. Diabetologia (2023)
Reported Trait: Incident type 2 diabetes (birth cohort at 30 year follow-up) HR: 1.32 [1.2, 1.45] Net reclassification improvement: 0.201 [0.057, 0.306]
∆AUC: 0.054 [0.031, 0.077]
sex, parental diabetes, and birth weight
PPM018474 PGS003732
(PS_T2D_287-HIS-DIAMANTE)
PSS010982|
Additional Diverse Ancestries|
2,333 individuals
PGP000469 |
Wedekind LE et al. Diabetologia (2023)
Reported Trait: Incident type 2 diabetes (adult cohort at 10 year follow-up) HR: 1.18 [1.09, 1.29] Net reclassification improvement: 0.219 [0.097, 0.34]
∆AUC: 0.004 [-0.001, 0.008]
age, sex, parental diabetes, BMI, fasting plasma glucose and HbA1c.
PPM018482 PGS003732
(PS_T2D_287-HIS-DIAMANTE)
PSS010984|
Additional Diverse Ancestries|
2,229 individuals
PGP000469 |
Wedekind LE et al. Diabetologia (2023)
Reported Trait: Incident type 2 diabetes (youth cohort at 10 year follow-up) HR: 1.32 [1.15, 1.51] Net reclassification improvement: 0.15 [-0.054, 0.354]
∆AUC: 0.006 [-0.001, 0.014]
age, sex, parental diabetes, modified BMI z score, fasting plasma glucose
PPM018490 PGS003732
(PS_T2D_287-HIS-DIAMANTE)
PSS010983|
Additional Diverse Ancestries|
2,894 individuals
PGP000469 |
Wedekind LE et al. Diabetologia (2023)
Reported Trait: Incident type 2 diabetes (birth cohort at 30 year follow-up) HR: 1.4 [1.28, 1.55] Net reclassification improvement: 0.277 [0.125, 0.428]
∆AUC: 0.072 [0.046, 0.099]
sex, parental diabetes, and birth weight
PPM018473 PGS003733
(PS_T2D_287-EUR-DIAMANTE)
PSS010982|
Additional Diverse Ancestries|
2,333 individuals
PGP000469 |
Wedekind LE et al. Diabetologia (2023)
Reported Trait: Incident type 2 diabetes (adult cohort at 10 year follow-up) HR: 1.21 [1.12, 1.32] Net reclassification improvement: 0.277 [0.156, 0.397]
∆AUC: 0.005 [0.0, 0.011]
age, sex, parental diabetes, BMI, fasting plasma glucose and HbA1c.
PPM018481 PGS003733
(PS_T2D_287-EUR-DIAMANTE)
PSS010984|
Additional Diverse Ancestries|
2,229 individuals
PGP000469 |
Wedekind LE et al. Diabetologia (2023)
Reported Trait: Incident type 2 diabetes (youth cohort at 10 year follow-up) HR: 1.37 [1.19, 1.58] Net reclassification improvement: 0.296 [0.09, 0.502]
∆AUC: 0.008 [-0.001, 0.017]
age, sex, parental diabetes, modified BMI z score, fasting plasma glucose
PPM018489 PGS003733
(PS_T2D_287-EUR-DIAMANTE)
PSS010983|
Additional Diverse Ancestries|
2,894 individuals
PGP000469 |
Wedekind LE et al. Diabetologia (2023)
Reported Trait: Incident type 2 diabetes (birth cohort at 30 year follow-up) HR: 1.47 [1.33, 1.62] Net reclassification improvement: 0.328 [0.183, 0.474]
∆AUC: 0.075 [0.048, 0.102]
sex, parental diabetes, and birth weight
PPM018472 PGS003734
(PS_T2D_280-EAS-DIAMANTE)
PSS010982|
Additional Diverse Ancestries|
2,333 individuals
PGP000469 |
Wedekind LE et al. Diabetologia (2023)
Reported Trait: Incident type 2 diabetes (adult cohort at 10 year follow-up) HR: 1.13 [1.04, 1.23] Net reclassification improvement: 0.115 [-0.014, 0.244]
∆AUC: 0.001 [-0.002, 0.005]
age, sex, parental diabetes, BMI, fasting plasma glucose and HbA1c.
PPM018480 PGS003734
(PS_T2D_280-EAS-DIAMANTE)
PSS010984|
Additional Diverse Ancestries|
2,229 individuals
PGP000469 |
Wedekind LE et al. Diabetologia (2023)
Reported Trait: Incident type 2 diabetes (youth cohort at 10 year follow-up) HR: 1.19 [1.04, 1.36] Net reclassification improvement: 0.182 [-0.019, 0.383]
∆AUC: 0.001 [-0.004, 0.007]
age, sex, parental diabetes, modified BMI z score, fasting plasma glucose
PPM018488 PGS003734
(PS_T2D_280-EAS-DIAMANTE)
PSS010983|
Additional Diverse Ancestries|
2,894 individuals
PGP000469 |
Wedekind LE et al. Diabetologia (2023)
Reported Trait: Incident type 2 diabetes (birth cohort at 30 year follow-up) HR: 1.33 [1.22, 1.46] Net reclassification improvement: 0.176 [0.029, 0.323]
∆AUC: 0.052 [0.026, 0.077]
sex, parental diabetes, and birth weight
PPM018470 PGS003735
(PS_T2D_276-AFR-DIAMANTE)
PSS010982|
Additional Diverse Ancestries|
2,333 individuals
PGP000469 |
Wedekind LE et al. Diabetologia (2023)
Reported Trait: Incident type 2 diabetes (adult cohort at 10 year follow-up) HR: 1.13 [1.04, 1.22] ∆AUC: 0.003 [0.0, 0.007]
Net reclassification improvement: 0.181 [0.047, 0.316]
age, sex, parental diabetes, BMI, fasting plasma glucose and HbA1c.
PPM018478 PGS003735
(PS_T2D_276-AFR-DIAMANTE)
PSS010984|
Additional Diverse Ancestries|
2,229 individuals
PGP000469 |
Wedekind LE et al. Diabetologia (2023)
Reported Trait: Incident type 2 diabetes (youth cohort at 10 year follow-up) HR: 1.21 [1.06, 1.38] Net reclassification improvement: 0.185 [-0.017, 0.388]
∆AUC: 0.005 [-0.001, 0.01]
age, sex, parental diabetes, modified BMI z score, fasting plasma glucose
PPM018486 PGS003735
(PS_T2D_276-AFR-DIAMANTE)
PSS010983|
Additional Diverse Ancestries|
2,894 individuals
PGP000469 |
Wedekind LE et al. Diabetologia (2023)
Reported Trait: Incident type 2 diabetes (birth cohort at 30 year follow-up) HR: 1.28 [1.16, 1.41] Net reclassification improvement: 0.231 [0.091, 0.376]
∆AUC: 0.042 [0.019, 0.065]
sex, parental diabetes, and birth weight
PPM018510 PGS003751
(ModelT2D_over45)
PSS011003|
European Ancestry|
122,144 individuals
PGP000472 |
Shoaib M et al. Genet Epidemiol (2023)
Reported Trait: Type 2 diabetes with age of diagnosis over 45 AUROC: 0.596 Nagelkerke R2: 0.016
PPM018513 PGS003751
(ModelT2D_over45)
PSS011000|
European Ancestry|
7,067 individuals
PGP000472 |
Shoaib M et al. Genet Epidemiol (2023)
Reported Trait: Discrimination of Type 1 diabetes from Type 2 diabetes AUROC: 0.527
PPM018511 PGS003752
(ModelT2D)
PSS011002|
European Ancestry|
125,189 individuals
PGP000472 |
Shoaib M et al. Genet Epidemiol (2023)
Reported Trait: Type 2 diabetes AUROC: 0.578 Nagelkerke R2: 0.014
PPM018759 PGS003867
(T2D_PRScs_ARB)
PSS011097|
Greater Middle Eastern Ancestry|
2,669 individuals
PGP000501 |
Shim I et al. Nature Communications (2023)
Reported Trait: Type 2 diabetes OR: 1.83 [1.74, 1.92] AUROC: 0.7384 [0.7194, 0.7574] age, sex, array version, and the first 10 principal components of ancestry
PPM019312 PGS003982
(dbslmm.auto.GCST004773.T2D)
PSS011236|
European Ancestry|
377,408 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.50796
β: 0.41076
AUROC: 0.61 0 beta = log(or)/sd_pgs
PPM019313 PGS003982
(dbslmm.auto.GCST004773.T2D)
PSS011249|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.26658
β: 0.23632
AUROC: 0.57 0 beta = log(or)/sd_pgs
PPM019314 PGS003982
(dbslmm.auto.GCST004773.T2D)
PSS011265|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.53274
β: 0.42705
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019315 PGS003982
(dbslmm.auto.GCST004773.T2D)
PSS011291|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.40966
β: 0.34335
AUROC: 0.6 0 beta = log(or)/sd_pgs
PPM019316 PGS003982
(dbslmm.auto.GCST004773.T2D)
PSS011278|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.6067
β: 0.47419
AUROC: 0.63 0 beta = log(or)/sd_pgs
PPM019311 PGS003982
(dbslmm.auto.GCST004773.T2D)
PSS011225|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.48531
β: 0.39562
AUROC: 0.61 0 beta = log(or)/sd_pgs
PPM019353 PGS003998
(lassosum.auto.GCST004773.T2D)
PSS011225|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.42404
β: 0.3535
AUROC: 0.6 0 beta = log(or)/sd_pgs
PPM019354 PGS003998
(lassosum.auto.GCST004773.T2D)
PSS011236|
European Ancestry|
377,408 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.43926
β: 0.36413
AUROC: 0.6 0 beta = log(or)/sd_pgs
PPM019355 PGS003998
(lassosum.auto.GCST004773.T2D)
PSS011249|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.2647
β: 0.23483
AUROC: 0.57 0 beta = log(or)/sd_pgs
PPM019356 PGS003998
(lassosum.auto.GCST004773.T2D)
PSS011265|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.47667
β: 0.38979
AUROC: 0.61 0 beta = log(or)/sd_pgs
PPM019357 PGS003998
(lassosum.auto.GCST004773.T2D)
PSS011291|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.36032
β: 0.30772
AUROC: 0.58 0 beta = log(or)/sd_pgs
PPM019358 PGS003998
(lassosum.auto.GCST004773.T2D)
PSS011278|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.53698
β: 0.42982
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019359 PGS004014
(lassosum.CV.GCST004773.T2D)
PSS011225|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.48322
β: 0.39422
AUROC: 0.61 0 beta = log(or)/sd_pgs
PPM019360 PGS004014
(lassosum.CV.GCST004773.T2D)
PSS011236|
European Ancestry|
377,408 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.47356
β: 0.38768
AUROC: 0.61 0 beta = log(or)/sd_pgs
PPM019361 PGS004014
(lassosum.CV.GCST004773.T2D)
PSS011249|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.25868
β: 0.23007
AUROC: 0.56 0 beta = log(or)/sd_pgs
PPM019362 PGS004014
(lassosum.CV.GCST004773.T2D)
PSS011265|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.49153
β: 0.3998
AUROC: 0.61 0 beta = log(or)/sd_pgs
PPM019364 PGS004014
(lassosum.CV.GCST004773.T2D)
PSS011278|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.57088
β: 0.45164
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019363 PGS004014
(lassosum.CV.GCST004773.T2D)
PSS011291|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.34108
β: 0.29348
AUROC: 0.58 0 beta = log(or)/sd_pgs
PPM019329 PGS004024
(ldpred2.auto.GCST004773.T2D)
PSS011225|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.48498
β: 0.3954
AUROC: 0.61 0 beta = log(or)/sd_pgs
PPM019330 PGS004024
(ldpred2.auto.GCST004773.T2D)
PSS011236|
European Ancestry|
377,408 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.50219
β: 0.40693
AUROC: 0.61 0 beta = log(or)/sd_pgs
PPM019331 PGS004024
(ldpred2.auto.GCST004773.T2D)
PSS011249|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.2876
β: 0.25278
AUROC: 0.57 0 beta = log(or)/sd_pgs
PPM019332 PGS004024
(ldpred2.auto.GCST004773.T2D)
PSS011265|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.53513
β: 0.42861
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019333 PGS004024
(ldpred2.auto.GCST004773.T2D)
PSS011291|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.39993
β: 0.33642
AUROC: 0.59 0 beta = log(or)/sd_pgs
PPM019334 PGS004024
(ldpred2.auto.GCST004773.T2D)
PSS011278|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.608
β: 0.47499
AUROC: 0.63 0 beta = log(or)/sd_pgs
PPM019293 PGS004039
(ldpred2.CV.GCST004773.T2D)
PSS011225|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.51531
β: 0.41562
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019294 PGS004039
(ldpred2.CV.GCST004773.T2D)
PSS011236|
European Ancestry|
377,408 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.52599
β: 0.42265
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019295 PGS004039
(ldpred2.CV.GCST004773.T2D)
PSS011249|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.29096
β: 0.25538
AUROC: 0.57 0 beta = log(or)/sd_pgs
PPM019296 PGS004039
(ldpred2.CV.GCST004773.T2D)
PSS011265|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.55991
β: 0.44463
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019297 PGS004039
(ldpred2.CV.GCST004773.T2D)
PSS011291|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.41025
β: 0.34376
AUROC: 0.6 0 beta = log(or)/sd_pgs
PPM019298 PGS004039
(ldpred2.CV.GCST004773.T2D)
PSS011278|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.6442
β: 0.49725
AUROC: 0.64 0 beta = log(or)/sd_pgs
PPM019335 PGS004052
(megaprs.auto.GCST004773.T2D)
PSS011225|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.51227
β: 0.41361
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019337 PGS004052
(megaprs.auto.GCST004773.T2D)
PSS011249|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.2863
β: 0.25177
AUROC: 0.57 0 beta = log(or)/sd_pgs
PPM019338 PGS004052
(megaprs.auto.GCST004773.T2D)
PSS011265|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.5456
β: 0.43541
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019339 PGS004052
(megaprs.auto.GCST004773.T2D)
PSS011291|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.4232
β: 0.35291
AUROC: 0.6 0 beta = log(or)/sd_pgs
PPM019340 PGS004052
(megaprs.auto.GCST004773.T2D)
PSS011278|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.64766
β: 0.49936
AUROC: 0.64 0 beta = log(or)/sd_pgs
PPM019336 PGS004052
(megaprs.auto.GCST004773.T2D)
PSS011236|
European Ancestry|
377,408 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.53613
β: 0.42927
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019341 PGS004068
(megaprs.CV.GCST004773.T2D)
PSS011225|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.51406
β: 0.41479
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019342 PGS004068
(megaprs.CV.GCST004773.T2D)
PSS011236|
European Ancestry|
377,408 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.54026
β: 0.43195
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019343 PGS004068
(megaprs.CV.GCST004773.T2D)
PSS011249|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.28668
β: 0.25206
AUROC: 0.57 0 beta = log(or)/sd_pgs
PPM019344 PGS004068
(megaprs.CV.GCST004773.T2D)
PSS011265|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.55065
β: 0.43868
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019345 PGS004068
(megaprs.CV.GCST004773.T2D)
PSS011291|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.42683
β: 0.35546
AUROC: 0.6 0 beta = log(or)/sd_pgs
PPM019346 PGS004068
(megaprs.CV.GCST004773.T2D)
PSS011278|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.65089
β: 0.50131
AUROC: 0.64 0 beta = log(or)/sd_pgs
PPM019347 PGS004082
(prscs.auto.GCST004773.T2D)
PSS011225|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.49969
β: 0.40526
AUROC: 0.61 0 beta = log(or)/sd_pgs
PPM019348 PGS004082
(prscs.auto.GCST004773.T2D)
PSS011236|
European Ancestry|
377,408 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.49743
β: 0.40375
AUROC: 0.61 0 beta = log(or)/sd_pgs
PPM019349 PGS004082
(prscs.auto.GCST004773.T2D)
PSS011249|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.26384
β: 0.23416
AUROC: 0.56 0 beta = log(or)/sd_pgs
PPM019350 PGS004082
(prscs.auto.GCST004773.T2D)
PSS011265|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.52107
β: 0.41942
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019351 PGS004082
(prscs.auto.GCST004773.T2D)
PSS011291|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.37392
β: 0.31767
AUROC: 0.59 0 beta = log(or)/sd_pgs
PPM019352 PGS004082
(prscs.auto.GCST004773.T2D)
PSS011278|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.61184
β: 0.47737
AUROC: 0.63 0 beta = log(or)/sd_pgs
PPM019299 PGS004106
(pt_clump.auto.GCST004773.T2D)
PSS011225|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.25413
β: 0.22644
AUROC: 0.56 0 beta = log(or)/sd_pgs
PPM019300 PGS004106
(pt_clump.auto.GCST004773.T2D)
PSS011236|
European Ancestry|
377,408 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.2706
β: 0.23949
AUROC: 0.57 0 beta = log(or)/sd_pgs
PPM019301 PGS004106
(pt_clump.auto.GCST004773.T2D)
PSS011249|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.1856
β: 0.17025
AUROC: 0.55 0 beta = log(or)/sd_pgs
PPM019302 PGS004106
(pt_clump.auto.GCST004773.T2D)
PSS011265|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.30688
β: 0.26765
AUROC: 0.58 0 beta = log(or)/sd_pgs
PPM019303 PGS004106
(pt_clump.auto.GCST004773.T2D)
PSS011291|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.25033
β: 0.22341
AUROC: 0.56 0 beta = log(or)/sd_pgs
PPM019304 PGS004106
(pt_clump.auto.GCST004773.T2D)
PSS011278|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.32877
β: 0.28426
AUROC: 0.58 0 beta = log(or)/sd_pgs
PPM019305 PGS004122
(pt_clump_nested.CV.GCST004773.T2D)
PSS011225|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.32208
β: 0.2792
AUROC: 0.58 0 beta = log(or)/sd_pgs
PPM019306 PGS004122
(pt_clump_nested.CV.GCST004773.T2D)
PSS011236|
European Ancestry|
377,408 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.34756
β: 0.29829
AUROC: 0.58 0 beta = log(or)/sd_pgs
PPM019307 PGS004122
(pt_clump_nested.CV.GCST004773.T2D)
PSS011249|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.21072
β: 0.19122
AUROC: 0.55 0 beta = log(or)/sd_pgs
PPM019308 PGS004122
(pt_clump_nested.CV.GCST004773.T2D)
PSS011265|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.36428
β: 0.31063
AUROC: 0.59 0 beta = log(or)/sd_pgs
PPM019309 PGS004122
(pt_clump_nested.CV.GCST004773.T2D)
PSS011291|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.28905
β: 0.2539
AUROC: 0.57 0 beta = log(or)/sd_pgs
PPM019310 PGS004122
(pt_clump_nested.CV.GCST004773.T2D)
PSS011278|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.41752
β: 0.34891
AUROC: 0.6 0 beta = log(or)/sd_pgs
PPM019317 PGS004136
(sbayesr.auto.GCST004773.T2D)
PSS011225|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.48356
β: 0.39444
AUROC: 0.61 0 beta = log(or)/sd_pgs
PPM019319 PGS004136
(sbayesr.auto.GCST004773.T2D)
PSS011249|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.28557
β: 0.2512
AUROC: 0.57 0 beta = log(or)/sd_pgs
PPM019320 PGS004136
(sbayesr.auto.GCST004773.T2D)
PSS011265|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.54343
β: 0.43401
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019321 PGS004136
(sbayesr.auto.GCST004773.T2D)
PSS011291|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.4041
β: 0.3394
AUROC: 0.6 0 beta = log(or)/sd_pgs
PPM019322 PGS004136
(sbayesr.auto.GCST004773.T2D)
PSS011278|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.60963
β: 0.476
AUROC: 0.63 0 beta = log(or)/sd_pgs
PPM019318 PGS004136
(sbayesr.auto.GCST004773.T2D)
PSS011236|
European Ancestry|
377,408 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.50666
β: 0.40989
AUROC: 0.61 0 beta = log(or)/sd_pgs
PPM019323 PGS004152
(UKBB_EnsPGS.GCST004773.T2D)
PSS011225|
European Ancestry|
199,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.53171
β: 0.42638
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019324 PGS004152
(UKBB_EnsPGS.GCST004773.T2D)
PSS011236|
European Ancestry|
377,408 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.5534
β: 0.44045
AUROC: 0.62 0 beta = log(or)/sd_pgs
PPM019325 PGS004152
(UKBB_EnsPGS.GCST004773.T2D)
PSS011249|
South Asian Ancestry|
44,057 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.29976
β: 0.26218
AUROC: 0.57 0 beta = log(or)/sd_pgs
PPM019326 PGS004152
(UKBB_EnsPGS.GCST004773.T2D)
PSS011265|
European Ancestry|
66,865 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.57552
β: 0.45459
AUROC: 0.63 0 beta = log(or)/sd_pgs
PPM019327 PGS004152
(UKBB_EnsPGS.GCST004773.T2D)
PSS011291|
South Asian Ancestry|
9,326 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.44083
β: 0.36522
AUROC: 0.6 0 beta = log(or)/sd_pgs
PPM019328 PGS004152
(UKBB_EnsPGS.GCST004773.T2D)
PSS011278|
European Ancestry|
90,274 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Type 2 Diabetes OR: 1.66922
β: 0.51236
AUROC: 0.64 0 beta = log(or)/sd_pgs
PPM020114 PGS004181
(t2d_1)
PSS011296|
European Ancestry|
45,334 individuals
PGP000520 |
Raben TG et al. Sci Rep (2023)
Reported Trait: Type 2 diabetes AUROC: 0.69418 year of birth, sex
PPM020115 PGS004182
(t2d_2)
PSS011296|
European Ancestry|
45,334 individuals
PGP000520 |
Raben TG et al. Sci Rep (2023)
Reported Trait: Type 2 diabetes AUROC: 0.69491 year of birth, sex
PPM020116 PGS004183
(t2d_3)
PSS011296|
European Ancestry|
45,334 individuals
PGP000520 |
Raben TG et al. Sci Rep (2023)
Reported Trait: Type 2 diabetes AUROC: 0.69959 year of birth, sex
PPM020117 PGS004184
(t2d_4)
PSS011296|
European Ancestry|
45,334 individuals
PGP000520 |
Raben TG et al. Sci Rep (2023)
Reported Trait: Type 2 diabetes AUROC: 0.69539 year of birth, sex
PPM020118 PGS004185
(t2d_5)
PSS011296|
European Ancestry|
45,334 individuals
PGP000520 |
Raben TG et al. Sci Rep (2023)
Reported Trait: Type 2 diabetes AUROC: 0.69924 year of birth, sex
PPM020158 PGS004223
(PRS139_T2D)
PSS011299|
European Ancestry|
395,809 individuals
PGP000523 |
Lin J et al. Sci Total Environ (2023)
Reported Trait: Incident type 2 diabetes HR: 1.5 [1.48, 1.52] age, gender, education, Townsend deprivation index, smoking status, alcohol consumption, body mass index, total physical activity, dietary pattern, vitamin D supplement, use of sun/UV protection, PM2.5, hypertension, cardiovascular disease, antihypertensive medications use, cholesterol-lowering medications use, and average outdoor light time
PPM020159 PGS004223
(PRS139_T2D)
PSS011299|
European Ancestry|
395,809 individuals
PGP000523 |
Lin J et al. Sci Total Environ (2023)
Reported Trait: Incident type 2 diabetes with outdoor light time in summer Hazard ratio (HR, outdoor light time in summer >3h/day and PRS in top tertile vs. outdoor light time in summer <2-3 h/day and PRS in bottom tertile): 2.53 [2.39, 2.69] Hb1Ac concentrations at baseline
PPM020160 PGS004223
(PRS139_T2D)
PSS011299|
European Ancestry|
395,809 individuals
PGP000523 |
Lin J et al. Sci Total Environ (2023)
Reported Trait: Incident type 2 diabetes with outdoor light time in winter Hazard ratio (HR, outdoor light time in winter >2 h/day and PRS in top tertile vs. outdoor light time in winter <1-2 h/day and PRS in bottom tertile): 2.56 [2.42, 2.71] Hb1Ac concentrations at baseline
PPM020161 PGS004223
(PRS139_T2D)
PSS011299|
European Ancestry|
395,809 individuals
PGP000523 |
Lin J et al. Sci Total Environ (2023)
Reported Trait: Incident type 2 diabetes with outdoor light time on average Hazard ratio (HR, outdoor light time on average >2.5 h/day and PRS in top tertile vs. outdoor light time on average 1.