Trait: heart disease

Experimental Factor Ontology (EFO) Information
Identifier EFO_0003777
Description A disease involving the heart and/or pericardium.
Trait category
Cardiovascular disease
Synonyms 22 synonyms
  • CARDIAC DIS
  • Cardiac Disease
  • Cardiac Diseases
  • Disease, Cardiac
  • Disease, Heart
  • Diseases, Cardiac
  • Diseases, Heart
  • HEART DIS
  • Heart Diseases
  • cardiac disease
  • disease of heart
  • disease or disorder of heart
  • disorder of heart
  • disorder of heart/pericardium
  • heart disease
  • heart disease or disorder
  • heart disorder
  • heart trouble
  • heart/pericardial disease
  • heart/pericardial disease or disorder
  • heart/pericardial disorder
  • heart/pericardial trouble
Mapped terms 14 mapped terms
  • DOID:114
  • ICD10:I24
  • ICD10:I51
  • ICD9:429.89
  • ICD9:429.9
  • ICD9:V47.2
  • MESH:D006331
  • MONDO:0005267
  • MeSH:D006331
  • MedDRA:10019276
  • NCIT:C3079
  • SCTID:56265001
  • SNOMEDCT:56265001
  • UMLS:C0018799
Child trait(s) 17 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 "heart 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
GWAS
Dev
Eval
Scoring File (FTP Link)
PGS000010
(GRS27)
PGP000003 |
Mega JL et al. Lancet (2015)
Coronary heart disease coronary artery disease 27
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000010/ScoringFiles/PGS000010.txt.gz
PGS000011
(GRS50)
PGP000004 |
Tada H et al. Eur Heart J (2015)
Coronary artery disease coronary artery disease 50
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000011/ScoringFiles/PGS000011.txt.gz
PGS000012
(GRS49K)
PGP000005 |
Abraham G et al. Eur Heart J (2016)
Coronary artery disease coronary artery disease 49,310
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000012/ScoringFiles/PGS000012.txt.gz
PGS000013
(GPS_CAD)
PGP000006 |
Khera AV et al. Nat Genet (2018)
Coronary artery disease coronary artery disease 6,630,150
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000013/ScoringFiles/PGS000013.txt.gz - Check Terms/Licenses
PGS000016
(GPS_AF)
PGP000006 |
Khera AV et al. Nat Genet (2018)
Atrial fibrillation atrial fibrillation 6,730,541
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000016/ScoringFiles/PGS000016.txt.gz - Check Terms/Licenses
PGS000018
(metaGRS_CAD)
PGP000007 |
Inouye M et al. J Am Coll Cardiol (2018)
Coronary artery disease coronary artery disease 1,745,179
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000018/ScoringFiles/PGS000018.txt.gz
PGS000019
(GRS_CAD)
PGP000009 |
Paquette M et al. J Clin Lipidol (2017)
Coronary artery disease coronary artery disease 192
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000019/ScoringFiles/PGS000019.txt.gz
PGS000035
(PRS_AF)
PGP000022 |
Weng LC et al. Circulation (2017)
Atrial fibrillation atrial fibrillation 1,168
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000035/ScoringFiles/PGS000035.txt.gz
PGS000057
(CHD57)
PGP000042 |
Natarajan P et al. Circulation (2017)
Coronary heart disease coronary artery disease 57
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000057/ScoringFiles/PGS000057.txt.gz
PGS000058
(CAD_GRS_204)
PGP000043 |
Morieri ML et al. Diabetes Care (2018)
Coronary artery disease coronary artery disease 204
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000058/ScoringFiles/PGS000058.txt.gz
PGS000059
(CHD46)
PGP000044 |
Hajek C et al. Circ Genom Precis Med (2018)
Coronary heart disease coronary artery disease 46
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000059/ScoringFiles/PGS000059.txt.gz
PGS000116
(CAD_EJ2020)
PGP000054 |
Elliott J et al. JAMA (2020)
Coronary artery disease coronary artery disease 40,079
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000116/ScoringFiles/PGS000116.txt.gz - Check Terms/Licenses
PGS000200
(GRS28)
PGP000082 |
Tikkanen E et al. Arterioscler Thromb Vasc Biol (2013)
Coronary heart disease coronary artery disease 28
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000200/ScoringFiles/PGS000200.txt.gz
PGS000296
(GPS_CAD_SA)
PGP000090 |
Wang M et al. J Am Coll Cardiol (2020)
Coronary artery disease coronary artery disease 6,630,150
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000296/ScoringFiles/PGS000296.txt.gz - Check Terms/Licenses
PGS000329
(PRS_CHD)
PGP000100 |
Mars N et al. Nat Med (2020)
Coronary heart disease coronary artery disease 6,423,165
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000329/ScoringFiles/PGS000329.txt.gz
PGS000331
(PRS_AF)
PGP000100 |
Mars N et al. Nat Med (2020)
Atrial fibrillation atrial fibrillation 6,183,494
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000331/ScoringFiles/PGS000331.txt.gz
PGS000337
(MetaPRS_CAD)
PGP000104 |
Koyama S et al. Nat Genet (2020)
Coronary artery disease coronary artery disease 75,028
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000337/ScoringFiles/PGS000337.txt.gz - Check Terms/Licenses
PGS000338
(GRS97_AF)
PGP000105 |
Kloosterman M et al. Eur J Heart Fail (2020)
Atrial fibrillation atrial fibrillation 97
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000338/ScoringFiles/PGS000338.txt.gz
PGS000349
(PRS70_CAD)
PGP000114 |
Pechlivanis S et al. BMC Med Genet (2020)
Coronary artery disease coronary artery disease 70
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000349/ScoringFiles/PGS000349.txt.gz
PGS000709
(HC299)
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Heart failure heart failure 183,287
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000709/ScoringFiles/PGS000709.txt.gz - Check Terms/Licenses
PGS000710
(HC326)
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Myocardial infarction myocardial infarction 183,566
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000710/ScoringFiles/PGS000710.txt.gz - Check Terms/Licenses
PGS000727
(AF_PGS)
PGP000137 |
Ritchie SC et al. Nat Metab (2021)
Atrial fibrillation atrial fibrillation 2,210,336
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000727/ScoringFiles/PGS000727.txt.gz
PGS000737
(PRS_BrS)
PGP000144 |
Tadros R et al. Eur Heart J (2019)
Brugada syndrome Brugada syndrome 3
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000737/ScoringFiles/PGS000737.txt.gz
PGS000739
(HCM_GRS)
PGP000146 |
Harper AR et al. Nat Genet (2021)
Hypertrophic cardiomyopathy hypertrophic cardiomyopathy 27
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000739/ScoringFiles/PGS000739.txt.gz
PGS000746
(PRS_UKB)
PGP000152 |
Gola D et al. Circ Genom Precis Med (2020)
Coronary artery disease coronary artery disease 1,940
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000746/ScoringFiles/PGS000746.txt.gz
PGS000747
(PRS_EB)
PGP000152 |
Gola D et al. Circ Genom Precis Med (2020)
Coronary artery disease coronary artery disease 375,822
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000747/ScoringFiles/PGS000747.txt.gz
PGS000748
(PRS_DE)
PGP000152 |
Gola D et al. Circ Genom Precis Med (2020)
Coronary artery disease coronary artery disease 3,423,987
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000748/ScoringFiles/PGS000748.txt.gz
PGS000749
(PRS_COMBINED)
PGP000152 |
Gola D et al. Circ Genom Precis Med (2020)
Coronary artery disease coronary artery disease 1,056,021
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000749/ScoringFiles/PGS000749.txt.gz
PGS000778
(PRSHCM)
PGP000182 |
Tadros R et al. Nat Genet (2021)
Hypertrophic cardiomyopathy hypertrophic cardiomyopathy 20
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000778/ScoringFiles/PGS000778.txt.gz
PGS000798
(157SNP_GRS)
PGP000187 |
Severance LM et al. J Cardiovasc Comput Tomogr (2019)
Coronary heart disease coronary artery disease 157
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000798/ScoringFiles/PGS000798.txt.gz
PGS000818
(GRS_Metabo)
PGP000202 |
Bauer A et al. Genet Epidemiol (2021)
Coronary heart disease coronary artery disease 138
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000818/ScoringFiles/PGS000818.txt.gz
PGS000899
(PRS176_CHD)
PGP000232 |
Feitosa MF et al. Circ Genom Precis Med (2021)
Coronary heart disease coronary artery disease 176
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000899/ScoringFiles/PGS000899.txt.gz
PGS000962
(GBE_HC942)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Chronic ischaemic heart disease (time-to-event) Myocardial Ischemia 2,168
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000962/ScoringFiles/PGS000962.txt.gz
PGS001025
(GBE_HC951)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Nonrheumatic aortic valve disorders (time-to-event) aortic valve disease 36
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001025/ScoringFiles/PGS001025.txt.gz
PGS001048
(GBE_HC1576)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
NSTEMI (algorithmically-defined) Non-ST Elevation Myocardial Infarction 687
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001048/ScoringFiles/PGS001048.txt.gz
PGS001263
(GBE_HC440)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Atrial flutter atrial flutter 2,087
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001263/ScoringFiles/PGS001263.txt.gz
PGS001314
(GBE_HC938)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Acute myocardial infarction (time-to-event) myocardial infarction 1,108
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001314/ScoringFiles/PGS001314.txt.gz
PGS001315
(GBE_HC326)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Myocardial infarction myocardial infarction 1,788
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001315/ScoringFiles/PGS001315.txt.gz
PGS001316
(GBE_HC1574)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Myocardial infarction (algorithmically-defined) myocardial infarction 1,831
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001316/ScoringFiles/PGS001316.txt.gz
PGS001317
(GBE_BIN_FC1006150)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Vascular/heart problems diagnosed by doctor Heart attack myocardial infarction 1,030
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001317/ScoringFiles/PGS001317.txt.gz
PGS001339
(GBE_HC964)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Atrial fibrillation and flutter (time-to-event) atrial fibrillation,
atrial flutter
2,142
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001339/ScoringFiles/PGS001339.txt.gz
PGS001340
(GBE_HC281)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Atrial fibrillation atrial fibrillation 2,955
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001340/ScoringFiles/PGS001340.txt.gz
PGS001355
(CAD_AnnoPred_PRS)
PGP000252 |
Ye Y et al. Circ Genom Precis Med (2021)
Coronary artery disease coronary artery disease 2,994,055
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001355/ScoringFiles/PGS001355.txt.gz
PGS001356
(AF_AnnoPred_PRS)
PGP000252 |
Ye Y et al. Circ Genom Precis Med (2021)
Atrial fibrillation atrial fibrillation 2,996,793
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001356/ScoringFiles/PGS001356.txt.gz
PGS001779
(BRSprs)
PGP000260 |
Barc J et al. Nat Genet (2022)
Brugada syndrome Brugada syndrome 21
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001779/ScoringFiles/PGS001779.txt.gz
PGS001780
(CHD_PRSCS)
PGP000261 |
Tamlander M et al. Commun Biol (2022)
Coronary heart disease coronary artery disease 1,090,048
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001780/ScoringFiles/PGS001780.txt.gz
PGS001790
(1kgeur_gbmi_leaveUKBBout_HF_pst_eff_a1_b0.5_phiauto)
PGP000262 |
Wang Y et al. Cell Genom (2023)
Heart failure heart failure 910,146
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001790/ScoringFiles/PGS001790.txt.gz
PGS001839
(portability-PLR_411.4)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Coronary atherosclerosis coronary atherosclerosis 25,425
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001839/ScoringFiles/PGS001839.txt.gz
PGS001840
(portability-PLR_415)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Pulmonary heart disease cor pulmonale 330
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001840/ScoringFiles/PGS001840.txt.gz
PGS001841
(portability-PLR_427.2)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Atrial fibrillation and flutter atrial fibrillation,
atrial flutter
3,980
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001841/ScoringFiles/PGS001841.txt.gz
PGS001842
(portability-PLR_428)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Congestive heart failure; nonhypertensive congestive heart failure 2,759
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001842/ScoringFiles/PGS001842.txt.gz
PGS002048
(portability-ldpred2_411.4)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Coronary atherosclerosis coronary atherosclerosis 762,124
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002048/ScoringFiles/PGS002048.txt.gz
PGS002049
(portability-ldpred2_415)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Pulmonary heart disease cor pulmonale 222,371
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002049/ScoringFiles/PGS002049.txt.gz
PGS002050
(portability-ldpred2_427.2)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Atrial fibrillation and flutter atrial fibrillation,
atrial flutter
554,908
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002050/ScoringFiles/PGS002050.txt.gz
PGS002051
(portability-ldpred2_428)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Congestive heart failure; nonhypertensive congestive heart failure 642,241
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002051/ScoringFiles/PGS002051.txt.gz
PGS002244
(ldpred_cad)
PGP000271 |
Mars N et al. Cell Genom (2022)
Coronary artery disease coronary artery disease 6,576,338
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002244/ScoringFiles/PGS002244.txt.gz
PGS002262
(metaPRS_CAD)
PGP000289 |
Lu X et al. Eur Heart J (2022)
Coronary artery disease coronary artery disease 540
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002262/ScoringFiles/PGS002262.txt.gz
PGS002271
(PRS_MVP)
PGP000301 |
Roselli C et al. Eur Heart J (2022)
Mitral valve prolapse Mitral valve prolapse 1,097,364
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002271/ScoringFiles/PGS002271.txt.gz
PGS002756
(Atrial_fibrillation_prscs)
PGP000364 |
Mars N et al. Am J Hum Genet (2022)
Atrial fibrillation atrial fibrillation 1,091,491
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002756/ScoringFiles/PGS002756.txt.gz
PGS002773
(GTG_AF_maxCT)
PGP000365 |
Wong CK et al. PLoS One (2022)
Incident atrial fibrillation atrial fibrillation 265
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002773/ScoringFiles/PGS002773.txt.gz - Check Terms/Licenses
PGS002774
(GTG_AF_SCT)
PGP000365 |
Wong CK et al. PLoS One (2022)
Incident atrial fibrillation atrial fibrillation 216,837
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002774/ScoringFiles/PGS002774.txt.gz - Check Terms/Licenses
PGS002775
(GTG_CAD_maxCT)
PGP000365 |
Wong CK et al. PLoS One (2022)
Incident coronary artery disease coronary artery disease 1,059
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002775/ScoringFiles/PGS002775.txt.gz - Check Terms/Licenses
PGS002776
(GTG_CAD_SCT)
PGP000365 |
Wong CK et al. PLoS One (2022)
Incident coronary artery disease coronary artery disease 390,782
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002776/ScoringFiles/PGS002776.txt.gz - Check Terms/Licenses
PGS002809
(GRS_CAD)
PGP000388 |
Ahmed R et al. Int J Cardiol Heart Vasc (2022)
Coronary artery disease coronary artery disease 205
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002809/ScoringFiles/PGS002809.txt.gz
PGS002814
(AF-PRS)
PGP000392 |
Miyazawa K et al. Nat Genet (2023)
Atrial fibrillation atrial fibrillation 4,520
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002814/ScoringFiles/PGS002814.txt.gz
PGS003355
(1MH_CAD_PRS_2015_Ldpred)
PGP000409 |
Aragam KG et al. Nat Genet (2022)
Coronary artery disease coronary artery disease 1,532,758
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003355/ScoringFiles/PGS003355.txt.gz
PGS003356
(1MH_CAD_PRS_2022_Ldpred)
PGP000409 |
Aragam KG et al. Nat Genet (2022)
Coronary artery disease coronary artery disease 2,324,683
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003356/ScoringFiles/PGS003356.txt.gz
PGS003438
(PRS241_CAD)
PGP000440 |
Marston NA et al. JAMA Cardiol (2023)
Coronary artery disease coronary artery disease 241
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003438/ScoringFiles/PGS003438.txt.gz
PGS003446
(TEM_CAD_PRS)
PGP000446 |
Tcheandjieu C et al. Nat Med (2022)
Coronary artery disease coronary artery disease 538,084
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003446/ScoringFiles/PGS003446.txt.gz
PGS003461
(GRS162_AF)
PGP000454 |
Yang L et al. NPJ Digit Med (2023)
Atrial fibrillation atrial fibrillation 162
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003461/ScoringFiles/PGS003461.txt.gz
PGS003725
(GPS_Mult)
PGP000466 |
Patel AP et al. Nat Med (2023)
Coronary artery disease coronary artery disease 1,296,172
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003725/ScoringFiles/PGS003725.txt.gz
PGS003726
(GPS_CADANC)
PGP000466 |
Patel AP et al. Nat Med (2023)
Coronary artery disease coronary artery disease 1,296,172
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003726/ScoringFiles/PGS003726.txt.gz
PGS003727
(GPS_CADEUR)
PGP000466 |
Patel AP et al. Nat Med (2023)
Coronary artery disease coronary artery disease 1,125,113
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003727/ScoringFiles/PGS003727.txt.gz
PGS003761
(PRS165_AF)
PGP000484 |
Zhang J et al. BMC Med (2023)
Atrial fibrillation atrial fibrillation 165
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003761/ScoringFiles/PGS003761.txt.gz
PGS003866
(CAD_lassosum2_ARB)
PGP000501 |
Shim I et al. Nature Communications (2023)
Coronary artery disease coronary artery disease 10,440
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003866/ScoringFiles/PGS003866.txt.gz
PGS003868
(CM_LDpred2_ARB)
PGP000501 |
Shim I et al. Nature Communications (2023)
Cardiomyopathy cardiomyopathy 1,010,014
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003868/ScoringFiles/PGS003868.txt.gz
PGS003969
(PRS39_HF)
PGP000511 |
Rasooly D et al. Nat Commun (2023)
Heart failure heart failure 39
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003969/ScoringFiles/PGS003969.txt.gz
PGS004186
(afib_1)
PGP000520 |
Raben TG et al. Sci Rep (2023)
Atrial fibrillation atrial fibrillation 3,082
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004186/ScoringFiles/PGS004186.txt.gz
PGS004187
(afib_2)
PGP000520 |
Raben TG et al. Sci Rep (2023)
Atrial fibrillation atrial fibrillation 5,118
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004187/ScoringFiles/PGS004187.txt.gz
PGS004188
(afib_3)
PGP000520 |
Raben TG et al. Sci Rep (2023)
Atrial fibrillation atrial fibrillation 2,420
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004188/ScoringFiles/PGS004188.txt.gz
PGS004189
(afib_4)
PGP000520 |
Raben TG et al. Sci Rep (2023)
Atrial fibrillation atrial fibrillation 3,434
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004189/ScoringFiles/PGS004189.txt.gz
PGS004190
(afib_5)
PGP000520 |
Raben TG et al. Sci Rep (2023)
Atrial fibrillation atrial fibrillation 1,972
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004190/ScoringFiles/PGS004190.txt.gz
PGS004196
(cad_1)
PGP000520 |
Raben TG et al. Sci Rep (2023)
Coronary artery disease coronary artery disease 3,892
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004196/ScoringFiles/PGS004196.txt.gz
PGS004197
(cad_2)
PGP000520 |
Raben TG et al. Sci Rep (2023)
Coronary artery disease coronary artery disease 11,490
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004197/ScoringFiles/PGS004197.txt.gz
PGS004198
(cad_3)
PGP000520 |
Raben TG et al. Sci Rep (2023)
Coronary artery disease coronary artery disease 5,723
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004198/ScoringFiles/PGS004198.txt.gz
PGS004199
(cad_4)
PGP000520 |
Raben TG et al. Sci Rep (2023)
Coronary artery disease coronary artery disease 6,085
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004199/ScoringFiles/PGS004199.txt.gz
PGS004200
(cad_5)
PGP000520 |
Raben TG et al. Sci Rep (2023)
Coronary artery disease coronary artery disease 8,361
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004200/ScoringFiles/PGS004200.txt.gz
PGS004237
(CAD_PRS_LDpred_UKB_Pub1)
PGP000532 |
Manikpurage HD et al. Circ Genom Precis Med (2021)
Coronary Artery Disease coronary artery disease 1,146,511
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004237/ScoringFiles/PGS004237.txt.gz
PGS004321
(PRS27_CAD)
PGP000554 |
Marston NA et al. Circulation (2019)
Coronary heart disease coronary artery disease 27
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004321/ScoringFiles/PGS004321.txt.gz
PGS004440
(disease.Atrial_fibrillation.score)
PGP000561 |
Jung H et al. Commun Biol (2024)
Atrial fibrillation atrial fibrillation 1,059,939
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004440/ScoringFiles/PGS004440.txt.gz
PGS004443
(disease.CAD.score)
PGP000561 |
Jung H et al. Commun Biol (2024)
Coronary artery disease (CAD) coronary artery disease 1,059,939
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004443/ScoringFiles/PGS004443.txt.gz
PGS004444
(disease.CVD.score)
PGP000561 |
Jung H et al. Commun Biol (2024)
Coronary vascular disease (CVD) coronary artery disease 1,059,939
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004444/ScoringFiles/PGS004444.txt.gz
PGS004458
(disease.I21.score)
PGP000561 |
Jung H et al. Commun Biol (2024)
I21 (Acute myocardial infarction) acute myocardial infarction 1,059,939
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004458/ScoringFiles/PGS004458.txt.gz
PGS004459
(disease.I25.score)
PGP000561 |
Jung H et al. Commun Biol (2024)
I25 (Chronic ischemic heart disease) heart disease 1,059,939
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004459/ScoringFiles/PGS004459.txt.gz
PGS004461
(disease.I48.score)
PGP000561 |
Jung H et al. Commun Biol (2024)
I48 (Atrial fibrillation and flutter) atrial fibrillation 1,059,939
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004461/ScoringFiles/PGS004461.txt.gz
PGS004462
(disease.I50.score)
PGP000561 |
Jung H et al. Commun Biol (2024)
I50 (Heart failure) heart failure 1,059,939
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004462/ScoringFiles/PGS004462.txt.gz
PGS004510
(meta.Atrial_fibrillation.score)
PGP000561 |
Jung H et al. Commun Biol (2024)
Atrial fibrillation atrial fibrillation 1,059,939
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004510/ScoringFiles/PGS004510.txt.gz
PGS004513
(meta.CAD.score)
PGP000561 |
Jung H et al. Commun Biol (2024)
Coronary artery disease (CAD) coronary artery disease 1,059,939
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004513/ScoringFiles/PGS004513.txt.gz
PGS004514
(meta.CVD.score)
PGP000561 |
Jung H et al. Commun Biol (2024)
Coronary vascular disease (CVD) coronary artery disease 1,059,939
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004514/ScoringFiles/PGS004514.txt.gz
PGS004528
(meta.I21.score)
PGP000561 |
Jung H et al. Commun Biol (2024)
I21 (Acute myocardial infarction) acute myocardial infarction 1,059,939
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004528/ScoringFiles/PGS004528.txt.gz
PGS004529
(meta.I25.score)
PGP000561 |
Jung H et al. Commun Biol (2024)
I25 (Chronic ischemic heart disease) heart disease 1,059,939
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004529/ScoringFiles/PGS004529.txt.gz
PGS004531
(meta.I48.score)
PGP000561 |
Jung H et al. Commun Biol (2024)
I48 (Atrial fibrillation and flutter) atrial fibrillation 1,059,939
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004531/ScoringFiles/PGS004531.txt.gz
PGS004532
(meta.I50.score)
PGP000561 |
Jung H et al. Commun Biol (2024)
I50 (Heart failure) heart failure 1,059,939
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004532/ScoringFiles/PGS004532.txt.gz
PGS004595
(PRS_CHD)
PGP000575 |
Oni-Orisan A et al. Clin Pharmacol Ther (2022)
Coronary heart disease coronary artery disease 164
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004595/ScoringFiles/PGS004595.txt.gz
PGS004596
(PRS64_CHD)
PGP000576 |
Peng H et al. Nutrients (2023)
Coronary heart disease coronary artery disease 64
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004596/ScoringFiles/PGS004596.txt.gz
PGS004598
(PRS12_HF)
PGP000576 |
Peng H et al. Nutrients (2023)
Heart failure heart failure 12
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004598/ScoringFiles/PGS004598.txt.gz
PGS004612
(PRSECG_AI)
PGP000591 |
Wang X et al. Circ Genom Precis Med (2023)
ECG-AI predicted 5-year risk of atrial fibrillation atrial fibrillation 1,117,399
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004612/ScoringFiles/PGS004612.txt.gz
PGS004613
(PRSCHARGE_AF)
PGP000591 |
Wang X et al. Circ Genom Precis Med (2023)
CHARGE-AF predicted 5-year risk of atrial fibrillation atrial fibrillation 1,117,400
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004613/ScoringFiles/PGS004613.txt.gz
PGS004696
(multi_anc_hg37CSx)
PGP000602 |
Smith JL et al. Circ Genom Precis Med (2024)
Coronary heart disease coronary artery disease 1,289,980
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004696/ScoringFiles/PGS004696.txt.gz
PGS004697
(eur_anc_hg37CSx)
PGP000602 |
Smith JL et al. Circ Genom Precis Med (2024)
Coronary heart disease coronary artery disease 1,120,251
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004697/ScoringFiles/PGS004697.txt.gz
PGS004698
(multi_anc_hg37PT)
PGP000602 |
Smith JL et al. Circ Genom Precis Med (2024)
Coronary heart disease coronary artery disease 542,218
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004698/ScoringFiles/PGS004698.txt.gz
PGS004705
(afib_PRSmix_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Atrial Fibrillation atrial fibrillation 3,575,124
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004705/ScoringFiles/PGS004705.txt.gz
PGS004706
(afib_PRSmixPlus_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Atrial Fibrillation atrial fibrillation 3,576,958
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004706/ScoringFiles/PGS004706.txt.gz
PGS004743
(cad_PRSmix_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Coronary artery disease coronary artery disease 3,606,321
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004743/ScoringFiles/PGS004743.txt.gz
PGS004744
(cad_PRSmix_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Coronary artery disease coronary artery disease 7,082,943
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004744/ScoringFiles/PGS004744.txt.gz
PGS004745
(cad_PRSmixPlus_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Coronary artery disease coronary artery disease 4,769,577
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004745/ScoringFiles/PGS004745.txt.gz
PGS004746
(cad_PRSmixPlus_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Coronary artery disease coronary artery disease 6,483,064
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004746/ScoringFiles/PGS004746.txt.gz
PGS004861
(hermes.gwama)
PGP000608 |
Zheng SL et al. medRxiv (2023)
|Pre
Dilated cardiomyopathy dilated cardiomyopathy 713,932
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004861/ScoringFiles/PGS004861.txt.gz
PGS004862
(hermes.mtag)
PGP000608 |
Zheng SL et al. medRxiv (2023)
|Pre
Dilated cardiomyopathy (MTAG) dilated cardiomyopathy 709,534
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004862/ScoringFiles/PGS004862.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
PPM000014 PGS000010
(GRS27)
PSS000008|
European Ancestry|
42,998 individuals
PGP000003 |
Mega JL et al. Lancet (2015)
Reported Trait: Coronary heart disease HR: 1.21 [1.17, 1.26] age, sex, diabetes status, smoking, race, family history of coronary heart disease, HDL cholesterol, LDL cholesterol, and hypertension Meta-analysis of sub-cohort effect sizes
PPM000015 PGS000010
(GRS27)
PSS000009|
European Ancestry|
4,877 individuals
PGP000003 |
Mega JL et al. Lancet (2015)
Reported Trait: Coronary heart disease HR: 1.14 [1.02, 1.28] age, sex, diabetes status, smoking, race, family history of coronary heart disease, HDL cholesterol, LDL cholesterol, and hypertension Meta-analysis of sub-cohort effect sizes
PPM000017 PGS000010
(GRS27)
PSS000010|
European Ancestry|
23,595 individuals
PGP000004 |
Tada H et al. Eur Heart J (2015)
|Ext.
Reported Trait: Incident coronary heart disease HR: 1.2 [1.15, 1.25] age, sex, systolic blood pressure, hypertension treatment, smoking, apoB, apoA-I, prevalent diabetes
PPM000019 PGS000010
(GRS27)
PSS000012|
European Ancestry|
12,676 individuals
PGP000005 |
Abraham G et al. Eur Heart J (2016)
|Ext.
Reported Trait: Incident coronary artery disease HR: 1.21 [1.12, 1.3]
PPM000021 PGS000010
(GRS27)
PSS000011|
European Ancestry|
3,406 individuals
PGP000005 |
Abraham G et al. Eur Heart J (2016)
|Ext.
Reported Trait: Incident coronary artery disease HR: 1.2 [1.07, 1.26]
PPM012951 PGS000010
(GRS27)
PSS009630|
European Ancestry|
4,932 individuals
PGP000306 |
Thompson PL et al. BMC Cardiovasc Disord (2022)
|Ext.
Reported Trait: Reccurent cardiovascular event (coronary heart disease death, non-fatal myocardial infraction, unstable angina pectoris, coronary artery bypass graft and Percutaneous coronary intervention) C-index: 0.7 NRI (GRS-added vs. baseline model): 0.097 Hypertension, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, diabetes, sex, age, current smoking Basline model C-index = 0.69
PPM000016 PGS000011
(GRS50)
PSS000010|
European Ancestry|
23,595 individuals
PGP000004 |
Tada H et al. Eur Heart J (2015)
Reported Trait: Incident coronary heart disease HR: 1.23 [1.18, 1.28] age, sex, systolic blood pressure, hypertension treatment, smoking, apoB, apoA-I, prevalent diabetes
PPM000589 PGS000011
(GRS50)
PSS000334|
European Ancestry|
39,758 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Incident coronary heart disease HR: 1.2 [1.15, 1.25] C-index: 0.698 sex, eMERGE site, first five ancestry-specific principal components Age-as-time-scale Cox regression
PPM000595 PGS000011
(GRS50)
PSS000336|
Hispanic or Latin American Ancestry|
2,194 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Incident coronary heart disease HR: 1.13 [0.93, 1.36] C-index: 0.654 sex, eMERGE site, first five ancestry-specific principal components Age-as-time-scale Cox regression
PPM000592 PGS000011
(GRS50)
PSS000332|
African Ancestry|
7,070 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Incident coronary heart disease HR: 1.05 [0.94, 1.17] C-index: 0.649 sex, eMERGE site, first five ancestry-specific principal components Age-as-time-scale Cox regression
PPM000618 PGS000011
(GRS50)
PSS000332|
African Ancestry|
7,070 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Incident coronary heart disease HR: 1.05 [0.94, 1.18] C-index: 0.704 sex, eMERGE site, diabetes, hypertension, hyperlipidemia, statin use, first 5 ancestry-specific principal components Age-as-time-scale Cox regression
PPM000614 PGS000011
(GRS50)
PSS000334|
European Ancestry|
39,758 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Incident coronary heart disease HR: 1.2 [1.15, 1.25] C-index: 0.736 sex, eMERGE site, diabetes, hypertension, hyperlipidemia, statin use, first 5 ancestry-specific principal components Age-as-time-scale Cox regression
PPM000622 PGS000011
(GRS50)
PSS000336|
Hispanic or Latin American Ancestry|
2,194 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Incident coronary heart disease HR: 1.12 [0.93, 1.36] C-index: 0.708 sex, eMERGE site, diabetes, hypertension, hyperlipidemia, statin use, first 5 ancestry-specific principal components Age-as-time-scale Cox regression
PPM000496 PGS000011
(GRS50)
PSS000285|
European Ancestry|
22,389 individuals
PGP000076 |
Khera AV et al. N Engl J Med (2016)
|Ext.
Reported Trait: Incident coronary artery disease Hazard Ratio (HR; top 20% of score vs bottom 20%): 1.98 [1.76, 2.23] age, sex, self reported education level
PPM000495 PGS000011
(GRS50)
PSS000286|
European Ancestry|
21,222 individuals
PGP000076 |
Khera AV et al. N Engl J Med (2016)
|Ext.
Reported Trait: Incident coronary artery disease Hazard Ratio (HR; top 20% of score vs bottom 20%): 1.94 [1.58, 2.39] age, self reported education level, treatment (vitamin E vs aspirin), 5 genetic principal components
PPM000494 PGS000011
(GRS50)
PSS000283|
European Ancestry|
7,814 individuals
PGP000076 |
Khera AV et al. N Engl J Med (2016)
|Ext.
Reported Trait: Incident coronary artery disease Hazard Ratio (HR; top 20% of score vs bottom 20%): 1.75 [1.46, 2.1] age, sex, self reported education level, 5 genetic principal components
PPM000029 PGS000011
(GRS50)
PSS000018|
Multi-ancestry (including European)|
482,629 individuals
PGP000007 |
Inouye M et al. J Am Coll Cardiol (2018)
|Ext.
Reported Trait: Incident coronary artery disease HR: 1.263 [1.247, 1.28] sex, genetic PCs (1-10), genotyping array
PPM000497 PGS000011
(GRS50)
PSS000284|
European Ancestry|
4,260 individuals
PGP000076 |
Khera AV et al. N Engl J Med (2016)
|Ext.
Reported Trait: Coronary artery calcification Agatston score (mean, top 20% of GRS): 46.0 [9.0, 54.0]
Agatston score (mean, btttom 25% of GRS): 21.0 [18.0, 25.0]
PPM000604 PGS000011
(GRS50)
PSS000335|
Hispanic or Latin American Ancestry|
2,493 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Coronary heart disease (incident and prevalent) OR: 1.2 [1.06, 1.35] AUROC: 0.769 age at first EHR record, duration of EHR, sex, eMERGE site, first five ancestry-specific principal components
PPM000601 PGS000011
(GRS50)
PSS000331|
African Ancestry|
7,597 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Coronary heart disease (incident and prevalent) OR: 1.05 [0.98, 1.14] AUROC: 0.763 age at first EHR record, duration of EHR, sex, eMERGE site, first five ancestry-specific principal components
PPM000598 PGS000011
(GRS50)
PSS000333|
European Ancestry|
45,645 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Coronary heart disease (incident and prevalent) OR: 1.28 [1.25, 1.32] AUROC: 0.75 age at first EHR record, duration of EHR, sex, eMERGE site, first five ancestry-specific principal components
PPM000018 PGS000012
(GRS49K)
PSS000012|
European Ancestry|
12,676 individuals
PGP000005 |
Abraham G et al. Eur Heart J (2016)
Reported Trait: Incident coronary artery disease HR: 1.74 [1.61, 1.86]
OR: 1.74 [1.61, 1.89]
sex, sub-cohort, location (east/west), 5 genetic PCs Used only the 42,364 SNPs that were available in FINRISK
PPM000020 PGS000012
(GRS49K)
PSS000011|
European Ancestry|
3,406 individuals
PGP000005 |
Abraham G et al. Eur Heart J (2016)
Reported Trait: Incident coronary artery disease HR: 1.28 [1.18, 1.38]
OR: 1.28 [1.17, 1.41]
sex, sub-cohort, 5 genetic PCs Used only the 46,773 SNPs that were available in FHS
PPM000028 PGS000012
(GRS49K)
PSS000018|
Multi-ancestry (including European)|
482,629 individuals
PGP000007 |
Inouye M et al. J Am Coll Cardiol (2018)
|Ext.
Reported Trait: Incident coronary artery disease HR: 1.524 [1.498, 1.551] sex, genetic PCs (1-10), genotyping array Used GRS46K (excludes A/T and C/G SNPs, with performance similar to GRS49K)
PPM005158 PGS000012
(GRS49K)
PSS003596|
European Ancestry|
8,946 individuals
PGP000248 |
Liou L et al. Breast Cancer Res (2021)
|Ext.
Reported Trait: Incident coronary artery disease in individuals with breast cancer HR: 1.31 [1.19, 1.44] Age at diagnosis, genotype array, PCs(1-8), body mass index, smoking, sociodemographic variables, medical variables, oncotherapies
PPM001620 PGS000013
(GPS_CAD)
PSS000837|
European Ancestry|
4,847 individuals
PGP000129 |
Mosley JD et al. JAMA (2020)
|Ext.
Reported Trait: Incident coronary heart disease (10-year risk) C-index: 0.7 [0.677, 0.721] Δ C-index (PRS+covariates vs. covariates alone): -0.001 [-0.009, 0.006] Pooled cohort risk percentile, age, sex, PCs (1-5)
PPM001011 PGS000013
(GPS_CAD)
PSS000515|
African Ancestry|
6,979 individuals
PGP000116 |
Aragam KG et al. J Am Coll Cardiol (2020)
|Ext.
Reported Trait: Prevalent Coronary Artery Disease AUROC: 0.58 PCs (1-10) of ancestry
PPM001010 PGS000013
(GPS_CAD)
PSS000517|
Hispanic or Latin American Ancestry|
7,048 individuals
PGP000116 |
Aragam KG et al. J Am Coll Cardiol (2020)
|Ext.
Reported Trait: Prevalent Coronary Artery Disease AUROC: 0.63 PCs (1-10) of ancestry
PPM001009 PGS000013
(GPS_CAD)
PSS000516|
European Ancestry|
10,344 individuals
PGP000116 |
Aragam KG et al. J Am Coll Cardiol (2020)
|Ext.
Reported Trait: Prevalent Coronary Artery Disease AUROC: 0.53 PCs (1-10) of ancestry
PPM001008 PGS000013
(GPS_CAD)
PSS000515|
African Ancestry|
6,979 individuals
PGP000116 |
Aragam KG et al. J Am Coll Cardiol (2020)
|Ext.
Reported Trait: Prevalent Coronary Artery Disease OR: 1.29 [1.23, 1.34] age, sex, PCs (1-10) of ancestry
PPM001007 PGS000013
(GPS_CAD)
PSS000517|
Hispanic or Latin American Ancestry|
7,048 individuals
PGP000116 |
Aragam KG et al. J Am Coll Cardiol (2020)
|Ext.
Reported Trait: Prevalent Coronary Artery Disease OR: 1.5 [1.44, 1.57] age, sex, PCs (1-10) of ancestry
PPM001006 PGS000013
(GPS_CAD)
PSS000516|
European Ancestry|
10,344 individuals
PGP000116 |
Aragam KG et al. J Am Coll Cardiol (2020)
|Ext.
Reported Trait: Prevalent Coronary Artery Disease OR: 1.52 [1.46, 1.58] age, sex, PCs (1-10) of ancestry
PPM001005 PGS000013
(GPS_CAD)
PSS000514|
Multi-ancestry (including European)|
24,371 individuals
PGP000116 |
Aragam KG et al. J Am Coll Cardiol (2020)
|Ext.
Reported Trait: Prevalent Coronary Artery Disease AUROC: 0.61 PCs (1-10) of ancestry
PPM001004 PGS000013
(GPS_CAD)
PSS000519|
Multi-ancestry (including European)|
9,070 individuals
PGP000116 |
Aragam KG et al. J Am Coll Cardiol (2020)
|Ext.
Reported Trait: Prevalent Coronary Artery Disease AUROC: 0.6 PCs (1-10) of ancestry
PPM001003 PGS000013
(GPS_CAD)
PSS000518|
Multi-ancestry (including European)|
13,667 individuals
PGP000116 |
Aragam KG et al. J Am Coll Cardiol (2020)
|Ext.
Reported Trait: Prevalent Coronary Artery Disease AUROC: 0.59 PCs (1-10) of ancestry
PPM001002 PGS000013
(GPS_CAD)
PSS000514|
Multi-ancestry (including European)|
24,371 individuals
PGP000116 |
Aragam KG et al. J Am Coll Cardiol (2020)
|Ext.
Reported Trait: Prevalent Coronary Artery Disease OR: 1.42 [1.35, 1.48] age, sex, PCs (1-10) of ancestry
PPM001001 PGS000013
(GPS_CAD)
PSS000519|
Multi-ancestry (including European)|
9,070 individuals
PGP000116 |
Aragam KG et al. J Am Coll Cardiol (2020)
|Ext.
Reported Trait: Prevalent Coronary Artery Disease OR: 1.45 [1.38, 1.52] age, sex, PCs (1-10) of ancestry, genotyping array
PPM000383 PGS000013
(GPS_CAD)
PSS000219|
European Ancestry|
11,010 individuals
PGP000057 |
Homburger JR et al. Genome Med (2019)
|Ext.
Reported Trait: Coronary artery disease (personal history) OR: 1.589 [1.32, 1.92] AUROC: 0.86 age, sex
PPM001000 PGS000013
(GPS_CAD)
PSS000518|
Multi-ancestry (including European)|
13,667 individuals
PGP000116 |
Aragam KG et al. J Am Coll Cardiol (2020)
|Ext.
Reported Trait: Prevalent Coronary Artery Disease OR: 1.41 [1.34, 1.47] age, sex, PCs (1-10) of ancestry, genotyping array
PPM000999 PGS000013
(GPS_CAD)
PSS000520|
Multi-ancestry (including European)|
47,108 individuals
PGP000116 |
Aragam KG et al. J Am Coll Cardiol (2020)
|Ext.
Reported Trait: Prevalent Coronary Artery Disease OR: 1.42 [1.38, 1.46] age, sex, PCs (1-10) of ancestry, genotyping array
PPM000402 PGS000013
(GPS_CAD)
PSS000227|
Additional Asian Ancestries|
544 individuals
PGP000060 |
Khera AV et al. Circulation (2019)
|Ext.
Reported Trait: Early-onset mycardial infarction (age ≤55 years) OR: 2.16 [1.35, 1.59] Odds Ratio (OR; top 5% vs. rest): 3.33 [0.82, 13.51] 4 genetic PCs
PPM000596 PGS000013
(GPS_CAD)
PSS000336|
Hispanic or Latin American Ancestry|
2,194 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Incident coronary heart disease HR: 1.16 [0.96, 1.41] C-index: 0.659 sex, eMERGE site, first five ancestry-specific principal components Age-as-time-scale Cox regression
PPM000593 PGS000013
(GPS_CAD)
PSS000332|
African Ancestry|
7,070 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Incident coronary heart disease HR: 1.19 [1.07, 1.33] C-index: 0.656 sex, eMERGE site, first five ancestry-specific principal components Age-as-time-scale Cox regression
PPM000619 PGS000013
(GPS_CAD)
PSS000332|
African Ancestry|
7,070 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Incident coronary heart disease HR: 1.17 [1.04, 1.31] C-index: 0.712 sex, eMERGE site, diabetes, hypertension, hyperlipidemia, statin use, first 5 ancestry-specific principal components Age-as-time-scale Cox regression
PPM000615 PGS000013
(GPS_CAD)
PSS000334|
European Ancestry|
39,758 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Incident coronary heart disease HR: 1.47 [1.41, 1.54] C-index: 0.75 sex, eMERGE site, diabetes, hypertension, hyperlipidemia, statin use, first 5 ancestry-specific principal components Age-as-time-scale Cox regression
PPM000623 PGS000013
(GPS_CAD)
PSS000336|
Hispanic or Latin American Ancestry|
2,194 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Incident coronary heart disease HR: 1.14 [0.94, 1.39] C-index: 0.708 sex, eMERGE site, diabetes, hypertension, hyperlipidemia, statin use, first 5 ancestry-specific principal components Age-as-time-scale Cox regression
PPM000590 PGS000013
(GPS_CAD)
PSS000334|
European Ancestry|
39,758 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Incident coronary heart disease HR: 1.5 [1.43, 1.56] C-index: 0.719 sex, eMERGE site, first five ancestry-specific principal components Age-as-time-scale Cox regression
PPM000022 PGS000013
(GPS_CAD)
PSS000015|
European Ancestry|
288,978 individuals
PGP000006 |
Khera AV et al. Nat Genet (2018)
Reported Trait: Coronary artery disease AUROC: 0.81 [0.81, 0.81] Nagelkerke’s R2 (estimate of variance explained by the PGS after covariate adjustment): 0.04 age; sex; Ancestry PC 1-4; genotyping chip
PPM000030 PGS000013
(GPS_CAD)
PSS000021|
European Ancestry|
1,964 individuals
PGP000008 |
Wünnemann F et al. Circ Genom Precis Med (2019)
|Ext.
Reported Trait: Coronary artery disease (prevalent) OR: 1.64 [1.48, 1.81] AUROC: 0.72 [0.7, 0.74] age, sex, first four genetic PCs
PPM000031 PGS000013
(GPS_CAD)
PSS000022|
European Ancestry|
3,309 individuals
PGP000008 |
Wünnemann F et al. Circ Genom Precis Med (2019)
|Ext.
Reported Trait: Coronary artery disease (prevalent) OR: 1.55 [1.38, 1.73] AUROC: 0.89 [0.88, 0.91] age, sex, first four genetic PCs
PPM000032 PGS000013
(GPS_CAD)
PSS000019|
European Ancestry|
5,762 individuals
PGP000008 |
Wünnemann F et al. Circ Genom Precis Med (2019)
|Ext.
Reported Trait: Coronary artery disease (prevalent) OR: 1.69 [1.44, 1.99] AUROC: 0.84 [0.81, 0.87] age, sex, first four genetic PCs, cohort recruitment centre
PPM000033 PGS000013
(GPS_CAD)
PSS000020|
European Ancestry|
3,195 individuals
PGP000008 |
Wünnemann F et al. Circ Genom Precis Med (2019)
|Ext.
Reported Trait: Reccurent coronary artery disease events OR: 1.13 [1.06, 1.22] age, sex, first four genetic PCs
PPM000401 PGS000013
(GPS_CAD)
PSS000229|
Hispanic or Latin American Ancestry|
919 individuals
PGP000060 |
Khera AV et al. Circulation (2019)
|Ext.
Reported Trait: Early-onset mycardial infarction (age ≤55 years) OR: 1.56 [1.29, 1.88] Odds Ratio (OR; top 5% vs. rest): 3.38 [2.03, 5.64] 4 genetic PCs
PPM000400 PGS000013
(GPS_CAD)
PSS000228|
African Ancestry|
1,298 individuals
PGP000060 |
Khera AV et al. Circulation (2019)
|Ext.
Reported Trait: Early-onset mycardial infarction (age ≤55 years) OR: 1.46 [1.28, 1.66] Odds Ratio (OR; top 5% vs. rest): 2.02 [1.29, 3.16] 4 genetic PCs
PPM000399 PGS000013
(GPS_CAD)
PSS000230|
European Ancestry|
3,081 individuals
PGP000060 |
Khera AV et al. Circulation (2019)
|Ext.
Reported Trait: Early-onset mycardial infarction (age ≤55 years) OR: 2.06 [1.89, 2.25] Odds Ratio (OR; top 5% vs. rest): 5.09 [3.82, 6.78] 4 genetic PCs
PPM000387 PGS000013
(GPS_CAD)
PSS000219|
European Ancestry|
11,010 individuals
PGP000057 |
Homburger JR et al. Genome Med (2019)
|Ext.
Reported Trait: Coronary artery disease (personal history) AUROC: 0.6
PPM000933 PGS000013
(GPS_CAD)
PSS000469|
Multi-ancestry (including European)|
325,003 individuals
PGP000108 |
Hindy G et al. Arterioscler Thromb Vasc Biol (2020)
|Ext.
Reported Trait: Incident coronary artery disease C-index: 0.768 [0.76, 0.776] age, sex, PCs (1-10), Pooled Cohort Equations risk estimator
PPM000932 PGS000013
(GPS_CAD)
PSS000469|
Multi-ancestry (including European)|
325,003 individuals
PGP000108 |
Hindy G et al. Arterioscler Thromb Vasc Biol (2020)
|Ext.
Reported Trait: Incident coronary artery disease C-index: 0.756 [0.75, 0.762] age, sex, PCs (1-10)
PPM000929 PGS000013
(GPS_CAD)
PSS000468|
Multi-ancestry (including European)|
5,685 individuals
PGP000108 |
Hindy G et al. Arterioscler Thromb Vasc Biol (2020)
|Ext.
Reported Trait: Incident coronary artery disease C-index: 0.802 [0.763, 0.8841] age, sex, PCs (1-10), Pooled Cohort Equations risk estimator
PPM000928 PGS000013
(GPS_CAD)
PSS000468|
Multi-ancestry (including European)|
5,685 individuals
PGP000108 |
Hindy G et al. Arterioscler Thromb Vasc Biol (2020)
|Ext.
Reported Trait: Incident coronary artery disease C-index: 0.759 [0.724, 0.794] age, sex, PCs (1-10)
PPM000927 PGS000013
(GPS_CAD)
PSS000468|
Multi-ancestry (including European)|
5,685 individuals
PGP000108 |
Hindy G et al. Arterioscler Thromb Vasc Biol (2020)
|Ext.
Reported Trait: Incident coronary artery disease HR: 1.45 [1.34, 1.56] age, sex, clinical risk factors (systolic blood pressure, diastolic blood pressure, apolipoprotein B, apolipoprotein A1, total cholesterol, LDL cholesterol, HDL cholesterol, body mass index, current smoker, diabetes), family history of CAD
PPM000930 PGS000013
(GPS_CAD)
PSS000469|
Multi-ancestry (including European)|
325,003 individuals
PGP000108 |
Hindy G et al. Arterioscler Thromb Vasc Biol (2020)
|Ext.
Reported Trait: Incident coronary artery disease HR: 1.53 [1.49, 1.56] age, sex
PPM000926 PGS000013
(GPS_CAD)
PSS000467|
Multi-ancestry (including European)|
28,556 individuals
PGP000108 |
Hindy G et al. Arterioscler Thromb Vasc Biol (2020)
|Ext.
Reported Trait: Incident coronary artery disease HR: 1.45 [1.4, 1.49] age, sex
PPM000931 PGS000013
(GPS_CAD)
PSS000469|
Multi-ancestry (including European)|
325,003 individuals
PGP000108 |
Hindy G et al. Arterioscler Thromb Vasc Biol (2020)
|Ext.
Reported Trait: Incident coronary artery disease HR: 1.46 [1.42, 1.49] age, sex, clinical risk factors (systolic blood pressure, diastolic blood pressure, apolipoprotein B, apolipoprotein A1, total cholesterol, LDL cholesterol, HDL cholesterol, body mass index, current smoker, diabetes), family history of CAD
PPM002182 PGS000013
(GPS_CAD)
PSS001063|
European Ancestry|
2,909 individuals
PGP000202 |
Bauer A et al. Genet Epidemiol (2021)
|Ext.
Reported Trait: Incident coronary heart disease C-index: 0.573 [0.5254, 0.6212] Only 6,481,934 SNPs from PGS000013 were utilised. SNPs were not included due to imputation quality R^2 < 0.3
PPM000605 PGS000013
(GPS_CAD)
PSS000335|
Hispanic or Latin American Ancestry|
2,493 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Coronary heart disease (incident and prevalent) OR: 1.42 [1.25, 1.61] AUROC: 0.776 age at first EHR record, duration of EHR, sex, eMERGE site, first five ancestry-specific principal components
PPM000602 PGS000013
(GPS_CAD)
PSS000331|
African Ancestry|
7,597 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Coronary heart disease (incident and prevalent) OR: 1.3 [1.21, 1.41] AUROC: 0.771 age at first EHR record, duration of EHR, sex, eMERGE site, first five ancestry-specific principal components
PPM000599 PGS000013
(GPS_CAD)
PSS000333|
European Ancestry|
45,645 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Coronary heart disease (incident and prevalent) OR: 1.66 [1.62, 1.71] AUROC: 0.77 age at first EHR record, duration of EHR, sex, eMERGE site, first five ancestry-specific principal components
PPM001746 PGS000013
(GPS_CAD)
PSS000898|
African Ancestry|
16,755 individuals
PGP000143 |
Fahed AC et al. Circ Genom Precis Med (2020)
|Ext.
Reported Trait: Coronary artery disease OR: 1.25 [1.12, 1.4] PCs(1-4)
PPM001747 PGS000013
(GPS_CAD)
PSS000902|
South Asian Ancestry|
8,102 individuals
PGP000143 |
Fahed AC et al. Circ Genom Precis Med (2020)
|Ext.
Reported Trait: Coronary artery disease OR: 1.47 [1.36, 1.59] PCs(1-4)
PPM001749 PGS000013
(GPS_CAD)
PSS000901|
Hispanic or Latin American Ancestry|
9,085 individuals
PGP000143 |
Fahed AC et al. Circ Genom Precis Med (2020)
|Ext.
Reported Trait: Coronary artery disease OR: 1.52 [1.43, 1.62] PCs(1-4)
PPM000747 PGS000013
(GPS_CAD)
PSS000367|
South Asian Ancestry|
7,244 individuals
PGP000090 |
Wang M et al. J Am Coll Cardiol (2020)
|Ext.
Reported Trait: Coronary artery disease OR: 1.5302 AUROC: 0.8021 age, sex, top 5 genetic PCs
PPM000748 PGS000013
(GPS_CAD)
PSS000365|
South Asian Ancestry|
491 individuals
PGP000090 |
Wang M et al. J Am Coll Cardiol (2020)
|Ext.
Reported Trait: Myocardial infarction (first-ever) OR: 1.4605 AUROC: 0.6482 age, sex, top 5 genetic PCs
PPM000749 PGS000013
(GPS_CAD)
PSS000366|
South Asian Ancestry|
2,963 individuals
PGP000090 |
Wang M et al. J Am Coll Cardiol (2020)
|Ext.
Reported Trait: Coronary artery disease OR: 1.5793 AUROC: 0.7066 age, sex, top 5 genetic PCs
PPM001617 PGS000013
(GPS_CAD)
PSS000839|
European Ancestry|
4,847 individuals
PGP000129 |
Mosley JD et al. JAMA (2020)
|Ext.
Reported Trait: Prevalent and incident coronary heart disease OR: 1.89 [1.75, 2.03] Age, sex, PCs (1-5)
PPM001618 PGS000013
(GPS_CAD)
PSS000837|
European Ancestry|
4,847 individuals
PGP000129 |
Mosley JD et al. JAMA (2020)
|Ext.
Reported Trait: Incident coronary heart disease (10-year risk) HR: 1.24 [1.15, 1.34] C-index: 0.669 [0.644, 0.691] Age, sex, PCs (1-5)
PPM001619 PGS000013
(GPS_CAD)
PSS000838|
European Ancestry|
2,390 individuals
PGP000129 |
Mosley JD et al. JAMA (2020)
|Ext.
Reported Trait: Incident coronary heart disease (10-year risk) HR: 1.38 [1.21, 1.58] C-index: 0.672 [0.627, 0.705] Age, sex, PCs (1-5)
PPM001621 PGS000013
(GPS_CAD)
PSS000838|
European Ancestry|
2,390 individuals
PGP000129 |
Mosley JD et al. JAMA (2020)
|Ext.
Reported Trait: Incident coronary heart disease (10-year risk) C-index: 0.681 [0.637, 0.715] Δ C-index (PRS+covariates vs. covariates alone): 0.021 [-0.0004, 0.043] Pooled cohort risk percentile, age, sex, PCs (1-5)
PPM001622 PGS000013
(GPS_CAD)
PSS000837|
European Ancestry|
4,847 individuals
PGP000129 |
Mosley JD et al. JAMA (2020)
|Ext.
Reported Trait: Incident coronary heart disease (10-year risk) C-index: 0.549 [0.521, 0.571] PCs (1-5)
PPM001623 PGS000013
(GPS_CAD)
PSS000838|
European Ancestry|
2,390 individuals
PGP000129 |
Mosley JD et al. JAMA (2020)
|Ext.
Reported Trait: Incident coronary heart disease (10-year risk) C-index: 0.587 [0.532, 0.623] PCs (1-5)
PPM001745 PGS000013
(GPS_CAD)
PSS000900|
European Ancestry|
474,498 individuals
PGP000143 |
Fahed AC et al. Circ Genom Precis Med (2020)
|Ext.
Reported Trait: Coronary artery disease OR: 1.6 [1.44, 1.78] PCs(1-4)
PPM001748 PGS000013
(GPS_CAD)
PSS000899|
East Asian Ancestry|
3,988 individuals
PGP000143 |
Fahed AC et al. Circ Genom Precis Med (2020)
|Ext.
Reported Trait: Coronary artery disease OR: 1.66 [1.47, 1.86] PCs(1-4)
PPM001848 PGS000013
(GPS_CAD)
PSS000929|
European Ancestry|
5,581 individuals
PGP000152 |
Gola D et al. Circ Genom Precis Med (2020)
|Ext.
Reported Trait: Coronary artery disease AUROC: 0.6699 [0.6557, 0.684]
PPM001849 PGS000013
(GPS_CAD)
PSS000930|
European Ancestry|
27,048 individuals
PGP000152 |
Gola D et al. Circ Genom Precis Med (2020)
|Ext.
Reported Trait: Coronary artery disease AUROC: 0.5617 [0.5402, 0.5833]
PPM001850 PGS000013
(GPS_CAD)
PSS000931|
European Ancestry|
431,814 individuals
PGP000152 |
Gola D et al. Circ Genom Precis Med (2020)
|Ext.
Reported Trait: Coronary artery disease AUROC: 0.6374 [0.6335, 0.6412] May be an overlap between score development and testing samples
PPM002183 PGS000013
(GPS_CAD)
PSS001063|
European Ancestry|
2,909 individuals
PGP000202 |
Bauer A et al. Genet Epidemiol (2021)
|Ext.
Reported Trait: Incident coronary heart disease C-index: 0.7752 [0.7443, 0.8029] Age, sex, survey Only 6,481,934 SNPs from PGS000013 were utilised. SNPs were not included due to imputation quality R^2 < 0.3
PPM002184 PGS000013
(GPS_CAD)
PSS001063|
European Ancestry|
2,909 individuals
PGP000202 |
Bauer A et al. Genet Epidemiol (2021)
|Ext.
Reported Trait: Incident coronary heart disease C-index: 0.8012 [0.7775, 0.8353] Age, sex, survey, Framingham risk score (diabetes status, current and former smoking status, systolic blood pressure, antihypertensive medication, HDL cholesterol, total cholesterol) Only 6,481,934 SNPs from PGS000013 were utilised. SNPs were not included due to imputation quality R^2 < 0.3
PPM009241 PGS000013
(GPS_CAD)
PSS007665|
European Ancestry|
1,132 individuals
PGP000257 |
Wells QS et al. Circ Genom Precis Med (2021)
|Ext.
Reported Trait: Coronary artery calcium score > 20 OR: 1.74 [1.29, 2.36] AUROC: 0.794 [0.728, 0.84] Age, sex, PCs(1-5)
PPM009242 PGS000013
(GPS_CAD)
PSS007665|
European Ancestry|
1,132 individuals
PGP000257 |
Wells QS et al. Circ Genom Precis Med (2021)
|Ext.
Reported Trait: Coronary artery calcium score > 20 OR: 1.87 [1.41, 2.5]
PPM009243 PGS000013
(GPS_CAD)
PSS007665|
European Ancestry|
1,132 individuals
PGP000257 |
Wells QS et al. Circ Genom Precis Med (2021)
|Ext.
Reported Trait: Coronary artery calcium score > 20 AUROC: 0.864 [0.807, 0.904] C statistic change (vs. no PRS): 0.015 [0.004, 0.028]
Integrated discrimination improvement (vs. no PRS): 0.027 [-0.006, 0.054]
Age, sex, PCs(1-5), systolic blood pressure, total cholesterol, high density lipoprotein cholesterol, triglycerides, current smoker, waist circumference
PPM009244 PGS000013
(GPS_CAD)
PSS007666|
European Ancestry|
663 individuals
PGP000257 |
Wells QS et al. Circ Genom Precis Med (2021)
|Ext.
Reported Trait: Coronary artery calcium score > 300 OR: 1.9 [1.42, 2.54] AUROC: 0.804 [0.751, 0.845] Age, sex, PCs(1-5)
PPM009245 PGS000013
(GPS_CAD)
PSS007666|
European Ancestry|
663 individuals
PGP000257 |
Wells QS et al. Circ Genom Precis Med (2021)
|Ext.
Reported Trait: Coronary artery calcium score > 300 OR: 2.11 [1.57, 2.83]
PPM009246 PGS000013
(GPS_CAD)
PSS007666|
European Ancestry|
663 individuals
PGP000257 |
Wells QS et al. Circ Genom Precis Med (2021)
|Ext.
Reported Trait: Coronary artery calcium score > 300 AUROC: 0.855 [0.805, 0.887] C statistic change (vs. no PRS): 0.02 [0.001, 0.039]
Integrated discrimination improvement (vs. no PRS): 0.039 [0.0005, 0.072]
Age, sex, PCs(1-5), systolic blood pressure, total cholesterol, high density lipoprotein cholesterol, triglycerides, current smoker, body mass index
PPM012880 PGS000013
(GPS_CAD)
PSS009590|
Multi-ancestry (including European)|
5,152 individuals
PGP000290 |
Mordi IR et al. Diabetes Care (2022)
|Ext.
Reported Trait: Incident major adverse cardiovascular events in type 2 diabetes HR: 1.68 [1.49, 1.9] Age, sex, glycated hemoglobin, duration of diabetes, retinal risk score, and PCE
PPM012881 PGS000013
(GPS_CAD)
PSS009590|
Multi-ancestry (including European)|
5,152 individuals
PGP000290 |
Mordi IR et al. Diabetes Care (2022)
|Ext.
Reported Trait: Incident major adverse cardiovascular events in type 2 diabetes AUROC: 0.686 [0.667, 0.704] Retinal risk score, age, sex
PPM017189 PGS000013
(GPS_CAD)
PSS010161|
Hispanic or Latin American Ancestry|
30,648 individuals
PGP000446 |
Tcheandjieu C et al. Nat Med (2022)
|Ext.
Reported Trait: Acute myocardial infarction or revascularization OR: 1.52 [1.45, 1.59] age, sex, genotyping batch and top 10 genotype-based PCs
PPM017190 PGS000013
(GPS_CAD)
PSS010160|
African Ancestry|
76,709 individuals
PGP000446 |
Tcheandjieu C et al. Nat Med (2022)
|Ext.
Reported Trait: Acute myocardial infarction or revascularization OR: 1.17 [1.14, 1.21] age, sex, genotyping batch and top 10 genotype-based PCs
PPM017191 PGS000013
(GPS_CAD)
PSS010162|
European Ancestry|
292,438 individuals
PGP000446 |
Tcheandjieu C et al. Nat Med (2022)
|Ext.
Reported Trait: Coronary artery disease OR: 1.36 [1.35, 1.37] age, sex, genotyping batch and top 10 genotype-based PCs
PPM017192 PGS000013
(GPS_CAD)
PSS010161|
Hispanic or Latin American Ancestry|
30,648 individuals
PGP000446 |
Tcheandjieu C et al. Nat Med (2022)
|Ext.
Reported Trait: Coronary artery disease OR: 1.32 [1.28, 1.36] age, sex, genotyping batch and top 10 genotype-based PCs
PPM017193 PGS000013
(GPS_CAD)
PSS010160|
African Ancestry|
76,709 individuals
PGP000446 |
Tcheandjieu C et al. Nat Med (2022)
|Ext.
Reported Trait: Coronary artery disease OR: 1.1 [1.08, 1.12] age, sex, genotyping batch and top 10 genotype-based PCs
PPM017194 PGS000013
(GPS_CAD)
PSS010162|
European Ancestry|
292,438 individuals
PGP000446 |
Tcheandjieu C et al. Nat Med (2022)
|Ext.
Reported Trait: Acute myocardial infarction or revascularization in incident coronary artery disease OR: 1.46 [1.43, 1.49] age, sex, genotyping batch and top 10 genotype-based PCs
PPM017196 PGS000013
(GPS_CAD)
PSS010160|
African Ancestry|
76,709 individuals
PGP000446 |
Tcheandjieu C et al. Nat Med (2022)
|Ext.
Reported Trait: Acute myocardial infarction or revascularization in incident coronary artery disease OR: 1.15 [1.1, 1.2] age, sex, genotyping batch and top 10 genotype-based PCs
PPM017197 PGS000013
(GPS_CAD)
PSS010162|
European Ancestry|
292,438 individuals
PGP000446 |
Tcheandjieu C et al. Nat Med (2022)
|Ext.
Reported Trait: Incident coronary artery disease OR: 1.26 [1.24, 1.28] age, sex, genotyping batch and top 10 genotype-based PCs
PPM017198 PGS000013
(GPS_CAD)
PSS010161|
Hispanic or Latin American Ancestry|
30,648 individuals
PGP000446 |
Tcheandjieu C et al. Nat Med (2022)
|Ext.
Reported Trait: Incident coronary artery disease OR: 1.22 [1.15, 1.29] age, sex, genotyping batch and top 10 genotype-based PCs
PPM017199 PGS000013
(GPS_CAD)
PSS010160|
African Ancestry|
76,709 individuals
PGP000446 |
Tcheandjieu C et al. Nat Med (2022)
|Ext.
Reported Trait: Incident coronary artery disease OR: 1.1 [1.07, 1.14] age, sex, genotyping batch and top 10 genotype-based PCs
PPM014904 PGS000013
(GPS_CAD)
PSS009922|
European Ancestry|
2,119 individuals
PGP000353 |
Sapkota Y et al. JACC CardioOncol (2022)
|Ext.
Reported Trait: Coronary artery disease in childhood cancer survivors HR: 1.25 [1.04, 1.49]
PPM014905 PGS000013
(GPS_CAD)
PSS009922|
European Ancestry|
2,119 individuals
PGP000353 |
Sapkota Y et al. JACC CardioOncol (2022)
|Ext.
Reported Trait: Coronary artery disease in childhood cancer survivors aged <10 years at diagnosis and treated with >25 Gy AUROC: 0.714 Hazard Ratio (HR, top vs. bottom tertile): 15.49 [5.24, 45.52]
PPM015491 PGS000013
(GPS_CAD)
PSS009960|
Ancestry Not Reported|
172,066 individuals
PGP000374 |
Zaccardi F et al. Nutr Metab Cardiovasc Dis (2022)
|Ext.
Reported Trait: 10-year risk of coronary artery disease for slow walkers Hazard Ratio (HR, top 20% vs. bottom 80%): 9.6 [8.62, 10.57]
PPM015493 PGS000013
(GPS_CAD)
PSS009960|
Ancestry Not Reported|
172,066 individuals
PGP000374 |
Zaccardi F et al. Nutr Metab Cardiovasc Dis (2022)
|Ext.
Reported Trait: Difference in 10-year risk of coronary artery disease between slow walkers and brisk walkers Hazard Ratio (HR, top 20% vs. bottom 80%): 3.63 [2.58, 4.67]
PPM015521 PGS000013
(GPS_CAD)
PSS009971|
Multi-ancestry (including European)|
36,422 individuals
PGP000381 |
Hao L et al. Nat Med (2022)
|Ext.
Reported Trait: Coronary artery disease OR: 1.86 [1.69, 2.05] 4 genetic PCs
PPM015490 PGS000013
(GPS_CAD)
PSS009961|
Ancestry Not Reported|
208,627 individuals
PGP000374 |
Zaccardi F et al. Nutr Metab Cardiovasc Dis (2022)
|Ext.
Reported Trait: 10-year risk of coronary artery disease for slow walkers Hazard Ratio (HR, top 20% vs. bottom 80%): 2.72 [2.3, 3.13]
PPM015492 PGS000013
(GPS_CAD)
PSS009961|
Ancestry Not Reported|
208,627 individuals
PGP000374 |
Zaccardi F et al. Nutr Metab Cardiovasc Dis (2022)
|Ext.
Reported Trait: Difference in 10-year risk of coronary artery disease between slow walkers and brisk walkers Hazard Ratio (HR, top 20% vs. bottom 80%): 1.26 [0.81, 1.71]
PPM015494 PGS000013
(GPS_CAD)
PSS009961|
Ancestry Not Reported|
208,627 individuals
PGP000374 |
Zaccardi F et al. Nutr Metab Cardiovasc Dis (2022)
|Ext.
Reported Trait: 10-year risk of coronary artery disease C-index: 0.801 [0.793, 0.808] Age (continuous), Townsend deprivation index (continuous), systolic blood pressure (continuous), LDL cholesterol (continuous), smoking status (current/former/never), history of diabetes (yes/no), family history of myocardial infarction (yes/no), walking pace
PPM015495 PGS000013
(GPS_CAD)
PSS009960|
Ancestry Not Reported|
172,066 individuals
PGP000374 |
Zaccardi F et al. Nutr Metab Cardiovasc Dis (2022)
|Ext.
Reported Trait: 10-year risk of coronary artery disease C-index: 0.732 [0.728, 0.737] Age (continuous), Townsend deprivation index (continuous), systolic blood pressure (continuous), LDL cholesterol (continuous), smoking status (current/former/never), history of diabetes (yes/no), family history of myocardial infarction (yes/no), walking pace
PPM017088 PGS000013
(GPS_CAD)
PSS010120|
European Ancestry|
4,218 individuals
PGP000433 |
de La Harpe R et al. Eur J Prev Cardiol (2023)
|Ext.
Reported Trait: Atherosclerotic cardiovascular disease (incident and prevalent) OR: 1.34 [1.2, 1.5] AUROC: 0.766 [0.741, 0.792] sex, age
PPM017089 PGS000013
(GPS_CAD)
PSS010122|
European Ancestry|
4,218 individuals
PGP000433 |
de La Harpe R et al. Eur J Prev Cardiol (2023)
|Ext.
Reported Trait: Coronary heart disease (incident and prevalent) OR: 1.6 [1.44, 1.79] AUROC: 0.784 [0.76, 0.808] sex, age
PPM017090 PGS000013
(GPS_CAD)
PSS010119|
European Ancestry|
3,383 individuals
PGP000433 |
de La Harpe R et al. Eur J Prev Cardiol (2023)
|Ext.
Reported Trait: Incident atherosclerotic cardiovascular disease HR: 1.29 [1.13, 1.48] sex, age, 10 principal components
PPM017091 PGS000013
(GPS_CAD)
PSS010121|
European Ancestry|
3,383 individuals
PGP000433 |
de La Harpe R et al. Eur J Prev Cardiol (2023)
|Ext.
Reported Trait: Incident coronary heart disease HR: 1.59 [1.41, 1.8] sex, age, 10 principal components
PPM017188 PGS000013
(GPS_CAD)
PSS010162|
European Ancestry|
292,438 individuals
PGP000446 |
Tcheandjieu C et al. Nat Med (2022)
|Ext.
Reported Trait: Acute myocardial infarction or revascularization OR: 1.51 [1.49, 1.53] age, sex, genotyping batch and top 10 genotype-based PCs
PPM017195 PGS000013
(GPS_CAD)
PSS010161|
Hispanic or Latin American Ancestry|
30,648 individuals
PGP000446 |
Tcheandjieu C et al. Nat Med (2022)
|Ext.
Reported Trait: Acute myocardial infarction or revascularization in incident coronary artery disease OR: 1.49 [1.38, 1.61] age, sex, genotyping batch and top 10 genotype-based PCs
PPM020267 PGS000013
(GPS_CAD)
PSS011315|
East Asian Ancestry|
901 individuals
PGP000534 |
Bhak Y et al. PLoS One (2021)
|Ext.
Reported Trait: Early onset acute myocardial infarction following percutaneous coronary intervention OR: 1.83 [1.69, 1.99] AUROC: 0.65 [0.61, 0.69]
PPM020269 PGS000013
(GPS_CAD)
PSS011316|
East Asian Ancestry|
197 individuals
PGP000534 |
Bhak Y et al. PLoS One (2021)
|Ext.
Reported Trait: Cumulative event of repeat revascularization following percutaneous coronary intervention HR: 1.64 [1.12, 2.38] Hazard ratio (HR, top 50% vs bottom 50%): 2.19 [1.47, 2.36]
PPM020270 PGS000013
(GPS_CAD)
PSS011316|
East Asian Ancestry|
197 individuals
PGP000534 |
Bhak Y et al. PLoS One (2021)
|Ext.
Reported Trait: Cumulative event of repeat revascularization following percutaneous coronary intervention HR: 1.65 [1.11, 2.46] Body mass index, hypertension, current smoking, diabetes mellitus, hypercholesterolemia, family history of coronary artery disease
PPM020268 PGS000013
(GPS_CAD)
PSS011315|
East Asian Ancestry|
901 individuals
PGP000534 |
Bhak Y et al. PLoS One (2021)
|Ext.
Reported Trait: Early onset acute myocardial infarction following percutaneous coronary intervention AUROC: 0.92 [0.9, 0.94] Current smoking, hypercholesterolemia, body mass index, hypertension, family history of coronary artery disease, diabetes mellitus significant contribution of the PRS to the risk factor model p=0.015
PPM020713 PGS000013
(GPS_CAD)
PSS011380|
European Ancestry|
1,863 individuals
PGP000568 |
Khan SS et al. Circulation (2022)
|Ext.
Reported Trait: Incident coronary heart diseaase HR: 1.82 [1.56, 2.12] 30-year traditional risk factor score linear predictor
PPM020714 PGS000013
(GPS_CAD)
PSS011379|
European Ancestry|
2,154 individuals
PGP000568 |
Khan SS et al. Circulation (2022)
|Ext.
Reported Trait: Incident coronary heart diseaase HR: 1.6 [1.43, 1.79] 30-year traditional risk factor score linear predictor
PPM020715 PGS000013
(GPS_CAD)
PSS011378|
European Ancestry|
5,740 individuals
PGP000568 |
Khan SS et al. Circulation (2022)
|Ext.
Reported Trait: Incident coronary heart diseaase HR: 1.16 [1.09, 1.23] 30-year traditional risk factor score linear predictor
PPM020716 PGS000013
(GPS_CAD)
PSS011380|
European Ancestry|
1,863 individuals
PGP000568 |
Khan SS et al. Circulation (2022)
|Ext.
Reported Trait: Incident coronary heart diseaase HR: 1.98 [1.7, 2.3] C-index: 0.73 Age, sex
PPM020717 PGS000013
(GPS_CAD)
PSS011379|
European Ancestry|
2,154 individuals
PGP000568 |
Khan SS et al. Circulation (2022)
|Ext.
Reported Trait: Incident coronary heart diseaase HR: 1.64 [1.47, 1.84] C-index: 0.66 Age, sex
PPM020718 PGS000013
(GPS_CAD)
PSS011378|
European Ancestry|
5,740 individuals
PGP000568 |
Khan SS et al. Circulation (2022)
|Ext.
Reported Trait: Incident coronary heart diseaase HR: 1.22 [1.15, 1.3] C-index: 0.66 Age, sex
PPM000385 PGS000016
(GPS_AF)
PSS000217|
European Ancestry|
10,303 individuals
PGP000057 |
Homburger JR et al. Genome Med (2019)
|Ext.
Reported Trait: Atrial Fibrillation (personal history) OR: 1.277 [1.12, 1.46] AUROC: 0.78 age, sex
PPM000025 PGS000016
(GPS_AF)
PSS000013|
European Ancestry|
288,978 individuals
PGP000006 |
Khera AV et al. Nat Genet (2018)
Reported Trait: Atrial fibrillation AUROC: 0.77 [0.76, 0.77] Nagelkerke’s R2 (estimate of variance explained by the PGS after covariate adjustment): 0.029 age; sex; Ancestry PC 1-4; genotyping chip
PPM000389 PGS000016
(GPS_AF)
PSS000217|
European Ancestry|
10,303 individuals
PGP000057 |
Homburger JR et al. Genome Med (2019)
|Ext.
Reported Trait: Atrial Fibrillation (personal history) AUROC: 0.57
PPM002019 PGS000016
(GPS_AF)
PSS000998|
Ancestry Not Reported|
368 individuals
PGP000182 |
Tadros R et al. Nat Genet (2021)
|Ext.
Reported Trait: Atrial fibrillation or atrial flutter in individuals with a pathogenic or likely pathogenic sarcomeric variant HR: 1.5 [1.17, 1.91]
β: 0.402 (0.124)
Genetic relatedness matrix, sex
PPM014988 PGS000016
(GPS_AF)
PSS009946|
European Ancestry|
36,662 individuals
PGP000368 |
Marston NA et al. Eur Heart J (2022)
|Ext.
Reported Trait: Atrial fibrillation HR: 1.4 [1.32, 1.49]
PPM014989 PGS000016
(GPS_AF)
PSS009947|
Multi-ancestry (excluding European)|
4,873 individuals
PGP000368 |
Marston NA et al. Eur Heart J (2022)
|Ext.
Reported Trait: Atrial fibrillation HR: 2.15 [1.57, 2.95]
PPM015520 PGS000016
(GPS_AF)
PSS009971|
Multi-ancestry (including European)|
36,422 individuals
PGP000381 |
Hao L et al. Nat Med (2022)
|Ext.
Reported Trait: Atrial fibrillation OR: 2.37 [2.12, 2.64] 4 genetic PCs
PPM020706 PGS000016
(GPS_AF)
PSS011375|
Multi-ancestry (including European)|
95 individuals
PGP000565 |
Al-Kaisey A et al. Heart Rhythm (2023)
|Ext.
Reported Trait: Complex signals on electrogram beta (PRS above mean vs PRS below mean): 0.24 Age, sex, persistent atrial fibrillation, atrial fibrillation duration
PPM020704 PGS000016
(GPS_AF)
PSS011375|
Multi-ancestry (including European)|
95 individuals
PGP000565 |
Al-Kaisey A et al. Heart Rhythm (2023)
|Ext.
Reported Trait: Arrhythmia-free survival following catheter ablation Hazard ratio (HR, PRS above mean vs PRS below mean): 1.8 [0.9, 3.3]
PPM020705 PGS000016
(GPS_AF)
PSS011375|
Multi-ancestry (including European)|
95 individuals
PGP000565 |
Al-Kaisey A et al. Heart Rhythm (2023)
|Ext.
Reported Trait: Left atrial conduction heterogeneity on electrogram beta (PRS above mean vs PRS below mean): 0.26 [0.02, 0.55] Age, sex, persistent atrial fibrillation, atrial fibrillation duration
PPM000027 PGS000018
(metaGRS_CAD)
PSS000018|
Multi-ancestry (including European)|
482,629 individuals
PGP000007 |
Inouye M et al. J Am Coll Cardiol (2018)
Reported Trait: Incident coronary artery disease HR: 1.706 [1.682, 1.73] AUROC: 0.79
C-index: 0.623 [0.615, 0.631]
AUPRC: 0.161 sex, genetic PCs (1-10), genotyping array age-as-time-scale Cox regression
PPM000597 PGS000018
(metaGRS_CAD)
PSS000336|
Hispanic or Latin American Ancestry|
2,194 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Incident coronary heart disease HR: 1.53 [1.23, 1.9] C-index: 0.683 sex, eMERGE site, first five ancestry-specific principal components Age-as-time-scale Cox regression
PPM000594 PGS000018
(metaGRS_CAD)
PSS000332|
African Ancestry|
7,070 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Incident coronary heart disease HR: 1.27 [1.13, 1.43] C-index: 0.663 sex, eMERGE site, first five ancestry-specific principal components Age-as-time-scale Cox regression
PPM000591 PGS000018
(metaGRS_CAD)
PSS000334|
European Ancestry|
39,758 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Incident coronary heart disease HR: 1.53 [1.46, 1.6] C-index: 0.719 sex, eMERGE site, first five ancestry-specific principal components Age-as-time-scale Cox regression
PPM000616 PGS000018
(metaGRS_CAD)
PSS000334|
European Ancestry|
39,758 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Incident coronary heart disease HR: 1.49 [1.43, 1.56] C-index: 0.75 sex, eMERGE site, diabetes, hypertension, hyperlipidemia, statin use, first 5 ancestry-specific principal components Age-as-time-scale Cox regression
PPM000620 PGS000018
(metaGRS_CAD)
PSS000332|
African Ancestry|
7,070 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Incident coronary heart disease HR: 1.25 [1.12, 1.41] C-index: 0.723 sex, eMERGE site, diabetes, hypertension, hyperlipidemia, statin use, first 5 ancestry-specific principal components Age-as-time-scale Cox regression
PPM000624 PGS000018
(metaGRS_CAD)
PSS000336|
Hispanic or Latin American Ancestry|
2,194 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Incident coronary heart disease HR: 1.5 [1.21, 1.87] C-index: 0.725 sex, eMERGE site, diabetes, hypertension, hyperlipidemia, statin use, first 5 ancestry-specific principal components Age-as-time-scale Cox regression
PPM001666 PGS000018
(metaGRS_CAD)
PSS000868|
European Ancestry|
3,087 individuals
PGP000137 |
Ritchie SC et al. Nat Metab (2021)
|Ext.
Reported Trait: Incident myocardial infarction HR: 2.89 [1.66, 5.04] age, sex, 10 genetic PCs
PPM001845 PGS000018
(metaGRS_CAD)
PSS000929|
European Ancestry|
5,581 individuals
PGP000152 |
Gola D et al. Circ Genom Precis Med (2020)
|Ext.
Reported Trait: Coronary artery disease AUROC: 0.5015 [0.483, 0.514] Area under the Precision-Recall curve (AUPRC): 0.5205 [0.5201, 0.521]
PPM001846 PGS000018
(metaGRS_CAD)
PSS000930|
European Ancestry|
27,048 individuals
PGP000152 |
Gola D et al. Circ Genom Precis Med (2020)
|Ext.
Reported Trait: Coronary artery disease AUROC: 0.6597 [0.6405, 0.6789] Area under the Precision-Recall curve (AUPRC): 0.0673 [0.0668, 0.0679]
PPM000034 PGS000018
(metaGRS_CAD)
PSS000021|
European Ancestry|
1,964 individuals
PGP000008 |
Wünnemann F et al. Circ Genom Precis Med (2019)
|Ext.
Reported Trait: Coronary artery disease (prevalent) OR: 1.74 [1.57, 1.93] AUROC: 0.72 [0.7, 0.75] age, sex, first four genetic PCs
PPM000035 PGS000018
(metaGRS_CAD)
PSS000022|
European Ancestry|
3,309 individuals
PGP000008 |
Wünnemann F et al. Circ Genom Precis Med (2019)
|Ext.
Reported Trait: Coronary artery disease (prevalent) OR: 1.6 [1.43, 1.8] AUROC: 0.89 [0.88, 0.91] age, sex, first four genetic PCs
PPM000036 PGS000018
(metaGRS_CAD)
PSS000019|
European Ancestry|
5,762 individuals
PGP000008 |
Wünnemann F et al. Circ Genom Precis Med (2019)
|Ext.
Reported Trait: Coronary artery disease (prevalent) OR: 1.75 [1.49, 2.05] AUROC: 0.84 [0.81, 0.87] age, sex, first four genetic PCs, cohort recruitment centre
PPM000037 PGS000018
(metaGRS_CAD)
PSS000020|
European Ancestry|
3,195 individuals
PGP000008 |
Wünnemann F et al. Circ Genom Precis Med (2019)
|Ext.
Reported Trait: Reccurent coronary artery disease events OR: 1.17 [1.08, 1.26] age, sex, first four genetic PCs
PPM000518 PGS000018
(metaGRS_CAD)
PSS000287|
European Ancestry|
1,319 individuals
PGP000077 |
Timmerman N et al. medRxiv (2019)
|Ext.|Pre
Reported Trait: Plaque vulnerability score β: 0.07 [0.003, 0.137] Age, sex, surgery year, type of cerebrovascular symptoms, array, 4 genetic PCs
PPM000517 PGS000018
(metaGRS_CAD)
PSS000287|
European Ancestry|
1,319 individuals
PGP000077 |
Timmerman N et al. medRxiv (2019)
|Ext.|Pre
Reported Trait: Microvessels β: 0.037 [-0.006, 0.08] Age, sex, surgery year, type of cerebrovascular symptoms, array, 4 genetic PCs
PPM000516 PGS000018
(metaGRS_CAD)
PSS000287|
European Ancestry|
1,319 individuals
PGP000077 |
Timmerman N et al. medRxiv (2019)
|Ext.|Pre
Reported Trait: Number of smoooth muscle cells β: -0.004 [-0.038, 0.031] Age, sex, surgery year, type of cerebrovascular symptoms, array, 4 genetic PCs
PPM000515 PGS000018
(metaGRS_CAD)
PSS000287|
European Ancestry|
1,319 individuals
PGP000077 |
Timmerman N et al. medRxiv (2019)
|Ext.|Pre
Reported Trait: Number of macrophages β: 0.01 [-0.015, 0.036] Age, sex, surgery year, type of cerebrovascular symptoms, array, 4 genetic PCs
PPM000514 PGS000018
(metaGRS_CAD)
PSS000287|
European Ancestry|
1,319 individuals
PGP000077 |
Timmerman N et al. medRxiv (2019)
|Ext.|Pre
Reported Trait: Moderate/heavy macrophages OR: 1.103 [0.983, 1.237] Age, sex, surgery year, type of cerebrovascular symptoms, array, 4 genetic PCs
PPM000513 PGS000018
(metaGRS_CAD)
PSS000287|
European Ancestry|
1,319 individuals
PGP000077 |
Timmerman N et al. medRxiv (2019)
|Ext.|Pre
Reported Trait: Moderate/heavy smooth muscle cells OR: 1.004 [0.88, 1.145] Age, sex, surgery year, type of cerebrovascular symptoms, array, 4 genetic PCs
PPM000512 PGS000018
(metaGRS_CAD)
PSS000287|
European Ancestry|
1,319 individuals
PGP000077 |
Timmerman N et al. medRxiv (2019)
|Ext.|Pre
Reported Trait: Presence of IPH OR: 1.126 [0.999, 1.27] Age, sex, surgery year, type of cerebrovascular symptoms, array, 4 genetic PCs
PPM000511 PGS000018
(metaGRS_CAD)
PSS000287|
European Ancestry|
1,319 individuals
PGP000077 |
Timmerman N et al. medRxiv (2019)
|Ext.|Pre
Reported Trait: Presence of lipid core >10% OR: 1.171 [1.026, 1.337] Age, sex, surgery year, type of cerebrovascular symptoms, array, 4 genetic PCs
PPM000510 PGS000018
(metaGRS_CAD)
PSS000287|
European Ancestry|
1,319 individuals
PGP000077 |
Timmerman N et al. medRxiv (2019)
|Ext.|Pre
Reported Trait: Moderate/heavy collagen OR: 1.064 [0.919, 1.231] Age, sex, surgery year, type of cerebrovascular symptoms, array, 4 genetic PCs
PPM000509 PGS000018
(metaGRS_CAD)
PSS000287|
European Ancestry|
1,319 individuals
PGP000077 |
Timmerman N et al. medRxiv (2019)
|Ext.|Pre
Reported Trait: Moderate/heavy calficiations OR: 0.94 [0.826, 1.07] Age, sex, surgery year, type of cerebrovascular symptoms, array, 4 genetic PCs
PPM000508 PGS000018
(metaGRS_CAD)
PSS000287|
European Ancestry|
1,319 individuals
PGP000077 |
Timmerman N et al. medRxiv (2019)
|Ext.|Pre
Reported Trait: Plaque vulnerability score OR: 0.198 [0.003, 0.364] Age, sex, surgery year, type of cerebrovascular symptoms, array, 4 genetic PCs
PPM000507 PGS000018
(metaGRS_CAD)
PSS000287|
European Ancestry|
1,319 individuals
PGP000077 |
Timmerman N et al. medRxiv (2019)
|Ext.|Pre
Reported Trait: Microvessels Beta (top 20% vs. rest): 0.072 [-0.037, 0.182] Age, sex, surgery year, type of cerebrovascular symptoms, array, 4 genetic PCs
PPM000506 PGS000018
(metaGRS_CAD)
PSS000287|
European Ancestry|
1,319 individuals
PGP000077 |
Timmerman N et al. medRxiv (2019)
|Ext.|Pre
Reported Trait: Number of smoooth muscle cells Beta (top 20% vs. rest): -0.056 [-0.143, 0.031] Age, sex, surgery year, type of cerebrovascular symptoms, array, 4 genetic PCs
PPM000505 PGS000018
(metaGRS_CAD)
PSS000287|
European Ancestry|
1,319 individuals
PGP000077 |
Timmerman N et al. medRxiv (2019)
|Ext.|Pre
Reported Trait: Number of macrophages Beta (top 20% vs. rest): 0.55 [-0.012, 0.121] Age, sex, surgery year, type of cerebrovascular symptoms, array, 4 genetic PCs
PPM000504 PGS000018
(metaGRS_CAD)
PSS000287|
European Ancestry|
1,319 individuals
PGP000077 |
Timmerman N et al. medRxiv (2019)
|Ext.|Pre
Reported Trait: Moderate/heavy macrophages Odds Ratio (OR; top 20% vs. rest): 1.49 [1.118, 1.986] Age, sex, surgery year, type of cerebrovascular symptoms, array, 4 genetic PCs
PPM000503 PGS000018
(metaGRS_CAD)
PSS000287|
European Ancestry|
1,319 individuals
PGP000077 |
Timmerman N et al. medRxiv (2019)
|Ext.|Pre
Reported Trait: Moderate/heavy smooth muscle cells Odds Ratio (OR; top 20% vs. rest): 0.908 [0.652, 1.265] Age, sex, surgery year, type of cerebrovascular symptoms, array, 4 genetic PCs
PPM000502 PGS000018
(metaGRS_CAD)
PSS000287|
European Ancestry|
1,319 individuals
PGP000077 |
Timmerman N et al. medRxiv (2019)
|Ext.|Pre
Reported Trait: Presence of IPH Odds Ratio (OR; top 20% vs. rest): 1.112 [0.821, 1.506] Age, sex, surgery year, type of cerebrovascular symptoms, array, 4 genetic PCs
PPM000501 PGS000018
(metaGRS_CAD)
PSS000287|
European Ancestry|
1,319 individuals
PGP000077 |
Timmerman N et al. medRxiv (2019)
|Ext.|Pre
Reported Trait: Presence of lipid core >10% Odds Ratio (OR; top 20% vs. rest): 1.591 [1.105, 2.291] Age, sex, surgery year, type of cerebrovascular symptoms, array, 4 genetic PCs
PPM000500 PGS000018
(metaGRS_CAD)
PSS000287|
European Ancestry|
1,319 individuals
PGP000077 |
Timmerman N et al. medRxiv (2019)
|Ext.|Pre
Reported Trait: Moderate/heavy collagen Odds Ratio (OR; top 20% vs. rest): 1.091 [0.755, 1.577] Age, sex, surgery year, type of cerebrovascular symptoms, array, 4 genetic PCs
PPM000499 PGS000018
(metaGRS_CAD)
PSS000287|
European Ancestry|
1,319 individuals
PGP000077 |
Timmerman N et al. medRxiv (2019)
|Ext.|Pre
Reported Trait: Moderate/heavy calficiations Odds Ratio (OR; top 20% vs. rest): 1.001 [0.754, 1.33] Age, sex, surgery year, type of cerebrovascular symptoms, array, 4 genetic PCs
PPM000498 PGS000018
(metaGRS_CAD)
PSS000287|
European Ancestry|
1,319 individuals
PGP000077 |
Timmerman N et al. medRxiv (2019)
|Ext.|Pre
Reported Trait: Secondary cardiovascular events HR: 1.15 [1.02, 1.29] Age, sex, diabetes, BMI, smoking, hypercholesterolemia, array, 4 genetics PCs
PPM000603 PGS000018
(metaGRS_CAD)
PSS000331|
African Ancestry|
7,597 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Coronary heart disease (incident and prevalent) OR: 1.4 [1.3, 1.52] AUROC: 0.775 age at first EHR record, duration of EHR, sex, eMERGE site, first five ancestry-specific principal components
PPM000600 PGS000018
(metaGRS_CAD)
PSS000333|
European Ancestry|
45,645 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Coronary heart disease (incident and prevalent) OR: 1.73 [1.68, 1.78] AUROC: 0.772 age at first EHR record, duration of EHR, sex, eMERGE site, first five ancestry-specific principal components
PPM000606 PGS000018
(metaGRS_CAD)
PSS000335|
Hispanic or Latin American Ancestry|
2,493 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Coronary heart disease (incident and prevalent) OR: 1.93 [1.67, 2.22] AUROC: 0.794 age at first EHR record, duration of EHR, sex, eMERGE site, first five ancestry-specific principal components
PPM001847 PGS000018
(metaGRS_CAD)
PSS000931|
European Ancestry|
431,814 individuals
PGP000152 |
Gola D et al. Circ Genom Precis Med (2020)
|Ext.
Reported Trait: Coronary artery disease AUROC: 0.6377 [0.6339, 0.6416] Area under the Precision-Recall curve (AUPRC): 0.0832 [0.083, 0.0835] May be an overlap between score development and testing sample
PPM005152 PGS000018
(metaGRS_CAD)
PSS003597|
Multi-ancestry (including European)|
12,413 individuals
PGP000248 |
Liou L et al. Breast Cancer Res (2021)
|Ext.
Reported Trait: Incident coronary artery disease survival in individuals with breast cancer HR: 1.36 [1.23, 1.5] Age SNPs with imputation quality scores of less than 0.3 and ambiguous strand SNPs (A/T and G/C pairs) were excluded from PGS000018.
PPM005153 PGS000018
(metaGRS_CAD)
PSS003596|
European Ancestry|
8,946 individuals
PGP000248 |
Liou L et al. Breast Cancer Res (2021)
|Ext.
Reported Trait: Incident coronary artery disease in individuals with breast cancer HR: 1.36 [1.23, 1.51] Age at diagnosis, genotype array, PCs(1-8) SNPs with imputation quality scores of less than 0.3 and ambiguous strand SNPs (A/T and G/C pairs) were excluded from PGS000018.
PPM005154 PGS000018
(metaGRS_CAD)
PSS003596|
European Ancestry|
8,946 individuals
PGP000248 |
Liou L et al. Breast Cancer Res (2021)
|Ext.
Reported Trait: Incident coronary artery disease in individuals with breast cancer HR: 1.34 [1.21, 1.49] Age at diagnosis, genotype array, PCs(1-8), body mass index, smoking SNPs with imputation quality scores of less than 0.3 and ambiguous strand SNPs (A/T and G/C pairs) were excluded from PGS000018.
PPM005155 PGS000018
(metaGRS_CAD)
PSS003596|
European Ancestry|
8,946 individuals
PGP000248 |
Liou L et al. Breast Cancer Res (2021)
|Ext.
Reported Trait: Incident coronary artery disease in individuals with breast cancer HR: 1.34 [1.21, 1.48] Age at diagnosis, genotype array, PCs(1-8), body mass index, smoking, sociodemographic variables SNPs with imputation quality scores of less than 0.3 and ambiguous strand SNPs (A/T and G/C pairs) were excluded from PGS000018.
PPM005156 PGS000018
(metaGRS_CAD)
PSS003596|
European Ancestry|
8,946 individuals
PGP000248 |
Liou L et al. Breast Cancer Res (2021)
|Ext.
Reported Trait: Incident coronary artery disease in individuals with breast cancer HR: 1.33 [1.2, 1.48] Age at diagnosis, genotype array, PCs(1-8), body mass index, smoking, sociodemographic variables, medical variables SNPs with imputation quality scores of less than 0.3 and ambiguous strand SNPs (A/T and G/C pairs) were excluded from PGS000018.
PPM005157 PGS000018
(metaGRS_CAD)
PSS003596|
European Ancestry|
8,946 individuals
PGP000248 |
Liou L et al. Breast Cancer Res (2021)
|Ext.
Reported Trait: Incident coronary artery disease in individuals with breast cancer HR: 1.33 [1.2, 1.47] Age at diagnosis, genotype array, PCs(1-8), body mass index, smoking, sociodemographic variables, medical variables, oncotherapies SNPs with imputation quality scores of less than 0.3 and ambiguous strand SNPs (A/T and G/C pairs) were excluded from PGS000018.
PPM015480 PGS000018
(metaGRS_CAD)
PSS009958|
European Ancestry|
21,863 individuals
PGP000372 |
Clarke SL et al. Commun Med (Lond) (2022)
|Ext.
Reported Trait: Uterine cancer death HR: 0.68 [0.46, 1.0]
PPM015451 PGS000018
(metaGRS_CAD)
PSS009958|
European Ancestry|
21,863 individuals
PGP000372 |
Clarke SL et al. Commun Med (Lond) (2022)
|Ext.
Reported Trait: Self-reported hypertension OR: 1.2 [1.16, 1.24]
PPM015478 PGS000018
(metaGRS_CAD)
PSS009958|
European Ancestry|
21,863 individuals
PGP000372 |
Clarke SL et al. Commun Med (Lond) (2022)
|Ext.
Reported Trait: Brain cancer death HR: 0.71 [0.52, 0.97]
PPM015479 PGS000018
(metaGRS_CAD)
PSS009958|
European Ancestry|
21,863 individuals
PGP000372 |
Clarke SL et al. Commun Med (Lond) (2022)
|Ext.
Reported Trait: Pneumonia death HR: 1.14 [1.0, 1.3]
PPM017200 PGS000018
(metaGRS_CAD)
PSS010162|
European Ancestry|
292,438 individuals
PGP000446 |
Tcheandjieu C et al. Nat Med (2022)
|Ext.
Reported Trait: Acute myocardial infarction or revascularization OR: 1.54 [1.52, 1.56] age, sex, genotyping batch and top 10 genotype-based PCs
PPM017201 PGS000018
(metaGRS_CAD)
PSS010161|
Hispanic or Latin American Ancestry|
30,648 individuals
PGP000446 |
Tcheandjieu C et al. Nat Med (2022)
|Ext.
Reported Trait: Acute myocardial infarction or revascularization OR: 1.62 [1.54, 1.71] age, sex, genotyping batch and top 10 genotype-based PCs
PPM017202 PGS000018
(metaGRS_CAD)
PSS010160|
African Ancestry|
76,709 individuals
PGP000446 |
Tcheandjieu C et al. Nat Med (2022)
|Ext.
Reported Trait: Acute myocardial infarction or revascularization OR: 1.2 [1.17, 1.2] age, sex, genotyping batch and top 10 genotype-based PCs
PPM017203 PGS000018
(metaGRS_CAD)
PSS010162|
European Ancestry|
292,438 individuals
PGP000446 |
Tcheandjieu C et al. Nat Med (2022)
|Ext.
Reported Trait: Coronary artery disease OR: 1.38 [1.36, 1.39] age, sex, genotyping batch and top 10 genotype-based PCs
PPM017204 PGS000018
(metaGRS_CAD)
PSS010161|
Hispanic or Latin American Ancestry|
30,648 individuals
PGP000446 |
Tcheandjieu C et al. Nat Med (2022)
|Ext.
Reported Trait: Coronary artery disease OR: 1.39 [1.34, 1.43] age, sex, genotyping batch and top 10 genotype-based PCs
PPM017205 PGS000018
(metaGRS_CAD)
PSS010160|
African Ancestry|
76,709 individuals
PGP000446 |
Tcheandjieu C et al. Nat Med (2022)
|Ext.
Reported Trait: Coronary artery disease OR: 1.12 [1.1, 1.14] age, sex, genotyping batch and top 10 genotype-based PCs
PPM017206 PGS000018
(metaGRS_CAD)
PSS010162|
European Ancestry|
292,438 individuals
PGP000446 |
Tcheandjieu C et al. Nat Med (2022)
|Ext.
Reported Trait: Acute myocardial infarction or revascularization in incident coronary artery disease OR: 1.47 [1.44, 1.5] age, sex, genotyping batch and top 10 genotype-based PCs
PPM017207 PGS000018
(metaGRS_CAD)
PSS010161|
Hispanic or Latin American Ancestry|
30,648 individuals
PGP000446 |
Tcheandjieu C et al. Nat Med (2022)
|Ext.
Reported Trait: Acute myocardial infarction or revascularization in incident coronary artery disease OR: 1.5 [1.38, 1.63] age, sex, genotyping batch and top 10 genotype-based PCs
PPM017208 PGS000018
(metaGRS_CAD)
PSS010160|
African Ancestry|
76,709 individuals
PGP000446 |
Tcheandjieu C et al. Nat Med (2022)
|Ext.
Reported Trait: Acute myocardial infarction or revascularization in incident coronary artery disease OR: 1.17 [1.12, 1.22] age, sex, genotyping batch and top 10 genotype-based PCs
PPM017209 PGS000018
(metaGRS_CAD)
PSS010162|
European Ancestry|
292,438 individuals
PGP000446 |
Tcheandjieu C et al. Nat Med (2022)
|Ext.
Reported Trait: Incident coronary artery disease OR: 1.27 [1.25, 1.29] age, sex, genotyping batch and top 10 genotype-based PCs
PPM017210 PGS000018
(metaGRS_CAD)
PSS010161|
Hispanic or Latin American Ancestry|
30,648 individuals
PGP000446 |
Tcheandjieu C et al. Nat Med (2022)
|Ext.
Reported Trait: Incident coronary artery disease OR: 1.24 [1.17, 1.32] age, sex, genotyping batch and top 10 genotype-based PCs
PPM017211 PGS000018
(metaGRS_CAD)
PSS010160|
African Ancestry|
76,709 individuals
PGP000446 |
Tcheandjieu C et al. Nat Med (2022)
|Ext.
Reported Trait: Incident coronary artery disease OR: 1.1 [1.07, 1.14] age, sex, genotyping batch and top 10 genotype-based PCs
PPM015476 PGS000018
(metaGRS_CAD)
PSS009958|
European Ancestry|
21,863 individuals
PGP000372 |
Clarke SL et al. Commun Med (Lond) (2022)
|Ext.
Reported Trait: Cerebrovascular death HR: 1.11 [1.03, 1.2]
PPM015477 PGS000018
(metaGRS_CAD)
PSS009958|
European Ancestry|
21,863 individuals
PGP000372 |
Clarke SL et al. Commun Med (Lond) (2022)
|Ext.
Reported Trait: Dementia death HR: 1.11 [1.02, 1.21]
PPM015454 PGS000018
(metaGRS_CAD)
PSS009958|
European Ancestry|
21,863 individuals
PGP000372 |
Clarke SL et al. Commun Med (Lond) (2022)
|Ext.
Reported Trait: Self-reported family history of myocardial infarction OR: 1.16 [1.13, 1.2]
PPM015455 PGS000018
(metaGRS_CAD)
PSS009958|
European Ancestry|
21,863 individuals
PGP000372 |
Clarke SL et al. Commun Med (Lond) (2022)
|Ext.
Reported Trait: Self-reported family history of stroke OR: 1.07 [1.04, 1.11]
PPM015456 PGS000018
(metaGRS_CAD)
PSS009958|
European Ancestry|
21,863 individuals
PGP000372 |
Clarke SL et al. Commun Med (Lond) (2022)
|Ext.
Reported Trait: Self-reported history of breast cancer OR: 0.81 [0.69, 0.95]
PPM015457 PGS000018
(metaGRS_CAD)
PSS009958|
European Ancestry|
21,863 individuals
PGP000372 |
Clarke SL et al. Commun Med (Lond) (2022)
|Ext.
Reported Trait: Self-reported history of non-melanoma skin cancer OR: 0.93 [0.89, 0.98]
PPM015458 PGS000018
(metaGRS_CAD)
PSS009958|
European Ancestry|
21,863 individuals
PGP000372 |
Clarke SL et al. Commun Med (Lond) (2022)
|Ext.
Reported Trait: Self-reported family history of colon cancer OR: 0.95 [0.91, 0.99]
PPM015459 PGS000018
(metaGRS_CAD)
PSS009958|
European Ancestry|
21,863 individuals
PGP000372 |
Clarke SL et al. Commun Med (Lond) (2022)
|Ext.
Reported Trait: Self-reported history of colonoscopy OR: 0.96 [0.93, 0.99]
PPM015461 PGS000018
(metaGRS_CAD)
PSS009958|
European Ancestry|
21,863 individuals
PGP000372 |
Clarke SL et al. Commun Med (Lond) (2022)
|Ext.
Reported Trait: Incident PTCA OR: 1.53 [1.43, 1.63] Smoking status, self-reported diabetes at baseline, systolic blood pressure, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol
PPM015462 PGS000018
(metaGRS_CAD)
PSS009958|
European Ancestry|
21,863 individuals
PGP000372 |
Clarke SL et al. Commun Med (Lond) (2022)
|Ext.
Reported Trait: Incident myocardial infarction OR: 1.41 [1.32, 1.5] Smoking status, self-reported diabetes at baseline, systolic blood pressure, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol
PPM015463 PGS000018
(metaGRS_CAD)
PSS009958|
European Ancestry|
21,863 individuals
PGP000372 |
Clarke SL et al. Commun Med (Lond) (2022)
|Ext.
Reported Trait: Incident coronary heart disease OR: 1.31 [1.23, 1.38] Smoking status, self-reported diabetes at baseline, systolic blood pressure, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol
PPM015464 PGS000018
(metaGRS_CAD)
PSS009958|
European Ancestry|
21,863 individuals
PGP000372 |
Clarke SL et al. Commun Med (Lond) (2022)
|Ext.
Reported Trait: Incident CABG OR: 1.53 [1.39, 1.7] Smoking status, self-reported diabetes at baseline, systolic blood pressure, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol
PPM015465 PGS000018
(metaGRS_CAD)
PSS009958|
European Ancestry|
21,863 individuals
PGP000372 |
Clarke SL et al. Commun Med (Lond) (2022)
|Ext.
Reported Trait: Incident all angina OR: 1.38 [1.26, 1.51] Smoking status, self-reported diabetes at baseline, systolic blood pressure, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol
PPM015466 PGS000018
(metaGRS_CAD)
PSS009958|
European Ancestry|
21,863 individuals
PGP000372 |
Clarke SL et al. Commun Med (Lond) (2022)
|Ext.
Reported Trait: Incident ischemic stroke OR: 1.11 [1.04, 1.19] Smoking status, self-reported diabetes at baseline, systolic blood pressure, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol
PPM015467 PGS000018
(metaGRS_CAD)
PSS009958|
European Ancestry|
21,863 individuals
PGP000372 |
Clarke SL et al. Commun Med (Lond) (2022)
|Ext.
Reported Trait: Incident all stroke OR: 1.09 [1.03, 1.16] Smoking status, self-reported diabetes at baseline, systolic blood pressure, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol
PPM015468 PGS000018
(metaGRS_CAD)
PSS009958|
European Ancestry|
21,863 individuals
PGP000372 |
Clarke SL et al. Commun Med (Lond) (2022)
|Ext.
Reported Trait: Incident TIA OR: 1.21 [1.04, 1.41] Smoking status, self-reported diabetes at baseline, systolic blood pressure, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol
PPM015469 PGS000018
(metaGRS_CAD)
PSS009958|
European Ancestry|
21,863 individuals
PGP000372 |
Clarke SL et al. Commun Med (Lond) (2022)
|Ext.
Reported Trait: Incident peripheral artery disease OR: 1.16 [1.01, 1.32] Smoking status, self-reported diabetes at baseline, systolic blood pressure, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol
PPM015470 PGS000018
(metaGRS_CAD)
PSS009958|
European Ancestry|
21,863 individuals
PGP000372 |
Clarke SL et al. Commun Med (Lond) (2022)
|Ext.
Reported Trait: Incident carotid disease OR: 1.14 [1.0, 1.3] Smoking status, self-reported diabetes at baseline, systolic blood pressure, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol
PPM015471 PGS000018
(metaGRS_CAD)
PSS009958|
European Ancestry|
21,863 individuals
PGP000372 |
Clarke SL et al. Commun Med (Lond) (2022)
|Ext.
Reported Trait: Incident any cancer OR: 0.96 [0.93, 0.99] Smoking status, alcohol consumption, weekly physical activity, dietary health measured by the alternative healthy eating index, and BMI
PPM015472 PGS000018
(metaGRS_CAD)
PSS009958|
European Ancestry|
21,863 individuals
PGP000372 |
Clarke SL et al. Commun Med (Lond) (2022)
|Ext.
Reported Trait: Incident lung cancer OR: 0.91 [0.83, 0.99] Smoking status, alcohol consumption, weekly physical activity, dietary health measured by the alternative healthy eating index, and BMI
PPM015473 PGS000018
(metaGRS_CAD)
PSS009958|
European Ancestry|
21,863 individuals
PGP000372 |
Clarke SL et al. Commun Med (Lond) (2022)
|Ext.
Reported Trait: Incident breast cancer OR: 0.96 [0.92, 1.0] Smoking status, alcohol consumption, weekly physical activity, dietary health measured by the alternative healthy eating index, and BMI
PPM015474 PGS000018
(metaGRS_CAD)
PSS009958|
European Ancestry|
21,863 individuals
PGP000372 |
Clarke SL et al. Commun Med (Lond) (2022)
|Ext.
Reported Trait: Coronary heart disease death HR: 1.29 [1.16, 1.43]
PPM015475 PGS000018
(metaGRS_CAD)
PSS009958|
European Ancestry|
21,863 individuals
PGP000372 |
Clarke SL et al. Commun Med (Lond) (2022)
|Ext.
Reported Trait: Death of unknown cause HR: 1.28 [1.07, 1.54]
PPM015452 PGS000018
(metaGRS_CAD)
PSS009958|
European Ancestry|
21,863 individuals
PGP000372 |
Clarke SL et al. Commun Med (Lond) (2022)
|Ext.
Reported Trait: Self-reported hypercholesterolemia OR: 1.17 [1.12, 1.23]
PPM015453 PGS000018
(metaGRS_CAD)
PSS009958|
European Ancestry|
21,863 individuals
PGP000372 |
Clarke SL et al. Commun Med (Lond) (2022)
|Ext.
Reported Trait: Self-reported rheumatoid arthritis OR: 1.11 [1.03, 1.19]
PPM015460 PGS000018
(metaGRS_CAD)
PSS009958|
European Ancestry|
21,863 individuals
PGP000372 |
Clarke SL et al. Commun Med (Lond) (2022)
|Ext.
Reported Trait: Incident coronary revascularization OR: 1.54 [1.45, 1.63] Smoking status, self-reported diabetes at baseline, systolic blood pressure, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol
PPM015502 PGS000018
(metaGRS_CAD)
PSS009965|
European Ancestry|
836 individuals
PGP000378 |
Schoepf IC et al. Clin Infect Dis (2021)
|Ext.
Reported Trait: Coronary artery disease Odds Ratio (OR, fifth vs. first quintile): 3.17 [1.74, 5.79] Clinical risk factors
PPM015504 PGS000018
(metaGRS_CAD)
PSS009965|
European Ancestry|
836 individuals
PGP000378 |
Schoepf IC et al. Clin Infect Dis (2021)
|Ext.
Reported Trait: Coronary artery disease Odds Ratio (OR, fifth vs. first quintile): 3.67 [2.0, 6.73] Clinical risk factors, PRS_longetivity Combined as metaPRS
PPM015571 PGS000018
(metaGRS_CAD)
PSS009986|
Greater Middle Eastern Ancestry|
7,023 individuals
PGP000386 |
Saad M et al. Circ Genom Precis Med (2022)
|Ext.
Reported Trait: Coronary heart disease OR: 1.54 [1.43, 1.66] AUROC: 0.686 [0.667, 0.704]
PPM017084 PGS000018
(metaGRS_CAD)
PSS010120|
European Ancestry|
4,218 individuals
PGP000433 |
de La Harpe R et al. Eur J Prev Cardiol (2023)
|Ext.
Reported Trait: Atherosclerotic cardiovascular disease (incident and prevalent) OR: 1.36 [1.21, 1.52] AUROC: 0.772 [0.748, 0.796] sex, age
PPM017085 PGS000018
(metaGRS_CAD)
PSS010122|
European Ancestry|
4,218 individuals
PGP000433 |
de La Harpe R et al. Eur J Prev Cardiol (2023)
|Ext.
Reported Trait: Coronary heart disease (incident and prevalent) OR: 1.63 [1.45, 1.83] AUROC: 0.793 [0.77, 0.816] sex, age
PPM017086 PGS000018
(metaGRS_CAD)
PSS010119|
European Ancestry|
3,383 individuals
PGP000433 |
de La Harpe R et al. Eur J Prev Cardiol (2023)
|Ext.
Reported Trait: Incident atherosclerotic cardiovascular disease HR: 1.31 [1.13, 1.51] AUROC: 0.769 [0.734, 0.804]
C-index: 0.779 [0.746, 0.811]
sex, age, 10 principal components
PPM017087 PGS000018
(metaGRS_CAD)
PSS010121|
European Ancestry|
3,383 individuals
PGP000433 |
de La Harpe R et al. Eur J Prev Cardiol (2023)
|Ext.
Reported Trait: Incident coronary heart disease HR: 1.62 [1.43, 1.84] AUROC: 0.784 [0.757, 0.811]
C-index: 0.79 [0.764, 0.816]
sex, age, 10 principal components
PPM018467 PGS000018
(metaGRS_CAD)
PSS010981|
European Ancestry|
3,459 individuals
PGP000468 |
Hodel F et al. Elife (2023)
|Ext.
Reported Trait: Coronary heart disease HR: 1.32 [1.16, 1.51]
PPM000038 PGS000019
(GRS_CAD)
PSS000023|
European Ancestry|
725 individuals
PGP000009 |
Paquette M et al. J Clin Lipidol (2017)
Reported Trait: Coronary artery disease in familial hypercholesterolemia patients OR: 1.66 [1.06, 2.62] age, gender, prior statin use, smoking, diabetes, hypertension, BMI, LDL-C, HDL-C, TGs, Lp(a), and type of LDLR mutation Performance metrics are from Model 2 (adjusted for cardiovascular risk factors)
PPM000039 PGS000019
(GRS_CAD)
PSS000024|
European Ancestry|
725 individuals
PGP000009 |
Paquette M et al. J Clin Lipidol (2017)
Reported Trait: Coronary artery disease in familial hypercholesterolemia patients OR: 1.8 [1.14, 2.85] age, gender, prior statin use, smoking, diabetes, hypertension, BMI, LDL-C, HDL-C, TGs, Lp(a), and type of LDLR mutation Performance metrics are from Model 2 (adjusted for cardiovascular risk factors)
PPM000079 PGS000035
(PRS_AF)
PSS000053|
Multi-ancestry (including European)|
4,606 individuals
PGP000022 |
Weng LC et al. Circulation (2017)
Reported Trait: Incident atrial fibrillation HR: 1.14 [1.11, 1.16] Clinical risk (CHARGE-AF Score: height, weight, systolic and diastolic blood pressure, current smoking status, use of antihypertensive medication, diabetes mellitus, history of myocardial infarction and heart failure), age, sex, genotyping array, 1 PC of ancestry Unadjusted for Competing Risk of Death
PPM020775 PGS000035
(PRS_AF)
PSS011406|
Multi-ancestry (including European)|
473,681 individuals
PGP000586 |
Khurshid S et al. Circ Genom Precis Med (2021)
|Ext.
Reported Trait: Incident atrial fibrillation HR: 1.34 [1.31, 1.37] C-index: 0.584 [0.577, 0.59] : 0.004 [0.004, 0.005]
PPM020776 PGS000035
(PRS_AF)
PSS011404|
European Ancestry|
10,560 individuals
PGP000586 |
Khurshid S et al. Circ Genom Precis Med (2021)
|Ext.
Reported Trait: Incident atrial fibrillation HR: 1.48 [1.31, 1.66] C-index: 0.615 [0.579, 0.65] : 0.011 [0.004, 0.018]
PPM020777 PGS000035
(PRS_AF)
PSS011405|
Multi-ancestry (including European)|
55,517 individuals
PGP000586 |
Khurshid S et al. Circ Genom Precis Med (2021)
|Ext.
Reported Trait: Incident atrial fibrillation HR: 1.28 [1.21, 1.35] C-index: 0.569 [0.554, 0.584] : 0.003 [0.002, 0.005]
PPM020778 PGS000035
(PRS_AF)
PSS011403|
Multi-ancestry (including European)|
3,335 individuals
PGP000586 |
Khurshid S et al. Circ Genom Precis Med (2021)
|Ext.
Reported Trait: Incident atrial fibrillation HR: 1.49 [1.3, 1.71] C-index: 0.617 [0.574, 0.66] : 0.016 [0.004, 0.027]
PPM000144 PGS000057
(CHD57)
PSS000091|
Ancestry Not Reported|
2,440 individuals
PGP000042 |
Natarajan P et al. Circulation (2017)
Reported Trait: Coronary heart disease (incident) HR (highest vs. lowest quintile of PGS): 1.66 [1.21, 2.29] age, sex, diabetes meliitus status, smoking status, LDL cholesterol, HDL cholesterol, systolic blood pressure, antihypertensive medication status, family history of CHD
PPM000145 PGS000057
(CHD57)
PSS000090|
Ancestry Not Reported|
1,154 individuals
PGP000042 |
Natarajan P et al. Circulation (2017)
Reported Trait: Coronary artery calcification OR: 1.32 [1.04, 1.68] OR (highest vs. lowest quintile of PGS): 2.51 [1.08, 5.85] age, sex, diabetes meliitus status, smoking status, LDL cholesterol, HDL cholesterol, systolic blood pressure, antihypertensive medication status, family history of CHD
PPM000146 PGS000057
(CHD57)
PSS000089|
Ancestry Not Reported|
4,392 individuals
PGP000042 |
Natarajan P et al. Circulation (2017)
Reported Trait: Carotid artery plaque burden β: 1.097 [1.022, 1.178] age, sex, diabetes meliitus status, smoking status, LDL cholesterol, HDL cholesterol, systolic blood pressure, antihypertensive medication status, family history of CHD
PPM000147 PGS000058
(CAD_GRS_204)
PSS000092|
European Ancestry|
5,360 individuals
PGP000043 |
Morieri ML et al. Diabetes Care (2018)
Reported Trait: Major coronary events (MCE) events among Type 2 Diabetes patients HR: 1.27 [1.18, 1.37] age, sex, ACCORD study covariates (randomized treament assignement, clinical network, genotyping platform, PCs of genetic ancestry)
PPM000148 PGS000058
(CAD_GRS_204)
PSS000093|
European Ancestry|
1,931 individuals
PGP000043 |
Morieri ML et al. Diabetes Care (2018)
Reported Trait: Major coronary events (MCE) events among Type 2 Diabetes patients HR: 1.35 [1.16, 1.58] age, sex, ORIGIN study covariates (randomized treament assignement, PCs of genetic ancestry)
PPM000150 PGS000059
(CHD46)
PSS000094|
European Ancestry|
1,320 individuals
PGP000044 |
Hajek C et al. Circ Genom Precis Med (2018)
Reported Trait: Incident coronary heart disease HR (top vs. bottom quartiles of GRS): 0.76 [0.41, 1.39]
p-value (association between risk and incidence): 0.31
NR
PPM000149 PGS000059
(CHD46)
PSS000095|
European Ancestry|
1,206 individuals
PGP000044 |
Hajek C et al. Circ Genom Precis Med (2018)
Reported Trait: Incident coronary heart disease HR (top vs. bottom quartiles of GRS): 1.92 [1.19, 3.11]
p-value (association between risk and incidence): 0.029
NR
PPM000836 PGS000116
(CAD_EJ2020)
PSS000401|
Multi-ancestry (including European)|
350,730 individuals
PGP000054 |
Elliott J et al. JAMA (2020)
Reported Trait: Incident coronary artery disease C-index: 0.74 [0.73, 0.75] QRISK3
PPM000837 PGS000116
(CAD_EJ2020)
PSS000389|
Multi-ancestry (including European)|
203,620 individuals
PGP000054 |
Elliott J et al. JAMA (2020)
Reported Trait: Incident coronary artery disease (over age 55) C-index: 0.75 [0.74, 0.76] QRISK3
PPM000838 PGS000116
(CAD_EJ2020)
PSS000385|
Multi-ancestry (including European)|
147,110 individuals
PGP000054 |
Elliott J et al. JAMA (2020)
Reported Trait: Incident coronary artery disease (under age 55) C-index: 0.83 [0.81, 0.84] QRISK3
PPM000839 PGS000116
(CAD_EJ2020)
PSS000393|
Multi-ancestry (including European)|
146,573 individuals
PGP000054 |
Elliott J et al. JAMA (2020)
Reported Trait: Incident coronary artery disease (in males) C-index: 0.73 [0.72, 0.74] QRISK3
PPM000840 PGS000116
(CAD_EJ2020)
PSS000397|
Multi-ancestry (including European)|
204,157 individuals
PGP000054 |
Elliott J et al. JAMA (2020)
Reported Trait: Incident coronary artery disease (in females) C-index: 0.78 [0.76, 0.79] QRISK3
PPM000807 PGS000116
(CAD_EJ2020)
PSS000399|
Multi-ancestry (including European)|
352,660 individuals
PGP000054 |
Elliott J et al. JAMA (2020)
Reported Trait: Incident coronary artery disease C-index: 0.76 [0.75, 0.76] age,sex
PPM000808 PGS000116
(CAD_EJ2020)
PSS000399|
Multi-ancestry (including European)|
352,660 individuals
PGP000054 |
Elliott J et al. JAMA (2020)
Reported Trait: Incident coronary artery disease C-index: 0.78 [0.77, 0.79] pooled cohort equations
PPM000810 PGS000116
(CAD_EJ2020)
PSS000387|
Multi-ancestry (including European)|
204,675 individuals
PGP000054 |
Elliott J et al. JAMA (2020)
Reported Trait: Incident coronary artery disease (over age 55) C-index: 0.71 [0.7, 0.72] age,sex
PPM000811 PGS000116
(CAD_EJ2020)
PSS000387|
Multi-ancestry (including European)|
204,675 individuals
PGP000054 |
Elliott J et al. JAMA (2020)
Reported Trait: Incident coronary artery disease (over age 55) C-index: 0.74 [0.73, 0.74] pooled cohort equations
PPM000813 PGS000116
(CAD_EJ2020)
PSS000383|
Multi-ancestry (including European)|
147,985 individuals
PGP000054 |
Elliott J et al. JAMA (2020)
Reported Trait: Incident coronary artery disease (under age 55) C-index: 0.76 [0.75, 0.78] age,sex
PPM000814 PGS000116
(CAD_EJ2020)
PSS000383|
Multi-ancestry (including European)|
147,985 individuals
PGP000054 |
Elliott J et al. JAMA (2020)
Reported Trait: Incident coronary artery disease (under age 55) C-index: 0.8 [0.79, 0.82] pooled cohort equations
PPM000816 PGS000116
(CAD_EJ2020)
PSS000391|
Multi-ancestry (including European)|
147,363 individuals
PGP000054 |
Elliott J et al. JAMA (2020)
Reported Trait: Incident coronary artery disease (in males) C-index: 0.68 [0.67, 0.69] age,sex
PPM000817 PGS000116
(CAD_EJ2020)
PSS000391|
Multi-ancestry (including European)|
147,363 individuals
PGP000054 |
Elliott J et al. JAMA (2020)
Reported Trait: Incident coronary artery disease (in males) C-index: 0.71 [0.7, 0.72] pooled cohort equations
PPM000819 PGS000116
(CAD_EJ2020)
PSS000395|
Multi-ancestry (including European)|
205,297 individuals
PGP000054 |
Elliott J et al. JAMA (2020)
Reported Trait: Incident coronary artery disease (in females) C-index: 0.71 [0.7, 0.73] age,sex
PPM000820 PGS000116
(CAD_EJ2020)
PSS000395|
Multi-ancestry (including European)|
205,297 individuals
PGP000054 |
Elliott J et al. JAMA (2020)
Reported Trait: Incident coronary artery disease (in females) C-index: 0.76 [0.74, 0.77] pooled cohort equations
PPM000806 PGS000116
(CAD_EJ2020)
PSS000399|
Multi-ancestry (including European)|
352,660 individuals
PGP000054 |
Elliott J et al. JAMA (2020)
Reported Trait: Incident coronary artery disease HR: 1.32 [1.3, 1.34] C-index: 0.61 [0.6, 0.62]
PPM000809 PGS000116
(CAD_EJ2020)
PSS000387|
Multi-ancestry (including European)|
204,675 individuals
PGP000054 |
Elliott J et al. JAMA (2020)
Reported Trait: Incident coronary artery disease (over age 55) C-index: 0.6 [0.59, 0.61]
PPM000812 PGS000116
(CAD_EJ2020)
PSS000383|
Multi-ancestry (including European)|
147,985 individuals
PGP000054 |
Elliott J et al. JAMA (2020)
Reported Trait: Incident coronary artery disease (under age 55) C-index: 0.64 [0.63, 0.66]
PPM000815 PGS000116
(CAD_EJ2020)
PSS000391|
Multi-ancestry (including European)|
147,363 individuals
PGP000054 |
Elliott J et al. JAMA (2020)
Reported Trait: Incident coronary artery disease (in males) C-index: 0.61 [0.6, 0.62]
PPM000818 PGS000116
(CAD_EJ2020)
PSS000395|
Multi-ancestry (including European)|
205,297 individuals
PGP000054 |
Elliott J et al. JAMA (2020)
Reported Trait: Incident coronary artery disease (in females) C-index: 0.61 [0.6, 0.63]
PPM017098 PGS000116
(CAD_EJ2020)
PSS010122|
European Ancestry|
4,218 individuals
PGP000433 |
de La Harpe R et al. Eur J Prev Cardiol (2023)
|Ext.
Reported Trait: Coronary heart disease (incident and prevalent) OR: 1.69 [1.5, 1.92] AUROC: 0.781 [0.575, 0.805] sex, age
PPM017099 PGS000116
(CAD_EJ2020)
PSS010121|
European Ancestry|
3,383 individuals
PGP000433 |
de La Harpe R et al. Eur J Prev Cardiol (2023)
|Ext.
Reported Trait: Incident coronary heart disease HR: 1.67 [1.46, 1.92] sex, age, 10 principal components
PPM000583 PGS000200
(GRS28)
PSS000330|
European Ancestry|
24,124 individuals
PGP000082 |
Tikkanen E et al. Arterioscler Thromb Vasc Biol (2013)
Reported Trait: Incident cardiovascular disease HR: 1.18 [1.12, 1.24] sex, total cholesterol, high-density lipoprotein–cholesterol, body mass index, systolic blood pressure, antihypertensive treatment, smoking, type 2 diabetes mellitus Age as timescale Cox regression
PPM000585 PGS000200
(GRS28)
PSS000328|
European Ancestry|
24,124 individuals
PGP000082 |
Tikkanen E et al. Arterioscler Thromb Vasc Biol (2013)
Reported Trait: Incident acute coronary syndrome HR: 1.27 [1.18, 1.37] sex, total cholesterol, high-density lipoprotein–cholesterol, body mass index, systolic blood pressure, antihypertensive treatment, smoking, type 2 diabetes mellitus Age as timescale Cox regression
PPM000617 PGS000200
(GRS28)
PSS000332|
African Ancestry|
7,070 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Incident coronary heart disease HR: 1.11 [0.99, 1.25] C-index: 0.706 sex, eMERGE site, diabetes, hypertension, hyperlipidemia, statin use, first 5 ancestry-specific principal components Age-as-time-scale Cox regression
PPM000613 PGS000200
(GRS28)
PSS000334|
European Ancestry|
39,758 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Incident coronary heart disease HR: 1.17 [1.12, 1.22] C-index: 0.735 sex, eMERGE site, diabetes, hypertension, hyperlipidemia, statin use, first 5 ancestry-specific principal components Age-as-time-scale Cox regression
PPM000621 PGS000200
(GRS28)
PSS000336|
Hispanic or Latin American Ancestry|
2,194 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Incident coronary heart disease HR: 1.13 [0.93, 1.37] C-index: 0.709 sex, eMERGE site, diabetes, hypertension, hyperlipidemia, statin use, first 5 ancestry-specific principal components Age-as-time-scale Cox regression
PPM000584 PGS000200
(GRS28)
PSS000329|
European Ancestry|
24,124 individuals
PGP000082 |
Tikkanen E et al. Arterioscler Thromb Vasc Biol (2013)
Reported Trait: Incident coronary heart disease HR: 1.27 [1.2, 1.35] sex, total cholesterol, high-density lipoprotein–cholesterol, body mass index, systolic blood pressure, antihypertensive treatment, smoking, type 2 diabetes mellitus Age as timescale Cox regression
PPM000607 PGS000200
(GRS28)
PSS000334|
European Ancestry|
39,758 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Incident coronary heart disease HR: 1.18 [1.13, 1.23] C-index: 0.697 sex, eMERGE site, first five ancestry-specific principal components
PPM000608 PGS000200
(GRS28)
PSS000332|
African Ancestry|
7,070 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Incident coronary heart disease HR: 1.11 [0.99, 1.24] C-index: 0.652 sex, eMERGE site, first five ancestry-specific principal components
PPM000612 PGS000200
(GRS28)
PSS000335|
Hispanic or Latin American Ancestry|
2,493 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Coronary heart disease (incident and prevalent) OR: 1.27 [1.12, 1.42] AUROC: 0.771 age at first EHR record, duration of EHR, sex, eMERGE site, first five ancestry-specific principal components
PPM000611 PGS000200
(GRS28)
PSS000331|
African Ancestry|
7,597 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Coronary heart disease (incident and prevalent) OR: 1.07 [0.99, 1.16] AUROC: 0.763 age at first EHR record, duration of EHR, sex, eMERGE site, first five ancestry-specific principal components
PPM000610 PGS000200
(GRS28)
PSS000333|
European Ancestry|
45,645 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Coronary heart disease (incident and prevalent) OR: 1.24 [1.21, 1.28] AUROC: 0.748 age at first EHR record, duration of EHR, sex, eMERGE site, first five ancestry-specific principal components
PPM000609 PGS000200
(GRS28)
PSS000336|
Hispanic or Latin American Ancestry|
2,194 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Incident coronary heart disease HR: 1.14 [0.94, 1.37] C-index: 0.655 sex, eMERGE site, first five ancestry-specific principal components
PPM000588 PGS000200
(GRS28)
PSS000328|
European Ancestry|
24,124 individuals
PGP000082 |
Tikkanen E et al. Arterioscler Thromb Vasc Biol (2013)
Reported Trait: Incident acute coronary syndrome C-index: 0.859 ΔC-index (over covariate only model): 0.004 [0.003, 0.005] sex, total cholesterol, high-density lipoprotein-cholesterol, body mass index, systolic blood pressure, antihypertensive treatment, smoking, type 2 diabetes mellitus, family history Age as timescale Cox regression
PPM000587 PGS000200
(GRS28)
PSS000329|
European Ancestry|
24,124 individuals
PGP000082 |
Tikkanen E et al. Arterioscler Thromb Vasc Biol (2013)
Reported Trait: Incident coronary heart disease C-index: 0.856 ΔC-index (over covariate only model): 0.005 [0.004, 0.006] sex, total cholesterol, high-density lipoprotein-cholesterol, body mass index, systolic blood pressure, antihypertensive treatment, smoking, type 2 diabetes mellitus, family history Age as timescale Cox regression
PPM000586 PGS000200
(GRS28)
PSS000330|
European Ancestry|
24,124 individuals
PGP000082 |
Tikkanen E et al. Arterioscler Thromb Vasc Biol (2013)
Reported Trait: Incident cardiovascular disease C-index: 0.84 ΔC-index (over covariate only model): 0.003 [0.002, 0.004] sex, total cholesterol, high-density lipoprotein-cholesterol, body mass index, systolic blood pressure, antihypertensive treatment, smoking, type 2 diabetes mellitus, family history Age as timescale Cox regression
PPM000743 PGS000296
(GPS_CAD_SA)
PSS000365|
South Asian Ancestry|
491 individuals
PGP000090 |
Wang M et al. J Am Coll Cardiol (2020)
Reported Trait: Myocardial infarction (first-ever) OR: 1.6 [1.32, 1.94] AUROC: 0.6632 age, sex, top 5 genetic PCs
PPM000745 PGS000296
(GPS_CAD_SA)
PSS000366|
South Asian Ancestry|
2,963 individuals
PGP000090 |
Wang M et al. J Am Coll Cardiol (2020)
Reported Trait: Coronary artery disease OR: 1.66 [1.53, 1.81] AUROC: 0.712 age, sex, top 5 genetic PCs
PPM000746 PGS000296
(GPS_CAD_SA)
PSS000366|
South Asian Ancestry|
2,963 individuals
PGP000090 |
Wang M et al. J Am Coll Cardiol (2020)
Reported Trait: Coronary artery disease OR: 1.58 [1.42, 1.75] age, sex, top 5 genetic PCs, diabetes, hypertension, hypercholesterolemia, smoking, body mass index
PPM000744 PGS000296
(GPS_CAD_SA)
PSS000365|
South Asian Ancestry|
491 individuals
PGP000090 |
Wang M et al. J Am Coll Cardiol (2020)
Reported Trait: Myocardial infarction (first-ever) OR: 1.51 [1.22, 1.88] age, sex, top 5 genetic PCs, diabetes, hypertension, hypercholesterolemia, family history of heart disease, current smoking, family history of myocardial infarction
PPM015570 PGS000296
(GPS_CAD_SA)
PSS009986|
Greater Middle Eastern Ancestry|
7,023 individuals
PGP000386 |
Saad M et al. Circ Genom Precis Med (2022)
|Ext.
Reported Trait: Coronary heart disease OR: 1.53 [1.42, 1.64] AUROC: 0.683 [0.665, 0.701]
PPM000896 PGS000329
(PRS_CHD)
PSS000440|
European Ancestry|
20,165 individuals
PGP000100 |
Mars N et al. Nat Med (2020)
Reported Trait: Incident coronary heart disease C-index: 0.82 ASCVD risk calculator(age, sex, total cholesterol, HDL, SBP, blood-pressure-lowering medication, diabetes and smoking status), FINRISK cohort, genotyping array/batch, 10 ancestry PCs 10-year risk
PPM000891 PGS000329
(PRS_CHD)
PSS000440|
European Ancestry|
20,165 individuals
PGP000100 |
Mars N et al. Nat Med (2020)
Reported Trait: Incident coronary heart disease HR: 1.25 [1.18, 1.32] C-index: 0.832 age, sex, FINRISK cohort, genotyping array/batch, 10 ancestry PCs 10-year risk
PPM000886 PGS000329
(PRS_CHD)
PSS000445|
European Ancestry|
135,300 individuals
PGP000100 |
Mars N et al. Nat Med (2020)
Reported Trait: Coronary heart disease (incident and prevalent cases) HR: 1.31 [1.29, 1.33] genotyping array/batch, 10 ancestry PCs, stratified by sex
PPM017092 PGS000329
(PRS_CHD)
PSS010120|
European Ancestry|
4,218 individuals
PGP000433 |
de La Harpe R et al. Eur J Prev Cardiol (2023)
|Ext.
Reported Trait: Atherosclerotic cardiovascular disease (incident and prevalent) OR: 1.33 [1.2, 1.49] AUROC: 0.765 [0.74, 0.79] sex, age
PPM017093 PGS000329
(PRS_CHD)
PSS010122|
European Ancestry|
4,218 individuals
PGP000433 |
de La Harpe R et al. Eur J Prev Cardiol (2023)
|Ext.
Reported Trait: Coronary heart disease (incident and prevalent) OR: 1.59 [1.42, 1.77] AUROC: 0.779 [0.756, 0.803] sex, age
PPM017094 PGS000329
(PRS_CHD)
PSS010119|
European Ancestry|
3,383 individuals
PGP000433 |
de La Harpe R et al. Eur J Prev Cardiol (2023)
|Ext.
Reported Trait: Incident atherosclerotic cardiovascular disease HR: 1.29 [1.12, 1.47] sex, age, 10 principal components
PPM017095 PGS000329
(PRS_CHD)
PSS010121|
European Ancestry|
3,383 individuals
PGP000433 |
de La Harpe R et al. Eur J Prev Cardiol (2023)
|Ext.
Reported Trait: Incident coronary heart disease HR: 1.57 [1.4, 1.77] sex, age, 10 principal components
PPM000898 PGS000331
(PRS_AF)
PSS000439|
European Ancestry|
10,561 individuals
PGP000100 |
Mars N et al. Nat Med (2020)
Reported Trait: Incident atrial fibrillation C-index: 0.734 CHARGE-AF calculator (age, height, weight, SBP, DBP, smoking status, blood-pressure-lowering medication, diabetes, heart failure and history of myocardial infarction), FINRISK cohort, genotyping array/batch, 10 ancestry PCs 5-year risk
PPM000893 PGS000331
(PRS_AF)
PSS000439|
European Ancestry|
10,561 individuals
PGP000100 |
Mars N et al. Nat Med (2020)
Reported Trait: Incident atrial fibrillation HR: 1.62 [1.54, 1.7] C-index: 0.751 age, sex, FINRISK cohort, genotyping array/batch, 10 ancestry PCs 5-year risk
PPM000888 PGS000331
(PRS_AF)
PSS000442|
European Ancestry|
135,300 individuals
PGP000100 |
Mars N et al. Nat Med (2020)
Reported Trait: Atrial fibrillation (incident and prevalent cases) HR: 1.62 [1.59, 1.65] genotyping array/batch, 10 ancestry PCs, stratified by sex
PPM000909 PGS000337
(MetaPRS_CAD)
PSS000456|
East Asian Ancestry|
49,230 individuals
PGP000104 |
Koyama S et al. Nat Genet (2020)
Reported Trait: Mortality (diseases of the circulatory system) HR: 1.10351 [1.057, 1.152] Sex, age, age^2, PCs (1-10), disease status
PPM000908 PGS000337
(MetaPRS_CAD)
PSS000454|
East Asian Ancestry|
49,230 individuals
PGP000104 |
Koyama S et al. Nat Genet (2020)
Reported Trait: All-cause Mortality HR: 1.03159 [1.011, 1.052] Sex, age, age^2, PCs (1-10), disease status
PPM000911 PGS000337
(MetaPRS_CAD)
PSS000457|
East Asian Ancestry|
49,230 individuals
PGP000104 |
Koyama S et al. Nat Genet (2020)
Reported Trait: Mortality (ischemic heart disease) HR: 1.2158 [1.109, 1.333] Sex, age, age^2, PCs (1-10), disease status
PPM000912 PGS000337
(MetaPRS_CAD)
PSS000455|
East Asian Ancestry|
49,230 individuals
PGP000104 |
Koyama S et al. Nat Genet (2020)
Reported Trait: Mortality (congestive heart failure) HR: 1.15604 [1.042, 1.2283] Sex, age, age^2, PCs (1-10), disease status
PPM000910 PGS000337
(MetaPRS_CAD)
PSS000458|
East Asian Ancestry|
49,230 individuals
PGP000104 |
Koyama S et al. Nat Genet (2020)
Reported Trait: Mortality (diseases of the respiratory system) HR: 1.07133 [1.012, 1.134] Sex, age, age^2, PCs (1-10), disease status
PPM000907 PGS000337
(MetaPRS_CAD)
PSS000459|
East Asian Ancestry|
10,999 individuals
PGP000104 |
Koyama S et al. Nat Genet (2020)
Reported Trait: Coronary artery disease OR: 1.84 [1.744, 1.943] AUROC: 0.674 [0.661, 0.687] : 0.087 [0.074, 0.101]
PPM015569 PGS000337
(MetaPRS_CAD)
PSS009986|
Greater Middle Eastern Ancestry|
7,023 individuals
PGP000386 |
Saad M et al. Circ Genom Precis Med (2022)
|Ext.
Reported Trait: Coronary heart disease OR: 1.81 [1.66, 1.98] AUROC: 0.667 [0.649, 0.685]
PPM000916 PGS000338
(GRS97_AF)
PSS000462|
European Ancestry|
3,759 individuals
PGP000105 |
Kloosterman M et al. Eur J Heart Fail (2020)
Reported Trait: Atrial fibrillation OR: 2.13 [1.86, 2.44] age, sex, PCs (1-10) of ancestry
PPM000913 PGS000338
(GRS97_AF)
PSS000462|
European Ancestry|
3,759 individuals
PGP000105 |
Kloosterman M et al. Eur J Heart Fail (2020)
Reported Trait: Atrial fibrillation OR: 2.12 [1.84, 2.45] age, height, weight, systolic blood pressure, diastolic blood pressure, current smoking, hypertension, diabetes, myocardial infarction, PCs (1-10) of ancestry
PPM000917 PGS000338
(GRS97_AF)
PSS000461|
European Ancestry|
2,262 individuals
PGP000105 |
Kloosterman M et al. Eur J Heart Fail (2020)
Reported Trait: Atrial fibrillation in individuals with heart failure and a reduced ejection fraction OR: 2.12 [1.77, 2.54] age, sex, PCs (1-10) of ancestry
PPM000915 PGS000338
(GRS97_AF)
PSS000460|
European Ancestry|
530 individuals
PGP000105 |
Kloosterman M et al. Eur J Heart Fail (2020)
Reported Trait: Atrial fibrillation in individuals with heart failure and a preserved ejection fraction OR: 2.02 [1.37, 2.99] age, height, weight, systolic blood pressure, diastolic blood pressure, current smoking, hypertension, diabetes, myocardial infarction, PCs (1-10) of ancestry
PPM000914 PGS000338
(GRS97_AF)
PSS000461|
European Ancestry|
2,262 individuals
PGP000105 |
Kloosterman M et al. Eur J Heart Fail (2020)
Reported Trait: Atrial fibrillation in individuals with heart failure and a reduced ejection fraction OR: 2.08 [1.72, 2.5] age, height, weight, systolic blood pressure, diastolic blood pressure, current smoking, hypertension, diabetes, myocardial infarction, PCs (1-10) of ancestry
PPM000920 PGS000338
(GRS97_AF)
PSS000462|
European Ancestry|
3,759 individuals
PGP000105 |
Kloosterman M et al. Eur J Heart Fail (2020)
Reported Trait: Atrial fibrillation AUROC: 0.721 [0.704, 737.0] PCs (1-10) of ancestry, CHARGE-AF risk factors (age, height, weight, systolic blood pressure, diastolic blood pressure, current smoking, myocardial infarction, diabetes)
PPM000919 PGS000338
(GRS97_AF)
PSS000462|
European Ancestry|
3,759 individuals
PGP000105 |
Kloosterman M et al. Eur J Heart Fail (2020)
Reported Trait: Atrial fibrillation AUROC: 0.606 [0.588, 0.624] PCs (1-10) of ancestry
PPM000918 PGS000338
(GRS97_AF)
PSS000460|
European Ancestry|
530 individuals
PGP000105 |
Kloosterman M et al. Eur J Heart Fail (2020)
Reported Trait: Atrial fibrillation in individuals with heart failure and a preserved ejection fraction OR: 1.82 [1.28, 2.59] age, sex, PCs (1-10) of ancestry
PPM000996 PGS000349
(PRS70_CAD)
PSS000508|
European Ancestry|
3,748 individuals
PGP000114 |
Pechlivanis S et al. BMC Med Genet (2020)
Reported Trait: Coronary artery calcification OR: 1.19 [1.1, 1.29] age, sex, cardiovascular risk factors (systolic blood pressure, antihypertensive medication, smoking, LDL-cholestrol, HDL-cholesterol, lipid lowering medication, BMI and diabetes).
PPM000995 PGS000349
(PRS70_CAD)
PSS000505|
European Ancestry|
4,041 individuals
PGP000114 |
Pechlivanis S et al. BMC Med Genet (2020)
Reported Trait: Coronary artery calcification OR: 1.18 [1.1, 1.27] age, sex, cardiovascular risk factors (systolic blood pressure, antihypertensive medication, smoking, LDL-cholestrol, HDL-cholesterol, lipid lowering medication, BMI and diabetes).
PPM000993 PGS000349
(PRS70_CAD)
PSS000509|
European Ancestry|
2,560 individuals
PGP000114 |
Pechlivanis S et al. BMC Med Genet (2020)
Reported Trait: Incident Coronary Heart Disease in indiviuals with coronary artery calcification > 0 HR: 1.21 [1.08, 1.36] age, sex, cardiovascular risk factors (systolic blood pressure, antihypertensive medication, smoking, LDL-cholestrol, HDL-cholesterol, lipid lowering medication, BMI and diabetes).
PPM000992 PGS000349
(PRS70_CAD)
PSS000510|
European Ancestry|
1,765 individuals
PGP000114 |
Pechlivanis S et al. BMC Med Genet (2020)
Reported Trait: Incident Coronary Heart Disease in males HR: 1.23 [1.07, 1.41] age, cardiovascular risk factors (systolic blood pressure, antihypertensive medication, smoking, LDL-cholestrol, HDL-cholesterol, lipid lowering medication, BMI and diabetes) and coronary artery calcification.
PPM000991 PGS000349
(PRS70_CAD)
PSS000506|
European Ancestry|
1,919 individuals
PGP000114 |
Pechlivanis S et al. BMC Med Genet (2020)
Reported Trait: Incident Coronary Heart Disease in males HR: 1.25 [1.1, 1.42] age
PPM000990 PGS000349
(PRS70_CAD)
PSS000507|
European Ancestry|
3,748 individuals
PGP000114 |
Pechlivanis S et al. BMC Med Genet (2020)
Reported Trait: Incident Coronary Heart Disease HR: 1.18 [1.06, 1.31] age, sex, cardiovascular risk factors (systolic blood pressure, antihypertensive medication, smoking, LDL-cholestrol, HDL-cholesterol, lipid lowering medication, BMI and diabetes) and coronary artery calcification.
PPM000989 PGS000349
(PRS70_CAD)
PSS000504|
European Ancestry|
4,041 individuals
PGP000114 |
Pechlivanis S et al. BMC Med Genet (2020)
Reported Trait: Incident Coronary Heart Disease HR: 1.18 [1.06, 1.31] age, sex
PPM000994 PGS000349
(PRS70_CAD)
PSS000511|
European Ancestry|
1,426 individuals
PGP000114 |
Pechlivanis S et al. BMC Med Genet (2020)
Reported Trait: Incident Coronary Heart Disease in males with coronary artery calcification > 0 HR: 1.26 [1.09, 1.46] age, cardiovascular risk factors (systolic blood pressure, antihypertensive medication, smoking, LDL-cholestrol, HDL-cholesterol, lipid lowering medication, BMI and diabetes).
PPM001601 PGS000709
(HC299)
PSS000820|
European Ancestry|
87,413 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: Heart failure AUROC: 0.53217 Age, sex, PCs(1-10)
PPM001614 PGS000709
(HC299)
PSS000821|
European Ancestry|
135,300 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: Heart failure HR: 1.08 [1.06, 1.1] C-index: 0.635 Age as time scale, sex, batch, PCs(1-10)
PPM001602 PGS000710
(HC326)
PSS000826|
European Ancestry|
87,413 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: Myocardial infarction AUROC: 0.59348 Age, sex, PCs(1-10)
PPM001606 PGS000710
(HC326)
PSS000827|
European Ancestry|
135,300 individuals
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Reported Trait: Myocardial infarction HR: 1.19 [1.17, 1.22] C-index: 0.707 Age as time scale, sex, batch, PCs(1-10)
PPM001668 PGS000727
(AF_PGS)
PSS000867|
European Ancestry|
3,087 individuals
PGP000137 |
Ritchie SC et al. Nat Metab (2021)
Reported Trait: Incident atrial fibrillation HR: 1.72 [1.2, 2.47] age, sex, 10 genetic PCs
PPM001757 PGS000737
(PRS_BrS)
PSS000905|
European Ancestry|
1,185 individuals
PGP000144 |
Tadros R et al. Eur Heart J (2019)
Reported Trait: Ajmaline-induced Type I Brugada syndrome electrocardiogram OR: 1.174 [1.138, 1.21]
PPM001758 PGS000737
(PRS_BrS)
PSS000905|
European Ancestry|
1,185 individuals
PGP000144 |
Tadros R et al. Eur Heart J (2019)
Reported Trait: Ajmaline-induced Type I Brugada syndrome electrocardiogram C-index: 0.68 [0.65, 0.71] correlation coefficient (r): -0.14
PPM001765 PGS000739
(HCM_GRS)
PSS000909|
Multi-ancestry (including European)|
41,597 individuals
PGP000146 |
Harper AR et al. Nat Genet (2021)
Reported Trait: Hypertrophic cardiomyopathy OR: 1.73 [1.63, 1.83] Age, gender, PCs(1-10)
PPM001767 PGS000739
(HCM_GRS)
PSS000910|
Multi-ancestry (including European)|
20,501 individuals
PGP000146 |
Harper AR et al. Nat Genet (2021)
Reported Trait: Hypertrophic cardiomyopathy carrying a pathogenic sarcomere mutation OR: 1.54 [1.39, 1.69] Age, gender, PCs(1-10)
PPM001766 PGS000739
(HCM_GRS)
PSS000908|
Multi-ancestry (including European)|
21,095 individuals
PGP000146 |
Harper AR et al. Nat Genet (2021)
Reported Trait: Hypertrophic cardiomyopathy in individuals who do not carry a pathogenic sarcomere mutation OR: 1.8 [1.67, 1.93] Age, gender, PCs(1-10)
PPM018527 PGS000739
(HCM_GRS)
PSS011008|
European Ancestry|
184,511 individuals
PGP000476 |
Biddinger KJ et al. JAMA Cardiol (2022)
|Ext.
Reported Trait: Hypertrophic cardiomyopathy OR: 1.556 [1.361, 1.778]
PPM018528 PGS000739
(HCM_GRS)
PSS011008|
European Ancestry|
184,511 individuals
PGP000476 |
Biddinger KJ et al. JAMA Cardiol (2022)
|Ext.
Reported Trait: Hypertrophic cardiomyopathy in noncarriers of an HCM-ACMG rare variant OR: 1.585 [1.375, 1.828]
PPM018529 PGS000739
(HCM_GRS)
PSS011007|
European Ancestry|
30,716 individuals
PGP000476 |
Biddinger KJ et al. JAMA Cardiol (2022)
|Ext.
Reported Trait: Hypertrophic cardiomyopathy OR: 1.35 [1.21, 1.51]
PPM018530 PGS000739
(HCM_GRS)
PSS011008|
European Ancestry|
184,511 individuals
PGP000476 |
Biddinger KJ et al. JAMA Cardiol (2022)
|Ext.
Reported Trait: Hypertrophic cardiomyopathy HR: 1.795 [1.521, 2.117] AUROC: 0.725 [0.678, 0.771] Age, sex, genotyping array, and PCs 1-5
PPM018531 PGS000739
(HCM_GRS)
PSS011008|
European Ancestry|
184,511 individuals
PGP000476 |
Biddinger KJ et al. JAMA Cardiol (2022)
|Ext.
Reported Trait: Hypertrophic cardiomyopathy AUROC: 0.821 [0.772, 0.871] Clinical risk factors (obesity, HTN, AF, CAD), HCM-ACMG rare variant carrier status, age, sex, genotyping array, and PCs 1-5
PPM001836 PGS000746
(PRS_UKB)
PSS000931|
European Ancestry|
431,814 individuals
PGP000152 |
Gola D et al. Circ Genom Precis Med (2020)
Reported Trait: Coronary artery disease AUROC: 0.6133 [0.6094, 0.6172] Area under the Precision-Recall curve (AUPRC): 0.0752 [0.0745, 0.076]
PPM001834 PGS000746
(PRS_UKB)
PSS000929|
European Ancestry|
5,581 individuals
PGP000152 |
Gola D et al. Circ Genom Precis Med (2020)
Reported Trait: Coronary artery disease AUROC: 0.5143 [0.4992, 0.5294] Area under the Precision-Recall curve (AUPRC): 0.5607 [0.5593, 0.5621]
PPM001835 PGS000746
(PRS_UKB)
PSS000930|
European Ancestry|
27,048 individuals
PGP000152 |
Gola D et al. Circ Genom Precis Med (2020)
Reported Trait: Coronary artery disease AUROC: 0.6049 [0.5857, 0.6241] Area under the Precision-Recall curve (AUPRC): 0.046 [0.0454, 0.0466]
PPM001839 PGS000747
(PRS_EB)
PSS000931|
European Ancestry|
431,814 individuals
PGP000152 |
Gola D et al. Circ Genom Precis Med (2020)
Reported Trait: Coronary artery disease AUROC: 0.6043 [0.6004, 0.6082] Area under the Precision-Recall curve (AUPRC): 0.0712 [0.0703, 0.076]
PPM001837 PGS000747
(PRS_EB)
PSS000929|
European Ancestry|
5,581 individuals
PGP000152 |
Gola D et al. Circ Genom Precis Med (2020)
Reported Trait: Coronary artery disease AUROC: 0.5407 [0.5253, 0.5561] Area under the Precision-Recall curve (AUPRC): 0.498 [0.4962, 0.4998]
PPM001838 PGS000747
(PRS_EB)
PSS000930|
European Ancestry|
27,048 individuals
PGP000152 |
Gola D et al. Circ Genom Precis Med (2020)
Reported Trait: Coronary artery disease AUROC: 0.6565 [0.6369, 0.676] Area under the Precision-Recall curve (AUPRC): 0.0765 [0.0755, 0.0774]
PPM001841 PGS000748
(PRS_DE)
PSS000930|
European Ancestry|
27,048 individuals
PGP000152 |
Gola D et al. Circ Genom Precis Med (2020)
Reported Trait: Coronary artery disease AUROC: 0.6156 [0.5963, 0.6349] Area under the Precision-Recall curve (AUPRC): 0.0506 [0.0504, 0.0508]
PPM001842 PGS000748
(PRS_DE)
PSS000931|
European Ancestry|
431,814 individuals
PGP000152 |
Gola D et al. Circ Genom Precis Med (2020)
Reported Trait: Coronary artery disease AUROC: 0.5989 [0.595, 0.6028] Area under the Precision-Recall curve (AUPRC): 0.0696 [0.0694, 0.0698]
PPM001840 PGS000748
(PRS_DE)
PSS000929|
European Ancestry|
5,581 individuals
PGP000152 |
Gola D et al. Circ Genom Precis Med (2020)
Reported Trait: Coronary artery disease AUROC: 0.6752 [0.6612, 0.6891] Area under the Precision-Recall curve (AUPRC): 0.6891 [0.6887, 0.6895]
PPM001843 PGS000749
(PRS_COMBINED)
PSS000930|
European Ancestry|
27,048 individuals
PGP000152 |
Gola D et al. Circ Genom Precis Med (2020)
Reported Trait: Coronary artery disease AUROC: 0.6112 [0.5919, 0.6305] Area under the Precision-Recall curve (AUPRC): 0.048 [0.0473, 0.0487]
PPM001844 PGS000749
(PRS_COMBINED)
PSS000931|
European Ancestry|
431,814 individuals
PGP000152 |
Gola D et al. Circ Genom Precis Med (2020)
Reported Trait: Coronary artery disease AUROC: 0.5988 [0.5949, 0.6027] Area under the Precision-Recall curve (AUPRC): 0.0697 [0.0688, 0.0705]
PPM015572 PGS000749
(PRS_COMBINED)
PSS009986|
Greater Middle Eastern Ancestry|
7,023 individuals
PGP000386 |
Saad M et al. Circ Genom Precis Med (2022)
|Ext.
Reported Trait: Coronary heart disease OR: 1.66 [1.51, 1.82] AUROC: 0.645 [0.627, 0.663]
PPM002016 PGS000778
(PRSHCM)
PSS000999|
Ancestry Not Reported|
368 individuals
PGP000182 |
Tadros R et al. Nat Genet (2021)
Reported Trait: Clinical events in individuals with a pathogenic or likely pathogenic sarcomeric variant HR: 1.28 [1.06, 1.54]
β: 0.247 (0.095)
Genetic relatedness matrix, sex Clinical events includes time to septal reduction therapy, cardiac transplantation, sustained ventricular arrhythmia, sudden cardiac death, appropriate ICD therapy or atrial fibrillation/flutter.
PPM002017 PGS000778
(PRSHCM)
PSS001000|
Ancestry Not Reported|
368 individuals
PGP000182 |
Tadros R et al. Nat Genet (2021)
Reported Trait: Major clinical events in individuals with a pathogenic or likely pathogenic sarcomeric variant HR: 1.29 [1.04, 1.59]
β: 0.255 (0.108)
Genetic relatedness matrix, sex Major clinical events includes time to septal reduction therapy, cardiac transplantation, sustained ventricular arrhythmia, sudden cardiac death or appropriate ICD therapy.
PPM002018 PGS000778
(PRSHCM)
PSS001004|
Ancestry Not Reported|
368 individuals
PGP000182 |
Tadros R et al. Nat Genet (2021)
Reported Trait: Septal reduction therapy in individuals with a pathogenic or likely pathogenic sarcomeric variant HR: 1.36 [1.06, 1.74]
β: 0.304 (0.127)
Genetic relatedness matrix, sex Septal reduction therapy includes time time to septal myectomy or alcohol septal ablation.
PPM002020 PGS000778
(PRSHCM)
PSS001003|
Ancestry Not Reported|
194 individuals
PGP000182 |
Tadros R et al. Nat Genet (2021)
Reported Trait: Maximal left ventricular wall thickness indexed to body surface area (mm/m^2) in individuals with a pathogenic or likely pathogenic sarcomeric variant β: 0.731 (0.238) Genetic relatedness matrix Each standard deviation increase in the polgyenic risk score is associated with 0.7 mm m^-2 increase in maximal left ventricular wall thickness.
PPM002021 PGS000778
(PRSHCM)
PSS001002|
Ancestry Not Reported|
214 individuals
PGP000182 |
Tadros R et al. Nat Genet (2021)
Reported Trait: Clinical events in in individuals with a pathogenic or likely pathogenic sarcomeric variant HR: 1.53 [1.05, 2.22]
β: 0.422 (0.193)
Genetic relatedness matrix, sex Clinical events includes time to septal reduction therapy, cardiac transplantation, sustained ventricular arrhythmia, sudden cardiac death, appropriate ICD therapy or atrial fibrillation/flutter.
PPM002015 PGS000778
(PRSHCM)
PSS001001|
Ancestry Not Reported|
322 individuals
PGP000182 |
Tadros R et al. Nat Genet (2021)
Reported Trait: Maximal left ventricular wall thickness indexed to body surface area (mm/m^2) in individuals with a pathogenic or likely pathogenic sarcomeric variant β: 0.726 (0.188) Genetic relatedness matrix Each standard deviation increase in the polgyenic risk score is associated with 0.7 mm m^-2 increase in maximal left ventricular wall thickness.
PPM002075 PGS000798
(157SNP_GRS)
PSS001026|
Multi-ancestry (including European)|
6,660 individuals
PGP000187 |
Severance LM et al. J Cardiovasc Comput Tomogr (2019)
Reported Trait: Cornary artery calcium (non-zero CAC score) OR: 1.37 [1.29, 1.45] Age, sex
PPM002180 PGS000818
(GRS_Metabo)
PSS001064|
European Ancestry|
1,939 individuals
PGP000202 |
Bauer A et al. Genet Epidemiol (2021)
Reported Trait: Incident coronary heart disease HR: 1.2341 [1.1137, 1.3676]
PPM002181 PGS000818
(GRS_Metabo)
PSS001064|
European Ancestry|
1,939 individuals
PGP000202 |
Bauer A et al. Genet Epidemiol (2021)
Reported Trait: Incident coronary heart disease HR: 1.2126 [1.0766, 1.3659] Age, sex, survey
PPM002178 PGS000818
(GRS_Metabo)
PSS001063|
European Ancestry|
2,909 individuals
PGP000202 |
Bauer A et al. Genet Epidemiol (2021)
Reported Trait: Incident coronary heart disease C-index: 0.7571 [0.7234, 0.7908] Age, sex, survey
PPM002179 PGS000818
(GRS_Metabo)
PSS001063|
European Ancestry|
2,909 individuals
PGP000202 |
Bauer A et al. Genet Epidemiol (2021)
Reported Trait: Incident coronary heart disease C-index: 0.792 [0.7622, 0.8219] Age, sex, survey, Framingham risk score (diabetes status, current and former smoking status, systolic blood pressure, antihypertensive medication, HDL cholesterol, total cholesterol)
PPM002641 PGS000899
(PRS176_CHD)
PSS001168|
European Ancestry|
7,403 individuals
PGP000232 |
Feitosa MF et al. Circ Genom Precis Med (2021)
Reported Trait: Prevalent coronary heart disease age-at-onset HR: 1.35 [1.26, 1.45] Age, sex, study, type II diabetes, hypertension, high density lipoprotein cholesterol, low density lipoprotein cholesterol, waist circumference, current cigarette smoking, current alcohol drinking.
PPM002642 PGS000899
(PRS176_CHD)
PSS001168|
European Ancestry|
7,403 individuals
PGP000232 |
Feitosa MF et al. Circ Genom Precis Med (2021)
Reported Trait: Prevalent coronary heart disease age-at-onset HR: 1.7 [1.41, 2.05] Age, sex, study, PRS*sex, PRS*LLFS, PRS*FamnHS-High risk, type II diabetes, hypertension, high density lipoprotein cholesterol, low density lipoprotein cholesterol, waist circumference, current cigarette smoking, current alcohol drinking.
PPM002643 PGS000899
(PRS176_CHD)
PSS001168|
European Ancestry|
7,403 individuals
PGP000232 |
Feitosa MF et al. Circ Genom Precis Med (2021)
Reported Trait: Prevalent coronary heart disease age-at-onset HR: 1.75 [1.16, 2.65] Age, sex, study, PRS*LLFS, PRS*FamnHS-High risk, type II diabetes, hypertension, high density lipoprotein cholesterol, low density lipoprotein cholesterol, menopause, waist circumference, current cigarette smoking, current alcohol drinking.
PPM002644 PGS000899
(PRS176_CHD)
PSS001168|
European Ancestry|
7,403 individuals
PGP000232 |
Feitosa MF et al. Circ Genom Precis Med (2021)
Reported Trait: Prevalent coronary heart disease age-at-onset (males) HR: 1.57 [1.28, 1.92] Age, study, PRS*LLFS, PRS*FamnHS-High risk, type II diabetes, hypertension, high density lipoprotein cholesterol, low density lipoprotein cholesterol, waist circumference, current cigarette smoking, current alcohol drinking.
PPM002645 PGS000899
(PRS176_CHD)
PSS001168|
European Ancestry|
7,403 individuals
PGP000232 |
Feitosa MF et al. Circ Genom Precis Med (2021)
Reported Trait: Prevalent coronary heart disease age-at-onset (males) HR: 1.42 [1.3, 1.54] Age, study, type II diabetes, hypertension, high density lipoprotein cholesterol, low density lipoprotein cholesterol, waist circumference, current cigarette smoking, current alcohol drinking.
PPM002647 PGS000899
(PRS176_CHD)
PSS001168|
European Ancestry|
7,403 individuals
PGP000232 |
Feitosa MF et al. Circ Genom Precis Med (2021)
Reported Trait: Prevalent coronary heart disease age-at-onset (females) HR: 1.18 [1.04, 1.34] Age, study, type II diabetes, hypertension, high density lipoprotein cholesterol, low density lipoprotein cholesterol, waist circumference, current cigarette smoking, current alcohol drinking.
PPM002640 PGS000899
(PRS176_CHD)
PSS001168|
European Ancestry|
7,403 individuals
PGP000232 |
Feitosa MF et al. Circ Genom Precis Med (2021)
Reported Trait: Prevalent coronary heart disease age-at-onset HR: 1.6 [1.33, 1.92] Age, sex, study, PRS*LLFS, PRS*FamnHS-High risk, type II diabetes, hypertension, high density lipoprotein cholesterol, low density lipoprotein cholesterol, waist circumference, current cigarette smoking, current alcohol drinking.
PPM002646 PGS000899
(PRS176_CHD)
PSS001168|
European Ancestry|
7,403 individuals
PGP000232 |
Feitosa MF et al. Circ Genom Precis Med (2021)
Reported Trait: Prevalent coronary heart disease age-at-onset (females) HR: 1.76 [1.16, 2.68] Age, study, PRS*LLFS, PRS*FamnHS-High risk, type II diabetes, hypertension, high density lipoprotein cholesterol, low density lipoprotein cholesterol, waist circumference, current cigarette smoking, current alcohol drinking.
PPM007634 PGS000962
(GBE_HC942)
PSS004726|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE chronic ischaemic heart disease AUROC: 0.7358 [0.70724, 0.76436] : 0.09751
Incremental AUROC (full-covars): 0.00137
PGS R2 (no covariates): 0.00275
PGS AUROC (no covariates): 0.53401 [0.49965, 0.56838]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007635 PGS000962
(GBE_HC942)
PSS004727|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE chronic ischaemic heart disease AUROC: 0.76843 [0.69891, 0.83795] : 0.12929
Incremental AUROC (full-covars): 0.00772
PGS R2 (no covariates): 0.01452
PGS AUROC (no covariates): 0.60835 [0.52909, 0.68761]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007636 PGS000962
(GBE_HC942)
PSS004728|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE chronic ischaemic heart disease AUROC: 0.77959 [0.76878, 0.7904] : 0.1649
Incremental AUROC (full-covars): 0.00919
PGS R2 (no covariates): 0.0145
PGS AUROC (no covariates): 0.58654 [0.57236, 0.60073]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007637 PGS000962
(GBE_HC942)
PSS004729|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE chronic ischaemic heart disease AUROC: 0.76819 [0.75382, 0.78257] : 0.19358
Incremental AUROC (full-covars): 0.00859
PGS R2 (no covariates): 0.01217
PGS AUROC (no covariates): 0.56681 [0.54864, 0.58499]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007638 PGS000962
(GBE_HC942)
PSS004730|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE chronic ischaemic heart disease AUROC: 0.76113 [0.75467, 0.7676] : 0.14665
Incremental AUROC (full-covars): 0.01428
PGS R2 (no covariates): 0.01869
PGS AUROC (no covariates): 0.59199 [0.58389, 0.60008]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007888 PGS001025
(GBE_HC951)
PSS004736|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE nonrheumatic aortic valve disorders AUROC: 0.82312 [0.77164, 0.87459] : 0.11205
Incremental AUROC (full-covars): -0.00433
PGS R2 (no covariates): 0.00601
PGS AUROC (no covariates): 0.42408 [0.32798, 0.52019]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007889 PGS001025
(GBE_HC951)
PSS004737|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE nonrheumatic aortic valve disorders AUROC: 0.85035 [0.70276, 0.99795] : 0.20912
Incremental AUROC (full-covars): 0.0036
PGS R2 (no covariates): 0.00383
PGS AUROC (no covariates): 0.57568 [0.385, 0.76636]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007890 PGS001025
(GBE_HC951)
PSS004738|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE nonrheumatic aortic valve disorders AUROC: 0.7688 [0.74115, 0.79645] : 0.09382
Incremental AUROC (full-covars): 0.00229
PGS R2 (no covariates): 0.00416
PGS AUROC (no covariates): 0.55883 [0.52408, 0.59358]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007891 PGS001025
(GBE_HC951)
PSS004739|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE nonrheumatic aortic valve disorders AUROC: 0.7872 [0.73952, 0.83487] : 0.10086
Incremental AUROC (full-covars): 2e-05
PGS R2 (no covariates): 0.00021
PGS AUROC (no covariates): 0.49071 [0.41731, 0.5641]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007892 PGS001025
(GBE_HC951)
PSS004740|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE nonrheumatic aortic valve disorders AUROC: 0.72257 [0.70467, 0.74046] : 0.05934
Incremental AUROC (full-covars): 0.00304
PGS R2 (no covariates): 0.00268
PGS AUROC (no covariates): 0.5466 [0.52408, 0.56913]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007998 PGS001048
(GBE_HC1576)
PSS004287|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: AD NSTEMI AUROC: 0.65512 [0.5866, 0.72364] : 0.02925
Incremental AUROC (full-covars): 0.00342
PGS R2 (no covariates): 0.00035
PGS AUROC (no covariates): 0.50799 [0.43141, 0.58457]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM007999 PGS001048
(GBE_HC1576)
PSS004288|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: AD NSTEMI AUROC: 0.79982 [0.67861, 0.92103] : 0.1062
Incremental AUROC (full-covars): -0.01024
PGS R2 (no covariates): 0.00383
PGS AUROC (no covariates): 0.43146 [0.20864, 0.65427]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008000 PGS001048
(GBE_HC1576)
PSS004289|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: AD NSTEMI AUROC: 0.7508 [0.72681, 0.77479] : 0.07667
Incremental AUROC (full-covars): 0.00242
PGS R2 (no covariates): 0.00192
PGS AUROC (no covariates): 0.53573 [0.50331, 0.56815]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008001 PGS001048
(GBE_HC1576)
PSS004290|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: AD NSTEMI AUROC: 0.73853 [0.70755, 0.76951] : 0.08258
Incremental AUROC (full-covars): -0.0018
PGS R2 (no covariates): 0.00033
PGS AUROC (no covariates): 0.5125 [0.47119, 0.55382]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008002 PGS001048
(GBE_HC1576)
PSS004291|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: AD NSTEMI AUROC: 0.72145 [0.70591, 0.73699] : 0.06213
Incremental AUROC (full-covars): 0.004
PGS R2 (no covariates): 0.00234
PGS AUROC (no covariates): 0.54042 [0.52208, 0.55876]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008820 PGS001263
(GBE_HC440)
PSS004501|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Atrial flutter AUROC: 0.76033 [0.71757, 0.80309] : 0.10534
Incremental AUROC (full-covars): 0.00055
PGS R2 (no covariates): 0.00351
PGS AUROC (no covariates): 0.54665 [0.4962, 0.5971]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008821 PGS001263
(GBE_HC440)
PSS004502|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Atrial flutter AUROC: 0.82631 [0.7516, 0.90103] : 0.15678
Incremental AUROC (full-covars): 0.02031
PGS R2 (no covariates): 0.01354
PGS AUROC (no covariates): 0.59968 [0.4662, 0.73316]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008822 PGS001263
(GBE_HC440)
PSS004503|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Atrial flutter AUROC: 0.78179 [0.76842, 0.79516] : 0.1422
Incremental AUROC (full-covars): 0.02171
PGS R2 (no covariates): 0.02517
PGS AUROC (no covariates): 0.61716 [0.59934, 0.63498]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008823 PGS001263
(GBE_HC440)
PSS004504|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Atrial flutter AUROC: 0.73743 [0.69955, 0.77531] : 0.09462
Incremental AUROC (full-covars): -0.00059
PGS R2 (no covariates): 0.00793
PGS AUROC (no covariates): 0.57035 [0.52788, 0.61283]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM008824 PGS001263
(GBE_HC440)
PSS004505|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Atrial flutter AUROC: 0.76368 [0.75572, 0.77165] : 0.12819
Incremental AUROC (full-covars): 0.02207
PGS R2 (no covariates): 0.02215
PGS AUROC (no covariates): 0.60821 [0.59797, 0.61845]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009063 PGS001314
(GBE_HC938)
PSS004721|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE acute myocardial infarction AUROC: 0.70154 [0.65456, 0.74852] : 0.05819
Incremental AUROC (full-covars): 0.00259
PGS R2 (no covariates): 0.00375
PGS AUROC (no covariates): 0.54944 [0.49708, 0.6018]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009064 PGS001314
(GBE_HC938)
PSS004722|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE acute myocardial infarction AUROC: 0.75783 [0.66508, 0.85058] : 0.11318
Incremental AUROC (full-covars): -0.01214
PGS R2 (no covariates): 4e-05
PGS AUROC (no covariates): 0.50047 [0.38016, 0.62077]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009065 PGS001314
(GBE_HC938)
PSS004723|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE acute myocardial infarction AUROC: 0.77705 [0.76156, 0.79255] : 0.12586
Incremental AUROC (full-covars): 0.00931
PGS R2 (no covariates): 0.01217
PGS AUROC (no covariates): 0.59003 [0.56941, 0.61066]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009066 PGS001314
(GBE_HC938)
PSS004724|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE acute myocardial infarction AUROC: 0.77134 [0.75168, 0.791] : 0.14992
Incremental AUROC (full-covars): 0.00612
PGS R2 (no covariates): 0.00867
PGS AUROC (no covariates): 0.56612 [0.54027, 0.59198]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009067 PGS001314
(GBE_HC938)
PSS004725|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE acute myocardial infarction AUROC: 0.76117 [0.75218, 0.77016] : 0.11781
Incremental AUROC (full-covars): 0.00966
PGS R2 (no covariates): 0.01066
PGS AUROC (no covariates): 0.57977 [0.56827, 0.59127]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009068 PGS001315
(GBE_HC326)
PSS004447|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Heart attack (MI) AUROC: 0.69844 [0.6569, 0.73997] : 0.06159
Incremental AUROC (full-covars): -0.00208
PGS R2 (no covariates): 0.00235
PGS AUROC (no covariates): 0.54374 [0.49552, 0.59197]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009069 PGS001315
(GBE_HC326)
PSS004448|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Heart attack (MI) AUROC: 0.77737 [0.69516, 0.85958] : 0.12911
Incremental AUROC (full-covars): -0.00257
PGS R2 (no covariates): 0.00655
PGS AUROC (no covariates): 0.55983 [0.43749, 0.68218]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009070 PGS001315
(GBE_HC326)
PSS004449|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Heart attack (MI) AUROC: 0.77933 [0.76476, 0.79391] : 0.13255
Incremental AUROC (full-covars): 0.00791
PGS R2 (no covariates): 0.0101
PGS AUROC (no covariates): 0.58124 [0.56203, 0.60045]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009071 PGS001315
(GBE_HC326)
PSS004450|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Heart attack (MI) AUROC: 0.76924 [0.75056, 0.78793] : 0.15526
Incremental AUROC (full-covars): 0.00484
PGS R2 (no covariates): 0.00641
PGS AUROC (no covariates): 0.55598 [0.53163, 0.58034]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009072 PGS001315
(GBE_HC326)
PSS004451|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Heart attack (MI) AUROC: 0.75834 [0.74967, 0.76701] : 0.11912
Incremental AUROC (full-covars): 0.01051
PGS R2 (no covariates): 0.0122
PGS AUROC (no covariates): 0.58432 [0.57339, 0.59525]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009073 PGS001316
(GBE_HC1574)
PSS004282|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: AD myocardial infarction AUROC: 0.70025 [0.65881, 0.74169] : 0.06323
Incremental AUROC (full-covars): -0.00109
PGS R2 (no covariates): 0.00341
PGS AUROC (no covariates): 0.55032 [0.50157, 0.59907]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009074 PGS001316
(GBE_HC1574)
PSS004283|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: AD myocardial infarction AUROC: 0.77563 [0.69186, 0.85939] : 0.13082
Incremental AUROC (full-covars): -0.00431
PGS R2 (no covariates): 0.00883
PGS AUROC (no covariates): 0.56569 [0.44162, 0.68977]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009075 PGS001316
(GBE_HC1574)
PSS004284|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: AD myocardial infarction AUROC: 0.77999 [0.76527, 0.7947] : 0.13319
Incremental AUROC (full-covars): 0.0073
PGS R2 (no covariates): 0.00977
PGS AUROC (no covariates): 0.57998 [0.56066, 0.59929]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009076 PGS001316
(GBE_HC1574)
PSS004285|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: AD myocardial infarction AUROC: 0.76882 [0.75001, 0.78764] : 0.15463
Incremental AUROC (full-covars): 0.0037
PGS R2 (no covariates): 0.00504
PGS AUROC (no covariates): 0.54779 [0.52311, 0.57248]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009077 PGS001316
(GBE_HC1574)
PSS004286|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: AD myocardial infarction AUROC: 0.75963 [0.75098, 0.76829] : 0.12014
Incremental AUROC (full-covars): 0.01074
PGS R2 (no covariates): 0.01247
PGS AUROC (no covariates): 0.58557 [0.57459, 0.59655]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009078 PGS001317
(GBE_BIN_FC1006150)
PSS003775|
African Ancestry|
3,906 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Vascular/heart problems diagnosed by doctor Heart attack AUROC: 0.72462 [0.66421, 0.78503] : 0.08703
Incremental AUROC (full-covars): -0.01046
PGS R2 (no covariates): 0.0002
PGS AUROC (no covariates): 0.50663 [0.44094, 0.57232]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009079 PGS001317
(GBE_BIN_FC1006150)
PSS003776|
East Asian Ancestry|
1,308 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Vascular/heart problems diagnosed by doctor Heart attack AUROC: 0.78888 [0.66178, 0.91598] : 0.10419
Incremental AUROC (full-covars): -0.00694
PGS R2 (no covariates): 0.00068
PGS AUROC (no covariates): 0.53242 [0.37336, 0.69148]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009080 PGS001317
(GBE_BIN_FC1006150)
PSS003777|
European Ancestry|
18,556 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Vascular/heart problems diagnosed by doctor Heart attack AUROC: 0.82479 [0.80685, 0.84274] : 0.1758
Incremental AUROC (full-covars): 0.00552
PGS R2 (no covariates): 0.00895
PGS AUROC (no covariates): 0.5766 [0.55039, 0.60282]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009081 PGS001317
(GBE_BIN_FC1006150)
PSS003778|
South Asian Ancestry|
5,342 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Vascular/heart problems diagnosed by doctor Heart attack AUROC: 0.82696 [0.80387, 0.85004] : 0.22573
Incremental AUROC (full-covars): 0.00709
PGS R2 (no covariates): 0.00972
PGS AUROC (no covariates): 0.57536 [0.54237, 0.60835]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009082 PGS001317
(GBE_BIN_FC1006150)
PSS003779|
European Ancestry|
48,989 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Vascular/heart problems diagnosed by doctor Heart attack AUROC: 0.82191 [0.8123, 0.83152] : 0.18282
Incremental AUROC (full-covars): 0.01045
PGS R2 (no covariates): 0.01654
PGS AUROC (no covariates): 0.60058 [0.58663, 0.61453]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009181 PGS001339
(GBE_HC964)
PSS004746|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE atrial fibrillation and flutter AUROC: 0.75135 [0.70951, 0.7932] : 0.09804
Incremental AUROC (full-covars): -0.00345
PGS R2 (no covariates): 0.00273
PGS AUROC (no covariates): 0.53955 [0.48964, 0.58946]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009182 PGS001339
(GBE_HC964)
PSS004747|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE atrial fibrillation and flutter AUROC: 0.8247 [0.75141, 0.898] : 0.15451
Incremental AUROC (full-covars): 0.0187
PGS R2 (no covariates): 0.01158
PGS AUROC (no covariates): 0.59663 [0.46689, 0.72636]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009183 PGS001339
(GBE_HC964)
PSS004748|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE atrial fibrillation and flutter AUROC: 0.77656 [0.76352, 0.7896] : 0.14023
Incremental AUROC (full-covars): 0.02188
PGS R2 (no covariates): 0.02447
PGS AUROC (no covariates): 0.613 [0.59591, 0.6301]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009184 PGS001339
(GBE_HC964)
PSS004749|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE atrial fibrillation and flutter AUROC: 0.73999 [0.70422, 0.77576] : 0.09669
Incremental AUROC (full-covars): -0.00357
PGS R2 (no covariates): 0.00629
PGS AUROC (no covariates): 0.56035 [0.51988, 0.60082]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009185 PGS001339
(GBE_HC964)
PSS004750|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: TTE atrial fibrillation and flutter AUROC: 0.76362 [0.75604, 0.7712] : 0.133
Incremental AUROC (full-covars): 0.02354
PGS R2 (no covariates): 0.0246
PGS AUROC (no covariates): 0.6108 [0.60113, 0.62048]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009186 PGS001340
(GBE_HC281)
PSS004413|
African Ancestry|
6,497 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Atrial fibrillation AUROC: 0.75367 [0.71087, 0.79646] : 0.10139
Incremental AUROC (full-covars): -0.00517
PGS R2 (no covariates): 0.00295
PGS AUROC (no covariates): 0.5427 [0.49184, 0.59356]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009187 PGS001340
(GBE_HC281)
PSS004414|
East Asian Ancestry|
1,704 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Atrial fibrillation AUROC: 0.82329 [0.75147, 0.89511] : 0.15391
Incremental AUROC (full-covars): 0.01729
PGS R2 (no covariates): 0.01132
PGS AUROC (no covariates): 0.5932 [0.45826, 0.72815]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009188 PGS001340
(GBE_HC281)
PSS004415|
European Ancestry|
24,905 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Atrial fibrillation AUROC: 0.77562 [0.76201, 0.78924] : 0.13687
Incremental AUROC (full-covars): 0.02036
PGS R2 (no covariates): 0.02331
PGS AUROC (no covariates): 0.61305 [0.59537, 0.63074]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009189 PGS001340
(GBE_HC281)
PSS004416|
South Asian Ancestry|
7,831 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Atrial fibrillation AUROC: 0.73506 [0.69832, 0.7718] : 0.09299
Incremental AUROC (full-covars): -0.00714
PGS R2 (no covariates): 0.00594
PGS AUROC (no covariates): 0.56086 [0.51842, 0.60331]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM009190 PGS001340
(GBE_HC281)
PSS004417|
European Ancestry|
67,425 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: Atrial fibrillation AUROC: 0.76157 [0.75368, 0.76945] : 0.12768
Incremental AUROC (full-covars): 0.02194
PGS R2 (no covariates): 0.02239
PGS AUROC (no covariates): 0.60727 [0.59722, 0.61733]
age, sex, UKB array type, Genotype PCs Full Model & PGS R2 is estimated using Nagelkerke's method
PPM005187 PGS001355
(CAD_AnnoPre