Trait: metabolic disease

Experimental Factor Ontology (EFO) Information
Identifier EFO_0000589
Description A congenital disorder (due to inherited enzyme abnormality) or acquired (due to failure of a metabolically important organ) disorder resulting from an abnormal metabolic process. [NCIT: C3235]
Trait category
Metabolic disorder
Synonyms 26 synonyms
  • DIS METAB
  • Disease, Metabolic
  • Diseases, Metabolic
  • Disorder of metabolism NOS
  • Disorder of metabolism NOS (disorder)
  • Generalised metabolic disorder
  • Generalized metabolic disorder
  • Generalized metabolic disorder (disorder)
  • MD - Metabolic disorders
  • METAB DIS
  • METABOLISM DISORDER NOS
  • Metabolic Diseases
  • Metabolic Disorder
  • Metabolic disease (disorder)
  • Metabolic disease, NOS
  • Metabolic disorder, NOS
  • Metabolic disorders
  • Thesaurismoses
  • Thesaurismosis
  • Unspecified disorder of metabolism
  • disease of metabolism
  • disorder of metabolic process
  • metabolic disease
  • metabolic disorder
  • metabolic process disease
  • metabolism disorder
Mapped terms 13 mapped terms
  • DOID:0014667
  • ICD10CM:E70-E88
  • ICD10WHO:E70-E90
  • ICD9:277.8
  • ICD9:277.9
  • MESH:D008659
  • MONDO:0005066
  • MeSH:D008659
  • NCIT:C3235
  • NCIt:C3235
  • SCTID:75934005
  • SNOMEDCT:75934005
  • UMLS:C0025517
Child trait(s) 16 child traits

Associated Polygenic Score(s)

Filter PGS by Participant Ancestry
Individuals included in:
G - Source of Variant Associations (GWAS)
D - Score Development/Training
E - PGS Evaluation
List of ancestries includes:
Display options:
Ancestry legend
Multi-ancestry (including European)
Multi-ancestry (excluding European)
African
East Asian
South Asian
Additional Asian Ancestries
European
Greater Middle Eastern
Hispanic or Latin American
Additional Diverse Ancestries
Not Reported
Note: This table shows all PGS for "metabolic disease" and any child terms of this trait in the EFO hierarchy by default.
Polygenic Score ID & Name PGS Publication ID (PGP) Reported Trait Mapped Trait(s) (Ontology) Number of Variants Ancestry distribution Scoring File (FTP Link)
PGS000014
(GPS_T2D)
PGP000006 |
Khera AV et al. Nat Genet (2018)
Type 2 diabetes type 2 diabetes mellitus 6,917,436
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000014/ScoringFiles/PGS000014.txt.gz - Check Terms/Licenses
PGS000020
(dGRS1000)
PGP000010 |
Läll K et al. Genet Med (2016)
Type 2 diabetes type 2 diabetes mellitus 7,502
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000020/ScoringFiles/PGS000020.txt.gz
PGS000021
(GRS1)
PGP000011 |
Oram RA et al. Diabetes Care (2015)
Type 1 diabetes type 1 diabetes mellitus 30
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000021/ScoringFiles/PGS000021.txt.gz
PGS000022
(T1D_GRS)
PGP000012 |
Perry DJ et al. Sci Rep (2018)
Type 1 diabetes type 1 diabetes mellitus 37
-
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000022/ScoringFiles/PGS000022.txt.gz
PGS000023
(AA_GRS)
PGP000013 |
Onengut-Gumuscu S et al. Diabetes Care (2019)
Type 1 diabetes type 1 diabetes mellitus 7
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000023/ScoringFiles/PGS000023.txt.gz
PGS000024
(GRS2)
PGP000014 |
Sharp SA et al. Diabetes Care (2019)
Type 1 diabetes type 1 diabetes mellitus 67
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000024/ScoringFiles/PGS000024.txt.gz
PGS000031
(GRSt)
PGP000020 |
Vassy JL et al. Diabetes (2014)
Type 2 diabetes type 2 diabetes mellitus 62
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000031/ScoringFiles/PGS000031.txt.gz
PGS000032
(GRSB)
PGP000020 |
Vassy JL et al. Diabetes (2014)
Type 2 diabetes (based on SNPs involved in β-cell function) type 2 diabetes mellitus 20
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000032/ScoringFiles/PGS000032.txt.gz
PGS000033
(GRSIR)
PGP000020 |
Vassy JL et al. Diabetes (2014)
Type 2 diabetes (based on SNPs involved in insulin resistance) type 2 diabetes mellitus 10
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000033/ScoringFiles/PGS000033.txt.gz
PGS000036
(gePS_T2D)
PGP000023 |
Mahajan A et al. Nat Genet (2018)
Type 2 diabetes type 2 diabetes mellitus 171,249
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000036/ScoringFiles/PGS000036.txt.gz
PGS000056
(PD_PRS)
PGP000041 |
Paul KC et al. JAMA Neurol (2018)
Parkinson Disease Parkinson disease 23
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000056/ScoringFiles/PGS000056.txt.gz
PGS000123
(2017_PD16)
PGP000059 |
Ibanez L et al. BMC Neurol (2017)
Parkinson disease Parkinson disease 16
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000123/ScoringFiles/PGS000123.txt.gz
PGS000125
(Qi_T2D_2017)
PGP000062 |
Qi Q et al. Diabetes (2017)
Type 2 Diabetes type 2 diabetes mellitus 80
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000125/ScoringFiles/PGS000125.txt.gz
PGS000199
(G-PROB_Gout)
PGP000081 |
Knevel R et al. Sci Transl Med (2020)
Gout gout 250
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000199/ScoringFiles/PGS000199.txt.gz
PGS000211
(PD19)
PGP000087 |
Pihlstrøm L et al. Mov Disord (2016)
Parkinson's disease Parkinson disease 19
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000211/ScoringFiles/PGS000211.txt.gz
PGS000330
(PRS_T2D)
PGP000100 |
Mars N et al. Nat Med (2020)
Type 2 diabetes type 2 diabetes mellitus 6,437,380
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000330/ScoringFiles/PGS000330.txt.gz
PGS000711
(HC328)
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Gout gout 183,332
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000711/ScoringFiles/PGS000711.txt.gz - Check Terms/Licenses
PGS000712
(T2D_HbA1c_39)
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
T2D (cases vs HbA1c filtered controls) type 2 diabetes mellitus 183,695
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000712/ScoringFiles/PGS000712.txt.gz - Check Terms/Licenses
PGS000713
(T2D)
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
T2D type 2 diabetes mellitus 183,830
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000713/ScoringFiles/PGS000713.txt.gz - Check Terms/Licenses
PGS000729
(T2D_PGS)
PGP000137 |
Ritchie SC et al. Nat Metab (2021)
Type 2 diabetes type 2 diabetes mellitus 2,017,388
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000729/ScoringFiles/PGS000729.txt.gz
PGS000750
(PRS_43)
PGP000155 |
Bobbili DR et al. J Med Genet (2020)
Parkinson's disease Parkinson disease 43
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000750/ScoringFiles/PGS000750.txt.gz
PGS000777
(PHS3_PDD)
PGP000181 |
Liu G et al. Nat Genet (2021)
Parkinsons disease dementia cognitive decline measurement,
Parkinson disease
3
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000777/ScoringFiles/PGS000777.txt.gz
PGS000804
(GRS582_T2Dmulti)
PGP000193 |
Polfus LM et al. HGG Adv (2021)
Type 2 diabetes type 2 diabetes mellitus 582
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000804/ScoringFiles/PGS000804.txt.gz - Check Terms/Licenses
PGS000805
(GRS582_T2Deur)
PGP000193 |
Polfus LM et al. HGG Adv (2021)
Type 2 diabetes type 2 diabetes mellitus 582
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000805/ScoringFiles/PGS000805.txt.gz - Check Terms/Licenses
PGS000806
(GRS582_T2Dafr)
PGP000193 |
Polfus LM et al. HGG Adv (2021)
Type 2 diabetes type 2 diabetes mellitus 582
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000806/ScoringFiles/PGS000806.txt.gz - Check Terms/Licenses
PGS000807
(GRS582_T2Dasn)
PGP000193 |
Polfus LM et al. HGG Adv (2021)
Type 2 diabetes type 2 diabetes mellitus 582
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000807/ScoringFiles/PGS000807.txt.gz - Check Terms/Licenses
PGS000808
(GRS582_T2Dhis)
PGP000193 |
Polfus LM et al. HGG Adv (2021)
Type 2 diabetes type 2 diabetes mellitus 582
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000808/ScoringFiles/PGS000808.txt.gz - Check Terms/Licenses
PGS000819
(PRS_DR)
PGP000203 |
Forrest IS et al. Hum Mol Genet (2021)
Diabetic retinopathy diabetic retinopathy 3,537,914
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000819/ScoringFiles/PGS000819.txt.gz
PGS000832
(T2D-GRS)
PGP000211 |
Aly DM et al. Nat Genet (2021)
Type 2 diabetes type 2 diabetes mellitus 384
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000832/ScoringFiles/PGS000832.txt.gz
PGS000833
(T1D)
PGP000211 |
Aly DM et al. Nat Genet (2021)
Type 1 diabetes type 1 diabetes mellitus 66
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000833/ScoringFiles/PGS000833.txt.gz
PGS000848
(T2D_Adiposity)
PGP000211 |
Aly DM et al. Nat Genet (2021)
Type 2 diabetes (based on SNPs associated with adiposity) type 2 diabetes mellitus 6
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000848/ScoringFiles/PGS000848.txt.gz
PGS000849
(T2D_Impaired_Lipids)
PGP000211 |
Aly DM et al. Nat Genet (2021)
Type 2 diabetes (based on SNPs associated with impaired lipids) type 2 diabetes mellitus 3
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000849/ScoringFiles/PGS000849.txt.gz
PGS000850
(T2D_Insulin_Action)
PGP000211 |
Aly DM et al. Nat Genet (2021)
Type 2 diabetes (based on SNPs associated with insulin action) type 2 diabetes mellitus 16
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000850/ScoringFiles/PGS000850.txt.gz
PGS000851
(T2D_Insulin_Action_Secretion)
PGP000211 |
Aly DM et al. Nat Genet (2021)
Type 2 diabetes (based on SNPs associated with insulin action/secretion) type 2 diabetes mellitus 37
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000851/ScoringFiles/PGS000851.txt.gz
PGS000852
(T2D_Insulin_Secretion_1)
PGP000211 |
Aly DM et al. Nat Genet (2021)
Type 2 diabetes (based on SNPs associated with insulin secretion) type 2 diabetes mellitus 8
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000852/ScoringFiles/PGS000852.txt.gz
PGS000853
(T2D_Insulin_Secretion_2)
PGP000211 |
Aly DM et al. Nat Genet (2021)
Type 2 diabetes (based on SNPs associated with insulin secretion) type 2 diabetes mellitus 21
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000853/ScoringFiles/PGS000853.txt.gz
PGS000854
(T2D_BetaCell)
PGP000211 |
Aly DM et al. Nat Genet (2021)
Type 2 diabetes (based on SNPs associated with beta cell function) type 2 diabetes mellitus 27
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000854/ScoringFiles/PGS000854.txt.gz
PGS000855
(T2D_Lipodystrophy)
PGP000211 |
Aly DM et al. Nat Genet (2021)
Type 2 diabetes (based on SNPs associated with lipodystrophy) type 2 diabetes mellitus 18
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000855/ScoringFiles/PGS000855.txt.gz
PGS000856
(T2D_LiverLipids)
PGP000211 |
Aly DM et al. Nat Genet (2021)
Type 2 diabetes (based on SNPs associated with liver lipids) type 2 diabetes mellitus 3
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000856/ScoringFiles/PGS000856.txt.gz
PGS000857
(T2D_Obesity)
PGP000211 |
Aly DM et al. Nat Genet (2021)
Type 2 diabetes (based on SNPs associated with obesity) type 2 diabetes mellitus 4
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000857/ScoringFiles/PGS000857.txt.gz
PGS000858
(T2D_Proinsulin)
PGP000211 |
Aly DM et al. Nat Genet (2021)
Type 2 diabetes (based on SNPs associated with proinsulin levels) type 2 diabetes mellitus 6
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000858/ScoringFiles/PGS000858.txt.gz
PGS000862
(DR)
PGP000211 |
Aly DM et al. Nat Genet (2021)
Diabetic Retinopathy diabetic retinopathy 30
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000862/ScoringFiles/PGS000862.txt.gz
PGS000864
(T2D-gPRS)
PGP000211 |
Aly DM et al. Nat Genet (2021)
Type 2 diabetes type 2 diabetes mellitus 389,243
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000864/ScoringFiles/PGS000864.txt.gz
PGS000868
(T2D_221)
PGP000214 |
Aksit MA et al. J Clin Endocrinol Metab (2020)
Type II diabetes type 2 diabetes mellitus 221
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000868/ScoringFiles/PGS000868.txt.gz
PGS000869
(T1D_48)
PGP000214 |
Aksit MA et al. J Clin Endocrinol Metab (2020)
Type I diabetes type 1 diabetes mellitus 48
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000869/ScoringFiles/PGS000869.txt.gz
PGS000902
(PRS90_PD)
PGP000235 |
Nalls MA et al. Lancet Neurol (2019)
Parkinson's disease Parkinson disease 90
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000902/ScoringFiles/PGS000902.txt.gz
PGS000903
(PRS1805_PD)
PGP000235 |
Nalls MA et al. Lancet Neurol (2019)
Parkinson's disease Parkinson disease 1,805
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000903/ScoringFiles/PGS000903.txt.gz
PGS000924
(GBE_HC702)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Disorders of porphyrin and bilirubin metabolism (time-to-event) bilirubin metabolism disease,
porphyrin metabolism disease
5
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000924/ScoringFiles/PGS000924.txt.gz
PGS001023
(GBE_HC703)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Disorders of mineral metabolism (time-to-event) mineral metabolism disease 2
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001023/ScoringFiles/PGS001023.txt.gz
PGS001248
(GBE_HC328)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Gout gout 880
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001248/ScoringFiles/PGS001248.txt.gz
PGS001249
(GBE_HC1215)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Gout (time-to-event) gout 1,796
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001249/ScoringFiles/PGS001249.txt.gz
PGS001294
(GBE_HC649)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Non-insulin-dependent diabetes (time-to-event) type 2 diabetes mellitus 3,496
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001294/ScoringFiles/PGS001294.txt.gz
PGS001295
(GBE_HC165)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Type 2 diabetes type 2 diabetes mellitus 385
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001295/ScoringFiles/PGS001295.txt.gz
PGS001296
(GBE_HC648)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Insulin-dependent diabetes mellitus (time-to-event) type 1 diabetes mellitus 356
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001296/ScoringFiles/PGS001296.txt.gz
PGS001297
(GBE_HC337)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Type 1 diabetes type 1 diabetes mellitus 69
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001297/ScoringFiles/PGS001297.txt.gz
PGS001298
(GBE_HC689)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Obesity (time-to-event) obesity 9,227
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001298/ScoringFiles/PGS001298.txt.gz
PGS001305
(GBE_HC608)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Vitamin b12 deficiency induced anemia (time-to-event) vitamin B12 deficiency,
anemia
121
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001305/ScoringFiles/PGS001305.txt.gz
PGS001318
(GBE_HC700)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Disorders of lipoprotein metabolism and other lipidaemias (time-to-event) metabolic disease 7,845
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001318/ScoringFiles/PGS001318.txt.gz
PGS001319
(GBE_HC708)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Other metabolic disorders (time-to-event) metabolic disease 2
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001319/ScoringFiles/PGS001319.txt.gz
PGS001327
(GBE_HC221)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Diabetes diabetes mellitus 4,053
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001327/ScoringFiles/PGS001327.txt.gz
PGS001329
(GBE_HC652)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Unspecified diabetes mellitus (time-to-event) diabetes mellitus 2,270
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001329/ScoringFiles/PGS001329.txt.gz
PGS001353
(PRS6_PD)
PGP000250 |
Sia MW et al. Mov Disord (2021)
Parkinson's disease Parkinson disease 6
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001353/ScoringFiles/PGS001353.txt.gz
PGS001357
(T2D_AnnoPred_PRS)
PGP000252 |
Ye Y et al. Circ Genom Precis Med (2021)
Type 2 diabetes type 2 diabetes mellitus 2,996,761
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001357/ScoringFiles/PGS001357.txt.gz
PGS001371
(GBE_INI2976)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Age diabetes diagnosed diabetes mellitus,
age at diagnosis
26
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001371/ScoringFiles/PGS001371.txt.gz
PGS001774
(PRS12_PD)
PGP000254 |
Chairta PP et al. Genes (Basel) (2021)
Parkinson's disease Parkinson disease 12
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001774/ScoringFiles/PGS001774.txt.gz
PGS001781
(T2D_PRSCS)
PGP000261 |
Tamlander M et al. Commun Biol (2022)
Type 2 diabetes type 2 diabetes mellitus 1,091,673
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001781/ScoringFiles/PGS001781.txt.gz
PGS001789
(1kgeur_gbmi_leaveUKBBout_Gout_pst_eff_a1_b0.5_phiauto)
PGP000262 |
Wang Y et al. medRxiv (2021)
|Pre
Gout gout 910,151
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001789/ScoringFiles/PGS001789.txt.gz
PGS001817
(portability-PLR_250.1)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Type 1 diabetes type 1 diabetes mellitus 825
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001817/ScoringFiles/PGS001817.txt.gz
PGS001818
(portability-PLR_250.2)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Type 2 diabetes type 2 diabetes mellitus 30,745
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001818/ScoringFiles/PGS001818.txt.gz
PGS001819
(portability-PLR_250.7)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Diabetic retinopathy diabetic retinopathy 249
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001819/ScoringFiles/PGS001819.txt.gz
PGS001822
(portability-PLR_274.1)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Gout gout 216
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001822/ScoringFiles/PGS001822.txt.gz
PGS001823
(portability-PLR_275.1)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Disorders of iron metabolism iron metabolism disease 654
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001823/ScoringFiles/PGS001823.txt.gz
PGS001824
(portability-PLR_277.4)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Disorders of bilirubin excretion Disorder of bilirubin metabolism and excretion 22
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001824/ScoringFiles/PGS001824.txt.gz
PGS001825
(portability-PLR_278)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Overweight, obesity and other hyperalimentation obesity,
overweight body mass index status,
overnutrition
13,009
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001825/ScoringFiles/PGS001825.txt.gz
PGS002025
(portability-ldpred2_250.1)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Type 1 diabetes type 1 diabetes mellitus 106,800
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002025/ScoringFiles/PGS002025.txt.gz
PGS002026
(portability-ldpred2_250.2)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Type 2 diabetes type 2 diabetes mellitus 830,783
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002026/ScoringFiles/PGS002026.txt.gz
PGS002027
(portability-ldpred2_250.7)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Diabetic retinopathy diabetic retinopathy 389,029
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002027/ScoringFiles/PGS002027.txt.gz
PGS002030
(portability-ldpred2_274.1)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Gout gout 163,210
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002030/ScoringFiles/PGS002030.txt.gz
PGS002031
(portability-ldpred2_275.1)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Disorders of iron metabolism iron metabolism disease 6,713
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002031/ScoringFiles/PGS002031.txt.gz
PGS002032
(portability-ldpred2_277.4)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Disorders of bilirubin excretion Disorder of bilirubin metabolism and excretion 19,768
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002032/ScoringFiles/PGS002032.txt.gz
PGS002033
(portability-ldpred2_278)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Overweight, obesity and other hyperalimentation obesity,
overweight body mass index status,
overnutrition
846,292
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002033/ScoringFiles/PGS002033.txt.gz
PGS002098
(portability-ldpred2_abnormal_appetite)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Recent poor appetite or overeating eating disorder 764,146
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002098/ScoringFiles/PGS002098.txt.gz
PGS002243
(ldpred_t2d)
PGP000271 |
Mars N et al. Cell Genom (2022)
Type 2 diabetes type 2 diabetes mellitus 6,431,973
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002243/ScoringFiles/PGS002243.txt.gz
PGS002256
(GRS4_GDM)
PGP000282 |
Wu Q et al. Diabetol Metab Syndr (2022)
Gestational diabetes mellitus in early pregnancy gestational diabetes 4
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002256/ScoringFiles/PGS002256.txt.gz
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
PGS002307
(PRS33_gout)
PGP000329 |
Zhang Y et al. BMC Med (2022)
Gout gout 33
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002307/ScoringFiles/PGS002307.txt.gz
PGS002308
(PRScsx_T2D)
PGP000331 |
Ge T et al. Genome Med (2022)
Type 2 diabetes type 2 diabetes mellitus 1,259,754
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002308/ScoringFiles/PGS002308.txt.gz
PGS002321
(disease_DIABETES_ANY_DIAGNOSED.BOLT-LMM)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Diabetes (any type) diabetes mellitus 1,109,311
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002321/ScoringFiles/PGS002321.txt.gz
PGS002324
(disease_ENDOCRINE_DIABETES.BOLT-LMM)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Endocrine and diabetes diseases diabetes mellitus,
endocrine system disease
1,109,311
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002324/ScoringFiles/PGS002324.txt.gz
PGS002354
(disease_T2D.BOLT-LMM)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Type 2 diabetes type 2 diabetes mellitus 1,109,311
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002354/ScoringFiles/PGS002354.txt.gz
PGS002379
(disease_T2D.BOLT-LMM-BBJ)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Type 2 diabetes type 2 diabetes mellitus 920,930
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002379/ScoringFiles/PGS002379.txt.gz
PGS002393
(disease_DIABETES_ANY_DIAGNOSED.P+T.0.0001)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Diabetes (any type) diabetes mellitus 3,813
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002393/ScoringFiles/PGS002393.txt.gz
PGS002396
(disease_ENDOCRINE_DIABETES.P+T.0.0001)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Endocrine and diabetes diseases diabetes mellitus,
endocrine system disease
3,681
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002396/ScoringFiles/PGS002396.txt.gz
PGS002426
(disease_T2D.P+T.0.0001)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Type 2 diabetes type 2 diabetes mellitus 3,947
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002426/ScoringFiles/PGS002426.txt.gz
PGS002442
(disease_DIABETES_ANY_DIAGNOSED.P+T.0.001)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Diabetes (any type) diabetes mellitus 15,915
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002442/ScoringFiles/PGS002442.txt.gz
PGS002445
(disease_ENDOCRINE_DIABETES.P+T.0.001)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Endocrine and diabetes diseases diabetes mellitus,
endocrine system disease
15,629
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002445/ScoringFiles/PGS002445.txt.gz
PGS002475
(disease_T2D.P+T.0.001)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Type 2 diabetes type 2 diabetes mellitus 16,275
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002475/ScoringFiles/PGS002475.txt.gz
PGS002491
(disease_DIABETES_ANY_DIAGNOSED.P+T.0.01)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Diabetes (any type) diabetes mellitus 95,066
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002491/ScoringFiles/PGS002491.txt.gz
PGS002494
(disease_ENDOCRINE_DIABETES.P+T.0.01)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Endocrine and diabetes diseases diabetes mellitus,
endocrine system disease
93,293
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002494/ScoringFiles/PGS002494.txt.gz
PGS002524
(disease_T2D.P+T.0.01)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Type 2 diabetes type 2 diabetes mellitus 95,287
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002524/ScoringFiles/PGS002524.txt.gz
PGS002540
(disease_DIABETES_ANY_DIAGNOSED.P+T.1e-06)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Diabetes (any type) diabetes mellitus 598
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002540/ScoringFiles/PGS002540.txt.gz
PGS002543
(disease_ENDOCRINE_DIABETES.P+T.1e-06)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Endocrine and diabetes diseases diabetes mellitus,
endocrine system disease
528
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002543/ScoringFiles/PGS002543.txt.gz
PGS002573
(disease_T2D.P+T.1e-06)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Type 2 diabetes type 2 diabetes mellitus 673
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002573/ScoringFiles/PGS002573.txt.gz
PGS002589
(disease_DIABETES_ANY_DIAGNOSED.P+T.5e-08)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Diabetes (any type) diabetes mellitus 267
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002589/ScoringFiles/PGS002589.txt.gz
PGS002592
(disease_ENDOCRINE_DIABETES.P+T.5e-08)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Endocrine and diabetes diseases diabetes mellitus,
endocrine system disease
187
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002592/ScoringFiles/PGS002592.txt.gz
PGS002622
(disease_T2D.P+T.5e-08)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Type 2 diabetes type 2 diabetes mellitus 293
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002622/ScoringFiles/PGS002622.txt.gz
PGS002638
(disease_DIABETES_ANY_DIAGNOSED.PolyFun-pred)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Diabetes (any type) diabetes mellitus 247,386
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002638/ScoringFiles/PGS002638.txt.gz
PGS002641
(disease_ENDOCRINE_DIABETES.PolyFun-pred)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Endocrine and diabetes diseases diabetes mellitus,
endocrine system disease
256,678
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002641/ScoringFiles/PGS002641.txt.gz
PGS002671
(disease_T2D.PolyFun-pred)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Type 2 diabetes type 2 diabetes mellitus 258,382
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002671/ScoringFiles/PGS002671.txt.gz
PGS002687
(disease_DIABETES_ANY_DIAGNOSED.SBayesR)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Diabetes (any type) diabetes mellitus 923,080
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002687/ScoringFiles/PGS002687.txt.gz
PGS002690
(disease_ENDOCRINE_DIABETES.SBayesR)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Endocrine and diabetes diseases diabetes mellitus,
endocrine system disease
905,637
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002690/ScoringFiles/PGS002690.txt.gz
PGS002720
(disease_T2D.SBayesR)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Type 2 diabetes type 2 diabetes mellitus 911,809
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002720/ScoringFiles/PGS002720.txt.gz
PGS002733
(GRS17_T2D)
PGP000342 |
Pezzilli S et al. Diabetes Metab (2022)
Type 2 diabetes type 2 diabetes mellitus 17
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002733/ScoringFiles/PGS002733.txt.gz

Performance Metrics

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

PGS Performance
Metric ID (PPM)
Evaluated Score PGS Sample Set ID
(PSS)
Performance Source Trait PGS Effect Sizes
(per SD change)
Classification Metrics Other Metrics Covariates Included in the Model PGS Performance:
Other Relevant Information
PPM000023 PGS000014
(GPS_T2D)
PSS000017|
European Ancestry|
288,978 individuals
PGP000006 |
Khera AV et al. Nat Genet (2018)
Reported Trait: Type 2 diabetes AUROC: 0.73 [0.72, 0.73] Nagelkerke’s R2 (estimate of variance explained by the PGS after covariate adjustment): 0.029 age; sex; Ancestry PC 1-4; genotyping chip
PPM002477 PGS000014
(GPS_T2D)
PSS001117|
European Ancestry|
68,229 individuals
PGP000218 |
He Y et al. Diabetes Care (2021)
|Ext.
Reported Trait: Incident type II diabetes C-index: 0.709 [0.696, 0.722] Hazard ratio (HR, top 10% vs. remaining 90%): 2.0 [1.73, 2.31] Sex, age, principal components, assessment center
PPM002478 PGS000014
(GPS_T2D)
PSS001117|
European Ancestry|
68,229 individuals
PGP000218 |
He Y et al. Diabetes Care (2021)
|Ext.
Reported Trait: Incident type II diabetes in males C-index: 0.68 [0.663, 0.697] Age, principal components and assessment center
PPM002479 PGS000014
(GPS_T2D)
PSS001117|
European Ancestry|
68,229 individuals
PGP000218 |
He Y et al. Diabetes Care (2021)
|Ext.
Reported Trait: Incident type II diabetes in females C-index: 0.705 [0.682, 0.728] Age, principal components and assessment center
PPM002480 PGS000014
(GPS_T2D)
PSS001117|
European Ancestry|
68,229 individuals
PGP000218 |
He Y et al. Diabetes Care (2021)
|Ext.
Reported Trait: Incident type II diabetes C-index: 0.776 [0.764, 0.788] Sex, age, principal components, assessment center, polyexposure score
PPM002481 PGS000014
(GPS_T2D)
PSS001117|
European Ancestry|
68,229 individuals
PGP000218 |
He Y et al. Diabetes Care (2021)
|Ext.
Reported Trait: Incident type II diabetes C-index: 0.844 [0.834, 0.854] Sex, age, principal components, assessment center, clinical risk score
PPM002482 PGS000014
(GPS_T2D)
PSS001117|
European Ancestry|
68,229 individuals
PGP000218 |
He Y et al. Diabetes Care (2021)
|Ext.
Reported Trait: Incident type II diabetes C-index: 0.855 [0.845, 0.865] Sex, age, principal components, assessment center, polyexposure socre, clinical risk score
PPM002483 PGS000014
(GPS_T2D)
PSS001117|
European Ancestry|
68,229 individuals
PGP000218 |
He Y et al. Diabetes Care (2021)
|Ext.
Reported Trait: Incident type II diabetes in females C-index: 0.786 [0.765, 0.807] Age, principal components, assessment center, polyexposure score
PPM002485 PGS000014
(GPS_T2D)
PSS001117|
European Ancestry|
68,229 individuals
PGP000218 |
He Y et al. Diabetes Care (2021)
|Ext.
Reported Trait: Incident type II diabetes in females C-index: 0.859 [0.842, 0.876] Sex, age, principal components, assessment center, clinical risk score
PPM002486 PGS000014
(GPS_T2D)
PSS001117|
European Ancestry|
68,229 individuals
PGP000218 |
He Y et al. Diabetes Care (2021)
|Ext.
Reported Trait: Incident type II diabetes in males C-index: 0.749 [0.734, 0.764] Age, principal components, assessment center, polyexposure score
PPM002487 PGS000014
(GPS_T2D)
PSS001117|
European Ancestry|
68,229 individuals
PGP000218 |
He Y et al. Diabetes Care (2021)
|Ext.
Reported Trait: Incident type II diabetes in males C-index: 0.821 [0.808, 0.834] Age, principal components, assessment center, polyexposure socre, clinical risk score
PPM002488 PGS000014
(GPS_T2D)
PSS001117|
European Ancestry|
68,229 individuals
PGP000218 |
He Y et al. Diabetes Care (2021)
|Ext.
Reported Trait: Incident type II diabetes in males C-index: 0.834 [0.821, 0.847] Sex, age, principal components, assessment center, clinical risk score
PPM002484 PGS000014
(GPS_T2D)
PSS001117|
European Ancestry|
68,229 individuals
PGP000218 |
He Y et al. Diabetes Care (2021)
|Ext.
Reported Trait: Incident type II diabetes in females C-index: 0.869 [0.853, 0.885] Age, principal components, assessment center, polyexposure socre, clinical risk score
PPM000040 PGS000020
(dGRS1000)
PSS000025|
European Ancestry|
6,280 individuals
PGP000010 |
Läll K et al. Genet Med (2016)
Reported Trait: Incident type 2 diabetes HR: 1.48 [1.32, 1.66] C-index: 0.79 [0.771, 0.812] BMI category, smoking level, waist-to-hip ratio, waist circumference, physical activity level, history of high blood glucose, fruit and vegetable consumption, and sex. Cox age-as-time-scale
PPM000132 PGS000021
(GRS1)
PSS000083|
European Ancestry|
2,768 individuals
PGP000038 |
Patel KA et al. Diabetes (2016)
|Ext.
Reported Trait: Type 1 diabetes aetiology (non-monogenic) AUROC: 0.87 [0.86, 0.89] Testing the ability of the GRS to discriminate between two sets of cases: - Positive: individuals with type 1 diabetes - Negative: individuals with diabetes and a maturity-onset diabetes of young (MODY) mutation
PPM000041 PGS000021
(GRS1)
PSS000026|
European Ancestry|
223 individuals
PGP000011 |
Oram RA et al. Diabetes Care (2015)
Reported Trait: Severe insulin deficiency AUROC: 0.96 [0.94, 0.99] AUROC (without covariates): 0.87 islet auto-antibody status, body mass index (BMI), age at diagnosis
PPM000046 PGS000021
(GRS1)
PSS000030|
African Ancestry|
3,949 individuals
PGP000013 |
Onengut-Gumuscu S et al. Diabetes Care (2019)
|Ext.
Reported Trait: Type 1 diabetes AUROC: 0.798
PPM000049 PGS000021
(GRS1)
PSS000032|
European Ancestry|
374,000 individuals
PGP000014 |
Sharp SA et al. Diabetes Care (2019)
|Ext.
Reported Trait: Type 1 diabetes AUROC: 0.893
PPM000042 PGS000022
(T1D_GRS)
PSS000029|
European Ancestry|
1,447 individuals
PGP000012 |
Perry DJ et al. Sci Rep (2018)
Reported Trait: Type 1 diabetes AUROC: 0.8508 AUROCs are reported with respect to unrelated-control samples
PPM000043 PGS000022
(T1D_GRS)
PSS000028|
Hispanic or Latin American Ancestry|
252 individuals
PGP000012 |
Perry DJ et al. Sci Rep (2018)
Reported Trait: Type 1 diabetes AUROC: 0.9003 AUROCs are reported with respect to unrelated-control samples
PPM000044 PGS000022
(T1D_GRS)
PSS000027|
African Ancestry|
299 individuals
PGP000012 |
Perry DJ et al. Sci Rep (2018)
Reported Trait: Type 1 diabetes AUROC: 0.7522 AUROCs are reported with respect to unrelated-control samples
PPM000045 PGS000023
(AA_GRS)
PSS000030|
African Ancestry|
3,949 individuals
PGP000013 |
Onengut-Gumuscu S et al. Diabetes Care (2019)
Reported Trait: Type 1 diabetes AUROC: 0.87 NOTE: Evaluated using cross-validation on training samples (20% heldout, 1000 iterations)
PPM000047 PGS000023
(AA_GRS)
PSS000031|
African Ancestry|
145 individuals
PGP000013 |
Onengut-Gumuscu S et al. Diabetes Care (2019)
Reported Trait: Type 1 diabetes AUROC: 0.779
PPM000048 PGS000024
(GRS2)
PSS000032|
European Ancestry|
374,000 individuals
PGP000014 |
Sharp SA et al. Diabetes Care (2019)
Reported Trait: Type 1 diabetes AUROC: 0.921 Youden index: 0.698
PPM000753 PGS000024
(GRS2)
PSS000368|
Ancestry Not Reported|
7,798 individuals
PGP000091 |
Ferrat LA et al. Nat Med (2020)
|Ext.
Reported Trait: Type 1 diabetes (5 years horizon time; landmark age 2 years) AUROC: 0.93 autoantibodies, family history
PPM000754 PGS000024
(GRS2)
PSS000368|
Ancestry Not Reported|
7,798 individuals
PGP000091 |
Ferrat LA et al. Nat Med (2020)
|Ext.
Reported Trait: Type 1 diabetes (8 years horizon time; landmark age 2 years) AUROC: 0.87 autoantibodies, family history
PPM000755 PGS000024
(GRS2)
PSS000368|
Ancestry Not Reported|
7,798 individuals
PGP000091 |
Ferrat LA et al. Nat Med (2020)
|Ext.
Reported Trait: Type 1 diabetes (5 years horizon time; landmark age 4 years) AUROC: 0.96 autoantibodies, family history
PPM000751 PGS000024
(GRS2)
PSS000368|
Ancestry Not Reported|
7,798 individuals
PGP000091 |
Ferrat LA et al. Nat Med (2020)
|Ext.
Reported Trait: Type 1 diabetes (1 year horizon time; landmark age 2 years) AUROC: 0.96 autoantibodies, family history
PPM000752 PGS000024
(GRS2)
PSS000368|
Ancestry Not Reported|
7,798 individuals
PGP000091 |
Ferrat LA et al. Nat Med (2020)
|Ext.
Reported Trait: Type 1 diabetes (3 years horizon time; landmark age 2 years) AUROC: 0.94 autoantibodies, family history
PPM000750 PGS000024
(GRS2)
PSS000368|
Ancestry Not Reported|
7,798 individuals
PGP000091 |
Ferrat LA et al. Nat Med (2020)
|Ext.
Reported Trait: Type 1 diabetes (by age 8; landmark age 2 years) AUROC: 0.73 [0.7, 0.77]
PPM002250 PGS000024
(GRS2)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
|Ext.
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.0 [0.93, 1.07] PC1-10 8 proxy variants were used to evaluate this score
PPM002251 PGS000024
(GRS2)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
|Ext.
Reported Trait: Moderate Obesity-related Diabetes OR: 1.01 [0.95, 1.08] PC1-10 8 proxy variants were used to evaluate this score
PPM002252 PGS000024
(GRS2)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
|Ext.
Reported Trait: Moderate Age-Related Diabetes OR: 0.99 [0.94, 1.04] PC1-10 8 proxy variants were used to evaluate this score
PPM002249 PGS000024
(GRS2)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
|Ext.
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.0 [0.93, 1.07] PC1-10 8 proxy variants were used to evaluate this score
PPM002248 PGS000024
(GRS2)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
|Ext.
Reported Trait: Severe Autoimmune Diabetes OR: 2.55 [2.28, 2.86] PC1-10 8 proxy variants were used to evaluate this score
PPM014801 PGS000024
(GRS2)
PSS009895|
European Ancestry|
1,168 individuals
PGP000338 |
Oram RA et al. Diabetes Care (2022)
|Ext.
Reported Trait: Diabetes autoantibody positive insulin sensitive AUROC: 0.864 [0.823, 0.905]
PPM014803 PGS000024
(GRS2)
PSS009893|
African Ancestry|
366 individuals
PGP000338 |
Oram RA et al. Diabetes Care (2022)
|Ext.
Reported Trait: Diabetes autoantibody positive insulin sensitive AUROC: 0.851 [0.805, 0.897]
PPM014805 PGS000024
(GRS2)
PSS009894|
Hispanic or Latin American Ancestry|
412 individuals
PGP000338 |
Oram RA et al. Diabetes Care (2022)
|Ext.
Reported Trait: Diabetes autoantibody positive insulin sensitive AUROC: 0.935 [0.906, 0.964]
PPM014807 PGS000024
(GRS2)
PSS009896|
Ancestry Not Reported|
99 individuals
PGP000338 |
Oram RA et al. Diabetes Care (2022)
|Ext.
Reported Trait: Diabetes autoantibody positive insulin sensitive AUROC: 0.79 [0.679, 0.902]
PPM000062 PGS000031
(GRSt)
PSS000044|
European Ancestry|
3,471 individuals
PGP000020 |
Vassy JL et al. Diabetes (2014)
Reported Trait: Incident type 2 diabetes cases HR: 1.06 [1.04, 1.08] C-index: 0.906 [0.892, 0.92] age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels Results from the "Clinical model"
PPM000063 PGS000031
(GRSt)
PSS000043|
European Ancestry|
1,650 individuals
PGP000020 |
Vassy JL et al. Diabetes (2014)
Reported Trait: Incident type 2 diabetes cases HR: 1.06 [1.02, 1.1] C-index: 0.853 [0.81, 0.896] age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels Results from the "Clinical model"
PPM000064 PGS000031
(GRSt)
PSS000042|
African Ancestry|
820 individuals
PGP000020 |
Vassy JL et al. Diabetes (2014)
Reported Trait: Incident type 2 diabetes cases HR: 1.05 [1.0, 1.09] C-index: 0.771 [0.727, 0.814] age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels Results from the "Clinical model", SNPs were not weighted by their effect size as the betas were measure in Europeans
PPM000065 PGS000032
(GRSB)
PSS000044|
European Ancestry|
3,471 individuals
PGP000020 |
Vassy JL et al. Diabetes (2014)
Reported Trait: Incident type 2 diabetes cases HR: 1.1 [1.06, 1.14] age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels Results from the "Clinical model"
PPM000066 PGS000032
(GRSB)
PSS000043|
European Ancestry|
1,650 individuals
PGP000020 |
Vassy JL et al. Diabetes (2014)
Reported Trait: Incident type 2 diabetes cases HR: 1.09 [1.02, 1.17] age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels Results from the "Clinical model"
PPM000067 PGS000032
(GRSB)
PSS000042|
African Ancestry|
820 individuals
PGP000020 |
Vassy JL et al. Diabetes (2014)
Reported Trait: Incident type 2 diabetes cases HR: 1.06 [0.99, 1.15] age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels Results from the "Clinical model", SNPs were not weighted by their effect size as the betas were measure in Europeans
PPM002415 PGS000032
(GRSB)
PSS001092|
Ancestry Not Reported|
5,740 individuals
PGP000214 |
Aksit MA et al. J Clin Endocrinol Metab (2020)
|Ext.
Reported Trait: Cystic-fibrosis related diabetes onset HR: 1.192 PCs(1-4), site of recruitment
PPM000068 PGS000033
(GRSIR)
PSS000044|
European Ancestry|
3,471 individuals
PGP000020 |
Vassy JL et al. Diabetes (2014)
Reported Trait: Incident type 2 diabetes cases HR: 0.98 [0.93, 1.04] age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels Results from the "Clinical model"
PPM000069 PGS000033
(GRSIR)
PSS000043|
European Ancestry|
1,650 individuals
PGP000020 |
Vassy JL et al. Diabetes (2014)
Reported Trait: Incident type 2 diabetes cases HR: 1.01 [0.91, 1.12] age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels Results from the "Clinical model"
PPM000070 PGS000033
(GRSIR)
PSS000042|
African Ancestry|
820 individuals
PGP000020 |
Vassy JL et al. Diabetes (2014)
Reported Trait: Incident type 2 diabetes cases HR: 1.06 [0.99, 1.15] age, sex, family history (parents), body mass index, systolic blood pressure, fasting glucose, log-HDL cholesterol, log-triglyceride levels Results from the "Clinical model", SNPs were not weighted by their effect size as the betas were measure in Europeans
PPM000080 PGS000036
(gePS_T2D)
PSS000054|
European Ancestry|
324,870 individuals
PGP000024 |
Udler MS et al. Endocr Rev (2019)
|Ext.
Reported Trait: Type 2 diabetes AUROC: 0.66 genotyping array, first 6 PCs of ancestry
PPM000081 PGS000036
(gePS_T2D)
PSS000054|
European Ancestry|
324,870 individuals
PGP000024 |
Udler MS et al. Endocr Rev (2019)
|Ext.
Reported Trait: Type 2 diabetes AUROC: 0.73 age, sex, genotyping array, first 6 PCs of ancestry
PPM014802 PGS000036
(gePS_T2D)
PSS009895|
European Ancestry|
1,168 individuals
PGP000338 |
Oram RA et al. Diabetes Care (2022)
|Ext.
Reported Trait: Diabetes autoantibody positive insulin sensitive AUROC: 0.661 [0.606, 0.716]
PPM014804 PGS000036
(gePS_T2D)
PSS009893|
African Ancestry|
366 individuals
PGP000338 |
Oram RA et al. Diabetes Care (2022)
|Ext.
Reported Trait: Diabetes autoantibody positive insulin sensitive AUROC: 0.574 [0.506, 0.643]
PPM014806 PGS000036
(gePS_T2D)
PSS009894|
Hispanic or Latin American Ancestry|
412 individuals
PGP000338 |
Oram RA et al. Diabetes Care (2022)
|Ext.
Reported Trait: Diabetes autoantibody positive insulin sensitive AUROC: 0.722 [0.667, 0.778]
PPM014808 PGS000036
(gePS_T2D)
PSS009896|
Ancestry Not Reported|
99 individuals
PGP000338 |
Oram RA et al. Diabetes Care (2022)
|Ext.
Reported Trait: Diabetes autoantibody positive insulin sensitive AUROC: 0.677 [0.532, 0.822]
PPM000142 PGS000056
(PD_PRS)
PSS000088|
European Ancestry|
285 individuals
PGP000041 |
Paul KC et al. JAMA Neurol (2018)
Reported Trait: Motor decline (time to UPDRS III 20-point increase HR: 1.42 [1.0, 2.01] sex, age at diagnosis
PPM000143 PGS000056
(PD_PRS)
PSS000088|
European Ancestry|
285 individuals
PGP000041 |
Paul KC et al. JAMA Neurol (2018)
Reported Trait: Motor decline (time to H&Y Scale stage ≥ 3) HR: 1.34 [1.0, 1.79] sex, age at diagnosis
PPM000141 PGS000056
(PD_PRS)
PSS000088|
European Ancestry|
285 individuals
PGP000041 |
Paul KC et al. JAMA Neurol (2018)
Reported Trait: Cognitive decline (time to MMSE 4-point decrease) HR: 1.44 [1.0, 2.07] sex, age at diagnosis
PPM000398 PGS000123
(2017_PD16)
PSS000226|
European Ancestry|
786 individuals
PGP000059 |
Ibanez L et al. BMC Neurol (2017)
Reported Trait: Age at Onset (Survival) β: 9.3 [3.59, 15.0] Association (p-value): 0.00141 age at last assessment, sex, 2 PCs of ancestry Cox regression
PPM000396 PGS000123
(2017_PD16)
PSS000225|
European Ancestry|
469 individuals
PGP000059 |
Ibanez L et al. BMC Neurol (2017)
Reported Trait: Age at Onset (Survival) β: 16.62 [9.63, 23.61] Association (p-value): 3.19e-06 age at last assessment, sex, 2 PCs of ancestry Cox regression
PPM000397 PGS000123
(2017_PD16)
PSS000226|
European Ancestry|
786 individuals
PGP000059 |
Ibanez L et al. BMC Neurol (2017)
Reported Trait: Parkinson disease β: 4.85 [2.32, 7.39] Association (p-value): 0.00018 age at last assessment, sex, 2 PCs of ancestry
PPM000395 PGS000123
(2017_PD16)
PSS000225|
European Ancestry|
469 individuals
PGP000059 |
Ibanez L et al. BMC Neurol (2017)
Reported Trait: Parkinson disease β: 5.84 [3.1, 8.59] Association (p-value): 3e-05 age at last assessment, sex, 2 PCs of ancestry
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
PPM000582 PGS000199
(G-PROB_Gout)
PSS000311|
European Ancestry|
243 individuals
PGP000081 |
Knevel R et al. Sci Transl Med (2020)
Reported Trait: Gout diagnosis in patient with arthritis AUROC: 0.85 [0.8, 0.91] (Setting III: Selecting patients presenting with inflammatory arthritis at their first visit)
PPM000576 PGS000199
(G-PROB_Gout)
PSS000310|
European Ancestry|
245 individuals
PGP000081 |
Knevel R et al. Sci Transl Med (2020)
Reported Trait: Gout diagnosis in patient with arthritis AUROC: 0.82 [0.73, 0.94] (Setting II: Assigning patient diagnoses based on medical records)
PPM000570 PGS000199
(G-PROB_Gout)
PSS000320|
Multi-ancestry (including European)|
1,211 individuals
PGP000081 |
Knevel R et al. Sci Transl Med (2020)
Reported Trait: Gout diagnosis in patient with arthritis AUROC: 0.78 [0.75, 0.8] (Setting I: Assigning patient diagnoses based on billing codes)
PPM000648 PGS000211
(PD19)
PSS000358|
European Ancestry|
336 individuals
PGP000087 |
Pihlstrøm L et al. Mov Disord (2016)
Reported Trait: Motor decline (time to Hoehn & Yahr ≥ 3) HR: 1.29 [1.06, 1.56] sex, age at diagnosis
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
PPM001603 PGS000711
(HC328)
PSS000815|
European Ancestry|
87,413 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: Gout AUROC: 0.7107 Age, sex, PCs(1-10)
PPM001616 PGS000711
(HC328)
PSS000816|
European Ancestry|
135,300 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: Gout HR: 1.58 [1.51, 1.65] C-index: 0.673 Age as time scale, sex, batch, PCs(1-10)
PPM001604 PGS000712
(T2D_HbA1c_39)
PSS000755|
European Ancestry|
87,413 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: Type 2 diabetes AUROC: 0.68713 Age, sex, PCs(1-10)
PPM001605 PGS000713
(T2D)
PSS000754|
European Ancestry|
87,413 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: Type 2 diabetes AUROC: 0.688 Age, sex, PCs(1-10)
PPM001615 PGS000713
(T2D)
PSS000756|
European Ancestry|
135,300 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: Type 2 diabetes HR: 1.49 [1.47, 1.51] C-index: 0.669 Age as time scale, sex, batch, PCs(1-10)
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
PPM001904 PGS000750
(PRS_43)
PSS000952|
Multi-ancestry (including European)|
486 individuals
PGP000155 |
Bobbili DR et al. J Med Genet (2020)
Reported Trait: Parkinson's disease AUROC: 0.703 [0.698, 0.708] Sex, singleton loss of function variant count, Parkinson's disease family history. Mean AUROC over 1000 repetitions on test sets randomly drawn with a 0.9 training-test pslit
PPM001905 PGS000750
(PRS_43)
PSS000952|
Multi-ancestry (including European)|
486 individuals
PGP000155 |
Bobbili DR et al. J Med Genet (2020)
Reported Trait: Parkinson's disease AUROC: 0.653 [0.647, 0.659] Sex, singleton loss of function variant count. Mean AUROC over 1000 repetitions on test sets randomly drawn with a 0.9 training-test pslit
PPM001906 PGS000750
(PRS_43)
PSS000952|
Multi-ancestry (including European)|
486 individuals
PGP000155 |
Bobbili DR et al. J Med Genet (2020)
Reported Trait: Parkinson's disease AUROC: 0.616 [0.611, 0.621] Sex Mean AUROC over 1000 repetitions on test sets randomly drawn with a 0.9 training-test pslit
PPM002014 PGS000777
(PHS3_PDD)
PSS000997|
Multi-ancestry (including European)|
404 individuals
PGP000181 |
Liu G et al. Nat Genet (2021)
Reported Trait: Parkinson's disease dementia HR: 2.05 [1.16, 3.61] AUROC: 0.688 [0.519, 0.817] Hazard's Ratio (HR, top 25% vs PHS of 0): 3.2 [1.26, 8.11] Age at Parkinson's disease onset, sex, years of education, PCs(1-10), study cohort, genetic factors (genes: GBA, APOE ε4)
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.
PPM002190 PGS000819
(PRS_DR)
PSS001067|
Multi-ancestry (including European)|
6,079 individuals
PGP000203 |
Forrest IS et al. Hum Mol Genet (2021)
Reported Trait: Retinal hemorrhage in inidividuals with type 2 diabetes OR: 1.44 [1.03, 2.02]
PPM002185 PGS000819
(PRS_DR)
PSS001067|
Multi-ancestry (including European)|
6,079 individuals
PGP000203 |
Forrest IS et al. Hum Mol Genet (2021)
Reported Trait: Diabetic retinopathy in individuals with type 2 diabetes OR: 1.12 [1.04, 1.2]
PPM002186 PGS000819
(PRS_DR)
PSS001066|
European Ancestry|
978 individuals
PGP000203 |
Forrest IS et al. Hum Mol Genet (2021)
Reported Trait: Diabetic retinopathy in individuals with type 2 diabetes OR: 1.22 [1.02, 1.41]
PPM002187 PGS000819
(PRS_DR)
PSS001065|
African Ancestry|
1,925 individuals
PGP000203 |
Forrest IS et al. Hum Mol Genet (2021)
Reported Trait: Diabetic retinopathy in individuals with type 2 diabetes OR: 1.15 [1.03, 1.28]
PPM002188 PGS000819
(PRS_DR)
PSS001067|
Multi-ancestry (including European)|
6,079 individuals
PGP000203 |
Forrest IS et al. Hum Mol Genet (2021)
Reported Trait: Diabetic retinopathy in individuals with type 2 diabetes Odds Ratio (OR, top 10% vs bottom 10%): 1.8 [1.28, 2.55] Age, sex, body mass index, PCs(1-20), history of hypertension, glucose levels
PPM002189 PGS000819
(PRS_DR)
PSS001067|
Multi-ancestry (including European)|
6,079 individuals
PGP000203 |
Forrest IS et al. Hum Mol Genet (2021)
Reported Trait: Diabetic retinopathy in individuals with type 2 diabetes OR: 1.14 [1.05, 1.23] PCs(1-20), type 2 diabetes duration, type 2 diabetes medication, hyperglycemia, elevated HbA1c, hypertension, hypercholesterolemia, hyperlipidemia, insomina, sleep apnea, age, sex, body mass index
PPM002191 PGS000819
(PRS_DR)
PSS001067|
Multi-ancestry (including European)|
6,079 individuals
PGP000203 |
Forrest IS et al. Hum Mol Genet (2021)
Reported Trait: Diplopia in individuals with type 2 diabetes OR: 1.31 [1.02, 1.7]
PPM002192 PGS000819
(PRS_DR)
PSS001067|
Multi-ancestry (including European)|
6,079 individuals
PGP000203 |
Forrest IS et al. Hum Mol Genet (2021)
Reported Trait: Time to diabetic retinopathy diagnosis in individuals with type 2 diabetes HR: 1.13 [1.05, 1.21] Age, sex, body mass index, PCs(1-20), history of hypertension, glucose levels
PPM002240 PGS000832
(T2D-GRS)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.24 [1.16, 1.34] PC1-10
PPM002242 PGS000832
(T2D-GRS)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 1.77 [1.67, 1.88] PC1-10
PPM002239 PGS000832
(T2D-GRS)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.96 [1.81, 2.12] PC1-10
PPM002238 PGS000832
(T2D-GRS)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 1.28 [1.16, 1.42] PC1-10
PPM002241 PGS000832
(T2D-GRS)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.73 [1.61, 1.86] PC1-10
PPM002243 PGS000833
(T1D)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 1.39 [1.25, 1.54] PC1-10
PPM002246 PGS000833
(T1D)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.04 [0.97, 1.11] PC1-10
PPM002247 PGS000833
(T1D)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 1.02 [0.97, 1.07] PC1-10
PPM002244 PGS000833
(T1D)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.01 [0.94, 1.08] PC1-10
PPM002245 PGS000833
(T1D)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.03 [0.96, 1.11] PC1-10
PPM002323 PGS000848
(T2D_Adiposity)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 1.11 [1.0, 1.23] PC1-10
PPM002324 PGS000848
(T2D_Adiposity)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.1 [1.02, 1.18] PC1-10
PPM002325 PGS000848
(T2D_Adiposity)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.11 [1.03, 1.19] PC1-10
PPM002326 PGS000848
(T2D_Adiposity)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.2 [1.12, 1.28] PC1-10
PPM002327 PGS000848
(T2D_Adiposity)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 1.06 [1.0, 1.12] PC1-10
PPM002329 PGS000849
(T2D_Impaired_Lipids)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.07 [1.0, 1.15] PC1-10
PPM002330 PGS000849
(T2D_Impaired_Lipids)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.09 [1.01, 1.17] PC1-10
PPM002331 PGS000849
(T2D_Impaired_Lipids)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.0 [0.93, 1.07] PC1-10
PPM002332 PGS000849
(T2D_Impaired_Lipids)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 1.06 [1.0, 1.12] PC1-10
PPM002328 PGS000849
(T2D_Impaired_Lipids)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 1.08 [0.97, 1.2] PC1-10
PPM002333 PGS000850
(T2D_Insulin_Action)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 1.08 [0.98, 1.2] PC1-10
PPM002334 PGS000850
(T2D_Insulin_Action)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.17 [1.09, 1.25] PC1-10
PPM002335 PGS000850
(T2D_Insulin_Action)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.17 [1.09, 1.26] PC1-10
PPM002337 PGS000850
(T2D_Insulin_Action)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 1.16 [1.1, 1.23] PC1-10
PPM002336 PGS000850
(T2D_Insulin_Action)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.14 [1.07, 1.22] PC1-10
PPM002338 PGS000851
(T2D_Insulin_Action_Secretion)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 1.24 [1.12, 1.37] PC1-10
PPM002339 PGS000851
(T2D_Insulin_Action_Secretion)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.23 [1.15, 1.32] PC1-10
PPM002340 PGS000851
(T2D_Insulin_Action_Secretion)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.04 [0.97, 1.11] PC1-10
PPM002341 PGS000851
(T2D_Insulin_Action_Secretion)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.19 [1.12, 1.28] PC1-10
PPM002342 PGS000851
(T2D_Insulin_Action_Secretion)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 1.19 [1.13, 1.26] PC1-10
PPM002343 PGS000852
(T2D_Insulin_Secretion_1)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 1.01 [0.91, 1.12] PC1-10
PPM002344 PGS000852
(T2D_Insulin_Secretion_1)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.31 [1.22, 1.41] PC1-10
PPM002345 PGS000852
(T2D_Insulin_Secretion_1)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.04 [0.97, 1.12] PC1-10
PPM002347 PGS000852
(T2D_Insulin_Secretion_1)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 1.29 [1.22, 1.37] PC1-10
PPM002346 PGS000852
(T2D_Insulin_Secretion_1)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.26 [1.18, 1.35] PC1-10
PPM002348 PGS000853
(T2D_Insulin_Secretion_2)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 0.99 [0.9, 1.1] PC1-10
PPM002349 PGS000853
(T2D_Insulin_Secretion_2)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.26 [1.18, 1.36] PC1-10
PPM002350 PGS000853
(T2D_Insulin_Secretion_2)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.02 [0.95, 1.09] PC1-10
PPM002351 PGS000853
(T2D_Insulin_Secretion_2)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.18 [1.11, 1.27] PC1-10
PPM002352 PGS000853
(T2D_Insulin_Secretion_2)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 1.23 [1.17, 1.3] PC1-10
PPM002353 PGS000854
(T2D_BetaCell)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 1.0 [0.91, 1.11] PC1-10
PPM002354 PGS000854
(T2D_BetaCell)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.32 [1.23, 1.42] PC1-10
PPM002355 PGS000854
(T2D_BetaCell)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.01 [0.94, 1.08] PC1-10
PPM002357 PGS000854
(T2D_BetaCell)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 1.27 [1.2, 1.34] PC1-10
PPM002356 PGS000854
(T2D_BetaCell)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.21 [1.13, 1.3] PC1-10
PPM002358 PGS000855
(T2D_Lipodystrophy)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 1.12 [1.01, 1.25] PC1-10
PPM002359 PGS000855
(T2D_Lipodystrophy)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.23 [1.15, 1.33] PC1-10
PPM002360 PGS000855
(T2D_Lipodystrophy)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.15 [1.07, 1.24] PC1-10
PPM002361 PGS000855
(T2D_Lipodystrophy)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.14 [1.06, 1.22] PC1-10
PPM002362 PGS000855
(T2D_Lipodystrophy)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 1.18 [1.11, 1.24] PC1-10
PPM002363 PGS000856
(T2D_LiverLipids)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 1.35 [1.22, 1.51] PC1-10
PPM002364 PGS000856
(T2D_LiverLipids)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.01 [0.94, 1.08] PC1-10
PPM002366 PGS000856
(T2D_LiverLipids)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.02 [0.95, 1.09] PC1-10
PPM002367 PGS000856
(T2D_LiverLipids)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 0.95 [0.9, 1.01] PC1-10
PPM002365 PGS000856
(T2D_LiverLipids)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 0.97 [0.91, 1.05] PC1-10
PPM002368 PGS000857
(T2D_Obesity)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 1.07 [0.97, 1.19] PC1-10
PPM002369 PGS000857
(T2D_Obesity)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.08 [1.01, 1.16] PC1-10
PPM002370 PGS000857
(T2D_Obesity)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.13 [1.05, 1.22] PC1-10
PPM002371 PGS000857
(T2D_Obesity)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.19 [1.11, 1.27] PC1-10
PPM002372 PGS000857
(T2D_Obesity)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 1.04 [0.99, 1.1] PC1-10
PPM002373 PGS000858
(T2D_Proinsulin)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 0.94 [0.85, 1.04] PC1-10
PPM002374 PGS000858
(T2D_Proinsulin)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.14 [1.06, 1.22] PC1-10
PPM002376 PGS000858
(T2D_Proinsulin)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.06 [0.99, 1.13] PC1-10
PPM002377 PGS000858
(T2D_Proinsulin)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 1.1 [1.04, 1.16] PC1-10
PPM002375 PGS000858
(T2D_Proinsulin)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 0.93 [0.87, 1.0] PC1-10
PPM002393 PGS000862
(DR)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 0.98 [0.89, 1.08] PC1-10
PPM002395 PGS000862
(DR)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.09 [1.02, 1.17] PC1-10
PPM002397 PGS000862
(DR)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 1.01 [0.96, 1.07] PC1-10
PPM002394 PGS000862
(DR)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.03 [0.96, 1.1] PC1-10
PPM002396 PGS000862
(DR)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.09 [1.02, 1.17] PC1-10
PPM002403 PGS000864
(T2D-gPRS)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 1.42 [1.28, 1.58] PC1-10
PPM002404 PGS000864
(T2D-gPRS)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.93 [1.79, 2.09] PC1-10
PPM002406 PGS000864
(T2D-gPRS)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 2.12 [1.96, 2.29] PC1-10
PPM002407 PGS000864
(T2D-gPRS)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 1.59 [1.5, 1.69] PC1-10
PPM002405 PGS000864
(T2D-gPRS)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.56 [1.45, 1.69] PC1-10
PPM002413 PGS000868
(T2D_221)
PSS001092|
Ancestry Not Reported|
5,740 individuals
PGP000214 |
Aksit MA et al. J Clin Endocrinol Metab (2020)
Reported Trait: Cystic-fibrosis related diabetes HR: 1.285 PCs(1-4), site of recruitment
PPM002414 PGS000869
(T1D_48)
PSS001092|
Ancestry Not Reported|
5,740 individuals
PGP000214 |
Aksit MA et al. J Clin Endocrinol Metab (2020)
Reported Trait: Cystic-fibrosis related diabetes HR: 1.077 PCs(1-4), site of recruitment
PPM002665 PGS000902
(PRS90_PD)
PSS001174|
Multi-ancestry (including European)|
999 individuals
PGP000235 |
Nalls MA et al. Lancet Neurol (2019)
Reported Trait: Parkinson's disease AUROC: 0.651 [0.617, 0.684] PCs(1-5), age, sex Only 88 SNPs from the 90 SNP PRS were utilised. 2 SNPs were not included as they failed to pass quality control in the HBS cohort.
PPM002664 PGS000903
(PRS1805_PD)
PSS001174|
Multi-ancestry (including European)|
999 individuals
PGP000235 |
Nalls MA et al. Lancet Neurol (2019)
Reported Trait: Parkinson's disease β: 0.709 (0.072) AUROC: 0.692 : 0.054
Odds Ratio (OR, top 25% vs bottom 25%): 6.25 [4.26, 9.28]
PCs(1-5), age, sex
PPM012831 PGS000903
(PRS1805_PD)
PSS009572|
European Ancestry|
6,378 individuals
PGP000281 |
Koch S et al. Genes (Basel) (2021)
|Ext.
Reported Trait: Parkinson's disease AUROC: 0.645 [0.63, 0.66] Nagelkerke’s Pseudo-R2: 0.348 sex, age and first three PCs Quality control led to the exclusion of 62 of the original 1805 PD-PRS SNPs
PPM012832 PGS000903
(PRS1805_PD)
PSS009572|
European Ancestry|
6,378 individuals
PGP000281 |
Koch S et al. Genes (Basel) (2021)
|Ext.
Reported Trait: Parkinson's disease prognosis Sensitivity: 0.581 [0.479, 0.625]
Specificity: 0.625 [0.472, 0.725]
Cost of 1: optimal threshold for PD-PRS as determined by maximizing a weighted Youden index = 0.33
PPM012833 PGS000903
(PRS1805_PD)
PSS009572|
European Ancestry|
6,378 individuals
PGP000281 |
Koch S et al. Genes (Basel) (2021)
|Ext.
Reported Trait: Parkinson's disease (age at onset) AUROC: 0.59 [0.551, 0.629] Nagelkerke’s Pseudo-R2: 0.039 sex, age and first three PCs Quality control led to the exclusion of 62 of the original 1805 PD-PRS SNPs
PPM014928 PGS000903
(PRS1805_PD)
PSS009933|
South Asian Ancestry|
90 individuals
PGP000360 |
Kukkle PL et al. Adv Biol (Weinh) (2022)
|Ext.
Reported Trait: Young onset Parkinson’s disease Odds ratio, OR (high vs low risk): 1.92
PPM007448 PGS000924
(GBE_HC702)
PSS004600|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE disorders of porphyrin and bilirubin metabolism AUROC: 0.87825 [0.76546, 0.99105] : 0.13644
Incremental AUROC (full-covars): -0.00608
PGS R2 (no covariates): 0.01768
PGS AUROC (no covariates): 0.66722 [0.47474, 0.85969]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007449 PGS000924
(GBE_HC702)
PSS004602|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE disorders of porphyrin and bilirubin metabolism AUROC: 0.89799 [0.85782, 0.93815] : 0.23107
Incremental AUROC (full-covars): 0.18304
PGS R2 (no covariates): 0.18886
PGS AUROC (no covariates): 0.85948 [0.81228, 0.90668]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007450 PGS000924
(GBE_HC702)
PSS004603|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE disorders of porphyrin and bilirubin metabolism AUROC: 0.85394 [0.77864, 0.92924] : 0.15917
Incremental AUROC (full-covars): 0.14922
PGS R2 (no covariates): 0.11194
PGS AUROC (no covariates): 0.81401 [0.72659, 0.90144]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007451 PGS000924
(GBE_HC702)
PSS004604|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE disorders of porphyrin and bilirubin metabolism AUROC: 0.90591 [0.88325, 0.92858] : 0.23709
Incremental AUROC (full-covars): 0.28213
PGS R2 (no covariates): 0.21843
PGS AUROC (no covariates): 0.88697 [0.86397, 0.90997]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007878 PGS001023
(GBE_HC703)
PSS004605|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE disorders of mineral metabolism AUROC: 0.70572 [0.64003, 0.77141] : 0.04772
Incremental AUROC (full-covars): -0.00243
PGS R2 (no covariates): 0.00257
PGS AUROC (no covariates): 0.49279 [0.49133, 0.49424]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007879 PGS001023
(GBE_HC703)
PSS004606|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE disorders of mineral metabolism AUROC: 0.72332 [0.56417, 0.88247] Incremental AUROC (full-covars): 0.0
: 0.06686
PGS R2 (no covariates): 0.00038
PGS AUROC (no covariates): 0.49882 [0.49767, 0.49998]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007880 PGS001023
(GBE_HC703)
PSS004607|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE disorders of mineral metabolism AUROC: 0.70459 [0.66766, 0.74152] : 0.07164
Incremental AUROC (full-covars): 0.05404
PGS R2 (no covariates): 0.07064
PGS AUROC (no covariates): 0.63902 [0.6046, 0.67344]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007881 PGS001023
(GBE_HC703)
PSS004608|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE disorders of mineral metabolism AUROC: 0.60481 [0.54255, 0.66706] : 0.01967
Incremental AUROC (full-covars): -0.00045
PGS R2 (no covariates): 0.00194
PGS AUROC (no covariates): 0.50905 [0.4878, 0.5303]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007882 PGS001023
(GBE_HC703)
PSS004609|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE disorders of mineral metabolism AUROC: 0.65351 [0.63175, 0.67527] : 0.03407
Incremental AUROC (full-covars): 0.05096
PGS R2 (no covariates): 0.02793
PGS AUROC (no covariates): 0.57843 [0.55918, 0.59767]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008749 PGS001248
(GBE_HC328)
PSS004452|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Gout AUROC: 0.8285 [0.79138, 0.86562] : 0.15624
Incremental AUROC (full-covars): 0.01741
PGS R2 (no covariates): 0.02051
PGS AUROC (no covariates): 0.62118 [0.56505, 0.67731]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008750 PGS001248
(GBE_HC328)
PSS004453|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Gout AUROC: 0.84973 [0.79458, 0.90489] : 0.22864
Incremental AUROC (full-covars): 0.02603
PGS R2 (no covariates): 0.04315
PGS AUROC (no covariates): 0.65938 [0.56975, 0.74901]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008751 PGS001248
(GBE_HC328)
PSS004454|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Gout AUROC: 0.83619 [0.82126, 0.85113] : 0.17414
Incremental AUROC (full-covars): 0.02904
PGS R2 (no covariates): 0.03561
PGS AUROC (no covariates): 0.66092 [0.63744, 0.6844]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008752 PGS001248
(GBE_HC328)
PSS004455|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Gout AUROC: 0.77913 [0.74649, 0.81177] : 0.11671
Incremental AUROC (full-covars): 0.03258
PGS R2 (no covariates): 0.0283
PGS AUROC (no covariates): 0.63533 [0.59256, 0.6781]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008753 PGS001248
(GBE_HC328)
PSS004456|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Gout AUROC: 0.81572 [0.80628, 0.82516] Incremental AUROC (full-covars): 0.04061
PGS R2 (no covariates): 0.04014
: 0.15436
PGS AUROC (no covariates): 0.66908 [0.65556, 0.6826]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008754 PGS001249
(GBE_HC1215)
PSS004203|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE gout AUROC: 0.77537 [0.73576, 0.81498] : 0.12063
Incremental AUROC (full-covars): 0.01433
PGS R2 (no covariates): 0.01201
PGS AUROC (no covariates): 0.58952 [0.54447, 0.63458]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008755 PGS001249
(GBE_HC1215)
PSS004204|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE gout AUROC: 0.8503 [0.79897, 0.90164] : 0.23863
Incremental AUROC (full-covars): 0.01971
PGS R2 (no covariates): 0.02733
PGS AUROC (no covariates): 0.62617 [0.54055, 0.7118]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008756 PGS001249
(GBE_HC1215)
PSS004205|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE gout AUROC: 0.81772 [0.80388, 0.83156] : 0.17135
Incremental AUROC (full-covars): 0.02929
PGS R2 (no covariates): 0.03724
PGS AUROC (no covariates): 0.65807 [0.63913, 0.67702]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008757 PGS001249
(GBE_HC1215)
PSS004206|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE gout AUROC: 0.76492 [0.73884, 0.79099] PGS AUROC (no covariates): 0.61344 [0.57941, 0.64746]
: 0.11928
Incremental AUROC (full-covars): 0.02377
PGS R2 (no covariates): 0.02209
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008758 PGS001249
(GBE_HC1215)
PSS004207|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE gout AUROC: 0.79258 [0.7842, 0.80095] : 0.14867
Incremental AUROC (full-covars): 0.03784
PGS R2 (no covariates): 0.03919
PGS AUROC (no covariates): 0.65389 [0.64293, 0.66484]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008968 PGS001294
(GBE_HC649)
PSS004575|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE non-insulin-dependent diabetes mellitus AUROC: 0.70052 [0.68094, 0.7201] : 0.10493
Incremental AUROC (full-covars): 0.00213
PGS R2 (no covariates): 0.00615
PGS AUROC (no covariates): 0.54526 [0.52378, 0.56673]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008969 PGS001294
(GBE_HC649)
PSS004576|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE non-insulin-dependent diabetes mellitus AUROC: 0.75536 [0.71488, 0.79584] : 0.1242
Incremental AUROC (full-covars): 0.01544
PGS R2 (no covariates): 0.01604
PGS AUROC (no covariates): 0.5808 [0.52621, 0.63538]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008970 PGS001294
(GBE_HC649)
PSS004577|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE non-insulin-dependent diabetes mellitus AUROC: 0.72888 [0.71557, 0.7422] : 0.10344
Incremental AUROC (full-covars): 0.03534
PGS R2 (no covariates): 0.03413
PGS AUROC (no covariates): 0.63582 [0.62119, 0.65045]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008971 PGS001294
(GBE_HC649)
PSS004578|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE non-insulin-dependent diabetes mellitus AUROC: 0.68707 [0.67293, 0.70121] : 0.11343
Incremental AUROC (full-covars): 0.01724
PGS R2 (no covariates): 0.02384
PGS AUROC (no covariates): 0.58532 [0.56986, 0.60078]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008972 PGS001294
(GBE_HC649)
PSS004579|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE non-insulin-dependent diabetes mellitus AUROC: 0.71038 [0.70256, 0.71821] : 0.08854
Incremental AUROC (full-covars): 0.04133
PGS R2 (no covariates): 0.03493
PGS AUROC (no covariates): 0.63323 [0.62453, 0.64194]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008973 PGS001295
(GBE_HC165)
PSS004312|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Type 2 diabetes AUROC: 0.68145 [0.62426, 0.73864] : 0.04466
Incremental AUROC (full-covars): 0.00427
PGS R2 (no covariates): 0.00162
PGS AUROC (no covariates): 0.5359 [0.47698, 0.59482]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008974 PGS001295
(GBE_HC165)
PSS004313|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Type 2 diabetes AUROC: 0.83509 [0.71831, 0.95186] : 0.20575
Incremental AUROC (full-covars): -0.00085
PGS R2 (no covariates): 0.00265
PGS AUROC (no covariates): 0.56328 [0.47919, 0.64736]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008975 PGS001295
(GBE_HC165)
PSS004314|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Type 2 diabetes AUROC: 0.69318 [0.65625, 0.73011] : 0.04603
Incremental AUROC (full-covars): 0.0115
PGS R2 (no covariates): 0.00675
PGS AUROC (no covariates): 0.58258 [0.54116, 0.62401]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008976 PGS001295
(GBE_HC165)
PSS004315|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Type 2 diabetes AUROC: 0.65806 [0.61856, 0.69756] : 0.0392
Incremental AUROC (full-covars): 0.01243
PGS R2 (no covariates): 0.00618
PGS AUROC (no covariates): 0.5613 [0.5184, 0.60421]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008977 PGS001295
(GBE_HC165)
PSS004316|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Type 2 diabetes AUROC: 0.68247 [0.66155, 0.70338] : 0.03772
Incremental AUROC (full-covars): 0.01405
PGS R2 (no covariates): 0.00633
PGS AUROC (no covariates): 0.57592 [0.55208, 0.59975]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008978 PGS001296
(GBE_HC648)
PSS004570|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE insulin-dependent diabetes mellitus AUROC: 0.66885 [0.62172, 0.71599] : 0.04054
Incremental AUROC (full-covars): -0.01128
PGS R2 (no covariates): 0.00021
PGS AUROC (no covariates): 0.51906 [0.4689, 0.56923]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008979 PGS001296
(GBE_HC648)
PSS004571|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE insulin-dependent diabetes mellitus AUROC: 0.89264 [0.80447, 0.98081] : 0.19006
Incremental AUROC (full-covars): -0.01413
PGS R2 (no covariates): 0.00422
PGS AUROC (no covariates): 0.43531 [0.15162, 0.71901]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008980 PGS001296
(GBE_HC648)
PSS004572|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE insulin-dependent diabetes mellitus AUROC: 0.70536 [0.66494, 0.74577] : 0.0607
Incremental AUROC (full-covars): 0.12077
PGS R2 (no covariates): 0.05496
PGS AUROC (no covariates): 0.68941 [0.64672, 0.73209]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008981 PGS001296
(GBE_HC648)
PSS004573|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE insulin-dependent diabetes mellitus AUROC: 0.67679 [0.6379, 0.71568] : 0.04266
Incremental AUROC (full-covars): -0.01593
PGS R2 (no covariates): 0.0016
PGS AUROC (no covariates): 0.54249 [0.49552, 0.58946]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008982 PGS001296
(GBE_HC648)
PSS004574|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE insulin-dependent diabetes mellitus AUROC: 0.65986 [0.63673, 0.68299] : 0.03385
Incremental AUROC (full-covars): 0.06785
PGS R2 (no covariates): 0.02496
PGS AUROC (no covariates): 0.62694 [0.60131, 0.65256]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008983 PGS001297
(GBE_HC337)
PSS004457|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Type 1 diabetes AUROC: 0.78146 [0.64554, 0.91738] : 0.08635
Incremental AUROC (full-covars): -0.05504
PGS R2 (no covariates): 0.00185
PGS AUROC (no covariates): 0.41884 [0.19064, 0.64704]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008984 PGS001297
(GBE_HC337)
PSS004458|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Type 1 diabetes AUROC: 0.79737 [0.708, 0.88674] : 0.11683
Incremental AUROC (full-covars): 0.09636
PGS R2 (no covariates): 0.0912
PGS AUROC (no covariates): 0.77118 [0.67108, 0.87128]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008985 PGS001297
(GBE_HC337)
PSS004459|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Type 1 diabetes AUROC: 0.81031 [0.66359, 0.95703] : 0.06825
Incremental AUROC (full-covars): -0.01908
PGS R2 (no covariates): 6e-05
PGS AUROC (no covariates): 0.53853 [0.37761, 0.69945]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008986 PGS001297
(GBE_HC337)
PSS004460|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Type 1 diabetes AUROC: 0.7643 [0.7041, 0.8245] : 0.06625
Incremental AUROC (full-covars): 0.19149
PGS R2 (no covariates): 0.06103
PGS AUROC (no covariates): 0.76543 [0.70744, 0.82342]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008987 PGS001298
(GBE_HC689)
PSS004590|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE obesity AUROC: 0.631 [0.60757, 0.65443] : 0.03591
Incremental AUROC (full-covars): -0.00374
PGS R2 (no covariates): 0.00346
PGS AUROC (no covariates): 0.54117 [0.51549, 0.56685]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008988 PGS001298
(GBE_HC689)
PSS004591|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE obesity AUROC: 0.65328 [0.53612, 0.77044] : 0.04232
Incremental AUROC (full-covars): -0.00574
PGS R2 (no covariates): 0.00287
PGS AUROC (no covariates): 0.54699 [0.43971, 0.65426]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008989 PGS001298
(GBE_HC689)
PSS004592|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE obesity AUROC: 0.59854 [0.58297, 0.61411] : 0.01902
Incremental AUROC (full-covars): 0.02082
PGS R2 (no covariates): 0.00911
PGS AUROC (no covariates): 0.56858 [0.5529, 0.58426]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008990 PGS001298
(GBE_HC689)
PSS004593|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE obesity AUROC: 0.61415 [0.59079, 0.6375] : 0.02737
Incremental AUROC (full-covars): 0.00377
PGS R2 (no covariates): 0.00603
PGS AUROC (no covariates): 0.55658 [0.53218, 0.58097]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008991 PGS001298
(GBE_HC689)
PSS004594|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE obesity AUROC: 0.59555 [0.58697, 0.60413] : 0.01814
Incremental AUROC (full-covars): 0.03355
PGS R2 (no covariates): 0.01146
PGS AUROC (no covariates): 0.57573 [0.56713, 0.58434]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009020 PGS001305
(GBE_HC608)
PSS004536|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE vitamin b12 deficiency anaemia AUROC: 0.66063 [0.54547, 0.77579] : 0.02699
Incremental AUROC (full-covars): 0.01762
PGS R2 (no covariates): 0.00536
PGS AUROC (no covariates): 0.5839 [0.43974, 0.72805]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009021 PGS001305
(GBE_HC608)
PSS004538|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE vitamin b12 deficiency anaemia AUROC: 0.65118 [0.60827, 0.69409] : 0.02729
Incremental AUROC (full-covars): 0.02555
PGS R2 (no covariates): 0.00865
PGS AUROC (no covariates): 0.59612 [0.5552, 0.63704]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009022 PGS001305
(GBE_HC608)
PSS004539|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE vitamin b12 deficiency anaemia AUROC: 0.72387 [0.6834, 0.76434] : 0.06747
Incremental AUROC (full-covars): 0.01252
PGS R2 (no covariates): 0.00966
PGS AUROC (no covariates): 0.57469 [0.52685, 0.62252]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009023 PGS001305
(GBE_HC608)
PSS004540|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE vitamin b12 deficiency anaemia AUROC: 0.64482 [0.61972, 0.66993] : 0.02374
Incremental AUROC (full-covars): 0.02212
PGS R2 (no covariates): 0.0068
PGS AUROC (no covariates): 0.57972 [0.55331, 0.60612]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009083 PGS001318
(GBE_HC700)
PSS004595|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE disorders of lipoprotein metabolism and other lipidaemias AUROC: 0.72671 [0.71075, 0.74267] : 0.1504
Incremental AUROC (full-covars): 0.008
PGS R2 (no covariates): 0.01331
PGS AUROC (no covariates): 0.5658 [0.54786, 0.58375]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009084 PGS001318
(GBE_HC700)
PSS004596|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE disorders of lipoprotein metabolism and other lipidaemias AUROC: 0.72108 [0.68694, 0.75523] : 0.12667
Incremental AUROC (full-covars): 0.00638
PGS R2 (no covariates): 0.01352
PGS AUROC (no covariates): 0.56443 [0.52596, 0.6029]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009085 PGS001318
(GBE_HC700)
PSS004597|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE disorders of lipoprotein metabolism and other lipidaemias AUROC: 0.74382 [0.73637, 0.75127] : 0.17729
Incremental AUROC (full-covars): 0.02969
PGS R2 (no covariates): 0.04099
PGS AUROC (no covariates): 0.61613 [0.60728, 0.62497]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009086 PGS001318
(GBE_HC700)
PSS004598|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE disorders of lipoprotein metabolism and other lipidaemias AUROC: 0.7175 [0.70581, 0.7292] : 0.17483
Incremental AUROC (full-covars): 0.01739
PGS R2 (no covariates): 0.02931
PGS AUROC (no covariates): 0.5892 [0.57589, 0.60251]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009087 PGS001318
(GBE_HC700)
PSS004599|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE disorders of lipoprotein metabolism and other lipidaemias AUROC: 0.73453 [0.73009, 0.73896] : 0.17195
Incremental AUROC (full-covars): 0.03242
PGS R2 (no covariates): 0.04352
PGS AUROC (no covariates): 0.61734 [0.61215, 0.62253]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009088 PGS001319
(GBE_HC708)
PSS004610|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE other metabolic disorders AUROC: 0.77406 [0.68678, 0.86135] : 0.06649
Incremental AUROC (full-covars): -0.00199
PGS R2 (no covariates): 0.00603
PGS AUROC (no covariates): 0.44259 [0.3516, 0.53358]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009089 PGS001319
(GBE_HC708)
PSS004611|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE other metabolic disorders AUROC: 0.70958 [0.62744, 0.79171] : 0.04504
Incremental AUROC (full-covars): 0.02495
PGS R2 (no covariates): 0.01479
PGS AUROC (no covariates): 0.54987 [0.46099, 0.63876]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009090 PGS001319
(GBE_HC708)
PSS004612|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE other metabolic disorders AUROC: 0.64684 [0.54842, 0.74526] : 0.02913
Incremental AUROC (full-covars): -0.00029
PGS R2 (no covariates): 0.00067
PGS AUROC (no covariates): 0.52382 [0.42834, 0.61931]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009091 PGS001319
(GBE_HC708)
PSS004613|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE other metabolic disorders AUROC: 0.60186 [0.54294, 0.66079] : 0.02952
Incremental AUROC (full-covars): 0.09428
PGS R2 (no covariates): 0.05151
PGS AUROC (no covariates): 0.62356 [0.56795, 0.67918]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009122 PGS001327
(GBE_HC221)
PSS004359|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Diabetes AUROC: 0.68586 [0.66802, 0.7037] : 0.09776
Incremental AUROC (full-covars): 0.00638
PGS R2 (no covariates): 0.00926
PGS AUROC (no covariates): 0.55541 [0.53643, 0.5744]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009123 PGS001327
(GBE_HC221)
PSS004360|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Diabetes AUROC: 0.69569 [0.64958, 0.7418] : 0.08294
Incremental AUROC (full-covars): 0.01187
PGS R2 (no covariates): 0.01141
PGS AUROC (no covariates): 0.56178 [0.51127, 0.61228]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009124 PGS001327
(GBE_HC221)
PSS004361|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Diabetes AUROC: 0.70541 [0.69227, 0.71854] : 0.08595
Incremental AUROC (full-covars): 0.04263
PGS R2 (no covariates): 0.03446
PGS AUROC (no covariates): 0.63125 [0.61738, 0.64511]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009125 PGS001327
(GBE_HC221)
PSS004362|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Diabetes AUROC: 0.68746 [0.67395, 0.70097] : 0.11895
Incremental AUROC (full-covars): 0.02618
PGS R2 (no covariates): 0.03527
PGS AUROC (no covariates): 0.60108 [0.5865, 0.61565]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009126 PGS001327
(GBE_HC221)
PSS004363|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Diabetes AUROC: 0.69818 [0.69047, 0.70589] : 0.08111
Incremental AUROC (full-covars): 0.04455
PGS R2 (no covariates): 0.03558
PGS AUROC (no covariates): 0.63112 [0.6228, 0.63945]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009132 PGS001329
(GBE_HC652)
PSS004580|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE unspecified diabetes mellitus AUROC: 0.69503 [0.67407, 0.716] : 0.08972
Incremental AUROC (full-covars): 0.00332
PGS R2 (no covariates): 0.00713
PGS AUROC (no covariates): 0.55713 [0.53377, 0.58048]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009133 PGS001329
(GBE_HC652)
PSS004581|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE unspecified diabetes mellitus AUROC: 0.70891 [0.65305, 0.76477] : 0.09058
Incremental AUROC (full-covars): 0.02211
PGS R2 (no covariates): 0.02321
PGS AUROC (no covariates): 0.60847 [0.55016, 0.66678]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009134 PGS001329
(GBE_HC652)
PSS004582|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE unspecified diabetes mellitus AUROC: 0.72437 [0.70887, 0.73987] : 0.08424
Incremental AUROC (full-covars): 0.03715
PGS R2 (no covariates): 0.02619
PGS AUROC (no covariates): 0.62743 [0.60999, 0.64487]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009135 PGS001329
(GBE_HC652)
PSS004583|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE unspecified diabetes mellitus AUROC: 0.70359 [0.68854, 0.71865] : 0.11885
Incremental AUROC (full-covars): 0.02262
PGS R2 (no covariates): 0.02671
PGS AUROC (no covariates): 0.59807 [0.58121, 0.61493]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009136 PGS001329
(GBE_HC652)
PSS004584|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE unspecified diabetes mellitus AUROC: 0.7046 [0.69521, 0.71399] : 0.0749
Incremental AUROC (full-covars): 0.04078
PGS R2 (no covariates): 0.03024
PGS AUROC (no covariates): 0.63102 [0.62084, 0.64119]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM005177 PGS001353
(PRS6_PD)
PSS003601|
Additional Asian Ancestries|
25,646 individuals
PGP000250 |
Sia MW et al. Mov Disord (2021)
Reported Trait: Parkinson's disease C-index: 0.63 [0.6, 0.66] Hazard Ratio (HR, top 33.3% vs bottom 33.3%): 1.81 [1.37, 2.39]
Hazard Ratio (HR, top 33.3% vs middle 33.3%): 1.35 [1.0, 1.83]
Age of recruitment, year of interview (1993–1995, 1996–1998), dialect group (Cantonese, Hokkien), level of education (no formal education, primary school, secondary school or higher), body mass index (<20, 20–<24, 24–<28, 28+ kg/m2)
PPM005189 PGS001357
(T2D_AnnoPred_PRS)
PSS003606|
European Ancestry|
178,138 individuals
PGP000252 |
Ye Y et al. Circ Genom Precis Med (2021)
Reported Trait: Type 2 diabetes AUROC: 0.6446 Age, sex, PCs(1-10)
PPM007030 PGS001371
(GBE_INI2976)
PSS006886|
African Ancestry|
673 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Age diabetes diagnosed : 0.28398 [0.26544, 0.30253]
Incremental R2 (full-covars): -0.00362
PGS R2 (no covariates): 0.00112 [-0.0005, 0.00275]
age, sex, UKB array type, Genotype PCs
PPM007031 PGS001371
(GBE_INI2976)
PSS006887|
East Asian Ancestry|
86 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Age diabetes diagnosed : 0.31131 [0.27489, 0.34772]
Incremental R2 (full-covars): 0.00576
PGS R2 (no covariates): 0.00203 [-0.00223, 0.00629]
age, sex, UKB array type, Genotype PCs
PPM007032 PGS001371
(GBE_INI2976)
PSS006888|
European Ancestry|
1,059 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Age diabetes diagnosed : 0.37828 [0.36879, 0.38778]
Incremental R2 (full-covars): 0.02371
PGS R2 (no covariates): 0.04728 [0.04214, 0.05243]
age, sex, UKB array type, Genotype PCs
PPM007033 PGS001371
(GBE_INI2976)
PSS006889|
South Asian Ancestry|
1,335 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Age diabetes diagnosed : 0.20384 [0.18792, 0.21975]
Incremental R2 (full-covars): -0.00895
PGS R2 (no covariates): 0.00042 [-0.00049, 0.00133]
age, sex, UKB array type, Genotype PCs
PPM007034 PGS001371
(GBE_INI2976)
PSS006890|
European Ancestry|
3,195 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Age diabetes diagnosed : 0.28031 [0.27455, 0.28606]
Incremental R2 (full-covars): 0.02294
PGS R2 (no covariates): 0.03923 [0.03636, 0.0421]
age, sex, UKB array type, Genotype PCs
PPM009233 PGS001774
(PRS12_PD)
PSS007662|
European Ancestry|
699 individuals
PGP000254 |
Chairta PP et al. Genes (Basel) (2021)
Reported Trait: Parkinson's disease OR: 1.39 [1.06, 1.84] AUROC: 0.55 Prior to imputation of missing data
PPM009234 PGS001774
(PRS12_PD)
PSS007662|
European Ancestry|
699 individuals
PGP000254 |
Chairta PP et al. Genes (Basel) (2021)
Reported Trait: Parkinson's disease AUROC: 0.79 [0.75, 0.83] Age, gender, head injury, family history of Parkinson's disease, depression, smoking (current or ever), body mass index Prior to imputation of missing data
PPM009235 PGS001774
(PRS12_PD)
PSS007662|
European Ancestry|
699 individuals
PGP000254 |
Chairta PP et al. Genes (Basel) (2021)
Reported Trait: Parkinson's disease OR: 1.39 [1.06, 1.83] AUROC: 0.55 Following imputation of missing data
PPM009236 PGS001774
(PRS12_PD)
PSS007662|
European Ancestry|
699 individuals
PGP000254 |
Chairta PP et al. Genes (Basel) (2021)
Reported Trait: Parkinson's disease AUROC: 0.8 [0.77, 0.84] Age, gender, head injury, family history of Parkinson's disease, depression, smoking (current or ever), body mass index Following imputation of missing data
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
PPM009309 PGS001789
(1kgeur_gbmi_leaveUKBBout_Gout_pst_eff_a1_b0.5_phiauto)
PSS007699|
African Ancestry|
6,206 individuals
PGP000262 |
Wang Y et al. medRxiv (2021)
|Pre
Reported Trait: Gout AUROC: 0.805 Nagelkerke's R2 (covariates regressed out): 0.01073 sex,age,age2,age*sex,age^2*sex, 20PCs
PPM009293 PGS001789
(1kgeur_gbmi_leaveUKBBout_Gout_pst_eff_a1_b0.5_phiauto)
PSS007712|
European Ancestry|
359,345 individuals
PGP000262 |
Wang Y et al. medRxiv (2021)
|Pre
Reported Trait: Gout AUROC: 0.807 Nagelkerke's R2 (covariates regressed out): 0.03121 sex,age,age2,age*sex,age^2*sex, 20PCs
PPM009304 PGS001789
(1kgeur_gbmi_leaveUKBBout_Gout_pst_eff_a1_b0.5_phiauto)
PSS007703|
Additional Asian Ancestries|
8,184 individuals
PGP000262 |
Wang Y et al. medRxiv (2021)
|Pre
Reported Trait: Gout AUROC: 0.78 Nagelkerke's R2 (covariates regressed out): 0.00748 sex,age,age2,age*sex,age^2*sex, 20PCs
PPM009436 PGS001817
(portability-PLR_250.1)
PSS009287|
European Ancestry|
18,975 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 1 diabetes Partial Correlation (partial-r): 0.0752 [0.061, 0.0893] sex, age, birth date, deprivation index, 16 PCs
PPM009437 PGS001817
(portability-PLR_250.1)
PSS009061|
European Ancestry|
3,954 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 1 diabetes Partial Correlation (partial-r): 0.0684 [0.0372, 0.0994] sex, age, birth date, deprivation index, 16 PCs
PPM009438 PGS001817
(portability-PLR_250.1)
PSS008615|
European Ancestry|
6,300 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 1 diabetes Partial Correlation (partial-r): 0.0739 [0.0493, 0.0985] sex, age, birth date, deprivation index, 16 PCs
PPM009439 PGS001817
(portability-PLR_250.1)
PSS008391|
Greater Middle Eastern Ancestry|
1,107 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 1 diabetes Partial Correlation (partial-r): 0.0349 [-0.0246, 0.0941] sex, age, birth date, deprivation index, 16 PCs
PPM009440 PGS001817
(portability-PLR_250.1)
PSS008169|
South Asian Ancestry|
5,228 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 1 diabetes Partial Correlation (partial-r): 0.0224 [-0.0047, 0.0496] sex, age, birth date, deprivation index, 16 PCs
PPM009441 PGS001817
(portability-PLR_250.1)
PSS007956|
East Asian Ancestry|
1,729 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 1 diabetes Partial Correlation (partial-r): -0.0001 [-0.0475, 0.0474] sex, age, birth date, deprivation index, 16 PCs
PPM009442 PGS001817
(portability-PLR_250.1)
PSS007737|
African Ancestry|
2,200 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 1 diabetes Partial Correlation (partial-r): -0.0006 [-0.0426, 0.0414] sex, age, birth date, deprivation index, 16 PCs
PPM009443 PGS001817
(portability-PLR_250.1)
PSS008840|
African Ancestry|
3,490 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 1 diabetes Partial Correlation (partial-r): -0.0187 [-0.052, 0.0146] sex, age, birth date, deprivation index, 16 PCs
PPM009444 PGS001818
(portability-PLR_250.2)
PSS009288|
European Ancestry|
19,931 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 2 diabetes Partial Correlation (partial-r): 0.1246 [0.1109, 0.1382] sex, age, birth date, deprivation index, 16 PCs
PPM009445 PGS001818
(portability-PLR_250.2)
PSS009062|
European Ancestry|
4,121 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 2 diabetes Partial Correlation (partial-r): 0.0862 [0.0557, 0.1165] sex, age, birth date, deprivation index, 16 PCs
PPM009447 PGS001818
(portability-PLR_250.2)
PSS008392|
Greater Middle Eastern Ancestry|
1,197 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 2 diabetes Partial Correlation (partial-r): 0.1735 [0.1176, 0.2284] sex, age, birth date, deprivation index, 16 PCs
PPM009448 PGS001818
(portability-PLR_250.2)
PSS008170|
South Asian Ancestry|
6,312 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 2 diabetes Partial Correlation (partial-r): 0.1556 [0.1314, 0.1796] sex, age, birth date, deprivation index, 16 PCs
PPM009449 PGS001818
(portability-PLR_250.2)
PSS007957|
East Asian Ancestry|
1,808 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 2 diabetes Partial Correlation (partial-r): 0.0665 [0.0202, 0.1125] sex, age, birth date, deprivation index, 16 PCs
PPM009450 PGS001818
(portability-PLR_250.2)
PSS007738|
African Ancestry|
2,476 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 2 diabetes Partial Correlation (partial-r): 0.0956 [0.0562, 0.1346] sex, age, birth date, deprivation index, 16 PCs
PPM009451 PGS001818
(portability-PLR_250.2)
PSS008841|
African Ancestry|
3,896 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 2 diabetes Partial Correlation (partial-r): 0.0522 [0.0208, 0.0836] sex, age, birth date, deprivation index, 16 PCs
PPM009446 PGS001818
(portability-PLR_250.2)
PSS008616|
European Ancestry|
6,646 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 2 diabetes Partial Correlation (partial-r): 0.108 [0.0842, 0.1317] sex, age, birth date, deprivation index, 16 PCs
PPM009452 PGS001819
(portability-PLR_250.7)
PSS009289|
European Ancestry|
19,330 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Diabetic retinopathy Partial Correlation (partial-r): 0.0366 [0.0226, 0.0507] sex, age, birth date, deprivation index, 16 PCs
PPM009453 PGS001819
(portability-PLR_250.7)
PSS009063|
European Ancestry|
4,032 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Diabetic retinopathy Partial Correlation (partial-r): 0.0638 [0.033, 0.0946] sex, age, birth date, deprivation index, 16 PCs
PPM009454 PGS001819
(portability-PLR_250.7)
PSS008617|
European Ancestry|
6,465 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Diabetic retinopathy Partial Correlation (partial-r): 0.0315 [0.0071, 0.0559] sex, age, birth date, deprivation index, 16 PCs
PPM009455 PGS001819
(portability-PLR_250.7)
PSS008393|
Greater Middle Eastern Ancestry|
1,162 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Diabetic retinopathy Partial Correlation (partial-r): -0.0471 [-0.1048, 0.011] sex, age, birth date, deprivation index, 16 PCs
PPM009456 PGS001819
(portability-PLR_250.7)
PSS008171|
South Asian Ancestry|
6,081 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Diabetic retinopathy Partial Correlation (partial-r): 0.0325 [0.0074, 0.0577] sex, age, birth date, deprivation index, 16 PCs
PPM009457 PGS001819
(portability-PLR_250.7)
PSS007958|
East Asian Ancestry|
1,764 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Diabetic retinopathy Partial Correlation (partial-r): -0.0249 [-0.0718, 0.022] sex, age, birth date, deprivation index, 16 PCs
PPM009459 PGS001819
(portability-PLR_250.7)
PSS008842|
African Ancestry|
3,732 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Diabetic retinopathy Partial Correlation (partial-r): 0.0089 [-0.0233, 0.041] sex, age, birth date, deprivation index, 16 PCs
PPM009458 PGS001819
(portability-PLR_250.7)
PSS007739|
African Ancestry|
2,385 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Diabetic retinopathy Partial Correlation (partial-r): -0.0193 [-0.0596, 0.021] sex, age, birth date, deprivation index, 16 PCs
PPM009476 PGS001822
(portability-PLR_274.1)
PSS009292|
European Ancestry|
19,983 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Gout Partial Correlation (partial-r): 0.0364 [0.0226, 0.0503] sex, age, birth date, deprivation index, 16 PCs
PPM009477 PGS001822
(portability-PLR_274.1)
PSS009066|
European Ancestry|
4,135 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Gout Partial Correlation (partial-r): 0.043 [0.0125, 0.0735] sex, age, birth date, deprivation index, 16 PCs
PPM009478 PGS001822
(portability-PLR_274.1)
PSS008620|
European Ancestry|
6,655 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Gout Partial Correlation (partial-r): 0.0538 [0.0297, 0.0777] sex, age, birth date, deprivation index, 16 PCs
PPM009479 PGS001822
(portability-PLR_274.1)
PSS008396|
Greater Middle Eastern Ancestry|
1,200 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Gout Partial Correlation (partial-r): 0.0122 [-0.0449, 0.0692] sex, age, birth date, deprivation index, 16 PCs
PPM009480 PGS001822
(portability-PLR_274.1)
PSS008174|
South Asian Ancestry|
6,325 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Gout Partial Correlation (partial-r): 0.0166 [-0.008, 0.0413] sex, age, birth date, deprivation index, 16 PCs
PPM009481 PGS001822
(portability-PLR_274.1)
PSS007961|
East Asian Ancestry|
1,810 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Gout Partial Correlation (partial-r): 0.0287 [-0.0176, 0.075] sex, age, birth date, deprivation index, 16 PCs
PPM009482 PGS001822
(portability-PLR_274.1)
PSS007742|
African Ancestry|
2,480 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Gout Partial Correlation (partial-r): 0.0314 [-0.0082, 0.0708] sex, age, birth date, deprivation index, 16 PCs
PPM009483 PGS001822
(portability-PLR_274.1)
PSS008845|
African Ancestry|
3,918 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Gout Partial Correlation (partial-r): 0.0294 [-0.002, 0.0607] sex, age, birth date, deprivation index, 16 PCs
PPM009484 PGS001823
(portability-PLR_275.1)
PSS009293|
European Ancestry|
19,883 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Disorders of iron metabolism Partial Correlation (partial-r): 0.1307 [0.117, 0.1444] sex, age, birth date, deprivation index, 16 PCs
PPM009485 PGS001823
(portability-PLR_275.1)
PSS009067|
European Ancestry|
4,105 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Disorders of iron metabolism Partial Correlation (partial-r): 0.109 [0.0786, 0.1392] sex, age, birth date, deprivation index, 16 PCs
PPM009486 PGS001823
(portability-PLR_275.1)
PSS008621|
European Ancestry|
6,637 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Disorders of iron metabolism Partial Correlation (partial-r): 0.0178 [-0.0063, 0.0419] sex, age, birth date, deprivation index, 16 PCs
PPM009487 PGS001823
(portability-PLR_275.1)
PSS008175|
South Asian Ancestry|
6,298 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Disorders of iron metabolism Partial Correlation (partial-r): 0.0003 [-0.0244, 0.025] sex, age, birth date, deprivation index, 16 PCs
PPM009489 PGS001823
(portability-PLR_275.1)
PSS008846|
African Ancestry|
3,903 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Disorders of iron metabolism Partial Correlation (partial-r): 0.0193 [-0.0121, 0.0507] sex, age, birth date, deprivation index, 16 PCs
PPM009488 PGS001823
(portability-PLR_275.1)
PSS007962|
East Asian Ancestry|
1,809 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Disorders of iron metabolism Partial Correlation (partial-r): 0.0117 [-0.0346, 0.058] sex, age, birth date, deprivation index, 16 PCs
PPM009490 PGS001824
(portability-PLR_277.4)
PSS009294|
European Ancestry|
19,924 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Disorders of bilirubin excretion Partial Correlation (partial-r): 0.0716 [0.0577, 0.0854] sex, age, birth date, deprivation index, 16 PCs
PPM009491 PGS001824
(portability-PLR_277.4)
PSS009068|
European Ancestry|
4,126 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Disorders of bilirubin excretion Partial Correlation (partial-r): 0.0565 [0.026, 0.087] sex, age, birth date, deprivation index, 16 PCs
PPM009492 PGS001824
(portability-PLR_277.4)
PSS008622|
European Ancestry|
6,636 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Disorders of bilirubin excretion Partial Correlation (partial-r): 0.0696 [0.0455, 0.0935] sex, age, birth date, deprivation index, 16 PCs
PPM009493 PGS001824
(portability-PLR_277.4)
PSS008397|
Greater Middle Eastern Ancestry|
1,196 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Disorders of bilirubin excretion Partial Correlation (partial-r): -0.0314 [-0.0885, 0.0258] sex, age, birth date, deprivation index, 16 PCs
PPM009494 PGS001824
(portability-PLR_277.4)
PSS008176|
South Asian Ancestry|
6,292 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Disorders of bilirubin excretion Partial Correlation (partial-r): 0.0243 sex, age, birth date, deprivation index, 16 PCs
PPM009495 PGS001824
(portability-PLR_277.4)
PSS007743|
African Ancestry|
2,472 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Disorders of bilirubin excretion Partial Correlation (partial-r): 0.002 [-0.0376, 0.0416] sex, age, birth date, deprivation index, 16 PCs
PPM009496 PGS001824
(portability-PLR_277.4)
PSS008847|
African Ancestry|
3,901 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Disorders of bilirubin excretion Partial Correlation (partial-r): 0.0014 [-0.0301, 0.0328] sex, age, birth date, deprivation index, 16 PCs
PPM009497 PGS001825
(portability-PLR_278)
PSS009295|
European Ancestry|
20,000 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Overweight, obesity and other hyperalimentation Partial Correlation (partial-r): 0.0547 [0.0409, 0.0686] sex, age, birth date, deprivation index, 16 PCs
PPM009499 PGS001825
(portability-PLR_278)
PSS008623|
European Ancestry|
6,660 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Overweight, obesity and other hyperalimentation Partial Correlation (partial-r): 0.0516 [0.0276, 0.0756] sex, age, birth date, deprivation index, 16 PCs
PPM009500 PGS001825
(portability-PLR_278)
PSS008398|
Greater Middle Eastern Ancestry|
1,200 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Overweight, obesity and other hyperalimentation Partial Correlation (partial-r): 0.0493 [-0.0078, 0.106] sex, age, birth date, deprivation index, 16 PCs
PPM009501 PGS001825
(portability-PLR_278)
PSS008177|
South Asian Ancestry|
6,331 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Overweight, obesity and other hyperalimentation Partial Correlation (partial-r): 0.0334 [0.0087, 0.058] sex, age, birth date, deprivation index, 16 PCs
PPM009502 PGS001825
(portability-PLR_278)
PSS007963|
East Asian Ancestry|
1,810 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Overweight, obesity and other hyperalimentation Partial Correlation (partial-r): -0.0049 [-0.0513, 0.0414] sex, age, birth date, deprivation index, 16 PCs
PPM009503 PGS001825
(portability-PLR_278)
PSS007744|
African Ancestry|
2,484 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Overweight, obesity and other hyperalimentation Partial Correlation (partial-r): 0.0323 [-0.0072, 0.0717] sex, age, birth date, deprivation index, 16 PCs
PPM009504 PGS001825
(portability-PLR_278)
PSS008848|
African Ancestry|
3,924 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Overweight, obesity and other hyperalimentation Partial Correlation (partial-r): 0.0208 [-0.0105, 0.0522] sex, age, birth date, deprivation index, 16 PCs
PPM009498 PGS001825
(portability-PLR_278)
PSS009069|
European Ancestry|
4,136 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Overweight, obesity and other hyperalimentation Partial Correlation (partial-r): 0.0453 [0.0148, 0.0758] sex, age, birth date, deprivation index, 16 PCs
PPM011074 PGS002025
(portability-ldpred2_250.1)
PSS009287|
European Ancestry|
18,975 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 1 diabetes Partial Correlation (partial-r): 0.0824 [0.0682, 0.0965] sex, age, birth date, deprivation index, 16 PCs
PPM011075 PGS002025
(portability-ldpred2_250.1)
PSS009061|
European Ancestry|
3,954 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 1 diabetes Partial Correlation (partial-r): 0.0666 [0.0354, 0.0976] sex, age, birth date, deprivation index, 16 PCs
PPM011076 PGS002025
(portability-ldpred2_250.1)
PSS008615|
European Ancestry|
6,300 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 1 diabetes Partial Correlation (partial-r): 0.0719 [0.0472, 0.0964] sex, age, birth date, deprivation index, 16 PCs
PPM011077 PGS002025
(portability-ldpred2_250.1)
PSS008391|
Greater Middle Eastern Ancestry|
1,107 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 1 diabetes Partial Correlation (partial-r): 0.0529 [-0.0066, 0.112] sex, age, birth date, deprivation index, 16 PCs
PPM011078 PGS002025
(portability-ldpred2_250.1)
PSS008169|
South Asian Ancestry|
5,228 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 1 diabetes Partial Correlation (partial-r): 0.0228 [-0.0044, 0.0499] sex, age, birth date, deprivation index, 16 PCs
PPM011079 PGS002025
(portability-ldpred2_250.1)
PSS007956|
East Asian Ancestry|
1,729 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 1 diabetes Partial Correlation (partial-r): -0.0048 [-0.0522, 0.0427] sex, age, birth date, deprivation index, 16 PCs
PPM011080 PGS002025
(portability-ldpred2_250.1)
PSS007737|
African Ancestry|
2,200 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 1 diabetes Partial Correlation (partial-r): 0.0089 [-0.0331, 0.0509] sex, age, birth date, deprivation index, 16 PCs
PPM011081 PGS002025
(portability-ldpred2_250.1)
PSS008840|
African Ancestry|
3,490 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 1 diabetes Partial Correlation (partial-r): -0.013 [-0.0463, 0.0203] sex, age, birth date, deprivation index, 16 PCs
PPM011082 PGS002026
(portability-ldpred2_250.2)
PSS009288|
European Ancestry|
19,931 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 2 diabetes Partial Correlation (partial-r): 0.1304 [0.1168, 0.1441] sex, age, birth date, deprivation index, 16 PCs
PPM011083 PGS002026
(portability-ldpred2_250.2)
PSS009062|
European Ancestry|
4,121 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 2 diabetes Partial Correlation (partial-r): 0.0862 [0.0558, 0.1165] sex, age, birth date, deprivation index, 16 PCs
PPM011084 PGS002026
(portability-ldpred2_250.2)
PSS008616|
European Ancestry|
6,646 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 2 diabetes Partial Correlation (partial-r): 0.1134 [0.0896, 0.1371] sex, age, birth date, deprivation index, 16 PCs
PPM011085 PGS002026
(portability-ldpred2_250.2)
PSS008392|
Greater Middle Eastern Ancestry|
1,197 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 2 diabetes Partial Correlation (partial-r): 0.1764 [0.1205, 0.2312] sex, age, birth date, deprivation index, 16 PCs
PPM011087 PGS002026
(portability-ldpred2_250.2)
PSS007957|
East Asian Ancestry|
1,808 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 2 diabetes Partial Correlation (partial-r): 0.0786 [0.0324, 0.1246] sex, age, birth date, deprivation index, 16 PCs
PPM011088 PGS002026
(portability-ldpred2_250.2)
PSS007738|
African Ancestry|
2,476 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 2 diabetes Partial Correlation (partial-r): 0.1001 [0.0607, 0.1391] sex, age, birth date, deprivation index, 16 PCs
PPM011089 PGS002026
(portability-ldpred2_250.2)
PSS008841|
African Ancestry|
3,896 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 2 diabetes Partial Correlation (partial-r): 0.0806 [0.0493, 0.1118] sex, age, birth date, deprivation index, 16 PCs
PPM011086 PGS002026
(portability-ldpred2_250.2)
PSS008170|
South Asian Ancestry|
6,312 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Type 2 diabetes Partial Correlation (partial-r): 0.158 [0.1338, 0.182] sex, age, birth date, deprivation index, 16 PCs
PPM011090 PGS002027
(portability-ldpred2_250.7)
PSS009289|
European Ancestry|
19,330 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Diabetic retinopathy Partial Correlation (partial-r): 0.0451 [0.031, 0.0592] sex, age, birth date, deprivation index, 16 PCs
PPM011091 PGS002027
(portability-ldpred2_250.7)
PSS009063|
European Ancestry|
4,032 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Diabetic retinopathy Partial Correlation (partial-r): 0.0607 [0.0298, 0.0915] sex, age, birth date, deprivation index, 16 PCs
PPM011092 PGS002027
(portability-ldpred2_250.7)
PSS008617|
European Ancestry|
6,465 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Diabetic retinopathy Partial Correlation (partial-r): 0.0241 sex, age, birth date, deprivation index, 16 PCs
PPM011093 PGS002027
(portability-ldpred2_250.7)
PSS008393|
Greater Middle Eastern Ancestry|
1,162 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Diabetic retinopathy Partial Correlation (partial-r): -0.0311 [-0.0889, 0.027] sex, age, birth date, deprivation index, 16 PCs
PPM011094 PGS002027
(portability-ldpred2_250.7)
PSS008171|
South Asian Ancestry|
6,081 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Diabetic retinopathy Partial Correlation (partial-r): 0.0351 [0.01, 0.0603] sex, age, birth date, deprivation index, 16 PCs
PPM011095 PGS002027
(portability-ldpred2_250.7)
PSS007958|
East Asian Ancestry|
1,764 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Diabetic retinopathy Partial Correlation (partial-r): -0.0302 [-0.077, 0.0168] sex, age, birth date, deprivation index, 16 PCs
PPM011096 PGS002027
(portability-ldpred2_250.7)
PSS007739|
African Ancestry|
2,385 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Diabetic retinopathy Partial Correlation (partial-r): -0.0204 [-0.0606, 0.0199] sex, age, birth date, deprivation index, 16 PCs
PPM011097 PGS002027
(portability-ldpred2_250.7)
PSS008842|
African Ancestry|
3,732 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Diabetic retinopathy Partial Correlation (partial-r): 0.0062 [-0.0259, 0.0384] sex, age, birth date, deprivation index, 16 PCs
PPM011114 PGS002030
(portability-ldpred2_274.1)
PSS009292|
European Ancestry|
19,983 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Gout Partial Correlation (partial-r): 0.0415 [0.0277, 0.0554] sex, age, birth date, deprivation index, 16 PCs
PPM011115 PGS002030
(portability-ldpred2_274.1)
PSS009066|
European Ancestry|
4,135 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Gout Partial Correlation (partial-r): 0.047 [0.0165, 0.0775] sex, age, birth date, deprivation index, 16 PCs
PPM011116 PGS002030
(portability-ldpred2_274.1)
PSS008620|
European Ancestry|
6,655 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Gout Partial Correlation (partial-r): 0.0476 [0.0236, 0.0716] sex, age, birth date, deprivation index, 16 PCs
PPM011117 PGS002030
(portability-ldpred2_274.1)
PSS008396|
Greater Middle Eastern Ancestry|
1,200 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Gout Partial Correlation (partial-r): -0.0053 [-0.0623, 0.0518] sex, age, birth date, deprivation index, 16 PCs
PPM011118 PGS002030
(portability-ldpred2_274.1)
PSS008174|
South Asian Ancestry|
6,325 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Gout Partial Correlation (partial-r): 0.0231 [-0.0015, 0.0478] sex, age, birth date, deprivation index, 16 PCs
PPM011119 PGS002030
(portability-ldpred2_274.1)
PSS007961|
East Asian Ancestry|
1,810 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Gout Partial Correlation (partial-r): 0.0262 [-0.0201, 0.0725] sex, age, birth date, deprivation index, 16 PCs
PPM011120 PGS002030
(portability-ldpred2_274.1)
PSS007742|
African Ancestry|
2,480 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Gout Partial Correlation (partial-r): 0.0336 [-0.006, 0.073] sex, age, birth date, deprivation index, 16 PCs
PPM011121 PGS002030
(portability-ldpred2_274.1)
PSS008845|
African Ancestry|
3,918 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Gout Partial Correlation (partial-r): 0.0254 [-0.006, 0.0568] sex, age, birth date, deprivation index, 16 PCs
PPM011122 PGS002031
(portability-ldpred2_275.1)
PSS009293|
European Ancestry|
19,883 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Disorders of iron metabolism Partial Correlation (partial-r): 0.1355 [0.1219, 0.1492] sex, age, birth date, deprivation index, 16 PCs
PPM011123 PGS002031
(portability-ldpred2_275.1)
PSS009067|
European Ancestry|
4,105 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Disorders of iron metabolism Partial Correlation (partial-r): 0.1073 [0.0769, 0.1375] sex, age, birth date, deprivation index, 16 PCs
PPM011124 PGS002031
(portability-ldpred2_275.1)
PSS008621|
European Ancestry|
6,637 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Disorders of iron metabolism Partial Correlation (partial-r): 0.0173 [-0.0068, 0.0414] sex, age, birth date, deprivation index, 16 PCs
PPM011125 PGS002031
(portability-ldpred2_275.1)
PSS008175|
South Asian Ancestry|
6,298 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Disorders of iron metabolism Partial Correlation (partial-r): -0.0027 [-0.0274, 0.0221] sex, age, birth date, deprivation index, 16 PCs
PPM011127 PGS002031
(portability-ldpred2_275.1)
PSS008846|
African Ancestry|
3,903 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Disorders of iron metabolism Partial Correlation (partial-r): -0.0075 [-0.039, 0.0239] sex, age, birth date, deprivation index, 16 PCs
PPM011126 PGS002031
(portability-ldpred2_275.1)
PSS007962|
East Asian Ancestry|
1,809 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Disorders of iron metabolism Partial Correlation (partial-r): -0.008 [-0.0543, 0.0384] sex, age, birth date, deprivation index, 16 PCs
PPM011128 PGS002032
(portability-ldpred2_277.4)
PSS009294|
European Ancestry|
19,924 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Disorders of bilirubin excretion Partial Correlation (partial-r): 0.0716 [0.0578, 0.0854] sex, age, birth date, deprivation index, 16 PCs
PPM011129 PGS002032
(portability-ldpred2_277.4)
PSS009068|
European Ancestry|
4,126 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Disorders of bilirubin excretion Partial Correlation (partial-r): 0.0534 [0.0228, 0.0838] sex, age, birth date, deprivation index, 16 PCs
PPM011130 PGS002032
(portability-ldpred2_277.4)
PSS008622|
European Ancestry|
6,636 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Disorders of bilirubin excretion Partial Correlation (partial-r): 0.0714 [0.0474, 0.0953] sex, age, birth date, deprivation index, 16 PCs
PPM011131 PGS002032
(portability-ldpred2_277.4)
PSS008397|
Greater Middle Eastern Ancestry|
1,196 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Disorders of bilirubin excretion Partial Correlation (partial-r): -0.0333 [-0.0903, 0.0239] sex, age, birth date, deprivation index, 16 PCs
PPM011132 PGS002032
(portability-ldpred2_277.4)
PSS008176|
South Asian Ancestry|
6,292 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Disorders of bilirubin excretion Partial Correlation (partial-r): 0.0252 sex, age, birth date, deprivation index, 16 PCs
PPM011133 PGS002032
(portability-ldpred2_277.4)
PSS007743|
African Ancestry|
2,472 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Disorders of bilirubin excretion Partial Correlation (partial-r): 0.0011 [-0.0385, 0.0406] sex, age, birth date, deprivation index, 16 PCs
PPM011134 PGS002032
(portability-ldpred2_277.4)
PSS008847|
African Ancestry|
3,901 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Disorders of bilirubin excretion Partial Correlation (partial-r): -0.0017 [-0.0332, 0.0297] sex, age, birth date, deprivation index, 16 PCs
PPM011135 PGS002033
(portability-ldpred2_278)
PSS009295|
European Ancestry|
20,000 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Overweight, obesity and other hyperalimentation Partial Correlation (partial-r): 0.0789 [0.0651, 0.0927] sex, age, birth date, deprivation index, 16 PCs
PPM011137 PGS002033
(portability-ldpred2_278)
PSS008623|
European Ancestry|
6,660 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Overweight, obesity and other hyperalimentation Partial Correlation (partial-r): 0.0824 [0.0585, 0.1062] sex, age, birth date, deprivation index, 16 PCs
PPM011138 PGS002033
(portability-ldpred2_278)
PSS008398|
Greater Middle Eastern Ancestry|
1,200 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Overweight, obesity and other hyperalimentation Partial Correlation (partial-r): 0.0801 [0.0232, 0.1366] sex, age, birth date, deprivation index, 16 PCs
PPM011139 PGS002033
(portability-ldpred2_278)
PSS008177|
South Asian Ancestry|
6,331 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Overweight, obesity and other hyperalimentation Partial Correlation (partial-r): 0.0502 [0.0255, 0.0747] sex, age, birth date, deprivation index, 16 PCs
PPM011140 PGS002033
(portability-ldpred2_278)
PSS007963|
East Asian Ancestry|
1,810 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Overweight, obesity and other hyperalimentation Partial Correlation (partial-r): 0.0109 [-0.0354, 0.0572] sex, age, birth date, deprivation index, 16 PCs
PPM011141 PGS002033
(portability-ldpred2_278)
PSS007744|
African Ancestry|
2,484 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Overweight, obesity and other hyperalimentation Partial Correlation (partial-r): 0.0265 [-0.013, 0.0659] sex, age, birth date, deprivation index, 16 PCs
PPM011142 PGS002033
(portability-ldpred2_278)
PSS008848|
African Ancestry|
3,924 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Overweight, obesity and other hyperalimentation Partial Correlation (partial-r): 0.0516 [0.0203, 0.0829] sex, age, birth date, deprivation index, 16 PCs
PPM011136 PGS002033
(portability-ldpred2_278)
PSS009069|
European Ancestry|
4,136 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Overweight, obesity and other hyperalimentation Partial Correlation (partial-r): 0.0523 [0.0218, 0.0827] sex, age, birth date, deprivation index, 16 PCs
PPM011640 PGS002098
(portability-ldpred2_abnormal_appetite)
PSS009381|
European Ancestry|
6,451 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Recent poor appetite or overeating Partial Correlation (partial-r): 0.0629 [0.0385, 0.0872] sex, age, birth date, deprivation index, 16 PCs
PPM011641 PGS002098
(portability-ldpred2_abnormal_appetite)
PSS009155|
European Ancestry|
1,243 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Recent poor appetite or overeating Partial Correlation (partial-r): 0.1194 [0.0638, 0.1743] sex, age, birth date, deprivation index, 16 PCs
PPM011642 PGS002098
(portability-ldpred2_abnormal_appetite)
PSS008709|
European Ancestry|
2,260 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Recent poor appetite or overeating Partial Correlation (partial-r): 0.0823 [0.0411, 0.1233] sex, age, birth date, deprivation index, 16 PCs
PPM011644 PGS002098
(portability-ldpred2_abnormal_appetite)
PSS008261|
South Asian Ancestry|
814 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Recent poor appetite or overeating Partial Correlation (partial-r): 0.0558 [-0.0138, 0.1249] sex, age, birth date, deprivation index, 16 PCs
PPM011645 PGS002098
(portability-ldpred2_abnormal_appetite)
PSS008039|
East Asian Ancestry|
427 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Recent poor appetite or overeating Partial Correlation (partial-r): 0.0486 [-0.0488, 0.1451] sex, age, birth date, deprivation index, 16 PCs
PPM011646 PGS002098
(portability-ldpred2_abnormal_appetite)
PSS007825|
African Ancestry|
372 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Recent poor appetite or overeating Partial Correlation (partial-r): -0.0014 [-0.1059, 0.1032] sex, age, birth date, deprivation index, 16 PCs
PPM011647 PGS002098
(portability-ldpred2_abnormal_appetite)
PSS008929|
African Ancestry|
511 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Recent poor appetite or overeating Partial Correlation (partial-r): -0.014 [-0.1023, 0.0746] sex, age, birth date, deprivation index, 16 PCs
PPM011643 PGS002098
(portability-ldpred2_abnormal_appetite)
PSS008483|
Greater Middle Eastern Ancestry|
201 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Recent poor appetite or overeating Partial Correlation (partial-r): 0.1181 [-0.0282, 0.2595] sex, age, birth date, deprivation index, 16 PCs
PPM012733 PGS002243
(ldpred_t2d)
PSS009522|
European Ancestry|
258,402 individuals
PGP000271 |
Mars N et al. Cell Genom (2022)
Reported Trait: Type 2 diabetes OR: 1.58 [1.56, 1.6] age, sex, 10 PCs (+/- dataset-specific technical covariates)
PPM012737 PGS002243
(ldpred_t2d)
PSS009518|
European Ancestry|
110,597 individuals
PGP000271 |
Mars N et al. Cell Genom (2022)
Reported Trait: Type 2 diabetes OR: 1.55 [1.51, 1.59] age, sex, 10 PCs (+/- dataset-specific technical covariates)
PPM012741 PGS002243
(ldpred_t2d)
PSS009514|
East Asian Ancestry|
178,726 individuals
PGP000271 |
Mars N et al. Cell Genom (2022)
Reported Trait: Type 2 diabetes OR: 1.37 [1.36, 1.39] age, sex, 10 PCs (+/- dataset-specific technical covariates)
PPM012745 PGS002243
(ldpred_t2d)
PSS009526|
European Ancestry|
69,422 individuals
PGP000271 |
Mars N et al. Cell Genom (2022)
Reported Trait: Type 2 diabetes OR: 1.64 [1.6, 1.69] birth year, sex, 10 PCs (+/- dataset-specific technical covariates)
PPM012749 PGS002243
(ldpred_t2d)
PSS009534|
European Ancestry|
25,696 individuals
PGP000271 |
Mars N et al. Cell Genom (2022)
Reported Trait: Type 2 diabetes OR: 1.46 [1.41, 1.51] age, sex, 10 PCs (+/- dataset-specific technical covariates)
PPM012753 PGS002243
(ldpred_t2d)
PSS009530|
African Ancestry|
1,535 individuals
PGP000271 |
Mars N et al. Cell Genom (2022)
Reported Trait: Type 2 diabetes OR: 1.24 [1.09, 1.42] age, sex, 10 PCs (+/- dataset-specific technical covariates)
PPM012757 PGS002243
(ldpred_t2d)
PSS009542|
European Ancestry|
343,676 individuals
PGP000271 |
Mars N et al. Cell Genom (2022)
Reported Trait: Type 2 diabetes OR: 1.78 [1.75, 1.81] age, sex, 10 PCs (+/- dataset-specific technical covariates)
PPM012762 PGS002243
(ldpred_t2d)
PSS009538|
African Ancestry|
7,618 individuals
PGP000271 |
Mars N et al. Cell Genom (2022)
Reported Trait: Type 2 diabetes OR: 1.46 [1.32, 1.62] age, sex, 10 PCs (+/- dataset-specific technical covariates)
PPM012767 PGS002243
(ldpred_t2d)
PSS009546|
South Asian Ancestry|
7,628 individuals
PGP000271 |
Mars N et al. Cell Genom (2022)
Reported Trait: Type 2 diabetes OR: 1.66 [1.55, 1.79] age, sex, 10 PCs (+/- dataset-specific technical covariates)
PPM012834 PGS002256
(GRS4_GDM)
PSS009573|
East Asian Ancestry|
985 individuals
PGP000282 |
Wu Q et al. Diabetol Metab Syndr (2022)
Reported Trait: Gestational diabetes mellitus in early pregnancy AUROC: 0.62 [0.573, 0.667]
PPM012947 PGS002277
(pPS_Insulin_secretion_1)
PSS009629|
South Asian Ancestry|
5,806 individuals
PGP000305 |
Siddiqui MK et al. Diabetologia (2022)
Reported Trait: Age at diagnosis Z: 5.2 Z-score p-value < 0.0001
PPM012948 PGS002277
(pPS_Insulin_secretion_1)
PSS009629|
South Asian Ancestry|
5,806 individuals
PGP000305 |
Siddiqui MK et al. Diabetologia (2022)
Reported Trait: Age at diagnosis (normal BMI) β: 37.31 (16.7) : 0.012
PPM012949 PGS002277
(pPS_Insulin_secretion_1)
PSS009629|
South Asian Ancestry|
5,806 individuals
PGP000305 |
Siddiqui MK et al. Diabetologia (2022)
Reported Trait: Age at diagnosis (overweight BMI) β: 32.68 (20.7) : 0.0097
PPM012950 PGS002277
(pPS_Insulin_secretion_1)
PSS009629|
South Asian Ancestry|
5,806 individuals
PGP000305 |
Siddiqui MK et al. Diabetologia (2022)
Reported Trait: Age at diagnosis (obese BMI) β: 18.9 (10.76) : 0.0036
PPM013045 PGS002307
(PRS33_gout)
PSS009665|
European Ancestry|
416,481 individuals
PGP000329 |
Zhang Y et al. BMC Med (2022)
Reported Trait: Incident gout Hazard Ratio (HR, highest vs. lowest tertile): 1.77 [1.66, 1.89] Sex, age, socioeconomic status, education level, C-reactive protein, serum creatinine, cholesterol, triglyceride, cardiovascular disease, diabetes, hypertension, genetic risk, each lifestyle factor, and body mass index (BMI)
PPM013046 PGS002307
(PRS33_gout)
PSS009665|
European Ancestry|
416,481 individuals
PGP000329 |
Zhang Y et al. BMC Med (2022)
Reported Trait: Incident gout without cardiometabolic diseases Hazard Ratio (HR, highest vs. lowest tertile): 4.94 [3.91, 6.23] Sex, age, socioeconomic status, education level, C-reactive protein, serum creatinine, cholesterol, triglyceride, cardiovascular disease, diabetes, hypertension, genetic risk, each lifestyle factor, and body mass index (BMI), Unfavorable lifestyle
PPM013047 PGS002307
(PRS33_gout)
PSS009665|
European Ancestry|
416,481 individuals
PGP000329 |
Zhang Y et al. BMC Med (2022)
Reported Trait: Incident gout with cardiometabolic diseases Hazard Ratio (HR, highest vs. lowest tertile): 3.0 [2.62, 3.43] Sex, age, socioeconomic status, education level, C-reactive protein, serum creatinine, cholesterol, triglyceride, cardiovascular disease, diabetes, hypertension, genetic risk, each lifestyle factor, and body mass index (BMI), Unfavorable lifestyle
PPM013048 PGS002307
(PRS33_gout)
PSS009665|
European Ancestry|
416,481 individuals
PGP000329 |
Zhang Y et al. BMC Med (2022)
Reported Trait: Incident gout Hazard Ratio (HR, middle vs. lowest tertile): 1.53 [1.35, 1.74] Sex, age, socioeconomic status, education level, C-reactive protein, serum creatinine, cholesterol, triglyceride, cardiovascular disease, diabetes, hypertension, genetic risk, each lifestyle factor, and body mass index (BMI), favorable lifestyle
PPM013049 PGS002307
(PRS33_gout)
PSS009665|
European Ancestry|
416,481 individuals
PGP000329 |
Zhang Y et al. BMC Med (2022)
Reported Trait: Incident gout Hazard Ratio (HR, middle vs. lowest tertile): 2.39 [2.12, 2.7] Sex, age, socioeconomic status, education level, C-reactive protein, serum creatinine, cholesterol, triglyceride, cardiovascular disease, diabetes, hypertension, genetic risk, each lifestyle factor, and body mass index (BMI), unfavorable lifestyle
PPM013050 PGS002307
(PRS33_gout)
PSS009665|
European Ancestry|
416,481 individuals
PGP000329 |
Zhang Y et al. BMC Med (2022)
Reported Trait: Incident gout Hazard Ratio (HR, highest vs. lowest tertile): 1.98 [1.75, 2.24] Sex, age, socioeconomic status, education level, C-reactive protein, serum creatinine, cholesterol, triglyceride, cardiovascular disease, diabetes, hypertension, genetic risk, each lifestyle factor, and body mass index (BMI), favorable lifestyle
PPM013044 PGS002307
(PRS33_gout)
PSS009665|
European Ancestry|
416,481 individuals
PGP000329 |
Zhang Y et al. BMC Med (2022)
Reported Trait: Incident gout Hazard Ratio (HR, middle vs. lowest tertile): 1.44 [1.35, 1.54] Sex, age, socioeconomic status, education level, C-reactive protein, serum creatinine, cholesterol, triglyceride, cardiovascular disease, diabetes, hypertension, genetic risk, each lifestyle factor, and body mass index (BMI)
PPM013051 PGS002307
(PRS33_gout)
PSS009665|
European Ancestry|
416,481 individuals
PGP000329 |
Zhang Y et al. BMC Med (2022)
Reported Trait: Incident gout Hazard Ratio (HR, highest vs. lowest tertile): 3.13 [2.79, 3.52] Sex, age, socioeconomic status, education level, C-reactive protein, serum creatinine, cholesterol, triglyceride, cardiovascular disease, diabetes, hypertension, genetic risk, each lifestyle factor, and body mass index (BMI), unfavorable lifestyle
PPM013064 PGS002308
(PRScsx_T2D)
PSS009677|
European Ancestry|
54,793 individuals
PGP000331 |
Ge T et al. Genome Med (2022)
Reported Trait: Type 2 diabetes OR: 1.96 [1.91, 2.02] AUROC: 0.793 : 0.092 age, sex, top 10 PCs, study site
PPM013065 PGS002308
(PRScsx_T2D)
PSS009676|
African Ancestry|
12,472 individuals
PGP000331 |
Ge T et al. Genome Med (2022)
Reported Trait: Type 2 diabetes OR: 1.54 [1.46, 1.64] AUROC: 0.848 : 0.028 age, sex, top 10 PCs, study site
PPM013066 PGS002308
(PRScsx_T2D)
PSS009678|
Hispanic or Latin American Ancestry|
2,374 individuals
PGP000331 |
Ge T et al. Genome Med (2022)
Reported Trait: Type 2 diabetes OR: 2.08 [1.84, 2.35] AUROC: 0.851 : 0.08 age, sex, top 10 PCs, study site
PPM013067 PGS002308
(PRScsx_T2D)
PSS009671|
African Ancestry|
6,745 individuals
PGP000331 |
Ge T et al. Genome Med (2022)
Reported Trait: Type 2 diabetes OR: 1.7 [1.58, 1.84] AUROC: 0.631 : 0.046 age, sex, top 10 PCs
PPM013068 PGS002308
(PRScsx_T2D)
PSS009669|
African Ancestry|
5,498 individuals
PGP000331 |
Ge T et al. Genome Med (2022)
Reported Trait: Type 2 diabetes OR: 1.85 [1.7, 2.01] AUROC: 0.633 : 0.036 age, sex, top 10 PCs
PPM013069 PGS002308
(PRScsx_T2D)
PSS009670|
African Ancestry|
1,896 individuals
PGP000331 |
Ge T et al. Genome Med (2022)
Reported Trait: Type 2 diabetes OR: 1.75 [1.52, 2.02] AUROC: 0.757 : 0.062 age, sex, top 10 PCs
PPM013070 PGS002308
(PRScsx_T2D)
PSS009675|
African Ancestry|
655 individuals
PGP000331 |
Ge T et al. Genome Med (2022)
Reported Trait: Type 2 diabetes OR: 1.37 [1.13, 1.65] AUROC: 0.631 : 0.015 age, sex, top 10 PCs
PPM013071 PGS002308
(PRScsx_T2D)
PSS009672|
East Asian Ancestry|
25,110 individuals
PGP000331 |
Ge T et al. Genome Med (2022)
Reported Trait: Type 2 diabetes OR: 2.19 [2.05, 2.33] AUROC: 0.81 : 0.151 age, sex, top 10 PCs
PPM013072 PGS002308
(PRScsx_T2D)
PSS009673|
East Asian Ancestry|
54,078 individuals
PGP000331 |
Ge T et al. Genome Med (2022)
Reported Trait: Type 2 diabetes OR: 2.01 [1.93, 2.1] AUROC: 0.781 : 0.129 age, sex, top 10 PCs
PPM013073 PGS002308
(PRScsx_T2D)
PSS009674|
East Asian Ancestry|
10,378 individuals
PGP000331 |
Ge T et al. Genome Med (2022)
Reported Trait: Type 2 diabetes OR: 2.16 [1.96, 2.38] AUROC: 0.802 : 0.153 age, sex, top 10 PCs
PPM013086 PGS002321
(disease_DIABETES_ANY_DIAGNOSED.BOLT-LMM)
PSS009727|
African Ancestry|
6,430 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Diabetes (any type) Incremental R2 (full model vs. covariates alone): 0.005 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013135 PGS002321
(disease_DIABETES_ANY_DIAGNOSED.BOLT-LMM)
PSS009728|
East Asian Ancestry|
898 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Diabetes (any type) Incremental R2 (full model vs. covariates alone): 0.006 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013184 PGS002321
(disease_DIABETES_ANY_DIAGNOSED.BOLT-LMM)
PSS009729|
European Ancestry|
43,355 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Diabetes (any type) Incremental R2 (full model vs. covariates alone): 0.0159 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013233 PGS002321
(disease_DIABETES_ANY_DIAGNOSED.BOLT-LMM)
PSS009730|
South Asian Ancestry|
7,926 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Diabetes (any type) Incremental R2 (full model vs. covariates alone): 0.028 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013089 PGS002324
(disease_ENDOCRINE_DIABETES.BOLT-LMM)
PSS009739|
African Ancestry|
6,503 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Endocrine and diabetes diseases Incremental R2 (full model vs. covariates alone): 0.0025 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013138 PGS002324
(disease_ENDOCRINE_DIABETES.BOLT-LMM)
PSS009740|
East Asian Ancestry|
922 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Endocrine and diabetes diseases Incremental R2 (full model vs. covariates alone): 0.0029 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013187 PGS002324
(disease_ENDOCRINE_DIABETES.BOLT-LMM)
PSS009741|
European Ancestry|
43,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Endocrine and diabetes diseases Incremental R2 (full model vs. covariates alone): 0.0101 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013236 PGS002324
(disease_ENDOCRINE_DIABETES.BOLT-LMM)
PSS009742|
South Asian Ancestry|
8,098 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Endocrine and diabetes diseases Incremental R2 (full model vs. covariates alone): 0.0219 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013119 PGS002354
(disease_T2D.BOLT-LMM)
PSS009859|
African Ancestry|
6,503 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0047 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013168 PGS002354
(disease_T2D.BOLT-LMM)
PSS009860|
East Asian Ancestry|
922 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0025 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013217 PGS002354
(disease_T2D.BOLT-LMM)
PSS009861|
European Ancestry|
43,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0135 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013266 PGS002354
(disease_T2D.BOLT-LMM)
PSS009862|
South Asian Ancestry|
8,098 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0218 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013291 PGS002379
(disease_T2D.BOLT-LMM-BBJ)
PSS009859|
African Ancestry|
6,503 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0008 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013314 PGS002379
(disease_T2D.BOLT-LMM-BBJ)
PSS009860|
East Asian Ancestry|
922 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0148 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013360 PGS002379
(disease_T2D.BOLT-LMM-BBJ)
PSS009862|
South Asian Ancestry|
8,098 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0091 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013337 PGS002379
(disease_T2D.BOLT-LMM-BBJ)
PSS009861|
European Ancestry|
43,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0026 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013374 PGS002393
(disease_DIABETES_ANY_DIAGNOSED.P+T.0.0001)
PSS009727|
African Ancestry|
6,430 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Diabetes (any type) Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013423 PGS002393
(disease_DIABETES_ANY_DIAGNOSED.P+T.0.0001)
PSS009728|
East Asian Ancestry|
898 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Diabetes (any type) Incremental R2 (full model vs. covariates alone): 0.0017 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013472 PGS002393
(disease_DIABETES_ANY_DIAGNOSED.P+T.0.0001)
PSS009729|
European Ancestry|
43,355 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Diabetes (any type) Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013521 PGS002393
(disease_DIABETES_ANY_DIAGNOSED.P+T.0.0001)
PSS009730|
South Asian Ancestry|
7,926 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Diabetes (any type) Incremental R2 (full model vs. covariates alone): 0.0001 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013377 PGS002396
(disease_ENDOCRINE_DIABETES.P+T.0.0001)
PSS009739|
African Ancestry|
6,503 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Endocrine and diabetes diseases Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013426 PGS002396
(disease_ENDOCRINE_DIABETES.P+T.0.0001)
PSS009740|
East Asian Ancestry|
922 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Endocrine and diabetes diseases Incremental R2 (full model vs. covariates alone): 0.0008 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013475 PGS002396
(disease_ENDOCRINE_DIABETES.P+T.0.0001)
PSS009741|
European Ancestry|
43,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Endocrine and diabetes diseases Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013524 PGS002396
(disease_ENDOCRINE_DIABETES.P+T.0.0001)
PSS009742|
South Asian Ancestry|
8,098 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Endocrine and diabetes diseases Incremental R2 (full model vs. covariates alone): 0.0001 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013407 PGS002426
(disease_T2D.P+T.0.0001)
PSS009859|
African Ancestry|
6,503 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0001 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013505 PGS002426
(disease_T2D.P+T.0.0001)
PSS009861|
European Ancestry|
43,505 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013554 PGS002426
(disease_T2D.P+T.0.0001)
PSS009862|
South Asian Ancestry|
8,098 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013456 PGS002426
(disease_T2D.P+T.0.0001)
PSS009860|
East Asian Ancestry|
922 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Type 2 diabetes Incremental R2 (full model vs. covariates alone): 0.0032 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013570 PGS002442
(disease_DIABETES_ANY_DIAGNOSED.P+T.0.001)
PSS009727|
African Ancestry|
6,430 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Diabetes (any type) Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013619 PGS002442
(disease_DIABETES_ANY_DIAGNOSED.P+T.0.001)
PSS009728|
East Asian Ancestry|
898 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Diabetes (any type) Incremental R2 (full model vs. covariates alone): 0.0056 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013717 PGS002442
(disease_DIABETES_ANY_DIAGNOSED.P+T.0.001)
PSS009730|
South Asian Ancestry|
7,926 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Diabetes (any type) Incremental R2 (full model vs. covariates alone): 0.0001 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013668 PGS002442
(disease_DIABETES_ANY_DIAGNOSED.P+T.0.001)
PSS009729|
European Ancestry|
43,355 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: Diabetes (any type) Incremental R2 (full model vs. covariates alone): 0.0 age, sex, age‚age*sex, assessment center, genotyping array, 10 PCs
PPM013622 PGS002445
(disease_ENDOCRINE_DIABETES.P+T.0.001)
PSS009740|
East Asian Ancestry