| Experimental Factor Ontology (EFO) Information | |
| Identifier | EFO_0001645 |
| Description | Narrowing of the coronary arteries due to fatty deposits inside the arterial walls. The diagnostic criteria may include documented history of any of the following: documented coronary artery stenosis greater than or equal to 50% (by cardiac catheterization or other modality of direct imaging of the coronary arteries); previous coronary artery bypass surgery (CABG); previous percutaneous coronary intervention (PCI); previous myocardial infarction. (ACC) [NCIT: C26732] | Trait category |
Cardiovascular disease
|
| Synonyms |
39 synonyms
|
| Mapped terms |
24 mapped terms
|
| Child trait(s) | 3 child traits |
| Polygenic Score ID & Name | PGS Publication ID (PGP) | Reported Trait | Mapped Trait(s) (Ontology) | Number of Variants |
Ancestry distribution GWAS Dev Eval |
Scoring File (FTP Link) |
|---|---|---|---|---|---|---|
| PGS000010 (GRS27) |
PGP000003 | Mega JL et al. Lancet (2015) |
Coronary heart disease | coronary artery disease | 27 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000010/ScoringFiles/PGS000010.txt.gz |
| PGS000011 (GRS50) |
PGP000004 | Tada H et al. Eur Heart J (2015) |
Coronary artery disease | coronary artery disease | 50 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000011/ScoringFiles/PGS000011.txt.gz |
| PGS000012 (GRS49K) |
PGP000005 | Abraham G et al. Eur Heart J (2016) |
Coronary artery disease | coronary artery disease | 49,310 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000012/ScoringFiles/PGS000012.txt.gz | |
| PGS000013 (GPS_CAD) |
PGP000006 | Khera AV et al. Nat Genet (2018) |
Coronary artery disease | coronary artery disease | 6,630,150 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000013/ScoringFiles/PGS000013.txt.gz | |
| 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 | |
| PGS002775 (GTG_CAD_maxCT) |
PGP000365 | Wong CK et al. PLoS One (2022) |
Incident coronary artery disease | coronary artery disease | 1,059 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002775/ScoringFiles/PGS002775.txt.gz | |
| PGS002776 (GTG_CAD_SCT) |
PGP000365 | Wong CK et al. PLoS One (2022) |
Incident coronary artery disease | coronary artery disease | 390,782 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002776/ScoringFiles/PGS002776.txt.gz | |
| PGS002809 (GRS_CAD) |
PGP000388 | Ahmed R et al. Int J Cardiol Heart Vasc (2022) |
Coronary artery disease | coronary artery disease | 205 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002809/ScoringFiles/PGS002809.txt.gz |
| PGS003355 (1MH_CAD_PRS_2015_Ldpred) |
PGP000409 | Aragam KG et al. Nat Genet (2022) |
Coronary artery disease | coronary artery disease | 1,532,758 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003355/ScoringFiles/PGS003355.txt.gz |
| PGS003356 (1MH_CAD_PRS_2022_Ldpred) |
PGP000409 | Aragam KG et al. Nat Genet (2022) |
Coronary artery disease | coronary artery disease | 2,324,683 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003356/ScoringFiles/PGS003356.txt.gz |
| PGS003438 (PRS241_CAD) |
PGP000440 | Marston NA et al. JAMA Cardiol (2023) |
Coronary artery disease | coronary artery disease | 241 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003438/ScoringFiles/PGS003438.txt.gz |
| PGS003446 (TEM_CAD_PRS) |
PGP000446 | Tcheandjieu C et al. Nat Med (2022) |
Coronary artery disease | coronary artery disease | 538,084 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003446/ScoringFiles/PGS003446.txt.gz |
| PGS003725 (GPS_Mult) |
PGP000466 | Patel AP et al. Nat Med (2023) |
Coronary artery disease | coronary artery disease | 1,296,172 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003725/ScoringFiles/PGS003725.txt.gz | |
| PGS003726 (GPS_CADANC) |
PGP000466 | Patel AP et al. Nat Med (2023) |
Coronary artery disease | coronary artery disease | 1,296,172 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003726/ScoringFiles/PGS003726.txt.gz | |
| PGS003727 (GPS_CADEUR) |
PGP000466 | Patel AP et al. Nat Med (2023) |
Coronary artery disease | coronary artery disease | 1,125,113 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003727/ScoringFiles/PGS003727.txt.gz | |
| PGS003866 (CAD_lassosum2_ARB) |
PGP000501 | Shim I et al. Nature Communications (2023) |
Coronary artery disease | coronary artery disease | 10,440 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003866/ScoringFiles/PGS003866.txt.gz |
| PGS004196 (cad_1) |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Coronary artery disease | coronary artery disease | 3,892 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004196/ScoringFiles/PGS004196.txt.gz |
| PGS004197 (cad_2) |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Coronary artery disease | coronary artery disease | 11,490 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004197/ScoringFiles/PGS004197.txt.gz |
| PGS004198 (cad_3) |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Coronary artery disease | coronary artery disease | 5,723 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004198/ScoringFiles/PGS004198.txt.gz |
| PGS004199 (cad_4) |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Coronary artery disease | coronary artery disease | 6,085 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004199/ScoringFiles/PGS004199.txt.gz |
| PGS004200 (cad_5) |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Coronary artery disease | coronary artery disease | 8,361 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004200/ScoringFiles/PGS004200.txt.gz |
| PGS004237 (CAD_PRS_LDpred_UKB_Pub1) |
PGP000532 | Manikpurage HD et al. Circ Genom Precis Med (2021) |
Coronary Artery Disease | coronary artery disease | 1,146,511 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004237/ScoringFiles/PGS004237.txt.gz | |
| PGS004305 (GenoBoost_coronary_artery_disease_0) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Coronary artery disease | coronary artery disease | 3,000 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004305/ScoringFiles/PGS004305.txt.gz |
| PGS004306 (GenoBoost_coronary_artery_disease_1) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Coronary artery disease | coronary artery disease | 4,000 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004306/ScoringFiles/PGS004306.txt.gz |
| PGS004307 (GenoBoost_coronary_artery_disease_2) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Coronary artery disease | coronary artery disease | 4,000 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004307/ScoringFiles/PGS004307.txt.gz |
| PGS004308 (GenoBoost_coronary_artery_disease_3) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Coronary artery disease | coronary artery disease | 1,500 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004308/ScoringFiles/PGS004308.txt.gz |
| PGS004309 (GenoBoost_coronary_artery_disease_4) |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Coronary artery disease | coronary artery disease | 3,000 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004309/ScoringFiles/PGS004309.txt.gz |
| PGS004321 (PRS27_CAD) |
PGP000554 | Marston NA et al. Circulation (2019) |
Coronary heart disease | coronary artery disease | 27 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004321/ScoringFiles/PGS004321.txt.gz |
| PGS004443 (disease.CAD.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Coronary artery disease (CAD) | coronary artery disease | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004443/ScoringFiles/PGS004443.txt.gz |
| PGS004444 (disease.CVD.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Coronary vascular disease (CVD) | coronary artery disease | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004444/ScoringFiles/PGS004444.txt.gz |
| PGS004513 (meta.CAD.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Coronary artery disease (CAD) | coronary artery disease | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004513/ScoringFiles/PGS004513.txt.gz |
| PGS004514 (meta.CVD.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Coronary vascular disease (CVD) | coronary artery disease | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004514/ScoringFiles/PGS004514.txt.gz |
| PGS004595 (PRS_CHD) |
PGP000575 | Oni-Orisan A et al. Clin Pharmacol Ther (2022) |
Coronary heart disease | coronary artery disease | 164 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004595/ScoringFiles/PGS004595.txt.gz |
| PGS004596 (PRS64_CHD) |
PGP000576 | Peng H et al. Nutrients (2023) |
Coronary heart disease | coronary artery disease | 64 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004596/ScoringFiles/PGS004596.txt.gz |
| PGS004696 (multi_anc_hg37CSx) |
PGP000602 | Smith JL et al. Circ Genom Precis Med (2024) |
Coronary heart disease | coronary artery disease | 1,289,980 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004696/ScoringFiles/PGS004696.txt.gz | |
| PGS004697 (eur_anc_hg37CSx) |
PGP000602 | Smith JL et al. Circ Genom Precis Med (2024) |
Coronary heart disease | coronary artery disease | 1,120,251 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004697/ScoringFiles/PGS004697.txt.gz | |
| PGS004698 (multi_anc_hg37PT) |
PGP000602 | Smith JL et al. Circ Genom Precis Med (2024) |
Coronary heart disease | coronary artery disease | 542,218 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004698/ScoringFiles/PGS004698.txt.gz | |
| PGS004743 (cad_PRSmix_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Coronary artery disease | coronary artery disease | 3,606,321 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004743/ScoringFiles/PGS004743.txt.gz |
| PGS004744 (cad_PRSmix_sas) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Coronary artery disease | coronary artery disease | 7,082,943 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004744/ScoringFiles/PGS004744.txt.gz |
| PGS004745 (cad_PRSmixPlus_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Coronary artery disease | coronary artery disease | 4,769,577 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004745/ScoringFiles/PGS004745.txt.gz |
| PGS004746 (cad_PRSmixPlus_sas) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Coronary artery disease | coronary artery disease | 6,483,064 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004746/ScoringFiles/PGS004746.txt.gz |
| PGS004879 (INTERVENE_MegaPRS_CHD) |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Coronary heart disease | coronary artery disease | 610,677 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004879/ScoringFiles/PGS004879.txt.gz | |
| PGS004888 (CAD_gePGS) |
PGP000619 | Mandla R et al. Genome Med (2024) |
Coronary artery diseae | coronary artery disease | 1,110,046 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004888/ScoringFiles/PGS004888.txt.gz | |
| PGS004899 (PRS_SCAD) |
PGP000629 | Saw J et al. Nat Commun (2020) |
Spontaneous coronary artery dissection | spontaneous coronary artery dissection | 7 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004899/ScoringFiles/PGS004899.txt.gz |
| PGS004919 (CAD_GRS_50) |
PGP000650 | Sjögren M et al. Int J Cardiol Heart Vasc (2019) |
Coronary artery disease | coronary artery disease | 50 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004919/ScoringFiles/PGS004919.txt.gz |
| PGS004921 (CAD-GRS) |
PGP000654 | Huang Y et al. Circ Genom Precis Med (2020) |
Coronary artery disease | coronary artery disease | 161 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004921/ScoringFiles/PGS004921.txt.gz | |
| PGS004925 (PRS300_CHD) |
PGP000660 | Kim Y et al. J Intern Med (2023) |
Coronary heart disease | coronary artery disease | 300 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004925/ScoringFiles/PGS004925.txt.gz |
| PGS004941 (CAD_MetaPRS) |
PGP000668 | China Kadoorie Biobank Collaborative Group. et al. Nat Hum Behav (2024) |
Coronary artery disease | coronary artery disease | 3,711,629 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004941/ScoringFiles/PGS004941.txt.gz |
| PGS005091 (PGS_LDP2Auto) |
PGP000684 | Abramowitz SA et al. JAMA (2024) |
Coronary artery disease | coronary artery disease | 1,428,772 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005091/ScoringFiles/PGS005091.txt.gz |
| PGS005092 (PGS_prscsx) |
PGP000684 | Abramowitz SA et al. JAMA (2024) |
Coronary artery disease | coronary artery disease | 1,279,502 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005092/ScoringFiles/PGS005092.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 |
| 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 |
| 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) | — |
| 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 |
| 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) |
| 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) |
| 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 | — |
| PPM001011 | PGS000013 (GPS_CAD) |
PSS000515| African Ancestry| 6,979 individuals |
PGP000116 | Aragam KG et al. J Am Coll Cardiol (2020) |Ext. |
Reported Trait: Prevalent Coronary Artery Disease | — | AUROC: 0.58 | — | PCs (1-10) of ancestry | — |
| PPM001010 | PGS000013 (GPS_CAD) |
PSS000517| Hispanic or Latin American Ancestry| 7,048 individuals |
PGP000116 | Aragam KG et al. J Am Coll Cardiol (2020) |Ext. |
Reported Trait: Prevalent Coronary Artery Disease | — | AUROC: 0.63 | — | PCs (1-10) of ancestry | — |
| PPM001009 | PGS000013 (GPS_CAD) |
PSS000516| European Ancestry| 10,344 individuals |
PGP000116 | Aragam KG et al. J Am Coll Cardiol (2020) |Ext. |
Reported Trait: Prevalent Coronary Artery Disease | — | AUROC: 0.53 | — | PCs (1-10) of ancestry | — |
| PPM001008 | PGS000013 (GPS_CAD) |
PSS000515| African Ancestry| 6,979 individuals |
PGP000116 | Aragam KG et al. J Am Coll Cardiol (2020) |Ext. |
Reported Trait: Prevalent Coronary Artery Disease | OR: 1.29 [1.23, 1.34] | — | — | age, sex, PCs (1-10) of ancestry | — |
| PPM001007 | PGS000013 (GPS_CAD) |
PSS000517| Hispanic or Latin American Ancestry| 7,048 individuals |
PGP000116 | Aragam KG et al. J Am Coll Cardiol (2020) |Ext. |
Reported Trait: Prevalent Coronary Artery Disease | OR: 1.5 [1.44, 1.57] | — | — | age, sex, PCs (1-10) of ancestry | — |
| PPM001006 | PGS000013 (GPS_CAD) |
PSS000516| European Ancestry| 10,344 individuals |
PGP000116 | Aragam KG et al. J Am Coll Cardiol (2020) |Ext. |
Reported Trait: Prevalent Coronary Artery Disease | OR: 1.52 [1.46, 1.58] | — | — | age, sex, PCs (1-10) of ancestry | — |
| PPM001005 | PGS000013 (GPS_CAD) |
PSS000514| Multi-ancestry (including European)| 24,371 individuals |
PGP000116 | Aragam KG et al. J Am Coll Cardiol (2020) |Ext. |
Reported Trait: Prevalent Coronary Artery Disease | — | AUROC: 0.61 | — | PCs (1-10) of ancestry | — |
| PPM001004 | PGS000013 (GPS_CAD) |
PSS000519| Multi-ancestry (including European)| 9,070 individuals |
PGP000116 | Aragam KG et al. J Am Coll Cardiol (2020) |Ext. |
Reported Trait: Prevalent Coronary Artery Disease | — | AUROC: 0.6 | — | PCs (1-10) of ancestry | — |
| PPM001003 | PGS000013 (GPS_CAD) |
PSS000518| Multi-ancestry (including European)| 13,667 individuals |
PGP000116 | Aragam KG et al. J Am Coll Cardiol (2020) |Ext. |
Reported Trait: Prevalent Coronary Artery Disease | — | AUROC: 0.59 | — | PCs (1-10) of ancestry | — |
| PPM001002 | PGS000013 (GPS_CAD) |
PSS000514| Multi-ancestry (including European)| 24,371 individuals |
PGP000116 | Aragam KG et al. J Am Coll Cardiol (2020) |Ext. |
Reported Trait: Prevalent Coronary Artery Disease | OR: 1.42 [1.35, 1.48] | — | — | age, sex, PCs (1-10) of ancestry | — |
| PPM001001 | PGS000013 (GPS_CAD) |
PSS000519| Multi-ancestry (including European)| 9,070 individuals |
PGP000116 | Aragam KG et al. J Am Coll Cardiol (2020) |Ext. |
Reported Trait: Prevalent Coronary Artery Disease | OR: 1.45 [1.38, 1.52] | — | — | age, sex, PCs (1-10) of ancestry, genotyping array | — |
| PPM000383 | PGS000013 (GPS_CAD) |
PSS000219| European Ancestry| 11,010 individuals |
PGP000057 | Homburger JR et al. Genome Med (2019) |Ext. |
Reported Trait: Coronary artery disease (personal history) | OR: 1.589 [1.32, 1.92] | AUROC: 0.86 | — | age, sex | — |
| PPM001000 | PGS000013 (GPS_CAD) |
PSS000518| Multi-ancestry (including European)| 13,667 individuals |
PGP000116 | Aragam KG et al. J Am Coll Cardiol (2020) |Ext. |
Reported Trait: Prevalent Coronary Artery Disease | OR: 1.41 [1.34, 1.47] | — | — | age, sex, PCs (1-10) of ancestry, genotyping array | — |
| 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 |
| 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 | — |
| 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 | — |
| 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 |
| 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 |
| 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 | — |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 | — |
| 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 |
| 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 |
| 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 | — |
| 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] | — | — |
| 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] | — | — |
| 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] | — | — |
| 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] | — | — |
| 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 | — |
| 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 | — |
| 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 | — |
| 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 | — |
| 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 | — |
| 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) | — |
| 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 | — |
| 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 |
| 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 | — |
| 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 | — |
| PPM000518 | PGS000018 (metaGRS_CAD) |
PSS000287| European Ancestry| 1,319 individuals |
PGP000077 | Timmerman N et al. Atherosclerosis (2020) |Ext. |
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. Atherosclerosis (2020) |Ext. |
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. Atherosclerosis (2020) |Ext. |
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. Atherosclerosis (2020) |Ext. |
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. Atherosclerosis (2020) |Ext. |
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. Atherosclerosis (2020) |Ext. |
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. Atherosclerosis (2020) |Ext. |
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. Atherosclerosis (2020) |Ext. |
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. Atherosclerosis (2020) |Ext. |
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. Atherosclerosis (2020) |Ext. |
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. Atherosclerosis (2020) |Ext. |
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. Atherosclerosis (2020) |Ext. |
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. Atherosclerosis (2020) |Ext. |
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. Atherosclerosis (2020) |Ext. |
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. Atherosclerosis (2020) |Ext. |
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. Atherosclerosis (2020) |Ext. |
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. Atherosclerosis (2020) |Ext. |
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. Atherosclerosis (2020) |Ext. |
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. Atherosclerosis (2020) |Ext. |
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. Atherosclerosis (2020) |Ext. |
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. Atherosclerosis (2020) |Ext. |
Reported Trait: Secondary cardiovascular events | HR: 1.15 [1.02, 1.29] | — | — | Age, sex, diabetes, BMI, smoking, hypercholesterolemia, array, 4 genetics PCs | — |
| 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] | — | — | — | — |
| 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 | — | — | — |
| 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] |
— | — |
| 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] | — | — |
| 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 | — |
| 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 | — |
| 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 | — |
| 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 |
| 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 | — |
| 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). | — |
| 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 | — |
| 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 | — |
| 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 | — |
| 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 | — |
| 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 | — |
| 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 | — |
| 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 | — |
| 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 | — |
| 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 | — |
| 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 | — |
| 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) | — |
| 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 | — |
| 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 | — |
| 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 | — |
| 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) | — |
| 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 | — |
| 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 | — |
| 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 | — |
| 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 | — |
| 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 | — |
| 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] | — | — | — |
| 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 |
| 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] | — | — |
| 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] | — | — |
| 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] | — | — |
| 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] | — | — |
| 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] | — | — |
| 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 |
| 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 | — |
| 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) | — |
| 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 |
| 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. | — |
| 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. |
| 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 | — |
| 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) | — |
| 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 | — |
| PPM015480 | PGS000018 (metaGRS_CAD) |
PSS009958| European Ancestry| 21,863 individuals |
PGP000372 | Clarke SL et al. Commun Med (Lond) (2022) |Ext. |
Reported Trait: Uterine cancer death | HR: 0.68 [0.46, 1.0] | — | — | — | — |
| 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 |
| PPM015451 | PGS000018 (metaGRS_CAD) |
PSS009958| European Ancestry| 21,863 individuals |
PGP000372 | Clarke SL et al. Commun Med (Lond) (2022) |Ext. |
Reported Trait: Self-reported hypertension | OR: 1.2 [1.16, 1.24] | — | — | — | — |
| 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 | — |
| 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 | — |
| 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 | — |
| 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) | — |
| 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 | — |
| PPM009286 | PGS001780 (CHD_PRSCS) |
PSS007689| European Ancestry| 343,672 individuals |
PGP000261 | Tamlander M et al. Commun Biol (2022) |
Reported Trait: Prevalent coronary heart disease | OR: 1.77 [1.73, 1.8] | AUROC: 0.811 [0.808, 0.815] | — | year of birth, sex | — |
| PPM009276 | PGS001780 (CHD_PRSCS) |
PSS007681| European Ancestry| 309,154 individuals |
PGP000261 | Tamlander M et al. Commun Biol (2022) |
Reported Trait: Coronary heart disease (incident and prevalent) | OR: 1.56 [1.53, 1.58] | AUROC: 0.871 [0.869, 0.873] | — | year of birth, sex, ten first principal components of Finnish ancestry, batch, genotyping array | — |
| 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 | — |
| PPM009278 | PGS001780 (CHD_PRSCS) |
PSS007687| European Ancestry| 343,672 individuals |
PGP000261 | Tamlander M et al. Commun Biol (2022) |
Reported Trait: Coronary heart disease (incident and prevalent) | OR: 1.72 [1.7, 1.75] | AUROC: 0.792 [0.789, 0.795] | — | year of birth, sex | — |
| PPM009282 | PGS001780 (CHD_PRSCS) |
PSS007688| European Ancestry| 332,370 individuals |
PGP000261 | Tamlander M et al. Commun Biol (2022) |
Reported Trait: Incident coronary heart disease | OR: 1.61 [1.57, 1.65] | AUROC: 0.756 [0.751, 0.761] | — | year of birth, sex | — |
| PPM009284 | PGS001780 (CHD_PRSCS) |
PSS007683| European Ancestry| 309,154 individuals |
PGP000261 | Tamlander M et al. Commun Biol (2022) |
Reported Trait: Prevalent coronary heart disease | OR: 1.59 [1.57, 1.62] | AUROC: 0.869 [0.867, 0.871] | — | year of birth, sex, ten first principal components of Finnish ancestry, batch, genotyping array | — |
| PPM009280 | PGS001780 (CHD_PRSCS) |
PSS007682| European Ancestry| 291,720 individuals |
PGP000261 | Tamlander M et al. Commun Biol (2022) |
Reported Trait: Incident coronary heart disease | OR: 1.44 [1.41, 1.47] | AUROC: 0.913 [0.911, 0.916] | — | year of birth, sex, ten first principal components of Finnish ancestry, batch, genotyping array | — |
| 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 | — |
| 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) | — |
| PPM015478 | PGS000018 (metaGRS_CAD) |
PSS009958| European Ancestry| 21,863 individuals |
PGP000372 | Clarke SL et al. Commun Med (Lond) (2022) |Ext. |
Reported Trait: Brain cancer death | HR: 0.71 [0.52, 0.97] | — | — | — | — |
| 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 |
| PPM015479 | PGS000018 (metaGRS_CAD) |
PSS009958| European Ancestry| 21,863 individuals |
PGP000372 | Clarke SL et al. Commun Med (Lond) (2022) |Ext. |
Reported Trait: Pneumonia death | HR: 1.14 [1.0, 1.3] | — | — | — | — |
| PPM017150 | PGS003438 (PRS241_CAD) |
PSS010137| European Ancestry| 330,201 individuals |
PGP000440 | Marston NA et al. JAMA Cardiol (2023) |
Reported Trait: Myocardial infarction | HR: 1.07 [1.06, 1.08] | — | — | — | — |
| PPM017151 | PGS003438 (PRS241_CAD) |
PSS010137| European Ancestry| 330,201 individuals |
PGP000440 | Marston NA et al. JAMA Cardiol (2023) |
Reported Trait: Myocardial infarction in >60 years | HR: 1.42 [1.37, 1.48] | — | — | — | — |
| PPM017152 | PGS003438 (PRS241_CAD) |
PSS010137| European Ancestry| 330,201 individuals |
PGP000440 | Marston NA et al. JAMA Cardiol (2023) |
Reported Trait: Myocardial infarction in aged 50-60 years | HR: 1.46 [1.38, 1.53] | — | — | — | — |
| PPM017153 | PGS003438 (PRS241_CAD) |
PSS010137| European Ancestry| 330,201 individuals |
PGP000440 | Marston NA et al. JAMA Cardiol (2023) |
Reported Trait: Myocardial infarction in < 50 years | HR: 1.72 [1.56, 1.89] | — | — | — | — |
| PPM017154 | PGS003438 (PRS241_CAD) |
PSS010137| European Ancestry| 330,201 individuals |
PGP000440 | Marston NA et al. JAMA Cardiol (2023) |
Reported Trait: Atherosclerotic Cardiovascular Disease (ASCVD) events | — | C-index: 0.74 [0.73, 0.74] | — | — | — |
| PPM017155 | PGS003438 (PRS241_CAD) |
PSS010137| European Ancestry| 330,201 individuals |
PGP000440 | Marston NA et al. JAMA Cardiol (2023) |
Reported Trait: Atherosclerotic Cardiovascular Disease (ASCVD) events in >60 years | — | C-index: 0.68 [0.67, 0.69] | — | — | — |
| PPM017156 | PGS003438 (PRS241_CAD) |
PSS010137| European Ancestry| 330,201 individuals |
PGP000440 | Marston NA et al. JAMA Cardiol (2023) |
Reported Trait: Atherosclerotic Cardiovascular Disease (ASCVD) events in aged 50-60 years | — | C-index: 0.71 [0.7, 0.73] | — | — | — |
| PPM017157 | PGS003438 (PRS241_CAD) |
PSS010137| European Ancestry| 330,201 individuals |
PGP000440 | Marston NA et al. JAMA Cardiol (2023) |
Reported Trait: Atherosclerotic Cardiovascular Disease (ASCVD) events in < 50 years | — | C-index: 0.76 [0.73, 0.78] | — | — | — |
| PPM017186 | PGS003446 (TEM_CAD_PRS) |
PSS010158| African Ancestry| 17,072 individuals |
PGP000446 | Tcheandjieu C et al. Nat Med (2022) |
Reported Trait: Coronary artery disease | OR: 1.21 [1.15, 1.28] | — | — | — | — |
| PPM017187 | PGS003446 (TEM_CAD_PRS) |
PSS010159| Hispanic or Latin American Ancestry| 6,314 individuals |
PGP000446 | Tcheandjieu C et al. Nat Med (2022) |
Reported Trait: Coronary artery disease | OR: 1.43 [1.27, 1.61] | — | — | — | — |
| PPM017189 | PGS000013 (GPS_CAD) |
PSS010161| Hispanic or Latin American Ancestry| 30,648 individuals |
PGP000446 | Tcheandjieu C et al. Nat Med (2022) |Ext. |
Reported Trait: Acute myocardial infarction or revascularization | OR: 1.52 [1.45, 1.59] | — | — | age, sex, genotyping batch and top 10 genotype-based PCs | — |
| PPM017190 | PGS000013 (GPS_CAD) |
PSS010160| African Ancestry| 76,709 individuals |
PGP000446 | Tcheandjieu C et al. Nat Med (2022) |Ext. |
Reported Trait: Acute myocardial infarction or revascularization | OR: 1.17 [1.14, 1.21] | — | — | age, sex, genotyping batch and top 10 genotype-based PCs | — |
| PPM017191 | PGS000013 (GPS_CAD) |
PSS010162| European Ancestry| 292,438 individuals |
PGP000446 | Tcheandjieu C et al. Nat Med (2022) |Ext. |
Reported Trait: Coronary artery disease | OR: 1.36 [1.35, 1.37] | — | — | age, sex, genotyping batch and top 10 genotype-based PCs | — |
| PPM017192 | PGS000013 (GPS_CAD) |
PSS010161| Hispanic or Latin American Ancestry| 30,648 individuals |
PGP000446 | Tcheandjieu C et al. Nat Med (2022) |Ext. |
Reported Trait: Coronary artery disease | OR: 1.32 [1.28, 1.36] | — | — | age, sex, genotyping batch and top 10 genotype-based PCs | — |
| PPM017193 | PGS000013 (GPS_CAD) |
PSS010160| African Ancestry| 76,709 individuals |
PGP000446 | Tcheandjieu C et al. Nat Med (2022) |Ext. |
Reported Trait: Coronary artery disease | OR: 1.1 [1.08, 1.12] | — | — | age, sex, genotyping batch and top 10 genotype-based PCs | — |
| PPM017194 | PGS000013 (GPS_CAD) |
PSS010162| European Ancestry| 292,438 individuals |
PGP000446 | Tcheandjieu C et al. Nat Med (2022) |Ext. |
Reported Trait: Acute myocardial infarction or revascularization in incident coronary artery disease | OR: 1.46 [1.43, 1.49] | — | — | age, sex, genotyping batch and top 10 genotype-based PCs | — |
| PPM017196 | PGS000013 (GPS_CAD) |
PSS010160| African Ancestry| 76,709 individuals |
PGP000446 | Tcheandjieu C et al. Nat Med (2022) |Ext. |
Reported Trait: Acute myocardial infarction or revascularization in incident coronary artery disease | OR: 1.15 [1.1, 1.2] | — | — | age, sex, genotyping batch and top 10 genotype-based PCs | — |
| PPM017197 | PGS000013 (GPS_CAD) |
PSS010162| European Ancestry| 292,438 individuals |
PGP000446 | Tcheandjieu C et al. Nat Med (2022) |Ext. |
Reported Trait: Incident coronary artery disease | OR: 1.26 [1.24, 1.28] | — | — | age, sex, genotyping batch and top 10 genotype-based PCs | — |
| PPM017198 | PGS000013 (GPS_CAD) |
PSS010161| Hispanic or Latin American Ancestry| 30,648 individuals |
PGP000446 | Tcheandjieu C et al. Nat Med (2022) |Ext. |
Reported Trait: Incident coronary artery disease | OR: 1.22 [1.15, 1.29] | — | — | age, sex, genotyping batch and top 10 genotype-based PCs | — |
| PPM017199 | PGS000013 (GPS_CAD) |
PSS010160| African Ancestry| 76,709 individuals |
PGP000446 | Tcheandjieu C et al. Nat Med (2022) |Ext. |
Reported Trait: Incident coronary artery disease | OR: 1.1 [1.07, 1.14] | — | — | age, sex, genotyping batch and top 10 genotype-based PCs | — |
| PPM017200 | PGS000018 (metaGRS_CAD) |
PSS010162| European Ancestry| 292,438 individuals |
PGP000446 | Tcheandjieu C et al. Nat Med (2022) |Ext. |
Reported Trait: Acute myocardial infarction or revascularization | OR: 1.54 [1.52, 1.56] | — | — | age, sex, genotyping batch and top 10 genotype-based PCs | — |
| PPM017201 | PGS000018 (metaGRS_CAD) |
PSS010161| Hispanic or Latin American Ancestry| 30,648 individuals |
PGP000446 | Tcheandjieu C et al. Nat Med (2022) |Ext. |
Reported Trait: Acute myocardial infarction or revascularization | OR: 1.62 [1.54, 1.71] | — | — | age, sex, genotyping batch and top 10 genotype-based PCs | — |
| PPM017202 | PGS000018 (metaGRS_CAD) |
PSS010160| African Ancestry| 76,709 individuals |
PGP000446 | Tcheandjieu C et al. Nat Med (2022) |Ext. |
Reported Trait: Acute myocardial infarction or revascularization | OR: 1.2 [1.17, 1.2] | — | — | age, sex, genotyping batch and top 10 genotype-based PCs | — |
| PPM017203 | PGS000018 (metaGRS_CAD) |
PSS010162| European Ancestry| 292,438 individuals |
PGP000446 | Tcheandjieu C et al. Nat Med (2022) |Ext. |
Reported Trait: Coronary artery disease | OR: 1.38 [1.36, 1.39] | — | — | age, sex, genotyping batch and top 10 genotype-based PCs | — |
| PPM017204 | PGS000018 (metaGRS_CAD) |
PSS010161| Hispanic or Latin American Ancestry| 30,648 individuals |
PGP000446 | Tcheandjieu C et al. Nat Med (2022) |Ext. |
Reported Trait: Coronary artery disease | OR: 1.39 [1.34, 1.43] | — | — | age, sex, genotyping batch and top 10 genotype-based PCs | — |
| PPM017205 | PGS000018 (metaGRS_CAD) |
PSS010160| African Ancestry| 76,709 individuals |
PGP000446 | Tcheandjieu C et al. Nat Med (2022) |Ext. |
Reported Trait: Coronary artery disease | OR: 1.12 [1.1, 1.14] | — | — | age, sex, genotyping batch and top 10 genotype-based PCs | — |
| PPM017206 | PGS000018 (metaGRS_CAD) |
PSS010162| European Ancestry| 292,438 individuals |
PGP000446 | Tcheandjieu C et al. Nat Med (2022) |Ext. |
Reported Trait: Acute myocardial infarction or revascularization in incident coronary artery disease | OR: 1.47 [1.44, 1.5] | — | — | age, sex, genotyping batch and top 10 genotype-based PCs | — |
| PPM017207 | PGS000018 (metaGRS_CAD) |
PSS010161| Hispanic or Latin American Ancestry| 30,648 individuals |
PGP000446 | Tcheandjieu C et al. Nat Med (2022) |Ext. |
Reported Trait: Acute myocardial infarction or revascularization in incident coronary artery disease | OR: 1.5 [1.38, 1.63] | — | — | age, sex, genotyping batch and top 10 genotype-based PCs | — |
| PPM017208 | PGS000018 (metaGRS_CAD) |
PSS010160| African Ancestry| 76,709 individuals |
PGP000446 | Tcheandjieu C et al. Nat Med (2022) |Ext. |
Reported Trait: Acute myocardial infarction or revascularization in incident coronary artery disease | OR: 1.17 [1.12, 1.22] | — | — | age, sex, genotyping batch and top 10 genotype-based PCs | — |
| PPM017209 | PGS000018 (metaGRS_CAD) |
PSS010162| European Ancestry| 292,438 individuals |
PGP000446 | Tcheandjieu C et al. Nat Med (2022) |Ext. |
Reported Trait: Incident coronary artery disease | OR: 1.27 [1.25, 1.29] | — | — | age, sex, genotyping batch and top 10 genotype-based PCs | — |
| PPM017210 | PGS000018 (metaGRS_CAD) |
PSS010161| Hispanic or Latin American Ancestry| 30,648 individuals |
PGP000446 | Tcheandjieu C et al. Nat Med (2022) |Ext. |
Reported Trait: Incident coronary artery disease | OR: 1.24 [1.17, 1.32] | — | — | age, sex, genotyping batch and top 10 genotype-based PCs | — |
| PPM017211 | PGS000018 (metaGRS_CAD) |
PSS010160| African Ancestry| 76,709 individuals |
PGP000446 | Tcheandjieu C et al. Nat Med (2022) |Ext. |
Reported Trait: Incident coronary artery disease | OR: 1.1 [1.07, 1.14] | — | — | age, sex, genotyping batch and top 10 genotype-based PCs | — |
| PPM014904 | PGS000013 (GPS_CAD) |
PSS009922| European Ancestry| 2,119 individuals |
PGP000353 | Sapkota Y et al. JACC CardioOncol (2022) |Ext. |
Reported Trait: Coronary artery disease in childhood cancer survivors | HR: 1.25 [1.04, 1.49] | — | — | — | — |
| PPM014905 | PGS000013 (GPS_CAD) |
PSS009922| European Ancestry| 2,119 individuals |
PGP000353 | Sapkota Y et al. JACC CardioOncol (2022) |Ext. |
Reported Trait: Coronary artery disease in childhood cancer survivors aged <10 years at diagnosis and treated with >25 Gy | — | AUROC: 0.714 | Hazard Ratio (HR, top vs. bottom tertile): 15.49 [5.24, 45.52] | — | — |
| PPM015476 | PGS000018 (metaGRS_CAD) |
PSS009958| European Ancestry| 21,863 individuals |
PGP000372 | Clarke SL et al. Commun Med (Lond) (2022) |Ext. |
Reported Trait: Cerebrovascular death | HR: 1.11 [1.03, 1.2] | — | — | — | — |
| PPM014975 | PGS002775 (GTG_CAD_maxCT) |
PSS009941| European Ancestry| 16,374 individuals |
PGP000365 | Wong CK et al. PLoS One (2022) |
Reported Trait: Incident coronary artery disease | OR: 1.29 [1.24, 1.35] | AUROC: 0.572 [0.56, 0.584] | — | — | — |
| PPM014976 | PGS002776 (GTG_CAD_SCT) |
PSS009941| European Ancestry| 16,374 individuals |
PGP000365 | Wong CK et al. PLoS One (2022) |
Reported Trait: Incident coronary artery disease | OR: 1.36 [1.31, 1.42] | AUROC: 0.587 [0.576, 0.599] | — | — | — |
| PPM015477 | PGS000018 (metaGRS_CAD) |
PSS009958| European Ancestry| 21,863 individuals |
PGP000372 | Clarke SL et al. Commun Med (Lond) (2022) |Ext. |
Reported Trait: Dementia death | HR: 1.11 [1.02, 1.21] | — | — | — | — |
| PPM015454 | PGS000018 (metaGRS_CAD) |
PSS009958| European Ancestry| 21,863 individuals |
PGP000372 | Clarke SL et al. Commun Med (Lond) (2022) |Ext. |
Reported Trait: Self-reported family history of myocardial infarction | OR: 1.16 [1.13, 1.2] | — | — | — | — |
| PPM015455 | PGS000018 (metaGRS_CAD) |
PSS009958| European Ancestry| 21,863 individuals |
PGP000372 | Clarke SL et al. Commun Med (Lond) (2022) |Ext. |
Reported Trait: Self-reported family history of stroke | OR: 1.07 [1.04, 1.11] | — | — | — | — |
| PPM015456 | PGS000018 (metaGRS_CAD) |
PSS009958| European Ancestry| 21,863 individuals |
PGP000372 | Clarke SL et al. Commun Med (Lond) (2022) |Ext. |
Reported Trait: Self-reported history of breast cancer | OR: 0.81 [0.69, 0.95] | — | — | — | — |
| PPM015457 | PGS000018 (metaGRS_CAD) |
PSS009958| European Ancestry| 21,863 individuals |
PGP000372 | Clarke SL et al. Commun Med (Lond) (2022) |Ext. |
Reported Trait: Self-reported history of non-melanoma skin cancer | OR: 0.93 [0.89, 0.98] | — | — | — | — |
| PPM015458 | PGS000018 (metaGRS_CAD) |
PSS009958| European Ancestry| 21,863 individuals |
PGP000372 | Clarke SL et al. Commun Med (Lond) (2022) |Ext. |
Reported Trait: Self-reported family history of colon cancer | OR: 0.95 [0.91, 0.99] | — | — | — | — |
| PPM015459 | PGS000018 (metaGRS_CAD) |
PSS009958| European Ancestry| 21,863 individuals |
PGP000372 | Clarke SL et al. Commun Med (Lond) (2022) |Ext. |
Reported Trait: Self-reported history of colonoscopy | OR: 0.96 [0.93, 0.99] | — | — | — | — |
| PPM015461 | PGS000018 (metaGRS_CAD) |
PSS009958| European Ancestry| 21,863 individuals |
PGP000372 | Clarke SL et al. Commun Med (Lond) (2022) |Ext. |
Reported Trait: Incident PTCA | OR: 1.53 [1.43, 1.63] | — | — | Smoking status, self-reported diabetes at baseline, systolic blood pressure, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol | — |
| PPM015462 | PGS000018 (metaGRS_CAD) |
PSS009958| European Ancestry| 21,863 individuals |
PGP000372 | Clarke SL et al. Commun Med (Lond) (2022) |Ext. |
Reported Trait: Incident myocardial infarction | OR: 1.41 [1.32, 1.5] | — | — | Smoking status, self-reported diabetes at baseline, systolic blood pressure, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol | — |
| PPM015463 | PGS000018 (metaGRS_CAD) |
PSS009958| European Ancestry| 21,863 individuals |
PGP000372 | Clarke SL et al. Commun Med (Lond) (2022) |Ext. |
Reported Trait: Incident coronary heart disease | OR: 1.31 [1.23, 1.38] | — | — | Smoking status, self-reported diabetes at baseline, systolic blood pressure, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol | — |
| PPM015464 | PGS000018 (metaGRS_CAD) |
PSS009958| European Ancestry| 21,863 individuals |
PGP000372 | Clarke SL et al. Commun Med (Lond) (2022) |Ext. |
Reported Trait: Incident CABG | OR: 1.53 [1.39, 1.7] | — | — | Smoking status, self-reported diabetes at baseline, systolic blood pressure, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol | — |
| PPM015465 | PGS000018 (metaGRS_CAD) |
PSS009958| European Ancestry| 21,863 individuals |
PGP000372 | Clarke SL et al. Commun Med (Lond) (2022) |Ext. |
Reported Trait: Incident all angina | OR: 1.38 [1.26, 1.51] | — | — | Smoking status, self-reported diabetes at baseline, systolic blood pressure, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol | — |
| PPM015466 | PGS000018 (metaGRS_CAD) |
PSS009958| European Ancestry| 21,863 individuals |
PGP000372 | Clarke SL et al. Commun Med (Lond) (2022) |Ext. |
Reported Trait: Incident ischemic stroke | OR: 1.11 [1.04, 1.19] | — | — | Smoking status, self-reported diabetes at baseline, systolic blood pressure, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol | — |
| PPM015467 | PGS000018 (metaGRS_CAD) |
PSS009958| European Ancestry| 21,863 individuals |
PGP000372 | Clarke SL et al. Commun Med (Lond) (2022) |Ext. |
Reported Trait: Incident all stroke | OR: 1.09 [1.03, 1.16] | — | — | Smoking status, self-reported diabetes at baseline, systolic blood pressure, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol | — |
| PPM015468 | PGS000018 (metaGRS_CAD) |
PSS009958| European Ancestry| 21,863 individuals |
PGP000372 | Clarke SL et al. Commun Med (Lond) (2022) |Ext. |
Reported Trait: Incident TIA | OR: 1.21 [1.04, 1.41] | — | — | Smoking status, self-reported diabetes at baseline, systolic blood pressure, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol | — |
| PPM015469 | PGS000018 (metaGRS_CAD) |
PSS009958| European Ancestry| 21,863 individuals |
PGP000372 | Clarke SL et al. Commun Med (Lond) (2022) |Ext. |
Reported Trait: Incident peripheral artery disease | OR: 1.16 [1.01, 1.32] | — | — | Smoking status, self-reported diabetes at baseline, systolic blood pressure, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol | — |
| PPM015470 | PGS000018 (metaGRS_CAD) |
PSS009958| European Ancestry| 21,863 individuals |
PGP000372 | Clarke SL et al. Commun Med (Lond) (2022) |Ext. |
Reported Trait: Incident carotid disease | OR: 1.14 [1.0, 1.3] | — | — | Smoking status, self-reported diabetes at baseline, systolic blood pressure, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol | — |
| PPM015471 | PGS000018 (metaGRS_CAD) |
PSS009958| European Ancestry| 21,863 individuals |
PGP000372 | Clarke SL et al. Commun Med (Lond) (2022) |Ext. |
Reported Trait: Incident any cancer | OR: 0.96 [0.93, 0.99] | — | — | Smoking status, alcohol consumption, weekly physical activity, dietary health measured by the alternative healthy eating index, and BMI | — |
| PPM015472 | PGS000018 (metaGRS_CAD) |
PSS009958| European Ancestry| 21,863 individuals |
PGP000372 | Clarke SL et al. Commun Med (Lond) (2022) |Ext. |
Reported Trait: Incident lung cancer | OR: 0.91 [0.83, 0.99] | — | — | Smoking status, alcohol consumption, weekly physical activity, dietary health measured by the alternative healthy eating index, and BMI | — |
| PPM015473 | PGS000018 (metaGRS_CAD) |
PSS009958| European Ancestry| 21,863 individuals |
PGP000372 | Clarke SL et al. Commun Med (Lond) (2022) |Ext. |
Reported Trait: Incident breast cancer | OR: 0.96 [0.92, 1.0] | — | — | Smoking status, alcohol consumption, weekly physical activity, dietary health measured by the alternative healthy eating index, and BMI | — |
| PPM015474 | PGS000018 (metaGRS_CAD) |
PSS009958| European Ancestry| 21,863 individuals |
PGP000372 | Clarke SL et al. Commun Med (Lond) (2022) |Ext. |
Reported Trait: Coronary heart disease death | HR: 1.29 [1.16, 1.43] | — | — | — | — |
| PPM015475 | PGS000018 (metaGRS_CAD) |
PSS009958| European Ancestry| 21,863 individuals |
PGP000372 | Clarke SL et al. Commun Med (Lond) (2022) |Ext. |
Reported Trait: Death of unknown cause | HR: 1.28 [1.07, 1.54] | — | — | — | — |
| PPM015452 | PGS000018 (metaGRS_CAD) |
PSS009958| European Ancestry| 21,863 individuals |
PGP000372 | Clarke SL et al. Commun Med (Lond) (2022) |Ext. |
Reported Trait: Self-reported hypercholesterolemia | OR: 1.17 [1.12, 1.23] | — | — | — | — |
| PPM015453 | PGS000018 (metaGRS_CAD) |
PSS009958| European Ancestry| 21,863 individuals |
PGP000372 | Clarke SL et al. Commun Med (Lond) (2022) |Ext. |
Reported Trait: Self-reported rheumatoid arthritis | OR: 1.11 [1.03, 1.19] | — | — | — | — |
| PPM015460 | PGS000018 (metaGRS_CAD) |
PSS009958| European Ancestry| 21,863 individuals |
PGP000372 | Clarke SL et al. Commun Med (Lond) (2022) |Ext. |
Reported Trait: Incident coronary revascularization | OR: 1.54 [1.45, 1.63] | — | — | Smoking status, self-reported diabetes at baseline, systolic blood pressure, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol | — |
| PPM015491 | PGS000013 (GPS_CAD) |
PSS009960| Ancestry Not Reported| 172,066 individuals |
PGP000374 | Zaccardi F et al. Nutr Metab Cardiovasc Dis (2022) |Ext. |
Reported Trait: 10-year risk of coronary artery disease for slow walkers | — | — | Hazard Ratio (HR, top 20% vs. bottom 80%): 9.6 [8.62, 10.57] | — | — |
| PPM015493 | PGS000013 (GPS_CAD) |
PSS009960| Ancestry Not Reported| 172,066 individuals |
PGP000374 | Zaccardi F et al. Nutr Metab Cardiovasc Dis (2022) |Ext. |
Reported Trait: Difference in 10-year risk of coronary artery disease between slow walkers and brisk walkers | — | — | Hazard Ratio (HR, top 20% vs. bottom 80%): 3.63 [2.58, 4.67] | — | — |
| PPM015502 | PGS000018 (metaGRS_CAD) |
PSS009965| European Ancestry| 836 individuals |
PGP000378 | Schoepf IC et al. Clin Infect Dis (2021) |Ext. |
Reported Trait: Coronary artery disease | — | — | Odds Ratio (OR, fifth vs. first quintile): 3.17 [1.74, 5.79] | Clinical risk factors | — |
| PPM015504 | PGS000018 (metaGRS_CAD) |
PSS009965| European Ancestry| 836 individuals |
PGP000378 | Schoepf IC et al. Clin Infect Dis (2021) |Ext. |
Reported Trait: Coronary artery disease | — | — | Odds Ratio (OR, fifth vs. first quintile): 3.67 [2.0, 6.73] | Clinical risk factors, PRS_longetivity | Combined as metaPRS |
| PPM015521 | PGS000013 (GPS_CAD) |
PSS009971| Multi-ancestry (including European)| 36,422 individuals |
PGP000381 | Hao L et al. Nat Med (2022) |Ext. |
Reported Trait: Coronary artery disease | OR: 1.86 [1.69, 2.05] | — | — | 4 genetic PCs | — |
| PPM015490 | PGS000013 (GPS_CAD) |
PSS009961| Ancestry Not Reported| 208,627 individuals |
PGP000374 | Zaccardi F et al. Nutr Metab Cardiovasc Dis (2022) |Ext. |
Reported Trait: 10-year risk of coronary artery disease for slow walkers | — | — | Hazard Ratio (HR, top 20% vs. bottom 80%): 2.72 [2.3, 3.13] | — | — |
| PPM015492 | PGS000013 (GPS_CAD) |
PSS009961| Ancestry Not Reported| 208,627 individuals |
PGP000374 | Zaccardi F et al. Nutr Metab Cardiovasc Dis (2022) |Ext. |
Reported Trait: Difference in 10-year risk of coronary artery disease between slow walkers and brisk walkers | — | — | Hazard Ratio (HR, top 20% vs. bottom 80%): 1.26 [0.81, 1.71] | — | — |
| PPM015494 | PGS000013 (GPS_CAD) |
PSS009961| Ancestry Not Reported| 208,627 individuals |
PGP000374 | Zaccardi F et al. Nutr Metab Cardiovasc Dis (2022) |Ext. |
Reported Trait: 10-year risk of coronary artery disease | — | C-index: 0.801 [0.793, 0.808] | — | Age (continuous), Townsend deprivation index (continuous), systolic blood pressure (continuous), LDL cholesterol (continuous), smoking status (current/former/never), history of diabetes (yes/no), family history of myocardial infarction (yes/no), walking pace | — |
| PPM015495 | PGS000013 (GPS_CAD) |
PSS009960| Ancestry Not Reported| 172,066 individuals |
PGP000374 | Zaccardi F et al. Nutr Metab Cardiovasc Dis (2022) |Ext. |
Reported Trait: 10-year risk of coronary artery disease | — | C-index: 0.732 [0.728, 0.737] | — | Age (continuous), Townsend deprivation index (continuous), systolic blood pressure (continuous), LDL cholesterol (continuous), smoking status (current/former/never), history of diabetes (yes/no), family history of myocardial infarction (yes/no), walking pace | — |
| PPM015569 | PGS000337 (MetaPRS_CAD) |
PSS009986| Greater Middle Eastern Ancestry| 7,023 individuals |
PGP000386 | Saad M et al. Circ Genom Precis Med (2022) |Ext. |
Reported Trait: Coronary heart disease | OR: 1.81 [1.66, 1.98] | AUROC: 0.667 [0.649, 0.685] | — | — | — |
| PPM015570 | PGS000296 (GPS_CAD_SA) |
PSS009986| Greater Middle Eastern Ancestry| 7,023 individuals |
PGP000386 | Saad M et al. Circ Genom Precis Med (2022) |Ext. |
Reported Trait: Coronary heart disease | OR: 1.53 [1.42, 1.64] | AUROC: 0.683 [0.665, 0.701] | — | — | — |
| PPM015571 | PGS000018 (metaGRS_CAD) |
PSS009986| Greater Middle Eastern Ancestry| 7,023 individuals |
PGP000386 | Saad M et al. Circ Genom Precis Med (2022) |Ext. |
Reported Trait: Coronary heart disease | OR: 1.54 [1.43, 1.66] | AUROC: 0.686 [0.667, 0.704] | — | — | — |
| PPM015572 | PGS000749 (PRS_COMBINED) |
PSS009986| Greater Middle Eastern Ancestry| 7,023 individuals |
PGP000386 | Saad M et al. Circ Genom Precis Med (2022) |Ext. |
Reported Trait: Coronary heart disease | OR: 1.66 [1.51, 1.82] | AUROC: 0.645 [0.627, 0.663] | — | — | — |
| PPM015577 | PGS002809 (GRS_CAD) |
PSS009989| European Ancestry| 360,098 individuals |
PGP000388 | Ahmed R et al. Int J Cardiol Heart Vasc (2022) |
Reported Trait: Incident coronary artery disease | — | — | Hazard ratio (HR, >=3 vs <0.5 risk): 3.02 [2.73, 3.33] | — | Calculated as Population‐standardized GRS |
| PPM015578 | PGS002809 (GRS_CAD) |
PSS009989| European Ancestry| 360,098 individuals |
PGP000388 | Ahmed R et al. Int J Cardiol Heart Vasc (2022) |
Reported Trait: Incident coronary artery disease in subjects with borderline-/intermediate-ASCVD risk | — | — | Hazard ratio (HR, >=3 vs <0.5 risk): 2.91 [2.59, 3.26] | — | — |
| PPM016211 | PGS003356 (1MH_CAD_PRS_2022_Ldpred) |
PSS010059| European Ancestry| 14,298 individuals |
PGP000409 | Aragam KG et al. Nat Genet (2022) |
Reported Trait: Recurrent coronary artery disease | HR: 1.2 [1.11, 1.29] | — | — | age, sex and ancestry (PCs 1-5) | — |
| PPM016212 | PGS003355 (1MH_CAD_PRS_2015_Ldpred) |
PSS010059| European Ancestry| 14,298 individuals |
PGP000409 | Aragam KG et al. Nat Genet (2022) |
Reported Trait: Recurrent coronary artery disease | HR: 1.13 [1.04, 1.22] | — | — | age, sex and ancestry (PCs 1-5) | — |
| PPM016208 | PGS003356 (1MH_CAD_PRS_2022_Ldpred) |
PSS010060| Ancestry Not Reported| 5,685 individuals |
PGP000409 | Aragam KG et al. Nat Genet (2022) |
Reported Trait: Incident coronary artery disease | HR: 1.61 [1.5, 1.72] | — | — | age, sex and ancestry (PCs 1-5) | — |
| PPM016210 | PGS003355 (1MH_CAD_PRS_2015_Ldpred) |
PSS010060| Ancestry Not Reported| 5,685 individuals |
PGP000409 | Aragam KG et al. Nat Genet (2022) |
Reported Trait: Incident coronary artery disease | HR: 1.49 [1.39, 1.59] | — | — | age, sex and ancestry (PCs 1-5) | — |
| PPM016209 | PGS003356 (1MH_CAD_PRS_2022_Ldpred) |
PSS010060| Ancestry Not Reported| 5,685 individuals |
PGP000409 | Aragam KG et al. Nat Genet (2022) |
Reported Trait: Incident coronary artery disease | HR: 1.54 | — | — | age, sex and ancestry (PCs 1–5), established risk factors for CAD (total cholesterol, HDL cholesterol, systolic blood pressure, body mass index, type 2 diabetes, current smoking status and family history of CAD) | — |
| PPM017084 | PGS000018 (metaGRS_CAD) |
PSS010120| European Ancestry| 4,218 individuals |
PGP000433 | de La Harpe R et al. Eur J Prev Cardiol (2023) |Ext. |
Reported Trait: Atherosclerotic cardiovascular disease (incident and prevalent) | OR: 1.36 [1.21, 1.52] | AUROC: 0.772 [0.748, 0.796] | — | sex, age | — |
| PPM017085 | PGS000018 (metaGRS_CAD) |
PSS010122| European Ancestry| 4,218 individuals |
PGP000433 | de La Harpe R et al. Eur J Prev Cardiol (2023) |Ext. |
Reported Trait: Coronary heart disease (incident and prevalent) | OR: 1.63 [1.45, 1.83] | AUROC: 0.793 [0.77, 0.816] | — | sex, age | — |
| PPM017086 | PGS000018 (metaGRS_CAD) |
PSS010119| European Ancestry| 3,383 individuals |
PGP000433 | de La Harpe R et al. Eur J Prev Cardiol (2023) |Ext. |
Reported Trait: Incident atherosclerotic cardiovascular disease | HR: 1.31 [1.13, 1.51] | AUROC: 0.769 [0.734, 0.804] C-index: 0.779 [0.746, 0.811] |
— | sex, age, 10 principal components | — |
| PPM017087 | PGS000018 (metaGRS_CAD) |
PSS010121| European Ancestry| 3,383 individuals |
PGP000433 | de La Harpe R et al. Eur J Prev Cardiol (2023) |Ext. |
Reported Trait: Incident coronary heart disease | HR: 1.62 [1.43, 1.84] | AUROC: 0.784 [0.757, 0.811] C-index: 0.79 [0.764, 0.816] |
— | sex, age, 10 principal components | — |
| PPM017088 | PGS000013 (GPS_CAD) |
PSS010120| European Ancestry| 4,218 individuals |
PGP000433 | de La Harpe R et al. Eur J Prev Cardiol (2023) |Ext. |
Reported Trait: Atherosclerotic cardiovascular disease (incident and prevalent) | OR: 1.34 [1.2, 1.5] | AUROC: 0.766 [0.741, 0.792] | — | sex, age | — |
| PPM017089 | PGS000013 (GPS_CAD) |
PSS010122| European Ancestry| 4,218 individuals |
PGP000433 | de La Harpe R et al. Eur J Prev Cardiol (2023) |Ext. |
Reported Trait: Coronary heart disease (incident and prevalent) | OR: 1.6 [1.44, 1.79] | AUROC: 0.784 [0.76, 0.808] | — | sex, age | — |
| PPM017090 | PGS000013 (GPS_CAD) |
PSS010119| European Ancestry| 3,383 individuals |
PGP000433 | de La Harpe R et al. Eur J Prev Cardiol (2023) |Ext. |
Reported Trait: Incident atherosclerotic cardiovascular disease | HR: 1.29 [1.13, 1.48] | — | — | sex, age, 10 principal components | — |
| PPM017091 | PGS000013 (GPS_CAD) |
PSS010121| European Ancestry| 3,383 individuals |
PGP000433 | de La Harpe R et al. Eur J Prev Cardiol (2023) |Ext. |
Reported Trait: Incident coronary heart disease | HR: 1.59 [1.41, 1.8] | — | — | sex, age, 10 principal components | — |
| PPM017092 | PGS000329 (PRS_CHD) |
PSS010120| European Ancestry| 4,218 individuals |
PGP000433 | de La Harpe R et al. Eur J Prev Cardiol (2023) |Ext. |
Reported Trait: Atherosclerotic cardiovascular disease (incident and prevalent) | OR: 1.33 [1.2, 1.49] | AUROC: 0.765 [0.74, 0.79] | — | sex, age | — |
| PPM017093 | PGS000329 (PRS_CHD) |
PSS010122| European Ancestry| 4,218 individuals |
PGP000433 | de La Harpe R et al. Eur J Prev Cardiol (2023) |Ext. |
Reported Trait: Coronary heart disease (incident and prevalent) | OR: 1.59 [1.42, 1.77] | AUROC: 0.779 [0.756, 0.803] | — | sex, age | — |
| PPM017094 | PGS000329 (PRS_CHD) |
PSS010119| European Ancestry| 3,383 individuals |
PGP000433 | de La Harpe R et al. Eur J Prev Cardiol (2023) |Ext. |
Reported Trait: Incident atherosclerotic cardiovascular disease | HR: 1.29 [1.12, 1.47] | — | — | sex, age, 10 principal components | — |
| PPM017095 | PGS000329 (PRS_CHD) |
PSS010121| European Ancestry| 3,383 individuals |
PGP000433 | de La Harpe R et al. Eur J Prev Cardiol (2023) |Ext. |
Reported Trait: Incident coronary heart disease | HR: 1.57 [1.4, 1.77] | — | — | sex, age, 10 principal components | — |
| PPM017098 | PGS000116 (CAD_EJ2020) |
PSS010122| European Ancestry| 4,218 individuals |
PGP000433 | de La Harpe R et al. Eur J Prev Cardiol (2023) |Ext. |
Reported Trait: Coronary heart disease (incident and prevalent) | OR: 1.69 [1.5, 1.92] | AUROC: 0.781 [0.575, 0.805] | — | sex, age | — |
| PPM017099 | PGS000116 (CAD_EJ2020) |
PSS010121| European Ancestry| 3,383 individuals |
PGP000433 | de La Harpe R et al. Eur J Prev Cardiol (2023) |Ext. |
Reported Trait: Incident coronary heart disease | HR: 1.67 [1.46, 1.92] | — | — | sex, age, 10 principal components | — |
| 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 |
| PPM017185 | PGS003446 (TEM_CAD_PRS) |
PSS010163| European Ancestry| 67,738 individuals |
PGP000446 | Tcheandjieu C et al. Nat Med (2022) |
Reported Trait: Coronary artery disease | OR: 1.35 [1.31, 138.0] | — | — | — | — |
| PPM017188 | PGS000013 (GPS_CAD) |
PSS010162| European Ancestry| 292,438 individuals |
PGP000446 | Tcheandjieu C et al. Nat Med (2022) |Ext. |
Reported Trait: Acute myocardial infarction or revascularization | OR: 1.51 [1.49, 1.53] | — | — | age, sex, genotyping batch and top 10 genotype-based PCs | — |
| PPM017195 | PGS000013 (GPS_CAD) |
PSS010161| Hispanic or Latin American Ancestry| 30,648 individuals |
PGP000446 | Tcheandjieu C et al. Nat Med (2022) |Ext. |
Reported Trait: Acute myocardial infarction or revascularization in incident coronary artery disease | OR: 1.49 [1.38, 1.61] | — | — | age, sex, genotyping batch and top 10 genotype-based PCs | — |
| PPM018420 | PGS003725 (GPS_Mult) |
PSS010961| African Ancestry| 7,281 individuals |
PGP000466 | Patel AP et al. Nat Med (2023) |
Reported Trait: Coronary artery disease | HR: 1.25 [1.07, 1.46] OR: 1.39 [1.17, 1.67] |
— | — | age, sex and the first ten principal components of genetic ancestry | — |
| PPM018467 | PGS000018 (metaGRS_CAD) |
PSS010981| European Ancestry| 3,459 individuals |
PGP000468 | Hodel F et al. Elife (2023) |Ext. |
Reported Trait: Coronary heart disease | HR: 1.32 [1.16, 1.51] | — | — | — | — |
| PPM018421 | PGS003725 (GPS_Mult) |
PSS010962| East Asian Ancestry| 1,464 individuals |
PGP000466 | Patel AP et al. Nat Med (2023) |
Reported Trait: Coronary artery disease | HR: 1.72 [1.13, 2.6] OR: 2.14 [1.34, 3.49] |
— | — | age, sex and the first ten principal components of genetic ancestry | — |
| PPM018419 | PGS003725 (GPS_Mult) |
PSS010960| European Ancestry| 308,264 individuals |
PGP000466 | Patel AP et al. Nat Med (2023) |
Reported Trait: Coronary artery disease | HR: 1.75 [1.71, 1.78] OR: 2.14 [2.1, 2.19] |
— | — | age, sex and the first ten principal components of genetic ancestry | — |
| PPM018422 | PGS003725 (GPS_Mult) |
PSS010963| South Asian Ancestry| 8,982 individuals |
PGP000466 | Patel AP et al. Nat Med (2023) |
Reported Trait: Coronary artery disease | HR: 1.62 [1.49, 1.77] OR: 2.02 [1.83, 2.23] |
— | — | age, sex and the first ten principal components of genetic ancestry | — |
| PPM018423 | PGS003725 (GPS_Mult) |
PSS010964| African Ancestry| 33,096 individuals |
PGP000466 | Patel AP et al. Nat Med (2023) |
Reported Trait: Coronary artery disease | OR: 1.25 [1.21, 1.29] | — | — | age, sex and the first ten principal components of genetic ancestry | — |
| PPM018424 | PGS003725 (GPS_Mult) |
PSS010965| European Ancestry| 124,467 individuals |
PGP000466 | Patel AP et al. Nat Med (2023) |
Reported Trait: Coronary artery disease | OR: 1.72 [1.69, 1.75] | — | — | age, sex and the first ten principal components of genetic ancestry | — |
| PPM018425 | PGS003725 (GPS_Mult) |
PSS010966| Hispanic or Latin American Ancestry| 16,433 individuals |
PGP000466 | Patel AP et al. Nat Med (2023) |
Reported Trait: Coronary artery disease | OR: 1.61 [1.53, 1.7] | — | — | age, sex and the first ten principal components of genetic ancestry | — |
| PPM018426 | PGS003725 (GPS_Mult) |
PSS010967| South Asian Ancestry| 16,874 individuals |
PGP000466 | Patel AP et al. Nat Med (2023) |
Reported Trait: Coronary artery disease | OR: 1.83 [1.69, 1.99] | — | — | age, sex and the first ten principal components of genetic ancestry | — |
| PPM018427 | PGS003726 (GPS_CADANC) |
PSS010960| European Ancestry| 308,264 individuals |
PGP000466 | Patel AP et al. Nat Med (2023) |
Reported Trait: Coronary artery disease | HR: 1.73 [1.69, 1.76] | — | — | age, sex and the first ten principal components of genetic ancestry | — |
| PPM018428 | PGS003726 (GPS_CADANC) |
PSS010961| African Ancestry| 7,281 individuals |
PGP000466 | Patel AP et al. Nat Med (2023) |
Reported Trait: Coronary artery disease | HR: 1.18 [1.01, 1.37] | — | — | age, sex and the first ten principal components of genetic ancestry | — |
| PPM018430 | PGS003726 (GPS_CADANC) |
PSS010963| South Asian Ancestry| 8,982 individuals |
PGP000466 | Patel AP et al. Nat Med (2023) |
Reported Trait: Coronary artery disease | HR: 1.6 [1.47, 1.74] | — | — | age, sex and the first ten principal components of genetic ancestry | — |
| PPM018431 | PGS003727 (GPS_CADEUR) |
PSS010960| European Ancestry| 308,264 individuals |
PGP000466 | Patel AP et al. Nat Med (2023) |
Reported Trait: Coronary artery disease | HR: 1.67 [1.64, 1.7] | — | — | age, sex and the first ten principal components of genetic ancestry | — |
| PPM018432 | PGS003727 (GPS_CADEUR) |
PSS010961| African Ancestry| 7,281 individuals |
PGP000466 | Patel AP et al. Nat Med (2023) |
Reported Trait: Coronary artery disease | HR: 1.15 [0.99, 1.34] | — | — | age, sex and the first ten principal components of genetic ancestry | — |
| PPM018433 | PGS003727 (GPS_CADEUR) |
PSS010962| East Asian Ancestry| 1,464 individuals |
PGP000466 | Patel AP et al. Nat Med (2023) |
Reported Trait: Coronary artery disease | HR: 1.54 [1.03, 2.32] | — | — | age, sex and the first ten principal components of genetic ancestry | — |
| PPM018434 | PGS003727 (GPS_CADEUR) |
PSS010963| South Asian Ancestry| 8,982 individuals |
PGP000466 | Patel AP et al. Nat Med (2023) |
Reported Trait: Coronary artery disease | HR: 1.57 [1.44, 1.7] | — | — | age, sex and the first ten principal components of genetic ancestry | — |
| PPM018429 | PGS003726 (GPS_CADANC) |
PSS010962| East Asian Ancestry| 1,464 individuals |
PGP000466 | Patel AP et al. Nat Med (2023) |
Reported Trait: Coronary artery disease | HR: 1.64 [1.09, 2.48] | — | — | age, sex and the first ten principal components of genetic ancestry | — |
| PPM018758 | PGS003866 (CAD_lassosum2_ARB) |
PSS011097| Greater Middle Eastern Ancestry| 2,669 individuals |
PGP000501 | Shim I et al. Nature Communications (2023) |
Reported Trait: Coronary artery disease | OR: 1.51 [1.42, 1.61] | AUROC: 0.795 [0.7768, 0.8132] | — | age, sex, array version, and the first 10 principal components of ancestry | — |
| PPM019106 | PGS001355 (CAD_AnnoPred_PRS) |
PSS011183| European Ancestry| 166,714 individuals |
PGP000506 | Jowell A et al. Eur J Prev Cardiol (2023) |Ext. |
Reported Trait: Family history of heart disease | OR: 1.17 [1.16, 1.19] | — | — | — | — |
| PPM020130 | PGS004196 (cad_1) |
PSS011296| European Ancestry| 45,334 individuals |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Reported Trait: Coronary artery disease | — | AUROC: 0.74561 | — | year of birth, sex | — |
| PPM020131 | PGS004197 (cad_2) |
PSS011296| European Ancestry| 45,334 individuals |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Reported Trait: Coronary artery disease | — | AUROC: 0.75684 | — | year of birth, sex | — |
| PPM020132 | PGS004198 (cad_3) |
PSS011296| European Ancestry| 45,334 individuals |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Reported Trait: Coronary artery disease | — | AUROC: 0.75212 | — | year of birth, sex | — |
| PPM020133 | PGS004199 (cad_4) |
PSS011296| European Ancestry| 45,334 individuals |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Reported Trait: Coronary artery disease | — | AUROC: 0.75031 | — | year of birth, sex | — |
| PPM020258 | PGS004237 (CAD_PRS_LDpred_UKB_Pub1) |
PSS011313| European Ancestry| 403,422 individuals |
PGP000532 | Manikpurage HD et al. Circ Genom Precis Med (2021) |
Reported Trait: Prevalent Coronary Artery Disease | OR: 1.56 [1.56, 1.58] | AUROC: 0.766 | R²: 0.158 | Age, Sex and Genetic Principal Components (1 to 10) | — |
| PPM020259 | PGS004237 (CAD_PRS_LDpred_UKB_Pub1) |
PSS011313| European Ancestry| 403,422 individuals |
PGP000532 | Manikpurage HD et al. Circ Genom Precis Med (2021) |
Reported Trait: Prevalent Myocardial Infarction | OR: 1.63 [1.6, 1.65] | AUROC: 0.772 | R²: 0.129 | Age, Sex and Genetic Principal Components (1 to 10) | — |
| PPM020260 | PGS004237 (CAD_PRS_LDpred_UKB_Pub1) |
PSS011313| European Ancestry| 403,422 individuals |
PGP000532 | Manikpurage HD et al. Circ Genom Precis Med (2021) |
Reported Trait: Prevalent Myocardial Infarction and Coronary Revascularization procedure | OR: 1.73 [1.7, 1.76] | AUROC: 0.789 | R²: 0.162 | Age, Sex and Genetic Principal Components (1 to 10) | — |
| PPM020261 | PGS004237 (CAD_PRS_LDpred_UKB_Pub1) |
PSS011313| European Ancestry| 403,422 individuals |
PGP000532 | Manikpurage HD et al. Circ Genom Precis Med (2021) |
Reported Trait: Incident Myocardial Infarction | HR: 1.53 [1.49, 1.56] | C-index: 0.729 | — | Age, Sex and Genetic Principal Components (1 to 10) | — |
| PPM020262 | PGS004237 (CAD_PRS_LDpred_UKB_Pub1) |
PSS011313| European Ancestry| 403,422 individuals |
PGP000532 | Manikpurage HD et al. Circ Genom Precis Med (2021) |
Reported Trait: Mortality | HR: 1.08 [1.06, 1.09] | — | — | Age, Sex and Genetic Principal Components (1 to 10) | — |
| PPM020267 | PGS000013 (GPS_CAD) |
PSS011315| East Asian Ancestry| 901 individuals |
PGP000534 | Bhak Y et al. PLoS One (2021) |Ext. |
Reported Trait: Early onset acute myocardial infarction following percutaneous coronary intervention | OR: 1.83 [1.69, 1.99] | AUROC: 0.65 [0.61, 0.69] | — | — | — |
| PPM020269 | PGS000013 (GPS_CAD) |
PSS011316| East Asian Ancestry| 197 individuals |
PGP000534 | Bhak Y et al. PLoS One (2021) |Ext. |
Reported Trait: Cumulative event of repeat revascularization following percutaneous coronary intervention | HR: 1.64 [1.12, 2.38] | — | Hazard ratio (HR, top 50% vs bottom 50%): 2.19 [1.47, 2.36] | — | — |
| PPM020270 | PGS000013 (GPS_CAD) |
PSS011316| East Asian Ancestry| 197 individuals |
PGP000534 | Bhak Y et al. PLoS One (2021) |Ext. |
Reported Trait: Cumulative event of repeat revascularization following percutaneous coronary intervention | HR: 1.65 [1.11, 2.46] | — | — | Body mass index, hypertension, current smoking, diabetes mellitus, hypercholesterolemia, family history of coronary artery disease | — |
| PPM020276 | PGS002244 (ldpred_cad) |
PSS011318| African Ancestry| 18,505 individuals |
PGP000536 | Vassy JL et al. JAMA Cardiol (2023) |Ext. |
Reported Trait: Incident myocardial infarction | HR: 1.1 [1.02, 1.19] | — | — | age, sex, and principal components of genetic ancestry | — |
| PPM020277 | PGS002244 (ldpred_cad) |
PSS011319| Hispanic or Latin American Ancestry| 6,785 individuals |
PGP000536 | Vassy JL et al. JAMA Cardiol (2023) |Ext. |
Reported Trait: Incident myocardial infarction | HR: 1.26 [1.09, 1.46] | — | — | age, sex, and principal components of genetic ancestry | — |
| PPM020278 | PGS002244 (ldpred_cad) |
PSS011320| European Ancestry| 53,861 individuals |
PGP000536 | Vassy JL et al. JAMA Cardiol (2023) |Ext. |
Reported Trait: Incident myocardial infarction | HR: 1.23 [1.18, 1.29] | — | — | age, sex, and principal components of genetic ancestry | — |
| PPM020134 | PGS004200 (cad_5) |
PSS011296| European Ancestry| 45,334 individuals |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Reported Trait: Lipoprotein A | — | — | R²: 0.57648 | year of birth, sex | — |
| PPM020268 | PGS000013 (GPS_CAD) |
PSS011315| East Asian Ancestry| 901 individuals |
PGP000534 | Bhak Y et al. PLoS One (2021) |Ext. |
Reported Trait: Early onset acute myocardial infarction following percutaneous coronary intervention | — | AUROC: 0.92 [0.9, 0.94] | — | Current smoking, hypercholesterolemia, body mass index, hypertension, family history of coronary artery disease, diabetes mellitus | significant contribution of the PRS to the risk factor model p=0.015 |
| PPM020373 | PGS004305 (GenoBoost_coronary_artery_disease_0) |
PSS011339| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Coronary artery disease | — | AUROC: 0.75531 | Covariate-adjusted pseudo-R2: 0.02237 AUPRC: 0.75531 |
age, sex, PC1-10 | — |
| PPM020375 | PGS004307 (GenoBoost_coronary_artery_disease_2) |
PSS011339| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Coronary artery disease | — | AUROC: 0.75669 | Covariate-adjusted pseudo-R2: 0.0242 AUPRC: 0.75669 |
age, sex, PC1-10 | — |
| PPM020376 | PGS004308 (GenoBoost_coronary_artery_disease_3) |
PSS011339| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Coronary artery disease | — | AUROC: 0.75454 | Covariate-adjusted pseudo-R2: 0.02173 AUPRC: 0.75454 |
age, sex, PC1-10 | — |
| PPM020377 | PGS004309 (GenoBoost_coronary_artery_disease_4) |
PSS011339| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Coronary artery disease | — | AUROC: 0.75719 | Covariate-adjusted pseudo-R2: 0.02427 AUPRC: 0.75719 |
age, sex, PC1-10 | — |
| PPM020426 | PGS004321 (PRS27_CAD) |
PSS011357| European Ancestry| 14,298 individuals |
PGP000554 | Marston NA et al. Circulation (2019) |
Reported Trait: Major vascular events (placebo arm) | HR: 1.1 [1.03, 1.18] | — | — | — | — |
| PPM020427 | PGS004321 (PRS27_CAD) |
PSS011357| European Ancestry| 14,298 individuals |
PGP000554 | Marston NA et al. Circulation (2019) |
Reported Trait: Major coronary events (placebo arm) | HR: 1.17 [1.08, 1.26] | — | — | — | — |
| PPM020428 | PGS004321 (PRS27_CAD) |
PSS011357| European Ancestry| 14,298 individuals |
PGP000554 | Marston NA et al. Circulation (2019) |
Reported Trait: Major vascular events (evolocumab vs placebo) | — | — | p-value (pvalue, evolocumab and high PRS vs. placebo and low PRS): 0.07 | — | — |
| PPM020558 | PGS004443 (disease.CAD.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Coronary artery disease (CAD) | OR: 1.48578 | — | — | — | — |
| PPM020559 | PGS004444 (disease.CVD.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Coronary vascular disease (CVD) | OR: 1.28186 | — | — | — | — |
| PPM020628 | PGS004513 (meta.CAD.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Coronary artery disease (CAD) | OR: 1.57686 | — | — | — | — |
| PPM020629 | PGS004514 (meta.CVD.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Coronary vascular disease (CVD) | OR: 1.34059 | — | — | — | — |
| PPM020713 | PGS000013 (GPS_CAD) |
PSS011380| European Ancestry| 1,863 individuals |
PGP000568 | Khan SS et al. Circulation (2022) |Ext. |
Reported Trait: Incident coronary heart diseaase | HR: 1.82 [1.56, 2.12] | — | — | 30-year traditional risk factor score linear predictor | — |
| PPM020714 | PGS000013 (GPS_CAD) |
PSS011379| European Ancestry| 2,154 individuals |
PGP000568 | Khan SS et al. Circulation (2022) |Ext. |
Reported Trait: Incident coronary heart diseaase | HR: 1.6 [1.43, 1.79] | — | — | 30-year traditional risk factor score linear predictor | — |
| PPM020715 | PGS000013 (GPS_CAD) |
PSS011378| European Ancestry| 5,740 individuals |
PGP000568 | Khan SS et al. Circulation (2022) |Ext. |
Reported Trait: Incident coronary heart diseaase | HR: 1.16 [1.09, 1.23] | — | — | 30-year traditional risk factor score linear predictor | — |
| PPM020716 | PGS000013 (GPS_CAD) |
PSS011380| European Ancestry| 1,863 individuals |
PGP000568 | Khan SS et al. Circulation (2022) |Ext. |
Reported Trait: Incident coronary heart diseaase | HR: 1.98 [1.7, 2.3] | C-index: 0.73 | — | Age, sex | — |
| PPM020717 | PGS000013 (GPS_CAD) |
PSS011379| European Ancestry| 2,154 individuals |
PGP000568 | Khan SS et al. Circulation (2022) |Ext. |
Reported Trait: Incident coronary heart diseaase | HR: 1.64 [1.47, 1.84] | C-index: 0.66 | — | Age, sex | — |
| PPM020718 | PGS000013 (GPS_CAD) |
PSS011378| European Ancestry| 5,740 individuals |
PGP000568 | Khan SS et al. Circulation (2022) |Ext. |
Reported Trait: Incident coronary heart diseaase | HR: 1.22 [1.15, 1.3] | C-index: 0.66 | — | Age, sex | — |
| PPM020745 | PGS004595 (PRS_CHD) |
PSS011389| European Ancestry| 21,824 individuals |
PGP000575 | Oni-Orisan A et al. Clin Pharmacol Ther (2022) |
Reported Trait: Myocardial infarction in non-statin users | HR: 1.59 [1.42, 1.78] | — | — | Age, sex, hypertension, diabetes, and cigarette smoking status | — |
| PPM020746 | PGS004595 (PRS_CHD) |
PSS011389| European Ancestry| 21,824 individuals |
PGP000575 | Oni-Orisan A et al. Clin Pharmacol Ther (2022) |
Reported Trait: Major adverse cardiovascular event in non-statin users | HR: 1.35 [1.25, 1.46] | — | — | Age, sex, hypertension, diabetes, and cigarette smoking status | — |
| PPM020748 | PGS004596 (PRS64_CHD) |
PSS011390| Multi-ancestry (including European)| 13,348 individuals |
PGP000576 | Peng H et al. Nutrients (2023) |
Reported Trait: Incident coronary artery disease in breast cancer survivors | — | — | Hazard ratio (HR, top 50% vs bottom 50% of PRS): 1.36 [1.1, 1.67] | Age at diagnosis of breast cancer, race, Townsend Deprivation Index, diabetes, hypertension, antihypertensive medications, insulin treatment, lipid treatments, hormone replacement therapy, menopause, surgical treatment of breast cancer, genetic testing batches, 10 PCs | — |
| PPM020751 | PGS004596 (PRS64_CHD) |
PSS011390| Multi-ancestry (including European)| 13,348 individuals |
PGP000576 | Peng H et al. Nutrients (2023) |
Reported Trait: Incident coronary artery disease in breast cancer survivors with lifestyle | — | — | Hazard ratio (HR, unhealthy lifestyle and PRS in top 50% vs healthy lifestyle and PRS in bottom 50%): 0.37 [0.24, 0.56] | Age at diagnosis of breast cancer, race, Townsend Deprivation Index, diabetes, hypertension, antihypertensive medications, insulin treatment, lipid treatments, hormone replacement therapy, menopause, surgical treatment of breast cancer, genetic testing batches, 10 PCs | — |
| PPM020882 | PGS003356 (1MH_CAD_PRS_2022_Ldpred) |
PSS011442| European Ancestry| 564 individuals |
PGP000599 | Guarischi-Sousa R et al. Circ Genom Precis Med (2023) |Ext. |
Reported Trait: Raised coronary lesion | OR: 1.44 [1.18, 1.76] | — | — | — | — |
| PPM020897 | PGS003356 (1MH_CAD_PRS_2022_Ldpred) |
PSS011441| African Ancestry| 504 individuals |
PGP000599 | Guarischi-Sousa R et al. Circ Genom Precis Med (2023) |Ext. |
Reported Trait: Raised coronary lesion | OR: 1.0 [0.81, 1.24] | — | — | — | — |
| PPM020903 | PGS004697 (eur_anc_hg37CSx) |
PSS011448| European Ancestry| 52,702 individuals |
PGP000602 | Smith JL et al. Circ Genom Precis Med (2024) |
Reported Trait: Incident coronary heart disease | OR: 1.55 [1.5, 1.6] | AUROC: 0.773 | — | age, sex, 10 PCs | — |
| PPM020904 | PGS004696 (multi_anc_hg37CSx) |
PSS011448| European Ancestry| 52,702 individuals |
PGP000602 | Smith JL et al. Circ Genom Precis Med (2024) |
Reported Trait: Incident coronary heart disease | OR: 1.65 [1.59, 1.71] | AUROC: 0.774 | — | age, sex, 10 PCs | — |
| PPM020905 | PGS004697 (eur_anc_hg37CSx) |
PSS011446| African Ancestry| 17,008 individuals |
PGP000602 | Smith JL et al. Circ Genom Precis Med (2024) |
Reported Trait: Incident coronary heart disease | OR: 1.25 [1.17, 1.33] | AUROC: 0.734 | — | age, sex, 10 PCs | — |
| PPM020906 | PGS004696 (multi_anc_hg37CSx) |
PSS011446| African Ancestry| 17,008 individuals |
PGP000602 | Smith JL et al. Circ Genom Precis Med (2024) |
Reported Trait: Incident coronary heart disease | OR: 1.2 [1.15, 1.26] | AUROC: 0.736 | — | age, sex, 10 PCs | — |
| PPM020907 | PGS004697 (eur_anc_hg37CSx) |
PSS011449| Hispanic or Latin American Ancestry| 6,138 individuals |
PGP000602 | Smith JL et al. Circ Genom Precis Med (2024) |
Reported Trait: Incident coronary heart disease | OR: 1.52 [1.36, 1.71] | AUROC: 0.708 | — | age, sex, 10 PCs | — |
| PPM020908 | PGS004696 (multi_anc_hg37CSx) |
PSS011449| Hispanic or Latin American Ancestry| 6,138 individuals |
PGP000602 | Smith JL et al. Circ Genom Precis Med (2024) |
Reported Trait: Incident coronary heart disease | OR: 1.51 [1.35, 1.69] | AUROC: 0.706 | — | age, sex, 10 PCs | — |
| PPM020909 | PGS004697 (eur_anc_hg37CSx) |
PSS011447| East Asian Ancestry| 22,751 individuals |
PGP000602 | Smith JL et al. Circ Genom Precis Med (2024) |
Reported Trait: Incident coronary heart disease | OR: 1.51 [1.44, 1.59] | AUROC: 0.756 | — | age, sex, 10 PCs | — |
| PPM020910 | PGS004696 (multi_anc_hg37CSx) |
PSS011447| East Asian Ancestry| 22,751 individuals |
PGP000602 | Smith JL et al. Circ Genom Precis Med (2024) |
Reported Trait: Incident coronary heart disease | OR: 1.59 [1.54, 1.64] | AUROC: 0.762 | — | age, sex, 10 PCs | — |
| PPM020911 | PGS004697 (eur_anc_hg37CSx) |
PSS011450| South Asian Ancestry| 9,178 individuals |
PGP000602 | Smith JL et al. Circ Genom Precis Med (2024) |
Reported Trait: Incident coronary heart disease | OR: 2.47 [2.23, 2.73] | AUROC: 0.803 | — | age, sex, 10 PCs | — |
| PPM020912 | PGS004696 (multi_anc_hg37CSx) |
PSS011450| South Asian Ancestry| 9,178 individuals |
PGP000602 | Smith JL et al. Circ Genom Precis Med (2024) |
Reported Trait: Incident coronary heart disease | OR: 2.67 [2.39, 3.01] | AUROC: 0.803 | — | age, sex, 10 PCs | — |
| PPM020913 | PGS004698 (multi_anc_hg37PT) |
PSS011448| European Ancestry| 52,702 individuals |
PGP000602 | Smith JL et al. Circ Genom Precis Med (2024) |
Reported Trait: Incident coronary heart disease | OR: 1.65 [1.59 -1.72) | AUROC: 0.773 | — | age, sex, 10 PCs | — |
| PPM020914 | PGS004698 (multi_anc_hg37PT) |
PSS011446| African Ancestry| 17,008 individuals |
PGP000602 | Smith JL et al. Circ Genom Precis Med (2024) |
Reported Trait: Incident coronary heart disease | OR: 1.16 [1.11, 1.21] | AUROC: 0.735 | — | age, sex, 10 PCs | — |
| PPM020915 | PGS004698 (multi_anc_hg37PT) |
PSS011449| Hispanic or Latin American Ancestry| 6,138 individuals |
PGP000602 | Smith JL et al. Circ Genom Precis Med (2024) |
Reported Trait: Incident coronary heart disease | OR: 1.38 [1.24, 1.54] | AUROC: 0.699 | — | age, sex, 10 PCs | — |
| PPM020916 | PGS004698 (multi_anc_hg37PT) |
PSS011447| East Asian Ancestry| 22,751 individuals |
PGP000602 | Smith JL et al. Circ Genom Precis Med (2024) |
Reported Trait: Incident coronary heart disease | OR: 1.56 [1.5, 1.61] | AUROC: 0.748 | — | age, sex, 10 PCs | — |
| PPM020917 | PGS004698 (multi_anc_hg37PT) |
PSS011450| South Asian Ancestry| 9,178 individuals |
PGP000602 | Smith JL et al. Circ Genom Precis Med (2024) |
Reported Trait: Incident coronary heart disease | OR: 2.75 [2.41, 3.14] | AUROC: 0.786 | — | age, sex, 10 PCs | — |
| PPM020968 | PGS004743 (cad_PRSmix_eur) |
PSS011487| European Ancestry| 7,465 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Coronary artery disease | — | — | Incremental R2 (Full model versus model with only covariates): 0.039 [0.03, 0.048] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM020969 | PGS004744 (cad_PRSmix_sas) |
PSS011474| South Asian Ancestry| 8,837 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Coronary artery disease | — | — | Incremental R2 (Full model versus model with only covariates): 0.014 [0.009, 0.019] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM020970 | PGS004745 (cad_PRSmixPlus_eur) |
PSS011487| European Ancestry| 7,465 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Coronary artery disease | — | — | Incremental R2 (Full model versus model with only covariates): 0.05 [0.04, 0.059] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM020971 | PGS004746 (cad_PRSmixPlus_sas) |
PSS011474| South Asian Ancestry| 8,837 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Coronary artery disease | — | — | Incremental R2 (Full model versus model with only covariates): 0.02 [0.014, 0.026] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM021209 | PGS004879 (INTERVENE_MegaPRS_CHD) |
PSS011573| European Ancestry| 38,448 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident CHD | HR: 1.18 [1.16, 1.2] | C-index: 0.55 [0.55, 0.56] | — | PCs 1-10 | — |
| PPM021210 | PGS004879 (INTERVENE_MegaPRS_CHD) |
PSS011572| European Ancestry| 69,715 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident CHD | HR: 1.39 [1.36, 1.42] | C-index: 0.6 [0.59, 0.6] | — | PCs 1-10 | — |
| PPM021211 | PGS004879 (INTERVENE_MegaPRS_CHD) |
PSS011571| European Ancestry| 29,427 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident CHD | HR: 1.32 [1.27, 1.38] | C-index: 0.6 [0.58, 0.61] | — | PCs 1-10 | — |
| PPM021212 | PGS004879 (INTERVENE_MegaPRS_CHD) |
PSS011569| European Ancestry| 44,168 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident CHD | HR: 1.27 [1.23, 1.32] | — | — | PCs 1-10 | — |
| PPM021213 | PGS004879 (INTERVENE_MegaPRS_CHD) |
PSS011570| European Ancestry| 7,018 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident CHD | HR: 1.13 [1.07, 1.19] | C-index: 0.56 [0.54, 0.57] | — | PCs 1-10 | — |
| PPM021214 | PGS004879 (INTERVENE_MegaPRS_CHD) |
PSS011568| European Ancestry| 412,090 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident CHD | HR: 1.41 [1.4, 1.43] | C-index: 0.62 [0.62, 0.62] | — | PCs 1-10 | — |
| PPM021215 | PGS004879 (INTERVENE_MegaPRS_CHD) |
PSS011567| European Ancestry| 148,312 individuals |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Reported Trait: Incident CHD | HR: 1.18 [1.16, 1.21] | C-index: 0.58 [0.57, 0.58] | — | PCs 1-10 | — |
| PPM021266 | PGS004888 (CAD_gePGS) |
PSS011669| Multi-ancestry (including European)| 11,515 individuals |
PGP000619 | Mandla R et al. Genome Med (2024) |
Reported Trait: Incident coronary artery disease cases without diabetes | HR: 1.27 [1.18, 1.36] | C-index: 0.752 | — | first 10 ancestry PCs, age, sex, smoking status, systolic blood pressure, HDL, and total cholesterol combined into a clinical risk score | — |
| PPM021268 | PGS004888 (CAD_gePGS) |
PSS011669| Multi-ancestry (including European)| 11,515 individuals |
PGP000619 | Mandla R et al. Genome Med (2024) |
Reported Trait: Incident coronary artery disease cases with diabetes | HR: 1.13 [1.02, 1.25] | C-index: 0.668 | — | first 10 ancestry PCs, age, sex, smoking status, systolic blood pressure, HDL, and total cholesterol combined into a clinical risk score | — |
| PPM021296 | PGS000013 (GPS_CAD) |
PSS011679| Multi-ancestry (including European)| 90,053 individuals |
PGP000626 | Douville NJ et al. Circ Genom Precis Med (2020) |Ext. |
Reported Trait: Myocardial injury following non cardiac surgery | OR: 1.23 [1.11, 1.37] | AUROC: 0.72 (0.011) | — | Age, sex, race | — |
| PPM021297 | PGS000013 (GPS_CAD) |
PSS011679| Multi-ancestry (including European)| 90,053 individuals |
PGP000626 | Douville NJ et al. Circ Genom Precis Med (2020) |Ext. |
Reported Trait: Myocardial injury following non cardiac surgery | OR: 1.12 [1.02, 1.24] | AUROC: 0.793 (0.014) | — | High-risk surgery, history of ischemic heart disease, history of congestive heart failure, history of cerebrovascular disease, insulin therapy for diabetes mellitus, preoperative creatinine >2.0 mg/dL | — |
| PPM021298 | PGS000013 (GPS_CAD) |
PSS011679| Multi-ancestry (including European)| 90,053 individuals |
PGP000626 | Douville NJ et al. Circ Genom Precis Med (2020) |Ext. |
Reported Trait: Myocardial injury following non cardiac surgery | OR: 1.19 [1.07, 1.31] | AUROC: 0.912 (0.006) | — | Age, admission type (admit and inpatient versus outpatient reference), composite RCRI score, history of a cardiac arrhythmia, history of fluid or electrolyte disorder, history of hypertension | — |
| PPM021299 | PGS000013 (GPS_CAD) |
PSS011679| Multi-ancestry (including European)| 90,053 individuals |
PGP000626 | Douville NJ et al. Circ Genom Precis Med (2020) |Ext. |
Reported Trait: Myocardial injury following non cardiac surgery | OR: 1.17 [1.06, 1.3] | AUROC: 0.921 (0.006) | — | Age, admission type (admit and inpatient versus outpatient reference), composite RCRI score, history of a cardiac arrhythmia, history of fluid or electrolyte disorder, history of hypertension, case duration (hours), pRBC transfusion (units), crystalloid resuscitation (L), estimated blood loss (L), total epinephrine dose (100mcg), total ephedrine dose (50mcg), total norepinephrine dose (40mcg), total phenylephrine dose (1000mcg), total vasopressin dose (10 units), time with myocardial injury after non cardiac surgery < 50 mmHg (min). | — |
| PPM021300 | PGS000012 (GRS49K) |
PSS011680| European Ancestry| 26,203 individuals |
PGP000627 | Martikainen P et al. J Epidemiol Community Health (2021) |Ext. |
Reported Trait: Incident coronary heart disease hospitalization or death | — | — | Hazard Ratio (HR, top 25% vs bottom 25%): 2.26 [1.97, 2.59] | Age as timescale, sex, region of residence, calendar year, study batch, PCs(1-10) | — |
| PPM021301 | PGS000012 (GRS49K) |
PSS011680| European Ancestry| 26,203 individuals |
PGP000627 | Martikainen P et al. J Epidemiol Community Health (2021) |Ext. |
Reported Trait: Incident coronary heart disease hospitalization or death | — | — | Hazard Ratio (HR, top 25% vs bottom 25%): 2.27 [1.98, 2.61] | Age as timescale, sex, region of residence, calendar year, study batch, PCs(1-10), education | — |
| PPM021302 | PGS000012 (GRS49K) |
PSS011680| European Ancestry| 26,203 individuals |
PGP000627 | Martikainen P et al. J Epidemiol Community Health (2021) |Ext. |
Reported Trait: Incident coronary heart disease hospitalization or death | — | — | Hazard Ratio (HR, top 25% vs bottom 25%): 2.12 [1.48, 2.43] | Age as timescale, sex, region of residence, calendar year, study batch, PCs(1-10), smoking, alcohol use, body mass index, high-density lipoprotein and total cholesterol, blood pressure, diabetes | — |
| PPM021303 | PGS000011 (GRS50) |
PSS011680| European Ancestry| 26,203 individuals |
PGP000627 | Martikainen P et al. J Epidemiol Community Health (2021) |Ext. |
Reported Trait: Incident coronary heart disease hospitalization or death | — | — | Hazard Ratio (HR, top 25% vs bottom 25%): 1.55 [1.38, 1.76] | Age as timescale, sex, region of residence, calendar year, study batch, PCs(1-10) | — |
| PPM021304 | PGS000011 (GRS50) |
PSS011680| European Ancestry| 26,203 individuals |
PGP000627 | Martikainen P et al. J Epidemiol Community Health (2021) |Ext. |
Reported Trait: Incident coronary heart disease hospitalization or death | — | — | Hazard Ratio (HR, top 25% vs bottom 25%): 1.56 [1.38, 1.77] | Age as timescale, sex, region of residence, calendar year, study batch, PCs(1-10), education | — |
| PPM021305 | PGS000011 (GRS50) |
PSS011680| European Ancestry| 26,203 individuals |
PGP000627 | Martikainen P et al. J Epidemiol Community Health (2021) |Ext. |
Reported Trait: Incident coronary heart disease hospitalization or death | — | — | Hazard Ratio (HR, top 25% vs bottom 25%): 1.53 [1.35, 1.73] | Age as timescale, sex, region of residence, calendar year, study batch, PCs(1-10), smoking, alcohol use, body mass index, high-density lipoprotein and total cholesterol, blood pressure, diabetes | — |
| PPM021306 | PGS000018 (metaGRS_CAD) |
PSS011681| European Ancestry| 306,654 individuals |
PGP000628 | Sun L et al. PLoS Med (2021) |Ext. |
Reported Trait: Incident cardiovascular disease outcome | HR: 1.31 [1.27, 1.34] | — | — | Age at baseline, smoking status, history of diabetes, systolic blood pressure, total cholesterol, high-density lipoprotein cholesterol levels, stratified by study centre, sex | — |
| PPM021307 | PGS000018 (metaGRS_CAD) |
PSS011681| European Ancestry| 306,654 individuals |
PGP000628 | Sun L et al. PLoS Med (2021) |Ext. |
Reported Trait: Incident coronary heart disease | HR: 1.49 [1.44, 1.54] | — | — | Age at baseline, smoking status, history of diabetes, systolic blood pressure, total cholesterol, high-density lipoprotein cholesterol levels, stratified by study centre, sex | — |
| PPM021308 | PGS000018 (metaGRS_CAD) |
PSS011681| European Ancestry| 306,654 individuals |
PGP000628 | Sun L et al. PLoS Med (2021) |Ext. |
Reported Trait: Incident coronary heart disease | HR: 1.57 [1.51, 1.62] | — | — | Age at baseline, stratified by study centre, sex | — |
| PPM021309 | PGS000018 (metaGRS_CAD) |
PSS011681| European Ancestry| 306,654 individuals |
PGP000628 | Sun L et al. PLoS Med (2021) |Ext. |
Reported Trait: Incident stroke | HR: 1.09 [1.04, 1.13] | — | — | Age at baseline, smoking status, history of diabetes, systolic blood pressure, total cholesterol, high-density lipoprotein cholesterol levels, stratified by study centre, sex | — |
| PPM021310 | PGS000018 (metaGRS_CAD) |
PSS011681| European Ancestry| 306,654 individuals |
PGP000628 | Sun L et al. PLoS Med (2021) |Ext. |
Reported Trait: Combination of incident coronary heart disease, stroke and cardiac revascularisation procedures | HR: 1.39 [1.36, 1.42] | — | — | Age at baseline, smoking status, history of diabetes, systolic blood pressure, total cholesterol, high-density lipoprotein cholesterol levels, stratified by study centre, sex | — |
| PPM021316 | PGS004899 (PRS_SCAD) |
PSS011682| Ancestry Not Reported| 412 individuals |
PGP000629 | Saw J et al. Nat Commun (2020) |
Reported Trait: Spontaneous coronary artery dissection | OR: 1.82 [1.09, 3.02] β: 0.597 (0.259) |
— | — | Age, sex | — |
| PPM021317 | PGS004899 (PRS_SCAD) |
PSS011685| European Ancestry| 373,056 individuals |
PGP000629 | Saw J et al. Nat Commun (2020) |
Reported Trait: Myocardial infarction | HR: 0.91 [0.89, 0.93] β: -0.094 (0.011) |
— | — | Age, sex, genotyping array and batch, PCs (1-4) | — |
| PPM021318 | PGS004899 (PRS_SCAD) |
PSS011685| European Ancestry| 373,056 individuals |
PGP000629 | Saw J et al. Nat Commun (2020) |
Reported Trait: Myocardial infarction in males | HR: 0.91 [0.89, 0.93] β: -0.092 (0.013) |
— | — | Age, genotyping array and batch, PCs (1-4) | — |
| PPM021319 | PGS004899 (PRS_SCAD) |
PSS011685| European Ancestry| 373,056 individuals |
PGP000629 | Saw J et al. Nat Commun (2020) |
Reported Trait: Myocaridal infarction in females | HR: 0.91 [0.87, 0.95] β: -0.099 (0.022) |
— | — | Age, genotyping array and batch, PCs (1-4) | — |
| PPM021320 | PGS004899 (PRS_SCAD) |
PSS011683| European Ancestry| 294,465 individuals |
PGP000629 | Saw J et al. Nat Commun (2020) |
Reported Trait: Coronary artery disease | β: -0.05 (0.004) OR: 0.95 [0.94, 0.96] |
— | — | Age (at the time of event in cases and at the time of last VA visit prior to August 2018 for controls), sex, PCs(1-10) | — |
| PPM021321 | PGS004899 (PRS_SCAD) |
PSS011683| European Ancestry| 294,465 individuals |
PGP000629 | Saw J et al. Nat Commun (2020) |
Reported Trait: Coronary artery disease in males | OR: 0.95 [0.94, 0.96] β: -0.05 (0.004) |
— | — | Age (at the time of event in cases and at the time of last VA visit prior to August 2018 for controls), PCs(1-10) | — |
| PPM021322 | PGS004899 (PRS_SCAD) |
PSS011684| European Ancestry| 314,434 individuals |
PGP000629 | Saw J et al. Nat Commun (2020) |
Reported Trait: Myocardial infarction | OR: 0.96 [0.95, 0.98] β: -0.04 (0.009) |
— | — | Age (at the time of event in cases and at the time of last VA visit prior to August 2018 for controls), sex, PCs(1-10) | — |
| PPM021323 | PGS004899 (PRS_SCAD) |
PSS011684| European Ancestry| 314,434 individuals |
PGP000629 | Saw J et al. Nat Commun (2020) |
Reported Trait: Myocardial infarction in males | OR: 0.96 [0.95, 0.98] β: -0.039 (0.009) |
— | — | Age (at the time of event in cases and at the time of last VA visit prior to August 2018 for controls), PCs(1-10) | — |
| PPM021334 | PGS000013 (GPS_CAD) |
PSS011689| European Ancestry| 5,453 individuals |
PGP000632 | Aday AW et al. Atherosclerosis (2023) |Ext. |
Reported Trait: Incident myocardial infarction or fatal coronary event | HR: 1.37 [1.26, 1.49] | C-index: 0.74 [0.71, 0.76] | — | Age, sex, 5 PCs, pooled cohort equations, high-sensitivity C-reactive protein | — |
| PPM021333 | PGS000013 (GPS_CAD) |
PSS011690| European Ancestry| 2,017 individuals |
PGP000632 | Aday AW et al. Atherosclerosis (2023) |Ext. |
Reported Trait: Incident myocardial infarction or fatal coronary event | HR: 1.38 [1.16, 1.63] | C-index: 0.74 [0.69, 0.77] | — | Age, sex, 5 PCs, pooled cohort equations, high-sensitivity C-reactive protein | — |
| PPM021385 | PGS004919 (CAD_GRS_50) |
PSS011720| Ancestry Not Reported| 23,594 individuals |
PGP000650 | Sjögren M et al. Int J Cardiol Heart Vasc (2019) |
Reported Trait: Number of hospitilizations for any cause | — | — | Incidence Rate Ratio (IRR, top vs bottom PGS quintiles): 1.1 |