| 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 |
38 synonyms
|
| Mapped terms |
25 mapped terms
|
| Child trait(s) | 2 child traits |
| 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 | |
| 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 | |
| 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 | |
| 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 |
| 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 |
|
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 | — |
| 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 | — |
| 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 | — |
| 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 | — |
| 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 | — |
| 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 | — |
| 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. |
| 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] | — | — | — |
| 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 |
| 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 |
| 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 |
| 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 | — |
| 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 | — |
| 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 | — |
| 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 | — |
| 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 | — |
| 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] | R²: 0.087 [0.074, 0.101] | — | — |
| 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] | — | — |
| 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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] | R²: 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) | — |
| 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 | — |
| 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 | — |
| 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 | — |
| 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) | — |
| 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 | — |
|
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 | — | [ ,
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 | — | [ ,
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 | — | [ ,
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 | — | [ ,
77.5 % Male samples |
— | European | — | PROVEIT | Secondary prevention cohorts |
| PSS000010 | Incident CHD was defined as coronary revascularization, fatal or nonfatal myocardial infarction, or death due to ischemic heart disease. | — | [ ,
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) | — | [ ,
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. | — | [ ,
46.0 % Male samples |
— | European (Finnish) |
— | FINRISK | FR92, FR97, FR02 |
| PSS009589 | — | Mean = 13.0 years | [ ,
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 | [ ,
56.1 % Male samples |
Mean = 65.2 years | European, NR | — | GoDARTS | — |
| PSS004726 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004727 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004728 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004729 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004730 | — | — | [
|
— | 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). | — | [
|
— | 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. | — | [ ,
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). | — | [ ,
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). | — | [
|
— | 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). | — | [
|
— | 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). | — | [ ,
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). | — | [ ,
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. | — | [ ,
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). | — | [ ,
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). | — | [ ,
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. | — | [ ,
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. | — | [ ,
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 | [
|
— | East Asian (Japanese) |
— | BBJ | — |
| PSS000455 | Cause of death under ICD-10.CHF code | Median = 7.7 years | [
|
— | East Asian (Japanese) |
— | BBJ | — |
| PSS000456 | Cause of death under ICD-10.I codes | Median = 7.7 years | [
|
— | East Asian (Japanese) |
— | BBJ | — |
| PSS000457 | Cause of death under ICD-10.IHD code | Median = 7.7 years | [
|
— | East Asian (Japanese) |
— | BBJ | — |
| PSS000458 | Cause of death under ICD-10.J codes | Median = 7.7 years | [
|
— | 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. | — | [ ,
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 | [ ,
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 |
| 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 | [ ,
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 | [ ,
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. | — | [ ,
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 |
[ ,
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 |
[ ,
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 |
[ ,
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 | — |
| PSS000219 | Phenotypic information was self-reported by the individual through an online, interactive health history tool | — | [ ,
17.1 % Male samples |
— | European | — | CG | Samples are individuals whose healthcare provider had ordered a Color Genomics multi-gene panel test |
| PSS000227 | — | — | [
|
— | Asian unspecified | — | MESA, VIRGO | Cases are from VIRGO, controls are from MESA |
| PSS000228 | — | — | [
|
— | African American or Afro-Caribbean | — | MESA, VIRGO | Cases are from VIRGO, controls are from MESA |
| PSS000229 | — | — | [
|
— | Hispanic or Latin American | — | MESA, VIRGO | Cases are from VIRGO, controls are from MESA |
| PSS000230 | — | — | [
|
— | 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 | [ ,
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 | [ ,
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 | [ ,
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 | [ ,
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 | [ ,
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 | [ ,
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 | [ ,
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 | [ ,
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 | [ ,
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 | [ ,
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 | [ ,
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 | [ ,
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 |
[ ,
31.0 % Male samples |
Mean = 43.6 years Sd = 12.5 years |
African American or Afro-Caribbean | — | 7 cohorts
|
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 |
[ ,
31.0 % Male samples |
Mean = 43.6 years Sd = 12.5 years |
African American or Afro-Caribbean | — | 7 cohorts
|
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 |
[ ,
44.6 % Male samples |
Mean = 49.0 years Sd = 14.1 years |
European | — | 11 cohorts
|
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 |
[ ,
44.6 % Male samples |
Mean = 49.0 years Sd = 14.1 years |
European | — | 11 cohorts
|
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 |
[ ,
36.2 % Male samples |
Mean = 41.1 years Sd = 13.2 years |
Hispanic or Latin American | — | 8 cohorts
|
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 |
[ ,
36.2 % Male samples |
Mean = 41.1 years Sd = 13.2 years |
Hispanic or Latin American | — | 8 cohorts
|
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 | [ ,
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 | — |
| 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. | — | [
|
— | African unspecified | — | BioMe, MESA, PHB, UKB, VIRGO | — |
| PSS000899 | Coronary artery disease was defined as myocardial infarction and/or history of coronary revascularization. | — | [
|
— | East Asian | — | TaiChi, UKB | — |
| PSS000900 | Coronary artery disease was defined as myocardial infarction and/or history of coronary revascularization. | — | [
|
— | European | — | BioMe, MESA, PHB, UKB, VIRGO | — |
| PSS000901 | Coronary artery disease was defined as myocardial infarction and/or history of coronary revascularization. | — | [
|
— | Hispanic or Latin American | — | BioMe, MESA, PHB, VIRGO | — |
| PSS000902 | Coronary artery disease was defined as myocardial infarction and/or history of coronary revascularization. | — | [
|
— | 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 |
[ ,
47.5 % Male samples |
Mean = 58.9 years Sd = 7.6 years |
European | — | HNR | — |
| PSS000505 | — | — | [
|
— | 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. | — | [ ,
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. | — | [
|
— | European | — | HNR | — |
| PSS000508 | — | — | [
|
— | European | — | HNR | — |
| 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. | — | [
|
— | European | — | HNR | — |
| 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. | — | [ ,
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. | — | [ ,
100.0 % Male samples |
— | European | — | HNR | — |
| PSS008413 | — | — | 1,158 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| 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 |
| 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) | — | [ ,
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) | — | [ ,
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) | — | [ ,
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) | — | [ ,
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 | [ ,
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 | [
|
— | 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 |
| PSS000094 | Incident CHD was defined as myocardial infarction (MI), resuscitated cardiac arrest, definite or probable angina if followed by a revascularization and CHD death | — | [
|
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 | — | [
|
Mean = 62.7 years | European | Analysis restricted to "White participants" | MESA | — |
| PSS007975 | — | — | 1,794 individuals | — | East Asian | China (East Asia) | UKB | — |
| 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 |
[ ,
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 |
[ ,
53.06 % Male samples |
— | European | — | KORA | — |
| 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 | — | [
|
— | 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 | — | [
|
— | 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) | — | [
|
— | European | — | UKB | — |
| PSS000365 | Case-control study of first-onset acute myocardial infarction | — | [ ,
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. | — | [ ,
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. | — | [ ,
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). | — | [ ,
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 | — |
| 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 | [ ,
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 | — | — | [
|
— | East Asian (Japanese) |
— | BBJ | — |
| PSS009517 | — | — | [
|
— | European (Estonian) |
— | EB | — |
| PSS003605 | — | — | [
|
Mean = 56.81 years | European | — | UKB | — |
| PSS009521 | — | — | [
|
— | European (Finnish) |
— | FinnGen | — |
| PSS009525 | — | — | [
|
— | European | Norwegian | HUNT | — |
| PSS009529 | — | — | [
|
— | African American or Afro-Caribbean | — | MGBB | — |
| PSS009533 | — | — | [
|
— | European | — | MGBB | — |
| PSS009537 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS009541 | — | — | [
|
— | European | British | UKB | — |
| PSS009545 | — | — | [
|
— | 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 |
[
|
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. | — | [ ,
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. | — | [ ,
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 |
[
|
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 |
[
|
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 |
[
|
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 |
[ ,
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 |
[ ,
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 |
[ ,
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 |
[ ,
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 |
[ ,
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 |
[ ,
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 |
[ ,
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 | [ ,
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 | [ ,
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 | [ ,
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 |
[ ,
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. | — | [ ,
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. | — | [ ,
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. | — | [ ,
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. | — | [ ,
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 | — |