Trait: coronary artery disease

Experimental Factor Ontology (EFO) Information
Identifier EFO_0001645
Description Narrowing of the coronary arteries due to fatty deposits inside the arterial walls. The diagnostic criteria may include documented history of any of the following: documented coronary artery stenosis greater than or equal to 50% (by cardiac catheterization or other modality of direct imaging of the coronary arteries); previous coronary artery bypass surgery (CABG); previous percutaneous coronary intervention (PCI); previous myocardial infarction. (ACC) [NCIT: C26732]
Trait category
Cardiovascular disease
Synonyms 39 synonyms
  • Arterioscleroses, Coronary
  • Arteriosclerosis, Coronary
  • Artery Disease, Coronary
  • Artery Diseases, Coronary
  • Atheroscleroses, Coronary
  • Atherosclerosis, Coronary
  • CAD
  • CHD
  • CHD (coronary heart disease)
  • CHD - Coronary heart disease
  • CORONARY ARTERY DIS
  • CORONARY DIS
  • CORONARY HEART DIS
  • Coronary Arterioscleroses
  • Coronary Arteriosclerosis
  • Coronary Artery Disease
  • Coronary Artery Diseases
  • Coronary Atheroscleroses
  • Coronary Atherosclerosis
  • Coronary Disease
  • Coronary Diseases
  • Coronary Heart Diseases
  • Disease, Coronary
  • Disease, Coronary Artery
  • Disease, Coronary Heart
  • Diseases, Coronary
  • Diseases, Coronary Artery
  • Diseases, Coronary Heart
  • Heart Disease, Coronary
  • Heart Diseases, Coronary
  • coronary arteriosclerosis
  • coronary artery disease
  • coronary artery disease or disorder
  • coronary artery disorder
  • coronary disease
  • coronary heart disease
  • disease of coronary artery
  • disease or disorder of coronary artery
  • disorder of coronary artery
Mapped terms 24 mapped terms
  • DOID:3393
  • ICD10:I25
  • ICD9:410-414.99
  • ICD9:414.0
  • ICD9:414.9
  • MESH:D003324
  • MESH:D017202
  • MONDO:0005010
  • MedDRA:10011078
  • NCIT:C26732
  • NCIt:C26732
  • NCIt:C50625
  • OMIM:608320
  • OMIM:608901
  • OMIM:610938
  • OMIM:614466
  • OMIM:617347
  • SCTID:414024009
  • SCTID:414545008
  • SNOMEDCT:414545008
  • SNOMEDCT:443502000
  • SNOMEDCT:53741008
  • UMLS:C0151744
  • UMLS:C1956346
Child trait(s) 2 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 "coronary artery disease" and any child terms of this trait in the EFO hierarchy by default.
Polygenic Score ID & Name PGS Publication ID (PGP) Reported Trait Mapped Trait(s) (Ontology) Number of Variants Ancestry distribution Scoring File (FTP Link)
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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

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
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)
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
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]
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).
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]
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
PPM005187 PGS001355
(CAD_AnnoPred_PRS)
PSS003605|
European Ancestry|
176,238 individuals
PGP000252 |
Ye Y et al. Circ Genom Precis Med (2021)
Reported Trait: Coronary artery disease AUROC: 0.6425 Age, sex, PCs(1-10)
PPM019106 PGS001355
(CAD_AnnoPred_PRS)
PSS011183|
European Ancestry|
166,714 individuals
PGP000506 |
Jowell A et al. Eur J Prev Cardiol (2023)
|Ext.
Reported Trait: Family history of heart disease OR: 1.17 [1.16, 1.19]
PPM009286 PGS001780
(CHD_PRSCS)
PSS007689|
European Ancestry|
343,672 individuals
PGP000261 |
Tamlander M et al. Commun Biol (2022)
Reported Trait: Prevalent coronary heart disease OR: 1.77 [1.73, 1.8] AUROC: 0.811 [0.808, 0.815] year of birth, sex
PPM009276 PGS001780
(CHD_PRSCS)
PSS007681|
European Ancestry|
309,154 individuals
PGP000261 |
Tamlander M et al. Commun Biol (2022)
Reported Trait: Coronary heart disease (incident and prevalent) OR: 1.56 [1.53, 1.58] AUROC: 0.871 [0.869, 0.873] year of birth, sex, ten first principal components of Finnish ancestry, batch, genotyping array
PPM009278 PGS001780
(CHD_PRSCS)
PSS007687|
European Ancestry|
343,672 individuals
PGP000261 |
Tamlander M et al. Commun Biol (2022)
Reported Trait: Coronary heart disease (incident and prevalent) OR: 1.72 [1.7, 1.75] AUROC: 0.792 [0.789, 0.795] year of birth, sex
PPM009282 PGS001780
(CHD_PRSCS)
PSS007688|
European Ancestry|
332,370 individuals
PGP000261 |
Tamlander M et al. Commun Biol (2022)
Reported Trait: Incident coronary heart disease OR: 1.61 [1.57, 1.65] AUROC: 0.756 [0.751, 0.761] year of birth, sex
PPM009284 PGS001780
(CHD_PRSCS)
PSS007683|
European Ancestry|
309,154 individuals
PGP000261 |
Tamlander M et al. Commun Biol (2022)
Reported Trait: Prevalent coronary heart disease OR: 1.59 [1.57, 1.62] AUROC: 0.869 [0.867, 0.871] year of birth, sex, ten first principal components of Finnish ancestry, batch, genotyping array
PPM009280 PGS001780
(CHD_PRSCS)
PSS007682|
European Ancestry|
291,720 individuals
PGP000261 |
Tamlander M et al. Commun Biol (2022)
Reported Trait: Incident coronary heart disease OR: 1.44 [1.41, 1.47] AUROC: 0.913 [0.911, 0.916] year of birth, sex, ten first principal components of Finnish ancestry, batch, genotyping array
PPM009602 PGS001839
(portability-PLR_411.4)
PSS009311|
European Ancestry|
19,308 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Coronary atherosclerosis Partial Correlation (partial-r): 0.1021 [0.0881, 0.1161] sex, age, birth date, deprivation index, 16 PCs
PPM009603 PGS001839
(portability-PLR_411.4)
PSS009085|
European Ancestry|
4,021 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Coronary atherosclerosis Partial Correlation (partial-r): 0.1391 [0.1086, 0.1693] sex, age, birth date, deprivation index, 16 PCs
PPM009604 PGS001839
(portability-PLR_411.4)
PSS008639|
European Ancestry|
6,492 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Coronary atherosclerosis Partial Correlation (partial-r): 0.0994 [0.0753, 0.1235] sex, age, birth date, deprivation index, 16 PCs
PPM009605 PGS001839
(portability-PLR_411.4)
PSS008413|
Greater Middle Eastern Ancestry|
1,158 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Coronary atherosclerosis Partial Correlation (partial-r): 0.0815 [0.0235, 0.1389] sex, age, birth date, deprivation index, 16 PCs
PPM009607 PGS001839
(portability-PLR_411.4)
PSS007975|
East Asian Ancestry|
1,794 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Coronary atherosclerosis Partial Correlation (partial-r): 0.0452 [-0.0014, 0.0915] sex, age, birth date, deprivation index, 16 PCs
PPM009608 PGS001839
(portability-PLR_411.4)
PSS007758|
African Ancestry|
2,396 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Coronary atherosclerosis Partial Correlation (partial-r): 0.0269 [-0.0133, 0.067] sex, age, birth date, deprivation index, 16 PCs
PPM009609 PGS001839
(portability-PLR_411.4)
PSS008862|
African Ancestry|
3,793 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Coronary atherosclerosis Partial Correlation (partial-r): 0.0157 [-0.0163, 0.0475] sex, age, birth date, deprivation index, 16 PCs
PPM009606 PGS001839
(portability-PLR_411.4)
PSS008193|
South Asian Ancestry|
6,070 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Coronary atherosclerosis Partial Correlation (partial-r): 0.1113 [0.0863, 0.1361] sex, age, birth date, deprivation index, 16 PCs
PPM011246 PGS002048
(portability-ldpred2_411.4)
PSS009311|
European Ancestry|
19,308 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Coronary atherosclerosis Partial Correlation (partial-r): 0.1078 [0.0938, 0.1217] sex, age, birth date, deprivation index, 16 PCs
PPM011247 PGS002048
(portability-ldpred2_411.4)
PSS009085|
European Ancestry|
4,021 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Coronary atherosclerosis Partial Correlation (partial-r): 0.1435 [0.113, 0.1737] sex, age, birth date, deprivation index, 16 PCs
PPM011248 PGS002048
(portability-ldpred2_411.4)
PSS008639|
European Ancestry|
6,492 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Coronary atherosclerosis Partial Correlation (partial-r): 0.1061 [0.0819, 0.1301] sex, age, birth date, deprivation index, 16 PCs
PPM011250 PGS002048
(portability-ldpred2_411.4)
PSS008193|
South Asian Ancestry|
6,070 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Coronary atherosclerosis Partial Correlation (partial-r): 0.1246 [0.0997, 0.1493] sex, age, birth date, deprivation index, 16 PCs
PPM011251 PGS002048
(portability-ldpred2_411.4)
PSS007975|
East Asian Ancestry|
1,794 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Coronary atherosclerosis Partial Correlation (partial-r): 0.0522 [0.0057, 0.0985] sex, age, birth date, deprivation index, 16 PCs
PPM011252 PGS002048
(portability-ldpred2_411.4)
PSS007758|
African Ancestry|
2,396 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Coronary atherosclerosis Partial Correlation (partial-r): 0.0358 [-0.0044, 0.0759] sex, age, birth date, deprivation index, 16 PCs
PPM011253 PGS002048
(portability-ldpred2_411.4)
PSS008862|
African Ancestry|
3,793 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Coronary atherosclerosis Partial Correlation (partial-r): 0.01 [-0.0219, 0.0419] sex, age, birth date, deprivation index, 16 PCs
PPM011249 PGS002048
(portability-ldpred2_411.4)
PSS008413|
Greater Middle Eastern Ancestry|
1,158 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Coronary atherosclerosis Partial Correlation (partial-r): 0.0727 [0.0146, 0.1302] sex, age, birth date, deprivation index, 16 PCs
PPM012736 PGS002244
(ldpred_cad)
PSS009517|
European Ancestry|
110,597 individuals
PGP000271 |
Mars N et al. Cell Genom (2022)
Reported Trait: Coronary artery disease OR: 1.47 [1.43, 1.52] age, sex, 10 PCs (+/- dataset-specific technical covariates)
PPM012740 PGS002244
(ldpred_cad)
PSS009513|
East Asian Ancestry|
178,726 individuals
PGP000271 |
Mars N et al. Cell Genom (2022)
Reported Trait: Coronary artery disease OR: 1.32 [1.3, 1.34] age, sex, 10 PCs (+/- dataset-specific technical covariates)
PPM012744 PGS002244
(ldpred_cad)
PSS009525|
European Ancestry|
69,422 individuals
PGP000271 |
Mars N et al. Cell Genom (2022)
Reported Trait: Coronary artery disease OR: 1.44 [1.4, 1.48] birth year, sex, 10 PCs (+/- dataset-specific technical covariates)
PPM012752 PGS002244
(ldpred_cad)
PSS009529|
African Ancestry|
1,535 individuals
PGP000271 |
Mars N et al. Cell Genom (2022)
Reported Trait: Coronary artery disease OR: 1.1 [0.96, 1.26] age, sex, 10 PCs (+/- dataset-specific technical covariates)
PPM012756 PGS002244
(ldpred_cad)
PSS009541|
European Ancestry|
343,676 individuals
PGP000271 |
Mars N et al. Cell Genom (2022)
Reported Trait: Coronary artery disease OR: 1.64 [1.61, 1.67] age, sex, 10 PCs (+/- dataset-specific technical covariates)
PPM012761 PGS002244
(ldpred_cad)
PSS009537|
African Ancestry|
7,618 individuals
PGP000271 |
Mars N et al. Cell Genom (2022)
Reported Trait: Coronary artery disease OR: 1.32 [1.13, 1.54] age, sex, 10 PCs (+/- dataset-specific technical covariates)
PPM012766 PGS002244
(ldpred_cad)
PSS009545|
South Asian Ancestry|
7,628 individuals
PGP000271 |
Mars N et al. Cell Genom (2022)
Reported Trait: Coronary artery disease OR: 1.41 [1.3, 1.53] age, sex, 10 PCs (+/- dataset-specific technical covariates)
PPM012732 PGS002244
(ldpred_cad)
PSS009521|
European Ancestry|
258,402 individuals
PGP000271 |
Mars N et al. Cell Genom (2022)
Reported Trait: Coronary artery disease OR: 1.53 [1.5, 1.55] age, sex, 10 PCs (+/- dataset-specific technical covariates)
PPM012748 PGS002244
(ldpred_cad)
PSS009533|
European Ancestry|
25,696 individuals
PGP000271 |
Mars N et al. Cell Genom (2022)
Reported Trait: Coronary artery disease OR: 1.35 [1.29, 1.4] age, sex, 10 PCs (+/- dataset-specific technical covariates)
PPM020276 PGS002244
(ldpred_cad)
PSS011318|
African Ancestry|
18,505 individuals
PGP000536 |
Vassy JL et al. JAMA Cardiol (2023)
|Ext.
Reported Trait: Incident myocardial infarction HR: 1.1 [1.02, 1.19] age, sex, and principal components of genetic ancestry
PPM020277 PGS002244
(ldpred_cad)
PSS011319|
Hispanic or Latin American Ancestry|
6,785 individuals
PGP000536 |
Vassy JL et al. JAMA Cardiol (2023)
|Ext.
Reported Trait: Incident myocardial infarction HR: 1.26 [1.09, 1.46] age, sex, and principal components of genetic ancestry
PPM020278 PGS002244
(ldpred_cad)
PSS011320|
European Ancestry|
53,861 individuals
PGP000536 |
Vassy JL et al. JAMA Cardiol (2023)
|Ext.
Reported Trait: Incident myocardial infarction HR: 1.23 [1.18, 1.29] age, sex, and principal components of genetic ancestry
PPM012875 PGS002262
(metaPRS_CAD)
PSS009589|
East Asian Ancestry|
41,271 individuals
PGP000289 |
Lu X et al. Eur Heart J (2022)
Reported Trait: Incident coronary artery disease HR: 1.44 [1.36, 1.52] C-index: 0.615 [0.598, 0.631]
PPM012876 PGS002262
(metaPRS_CAD)
PSS009589|
East Asian Ancestry|
41,271 individuals
PGP000289 |
Lu X et al. Eur Heart J (2022)
Reported Trait: Incident coronary artery disease Hazard Ratio (HR, highest vs lowest quintile): 2.91 [2.43, 3.49]
PPM012877 PGS002262
(metaPRS_CAD)
PSS009589|
East Asian Ancestry|
41,271 individuals
PGP000289 |
Lu X et al. Eur Heart J (2022)
Reported Trait: Incident coronary artery disease (men) Hazard Ratio (HR, highest vs lowest quintile): 3.88 [2.94, 5.13] sex and first 4 PCs
PPM012878 PGS002262
(metaPRS_CAD)
PSS009589|
East Asian Ancestry|
41,271 individuals
PGP000289 |
Lu X et al. Eur Heart J (2022)
Reported Trait: Incident coronary artery disease (women) Hazard Ratio (HR, highest vs lowest quintile): 2.27 [1.78, 2.9] sex and first 4 PCs
PPM012879 PGS002262
(metaPRS_CAD)
PSS009589|
East Asian Ancestry|
41,271 individuals
PGP000289 |
Lu X et al. Eur Heart J (2022)
Reported Trait: Coronary artery disease Hazard Ratio (HR, highest vs lowest quintile): 5.66 [3.98, 8.04] sex, first 4 PCs and CAD family history
PPM014975 PGS002775
(GTG_CAD_maxCT)
PSS009941|
European Ancestry|
16,374 individuals
PGP000365 |
Wong CK et al. PLoS One (2022)
Reported Trait: Incident coronary artery disease OR: 1.29 [1.24, 1.35] AUROC: 0.572 [0.56, 0.584]
PPM014976 PGS002776
(GTG_CAD_SCT)
PSS009941|
European Ancestry|
16,374 individuals
PGP000365 |
Wong CK et al. PLoS One (2022)
Reported Trait: Incident coronary artery disease OR: 1.36 [1.31, 1.42] AUROC: 0.587 [0.576, 0.599]
PPM015577 PGS002809
(GRS_CAD)
PSS009989|
European Ancestry|
360,098 individuals
PGP000388 |
Ahmed R et al. Int J Cardiol Heart Vasc (2022)
Reported Trait: Incident coronary artery disease Hazard ratio (HR, >=3 vs <0.5 risk): 3.02 [2.73, 3.33] Calculated as Population‐standardized GRS
PPM015578 PGS002809
(GRS_CAD)
PSS009989|
European Ancestry|
360,098 individuals
PGP000388 |
Ahmed R et al. Int J Cardiol Heart Vasc (2022)
Reported Trait: Incident coronary artery disease in subjects with borderline-/intermediate-ASCVD risk Hazard ratio (HR, >=3 vs <0.5 risk): 2.91 [2.59, 3.26]
PPM016212 PGS003355
(1MH_CAD_PRS_2015_Ldpred)
PSS010059|
European Ancestry|
14,298 individuals
PGP000409 |
Aragam KG et al. Nat Genet (2022)
Reported Trait: Recurrent coronary artery disease HR: 1.13 [1.04, 1.22] age, sex and ancestry (PCs 1-5)
PPM016210 PGS003355
(1MH_CAD_PRS_2015_Ldpred)
PSS010060|
Ancestry Not Reported|
5,685 individuals
PGP000409 |
Aragam KG et al. Nat Genet (2022)
Reported Trait: Incident coronary artery disease HR: 1.49 [1.39, 1.59] age, sex and ancestry (PCs 1-5)
PPM016211 PGS003356
(1MH_CAD_PRS_2022_Ldpred)
PSS010059|
European Ancestry|
14,298 individuals
PGP000409 |
Aragam KG et al. Nat Genet (2022)
Reported Trait: Recurrent coronary artery disease HR: 1.2 [1.11, 1.29] age, sex and ancestry (PCs 1-5)
PPM016208 PGS003356
(1MH_CAD_PRS_2022_Ldpred)
PSS010060|
Ancestry Not Reported|
5,685 individuals
PGP000409 |
Aragam KG et al. Nat Genet (2022)
Reported Trait: Incident coronary artery disease HR: 1.61 [1.5, 1.72] age, sex and ancestry (PCs 1-5)
PPM016209 PGS003356
(1MH_CAD_PRS_2022_Ldpred)
PSS010060|
Ancestry Not Reported|
5,685 individuals
PGP000409 |
Aragam KG et al. Nat Genet (2022)
Reported Trait: Incident coronary artery disease HR: 1.54 age, sex and ancestry (PCs 1–5), established risk factors for CAD (total cholesterol, HDL cholesterol, systolic blood pressure, body mass index, type 2 diabetes, current smoking status and family history of CAD)
PPM020882 PGS003356
(1MH_CAD_PRS_2022_Ldpred)
PSS011442|
European Ancestry|
564 individuals
PGP000599 |
Guarischi-Sousa R et al. Circ Genom Precis Med (2023)
|Ext.
Reported Trait: Raised coronary lesion OR: 1.44 [1.18, 1.76]
PPM020897 PGS003356
(1MH_CAD_PRS_2022_Ldpred)
PSS011441|
African Ancestry|
504 individuals
PGP000599 |
Guarischi-Sousa R et al. Circ Genom Precis Med (2023)
|Ext.
Reported Trait: Raised coronary lesion OR: 1.0 [0.81, 1.24]
PPM017150 PGS003438
(PRS241_CAD)
PSS010137|
European Ancestry|
330,201 individuals
PGP000440 |
Marston NA et al. JAMA Cardiol (2023)
Reported Trait: Myocardial infarction HR: 1.07 [1.06, 1.08]
PPM017151 PGS003438
(PRS241_CAD)
PSS010137|
European Ancestry|
330,201 individuals
PGP000440 |
Marston NA et al. JAMA Cardiol (2023)
Reported Trait: Myocardial infarction in >60 years HR: 1.42 [1.37, 1.48]
PPM017152 PGS003438
(PRS241_CAD)
PSS010137|
European Ancestry|
330,201 individuals
PGP000440 |
Marston NA et al. JAMA Cardiol (2023)
Reported Trait: Myocardial infarction in aged 50-60 years HR: 1.46 [1.38, 1.53]
PPM017153 PGS003438
(PRS241_CAD)
PSS010137|
European Ancestry|
330,201 individuals
PGP000440 |
Marston NA et al. JAMA Cardiol (2023)
Reported Trait: Myocardial infarction in < 50 years HR: 1.72 [1.56, 1.89]
PPM017154 PGS003438
(PRS241_CAD)
PSS010137|
European Ancestry|
330,201 individuals
PGP000440 |
Marston NA et al. JAMA Cardiol (2023)
Reported Trait: Atherosclerotic Cardiovascular Disease (ASCVD) events C-index: 0.74 [0.73, 0.74]
PPM017155 PGS003438
(PRS241_CAD)
PSS010137|
European Ancestry|
330,201 individuals
PGP000440 |
Marston NA et al. JAMA Cardiol (2023)
Reported Trait: Atherosclerotic Cardiovascular Disease (ASCVD) events in >60 years C-index: 0.68 [0.67, 0.69]
PPM017156 PGS003438
(PRS241_CAD)
PSS010137|
European Ancestry|
330,201 individuals
PGP000440 |
Marston NA et al. JAMA Cardiol (2023)
Reported Trait: Atherosclerotic Cardiovascular Disease (ASCVD) events in aged 50-60 years C-index: 0.71 [0.7, 0.73]
PPM017157 PGS003438
(PRS241_CAD)
PSS010137|
European Ancestry|
330,201 individuals
PGP000440 |
Marston NA et al. JAMA Cardiol (2023)
Reported Trait: Atherosclerotic Cardiovascular Disease (ASCVD) events in < 50 years C-index: 0.76 [0.73, 0.78]
PPM017186 PGS003446
(TEM_CAD_PRS)
PSS010158|
African Ancestry|
17,072 individuals
PGP000446 |
Tcheandjieu C et al. Nat Med (2022)
Reported Trait: Coronary artery disease OR: 1.21 [1.15, 1.28]
PPM017187 PGS003446
(TEM_CAD_PRS)
PSS010159|
Hispanic or Latin American Ancestry|
6,314 individuals
PGP000446 |
Tcheandjieu C et al. Nat Med (2022)
Reported Trait: Coronary artery disease OR: 1.43 [1.27, 1.61]
PPM017185 PGS003446
(TEM_CAD_PRS)
PSS010163|
European Ancestry|
67,738 individuals
PGP000446 |
Tcheandjieu C et al. Nat Med (2022)
Reported Trait: Coronary artery disease OR: 1.35 [1.31, 138.0]
PPM018420 PGS003725
(GPS_Mult)
PSS010961|
African Ancestry|
7,281 individuals
PGP000466 |
Patel AP et al. Nat Med (2023)
Reported Trait: Coronary artery disease HR: 1.25 [1.07, 1.46]
OR: 1.39 [1.17, 1.67]
age, sex and the first ten principal components of genetic ancestry
PPM018421 PGS003725
(GPS_Mult)
PSS010962|
East Asian Ancestry|
1,464 individuals
PGP000466 |
Patel AP et al. Nat Med (2023)
Reported Trait: Coronary artery disease HR: 1.72 [1.13, 2.6]
OR: 2.14 [1.34, 3.49]
age, sex and the first ten principal components of genetic ancestry
PPM018419 PGS003725
(GPS_Mult)
PSS010960|
European Ancestry|
308,264 individuals
PGP000466 |
Patel AP et al. Nat Med (2023)
Reported Trait: Coronary artery disease HR: 1.75 [1.71, 1.78]
OR: 2.14 [2.1, 2.19]
age, sex and the first ten principal components of genetic ancestry
PPM018422 PGS003725
(GPS_Mult)
PSS010963|
South Asian Ancestry|
8,982 individuals
PGP000466 |
Patel AP et al. Nat Med (2023)
Reported Trait: Coronary artery disease HR: 1.62 [1.49, 1.77]
OR: 2.02 [1.83, 2.23]
age, sex and the first ten principal components of genetic ancestry
PPM018423 PGS003725
(GPS_Mult)
PSS010964|
African Ancestry|
33,096 individuals
PGP000466 |
Patel AP et al. Nat Med (2023)
Reported Trait: Coronary artery disease OR: 1.25 [1.21, 1.29] age, sex and the first ten principal components of genetic ancestry
PPM018424 PGS003725
(GPS_Mult)
PSS010965|
European Ancestry|
124,467 individuals
PGP000466 |
Patel AP et al. Nat Med (2023)
Reported Trait: Coronary artery disease OR: 1.72 [1.69, 1.75] age, sex and the first ten principal components of genetic ancestry
PPM018425 PGS003725
(GPS_Mult)
PSS010966|
Hispanic or Latin American Ancestry|
16,433 individuals
PGP000466 |
Patel AP et al. Nat Med (2023)
Reported Trait: Coronary artery disease OR: 1.61 [1.53, 1.7] age, sex and the first ten principal components of genetic ancestry
PPM018426 PGS003725
(GPS_Mult)
PSS010967|
South Asian Ancestry|
16,874 individuals
PGP000466 |
Patel AP et al. Nat Med (2023)
Reported Trait: Coronary artery disease OR: 1.83 [1.69, 1.99] age, sex and the first ten principal components of genetic ancestry
PPM018427 PGS003726
(GPS_CADANC)
PSS010960|
European Ancestry|
308,264 individuals
PGP000466 |
Patel AP et al. Nat Med (2023)
Reported Trait: Coronary artery disease HR: 1.73 [1.69, 1.76] age, sex and the first ten principal components of genetic ancestry
PPM018428 PGS003726
(GPS_CADANC)
PSS010961|
African Ancestry|
7,281 individuals
PGP000466 |
Patel AP et al. Nat Med (2023)
Reported Trait: Coronary artery disease HR: 1.18 [1.01, 1.37] age, sex and the first ten principal components of genetic ancestry
PPM018430 PGS003726
(GPS_CADANC)
PSS010963|
South Asian Ancestry|
8,982 individuals
PGP000466 |
Patel AP et al. Nat Med (2023)
Reported Trait: Coronary artery disease HR: 1.6 [1.47, 1.74] age, sex and the first ten principal components of genetic ancestry
PPM018429 PGS003726
(GPS_CADANC)
PSS010962|
East Asian Ancestry|
1,464 individuals
PGP000466 |
Patel AP et al. Nat Med (2023)
Reported Trait: Coronary artery disease HR: 1.64 [1.09, 2.48] age, sex and the first ten principal components of genetic ancestry
PPM018431 PGS003727
(GPS_CADEUR)
PSS010960|
European Ancestry|
308,264 individuals
PGP000466 |
Patel AP et al. Nat Med (2023)
Reported Trait: Coronary artery disease HR: 1.67 [1.64, 1.7] age, sex and the first ten principal components of genetic ancestry
PPM018432 PGS003727
(GPS_CADEUR)
PSS010961|
African Ancestry|
7,281 individuals
PGP000466 |
Patel AP et al. Nat Med (2023)
Reported Trait: Coronary artery disease HR: 1.15 [0.99, 1.34] age, sex and the first ten principal components of genetic ancestry
PPM018433 PGS003727
(GPS_CADEUR)
PSS010962|
East Asian Ancestry|
1,464 individuals
PGP000466 |
Patel AP et al. Nat Med (2023)
Reported Trait: Coronary artery disease HR: 1.54 [1.03, 2.32] age, sex and the first ten principal components of genetic ancestry
PPM018434 PGS003727
(GPS_CADEUR)
PSS010963|
South Asian Ancestry|
8,982 individuals
PGP000466 |
Patel AP et al. Nat Med (2023)
Reported Trait: Coronary artery disease HR: 1.57 [1.44, 1.7] age, sex and the first ten principal components of genetic ancestry
PPM018758 PGS003866
(CAD_lassosum2_ARB)
PSS011097|
Greater Middle Eastern Ancestry|
2,669 individuals
PGP000501 |
Shim I et al. Nature Communications (2023)
Reported Trait: Coronary artery disease OR: 1.51 [1.42, 1.61] AUROC: 0.795 [0.7768, 0.8132] age, sex, array version, and the first 10 principal components of ancestry
PPM020130 PGS004196
(cad_1)
PSS011296|
European Ancestry|
45,334 individuals
PGP000520 |
Raben TG et al. Sci Rep (2023)
Reported Trait: Coronary artery disease AUROC: 0.74561 year of birth, sex
PPM020131 PGS004197
(cad_2)
PSS011296|
European Ancestry|
45,334 individuals
PGP000520 |
Raben TG et al. Sci Rep (2023)
Reported Trait: Coronary artery disease AUROC: 0.75684 year of birth, sex
PPM020132 PGS004198
(cad_3)
PSS011296|
European Ancestry|
45,334 individuals
PGP000520 |
Raben TG et al. Sci Rep (2023)
Reported Trait: Coronary artery disease AUROC: 0.75212 year of birth, sex
PPM020133 PGS004199
(cad_4)
PSS011296|
European Ancestry|
45,334 individuals
PGP000520 |
Raben TG et al. Sci Rep (2023)
Reported Trait: Coronary artery disease AUROC: 0.75031 year of birth, sex
PPM020134 PGS004200
(cad_5)
PSS011296|
European Ancestry|
45,334 individuals
PGP000520 |
Raben TG et al. Sci Rep (2023)
Reported Trait: Lipoprotein A : 0.57648 year of birth, sex
PPM020258 PGS004237
(CAD_PRS_LDpred_UKB_Pub1)
PSS011313|
European Ancestry|
403,422 individuals
PGP000532 |
Manikpurage HD et al. Circ Genom Precis Med (2021)
Reported Trait: Prevalent Coronary Artery Disease OR: 1.56 [1.56, 1.58] AUROC: 0.766 : 0.158 Age, Sex and Genetic Principal Components (1 to 10)
PPM020259 PGS004237
(CAD_PRS_LDpred_UKB_Pub1)
PSS011313|
European Ancestry|
403,422 individuals
PGP000532 |
Manikpurage HD et al. Circ Genom Precis Med (2021)
Reported Trait: Prevalent Myocardial Infarction OR: 1.63 [1.6, 1.65] AUROC: 0.772 : 0.129 Age, Sex and Genetic Principal Components (1 to 10)
PPM020260 PGS004237
(CAD_PRS_LDpred_UKB_Pub1)
PSS011313|
European Ancestry|
403,422 individuals
PGP000532 |
Manikpurage HD et al. Circ Genom Precis Med (2021)
Reported Trait: Prevalent Myocardial Infarction and Coronary Revascularization procedure OR: 1.73 [1.7, 1.76] AUROC: 0.789 : 0.162 Age, Sex and Genetic Principal Components (1 to 10)
PPM020261 PGS004237
(CAD_PRS_LDpred_UKB_Pub1)
PSS011313|
European Ancestry|
403,422 individuals
PGP000532 |
Manikpurage HD et al. Circ Genom Precis Med (2021)
Reported Trait: Incident Myocardial Infarction HR: 1.53 [1.49, 1.56] C-index: 0.729 Age, Sex and Genetic Principal Components (1 to 10)
PPM020262 PGS004237
(CAD_PRS_LDpred_UKB_Pub1)
PSS011313|
European Ancestry|
403,422 individuals
PGP000532 |
Manikpurage HD et al. Circ Genom Precis Med (2021)
Reported Trait: Mortality HR: 1.08 [1.06, 1.09] Age, Sex and Genetic Principal Components (1 to 10)
PPM020426 PGS004321
(PRS27_CAD)
PSS011357|
European Ancestry|
14,298 individuals
PGP000554 |
Marston NA et al. Circulation (2019)
Reported Trait: Major vascular events (placebo arm) HR: 1.1 [1.03, 1.18]
PPM020427 PGS004321
(PRS27_CAD)
PSS011357|
European Ancestry|
14,298 individuals
PGP000554 |
Marston NA et al. Circulation (2019)
Reported Trait: Major coronary events (placebo arm) HR: 1.17 [1.08, 1.26]
PPM020428 PGS004321
(PRS27_CAD)
PSS011357|
European Ancestry|
14,298 individuals
PGP000554 |
Marston NA et al. Circulation (2019)
Reported Trait: Major vascular events (evolocumab vs placebo) p-value (pvalue, evolocumab and high PRS vs. placebo and low PRS): 0.07
PPM020558 PGS004443
(disease.CAD.score)
PSS011364|
European Ancestry|
56,192 individuals
PGP000561 |
Jung H et al. Commun Biol (2024)
Reported Trait: Coronary artery disease (CAD) OR: 1.48578
PPM020559 PGS004444
(disease.CVD.score)
PSS011364|
European Ancestry|
56,192 individuals
PGP000561 |
Jung H et al. Commun Biol (2024)
Reported Trait: Coronary vascular disease (CVD) OR: 1.28186
PPM020628 PGS004513
(meta.CAD.score)
PSS011364|
European Ancestry|
56,192 individuals
PGP000561 |
Jung H et al. Commun Biol (2024)
Reported Trait: Coronary artery disease (CAD) OR: 1.57686
PPM020629 PGS004514
(meta.CVD.score)
PSS011364|
European Ancestry|
56,192 individuals
PGP000561 |
Jung H et al. Commun Biol (2024)
Reported Trait: Coronary vascular disease (CVD) OR: 1.34059
PPM020745 PGS004595
(PRS_CHD)
PSS011389|
European Ancestry|
21,824 individuals
PGP000575 |
Oni-Orisan A et al. Clin Pharmacol Ther (2022)
Reported Trait: Myocardial infarction in non-statin users HR: 1.59 [1.42, 1.78] Age, sex, hypertension, diabetes, and cigarette smoking status
PPM020746 PGS004595
(PRS_CHD)
PSS011389|
European Ancestry|
21,824 individuals
PGP000575 |
Oni-Orisan A et al. Clin Pharmacol Ther (2022)
Reported Trait: Major adverse cardiovascular event in non-statin users HR: 1.35 [1.25, 1.46] Age, sex, hypertension, diabetes, and cigarette smoking status
PPM020748 PGS004596
(PRS64_CHD)
PSS011390|
Multi-ancestry (including European)|
13,348 individuals
PGP000576 |
Peng H et al. Nutrients (2023)
Reported Trait: Incident coronary artery disease in breast cancer survivors Hazard ratio (HR, top 50% vs bottom 50% of PRS): 1.36 [1.1, 1.67] Age at diagnosis of breast cancer, race, Townsend Deprivation Index, diabetes, hypertension, antihypertensive medications, insulin treatment, lipid treatments, hormone replacement therapy, menopause, surgical treatment of breast cancer, genetic testing batches, 10 PCs
PPM020751 PGS004596
(PRS64_CHD)
PSS011390|
Multi-ancestry (including European)|
13,348 individuals
PGP000576 |
Peng H et al. Nutrients (2023)
Reported Trait: Incident coronary artery disease in breast cancer survivors with lifestyle Hazard ratio (HR, unhealthy lifestyle and PRS in top 50% vs healthy lifestyle and PRS in bottom 50%): 0.37 [0.24, 0.56] Age at diagnosis of breast cancer, race, Townsend Deprivation Index, diabetes, hypertension, antihypertensive medications, insulin treatment, lipid treatments, hormone replacement therapy, menopause, surgical treatment of breast cancer, genetic testing batches, 10 PCs
PPM020904 PGS004696
(multi_anc_hg37CSx)
PSS011448|
European Ancestry|
52,702 individuals
PGP000602 |
Smith JL et al. Circ Genom Precis Med (2024)
Reported Trait: Incident coronary heart disease OR: 1.65 [1.59, 1.71] AUROC: 0.774 age, sex, 10 PCs
PPM020906 PGS004696
(multi_anc_hg37CSx)
PSS011446|
African Ancestry|
17,008 individuals
PGP000602 |
Smith JL et al. Circ Genom Precis Med (2024)
Reported Trait: Incident coronary heart disease OR: 1.2 [1.15, 1.26] AUROC: 0.736 age, sex, 10 PCs
PPM020908 PGS004696
(multi_anc_hg37CSx)
PSS011449|
Hispanic or Latin American Ancestry|
6,138 individuals
PGP000602 |
Smith JL et al. Circ Genom Precis Med (2024)
Reported Trait: Incident coronary heart disease OR: 1.51 [1.35, 1.69] AUROC: 0.706 age, sex, 10 PCs
PPM020910 PGS004696
(multi_anc_hg37CSx)
PSS011447|
East Asian Ancestry|
22,751 individuals
PGP000602 |
Smith JL et al. Circ Genom Precis Med (2024)
Reported Trait: Incident coronary heart disease OR: 1.59 [1.54, 1.64] AUROC: 0.762 age, sex, 10 PCs
PPM020912 PGS004696
(multi_anc_hg37CSx)
PSS011450|
South Asian Ancestry|
9,178 individuals
PGP000602 |
Smith JL et al. Circ Genom Precis Med (2024)
Reported Trait: Incident coronary heart disease OR: 2.67 [2.39, 3.01] AUROC: 0.803 age, sex, 10 PCs
PPM020903 PGS004697
(eur_anc_hg37CSx)
PSS011448|
European Ancestry|
52,702 individuals
PGP000602 |
Smith JL et al. Circ Genom Precis Med (2024)
Reported Trait: Incident coronary heart disease OR: 1.55 [1.5, 1.6] AUROC: 0.773 age, sex, 10 PCs
PPM020905 PGS004697
(eur_anc_hg37CSx)
PSS011446|
African Ancestry|
17,008 individuals
PGP000602 |
Smith JL et al. Circ Genom Precis Med (2024)
Reported Trait: Incident coronary heart disease OR: 1.25 [1.17, 1.33] AUROC: 0.734 age, sex, 10 PCs
PPM020907 PGS004697
(eur_anc_hg37CSx)
PSS011449|
Hispanic or Latin American Ancestry|
6,138 individuals
PGP000602 |
Smith JL et al. Circ Genom Precis Med (2024)
Reported Trait: Incident coronary heart disease OR: 1.52 [1.36, 1.71] AUROC: 0.708 age, sex, 10 PCs
PPM020909 PGS004697
(eur_anc_hg37CSx)
PSS011447|
East Asian Ancestry|
22,751 individuals
PGP000602 |
Smith JL et al. Circ Genom Precis Med (2024)
Reported Trait: Incident coronary heart disease OR: 1.51 [1.44, 1.59] AUROC: 0.756 age, sex, 10 PCs
PPM020911 PGS004697
(eur_anc_hg37CSx)
PSS011450|
South Asian Ancestry|
9,178 individuals
PGP000602 |
Smith JL et al. Circ Genom Precis Med (2024)
Reported Trait: Incident coronary heart disease OR: 2.47 [2.23, 2.73] AUROC: 0.803 age, sex, 10 PCs
PPM020913 PGS004698
(multi_anc_hg37PT)
PSS011448|
European Ancestry|
52,702 individuals
PGP000602 |
Smith JL et al. Circ Genom Precis Med (2024)
Reported Trait: Incident coronary heart disease OR: 1.65 [1.59 -1.72) AUROC: 0.773 age, sex, 10 PCs
PPM020914 PGS004698
(multi_anc_hg37PT)
PSS011446|
African Ancestry|
17,008 individuals
PGP000602 |
Smith JL et al. Circ Genom Precis Med (2024)
Reported Trait: Incident coronary heart disease OR: 1.16 [1.11, 1.21] AUROC: 0.735 age, sex, 10 PCs
PPM020915 PGS004698
(multi_anc_hg37PT)
PSS011449|
Hispanic or Latin American Ancestry|
6,138 individuals
PGP000602 |
Smith JL et al. Circ Genom Precis Med (2024)
Reported Trait: Incident coronary heart disease OR: 1.38 [1.24, 1.54] AUROC: 0.699 age, sex, 10 PCs
PPM020916 PGS004698
(multi_anc_hg37PT)
PSS011447|
East Asian Ancestry|
22,751 individuals
PGP000602 |
Smith JL et al. Circ Genom Precis Med (2024)
Reported Trait: Incident coronary heart disease OR: 1.56 [1.5, 1.61] AUROC: 0.748 age, sex, 10 PCs
PPM020917 PGS004698
(multi_anc_hg37PT)
PSS011450|
South Asian Ancestry|
9,178 individuals
PGP000602 |
Smith JL et al. Circ Genom Precis Med (2024)
Reported Trait: Incident coronary heart disease OR: 2.75 [2.41, 3.14] AUROC: 0.786 age, sex, 10 PCs

Evaluated Samples

PGS Sample Set ID
(PSS)
Phenotype Definitions and Methods Participant Follow-up Time Sample Numbers Age of Study Participants Sample Ancestry Additional Ancestry Description Cohort(s) Additional Sample/Cohort Information
PSS000008 Coronary heart disease represented a composite of fatal or non-fatal myocardial infarction, coronary artery bypass grafting, or percutaneous coronary intervention 27,271 individuals,
38.7 % Male samples
European
(Swedish)
MDC Primary prevention cohorts
PSS000008 Coronary heart disease represented a composite of fatal or non-fatal myocardial infarction, coronary artery bypass grafting, or percutaneous coronary intervention
[
  • 108 cases
  • , 8,641 controls
]
,
67.8 % Male samples
European JUPITER Primary prevention cohorts
PSS000008 Coronary heart disease represented a composite of fatal or non-fatal myocardial infarction, coronary artery bypass grafting, or percutaneous coronary intervention
[
  • 149 cases
  • , 6,829 controls
]
,
79.7 % Male samples
European ASCOT Primary prevention cohorts
PSS000009 Coronary heart disease represented a composite of fatal or non-fatal myocardial infarction, coronary artery bypass grafting, or percutaneous coronary intervention
[
  • 320 cases
  • , 2,558 controls
]
,
86.1 % Male samples
European CARE_b Secondary prevention cohorts
PSS000009 Coronary heart disease represented a composite of fatal or non-fatal myocardial infarction, coronary artery bypass grafting, or percutaneous coronary intervention
[
  • 229 cases
  • , 1,770 controls
]
,
77.5 % Male samples
European PROVEIT Secondary prevention cohorts
PSS011442
[
  • 181 cases
  • , 383 controls
]
,
77.0 % Male samples
Mean = 26.7 years European PDAY
PSS011441
[
  • 165 cases
  • , 339 controls
]
,
82.0 % Male samples
Mean = 27.5 years African unspecified PDAY
PSS000010 Incident CHD was defined as coronary revascularization, fatal or nonfatal myocardial infarction, or death due to ischemic heart disease.
[
  • 2,213 cases
  • , 21,382 controls
]
,
38.03 % Male samples
European
(Swedish)
MDC Prospective study
PSS000011 The main outcome of interest was incident CHD event before age 75y. We used the definition of CHD as employed by the Framingham study, namely, one of • MI recognized, with diagnostic ECG (FHS event code #1) • MI recognized, without diagnostic ECG, with enzymes and history (#2) • MI recognized, without diagnostic ECG, with autopsy evidence (new event) (#3) • MI unrecognized, silent (#4) • MI unrecognized, not silent (#5) • Angina pectoris (AP), first episode only (#6) • Coronary insufficiency (CI), definite by both history and ECG (#7) • Questionable MI at exam 1 (#8) • Acute MI by autopsy, previously coded as 1 or 2 (#9) • Death, CHD sudden, with 1 hour (#21) • Death, CHD 1–23 hours, non sudden (#22) • Death, CHD 24-47 hours, non sudden (#23) • Death, CHD, 48 hours or more, non sudden (#24)
[
  • 587 cases
  • , 2,819 controls
]
,
45.0 % Male samples
European FHS FHS Original, FHS Offspring
PSS000012 Coronary heart disease (CHD) was defined as falling into any of the following categories: • I21 or I22 (ICD-10) / 410 (ICD-8/9) as the direct or as a contributing cause of death or I20-I25 (ICD-10) /410-414 (ICD-9) as the underlying cause of death • I21 or I22 (ICD-10) / 410 (ICD-8/9) as the main or secondary diagnosis at hospital discharge. • Coronary bypass surgery or coronary angioplasty at hospital discharge or identified from the Finnish registry of invasive cardiac procedures.
[
  • 757 cases
  • , 11,919 controls
]
,
46.0 % Male samples
European
(Finnish)
FINRISK FR92, FR97, FR02
PSS011446
[
  • 1,359 cases
  • , 15,649 controls
]
African unspecified ARIC, CHS, MESA, WHI, eMERGE
PSS011447
[
  • 6,321 cases
  • , 16,430 controls
]
East Asian BBJ, OACIS, TaiChi
PSS009589 Mean = 13.0 years
[
  • 1,303 cases
  • , 39,968 controls
]
,
42.5 % Male samples
Mean = 52.3 years
Sd = 10.6 years
East Asian CIMIC, ChinaMUCA-1998, InterASIA
PSS009590 individuals with type 2 diabetes. Events consist of 794 CV deaths (15.4%), 274 non-fatal MI (5.3%) and 151 non-fatal stroke (2.9%) Median = 9.8 years
[
  • 1,017 cases
  • , 4,135 controls
]
,
56.1 % Male samples
Mean = 65.2 years European, NR GoDARTS
PSS011448
[
  • 4,970 cases
  • , 47,732 controls
]
European ARIC, CHS, MESA, WHI, eMERGE
PSS011449
[
  • 314 cases
  • , 5,824 controls
]
Hispanic or Latin American MESA, WHI, eMERGE
PSS011450
[
  • 517 cases
  • , 8,661 controls
]
South Asian UKB
PSS004726
[
  • 283 cases
  • , 6,214 controls
]
African unspecified UKB
PSS004727
[
  • 48 cases
  • , 1,656 controls
]
East Asian UKB
PSS004728
[
  • 1,680 cases
  • , 23,225 controls
]
European non-white British ancestry UKB
PSS004729
[
  • 1,095 cases
  • , 6,736 controls
]
South Asian UKB
PSS004730
[
  • 5,072 cases
  • , 62,353 controls
]
European white British ancestry UKB Testing cohort (heldout set)
PSS008193 6,070 individuals South Asian India (South Asia) UKB
PSS000015 CAD ascertainment was based on a composite of myocardial infarction or coronary revascularization. Myocardial infarction was based on self-report or hospital admission diagnosis, as performed centrally. This included individuals with ICD-9 codes of 410.X, 411.0, 412.X, or 429.79, or ICD-10 codes of I21.X, I22.X, I23.X, I24.1, or I25.2 in hospitalization records. Coronary revascularization was assessed based on an OPCS-4 coded procedure for coronary artery bypass grafting (K40.1–40.4, K41.1–41.4, or K45.1–45.5), or coronary angioplasty with or without stenting (K49.1–49.2, K49.8–49.9, K50.2, K75.1–75.4, or K75.8–75.9).
[
  • 8,676 cases
  • , 280,302 controls
]
European UKB UKB Phase 2
PSS000018 CAD was defined as fatal or nonfatal myocardial infarction (MI) cases, percutaneous transluminal coronary angioplasty (PTCA), or coronary artery bypass grafting (CABG). Prevalent versus incident status was relative to the UKB enrollment assessment. In UKB self-reported data, cases were defined as having had a heart attack diagnosed by a doctor (data field #6150); “non-cancer illnesses that self-reported as heart attack” (data field #20002); or self-reported operation including PTCA, CABG, or triple heart bypass (data field #20004). In HES hospital episodes data and death registry data, MI was defined as hospital admission or cause of death due to ICD-9 410 to 412, or ICD-10 I21 to I24 or I25.2; CABG and PTCA were defined as hospital admission OPCS-4 K40 to K46, K49, K50.1,or K75.
[
  • 22,242 cases
  • , 460,387 controls
]
,
45.6 % Male samples
European, NR ~95% European ancestry samples, <5% non-European ancestry UKB
PSS000019 Prevalent Coronary artery disease (CAD), where CAD is defined as previous diagnosis of myocardial infarction or revascularization procedures (percutaneous coronary intervention or coronary artery bypass grafting).
[
  • 173 cases
  • , 5,589 controls
]
,
41.29 % Male samples
European
(French Canadian)
CARTaGENE
PSS000020 Recurrent CAD event during the follow- up period (median follow-up time =3.9 years [range =1.1–7), where CAD is defined as previous diagnosis of myocardial infarction or revascularization procedures (percutaneous coronary intervention or coronary artery bypass grafting).
[
  • 446 cases
  • , 416 controls
]
European
(French Canadian)
MHI Phase 1
PSS000020 Recurrent CAD event during the follow- up period (median follow-up time =3.9 years [range =1.1–7), where CAD is defined as previous diagnosis of myocardial infarction or revascularization procedures (percutaneous coronary intervention or coronary artery bypass grafting).
[
  • 937 cases
  • , 1,396 controls
]
European
(French Canadian)
MHI Phase 2
PSS000021 Prevalent Coronary artery disease (CAD), where CAD is defined as previous diagnosis of myocardial infarction or revascularization procedures (percutaneous coronary intervention or coronary artery bypass grafting).
[
  • 974 cases
  • , 976 controls
]
,
72.7 % Male samples
European
(French Canadian)
MHI Phase 1
PSS000022 Prevalent Coronary artery disease (CAD), where CAD is defined as previous diagnosis of myocardial infarction or revascularization procedures (percutaneous coronary intervention or coronary artery bypass grafting).
[
  • 2,492 cases
  • , 817 controls
]
,
72.38 % Male samples
European
(French Canadian)
MHI Phase 2
PSS001168 Cases were individulas with prevalent CHD was obtained by self-report of a coronary bypass, myocardial infarction, or any of the following: coronary angioplasty, balloon angioplasty, atherectomy, stent, percutaneous transluminal coronary angioplasty, or percutaneous coronary intervention. CHD information was similarly obtained in LLFS and FamHS; however, CHD was only validated by hospital records in FamHS. Age-at-onset was defined as the individual's age at the first report of CHD.
[
  • 950 cases
  • , 6,453 controls
]
,
46.25 % Male samples
Mean = 60.6 years European FamHS, LLFS
PSS000023 CAD case endpoints were defined as: angina, myocardial infarction, coronary angioplasty, and coronary bypass surgery. Participants are described as Caucasian with diagnosed Familial hypercholesterolemia(FH; Dutch Lipid Criteria score >= 3 [possible, probable, or definite FH]) and carriers of classical French Canadian mutations in the LDLR gene including del .15 kb of the promoter and exon 1, del .5 kb of exons 2 and 3, W66G (exon 3), E207K (exon 4), Y468X (exon 10), and C646Y (exon 14).
[
  • 206 cases
  • , 519 controls
]
,
42.8 % Male samples
European CNMA Nutrition, Metabolism and Atherosclerosis Clinic (CNMA) of Institut de recherches cliniques de Montréal
PSS000024 Cerebrovascular disease (CVD) case endpoints were defined as: transient ischemic attack, stroke, and carotid endarterectomy. Participants are described as Caucasian with diagnosed Familial hypercholesterolemia(FH; Dutch Lipid Criteria score >= 3 [possible, probable, or definite FH]) and carriers of classical French Canadian mutations in the LDLR gene including del .15 kb of the promoter and exon 1, del .5 kb of exons 2 and 3, W66G (exon 3), E207K (exon 4), Y468X (exon 10), and C646Y (exon 14).
[
  • 231 cases
  • , 494 controls
]
,
42.8 % Male samples
European CNMA Nutrition, Metabolism and Atherosclerosis Clinic (CNMA) of Institut de recherches cliniques de Montréal
PSS000440 Coronary heart disease was defined as Myocardial infarction|Myocardial infarction, strict|Complications following myocardial infarction|Prior myocardial infactrion|Angina pectoris|Other coronary atherosclerosis|Coronary artery bypass graft**|Coronary angioplasty**. ICD9/10 codes are listed in Table S9. National registries were used to assess disease incidence. Follow-up ended at first-ever diagnosis of the disease of interest, death or at the end of follow-up on December 31, 2018, whichever came first.
[
  • 1,209 cases
  • , 18,956 controls
]
,
47.3 % Male samples
Mean (Age At Baseline) = 48.0 years European
(Finnish)
FINRISK FINRISK surveys from 1992, 1997, 2002 and 2007
PSS000445 Coronary heart disease was defined as Myocardial infarction|Myocardial infarction, strict|Complications following myocardial infarction|Prior myocardial infactrion|Angina pectoris|Other coronary atherosclerosis|Coronary artery bypass graft**|Coronary angioplasty**. ICD9/10 codes are listed in Table S9. National registries were used to assess disease incidence. Follow-up ended at first-ever diagnosis of the disease of interest, death or at the end of follow-up on December 31, 2018, whichever came first.
[
  • 20,179 cases
  • , 115,121 controls
]
,
43.7 % Male samples
Mean (Age At Baseline) = 59.2 years
Sd = 16.6 years
European
(Finnish)
FinnGen
PSS007758 2,396 individuals African American or Afro-Caribbean Carribean UKB
PSS000454 Cause of death under ICD-10 code Median = 7.7 years
[
  • 9,816 cases
  • , 39,414 controls
]
East Asian
(Japanese)
BBJ
PSS000455 Cause of death under ICD-10.CHF code Median = 7.7 years
[
  • 362 cases
  • , 48,868 controls
]
East Asian
(Japanese)
BBJ
PSS009922
[
  • 120 cases
  • , 1,999 controls
]
European NR
PSS000456 Cause of death under ICD-10.I codes Median = 7.7 years
[
  • 2,122 cases
  • , 47,108 controls
]
East Asian
(Japanese)
BBJ
PSS000457 Cause of death under ICD-10.IHD code Median = 7.7 years
[
  • 464 cases
  • , 48,766 controls
]
East Asian
(Japanese)
BBJ
PSS000458 Cause of death under ICD-10.J codes Median = 7.7 years
[
  • 1,193 cases
  • , 48,037 controls
]
East Asian
(Japanese)
BBJ
PSS000459 CAD was defined as a composite of stable angina, unstable angina and myocardial infarction. The disease definitions are dependent on the physician's diagnosis based on general medical practices following relevant guidelines and according to the clinical symptoms and diagnotic tests.
[
  • 1,827 cases
  • , 9,172 controls
]
,
84.0 % Male samples
East Asian
(Japanese)
BBJ
PSS009630 Entry to the trial had required a history of acute coronary syndrome 3–36 months previously, and patients were in the trial for a mean of 36 months. 1558 deaths, 898 cardiovascular deaths, 727 CHD deaths and 375 cancer deaths Mean = 36.0 months
[
  • 898 cases
  • , 4,034 controls
]
,
84.0 % Male samples
Mean = 60.2 years
Sd = 8.41 years
European NR LIPID (Long-term Intervention with Pravastatin in Ischaemic Disease) randomised controlled trial
PSS010059 Median = 2.3 years
[
  • 673 cases
  • , 13,625 controls
]
European FOURIER
PSS010060
[
  • 815 cases
  • , 4,870 controls
]
,
41.0 % Male samples
Not reported MDC
PSS009311 19,308 individuals European UK (+ Ireland) UKB
PSS000837 Incident CHD cases were defined as having incident myocardial infarction (MI), fatal coronary event, or silent infarction or having undergone a revasclarization procedure. Median = 15.5 years
[
  • 696 cases
  • , 4,151 controls
]
,
43.6 % Male samples
Mean = 62.9 years European ARIC
PSS000838 Incident CHD cases were defined as MI, resuscitated cardiac arrest, definite or probable angina if followed by a revascularization, and CHD dead occuring by visit 5. Median = 14.2 years
[
  • 227 cases
  • , 2,163 controls
]
,
47.8 % Male samples
Mean = 61.8 years European MESA
PSS000839 Incident CHD cases were defined as having incident myocardial infarction (MI), fatal coronary event, or silent infarction or having undergone a revasclarization procedure. Prevalent CHD cases were participants with a reported history of MI, heart or arterial surgery, coronary artery bypass graft surgery, or angioplasty; or evidence of having had an MI based on electrocardiogram taken at their visit 1 examination.
[
  • 1,005 cases
  • , 3,842 controls
]
,
43.6 % Male samples
Mean = 62.9 years European ARIC
PSS000467 Individuals were free of CAD at time of enrollment. CAD was defined as (1)fatal or nonfatal myocardial infarction: defined based on either International Classification of Diseases, Ninth Revision (ICD-9) code 410 or Tenth Revision (ICD-10) code I21, (2)coronary artery bypass graft surgery: defined as procedure codes 3065, 3066, 3068, 3080, 3092, 3105, 3127 or 3158 (the Op6 system) or procedure code FN (the KKA97 system), (3)percutaneous coronary intervention, (4)death due to CAD: defined as ICD-9 codes 412 and 414 or ICD-10 codes I22, I23 and I25. Median = 21.3 years
IQR = [16.1, 23.1] years
[
  • 4,122 cases
  • , 24,434 controls
]
,
38.7 % Male samples
Mean = 57.9 years European, NR European=28286, NR=270 MDC
PSS000468 Individuals were free of CAD at time of enrollment. CAD was defined as (1)fatal or nonfatal myocardial infarction: defined based on either International Classification of Diseases, Ninth Revision (ICD-9) code 410 or Tenth Revision (ICD-10) code I21, (2)coronary artery bypass graft surgery: defined as procedure codes 3065, 3066, 3068, 3080, 3092, 3105, 3127 or 3158 (the Op6 system) or procedure code FN (the KKA97 system), (3)percutaneous coronary intervention, (4)death due to CAD: defined as ICD-9 codes 412 and 414 or ICD-10 codes I22, I23 and I25. All individuals included had measured cholesterol concentrations. Median = 23.2 years
IQR = [17.6, 24.2] years
[
  • 815 cases
  • , 4,870 controls
]
,
41.16 % Male samples
European, NR European=5640, NR=45 MDC-CC Cardiovascular Cohort
PSS000469 Individuals were free of CAD at time of enrollment. CAD was defined based on hospitalisation with or death due to ICD-10 codes for acute or subsequent myocaridal infarction (I21, I22, I23, I24.1, and I25.2); or hospitalisation with ICD-9 codes for myocaridal. infarction (410, 411, and 412); or hospitalisation with OPCS-4 (Office of Population Censuses and Surveys) codes. for coronary artery bypass grafting (K40, K41, and K45) or coronary angioplasty with or without stenting (K49, K50.2, and K75). Median = 8.1 years
IQR = [7.4, 8.8] years
[
  • 7,708 cases
  • , 317,295 controls
]
,
44.2 % Male samples
Mean = 56.8 years European, African unspecified, South Asian, East Asian, NR European=304270, African unspecified=5760, South Asian=6832, East Asian (Chinese)=1117, NR=7024 UKB
PSS011296 22,667 sibling pairs 45,334 individuals European UKB
PSS011097 2,669 individuals Greater Middle Eastern (Middle Eastern, North African or Persian)
(Arab)
NR N total after excluding missing values = 2,553
PSS000219 Phenotypic information was self-reported by the individual through an online, interactive health history tool
[
  • 126 cases
  • , 10,884 controls
]
,
17.1 % Male samples
European CG Samples are individuals whose healthcare provider had ordered a Color Genomics multi-gene panel test
PSS000227
[
  • 40 cases
  • , 504 controls
]
Asian unspecified MESA, VIRGO Cases are from VIRGO, controls are from MESA
PSS000228
[
  • 336 cases
  • , 962 controls
]
African American or Afro-Caribbean MESA, VIRGO Cases are from VIRGO, controls are from MESA
PSS000229
[
  • 168 cases
  • , 751 controls
]
Hispanic or Latin American MESA, VIRGO Cases are from VIRGO, controls are from MESA
PSS000230
[
  • 1,537 cases
  • , 1,544 controls
]
European MESA, VIRGO Cases are from VIRGO, controls are from MESA
PSS000328 ACS was defined as MI, unstable angina or death due to CHD. Mean = 19.0 years
[
  • 235 cases
  • , 4,869 controls
]
,
44.8 % Male samples
Mean = 43.9 years
Sd = 11.3 years
European
(Finnish)
FINRISK FINRISK 1992
PSS000328 ACS was defined as MI, unstable angina or death due to CHD. Mean = 14.0 years
[
  • 229 cases
  • , 6,338 controls
]
,
45.8 % Male samples
Mean = 46.8 years
Sd = 12.9 years
European
(Finnish)
FINRISK97 FINRISK 1997
PSS000328 ACS was defined as MI, unstable angina or death due to CHD. Mean = 9.0 years
[
  • 148 cases
  • , 7,182 controls
]
,
45.0 % Male samples
Mean = 47.5 years
Sd = 13.0 years
European
(Finnish)
FINRISK FINRISK 2002
PSS000328 ACS was defined as MI, unstable angina or death due to CHD. Mean = 8.0 years
[
  • 119 cases
  • , 5,004 controls
]
,
46.3 % Male samples
Mean = 50.0 years
Sd = 11.7 years
European
(Finnish)
Health2000
PSS000329 CHD was defined as myocardial infarction, unstable angina pectoris, coronary revascularization (coronary artery bypass graft or percutaneous transluminal coronary angioplasty), or death due to CHD. Mean = 19.0 years
[
  • 343 cases
  • , 4,761 controls
]
,
44.8 % Male samples
Mean = 43.9 years
Sd = 11.3 years
European
(Finnish)
FINRISK FINRISK 1992
PSS000329 CHD was defined as myocardial infarction, unstable angina pectoris, coronary revascularization (coronary artery bypass graft or percutaneous transluminal coronary angioplasty), or death due to CHD. Mean = 14.0 years
[
  • 344 cases
  • , 6,223 controls
]
,
45.8 % Male samples
Mean = 46.8 years
Sd = 12.9 years
European
(Finnish)
FINRISK97 FINRISK 1997
PSS000329 CHD was defined as myocardial infarction, unstable angina pectoris, coronary revascularization (coronary artery bypass graft or percutaneous transluminal coronary angioplasty), or death due to CHD. Mean = 9.0 years
[
  • 209 cases
  • , 7,121 controls
]
,
45.0 % Male samples
Mean = 47.5 years
Sd = 13.0 years
European
(Finnish)
FINRISK FINRISK 2002
PSS000329 CHD was defined as myocardial infarction, unstable angina pectoris, coronary revascularization (coronary artery bypass graft or percutaneous transluminal coronary angioplasty), or death due to CHD. Mean = 8.0 years
[
  • 197 cases
  • , 4,926 controls
]
,
46.3 % Male samples
Mean = 50.0 years
Sd = 11.7 years
European
(Finnish)
Health2000
PSS000330 CHD was defined as myocardial infarction, unstable angina pectoris, coronary revascularization (coronary artery bypass graft or percutaneous transluminal coronary angioplasty), or death due to CHD. CVD included CHD and ischemic stroke events. Mean = 19.0 years
[
  • 501 cases
  • , 4,603 controls
]
,
44.8 % Male samples
Mean = 43.9 years
Sd = 11.3 years
European
(Finnish)
FINRISK FINRISK 1992
PSS000330 CHD was defined as myocardial infarction, unstable angina pectoris, coronary revascularization (coronary artery bypass graft or percutaneous transluminal coronary angioplasty), or death due to CHD. CVD included CHD and ischemic stroke events. Mean = 14.0 years
[
  • 499 cases
  • , 6,068 controls
]
,
45.8 % Male samples
Mean = 46.8 years
Sd = 12.9 years
European
(Finnish)
FINRISK97 FINRISK 1997
PSS000330 CHD was defined as myocardial infarction, unstable angina pectoris, coronary revascularization (coronary artery bypass graft or percutaneous transluminal coronary angioplasty), or death due to CHD. CVD included CHD and ischemic stroke events. Mean = 9.0 years
[
  • 291 cases
  • , 7,039 controls
]
,
45.0 % Male samples
Mean = 47.5 years
Sd = 13.0 years
European
(Finnish)
FINRISK FINRISK 2002
PSS000330 CHD was defined as myocardial infarction, unstable angina pectoris, coronary revascularization (coronary artery bypass graft or percutaneous transluminal coronary angioplasty), or death due to CHD. CVD included CHD and ischemic stroke events. Mean = 8.0 years
[
  • 261 cases
  • , 4,862 controls
]
,
46.3 % Male samples
Mean = 50.0 years
Sd = 11.7 years
European
(Finnish)
Health2000
PSS000331 CHD was defined as occurrence of either myocardial infarction (MI) or coronary revascularization events (such as percutaneous coronary intervention or coronary artery bypass grafting) using ICD codes. Individuals with MI were defined as those whose EHR included at least two related diagnostic codes on separate occasions within a 5-day window, and individuals with coronary revascularization were defined as those who had at least one relevant procedural code in the EHR. ICD codelists and phenotyping algorithm in PMID:27678441 and PMID:25717410 Median = 9.2 years
IQR = [5.5, 13.0] years
[
  • 838 cases
  • , 6,759 controls
]
,
31.0 % Male samples
Mean = 43.6 years
Sd = 12.5 years
African American or Afro-Caribbean 7 cohorts
  • BioMe
  • ,BioVU
  • ,Columbia
  • ,KP
  • ,Nugene
  • ,PHB
  • ,eMERGE
right censored at age 75 years or at the age of last observation (whichever was first)
PSS000332 CHD was defined as occurrence of either myocardial infarction (MI) or coronary revascularization events (such as percutaneous coronary intervention or coronary artery bypass grafting) using ICD codes. Individuals with MI were defined as those whose EHR included at least two related diagnostic codes on separate occasions within a 5-day window, and individuals with coronary revascularization were defined as those who had at least one relevant procedural code in the EHR. We identified the first CHD event and classified it as ‘‘incident’’ if the event occurred at least 6 months after the participant’s first record in the EHR and if there were no previous ICD-9-CM or ICD-10-CM codes associated with CHD. ICD codelists and phenotyping algorithm in PMID:27678441 and PMID:25717410 Median = 9.2 years
IQR = [5.5, 13.0] years
[
  • 311 cases
  • , 6,759 controls
]
,
31.0 % Male samples
Mean = 43.6 years
Sd = 12.5 years
African American or Afro-Caribbean 7 cohorts
  • BioMe
  • ,BioVU
  • ,Columbia
  • ,KP
  • ,Nugene
  • ,PHB
  • ,eMERGE
right censored at age 75 years or at the age of last observation (whichever was first)
PSS000333 CHD was defined as occurrence of either myocardial infarction (MI) or coronary revascularization events (such as percutaneous coronary intervention or coronary artery bypass grafting) using ICD codes. Individuals with MI were defined as those whose EHR included at least two related diagnostic codes on separate occasions within a 5-day window, and individuals with coronary revascularization were defined as those who had at least one relevant procedural code in the EHR. ICD codelists and phenotyping algorithm in PMID:27678441 and PMID:25717410 Median = 11.7 years
IQR = [6.0, 18.5] years
[
  • 8,108 cases
  • , 37,537 controls
]
,
44.6 % Male samples
Mean = 49.0 years
Sd = 14.1 years
European 11 cohorts
  • BioMe
  • ,BioVU
  • ,CCHMC
  • ,Columbia
  • ,KP
  • ,MAYO
  • ,Marshfield
  • ,MyCode
  • ,Nugene
  • ,PHB
  • ,eMERGE
right censored at age 75 years or at the age of last observation (whichever was first)
PSS000334 CHD was defined as occurrence of either myocardial infarction (MI) or coronary revascularization events (such as percutaneous coronary intervention or coronary artery bypass grafting) using ICD codes. Individuals with MI were defined as those whose EHR included at least two related diagnostic codes on separate occasions within a 5-day window, and individuals with coronary revascularization were defined as those who had at least one relevant procedural code in the EHR. We identified the first CHD event and classified it as ‘‘incident’’ if the event occurred at least 6 months after the participant’s first record in the EHR and if there were no previous ICD-9-CM or ICD-10-CM codes associated with CHD. ICD codelists and phenotyping algorithm in PMID:27678441 and PMID:25717410 Median = 11.7 years
IQR = [6.0, 18.5] years
[
  • 2,221 cases
  • , 37,537 controls
]
,
44.6 % Male samples
Mean = 49.0 years
Sd = 14.1 years
European 11 cohorts
  • BioMe
  • ,BioVU
  • ,CCHMC
  • ,Columbia
  • ,KP
  • ,MAYO
  • ,Marshfield
  • ,MyCode
  • ,Nugene
  • ,PHB
  • ,eMERGE
right censored at age 75 years or at the age of last observation (whichever was first)
PSS000335 CHD was defined as occurrence of either myocardial infarction (MI) or coronary revascularization events (such as percutaneous coronary intervention or coronary artery bypass grafting) using ICD codes. Individuals with MI were defined as those whose EHR included at least two related diagnostic codes on separate occasions within a 5-day window, and individuals with coronary revascularization were defined as those who had at least one relevant procedural code in the EHR. ICD codelists and phenotyping algorithm in PMID:27678441 and PMID:25717410 Median = 10.4 years
IQR = [5.7, 14.7] years
[
  • 419 cases
  • , 2,074 controls
]
,
36.2 % Male samples
Mean = 41.1 years
Sd = 13.2 years
Hispanic or Latin American 8 cohorts
  • BioMe
  • ,BioVU
  • ,Columbia
  • ,KP
  • ,MAYO
  • ,Nugene
  • ,PHB
  • ,eMERGE
right censored at age 75 years or at the age of last observation (whichever was first)
PSS000336 CHD was defined as occurrence of either myocardial infarction (MI) or coronary revascularization events (such as percutaneous coronary intervention or coronary artery bypass grafting) using ICD codes. Individuals with MI were defined as those whose EHR included at least two related diagnostic codes on separate occasions within a 5-day window, and individuals with coronary revascularization were defined as those who had at least one relevant procedural code in the EHR. We identified the first CHD event and classified it as ‘‘incident’’ if the event occurred at least 6 months after the participant’s first record in the EHR and if there were no previous ICD-9-CM or ICD-10-CM codes associated with CHD. ICD codelists and phenotyping algorithm in PMID:27678441 and PMID:25717410 Median = 10.4 years
IQR = [5.7, 14.7] years
[
  • 120 cases
  • , 2,074 controls
]
,
36.2 % Male samples
Mean = 41.1 years
Sd = 13.2 years
Hispanic or Latin American 8 cohorts
  • BioMe
  • ,BioVU
  • ,Columbia
  • ,KP
  • ,MAYO
  • ,Nugene
  • ,PHB
  • ,eMERGE
right censored at age 75 years or at the age of last observation (whichever was first)
PSS000868 CALIBER rule-based phenotyping algorithms (https://www.caliberresearch.org/portal). ICD-10: I21-I23, I24.1, I25.2 Median = 6.9 years
[
  • 15 cases
  • , 3,072 controls
]
,
51.0 % Male samples
Median = 44.0 years
IQR = [30.5, 54.7] years
European INTERVAL
PSS008862 3,793 individuals African unspecified Nigeria (West Africa) UKB
PSS009941 We used the disease definitions described in the supplement of Said et al (2018). PMID: 29955826
[
  • 2,729 cases
  • , 13,645 controls
]
,
46.0 % Male samples
European UKB
PSS011313 To define prevalent CAD, we selected participants with ICD-10 codes for MI (I21.X, I22.X, I23.X, I24.1, or I25.2), for other acute ischemic heart disease (I24.0, I24.8-9) and for atherosclerotic / chronic ischemic heart disease (I25.0-25.1, I25.5-25.9). Procedure codes for coronary artery bypass grafting (K40.1-40.4, K41.1-41.4, K45.1-45.5), for coronary angioplasty, with or without stenting (K49.1-49.2, K49.8-49.9, K50.2, K75.1-75.4, K75.8-75.9) were also added to the CAD definition. Mean = 11.0 years
[
  • 32,475 cases
  • , 370,947 controls
]
,
46.0 % Male samples
Mean = 56.93 years European
(White British)
UKB
PSS011315 The patients were hospitalized with a diagnosis of and treatment for an ST-segment elevation myocardial infarction or non-ST-segment elevation myocardial infarction; they were ≤50 years old and had undergone PCI at three hospitals. Median = 43.0 months
[
  • 265 cases
  • , 636 controls
]
,
63.82 % Male samples
East Asian
(Korean)
KGP
PSS011316 Cases were individuals with repeat revascularizations. The patients were hospitalized with a diagnosis of and treatment for an ST-segment elevation myocardial infarction or non-ST-segment elevation myocardial infarction; they were ≤50 years old and had undergone PCI at three hospitals.
[
  • 30 cases
  • , 167 controls
]
East Asian
(Korean)
KGP
PSS011318 18,505 individuals,
81.9 % Male samples
Mean = 55.4 years
Sd = 11.8 years
African American or Afro-Caribbean MVP
PSS011319 6,785 individuals,
86.5 % Male samples
Mean = 52.6 years
Sd = 14.8 years
Hispanic or Latin American MVP
PSS011320 53,861 individuals,
88.2 % Male samples
Mean = 59.3 years
Sd = 13.8 years
European MVP
PSS001026 2,647 individuals European MESA
PSS001026 728 individuals East Asian MESA
PSS001026 1,834 individuals African American or Afro-Caribbean MESA
PSS001026 1,451 individuals Hispanic or Latin American MESA
PSS000898 Coronary artery disease was defined as myocardial infarction and/or history of coronary revascularization.
[
  • 1,370 cases
  • , 15,385 controls
]
African unspecified BioMe, MESA, PHB, UKB, VIRGO
PSS000899 Coronary artery disease was defined as myocardial infarction and/or history of coronary revascularization.
[
  • 435 cases
  • , 3,553 controls
]
East Asian TaiChi, UKB
PSS000900 Coronary artery disease was defined as myocardial infarction and/or history of coronary revascularization.
[
  • 26,462 cases
  • , 448,036 controls
]
European BioMe, MESA, PHB, UKB, VIRGO
PSS000901 Coronary artery disease was defined as myocardial infarction and/or history of coronary revascularization.
[
  • 1,224 cases
  • , 7,861 controls
]
Hispanic or Latin American BioMe, MESA, PHB, VIRGO
PSS000902 Coronary artery disease was defined as myocardial infarction and/or history of coronary revascularization.
[
  • 874 cases
  • , 7,228 controls
]
South Asian BRAVE, UKB
PSS000504 Participants with no prior Coronary Heart Disease (CHD) at the time of enrollment were included within the present study. Incidental CHD was the primary end-points of the study. CHD was defined as fatal and non-fatal myocardial infarction, stroke and coronary death. Median = 11.6 years
Sd = 3.7 years
[
  • 343 cases
  • , 3,698 controls
]
,
47.5 % Male samples
Mean = 58.9 years
Sd = 7.6 years
European HNR
PSS000505
[
  • 2,734 cases
  • , 1,307 controls
]
European HNR
PSS000506 Male participants with no prior Coronary Heart Disease (CHD) at the time of enrollment were included within the present study. Incidental CHD was the primary end-points of the study. CHD was defined as fatal and non-fatal myocardial infarction, stroke and coronary death.
[
  • 219 cases
  • , 1,700 controls
]
,
100.0 % Male samples
European HNR
PSS000507 Participants with no prior Coronary Heart Disease (CHD) at the time of enrollment were included within the present study. Incidental CHD was the primary end-points of the study. CHD was defined as fatal and non-fatal myocardial infarction, stroke and coronary death. Cardiovascular risk factor data required included smoking status, current use of medication, body mass index, levels of serum triglycerides, low densitity lipoprotein-cholesterol and high densitity lipoprotein-cholesterol and diabetes defined as either of 4 criteria (1) participants reported a history of clinically diagnosed diabetes, (2) participants took glucose-lowering medications, (3) participants had fasting glucose levels of greater than 125mg/dL or (4) participants had non-fasting glucose levels of 200mg/dL or greater.
[
  • 321 cases
  • , 3,427 controls
]
European HNR
PSS000508
[
  • 2,536 cases
  • , 1,212 controls
]
European HNR
PSS009958 21,863 individuals,
0.0 % Male samples
Mean = 65.3 years European
(Non-Hispanic White)
WHI
PSS000509 Participants with no prior Coronary Heart Disease (CHD) at the time of enrollment with coronary artery calcification>0 were included. Incidental CHD was the primary end-points of the study. CHD was defined as fatal and non-fatal myocardial infarction, stroke and coronary death. Cardiovascular risk factor data required included smoking status, current use of medication, body mass index, levels of serum triglycerides, low densitity lipoprotein-cholesterol and high densitity lipoprotein-cholesterol and diabetes defined as either of 4 criteria (1) participants reported a history of clinically diagnosed diabetes, (2) participants took glucose-lowering medications, (3) participants had fasting glucose levels of greater than 125mg/dL or (4) participants had non-fasting glucose levels of 200mg/dL or greater.
[
  • 278 cases
  • , 2,282 controls
]
European HNR
PSS009960 172,066 individuals,
100.0 % Male samples
Mean = 57.8 years Not reported UKB
PSS009961 208,627 individuals,
0.0 % Male samples
Mean = 57.4 years Not reported UKB
PSS000510 Male participants with no prior Coronary Heart Disease (CHD) at the time of enrollment were included within the present study. Incidental CHD was the primary end-points of the study. CHD was defined as fatal and non-fatal myocardial infarction, stroke and coronary death. Cardiovascular risk factor data required included smoking status, current use of medication, body mass index, levels of serum triglycerides, low densitity lipoprotein-cholesterol and high densitity lipoprotein-cholesterol and diabetes defined as either of 4 criteria (1) participants reported a history of clinically diagnosed diabetes, (2) participants took glucose-lowering medications, (3) participants had fasting glucose levels of greater than 125mg/dL or (4) participants had non-fasting glucose levels of 200mg/dL or greater.
[
  • 202 cases
  • , 1,563 controls
]
,
100.0 % Male samples
European HNR
PSS000511 Male participants with no prior Coronary Heart Disease (CHD) at the time of enrollment with coronary artery calcification>0 were included. Incidental CHD was the primary end-points of the study. CHD was defined as fatal and non-fatal myocardial infarction, stroke and coronary death. Cardiovascular risk factor data required included smoking status, current use of medication, body mass index, levels of serum triglycerides, low densitity lipoprotein-cholesterol and high densitity lipoprotein-cholesterol and diabetes defined as either of 4 criteria (1) participants reported a history of clinically diagnosed diabetes, (2) participants took glucose-lowering medications, (3) participants had fasting glucose levels of greater than 125mg/dL or (4) participants had non-fasting glucose levels of 200mg/dL or greater.
[
  • 186 cases
  • , 1,240 controls
]
,
100.0 % Male samples
European HNR
PSS008413 1,158 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB
PSS009965 CAD events were defined according to the Data Collection on Adverse events of Anti-HIV Drugs (D:A:D) study and the MONICA Project of the World Health Organization, as reported elsewhere
[
  • 269 cases
  • , 567 controls
]
European SHCS
PSS000089 Total carotid plaque burden (mm2) 4,392 individuals Range = [55.0, 80.0] years NR BioImage
PSS000090 Total coronary arterial clacification (CAC) was coded as a a dichotomous outcome variable (CAC>0 versus CAC=0), and quantified by the Agatston method Mean = 15.0 years 1,154 individuals Range = [32.0, 47.0] years NR CARDIA
PSS000091 Nonfatal myocardial infarction or death from CHD Mean = 13.5 years
Sd = 2.8 years
2,440 individuals,
100.0 % Male samples
Mean = 55.1 years
Sd = 5.5 years
NR NR Participants were all men hypercholesterolemia but without a history of myocardial infarction, allocated to the placebo group
PSS010119 Atherosclerotic cardiovacular disease (ASCVD), comprising non-fatal acute myocardial infarction, death of cardiovascular origin (comprising sudden death, ischemic death) and fatal and non-fatal ischaemic stroke (including transient ischaemic attack) using relevant medical records and ICD codes. All events were adjudicated by two expert. More details in PMID: 33838036 Median = [10.7, 14.6] years
[
  • 190 cases
  • , 3,193 controls
]
,
45.0 % Male samples
Mean = 52.3 years European CoLaus right censored was death or latest evidence of good health, participant with statine therapy at baseline were excluded
PSS010120 Atherosclerotic cardiovacular disease (ASCVD), comprising non-fatal acute myocardial infarction, death of cardiovascular origin (comprising sudden death, ischemic death) and fatal and non-fatal ischaemic stroke (including transient ischaemic attack) using relevant medical records and ICD codes. All events were adjudicated by two expert. More details in PMID: 33838036 Median = [10.6, 14.6] years
[
  • 363 cases
  • , 3,855 controls
]
,
47.0 % Male samples
Mean = 53.4 years European CoLaus right censored was death or latest evidence of good health
PSS010121 Coronary artery disease (CAD), ccomprising either non-fatal myocardial infarction, death from coronary heart disease or symptomatic stable angina followed by a revascularization procedure, either by percutaneous coronary intervention (PCI), or by coronary artery bypass grafting (CABG) using relevant medical records and ICD codes. All events were adjudicated by two expert. More details in PMID: 33838036 Median = [10.7, 14.6] years
[
  • 195 cases
  • , 3,188 controls
]
,
45.0 % Male samples
Mean = 52.3 years European CoLaus right censored was death or latest evidence of good health, participant with statine therapy at baseline were excluded
PSS010122 Coronary artery disease (CAD), ccomprising either non-fatal myocardial infarction, death from coronary heart disease or symptomatic stable angina followed by a revascularization procedure, either by percutaneous coronary intervention (PCI), or by coronary artery bypass grafting (CABG) using relevant medical records and ICD codes. All events were adjudicated by two expert. More details in PMID: 33838036 Median = [10.6, 14.6] years
[
  • 388 cases
  • , 3,830 controls
]
,
47.0 % Male samples
Mean = 53.4 years European CoLaus right censored was death or latest evidence of good health
PSS000514 ICD-9 diagnosis code for acute myocardial infarction, other acute/subacute forms of ischemic heart disease, old myocardial infarction, other forms of chronic ischemic heart disease, certain unspecified sequelae of myocardial infarction, coronary bypass, or coronary revascularization (36.1, 36.2, 410, 411, 412, 414, 429.7); ICD-10 diagnosis code for acute myocardial infarction, subsequent myocardial infarction, complications following myocardial infarction, other acute ischemic heart disease, or chronic ischemic heart disease (I21, I22, I23, I24, I25); CPT procedure code for coronary artery bypass, percutaneous transluminal angioplasty/revascularization/thrombectomy, or coronary thrombolysis (3351x, 3353x, 9292x, 9293x, 9294x, 9297x)
[
  • 2,824 cases
  • , 21,547 controls
]
,
42.7 % Male samples
Mean = 57.0 years European, Hispanic or Latin American, African unspecified African unspecified=6979, European=10344, Hispanic or Latin American=7048 BioMe
PSS000515 ICD-9 diagnosis code for acute myocardial infarction, other acute/subacute forms of ischemic heart disease, old myocardial infarction, other forms of chronic ischemic heart disease, certain unspecified sequelae of myocardial infarction, coronary bypass, or coronary revascularization (36.1, 36.2, 410, 411, 412, 414, 429.7); ICD-10 diagnosis code for acute myocardial infarction, subsequent myocardial infarction, complications following myocardial infarction, other acute ischemic heart disease, or chronic ischemic heart disease (I21, I22, I23, I24, I25); CPT procedure code for coronary artery bypass, percutaneous transluminal angioplasty/revascularization/thrombectomy, or coronary thrombolysis (3351x, 3353x, 9292x, 9293x, 9294x, 9297x) 6,979 individuals African unspecified BioMe
PSS000516 ICD-9 diagnosis code for acute myocardial infarction, other acute/subacute forms of ischemic heart disease, old myocardial infarction, other forms of chronic ischemic heart disease, certain unspecified sequelae of myocardial infarction, coronary bypass, or coronary revascularization (36.1, 36.2, 410, 411, 412, 414, 429.7); ICD-10 diagnosis code for acute myocardial infarction, subsequent myocardial infarction, complications following myocardial infarction, other acute ischemic heart disease, or chronic ischemic heart disease (I21, I22, I23, I24, I25); CPT procedure code for coronary artery bypass, percutaneous transluminal angioplasty/revascularization/thrombectomy, or coronary thrombolysis (3351x, 3353x, 9292x, 9293x, 9294x, 9297x) 10,344 individuals European BioMe
PSS000517 ICD-9 diagnosis code for acute myocardial infarction, other acute/subacute forms of ischemic heart disease, old myocardial infarction, other forms of chronic ischemic heart disease, certain unspecified sequelae of myocardial infarction, coronary bypass, or coronary revascularization (36.1, 36.2, 410, 411, 412, 414, 429.7); ICD-10 diagnosis code for acute myocardial infarction, subsequent myocardial infarction, complications following myocardial infarction, other acute ischemic heart disease, or chronic ischemic heart disease (I21, I22, I23, I24, I25); CPT procedure code for coronary artery bypass, percutaneous transluminal angioplasty/revascularization/thrombectomy, or coronary thrombolysis (3351x, 3353x, 9292x, 9293x, 9294x, 9297x) 7,048 individuals Hispanic or Latin American BioMe
PSS000518 ICD-9 diagnosis code for acute myocardial infarction, other acute/subacute forms of ischemic heart disease, old myocardial infarction, other forms of chronic ischemic heart disease, certain unspecified sequelae of myocardial infarction, coronary bypass, or coronary revascularization (36.1, 36.2, 410, 411, 412, 414, 429.7); ICD-10 diagnosis code for acute myocardial infarction, subsequent myocardial infarction, complications following myocardial infarction, other acute ischemic heart disease, or chronic ischemic heart disease (I21, I22, I23, I24, I25); CPT procedure code for coronary artery bypass, percutaneous transluminal angioplasty/revascularization/thrombectomy, or coronary thrombolysis (3351x, 3353x, 9292x, 9293x, 9294x, 9297x)
[
  • 3,538 cases
  • , 10,129 controls
]
,
45.0 % Male samples
Mean = 60.0 years European, African unspecified, Hispanic or Latin American, East Asian, South Asian African unspecified=867, East Asian=167, European=11725, Hispanic or Latin American=799, South Asian=109 PHB
PSS000519 ICD-9 diagnosis code for acute myocardial infarction, other acute/subacute forms of ischemic heart disease, old myocardial infarction, other forms of chronic ischemic heart disease, certain unspecified sequelae of myocardial infarction, coronary bypass, or coronary revascularization (36.1, 36.2, 410, 411, 412, 414, 429.7); ICD-10 diagnosis code for acute myocardial infarction, subsequent myocardial infarction, complications following myocardial infarction, other acute ischemic heart disease, or chronic ischemic heart disease (I21, I22, I23, I24, I25); CPT procedure code for coronary artery bypass, percutaneous transluminal angioplasty/revascularization/thrombectomy, or coronary thrombolysis (3351x, 3353x, 9292x, 9293x, 9294x, 9297x)
[
  • 4,658 cases
  • , 4,412 controls
]
,
59.0 % Male samples
Mean = 68.0 years European, African unspecified African unspecified=1927, European=7143 PMB
PSS000520 ICD-9 diagnosis code for acute myocardial infarction, other acute/subacute forms of ischemic heart disease, old myocardial infarction, other forms of chronic ischemic heart disease, certain unspecified sequelae of myocardial infarction, coronary bypass, or coronary revascularization (36.1, 36.2, 410, 411, 412, 414, 429.7); ICD-10 diagnosis code for acute myocardial infarction, subsequent myocardial infarction, complications following myocardial infarction, other acute ischemic heart disease, or chronic ischemic heart disease (I21, I22, I23, I24, I25); CPT procedure code for coronary artery bypass, percutaneous transluminal angioplasty/revascularization/thrombectomy, or coronary thrombolysis (3351x, 3353x, 9292x, 9293x, 9294x, 9297x)
[
  • 11,020 cases
  • , 36,088 controls
]
,
46.52 % Male samples
Mean = 59.6 years European, African unspecified, Hispanic or Latin American, East Asian, South Asian African unspecified=9773, East Asian=167, European=29212, Hispanic or Latin America=7847, South Asian=109 BioMe, PHB, PMB
PSS000092 Incident Major coronary events (MCE) are defined as: fatal or nonfatal coronary artery disease (CAD) events, nonfatal myocardial infarction, or unstable angina Median = 4.7 years
[
  • 675 cases
  • , 4,685 controls
]
,
64.8 % Male samples
Mean = 62.8 years European Self reported white ACCORD Type 2 Diabetes patients
PSS000093 Incident Major coronary events (MCE) are defined as: fatal or nonfatal coronary artery disease (CAD) events, nonfatal myocardial infarction, or unstable angina Median = 6.2 years
[
  • 163 cases
  • , 1,768 controls
]
European Self reported white ORIGIN Participants are from the Outcome Reduction With Initial Glargine Intervention (ORIGIN) trial and were enrolled based on having some combination of impaired fasting glucose, impaired glucose tolerance or type 2 diabetes, and high cardiovascular risk
PSS009971 30,716 individuals European MGBB
PSS009971 1,807 individuals African unspecified
(Black)
MGBB
PSS009971 786 individuals Asian unspecified MGBB
PSS009971 3,113 individuals Other MGBB
PSS011183
[
  • 72,052 cases
  • , 94,662 controls
]
,
44.3 % Male samples
Mean = 56.2 years
Sd = 8.05 years
European
(British)
UKB
PSS010137 Incident MI was defined by the general International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10), code I21 and its subcodes I210-I214 and I219. 330,201 individuals,
43.0 % Male samples
Median = 57.0 years European UKB
PSS000094 Incident CHD was defined as myocardial infarction (MI), resuscitated cardiac arrest, definite or probable angina if followed by a revascularization and CHD death
[
  • 86 cases
  • , 1,234 controls
]
Mean = 62.6 years European Analysis restricted to "White participants" MESA
PSS000095 Incident CHD was defined as myocardial infarction (MI), resuscitated cardiac arrest, definite or probable angina if followed by a revascularization and CHD death
[
  • 144 cases
  • , 1,062 controls
]
Mean = 62.7 years European Analysis restricted to "White participants" MESA
PSS011357 14,298 individuals European FOURIER
PSS010960 ICD 10: I21,I210,I211,I212,I213,I214,I219,I22,I220,I221,I228,I229,I23,I230,I231,I232,I233,I234,I235,I236,I238,I24,I240,I241,I248,I249,I252; ICD9: 410, 411, 412, 4119,4129,4109; OPCS: K40,K401,K402,K403,K404,K408,K409,K41,K411,K412,K413,K414,K418,K419,K42,K421,K422,K423,K424,K428,K429,K43,K431,K432,K433,K434,K438,K439,K44,K441,K442,K448,K449,K451,K452,K453,K454,K455,K456,K458,K459,K46,K461,K462,K463,K464,K465,K468,K469,K471,K491,K492,K493,K494,K498,K499,K501,K502,K504,K751,K752,K753,K754,K758,K759 Mean = 12.0 years
Range = [11.2, 12.7] years
[
  • 10,492 cases
  • , 297,772 controls
]
,
45.6 % Male samples
Mean = 57.3 years European UKB Excluding first released tranche of genotypes from UKBB
PSS010961 ICD 10: I21,I210,I211,I212,I213,I214,I219,I22,I220,I221,I228,I229,I23,I230,I231,I232,I233,I234,I235,I236,I238,I24,I240,I241,I248,I249,I252; ICD9: 410, 411, 412, 4119,4129,4109; OPCS: K40,K401,K402,K403,K404,K408,K409,K41,K411,K412,K413,K414,K418,K419,K42,K421,K422,K423,K424,K428,K429,K43,K431,K432,K433,K434,K438,K439,K44,K441,K442,K448,K449,K451,K452,K453,K454,K455,K456,K458,K459,K46,K461,K462,K463,K464,K465,K468,K469,K471,K491,K492,K493,K494,K498,K499,K501,K502,K504,K751,K752,K753,K754,K758,K759 Mean = 12.0 years
Range = [11.2, 12.7] years
[
  • 124 cases
  • , 7,157 controls
]
,
43.5 % Male samples
Mean = 52.4 years African unspecified UKB
PSS010962 ICD 10: I21,I210,I211,I212,I213,I214,I219,I22,I220,I221,I228,I229,I23,I230,I231,I232,I233,I234,I235,I236,I238,I24,I240,I241,I248,I249,I252; ICD9: 410, 411, 412, 4119,4129,4109; OPCS: K40,K401,K402,K403,K404,K408,K409,K41,K411,K412,K413,K414,K418,K419,K42,K421,K422,K423,K424,K428,K429,K43,K431,K432,K433,K434,K438,K439,K44,K441,K442,K448,K449,K451,K452,K453,K454,K455,K456,K458,K459,K46,K461,K462,K463,K464,K465,K468,K469,K471,K491,K492,K493,K494,K498,K499,K501,K502,K504,K751,K752,K753,K754,K758,K759 Mean = 12.0 years
Range = [11.2, 12.7] years
[
  • 22 cases
  • , 1,442 controls
]
,
37.2 % Male samples
Mean = 53.0 years East Asian UKB
PSS010963 ICD 10: I21,I210,I211,I212,I213,I214,I219,I22,I220,I221,I228,I229,I23,I230,I231,I232,I233,I234,I235,I236,I238,I24,I240,I241,I248,I249,I252; ICD9: 410, 411, 412, 4119,4129,4109; OPCS: K40,K401,K402,K403,K404,K408,K409,K41,K411,K412,K413,K414,K418,K419,K42,K421,K422,K423,K424,K428,K429,K43,K431,K432,K433,K434,K438,K439,K44,K441,K442,K448,K449,K451,K452,K453,K454,K455,K456,K458,K459,K46,K461,K462,K463,K464,K465,K468,K469,K471,K491,K492,K493,K494,K498,K499,K501,K502,K504,K751,K752,K753,K754,K758,K759 Mean = 12.0 years
Range = [11.2, 12.7] years
[
  • 542 cases
  • , 8,440 controls
]
,
54.1 % Male samples
Mean = 53.8 years South Asian UKB
PSS010964 ICD 10: I21-I25; Z95.1, Z98.61; ICD9: 0.66, 36.X, 99.1, 410, 411.X, 412, 414.X, V45.81, V45.82
[
  • 4,831 cases
  • , 28,265 controls
]
African American or Afro-Caribbean MVP Excluding individuals in published GWAS (GCST90132302)
PSS010965 ICD 10: I21-I25; Z95.1, Z98.61; ICD9: 0.66, 36.X, 99.1, 410, 411.X, 412, 414.X, V45.81, V45.82
[
  • 29,171 cases
  • , 95,296 controls
]
European MVP Excluding individuals in published GWAS (GCST90132302)
PSS010966 ICD 10: I21-I25; Z95.1, Z98.61; ICD9: 0.66, 36.X, 99.1, 410, 411.X, 412, 414.X, V45.81, V45.82
[
  • 2,140 cases
  • , 14,293 controls
]
Hispanic or Latin American MVP Excluding individuals in published GWAS (GCST90132302)
PSS010967 ICD10: I21.X, I22.X, I23.X, I24.1, or I25.2; K40.1-40.4, K41.1-41.4, K45.1-45.5, K49.1-49.2, K49.8-49.9, K50.2, K75.1-75.4, or K75.8-75.9 ICD9: 410.X, 411.0, 412.X, or 429.79
[
  • 853 cases
  • , 16,021 controls
]
South Asian
(Bangladeshi, Pakistani)
G&H Excluding individuals in published GWAS (GCST90140952)
PSS011364 56,192 individuals European UKB
PSS009986
[
  • 1,014 cases
  • , 6,009 controls
]
,
47.0 % Male samples
Greater Middle Eastern (Middle Eastern, North African or Persian)
(Qatari)
QBB
PSS007975 1,794 individuals East Asian China (East Asia) UKB
PSS010981
[
  • 210 cases
  • , 3,249 controls
]
,
46.0 % Male samples
Mean = 52.83 years European CoLaus
PSS009989 360,098 individuals,
45.1 % Male samples
Mean = 56.95 years European UKB
PSS010160
[
  • 17,202 cases
  • , 59,507 controls
]
African American or Afro-Caribbean MVP
PSS010161
[
  • 6,378 cases
  • , 24,270 controls
]
Hispanic or Latin American MVP
PSS010162
[
  • 95,151 cases
  • , 197,287 controls
]
European MVP
PSS001063 Cases were individuals with incident coronary heart disesase (CHD). The outcome CHD was a combined endpoint of nonfatal myocardial infarction as well as coronary death and sudden death (International Classification of Disease 9th Revision: 410–414 and 798). Until December 2000, the diagnosis of a major, nonfatal myocardial infarction and coronary death was based on the MONICA algorithm in which a diagnosis of a major CHD event was based on symptoms, cardiac enzymes (creatine kinase, aspartate aminotransferase, and lactate dehydrogenase), serial changes from 12‐lead electrocardiograms (ECGs) evaluated by Minnesota coding, necropsy results and history of CHD in fatal cases. Since January 1, 2001, the diagnosis of myocardial infarction was based on the European Society of Cardiology and American College of Cardiology criteria. Incident events were identified through follow‐up questionnaires or through the MONICA/KORA myocardial infarction registry, which monitors the occurrence of all in‐ and out of‐hospital fatal and nonfatal myocardial infarctions among the 25–74‐year‐old inhabitants of the study region. Initially identified self‐reported incident cases and the self‐reported date of diagnosis not covered by the MONICA/KORA myocardial infarction registry, were validated by hospital records or by contacting the patient's treating physician. Deaths from myocardial in- farction were validated by death certificates, autopsy reports, chart reviews, or information from the last treating physician. Median = 14.0 years
IQR = [14.0, 14.0] years
[
  • 160 cases
  • , 2,749 controls
]
,
48.1 % Male samples
European KORA
PSS001064 Cases were individuals with incident coronary heart disesase (CHD). The outcome CHD was a combined endpoint of nonfatal myocardial infarction as well as coronary death and sudden death (International Classification of Disease 9th Revision: 410–414 and 798). Until December 2000, the diagnosis of a major, nonfatal myocardial infarction and coronary death was based on the MONICA algorithm in which a diagnosis of a major CHD event was based on symptoms, cardiac enzymes (creatine kinase, aspartate aminotransferase, and lactate dehydrogenase), serial changes from 12‐lead electrocardiograms (ECGs) evaluated by Minnesota coding, necropsy results and history of CHD in fatal cases. Since January 1, 2001, the diagnosis of myocardial infarction was based on the European Society of Cardiology and American College of Cardiology criteria. Incident events were identified through follow‐up questionnaires or through the MONICA/KORA myocardial infarction registry, which monitors the occurrence of all in‐ and out of‐hospital fatal and nonfatal myocardial infarctions among the 25–74‐year‐old inhabitants of the study region. Initially identified self‐reported incident cases and the self‐reported date of diagnosis not covered by the MONICA/KORA myocardial infarction registry, were validated by hospital records or by contacting the patient's treating physician. Deaths from myocardial in- farction were validated by death certificates, autopsy reports, chart reviews, or information from the last treating physician. Median = 14.0 years
IQR = [10.3, 14.0] years
[
  • 451 cases
  • , 1,488 controls
]
,
53.06 % Male samples
European KORA
PSS010158
[
  • 1,552 cases
  • , 15,520 controls
]
African American or Afro-Caribbean MVP
PSS010159
[
  • 574 cases
  • , 5,740 controls
]
Hispanic or Latin American MVP
PSS010163
[
  • 6,158 cases
  • , 61,580 controls
]
European MVP
PSS000929 For GERMIFSI and GERMIFSII, CAD was defined as Myocardinal infarction before the age of 60 and 1 or more 1st- degree relative with CAD. In GERMIFSIII CAD was defined as myocardial infarction between the ages of 26 and 74. In GERMIFSIV, cases were based on a CAD diagnosis before age 65 in men or age 70 in women. In Luric, cases were ascertained as >50% angiographic confirmation of vascular obstruction in 1 or more coronary vessel
[
  • 2,919 cases
  • , 2,662 controls
]
European GerMIFS, LURIC
PSS000930 CAD ascertainment was based on myocardial infarction diagnosis or death cause using ICD-10 codes I21.X, I22.X, I23.X, I24.1, or I25.2
[
  • 840 cases
  • , 26,208 controls
]
European EB
PSS000931 CAD ascertainment was based on a composite of myocardial infarction or coronary revascularization. Myocardial infarction was based on ICD-9 codes 410.X, 411.X, 412.X, or 429.79, or ICD-10 codes I21.X, I22.X, I23.X, I24.1, or I25.2. Coronary revascularization was assessed based on OPCS-4 coded procedure for coronary artery bypass grafting (K40.1-40-4, K41.1-41.4, or K45.1-45.5), or coronary angioplasty with or without stenting (K49.1-49.2, K49.0-49.9, K50.2, K75.1-75.4, or K75.8-75.9)
[
  • 21,025 cases
  • , 410,789 controls
]
European UKB
PSS011378 5,740 individuals,
46.0 % Male samples
Median = 52.0 years
IQR = [48.0, 56.0] years
European ARIC
PSS011379 2,154 individuals,
45.0 % Male samples
Median = 43.0 years
IQR = [41.0, 45.0] years
European FOS
PSS000365 Case-control study of first-onset acute myocardial infarction
[
  • 247 cases
]
,
90.7 % Male samples
Mean = 34.0 years
IQR = [30.0, 35.0] years
South Asian BRAVE
PSS000365 Case-control study of first-onset acute myocardial infarction 244 individuals,
90.2 % Male samples
Mean = 33.0 years
IQR = [30.0, 35.0] years
South Asian BRAVE
PSS000366 Cases composed of men and women diagnosed with coronary artery disease. Controls were selected from consenting men and women without any form of heart disease.
[
  • 1,800 cases
]
,
90.2 % Male samples
Mean = 54.0 years
IQR = [46.0, 60.0] years
South Asian MedGenome
PSS003596 All individuals had breast cancer. Cases were individuals who suffered incident coronary artery disease (CAD) events. Incident CAD events were defined as a composite endpoint of unstable angina, myocardial infarction, or death due to complications following myocardial infarction according to the International Statistical Classification of Diseases and Related Health Problems 10th Revision (ICD-10 codes): I21, I22, I23, I25 and I25.
[
  • 432 cases
  • , 8,514 controls
]
,
0.0 % Male samples
European SEARCH
PSS000367 Ascertainment of coronary artery disease was based on self-report or hospital admission diagnosis. This included individuals with ICD-9 codes of 410.X, 411.0, 412.X, or 429.79, or ICD-10 codes of I21.X, I22.X, I23.X, I24.1, or I25.2 in hospitalization records. Coronary revascularization was assessed based on an OPCS-4 coded procedure for coronary artery bypass grafting (K40.1–40.4, K41.1–41.4, or K45.1–45.5), or coronary angioplasty with or without stenting (K49.1–49.2, K49.8–49.9, K50.2, K75.1–75.4, or K75.8–75.9).
[
  • 398 cases
]
,
86.7 % Male samples
Mean = 60.6 years
IQR = [54.4, 66.1] years
South Asian UKB
PSS000367 Ascertainment of coronary artery disease was based on self-report or hospital admission diagnosis. This included individuals with ICD-9 codes of 410.X, 411.0, 412.X, or 429.79, or ICD-10 codes of I21.X, I22.X, I23.X, I24.1, or I25.2 in hospitalization records. Coronary revascularization was assessed based on an OPCS-4 coded procedure for coronary artery bypass grafting (K40.1–40.4, K41.1–41.4, or K45.1–45.5), or coronary angioplasty with or without stenting (K49.1–49.2, K49.8–49.9, K50.2, K75.1–75.4, or K75.8–75.9). 6,846 individuals,
52.1 % Male samples
Mean = 52.8 years
IQR = [46.3, 60.2] years
South Asian UKB
PSS000366 Cases composed of men and women diagnosed with coronary artery disease. Controls were selected from consenting men and women without any form of heart disease. 1,163 individuals,
76.4 % Male samples
Mean = 55.0 years
IQR = [49.0, 62.0] years
South Asian MedGenome
PSS011380 1,863 individuals,
46.0 % Male samples
Median = 30.0 years
IQR = [26.0, 34.0] years
European FOS
PSS003597 All individuals had breast cancer. Cases were individuals who suffered incident coronary artery disease (CAD) events. Incident CAD events were defined as a composite endpoint of unstable angina, myocardial infarction, or death due to complications following myocardial infarction according to the International Statistical Classification of Diseases and Related Health Problems 10th Revision (ICD-10 codes): I21, I22, I23, I25 and I25. Median = 10.3 years
[
  • 750 cases
  • , 11,663 controls
]
,
0.0 % Male samples
European, African unspecified, Asian unspecified, Not reported European = 11,995, African unspecified = 1, Asian unspecified = 2, Not reported = 413 SEARCH
PSS009513
[
  • 29,080 cases
  • , 149,646 controls
]
East Asian
(Japanese)
BBJ
PSS009517
[
  • 5,064 cases
  • , 105,533 controls
]
European
(Estonian)
EB
PSS003605
[
  • 3,467 cases
  • , 172,771 controls
]
Mean = 56.81 years European UKB
PSS009521
[
  • 25,706 cases
  • , 232,696 controls
]
European
(Finnish)
FinnGen
PSS011389 Median = 8.2 years 21,824 individuals,
43.4 % Male samples
Median = 63.1 years European GERA
PSS009525
[
  • 6,594 cases
  • , 62,828 controls
]
European Norwegian HUNT
PSS009529
[
  • 285 cases
  • , 1,250 controls
]
African American or Afro-Caribbean MGBB
PSS011390 CVD ICD-10: I20-I25, I60-I64, G45 12,780 individuals,
0.0 % Male samples
European UKB Mean age of full combined ancestry cohort = 58.8 years (sd = 7.1)
PSS011390 CVD ICD-10: I20-I25, I60-I64, G45 568 individuals,
0.0 % Male samples
Not reported UKB Mean age of full combined ancestry cohort = 58.8 years (sd = 7.1)
PSS009533
[
  • 3,206 cases
  • , 22,490 controls
]
European MGBB
PSS009537
[
  • 169 cases
  • , 7,449 controls
]
African unspecified UKB
PSS009541
[
  • 17,986 cases
  • , 325,690 controls
]
European British UKB
PSS009545
[
  • 740 cases
  • , 6,888 controls
]
South Asian UKB
PSS009085 4,021 individuals European Poland (NE Europe) UKB
PSS000383 Coronary artery disease was defined as myocardial infarction and its related sequelae (coronary angioplasty, and coronary artery bypass grafts). ICD-10 codes: I21, I22, I23, I24.1, I25.2 ICD-9 codes: 410, 411, 412, 429.79 OPCS-4 codes: K40.1-4, K41.1-4, K45.1-5, K49.1-2, K49.8-9, K50.2, K75.1-4, K54.8-9 UKBiobank field 20002 code: 1075 UKBiobank field 20004 codes: 1070, 1095 UKBiobank field 6150 code: 1 See eTable 1 for risk factor codings Mean = 8.01 years
Sd = 1.04 years
[
  • 1,350 cases
  • , 146,635 controls
]
Range = [40.0, 55.0] years European, African unspecified, NR 98.3% White European, 1.7% Black/Other UKB PCE Prospective Cohort (lipid-lowering treatment performed)
PSS007665 Of the 1,132 individuals, 1,070 had a coronary artery calcium (CAC) score ≤ 20, whilst the remaining 62 had a CAC score >20. To calculate CAC scores, participants underwent two computed tomography scans from the root of the aorta to the apex of the heart at year 15. From these, Agatston scores, adjusted using a standard calcium phantom scanned underneath each participant, were computed for the four major arteries. The CAC Agatston score is the average of two scans.
[
  • 62 cases
  • , 1,070 controls
]
,
48.1 % Male samples
Mean = 25.6 years
Sd = 3.3 years
European CARDIA
PSS007666 Of the 663 individuals, 500 individuals had a coronary artery calcium (CAC) score ≤ 300, whilst the remaining 93 had a CAC score > 300. To calculate CAC scores, participants underwent two computed tomography scans from the root of the aorta to the apex of the heart at year 30. From these, Agatston scores, adjusted using a standard calcium phantom scanned underneath each participant, were computed for the four major arteries. The CAC Agatston score is the average of two scans.
[
  • 93 cases
  • , 570 controls
]
,
46.5 % Male samples
Mean = 27.8 years
Sd = 4.7 years
European FOS
PSS000385 Coronary artery disease was defined as myocardial infarction and its related sequelae (coronary angioplasty, and coronary artery bypass grafts). ICD-10 codes: I21, I22, I23, I24.1, I25.2 ICD-9 codes: 410, 411, 412, 429.79 OPCS-4 codes: K40.1-4, K41.1-4, K45.1-5, K49.1-2, K49.8-9, K50.2, K75.1-4, K54.8-9 UKBiobank field 20002 code: 1075 UKBiobank field 20004 codes: 1070, 1095 UKBiobank field 6150 code: 1 See eTable 1 for risk factor codings Mean = 8.01 years
Sd = 1.04 years
[
  • 1,339 cases
  • , 145,771 controls
]
Range = [40.0, 55.0] years European, South Asian, African American or Afro-Caribbean, African unspecified, East Asian, Asian unspecified 2,332 Africans, 145 Bangladeshi, 3,165 Carribeans, 1,136 Chinese, 3,790 Indians, 1,258 Other Asians, 1,182 Pakistani, 332,326 White Europeans and Unkown ancestry UKB QRISK3 Prospective Cohort/Testing Set (lipid-lowering treatment performed)
PSS000387 Coronary artery disease was defined as myocardial infarction and its related sequelae (coronary angioplasty, and coronary artery bypass grafts). ICD-10 codes: I21, I22, I23, I24.1, I25.2 ICD-9 codes: 410, 411, 412, 429.79 OPCS-4 codes: K40.1-4, K41.1-4, K45.1-5, K49.1-2, K49.8-9, K50.2, K75.1-4, K54.8-9 UKBiobank field 20002 code: 1075 UKBiobank field 20004 codes: 1070, 1095 UKBiobank field 6150 code: 1 See eTable 1 for risk factor codings Mean = 8.01 years
Sd = 1.04 years
[
  • 4,922 cases
  • , 199,753 controls
]
Range = [55.0, 69.0] years European, African unspecified, NR 98.3% White European, 1.7% Black/Other UKB PCE Prospective Cohort (lipid-lowering treatment performed)
PSS000389 Coronary artery disease was defined as myocardial infarction and its related sequelae (coronary angioplasty, and coronary artery bypass grafts). ICD-10 codes: I21, I22, I23, I24.1, I25.2 ICD-9 codes: 410, 411, 412, 429.79 OPCS-4 codes: K40.1-4, K41.1-4, K45.1-5, K49.1-2, K49.8-9, K50.2, K75.1-4, K54.8-9 UKBiobank field 20002 code: 1075 UKBiobank field 20004 codes: 1070, 1095 UKBiobank field 6150 code: 1 See eTable 1 for risk factor codings Mean = 8.01 years
Sd = 1.04 years
[
  • 4,900 cases
  • , 198,720 controls
]
Range = [55.0, 69.0] years European, South Asian, African American or Afro-Caribbean, African unspecified, East Asian, Asian unspecified 2,332 Africans, 145 Bangladeshi, 3,165 Carribeans, 1,136 Chinese, 3,790 Indians, 1,258 Other Asians, 1,182 Pakistani, 332,326 White Europeans and Unkown ancestry UKB QRISK3 Prospective Cohort/Testing Set (lipid-lowering treatment performed)
PSS000391 Coronary artery disease was defined as myocardial infarction and its related sequelae (coronary angioplasty, and coronary artery bypass grafts). ICD-10 codes: I21, I22, I23, I24.1, I25.2 ICD-9 codes: 410, 411, 412, 429.79 OPCS-4 codes: K40.1-4, K41.1-4, K45.1-5, K49.1-2, K49.8-9, K50.2, K75.1-4, K54.8-9 UKBiobank field 20002 code: 1075 UKBiobank field 20004 codes: 1070, 1095 UKBiobank field 6150 code: 1 See eTable 1 for risk factor codings Mean = 8.01 years
Sd = 1.04 years
[
  • 4,493 cases
  • , 142,870 controls
]
,
100.0 % Male samples
Mean = 55.79 years
Sd = 8.35 years
European, African unspecified, NR 98.3% White European, 1.7% Black/Other UKB PCE Prospective Cohort (lipid-lowering treatment performed)
PSS000393 Coronary artery disease was defined as myocardial infarction and its related sequelae (coronary angioplasty, and coronary artery bypass grafts). ICD-10 codes: I21, I22, I23, I24.1, I25.2 ICD-9 codes: 410, 411, 412, 429.79 OPCS-4 codes: K40.1-4, K41.1-4, K45.1-5, K49.1-2, K49.8-9, K50.2, K75.1-4, K54.8-9 UKBiobank field 20002 code: 1075 UKBiobank field 20004 codes: 1070, 1095 UKBiobank field 6150 code: 1 See eTable 1 for risk factor codings Mean = 8.01 years
Sd = 1.04 years
[
  • 4,471 cases
  • , 142,102 controls
]
,
100.0 % Male samples
Mean = 55.8 years
Sd = 8.3 years
European, South Asian, African American or Afro-Caribbean, African unspecified, East Asian, Asian unspecified 2,332 Africans, 145 Bangladeshi, 3,165 Carribeans, 1,136 Chinese, 3,790 Indians, 1,258 Other Asians, 1,182 Pakistani, 332,326 White Europeans and Unkown ancestry UKB QRISK3 Prospective Cohort/Testing Set (lipid-lowering treatment performed)
PSS000395 Coronary artery disease was defined as myocardial infarction and its related sequelae (coronary angioplasty, and coronary artery bypass grafts). ICD-10 codes: I21, I22, I23, I24.1, I25.2 ICD-9 codes: 410, 411, 412, 429.79 OPCS-4 codes: K40.1-4, K41.1-4, K45.1-5, K49.1-2, K49.8-9, K50.2, K75.1-4, K54.8-9 UKBiobank field 20002 code: 1075 UKBiobank field 20004 codes: 1070, 1095 UKBiobank field 6150 code: 1 See eTable 1 for risk factor codings Mean = 8.01 years
Sd = 1.04 years
[
  • 1,779 cases
  • , 203,518 controls
]
,
0.0 % Male samples
Mean = 56.0 years
Sd = 8.01 years
European, African unspecified, NR 98.3% White European, 1.7% Black/Other UKB PCE Prospective Cohort (lipid-lowering treatment performed)
PSS000397 Coronary artery disease was defined as myocardial infarction and its related sequelae (coronary angioplasty, and coronary artery bypass grafts). ICD-10 codes: I21, I22, I23, I24.1, I25.2 ICD-9 codes: 410, 411, 412, 429.79 OPCS-4 codes: K40.1-4, K41.1-4, K45.1-5, K49.1-2, K49.8-9, K50.2, K75.1-4, K54.8-9 UKBiobank field 20002 code: 1075 UKBiobank field 20004 codes: 1070, 1095 UKBiobank field 6150 code: 1 See eTable 1 for risk factor codings Mean = 8.01 years
Sd = 1.04 years
[
  • 1,768 cases
  • , 202,389 controls
]
,
0.0 % Male samples
Mean = 56.0 years
Sd = 8.0 years
European, South Asian, African American or Afro-Caribbean, African unspecified, East Asian, Asian unspecified 2,332 Africans, 145 Bangladeshi, 3,165 Carribeans, 1,136 Chinese, 3,790 Indians, 1,258 Other Asians, 1,182 Pakistani, 332,326 White Europeans and Unkown ancestry UKB QRISK3 Prospective Cohort/Testing Set (lipid-lowering treatment performed)
PSS000399 Coronary artery disease was defined as myocardial infarction and its related sequelae (coronary angioplasty, and coronary artery bypass grafts). ICD-10 codes: I21, I22, I23, I24.1, I25.2 ICD-9 codes: 410, 411, 412, 429.79 OPCS-4 codes: K40.1-4, K41.1-4, K45.1-5, K49.1-2, K49.8-9, K50.2, K75.1-4, K54.8-9 UKBiobank field 20002 code: 1075 UKBiobank field 20004 codes: 1070, 1095 UKBiobank field 6150 code: 1 See eTable 1 for risk factor codings Mean = 8.01 years
Sd = 1.04 years
[
  • 6,272 cases
  • , 346,388 controls
]
,
41.8 % Male samples
Mean = 55.9 years
Range = [40.0, 69.0] years
European, African unspecified, NR 98.3% White European, 1.7% Black/Other UKB PCE Prospective Cohort (lipid-lowering treatment performed)
PSS000401 Coronary artery disease was defined as myocardial infarction and its related sequelae (coronary angioplasty, and coronary artery bypass grafts). ICD-10 codes: I21, I22, I23, I24.1, I25.2 ICD-9 codes: 410, 411, 412, 429.79 OPCS-4 codes: K40.1-4, K41.1-4, K45.1-5, K49.1-2, K49.8-9, K50.2, K75.1-4, K54.8-9 UKBiobank field 20002 code: 1075 UKBiobank field 20004 codes: 1070, 1095 UKBiobank field 6150 code: 1 See eTable 1 for risk factor codings Mean = 8.01 years
Sd = 1.04 years
[
  • 6,239 cases
  • , 344,491 controls
]
,
41.0 % Male samples
Range = [40.0, 69.0] years European, South Asian, African American or Afro-Caribbean, African unspecified, East Asian, Asian unspecified 2,332 Africans, 145 Bangladeshi, 3,165 Carribeans, 1,136 Chinese, 3,790 Indians, 1,258 Other Asians, 1,182 Pakistani, 332,326 White Europeans and Unkown ancestry UKB QRISK3 Prospective Cohort/Testing Set (lipid-lowering treatment performed)
PSS007681 Coronary heart disease was defined as Myocardial infarction | Coronary angioplasty | Coronary artery bypass grafting. ICD 8/9/10 codes are listed in Supplementary Data 1. National registeries were used to assess disease incidence. Follow-up ended at first-ever diagnosis of the disease of interest, death or at the end of follow-up on December 31, 2019, whichever came first. Median = 15.3 years
IQR = [7.8, 22.6] years
[
  • 33,628 cases
  • , 275,526 controls
]
,
43.8 % Male samples
Mean (Age At Baseline) = 53.2 years
Sd = 17.4 years
European
(Finnish)
FinnGen
PSS000283 Composite endpoint of either: myocardial infarction, coronary revascularization, death from coronary causes. Mean = 18.8 years
[
  • 1,230 cases
  • , 6,584 controls
]
,
45.0 % Male samples
Mean = 54.0 years
Sd = 5.7 years
European ARIC
PSS000284 Cross-sectional analysis of baseline scores for coronary artery calcification (Agatston score) 4,260 individuals,
44.0 % Male samples
Mean = 69.1 years
Sd = 6.0 years
European BioImage
PSS000285 Composite endpoint of either: myocardial infarction, coronary revascularization, death from coronary causes. Mean = 19.4 years
[
  • 2,902 cases
  • , 19,487 controls
]
,
38.0 % Male samples
Mean = 58.0 years
Sd = 7.7 years
European MDC-CC
PSS000286 Composite endpoint of either: myocardial infarction, coronary revascularization, death from coronary causes. Mean = 20.5 years
[
  • 971 cases
  • , 20,251 controls
]
,
0.0 % Male samples
Mean = 54.2 years
Sd = 7.1 years
European WGHS
PSS000287 (i) Secondary cardiovascular events (sCVE; incl myocardial infarction, stroke, ruptured abdominal aortic aneurysm, fatal cardiac failure, percuteneous of bypass surgery, leg amputation due to cardiovascular causes, cardiovascular death), (ii) atherosclerotic carotid plaque characteristics Mean = 3.0 years 1,319 individuals,
69.3 % Male samples
Mean = 68.8 years
Sd = 9.3 years
European
(Dutch)
AEGS1
PSS007687 Coronary heart disease was defined as Myocardial infarction | Coronary angioplasty | Coronary artery bypass grafting. ICD 9/10 codes are listed in Supplementary Data 1. National registeries were used to assess disease incidence. Follow-up ended at first-ever diagnosis of the disease of interest, death or at the censoring date of hospital inpatient data (UK Biobank; English hospital inpatient records up to May 2020, Scottish up to November 2016, Welsh up to March 2016), whichever came first. Median = 10.7 years
IQR = [8.6, 11.6] years
[
  • 18,698 cases
  • , 324,974 controls
]
,
46.3 % Male samples
Mean (Age At Baseline) = 57.4 years
Sd = 8.0 years
European
(British)
UK Biobank participants with non-British ancestry were excluded based on genetically inferred ancestry. UKB
PSS007688 Coronary heart disease was defined as Myocardial infarction | Coronary angioplasty | Coronary artery bypass grafting. ICD 9/10 codes are listed in Supplementary Data 1. National registeries were used to assess disease incidence. Follow-up ended at first-ever diagnosis of the disease of interest, death or at the censoring date of hospital inpatient data (UK Biobank; English hospital inpatient records up to May 2020, Scottish up to November 2016, Welsh up to March 2016), whichever came first.
[
  • 7,396 cases
  • , 324,974 controls
]
,
45.1 % Male samples
Mean (Age At Baseline) = 57.2 years
Sd = 8.0 years
European
(British)
UK Biobank participants with non-British ancestry were excluded based on genetically inferred ancestry. UKB
PSS007689 Coronary heart disease was defined as Myocardial infarction | Coronary angioplasty | Coronary artery bypass grafting. ICD 9/10 codes are listed in Supplementary Data 1. National registeries were used to assess disease incidence. Follow-up ended at first-ever diagnosis of the disease of interest, death or at the censoring date of hospital inpatient data (UK Biobank; English hospital inpatient records up to May 2020, Scottish up to November 2016, Welsh up to March 2016), whichever came first.
[
  • 11,302 cases
  • , 332,370 controls
]
,
46.3 % Male samples
Mean (Age At Baseline) = 57.4 years
Sd = 8.0 years
European
(British)
UK Biobank participants with non-British ancestry were excluded based on genetically inferred ancestry. UKB
PSS007683 Coronary heart disease was defined as Myocardial infarction | Coronary angioplasty | Coronary artery bypass grafting. ICD 8/9/10 codes are listed in Supplementary Data 1. National registeries were used to assess disease incidence. Follow-up ended at first-ever diagnosis of the disease of interest, death or at the end of follow-up on December 31, 2019, whichever came first.
[
  • 17,434 cases
  • , 291,720 controls
]
,
43.8 % Male samples
Mean (Age At Baseline) = 53.2 years
Sd = 17.4 years
European
(Finnish)
FinnGen
PSS007682 Coronary heart disease was defined as Myocardial infarction | Coronary angioplasty | Coronary artery bypass grafting. ICD 8/9/10 codes are listed in Supplementary Data 1. National registeries were used to assess disease incidence. Follow-up ended at first-ever diagnosis of the disease of interest, death or at the end of follow-up on December 31, 2019, whichever came first.
[
  • 16,194 cases
  • , 275,526 controls
]
,
42.2 % Male samples
Mean (Age At Baseline) = 52.2 years
Sd = 17.3 years
European
(Finnish)
FinnGen
PSS008639 6,492 individuals European Italy (South Europe) UKB