| Trait Information | |
| Identifier | MONDO_0000473 |
| Description | An impairment of the structure or function of the blood vessels which carry blood away from the heart. [NCIT: C35317] | Trait categories |
Cardiovascular disease
Other disease
|
| Synonyms |
8 synonyms
|
| Child trait(s) | 12 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 disorder | 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 disorder | 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 disorder | 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 disorder | 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 disorder | 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 disorder | 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 disorder | 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 disorder | 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 disorder | 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 disorder | 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 disorder | 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 disorder | 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 disorder | 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 disorder | 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 disorder | 70 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000349/ScoringFiles/PGS000349.txt.gz |
| PGS000706 (HC215) |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Hypertension | hypertensive disorder | 186,726 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000706/ScoringFiles/PGS000706.txt.gz |
| PGS000746 (PRS_UKB) |
PGP000152 | Gola D et al. Circ Genom Precis Med (2020) |
Coronary artery disease | coronary artery disorder | 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 disorder | 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 disorder | 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 disorder | 1,056,021 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000749/ScoringFiles/PGS000749.txt.gz | |
| PGS000753 (PRS29_AAA) |
PGP000159 | Klarin D et al. Circulation (2020) |
Abdominal aortic aneurysm | abdominal aortic aneurysm | 29 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000753/ScoringFiles/PGS000753.txt.gz | |
| PGS000798 (157SNP_GRS) |
PGP000187 | Severance LM et al. J Cardiovasc Comput Tomogr (2019) |
Coronary heart disease | coronary artery disorder | 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 disorder | 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 disorder | 176 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000899/ScoringFiles/PGS000899.txt.gz |
| PGS000957 (GBE_HC932) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Essential (primary hypertension) (time-to-event) | essential hypertension | 11,276 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000957/ScoringFiles/PGS000957.txt.gz |
| PGS000958 (GBE_HC273) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Essential hypertension | essential hypertension | 9,400 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000958/ScoringFiles/PGS000958.txt.gz |
| PGS001025 (GBE_HC951) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Nonrheumatic aortic valve disorders (time-to-event) | aortic valve disorder | 36 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001025/ScoringFiles/PGS001025.txt.gz |
| PGS001277 (GBE_HC203) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
PE +/- DVT | deep vein thrombosis, pulmonary embolism |
96 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001277/ScoringFiles/PGS001277.txt.gz |
| PGS001278 (GBE_BIN_FC12006152) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
previously: Blood clot in the leg (DVT) or lung | deep vein thrombosis, pulmonary embolism |
551 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001278/ScoringFiles/PGS001278.txt.gz |
| PGS001279 (GBE_BIN_FC8006152) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
previously: Blood clot in the lung | deep vein thrombosis, pulmonary embolism |
94 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001279/ScoringFiles/PGS001279.txt.gz |
| PGS001280 (GBE_HC943) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
PE (time-to-event) | pulmonary embolism | 88 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001280/ScoringFiles/PGS001280.txt.gz |
| PGS001320 (GBE_HC215) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Hypertension | hypertensive disorder | 13,791 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001320/ScoringFiles/PGS001320.txt.gz |
| PGS001355 (CAD_AnnoPred_PRS) |
PGP000252 | Ye Y et al. Circ Genom Precis Med (2021) |
Coronary artery disease | coronary artery disorder | 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 disorder | 1,090,048 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001780/ScoringFiles/PGS001780.txt.gz |
| PGS001784 (1kgeur_gbmi_leaveUKBBout_AAA_pst_eff_a1_b0.5_phiauto) |
PGP000262 | Wang Y et al. Cell Genom (2023) |
Abdominal aortic aneurysm | abdominal aortic aneurysm | 911,440 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001784/ScoringFiles/PGS001784.txt.gz |
| PGS001838 (portability-PLR_401) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Hypertension | hypertensive disorder | 52,487 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001838/ScoringFiles/PGS001838.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 |
| PGS002047 (portability-ldpred2_401) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Hypertension | hypertensive disorder | 918,325 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002047/ScoringFiles/PGS002047.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 |
| PGS002054 (portability-ldpred2_442.11) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Abdominal aortic aneurysm | abdominal aortic aneurysm | 592,187 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002054/ScoringFiles/PGS002054.txt.gz |
| PGS002244 (ldpred_cad) |
PGP000271 | Mars N et al. Cell Genom (2022) |
Coronary artery disease | coronary artery disorder | 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 disorder | 540 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002262/ScoringFiles/PGS002262.txt.gz | |
| PGS002296 (PRS2166_HT) |
PGP000326 | Maj C et al. Front Cardiovasc Med (2022) |
Hypertension | hypertensive disorder | 2,166 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002296/ScoringFiles/PGS002296.txt.gz | |
| PGS002335 (disease_HYPERTENSION_DIAGNOSED.BOLT-LMM) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Hypertension | hypertensive disorder | 1,109,311 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002335/ScoringFiles/PGS002335.txt.gz |
| PGS002407 (disease_HYPERTENSION_DIAGNOSED.P+T.0.0001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Hypertension | hypertensive disorder | 6,693 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002407/ScoringFiles/PGS002407.txt.gz |
| PGS002456 (disease_HYPERTENSION_DIAGNOSED.P+T.0.001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Hypertension | hypertensive disorder | 22,539 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002456/ScoringFiles/PGS002456.txt.gz |
| PGS002505 (disease_HYPERTENSION_DIAGNOSED.P+T.0.01) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Hypertension | hypertensive disorder | 115,656 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002505/ScoringFiles/PGS002505.txt.gz |
| PGS002554 (disease_HYPERTENSION_DIAGNOSED.P+T.1e-06) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Hypertension | hypertensive disorder | 1,715 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002554/ScoringFiles/PGS002554.txt.gz |
| PGS002603 (disease_HYPERTENSION_DIAGNOSED.P+T.5e-08) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Hypertension | hypertensive disorder | 949 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002603/ScoringFiles/PGS002603.txt.gz |
| PGS002652 (disease_HYPERTENSION_DIAGNOSED.PolyFun-pred) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Hypertension | hypertensive disorder | 385,766 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002652/ScoringFiles/PGS002652.txt.gz |
| PGS002701 (disease_HYPERTENSION_DIAGNOSED.SBayesR) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Hypertension | hypertensive disorder | 973,782 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002701/ScoringFiles/PGS002701.txt.gz |
| PGS002765 (SBP_prscs) |
PGP000364 | Mars N et al. Am J Hum Genet (2022) |
Hypertension | hypertensive disorder | 1,077,894 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002765/ScoringFiles/PGS002765.txt.gz |
| PGS002775 (GTG_CAD_maxCT) |
PGP000365 | Wong CK et al. PLoS One (2022) |
Incident coronary artery disease | coronary artery disorder | 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 disorder | 390,782 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002776/ScoringFiles/PGS002776.txt.gz | |
| PGS002777 (GTG_Hypertension_maxCT) |
PGP000365 | Wong CK et al. PLoS One (2022) |
Incident hypertension | hypertensive disorder | 61,669 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002777/ScoringFiles/PGS002777.txt.gz | |
| PGS002778 (GTG_Hypertension_SCT) |
PGP000365 | Wong CK et al. PLoS One (2022) |
Incident hypertension | hypertensive disorder | 309,759 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002778/ScoringFiles/PGS002778.txt.gz | |
| PGS002809 (GRS_CAD) |
PGP000388 | Ahmed R et al. Int J Cardiol Heart Vasc (2022) |
Coronary artery disease | coronary artery disorder | 205 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002809/ScoringFiles/PGS002809.txt.gz |
| PGS002994 (ExPRSweb_Hypertension_20002-1065_LASSOSUM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Hypertension | hypertensive disorder | 724,579 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002994/ScoringFiles/PGS002994.txt.gz | |
| PGS002995 (ExPRSweb_Hypertension_20002-1065_PT_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Hypertension | hypertensive disorder | 26,671 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002995/ScoringFiles/PGS002995.txt.gz | |
| PGS002996 (ExPRSweb_Hypertension_20002-1065_PLINK_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Hypertension | hypertensive disorder | 25,909 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002996/ScoringFiles/PGS002996.txt.gz | |
| PGS002997 (ExPRSweb_Hypertension_20002-1065_DBSLMM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Hypertension | hypertensive disorder | 7,601,215 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002997/ScoringFiles/PGS002997.txt.gz | |
| PGS002998 (ExPRSweb_Hypertension_20002-1065_PRSCS_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Hypertension | hypertensive disorder | 1,113,832 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002998/ScoringFiles/PGS002998.txt.gz | |
| PGS002999 (ExPRSweb_Hypertension_20002-1072_LASSOSUM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Hypertension | hypertensive disorder | 313,080 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002999/ScoringFiles/PGS002999.txt.gz | |
| PGS003000 (ExPRSweb_Hypertension_20002-1072_PT_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Hypertension | hypertensive disorder | 83,829 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003000/ScoringFiles/PGS003000.txt.gz | |
| PGS003001 (ExPRSweb_Hypertension_20002-1072_PLINK_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Hypertension | hypertensive disorder | 81,218 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003001/ScoringFiles/PGS003001.txt.gz | |
| PGS003002 (ExPRSweb_Hypertension_20002-1072_DBSLMM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Hypertension | hypertensive disorder | 7,601,215 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003002/ScoringFiles/PGS003002.txt.gz | |
| PGS003003 (ExPRSweb_Hypertension_20002-1072_PRSCS_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Hypertension | hypertensive disorder | 1,109,030 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003003/ScoringFiles/PGS003003.txt.gz | |
| PGS003004 (ExPRSweb_Hypertension_finngen-R4-FG_LASSOSUM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Hypertension | hypertensive disorder | 4,943 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003004/ScoringFiles/PGS003004.txt.gz | |
| PGS003005 (ExPRSweb_Hypertension_finngen-R4-FG_PT_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Hypertension | hypertensive disorder | 2,860 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003005/ScoringFiles/PGS003005.txt.gz | |
| PGS003006 (ExPRSweb_Hypertension_finngen-R4-FG_PLINK_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Hypertension | hypertensive disorder | 5,212 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003006/ScoringFiles/PGS003006.txt.gz | |
| PGS003007 (ExPRSweb_Hypertension_finngen-R4-FG_DBSLMM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Hypertension | hypertensive disorder | 359 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003007/ScoringFiles/PGS003007.txt.gz | |
| PGS003008 (ExPRSweb_Hypertension_finngen-R4-FG_PRSCS_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Hypertension | hypertensive disorder | 12,076 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003008/ScoringFiles/PGS003008.txt.gz | |
| PGS003009 (ExPRSweb_Hypertension_finngen-R4-I9_LASSOSUM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Hypertension | hypertensive disorder | 5,226 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003009/ScoringFiles/PGS003009.txt.gz | |
| PGS003010 (ExPRSweb_Hypertension_finngen-R4-I9_PT_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Hypertension | hypertensive disorder | 1,894 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003010/ScoringFiles/PGS003010.txt.gz | |
| PGS003011 (ExPRSweb_Hypertension_finngen-R4-I9_PLINK_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Hypertension | hypertensive disorder | 3,300 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003011/ScoringFiles/PGS003011.txt.gz | |
| PGS003012 (ExPRSweb_Hypertension_finngen-R4-I9_DBSLMM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Hypertension | hypertensive disorder | 361 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003012/ScoringFiles/PGS003012.txt.gz | |
| PGS003013 (ExPRSweb_Hypertension_finngen-R4-I9_PRSCS_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Hypertension | hypertensive disorder | 12,076 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003013/ScoringFiles/PGS003013.txt.gz | |
| PGS003014 (ExPRSweb_Hypertension_I10_LASSOSUM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Hypertension | hypertensive disorder | 294,142 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003014/ScoringFiles/PGS003014.txt.gz | |
| PGS003015 (ExPRSweb_Hypertension_I10_PT_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Hypertension | hypertensive disorder | 58,725 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003015/ScoringFiles/PGS003015.txt.gz | |
| PGS003016 (ExPRSweb_Hypertension_I10_PLINK_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Hypertension | hypertensive disorder | 56,978 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003016/ScoringFiles/PGS003016.txt.gz | |
| PGS003017 (ExPRSweb_Hypertension_I10_DBSLMM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Hypertension | hypertensive disorder | 7,094,727 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003017/ScoringFiles/PGS003017.txt.gz | |
| PGS003018 (ExPRSweb_Hypertension_I10_PRSCS_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Hypertension | hypertensive disorder | 1,096,197 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003018/ScoringFiles/PGS003018.txt.gz | |
| PGS003019 (ExPRSweb_Hypertension_finngen-R4-FG_LASSOSUM_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Hypertension | hypertensive disorder | 6,731 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003019/ScoringFiles/PGS003019.txt.gz | |
| PGS003020 (ExPRSweb_Hypertension_finngen-R4-FG_PT_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Hypertension | hypertensive disorder | 24 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003020/ScoringFiles/PGS003020.txt.gz | |
| PGS003021 (ExPRSweb_Hypertension_finngen-R4-FG_PLINK_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Hypertension | hypertensive disorder | 24 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003021/ScoringFiles/PGS003021.txt.gz | |
| PGS003022 (ExPRSweb_Hypertension_finngen-R4-FG_DBSLMM_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Hypertension | hypertensive disorder | 56 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003022/ScoringFiles/PGS003022.txt.gz | |
| PGS003023 (ExPRSweb_Hypertension_finngen-R4-FG_PRSCS_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Hypertension | hypertensive disorder | 12,097 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003023/ScoringFiles/PGS003023.txt.gz | |
| PGS003024 (ExPRSweb_Hypertension_finngen-R4-I9_LASSOSUM_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Hypertension | hypertensive disorder | 7,123 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003024/ScoringFiles/PGS003024.txt.gz | |
| PGS003025 (ExPRSweb_Hypertension_finngen-R4-I9_PT_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Hypertension | hypertensive disorder | 9 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003025/ScoringFiles/PGS003025.txt.gz | |
| PGS003026 (ExPRSweb_Hypertension_finngen-R4-I9_PLINK_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Hypertension | hypertensive disorder | 9 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003026/ScoringFiles/PGS003026.txt.gz | |
| PGS003027 (ExPRSweb_Hypertension_finngen-R4-I9_DBSLMM_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Hypertension | hypertensive disorder | 59 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003027/ScoringFiles/PGS003027.txt.gz | |
| PGS003028 (ExPRSweb_Hypertension_finngen-R4-I9_PRSCS_UKB_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Hypertension | hypertensive disorder | 12,097 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003028/ScoringFiles/PGS003028.txt.gz | |
| PGS003355 (1MH_CAD_PRS_2015_Ldpred) |
PGP000409 | Aragam KG et al. Nat Genet (2022) |
Coronary artery disease | coronary artery disorder | 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 disorder | 2,324,683 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003356/ScoringFiles/PGS003356.txt.gz |
| PGS003429 (AAA) |
PGP000436 | Kelemen M et al. Nat Commun (2024) |
Abdominal aortic aneurysm | abdominal aortic aneurysm | 831,447 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003429/ScoringFiles/PGS003429.txt.gz |
| PGS003438 (PRS241_CAD) |
PGP000440 | Marston NA et al. JAMA Cardiol (2023) |
Coronary artery disease | coronary artery disorder | 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 disorder | 538,084 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003446/ScoringFiles/PGS003446.txt.gz |
| PGS003586 (PE) |
PGP000462 | Honigberg MC et al. Nat Med (2023) |
Pre-eclampsia | preeclampsia | 1,087,033 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003586/ScoringFiles/PGS003586.txt.gz | |
| PGS003587 (GH) |
PGP000462 | Honigberg MC et al. Nat Med (2023) |
Gestational hypertension | preeclampsia | 1,087,916 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003587/ScoringFiles/PGS003587.txt.gz | |
| PGS003725 (GPS_Mult) |
PGP000466 | Patel AP et al. Nat Med (2023) |
Coronary artery disease | coronary artery disorder | 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 disorder | 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 disorder | 1,125,113 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003727/ScoringFiles/PGS003727.txt.gz | |
| PGS003861 (PRS288_PE) |
PGP000499 | Zhang Z et al. BMC Med (2023) |
Pulmonary embolism | pulmonary embolism | 288 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003861/ScoringFiles/PGS003861.txt.gz |
| PGS003866 (CAD_lassosum2_ARB) |
PGP000501 | Shim I et al. Nature Communications (2023) |
Coronary artery disease | coronary artery disorder | 10,440 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003866/ScoringFiles/PGS003866.txt.gz |
| PGS003972 (PRSAAA) |
PGP000513 | Roychowdhury T et al. Nat Genet (2023) |
Abdominal aortic aneurysm | abdominal aortic aneurysm | 1,118,997 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003972/ScoringFiles/PGS003972.txt.gz |
| PGS003973 (PRSAAA_woUKB) |
PGP000513 | Roychowdhury T et al. Nat Genet (2023) |
Abdominal aortic aneurysm | abdominal aortic aneurysm | 1,118,997 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003973/ScoringFiles/PGS003973.txt.gz |
| PGS004191 (hyper_1) |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Hypertension | hypertensive disorder | 23,280 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004191/ScoringFiles/PGS004191.txt.gz |
| PGS004192 (hyper_2) |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Hypertension | hypertensive disorder | 9,430 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004192/ScoringFiles/PGS004192.txt.gz |
| PGS004193 (hyper_3) |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Hypertension | hypertensive disorder | 18,580 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004193/ScoringFiles/PGS004193.txt.gz |
| PGS004194 (hyper_4) |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Hypertension | hypertensive disorder | 14,063 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004194/ScoringFiles/PGS004194.txt.gz |
| PGS004195 (hyper_5) |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Hypertension | hypertensive disorder | 2,755 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004195/ScoringFiles/PGS004195.txt.gz |
| PGS004196 (cad_1) |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Coronary artery disease | coronary artery disorder | 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 disorder | 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 disorder | 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 disorder | 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 disorder | 8,361 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004200/ScoringFiles/PGS004200.txt.gz |
| PGS004234 (HTN_PAN-UKBB) |
PGP000531 | Kurniansyah N et al. Nat Commun (2022) |
Hypertension | hypertensive disorder | 234,228 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004234/ScoringFiles/PGS004234.txt.gz | |
| PGS004236 (HTN_Unweighted_PRSsum) |
PGP000531 | Kurniansyah N et al. Nat Commun (2022) |
Hypertension | hypertensive disorder | 398,805 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004236/ScoringFiles/PGS004236.txt.gz | |
| PGS004237 (CAD_PRS_LDpred_UKB_Pub1) |
PGP000532 | Manikpurage HD et al. Circ Genom Precis Med (2021) |
Coronary Artery Disease | coronary artery disorder | 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 disorder | 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 disorder | 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 disorder | 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 disorder | 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 disorder | 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 disorder | 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 disorder | 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 disorder | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004444/ScoringFiles/PGS004444.txt.gz |
| PGS004455 (disease.Hypertension.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Hypertension | hypertensive disorder | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004455/ScoringFiles/PGS004455.txt.gz |
| PGS004456 (disease.I10.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
I10 (Essential (primary) hypertension) | essential hypertension | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004456/ScoringFiles/PGS004456.txt.gz |
| PGS004460 (disease.I26.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
I26 (Pulmonary embolism) | pulmonary embolism | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004460/ScoringFiles/PGS004460.txt.gz |
| PGS004513 (meta.CAD.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Coronary artery disease (CAD) | coronary artery disorder | 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 disorder | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004514/ScoringFiles/PGS004514.txt.gz |
| PGS004525 (meta.Hypertension.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
Hypertension | hypertensive disorder | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004525/ScoringFiles/PGS004525.txt.gz |
| PGS004526 (meta.I10.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
I10 (Essential (primary) hypertension) | essential hypertension | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004526/ScoringFiles/PGS004526.txt.gz |
| PGS004530 (meta.I26.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
I26 (Pulmonary embolism) | pulmonary embolism | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004530/ScoringFiles/PGS004530.txt.gz |
| PGS004593 (pe) |
PGP000574 | Nurkkala J et al. J Hypertens (2022) |
Preeclampsia | preeclampsia | 1,102,059 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004593/ScoringFiles/PGS004593.txt.gz |
| PGS004595 (PRS_CHD) |
PGP000575 | Oni-Orisan A et al. Clin Pharmacol Ther (2022) |
Coronary heart disease | coronary artery disorder | 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 disorder | 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 disorder | 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 disorder | 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 disorder | 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 disorder | 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 disorder | 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 disorder | 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 disorder | 6,483,064 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004746/ScoringFiles/PGS004746.txt.gz |
| PGS004785 (HTN_PRSmix_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Hypertension | hypertensive disorder | 1,170,615 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004785/ScoringFiles/PGS004785.txt.gz |
| PGS004786 (HTN_PRSmix_sas) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Hypertension | hypertensive disorder | 6,622,611 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004786/ScoringFiles/PGS004786.txt.gz |
| PGS004787 (HTN_PRSmixPlus_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Hypertension | hypertensive disorder | 5,191,115 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004787/ScoringFiles/PGS004787.txt.gz |
| PGS004788 (HTN_PRSmixPlus_sas) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Hypertension | hypertensive disorder | 6,622,611 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004788/ScoringFiles/PGS004788.txt.gz |
| PGS004879 (INTERVENE_MegaPRS_CHD) |
PGP000618 | Jermy B et al. Nat Commun (2024) |
Coronary heart disease | coronary artery disorder | 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 disorder | 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 |
| PGS004921 (CAD-GRS) |
PGP000654 | Huang Y et al. Circ Genom Precis Med (2020) |
Coronary artery disease | coronary artery disorder | 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 disorder | 300 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004925/ScoringFiles/PGS004925.txt.gz |
| PGS004934 (hypertension_snpnet_combined) |
PGP000665 | Moreno-Grau S et al. Human Genomics (2024) |
Hypertension | hypertensive disorder | 15,056 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004934/ScoringFiles/PGS004934.txt.gz |
| PGS004941 (CAD_MetaPRS) |
PGP000668 | China Kadoorie Biobank Collaborative Group. et al. Nat Hum Behav (2024) |
Coronary artery disease | coronary artery disorder | 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 disorder | 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 disorder | 1,279,502 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005092/ScoringFiles/PGS005092.txt.gz |
| PGS005093 (MetPRS) |
PGP000685 | Yang X et al. Nat Commun (2026) |
Coronary artery disease | coronary artery disorder | 4,595 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005093/ScoringFiles/PGS005093.txt.gz |
| PGS005094 (ProPRS) |
PGP000685 | Yang X et al. Nat Commun (2026) |
Coronary artery disease | coronary artery disorder | 5,249 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005094/ScoringFiles/PGS005094.txt.gz |
| PGS005112 (PGS_CAD) |
PGP000701 | Loesch DP et al. Nat Commun (2025) |
Coronary artery disease | coronary artery disorder | 1,106,628 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005112/ScoringFiles/PGS005112.txt.gz |
| PGS005143 (Coronary artery disease (PRS-CS; EAS)) |
PGP000704 | Jung HU et al. Commun Biol (2025) |
Coronary artery disease | coronary artery disorder | 943,274 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005143/ScoringFiles/PGS005143.txt.gz |
| PGS005144 (Hypertension (PRS-CS; EAS)) |
PGP000704 | Jung HU et al. Commun Biol (2025) |
Hypertension | hypertensive disorder | 908,466 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005144/ScoringFiles/PGS005144.txt.gz |
| PGS005152 (Coronary artery disease (PRS-CSx; EAS+EUR)) |
PGP000704 | Jung HU et al. Commun Biol (2025) |
Coronary artery disease | coronary artery disorder | 943,274 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005152/ScoringFiles/PGS005152.txt.gz |
| PGS005153 (Hypertension (CT-SLEB; EAS+EUR)) |
PGP000704 | Jung HU et al. Commun Biol (2025) |
Hypertension | hypertensive disorder | 492,555 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005153/ScoringFiles/PGS005153.txt.gz |
| PGS005158 (PRS19_PAD) |
PGP000705 | Zhu K et al. Diabetes Care (2024) |
Peripheral artery disease | peripheral arterial disease | 19 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005158/ScoringFiles/PGS005158.txt.gz |
| PGS005217 (PRS_PAD) |
PGP000732 | Flores AM et al. JAMA Cardiol (2025) |
Peripheral artery disease | peripheral arterial disease | 1,296,292 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005217/ScoringFiles/PGS005217.txt.gz | |
| PGS005231 (GRS142_CAD) |
PGP000738 | Severance LM et al. JACC Cardiovasc Imaging (2021) |
Coronary artery disease | coronary artery disorder | 142 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005231/ScoringFiles/PGS005231.txt.gz |
| PGS005236 (CAD_AnnoPred) |
PGP000740 | Hu J et al. PLoS Comput Biol (2025) |
Coronary artery disease | coronary artery disorder | 2,994,055 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005236/ScoringFiles/PGS005236.txt.gz | |
| PGS005252 (IAVGC_AS_PRS) |
PGP000745 | Small AM et al. Nat Genet (2025) |
Aortic stenosis | aortic stenosis | 1,119,377 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005252/ScoringFiles/PGS005252.txt.gz |
| PGS005254 (aortic_stenosis) |
PGP000747 | Kany S et al. Nat Genet (2025) |
Aortic stenosis | aortic stenosis | 1,110,912 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005254/ScoringFiles/PGS005254.txt.gz |
| PGS005255 (mean_gradient) |
PGP000747 | Kany S et al. Nat Genet (2025) |
Mean pressure gradient | aortic stenosis, aortic measurement |
1,111,632 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005255/ScoringFiles/PGS005255.txt.gz |
| PGS005256 (peak_velocity) |
PGP000747 | Kany S et al. Nat Genet (2025) |
Peak aortic velocity | aortic stenosis, aortic measurement |
1,111,632 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005256/ScoringFiles/PGS005256.txt.gz |
| PGS005293 (Jorda_CAD_MTAG-PGS_2024) |
PGP000759 | Jordà P et al. NPJ Genom Med (2025) |
Coronary artery disease | coronary artery disorder | 1,003,984 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005293/ScoringFiles/PGS005293.txt.gz | |
| PGS005294 (Jorda_CAD_MTAG-PGS_females_2024) |
PGP000759 | Jordà P et al. NPJ Genom Med (2025) |
Coronary artery disease | coronary artery disorder | 1,003,984 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005294/ScoringFiles/PGS005294.txt.gz | |
| PGS005295 (Jorda_CAD_MTAG-PGS_males_2024) |
PGP000759 | Jordà P et al. NPJ Genom Med (2025) |
Coronary artery disease | coronary artery disorder | 1,003,984 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005295/ScoringFiles/PGS005295.txt.gz | |
| PGS005296 (Jorda_CAD_SingleTrait-PGS_2024) |
PGP000759 | Jordà P et al. NPJ Genom Med (2025) |
Coronary artery disease | coronary artery disorder | 1,042,395 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005296/ScoringFiles/PGS005296.txt.gz | |
| PGS005297 (Jorda_CAD_SingleTrait-PGS_females_2024) |
PGP000759 | Jordà P et al. NPJ Genom Med (2025) |
Coronary artery disease | coronary artery disorder | 1,042,395 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005297/ScoringFiles/PGS005297.txt.gz | |
| PGS005298 (Jorda_CAD_SingleTrait-PGS_males_2024) |
PGP000759 | Jordà P et al. NPJ Genom Med (2025) |
Coronary artery disease | coronary artery disorder | 1,042,395 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005298/ScoringFiles/PGS005298.txt.gz | |
| PGS005322 (PRS_EC) |
PGP000768 | Marston NA et al. Nat Med (2025) |
Coronary artery disease (Endothelial cell-related) | coronary artery disorder | 36 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005322/ScoringFiles/PGS005322.txt.gz |
| PGS012530 (PRSCAD+) |
PGP000787 | Wang H et al. Genomics Proteomics Bioinformatics (2026) |
Coronary artery disease | coronary artery disorder | 1,083,724 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS012530/ScoringFiles/PGS012530.txt.gz | |
| PGS012542 (EN_model_CAD) |
PGP000790 | Hu J et al. Genet Med (2026) |
Coronary artery disease | coronary artery disorder | 969,769 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS012542/ScoringFiles/PGS012542.txt.gz | |
| PGS012546 (EN_model_PAD) |
PGP000790 | Hu J et al. Genet Med (2026) |
Peripheral arterial disease | peripheral arterial disease | 969,771 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS012546/ScoringFiles/PGS012546.txt.gz | |
| PGS012558 (CAD_EAS_MIXPRSplus) |
PGP000799 | Xu L et al. Nat Genet (2026) |
Coronary artery disease | coronary artery disorder | 786,215 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS012558/ScoringFiles/PGS012558.txt.gz |
| PGS012563 (PRS31_AAA) |
PGP000803 | Ma Y et al. Eur Heart J (2024) |
Abdominal aortic aneurysm | abdominal aortic aneurysm | 31 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS012563/ScoringFiles/PGS012563.txt.gz |
| PGS012581 (PRS169_CAD) |
PGP000814 | Zheng J et al. J Intern Med (2024) |
Coronary artery disease | coronary artery disorder | 169 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS012581/ScoringFiles/PGS012581.txt.gz |
| PGS018408 (MultiPRS_coronary-heart-disease) |
PGP000826 | Ometto S et al. Nat Commun (2026) |
Coronary heart disease | coronary artery disorder | 1,105,536 | - - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS018408/ScoringFiles/PGS018408.txt.gz |
| PGS019132 (TPMI_401.1_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Essential hypertension | essential hypertension | 41,812 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019132/ScoringFiles/PGS019132.txt.gz | |
| PGS019133 (TPMI_401.1_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Essential hypertension | essential hypertension | 939,820 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019133/ScoringFiles/PGS019133.txt.gz | |
| PGS019134 (TPMI_401.1_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Essential hypertension | essential hypertension | 131,984 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019134/ScoringFiles/PGS019134.txt.gz | |
| PGS019135 (TPMI_401.1_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Essential hypertension | essential hypertension | 983,772 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019135/ScoringFiles/PGS019135.txt.gz | |
| PGS019136 (TPMI_401.1_PRSmix+) |
PGP000835 | Chen HH et al. Nature (2025) |
Essential hypertension | essential hypertension | 1,071,467 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019136/ScoringFiles/PGS019136.txt.gz | |
| PGS019137 (TPMI_401.1_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Essential hypertension | essential hypertension | 1,004,286 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019137/ScoringFiles/PGS019137.txt.gz | |
| PGS019144 (TPMI_401.3_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Other hypertensive complications | hypertensive disorder | 35,755 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019144/ScoringFiles/PGS019144.txt.gz | |
| PGS019145 (TPMI_401.3_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Other hypertensive complications | hypertensive disorder | 939,864 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019145/ScoringFiles/PGS019145.txt.gz | |
| PGS019146 (TPMI_401.3_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Other hypertensive complications | hypertensive disorder | 84,636 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019146/ScoringFiles/PGS019146.txt.gz | |
| PGS019147 (TPMI_401.3_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Other hypertensive complications | hypertensive disorder | 983,809 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019147/ScoringFiles/PGS019147.txt.gz | |
| PGS019148 (TPMI_401.3_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Other hypertensive complications | hypertensive disorder | 442,448 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019148/ScoringFiles/PGS019148.txt.gz | |
| PGS019165 (TPMI_411.4_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Coronary atherosclerosis | coronary atherosclerosis | 18,489 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019165/ScoringFiles/PGS019165.txt.gz | |
| PGS019166 (TPMI_411.4_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Coronary atherosclerosis | coronary atherosclerosis | 939,870 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019166/ScoringFiles/PGS019166.txt.gz | |
| PGS019167 (TPMI_411.4_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Coronary atherosclerosis | coronary atherosclerosis | 31,979 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019167/ScoringFiles/PGS019167.txt.gz | |
| PGS019168 (TPMI_411.4_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Coronary atherosclerosis | coronary atherosclerosis | 983,811 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019168/ScoringFiles/PGS019168.txt.gz | |
| PGS019169 (TPMI_411.4_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Coronary atherosclerosis | coronary atherosclerosis | 941,902 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019169/ScoringFiles/PGS019169.txt.gz | |
| PGS019230 (TPMI_433.2_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Occlusion of cerebral arteries | cerebral artery occlusion | 562,676 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019230/ScoringFiles/PGS019230.txt.gz | |
| PGS019231 (TPMI_433.2_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Occlusion of cerebral arteries | cerebral artery occlusion | 939,882 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019231/ScoringFiles/PGS019231.txt.gz | |
| PGS019232 (TPMI_433.2_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Occlusion of cerebral arteries | cerebral artery occlusion | 33,950 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019232/ScoringFiles/PGS019232.txt.gz | |
| PGS019233 (TPMI_433.2_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Occlusion of cerebral arteries | cerebral artery occlusion | 983,818 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019233/ScoringFiles/PGS019233.txt.gz | |
| PGS019234 (TPMI_433.2_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Occlusion of cerebral arteries | cerebral artery occlusion | 969,384 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019234/ScoringFiles/PGS019234.txt.gz | |
| PGS019250 (TPMI_433.21_Lassosum2) |
PGP000835 | Chen HH et al. Nature (2025) |
Cerebral artery occlusion with cerebral infarction | cerebral artery occlusion | 48,064 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019250/ScoringFiles/PGS019250.txt.gz | |
| PGS019251 (TPMI_433.21_LDpred2) |
PGP000835 | Chen HH et al. Nature (2025) |
Cerebral artery occlusion with cerebral infarction | cerebral artery occlusion | 939,870 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019251/ScoringFiles/PGS019251.txt.gz | |
| PGS019252 (TPMI_433.21_MegaPRS) |
PGP000835 | Chen HH et al. Nature (2025) |
Cerebral artery occlusion with cerebral infarction | cerebral artery occlusion | 23,452 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019252/ScoringFiles/PGS019252.txt.gz | |
| PGS019253 (TPMI_433.21_PRS-CS) |
PGP000835 | Chen HH et al. Nature (2025) |
Cerebral artery occlusion with cerebral infarction | cerebral artery occlusion | 983,812 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019253/ScoringFiles/PGS019253.txt.gz | |
| PGS019254 (TPMI_433.21_SBayesR) |
PGP000835 | Chen HH et al. Nature (2025) |
Cerebral artery occlusion with cerebral infarction | cerebral artery occlusion | 976,798 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS019254/ScoringFiles/PGS019254.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 | — |
| 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 |
| 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 | — |
| PPM000383 | PGS000013 (GPS_CAD) |
PSS000219| European Ancestry| 11,010 individuals |
PGP000057 | Homburger JR et al. Genome Med (2019) |Ext. |
Reported Trait: Coronary artery disease (personal history) | OR: 1.589 [1.32, 1.92] | AUROC: 0.86 | — | age, sex | — |
| PPM000402 | PGS000013 (GPS_CAD) |
PSS000227| Additional Asian Ancestries| 544 individuals |
PGP000060 | Khera AV et al. Circulation (2019) |Ext. |
Reported Trait: Early-onset mycardial infarction (age ≤55 years) | OR: 2.16 [1.35, 1.59] | — | Odds Ratio (OR; top 5% vs. rest): 3.33 [0.82, 13.51] | 4 genetic PCs | — |
| PPM000401 | PGS000013 (GPS_CAD) |
PSS000229| Hispanic or Latin American Ancestry| 919 individuals |
PGP000060 | Khera AV et al. Circulation (2019) |Ext. |
Reported Trait: Early-onset mycardial infarction (age ≤55 years) | OR: 1.56 [1.29, 1.88] | — | Odds Ratio (OR; top 5% vs. rest): 3.38 [2.03, 5.64] | 4 genetic PCs | — |
| PPM000400 | PGS000013 (GPS_CAD) |
PSS000228| African Ancestry| 1,298 individuals |
PGP000060 | Khera AV et al. Circulation (2019) |Ext. |
Reported Trait: Early-onset mycardial infarction (age ≤55 years) | OR: 1.46 [1.28, 1.66] | — | Odds Ratio (OR; top 5% vs. rest): 2.02 [1.29, 3.16] | 4 genetic PCs | — |
| PPM000399 | PGS000013 (GPS_CAD) |
PSS000230| European Ancestry| 3,081 individuals |
PGP000060 | Khera AV et al. Circulation (2019) |Ext. |
Reported Trait: Early-onset mycardial infarction (age ≤55 years) | OR: 2.06 [1.89, 2.25] | — | Odds Ratio (OR; top 5% vs. rest): 5.09 [3.82, 6.78] | 4 genetic PCs | — |
| 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] | — | — | — |
| PPM001598 | PGS000706 (HC215) |
PSS000822| European Ancestry| 87,413 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Hypertension | — | AUROC: 0.623 | — | Age, sex, PCs(1-10) | — |
| 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 |
| PPM001912 | PGS000753 (PRS29_AAA) |
PSS000958| European Ancestry| 46,564 individuals |
PGP000159 | Klarin D et al. Circulation (2020) |
Reported Trait: Prevalent abdominal aortic aneurysm | OR: 1.37 [1.3, 1.44] | — | — | Age, sex, PCs (1-5) | — |
| PPM001913 | PGS000753 (PRS29_AAA) |
PSS000956| African Ancestry| 47,098 individuals |
PGP000159 | Klarin D et al. Circulation (2020) |
Reported Trait: Prevalent abdominal aortic aneurysm | OR: 1.15 [1.07, 1.24] | — | — | Age, sex, PCs (1-5) | — |
| PPM001915 | PGS000753 (PRS29_AAA) |
PSS000959| European Ancestry| 10,231 individuals |
PGP000159 | Klarin D et al. Circulation (2020) |
Reported Trait: Prevalent abdominal aortic aneurysm | OR: 1.31 [1.18, 1.46] | — | — | Age, sex, PCs (1-5) | — |
| PPM001917 | PGS000753 (PRS29_AAA) |
PSS000956| African Ancestry| 47,098 individuals |
PGP000159 | Klarin D et al. Circulation (2020) |
Reported Trait: Prevalent abdominal aortic aneurysm | OR: 1.13 [1.04, 1.22] | — | — | Age, sex, PCs (1-5), smoking, hypertension, low-density lipoprotein cholesterol with statin adjustment, high-density lipoprotein cholesterol, triglycerides, coronary artery disease as a marker of atherosclerosis burden. | — |
| PPM001918 | PGS000753 (PRS29_AAA) |
PSS000957| European Ancestry| 9,525 individuals |
PGP000159 | Klarin D et al. Circulation (2020) |
Reported Trait: Prevalent abdominal aortic aneurysm | OR: 1.58 [1.25, 1.98] | — | — | Age, sex, PCs (1-5), smoking, hypertension, low-density lipoprotein cholesterol with statin adjustment, high-density lipoprotein cholesterol, triglycerides, coronary artery disease as a marker of atherosclerosis burden. | — |
| PPM001914 | PGS000753 (PRS29_AAA) |
PSS000957| European Ancestry| 9,525 individuals |
PGP000159 | Klarin D et al. Circulation (2020) |
Reported Trait: Prevalent abdominal aortic aneurysm | OR: 2.46 [1.46, 4.14] | — | — | Age, sex, PCs (1-5) | — |
| PPM001916 | PGS000753 (PRS29_AAA) |
PSS000958| European Ancestry| 46,564 individuals |
PGP000159 | Klarin D et al. Circulation (2020) |
Reported Trait: Prevalent abdominal aortic aneurysm | OR: 1.34 [1.27, 1.41] | — | — | Age, sex, PCs (1-5), smoking, hypertension, low-density lipoprotein cholesterol with statin adjustment, high-density lipoprotein cholesterol, triglycerides, coronary artery disease as a marker of atherosclerosis burden. | — |
| 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] | — | — | — | — |
| PPM007609 | PGS000957 (GBE_HC932) |
PSS004711| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE essential (primary hypertension) | — | AUROC: 0.71865 [0.70527, 0.73203] | R²: 0.17042 Incremental AUROC (full-covars): -0.00133 PGS R2 (no covariates): 0.00389 PGS AUROC (no covariates): 0.53092 [0.51597, 0.54587] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007610 | PGS000957 (GBE_HC932) |
PSS004712| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE essential (primary hypertension) | — | AUROC: 0.7519 [0.72118, 0.78262] | R²: 0.18828 Incremental AUROC (full-covars): 0.01726 PGS R2 (no covariates): 0.02831 PGS AUROC (no covariates): 0.59059 [0.55566, 0.62552] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007611 | PGS000957 (GBE_HC932) |
PSS004713| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE essential (primary hypertension) | — | AUROC: 0.74724 [0.74015, 0.75433] | R²: 0.19436 Incremental AUROC (full-covars): 0.02015 PGS R2 (no covariates): 0.03223 PGS AUROC (no covariates): 0.60027 [0.59183, 0.6087] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007612 | PGS000957 (GBE_HC932) |
PSS004714| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE essential (primary hypertension) | — | AUROC: 0.73072 [0.71892, 0.74253] | R²: 0.19598 Incremental AUROC (full-covars): 0.00857 PGS R2 (no covariates): 0.01913 PGS AUROC (no covariates): 0.56924 [0.55569, 0.58279] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007613 | PGS000957 (GBE_HC932) |
PSS004715| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE essential (primary hypertension) | — | AUROC: 0.72352 [0.71925, 0.72779] | R²: 0.16706 Incremental AUROC (full-covars): 0.02959 PGS R2 (no covariates): 0.04055 PGS AUROC (no covariates): 0.60837 [0.60349, 0.61326] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007614 | PGS000958 (GBE_HC273) |
PSS004403| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Essential hypertension | — | AUROC: 0.72155 [0.708, 0.7351] | R²: 0.17503 Incremental AUROC (full-covars): -0.00192 PGS R2 (no covariates): 0.00286 PGS AUROC (no covariates): 0.52821 [0.51311, 0.54331] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007615 | PGS000958 (GBE_HC273) |
PSS004404| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Essential hypertension | — | AUROC: 0.74478 [0.71204, 0.77751] | R²: 0.16987 Incremental AUROC (full-covars): 0.01358 PGS R2 (no covariates): 0.01557 PGS AUROC (no covariates): 0.56972 [0.5318, 0.60763] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007616 | PGS000958 (GBE_HC273) |
PSS004405| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Essential hypertension | — | AUROC: 0.74583 [0.73846, 0.75319] | R²: 0.1847 Incremental AUROC (full-covars): 0.01683 PGS R2 (no covariates): 0.02709 PGS AUROC (no covariates): 0.59474 [0.58596, 0.60351] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007617 | PGS000958 (GBE_HC273) |
PSS004406| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Essential hypertension | — | AUROC: 0.73161 [0.71966, 0.74357] | R²: 0.19538 Incremental AUROC (full-covars): 0.00693 PGS R2 (no covariates): 0.01804 PGS AUROC (no covariates): 0.56789 [0.55414, 0.58165] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007618 | PGS000958 (GBE_HC273) |
PSS004407| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Essential hypertension | — | AUROC: 0.72364 [0.71923, 0.72805] | R²: 0.16114 Incremental AUROC (full-covars): 0.02564 PGS R2 (no covariates): 0.03436 PGS AUROC (no covariates): 0.60148 [0.5964, 0.60656] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007888 | PGS001025 (GBE_HC951) |
PSS004736| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE nonrheumatic aortic valve disorders | — | AUROC: 0.82312 [0.77164, 0.87459] | R²: 0.11205 Incremental AUROC (full-covars): -0.00433 PGS R2 (no covariates): 0.00601 PGS AUROC (no covariates): 0.42408 [0.32798, 0.52019] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007889 | PGS001025 (GBE_HC951) |
PSS004737| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE nonrheumatic aortic valve disorders | — | AUROC: 0.85035 [0.70276, 0.99795] | R²: 0.20912 Incremental AUROC (full-covars): 0.0036 PGS R2 (no covariates): 0.00383 PGS AUROC (no covariates): 0.57568 [0.385, 0.76636] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007890 | PGS001025 (GBE_HC951) |
PSS004738| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE nonrheumatic aortic valve disorders | — | AUROC: 0.7688 [0.74115, 0.79645] | R²: 0.09382 Incremental AUROC (full-covars): 0.00229 PGS R2 (no covariates): 0.00416 PGS AUROC (no covariates): 0.55883 [0.52408, 0.59358] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007891 | PGS001025 (GBE_HC951) |
PSS004739| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE nonrheumatic aortic valve disorders | — | AUROC: 0.7872 [0.73952, 0.83487] | R²: 0.10086 Incremental AUROC (full-covars): 2e-05 PGS R2 (no covariates): 0.00021 PGS AUROC (no covariates): 0.49071 [0.41731, 0.5641] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007892 | PGS001025 (GBE_HC951) |
PSS004740| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE nonrheumatic aortic valve disorders | — | AUROC: 0.72257 [0.70467, 0.74046] | R²: 0.05934 Incremental AUROC (full-covars): 0.00304 PGS R2 (no covariates): 0.00268 PGS AUROC (no covariates): 0.5466 [0.52408, 0.56913] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008883 | PGS001277 (GBE_HC203) |
PSS004344| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: PE +/- DVT | — | AUROC: 0.65081 [0.59936, 0.70226] | R²: 0.03099 Incremental AUROC (full-covars): 0.01 PGS R2 (no covariates): 0.00418 PGS AUROC (no covariates): 0.55179 [0.49456, 0.60901] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008884 | PGS001277 (GBE_HC203) |
PSS004345| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: PE +/- DVT | — | AUROC: 0.8083 [0.66236, 0.95424] | R²: 0.12334 Incremental AUROC (full-covars): -0.0014 PGS R2 (no covariates): 0.0 PGS AUROC (no covariates): 0.51341 [0.35575, 0.67107] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008885 | PGS001277 (GBE_HC203) |
PSS004346| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: PE +/- DVT | — | AUROC: 0.67497 [0.64702, 0.70293] | R²: 0.03998 Incremental AUROC (full-covars): 0.03149 PGS R2 (no covariates): 0.01508 PGS AUROC (no covariates): 0.61144 [0.58149, 0.6414] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008886 | PGS001277 (GBE_HC203) |
PSS004347| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: PE +/- DVT | — | AUROC: 0.69135 [0.62082, 0.76187] | R²: 0.03814 Incremental AUROC (full-covars): 0.03509 PGS R2 (no covariates): 0.01582 PGS AUROC (no covariates): 0.63463 [0.5672, 0.70206] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008887 | PGS001277 (GBE_HC203) |
PSS004348| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: PE +/- DVT | — | AUROC: 0.64659 [0.63085, 0.66233] | R²: 0.02867 Incremental AUROC (full-covars): 0.03414 PGS R2 (no covariates): 0.0129 PGS AUROC (no covariates): 0.59812 [0.58116, 0.61507] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008888 | PGS001278 (GBE_BIN_FC12006152) |
PSS003795| African Ancestry| 6,348 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Blood clot in the leg (DVT) or lung | — | AUROC: 0.59279 [0.55016, 0.63542] | R²: 0.01242 Incremental AUROC (full-covars): -0.00635 PGS R2 (no covariates): 0.00013 PGS AUROC (no covariates): 0.5015 [0.45729, 0.5457] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008889 | PGS001278 (GBE_BIN_FC12006152) |
PSS003796| East Asian Ancestry| 1,640 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Blood clot in the leg (DVT) or lung | — | AUROC: 0.66743 [0.52454, 0.81033] | R²: 0.03638 Incremental AUROC (full-covars): 0.00793 PGS R2 (no covariates): 7e-05 PGS AUROC (no covariates): 0.50497 [0.35161, 0.65832] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008890 | PGS001278 (GBE_BIN_FC12006152) |
PSS003797| European Ancestry| 24,838 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Blood clot in the leg (DVT) or lung | — | AUROC: 0.65354 [0.63231, 0.67477] | R²: 0.03366 Incremental AUROC (full-covars): 0.03495 PGS R2 (no covariates): 0.01331 PGS AUROC (no covariates): 0.59164 [0.56886, 0.61442] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008891 | PGS001278 (GBE_BIN_FC12006152) |
PSS003798| South Asian Ancestry| 7,556 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Blood clot in the leg (DVT) or lung | — | AUROC: 0.63523 [0.58822, 0.68224] | R²: 0.02321 Incremental AUROC (full-covars): 0.01038 PGS R2 (no covariates): 0.00457 PGS AUROC (no covariates): 0.55523 [0.50541, 0.60504] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008892 | PGS001278 (GBE_BIN_FC12006152) |
PSS003799| European Ancestry| 67,349 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Blood clot in the leg (DVT) or lung | — | AUROC: 0.63525 [0.6226, 0.64791] | R²: 0.02918 Incremental AUROC (full-covars): 0.03836 PGS R2 (no covariates): 0.01554 PGS AUROC (no covariates): 0.58956 [0.57602, 0.6031] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008893 | PGS001279 (GBE_BIN_FC8006152) |
PSS004014| African Ancestry| 6,348 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Blood clot in the lung | — | AUROC: 0.63917 [0.56071, 0.71763] | R²: 0.02075 Incremental AUROC (full-covars): 0.01133 PGS R2 (no covariates): 0.00182 PGS AUROC (no covariates): 0.53508 [0.45261, 0.61756] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008894 | PGS001279 (GBE_BIN_FC8006152) |
PSS004015| East Asian Ancestry| 1,640 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Blood clot in the lung | — | AUROC: 0.82557 [0.62097, 1.0] | R²: 0.16736 Incremental AUROC (full-covars): -0.00024 PGS R2 (no covariates): 0.00388 PGS AUROC (no covariates): 0.57456 [0.37482, 0.77429] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008895 | PGS001279 (GBE_BIN_FC8006152) |
PSS004016| European Ancestry| 24,838 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Blood clot in the lung | — | AUROC: 0.62994 [0.59262, 0.66726] | R²: 0.01985 Incremental AUROC (full-covars): 0.03629 PGS R2 (no covariates): 0.00848 PGS AUROC (no covariates): 0.59191 [0.55186, 0.63196] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008896 | PGS001279 (GBE_BIN_FC8006152) |
PSS004017| South Asian Ancestry| 7,556 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Blood clot in the lung | — | AUROC: 0.71053 [0.63261, 0.78846] | R²: 0.04621 Incremental AUROC (full-covars): 0.02759 PGS R2 (no covariates): 0.00898 PGS AUROC (no covariates): 0.60144 [0.50751, 0.69537] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008897 | PGS001279 (GBE_BIN_FC8006152) |
PSS004018| European Ancestry| 67,349 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Blood clot in the lung | — | AUROC: 0.62416 [0.60164, 0.64668] | R²: 0.01763 Incremental AUROC (full-covars): 0.04457 PGS R2 (no covariates): 0.01146 PGS AUROC (no covariates): 0.60034 [0.57683, 0.62385] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008898 | PGS001280 (GBE_HC943) |
PSS004731| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE PE | — | AUROC: 0.64593 [0.59381, 0.69806] | R²: 0.02844 Incremental AUROC (full-covars): 0.007 PGS R2 (no covariates): 0.00302 PGS AUROC (no covariates): 0.54566 [0.48787, 0.60344] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008899 | PGS001280 (GBE_HC943) |
PSS004732| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE PE | — | AUROC: 0.80741 [0.66178, 0.95305] | R²: 0.12326 Incremental AUROC (full-covars): -0.00228 PGS R2 (no covariates): 2e-05 PGS AUROC (no covariates): 0.51798 [0.36629, 0.66968] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008900 | PGS001280 (GBE_HC943) |
PSS004733| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE PE | — | AUROC: 0.67617 [0.64866, 0.70368] | R²: 0.04057 Incremental AUROC (full-covars): 0.02926 PGS R2 (no covariates): 0.01403 PGS AUROC (no covariates): 0.60765 [0.57812, 0.63719] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008901 | PGS001280 (GBE_HC943) |
PSS004734| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE PE | — | AUROC: 0.68371 [0.61554, 0.75187] | R²: 0.03438 Incremental AUROC (full-covars): 0.03127 PGS R2 (no covariates): 0.01152 PGS AUROC (no covariates): 0.6164 [0.54879, 0.684] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008902 | PGS001280 (GBE_HC943) |
PSS004735| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE PE | — | AUROC: 0.65102 [0.6355, 0.66654] | R²: 0.03061 Incremental AUROC (full-covars): 0.03417 PGS R2 (no covariates): 0.01357 PGS AUROC (no covariates): 0.59996 [0.58313, 0.61679] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009092 | PGS001320 (GBE_HC215) |
PSS004349| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hypertension | — | AUROC: 0.7113 [0.69875, 0.72385] | R²: 0.17724 Incremental AUROC (full-covars): 0.00194 PGS R2 (no covariates): 0.01116 PGS AUROC (no covariates): 0.55174 [0.53775, 0.56573] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009093 | PGS001320 (GBE_HC215) |
PSS004350| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hypertension | — | AUROC: 0.75955 [0.7336, 0.78551] | R²: 0.22552 Incremental AUROC (full-covars): 0.03121 PGS R2 (no covariates): 0.05514 PGS AUROC (no covariates): 0.62221 [0.59228, 0.65214] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009094 | PGS001320 (GBE_HC215) |
PSS004351| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hypertension | — | AUROC: 0.731 [0.72434, 0.73765] | R²: 0.19145 Incremental AUROC (full-covars): 0.03394 PGS R2 (no covariates): 0.05533 PGS AUROC (no covariates): 0.62108 [0.61358, 0.62857] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009095 | PGS001320 (GBE_HC215) |
PSS004352| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hypertension | — | AUROC: 0.73444 [0.72324, 0.74564] | R²: 0.21325 Incremental AUROC (full-covars): 0.02055 PGS R2 (no covariates): 0.03841 PGS AUROC (no covariates): 0.59979 [0.58706, 0.61252] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009096 | PGS001320 (GBE_HC215) |
PSS004353| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Hypertension | — | AUROC: 0.7189 [0.71489, 0.72291] | R²: 0.17852 Incremental AUROC (full-covars): 0.04424 PGS R2 (no covariates): 0.06493 PGS AUROC (no covariates): 0.62908 [0.62467, 0.63349] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009594 | PGS001838 (portability-PLR_401) |
PSS009310| European Ancestry| 20,000 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hypertension | — | — | Partial Correlation (partial-r): 0.1882 [0.1748, 0.2016] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009595 | PGS001838 (portability-PLR_401) |
PSS009084| European Ancestry| 4,136 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hypertension | — | — | Partial Correlation (partial-r): 0.1633 [0.1334, 0.1929] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009596 | PGS001838 (portability-PLR_401) |
PSS008638| European Ancestry| 6,660 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hypertension | — | — | Partial Correlation (partial-r): 0.157 [0.1335, 0.1804] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009598 | PGS001838 (portability-PLR_401) |
PSS008192| South Asian Ancestry| 6,331 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hypertension | — | — | Partial Correlation (partial-r): 0.1567 [0.1326, 0.1807] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009599 | PGS001838 (portability-PLR_401) |
PSS007974| East Asian Ancestry| 1,810 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hypertension | — | — | Partial Correlation (partial-r): 0.1165 [0.0706, 0.162] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009600 | PGS001838 (portability-PLR_401) |
PSS007757| African Ancestry| 2,484 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hypertension | — | — | Partial Correlation (partial-r): 0.1101 [0.071, 0.149] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009601 | PGS001838 (portability-PLR_401) |
PSS008861| African Ancestry| 3,924 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hypertension | — | — | Partial Correlation (partial-r): 0.0682 [0.0369, 0.0993] | sex, age, birth date, deprivation index, 16 PCs | — |
| 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 | — |
| PPM011238 | PGS002047 (portability-ldpred2_401) |
PSS009310| European Ancestry| 20,000 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hypertension | — | — | Partial Correlation (partial-r): 0.1966 [0.1832, 0.2099] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011239 | PGS002047 (portability-ldpred2_401) |
PSS009084| European Ancestry| 4,136 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hypertension | — | — | Partial Correlation (partial-r): 0.1843 [0.1546, 0.2137] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011241 | PGS002047 (portability-ldpred2_401) |
PSS008412| Greater Middle Eastern Ancestry| 1,200 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hypertension | — | — | Partial Correlation (partial-r): 0.1675 [0.1115, 0.2224] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011242 | PGS002047 (portability-ldpred2_401) |
PSS008192| South Asian Ancestry| 6,331 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hypertension | — | — | Partial Correlation (partial-r): 0.1679 [0.1438, 0.1917] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011243 | PGS002047 (portability-ldpred2_401) |
PSS007974| East Asian Ancestry| 1,810 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hypertension | — | — | Partial Correlation (partial-r): 0.1101 [0.0641, 0.1556] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011244 | PGS002047 (portability-ldpred2_401) |
PSS007757| African Ancestry| 2,484 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hypertension | — | — | Partial Correlation (partial-r): 0.0996 [0.0603, 0.1385] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011245 | PGS002047 (portability-ldpred2_401) |
PSS008861| African Ancestry| 3,924 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hypertension | — | — | Partial Correlation (partial-r): 0.0804 [0.0492, 0.1115] | 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 | — |
| PPM011294 | PGS002054 (portability-ldpred2_442.11) |
PSS009317| European Ancestry| 19,545 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Abdominal aortic aneurysm | — | — | Partial Correlation (partial-r): 0.0144 | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011295 | PGS002054 (portability-ldpred2_442.11) |
PSS009091| European Ancestry| 4,042 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Abdominal aortic aneurysm | — | — | Partial Correlation (partial-r): 0.0382 [0.0073, 0.069] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011296 | PGS002054 (portability-ldpred2_442.11) |
PSS008645| European Ancestry| 6,542 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Abdominal aortic aneurysm | — | — | Partial Correlation (partial-r): 0.0139 [-0.0104, 0.0382] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011297 | PGS002054 (portability-ldpred2_442.11) |
PSS008419| Greater Middle Eastern Ancestry| 1,183 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Abdominal aortic aneurysm | — | — | Partial Correlation (partial-r): 0.0222 [-0.0354, 0.0795] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011298 | PGS002054 (portability-ldpred2_442.11) |
PSS008199| South Asian Ancestry| 6,205 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Abdominal aortic aneurysm | — | — | Partial Correlation (partial-r): 0.0007 [-0.0243, 0.0256] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011299 | PGS002054 (portability-ldpred2_442.11) |
PSS007981| East Asian Ancestry| 1,791 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Abdominal aortic aneurysm | — | — | Partial Correlation (partial-r): 0.025 [-0.0216, 0.0715] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011300 | PGS002054 (portability-ldpred2_442.11) |
PSS007764| African Ancestry| 2,435 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Abdominal aortic aneurysm | — | — | Partial Correlation (partial-r): 0.0069 [-0.033, 0.0468] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011301 | PGS002054 (portability-ldpred2_442.11) |
PSS008868| African Ancestry| 3,861 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Abdominal aortic aneurysm | — | — | Partial Correlation (partial-r): -0.0158 [-0.0474, 0.0158] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM009597 | PGS001838 (portability-PLR_401) |
PSS008412| Greater Middle Eastern Ancestry| 1,200 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hypertension | — | — | Partial Correlation (partial-r): 0.1797 [0.1239, 0.2344] | 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 | — |
| PPM011240 | PGS002047 (portability-ldpred2_401) |
PSS008638| European Ancestry| 6,660 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Hypertension | — | — | Partial Correlation (partial-r): 0.1669 [0.1434, 0.1902] | 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 | — |
| PPM013025 | PGS002296 (PRS2166_HT) |
PSS009654| European Ancestry| 2,244 individuals |
PGP000326 | Maj C et al. Front Cardiovasc Med (2022) |
Reported Trait: Hypertension | OR: 3.22 [2.06, 5.1] | — | — | — | — |
| 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] | — | — |
| PPM009288 | PGS001784 (1kgeur_gbmi_leaveUKBBout_AAA_pst_eff_a1_b0.5_phiauto) |
PSS007707| European Ancestry| 350,767 individuals |
PGP000262 | Wang Y et al. Cell Genom (2023) |
Reported Trait: Abdominal aortic aneurysm | — | AUROC: 0.868 | Nagelkerke's R2 (covariates regressed out): 0.01466 | sex,age,age2,age*sex,age^2*sex, 20PCs | — |
| 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] | — | — | — |
| PPM014977 | PGS002777 (GTG_Hypertension_maxCT) |
PSS009942| European Ancestry| 21,970 individuals |
PGP000365 | Wong CK et al. PLoS One (2022) |
Reported Trait: Incident hypertension | OR: 1.23 [1.18, 1.27] | AUROC: 0.559 [0.55, 0.569] | — | — | — |
| PPM014978 | PGS002778 (GTG_Hypertension_SCT) |
PSS009942| European Ancestry| 21,970 individuals |
PGP000365 | Wong CK et al. PLoS One (2022) |
Reported Trait: Incident hypertension | OR: 1.26 [1.22, 1.3] | AUROC: 0.566 [0.556, 0.576] | — | — | — |
| 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] | — | — | — | — |
| 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] | — | — | — | — |
| 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] | — | — | — |
| PPM014965 | PGS002765 (SBP_prscs) |
PSS009939| European Ancestry| 39,444 individuals |
PGP000364 | Mars N et al. Am J Hum Genet (2022) |
Reported Trait: Hypertension | OR: 1.57 [1.51, 1.62] | — | — | age, sex, 10 PCs, technical covariates | — |
| 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] | — | — |
| PPM015889 | PGS003004 (ExPRSweb_Hypertension_finngen-R4-FG_LASSOSUM_MGI_20211120) |
PSS010008| European Ancestry| 23,316 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Hypertension | OR: 0.983 [0.955, 1.012] β: -0.0172 (0.0149) |
AUROC: 0.51 [0.5, 0.519] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015872 | PGS002997 (ExPRSweb_Hypertension_20002-1065_DBSLMM_MGI_20211120) |
PSS010008| European Ancestry| 23,316 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Hypertension | OR: 1.338 [1.299, 1.379] β: 0.291 (0.0153) |
AUROC: 0.58 [0.572, 0.59] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015873 | PGS002994 (ExPRSweb_Hypertension_20002-1065_LASSOSUM_MGI_20211120) |
PSS010008| European Ancestry| 23,316 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Hypertension | OR: 1.638 [1.587, 1.691] β: 0.494 (0.0162) |
AUROC: 0.628 [0.62, 0.636] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015874 | PGS002996 (ExPRSweb_Hypertension_20002-1065_PLINK_MGI_20211120) |
PSS010008| European Ancestry| 23,316 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Hypertension | OR: 1.55 [1.501, 1.6] β: 0.438 (0.0164) |
AUROC: 0.611 [0.602, 0.619] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015875 | PGS002998 (ExPRSweb_Hypertension_20002-1065_PRSCS_MGI_20211120) |
PSS010008| European Ancestry| 23,316 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Hypertension | OR: 1.67 [1.617, 1.725] β: 0.513 (0.0165) |
AUROC: 0.63 [0.622, 0.639] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015876 | PGS002995 (ExPRSweb_Hypertension_20002-1065_PT_MGI_20211120) |
PSS010008| European Ancestry| 23,316 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Hypertension | OR: 1.556 [1.507, 1.607] β: 0.442 (0.0164) |
AUROC: 0.612 [0.603, 0.62] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015877 | PGS003002 (ExPRSweb_Hypertension_20002-1072_DBSLMM_MGI_20211120) |
PSS010008| European Ancestry| 23,316 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Hypertension | OR: 1.003 [0.974, 1.033] β: 0.0026 (0.015) |
AUROC: 0.486 [0.478, 0.495] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015878 | PGS002999 (ExPRSweb_Hypertension_20002-1072_LASSOSUM_MGI_20211120) |
PSS010008| European Ancestry| 23,316 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Hypertension | OR: 1.036 [1.006, 1.067] β: 0.0358 (0.015) |
AUROC: 0.508 [0.498, 0.516] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015880 | PGS003003 (ExPRSweb_Hypertension_20002-1072_PRSCS_MGI_20211120) |
PSS010008| European Ancestry| 23,316 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Hypertension | OR: 1.059 [1.029, 1.09] β: 0.0573 (0.0149) |
AUROC: 0.516 [0.507, 0.524] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015881 | PGS003000 (ExPRSweb_Hypertension_20002-1072_PT_MGI_20211120) |
PSS010008| European Ancestry| 23,316 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Hypertension | OR: 1.034 [1.004, 1.065] β: 0.0338 (0.015) |
AUROC: 0.507 [0.498, 0.516] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015882 | PGS003017 (ExPRSweb_Hypertension_I10_DBSLMM_MGI_20211120) |
PSS010008| European Ancestry| 23,316 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Hypertension | OR: 1.006 [0.977, 1.036] β: 0.0057 (0.015) |
AUROC: 0.492 [0.484, 0.502] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015883 | PGS003014 (ExPRSweb_Hypertension_I10_LASSOSUM_MGI_20211120) |
PSS010008| European Ancestry| 23,316 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Hypertension | OR: 1.065 [1.035, 1.097] β: 0.0634 (0.015) |
AUROC: 0.517 [0.509, 0.526] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015884 | PGS003016 (ExPRSweb_Hypertension_I10_PLINK_MGI_20211120) |
PSS010008| European Ancestry| 23,316 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Hypertension | OR: 1.066 [1.035, 1.098] β: 0.064 (0.015) |
AUROC: 0.521 [0.512, 0.53] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015885 | PGS003018 (ExPRSweb_Hypertension_I10_PRSCS_MGI_20211120) |
PSS010008| European Ancestry| 23,316 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Hypertension | OR: 1.07 [1.038, 1.102] β: 0.0672 (0.015) |
AUROC: 0.519 [0.51, 0.527] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015886 | PGS003015 (ExPRSweb_Hypertension_I10_PT_MGI_20211120) |
PSS010008| European Ancestry| 23,316 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Hypertension | OR: 1.07 [1.039, 1.102] β: 0.0677 (0.015) |
AUROC: 0.522 [0.513, 0.53] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015887 | PGS003007 (ExPRSweb_Hypertension_finngen-R4-FG_DBSLMM_MGI_20211120) |
PSS010008| European Ancestry| 23,316 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Hypertension | OR: 1.015 [0.986, 1.045] β: 0.0153 (0.0149) |
AUROC: 0.498 [0.489, 0.507] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015890 | PGS003019 (ExPRSweb_Hypertension_finngen-R4-FG_LASSOSUM_UKB_20211120) |
PSS010030| European Ancestry| 203,639 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Hypertension | OR: 1.016 [1.004, 1.027] β: 0.0156 (0.00586) |
AUROC: 0.505 [0.502, 0.509] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
| PPM015891 | PGS003006 (ExPRSweb_Hypertension_finngen-R4-FG_PLINK_MGI_20211120) |
PSS010008| European Ancestry| 23,316 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Hypertension | OR: 0.987 [0.959, 1.017] β: -0.0127 (0.015) |
AUROC: 0.502 [0.492, 0.511] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015892 | PGS003021 (ExPRSweb_Hypertension_finngen-R4-FG_PLINK_UKB_20211120) |
PSS010030| European Ancestry| 203,639 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Hypertension | OR: 1.01 [0.999, 1.022] β: 0.0101 (0.00587) |
AUROC: 0.503 [0.5, 0.507] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
| PPM015893 | PGS003008 (ExPRSweb_Hypertension_finngen-R4-FG_PRSCS_MGI_20211120) |
PSS010008| European Ancestry| 23,316 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Hypertension | OR: 0.988 [0.959, 1.017] β: -0.0122 (0.0149) |
AUROC: 0.5 [0.49, 0.508] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015895 | PGS003005 (ExPRSweb_Hypertension_finngen-R4-FG_PT_MGI_20211120) |
PSS010008| European Ancestry| 23,316 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Hypertension | OR: 1.016 [0.986, 1.046] β: 0.0155 (0.015) |
AUROC: 0.506 [0.497, 0.515] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015896 | PGS003020 (ExPRSweb_Hypertension_finngen-R4-FG_PT_UKB_20211120) |
PSS010030| European Ancestry| 203,639 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Hypertension | OR: 0.992 [0.98, 1.003] β: -0.00832 (0.00587) |
AUROC: 0.506 [0.503, 0.509] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
| PPM015897 | PGS003012 (ExPRSweb_Hypertension_finngen-R4-I9_DBSLMM_MGI_20211120) |
PSS010008| European Ancestry| 23,316 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Hypertension | OR: 1.019 [0.99, 1.05] β: 0.0193 (0.0149) |
AUROC: 0.502 [0.493, 0.511] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015898 | PGS003027 (ExPRSweb_Hypertension_finngen-R4-I9_DBSLMM_UKB_20211120) |
PSS010030| European Ancestry| 203,639 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Hypertension | OR: 1.0 [0.989, 1.011] β: -7e-05 (0.00584) |
AUROC: 0.492 [0.489, 0.494] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
| PPM015899 | PGS003009 (ExPRSweb_Hypertension_finngen-R4-I9_LASSOSUM_MGI_20211120) |
PSS010008| European Ancestry| 23,316 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Hypertension | OR: 0.99 [0.961, 1.019] β: -0.0105 (0.015) |
AUROC: 0.512 [0.503, 0.521] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015900 | PGS003024 (ExPRSweb_Hypertension_finngen-R4-I9_LASSOSUM_UKB_20211120) |
PSS010030| European Ancestry| 203,639 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Hypertension | OR: 1.01 [0.998, 1.022] β: 0.00982 (0.00587) |
AUROC: 0.503 [0.5, 0.507] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
| PPM015901 | PGS003011 (ExPRSweb_Hypertension_finngen-R4-I9_PLINK_MGI_20211120) |
PSS010008| European Ancestry| 23,316 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Hypertension | OR: 1.023 [0.993, 1.054] β: 0.0229 (0.0151) |
AUROC: 0.505 [0.496, 0.514] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015902 | PGS003026 (ExPRSweb_Hypertension_finngen-R4-I9_PLINK_UKB_20211120) |
PSS010030| European Ancestry| 203,639 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Hypertension | OR: 1.006 [0.994, 1.018] β: 0.00592 (0.00587) |
AUROC: 0.502 [0.498, 0.505] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
| PPM015903 | PGS003013 (ExPRSweb_Hypertension_finngen-R4-I9_PRSCS_MGI_20211120) |
PSS010008| European Ancestry| 23,316 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Hypertension | OR: 0.991 [0.962, 1.02] β: -0.00951 (0.0149) |
AUROC: 0.5 [0.491, 0.509] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015905 | PGS003010 (ExPRSweb_Hypertension_finngen-R4-I9_PT_MGI_20211120) |
PSS010008| European Ancestry| 23,316 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Hypertension | OR: 1.023 [0.993, 1.053] β: 0.0224 (0.015) |
AUROC: 0.507 [0.498, 0.515] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015906 | PGS003025 (ExPRSweb_Hypertension_finngen-R4-I9_PT_UKB_20211120) |
PSS010030| European Ancestry| 203,639 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Hypertension | OR: 0.991 [0.98, 1.002] β: -0.00913 (0.00587) |
AUROC: 0.504 [0.501, 0.507] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
| PPM015879 | PGS003001 (ExPRSweb_Hypertension_20002-1072_PLINK_MGI_20211120) |
PSS010008| European Ancestry| 23,316 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Hypertension | OR: 1.032 [1.002, 1.063] β: 0.0318 (0.015) |
AUROC: 0.507 [0.498, 0.516] | — | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015888 | PGS003022 (ExPRSweb_Hypertension_finngen-R4-FG_DBSLMM_UKB_20211120) |
PSS010030| European Ancestry| 203,639 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Hypertension | OR: 1.002 [0.99, 1.013] β: 0.0015 (0.00585) |
AUROC: 0.491 [0.488, 0.494] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
| PPM015894 | PGS003023 (ExPRSweb_Hypertension_finngen-R4-FG_PRSCS_UKB_20211120) |
PSS010030| European Ancestry| 203,639 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Hypertension | OR: 1.012 [1.001, 1.024] β: 0.012 (0.00587) |
AUROC: 0.506 [0.502, 0.509] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
| PPM015904 | PGS003028 (ExPRSweb_Hypertension_finngen-R4-I9_PRSCS_UKB_20211120) |
PSS010030| European Ancestry| 203,639 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Hypertension | OR: 1.009 [0.997, 1.021] β: 0.00888 (0.00587) |
AUROC: 0.505 [0.502, 0.509] | — | Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 | — |
| 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 |
| PPM013149 | PGS002335 (disease_HYPERTENSION_DIAGNOSED.BOLT-LMM) |
PSS009784| East Asian Ancestry| 913 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypertension | — | — | Incremental R2 (full model vs. covariates alone): 0.0326 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013100 | PGS002335 (disease_HYPERTENSION_DIAGNOSED.BOLT-LMM) |
PSS009783| African Ancestry| 6,438 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypertension | — | — | Incremental R2 (full model vs. covariates alone): 0.0144 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013198 | PGS002335 (disease_HYPERTENSION_DIAGNOSED.BOLT-LMM) |
PSS009785| European Ancestry| 43,392 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypertension | — | — | Incremental R2 (full model vs. covariates alone): 0.0527 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013247 | PGS002335 (disease_HYPERTENSION_DIAGNOSED.BOLT-LMM) |
PSS009786| South Asian Ancestry| 7,948 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypertension | — | — | Incremental R2 (full model vs. covariates alone): 0.0444 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013388 | PGS002407 (disease_HYPERTENSION_DIAGNOSED.P+T.0.0001) |
PSS009783| African Ancestry| 6,438 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypertension | — | — | Incremental R2 (full model vs. covariates alone): 0.0002 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013437 | PGS002407 (disease_HYPERTENSION_DIAGNOSED.P+T.0.0001) |
PSS009784| East Asian Ancestry| 913 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypertension | — | — | Incremental R2 (full model vs. covariates alone): 0.0023 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013486 | PGS002407 (disease_HYPERTENSION_DIAGNOSED.P+T.0.0001) |
PSS009785| European Ancestry| 43,392 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypertension | — | — | Incremental R2 (full model vs. covariates alone): 0.0185 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013535 | PGS002407 (disease_HYPERTENSION_DIAGNOSED.P+T.0.0001) |
PSS009786| South Asian Ancestry| 7,948 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypertension | — | — | Incremental R2 (full model vs. covariates alone): 0.012 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013584 | PGS002456 (disease_HYPERTENSION_DIAGNOSED.P+T.0.001) |
PSS009783| African Ancestry| 6,438 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypertension | — | — | Incremental R2 (full model vs. covariates alone): 0.0002 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013633 | PGS002456 (disease_HYPERTENSION_DIAGNOSED.P+T.0.001) |
PSS009784| East Asian Ancestry| 913 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypertension | — | — | Incremental R2 (full model vs. covariates alone): 0.0028 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013682 | PGS002456 (disease_HYPERTENSION_DIAGNOSED.P+T.0.001) |
PSS009785| European Ancestry| 43,392 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypertension | — | — | Incremental R2 (full model vs. covariates alone): 0.0182 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013731 | PGS002456 (disease_HYPERTENSION_DIAGNOSED.P+T.0.001) |
PSS009786| South Asian Ancestry| 7,948 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypertension | — | — | Incremental R2 (full model vs. covariates alone): 0.0066 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013780 | PGS002505 (disease_HYPERTENSION_DIAGNOSED.P+T.0.01) |
PSS009783| African Ancestry| 6,438 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypertension | — | — | Incremental R2 (full model vs. covariates alone): 0.0001 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013829 | PGS002505 (disease_HYPERTENSION_DIAGNOSED.P+T.0.01) |
PSS009784| East Asian Ancestry| 913 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypertension | — | — | Incremental R2 (full model vs. covariates alone): 0.0 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013878 | PGS002505 (disease_HYPERTENSION_DIAGNOSED.P+T.0.01) |
PSS009785| European Ancestry| 43,392 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypertension | — | — | Incremental R2 (full model vs. covariates alone): 0.0115 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013927 | PGS002505 (disease_HYPERTENSION_DIAGNOSED.P+T.0.01) |
PSS009786| South Asian Ancestry| 7,948 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypertension | — | — | Incremental R2 (full model vs. covariates alone): 0.0044 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM013976 | PGS002554 (disease_HYPERTENSION_DIAGNOSED.P+T.1e-06) |
PSS009783| African Ancestry| 6,438 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypertension | — | — | Incremental R2 (full model vs. covariates alone): 0.0034 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014025 | PGS002554 (disease_HYPERTENSION_DIAGNOSED.P+T.1e-06) |
PSS009784| East Asian Ancestry| 913 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypertension | — | — | Incremental R2 (full model vs. covariates alone): 0.0057 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014074 | PGS002554 (disease_HYPERTENSION_DIAGNOSED.P+T.1e-06) |
PSS009785| European Ancestry| 43,392 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypertension | — | — | Incremental R2 (full model vs. covariates alone): 0.0128 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014123 | PGS002554 (disease_HYPERTENSION_DIAGNOSED.P+T.1e-06) |
PSS009786| South Asian Ancestry| 7,948 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypertension | — | — | Incremental R2 (full model vs. covariates alone): 0.0086 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014172 | PGS002603 (disease_HYPERTENSION_DIAGNOSED.P+T.5e-08) |
PSS009783| African Ancestry| 6,438 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypertension | — | — | Incremental R2 (full model vs. covariates alone): 0.004 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014221 | PGS002603 (disease_HYPERTENSION_DIAGNOSED.P+T.5e-08) |
PSS009784| East Asian Ancestry| 913 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypertension | — | — | Incremental R2 (full model vs. covariates alone): 0.004 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014270 | PGS002603 (disease_HYPERTENSION_DIAGNOSED.P+T.5e-08) |
PSS009785| European Ancestry| 43,392 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypertension | — | — | Incremental R2 (full model vs. covariates alone): 0.011 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014319 | PGS002603 (disease_HYPERTENSION_DIAGNOSED.P+T.5e-08) |
PSS009786| South Asian Ancestry| 7,948 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypertension | — | — | Incremental R2 (full model vs. covariates alone): 0.007 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014564 | PGS002701 (disease_HYPERTENSION_DIAGNOSED.SBayesR) |
PSS009783| African Ancestry| 6,438 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypertension | — | — | Incremental R2 (full model vs. covariates alone): 0.0146 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014368 | PGS002652 (disease_HYPERTENSION_DIAGNOSED.PolyFun-pred) |
PSS009783| African Ancestry| 6,438 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypertension | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0195 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See disease_HYPERTENSION_DIAGNOSED.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014417 | PGS002652 (disease_HYPERTENSION_DIAGNOSED.PolyFun-pred) |
PSS009784| East Asian Ancestry| 913 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypertension | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0417 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See disease_HYPERTENSION_DIAGNOSED.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014466 | PGS002652 (disease_HYPERTENSION_DIAGNOSED.PolyFun-pred) |
PSS009785| European Ancestry| 43,392 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypertension | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0539 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See disease_HYPERTENSION_DIAGNOSED.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014515 | PGS002652 (disease_HYPERTENSION_DIAGNOSED.PolyFun-pred) |
PSS009786| South Asian Ancestry| 7,948 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypertension | — | — | Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0476 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | See disease_HYPERTENSION_DIAGNOSED.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights |
| PPM014613 | PGS002701 (disease_HYPERTENSION_DIAGNOSED.SBayesR) |
PSS009784| East Asian Ancestry| 913 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypertension | — | — | Incremental R2 (full model vs. covariates alone): 0.0335 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014662 | PGS002701 (disease_HYPERTENSION_DIAGNOSED.SBayesR) |
PSS009785| European Ancestry| 43,392 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypertension | — | — | Incremental R2 (full model vs. covariates alone): 0.0506 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| PPM014711 | PGS002701 (disease_HYPERTENSION_DIAGNOSED.SBayesR) |
PSS009786| South Asian Ancestry| 7,948 individuals |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Reported Trait: Hypertension | — | — | Incremental R2 (full model vs. covariates alone): 0.0453 | age, sex, age*sex, assessment center, genotyping array, 10 PCs | — |
| 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 | — |
| PPM018281 | PGS003587 (GH) |
PSS010956| European Ancestry| 25,582 individuals |
PGP000462 | Honigberg MC et al. Nat Med (2023) |
Reported Trait: Pre-eclampsia/eclampsia | OR: 1.2 [1.14, 1.26] | — | — | maternal age at delivery, age2, and the first ten principal components of genetic ancestry | — |
| 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] | — | — | — | — |
| PPM018280 | PGS003586 (PE) |
PSS010956| European Ancestry| 25,582 individuals |
PGP000462 | Honigberg MC et al. Nat Med (2023) |
Reported Trait: Pre-eclampsia/eclampsia | OR: 1.31 [1.24, 1.38] | — | — | maternal age at delivery, age2, and the first ten principal components of genetic ancestry | — |
| PPM018421 | PGS003725 (GPS_Mult) |
PSS010962| East Asian Ancestry| 1,464 individuals |
PGP000466 | Patel AP et al. Nat Med (2023) |
Reported Trait: Coronary artery disease | HR: 1.72 [1.13, 2.6] OR: 2.14 [1.34, 3.49] |
— | — | age, sex and the first ten principal components of genetic ancestry | — |
| PPM018419 | PGS003725 (GPS_Mult) |
PSS010960| European Ancestry| 308,264 individuals |
PGP000466 | Patel AP et al. Nat Med (2023) |
Reported Trait: Coronary artery disease | HR: 1.75 [1.71, 1.78] OR: 2.14 [2.1, 2.19] |
— | — | age, sex and the first ten principal components of genetic ancestry | — |
| PPM018422 | PGS003725 (GPS_Mult) |
PSS010963| South Asian Ancestry| 8,982 individuals |
PGP000466 | Patel AP et al. Nat Med (2023) |
Reported Trait: Coronary artery disease | HR: 1.62 [1.49, 1.77] OR: 2.02 [1.83, 2.23] |
— | — | age, sex and the first ten principal components of genetic ancestry | — |
| PPM018423 | PGS003725 (GPS_Mult) |
PSS010964| African Ancestry| 33,096 individuals |
PGP000466 | Patel AP et al. Nat Med (2023) |
Reported Trait: Coronary artery disease | OR: 1.25 [1.21, 1.29] | — | — | age, sex and the first ten principal components of genetic ancestry | — |
| PPM018424 | PGS003725 (GPS_Mult) |
PSS010965| European Ancestry| 124,467 individuals |
PGP000466 | Patel AP et al. Nat Med (2023) |
Reported Trait: Coronary artery disease | OR: 1.72 [1.69, 1.75] | — | — | age, sex and the first ten principal components of genetic ancestry | — |
| PPM018425 | PGS003725 (GPS_Mult) |
PSS010966| Hispanic or Latin American Ancestry| 16,433 individuals |
PGP000466 | Patel AP et al. Nat Med (2023) |
Reported Trait: Coronary artery disease | OR: 1.61 [1.53, 1.7] | — | — | age, sex and the first ten principal components of genetic ancestry | — |
| PPM018426 | PGS003725 (GPS_Mult) |
PSS010967| South Asian Ancestry| 16,874 individuals |
PGP000466 | Patel AP et al. Nat Med (2023) |
Reported Trait: Coronary artery disease | OR: 1.83 [1.69, 1.99] | — | — | age, sex and the first ten principal components of genetic ancestry | — |
| PPM018427 | PGS003726 (GPS_CADANC) |
PSS010960| European Ancestry| 308,264 individuals |
PGP000466 | Patel AP et al. Nat Med (2023) |
Reported Trait: Coronary artery disease | HR: 1.73 [1.69, 1.76] | — | — | age, sex and the first ten principal components of genetic ancestry | — |
| PPM018428 | PGS003726 (GPS_CADANC) |
PSS010961| African Ancestry| 7,281 individuals |
PGP000466 | Patel AP et al. Nat Med (2023) |
Reported Trait: Coronary artery disease | HR: 1.18 [1.01, 1.37] | — | — | age, sex and the first ten principal components of genetic ancestry | — |
| PPM018430 | PGS003726 (GPS_CADANC) |
PSS010963| South Asian Ancestry| 8,982 individuals |
PGP000466 | Patel AP et al. Nat Med (2023) |
Reported Trait: Coronary artery disease | HR: 1.6 [1.47, 1.74] | — | — | age, sex and the first ten principal components of genetic ancestry | — |
| 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 | — |
| PPM018751 | PGS003861 (PRS288_PE) |
PSS011090| East Asian Ancestry| 9,456 individuals |
PGP000499 | Zhang Z et al. BMC Med (2023) |
Reported Trait: Pulmonary embolism | — | AUROC: 0.765 | Odds ratio (OR, 30-70th quantile vs <90th quantile): 5.08 [4.109, 6.282] | — | — |
| 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] | — | — | — | — |
| PPM019134 | PGS003972 (PRSAAA) |
PSS011199| European Ancestry| 6,940 individuals |
PGP000513 | Roychowdhury T et al. Nat Genet (2023) |
Reported Trait: Abdominal aortic aneurysm | — | AUROC: 0.69 | — | — | — |
| PPM019135 | PGS003972 (PRSAAA) |
PSS011197| European Ancestry| 7,324 individuals |
PGP000513 | Roychowdhury T et al. Nat Genet (2023) |
Reported Trait: Abdominal aortic aneurysm | — | AUROC: 0.66 | — | — | — |
| PPM019136 | PGS003972 (PRSAAA) |
PSS011198| European Ancestry| 3,768 individuals |
PGP000513 | Roychowdhury T et al. Nat Genet (2023) |
Reported Trait: Abdominal aortic aneurysm | — | AUROC: 0.64 | — | — | — |
| PPM019137 | PGS003973 (PRSAAA_woUKB) |
PSS011200| European Ancestry| 7,517 individuals |
PGP000513 | Roychowdhury T et al. Nat Genet (2023) |
Reported Trait: Abdominal aortic aneurysm | — | C-index: 0.882 [0.872, 0.892] | — | Age, Age^2, Sex | — |
| PPM020126 | PGS004192 (hyper_2) |
PSS011296| European Ancestry| 45,334 individuals |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Reported Trait: Hypertension | — | AUROC: 0.70254 | — | year of birth, sex | — |
| PPM020127 | PGS004193 (hyper_3) |
PSS011296| European Ancestry| 45,334 individuals |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Reported Trait: Hypertension | — | AUROC: 0.70358 | — | year of birth, sex | — |
| PPM020128 | PGS004194 (hyper_4) |
PSS011296| European Ancestry| 45,334 individuals |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Reported Trait: Hypertension | — | AUROC: 0.69503 | — | year of birth, sex | — |
| PPM020129 | PGS004195 (hyper_5) |
PSS011296| European Ancestry| 45,334 individuals |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Reported Trait: Coronary artery disease | — | AUROC: 0.75746 | — | year of birth, sex | — |
| 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 | — |
| PPM020253 | PGS004234 (HTN_PAN-UKBB) |
PSS011312| Multi-ancestry (including European)| 39,035 individuals |
PGP000531 | Kurniansyah N et al. Nat Commun (2022) |
Reported Trait: Prevelant hypertension | — | AUROC: 0.763 [0.75, 0.775] | — | sex, age, age2, study site, race/ethnic background, smoking status, BMI, and 11 ancestral principal components | — |
| PPM020255 | PGS004236 (HTN_Unweighted_PRSsum) |
PSS011312| Multi-ancestry (including European)| 39,035 individuals |
PGP000531 | Kurniansyah N et al. Nat Commun (2022) |
Reported Trait: Prevelant hypertension | OR: 2.1 [1.99, 2.21] | AUROC: 0.764 [0.751, 0.777] | — | sex, age, age2, study site, race/ethnic background, smoking status, BMI, and 11 ancestral principal components | PRSsum based on selected CV-PRS (which summed the CV-PRS from the three phenotypes). |
| PPM020256 | PGS004236 (HTN_Unweighted_PRSsum) |
PSS011312| Multi-ancestry (including European)| 39,035 individuals |
PGP000531 | Kurniansyah N et al. Nat Commun (2022) |
Reported Trait: New-onset hypertension (normotensive) | OR: 1.72 [1.55, 1.91] | AUROC: 0.656 | — | sex, age, age2, study site, race/ethnic background, smoking status, BMI, and 11 ancestral principal components | PRSsum based on selected CV-PRS (which summed the CV-PRS from the three phenotypes). |
| PPM020257 | PGS004236 (HTN_Unweighted_PRSsum) |
PSS011312| Multi-ancestry (including European)| 39,035 individuals |
PGP000531 | Kurniansyah N et al. Nat Commun (2022) |
Reported Trait: New-onset hypertension (elevated) | OR: 1.48 [1.27, 1.71] | AUROC: 0.582 | — | sex, age, age2, study site, race/ethnic background, smoking status, BMI, and 11 ancestral principal components | PRSsum based on selected CV-PRS (which summed the CV-PRS from the three phenotypes). |
| 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 | — |
| PPM020125 | PGS004191 (hyper_1) |
PSS011296| European Ancestry| 45,334 individuals |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Reported Trait: Hypertension | — | AUROC: 0.70167 | — | year of birth, sex | — |
| PPM020134 | PGS004200 (cad_5) |
PSS011296| European Ancestry| 45,334 individuals |
PGP000520 | Raben TG et al. Sci Rep (2023) |
Reported Trait: Lipoprotein A | — | — | 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 |
| PPM017103 | PGS003429 (AAA) |
PSS010126| European Ancestry| 91,731 individuals |
PGP000436 | Kelemen M et al. Nat Commun (2024) |
Reported Trait: Abdominal aortic aneurysm | — | AUROC: 0.708 [0.691, 0.725] | R²: 0.00547 | — | — |
| 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 | — | — | — | — |
| PPM020570 | PGS004455 (disease.Hypertension.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Hypertension | OR: 1.54004 | — | — | — | — |
| PPM020575 | PGS004460 (disease.I26.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: I26 (Pulmonary embolism) | OR: 1.16684 | — | — | — | — |
| 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 | — | — | — | — |
| PPM020640 | PGS004525 (meta.Hypertension.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: Hypertension | OR: 1.57854 | — | — | — | — |
| PPM020645 | PGS004530 (meta.I26.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: I26 (Pulmonary embolism) | OR: 1.24245 | — | — | — | — |
| 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 | — |
| PPM020743 | PGS004593 (pe) |
PSS011387| European Ancestry| 138,317 individuals |
PGP000574 | Nurkkala J et al. J Hypertens (2022) |
Reported Trait: Gestational hypertension | HR: 1.16 [1.14, 1.19] | — | — | Collection year, genotyping batch, and the first 10 genetic principal components | — |
| PPM020744 | PGS004593 (pe) |
PSS011388| European Ancestry| 136,354 individuals |
PGP000574 | Nurkkala J et al. J Hypertens (2022) |
Reported Trait: Preeclampsia | HR: 1.21 [1.18, 1.24] | — | — | Collection year, genotyping batch, and the first 10 genetic principal components | — |
| 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 | — |
| PPM020571 | PGS004456 (disease.I10.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: I10 (Essential (primary) hypertension) | OR: 1.47509 | — | — | — | — |
| PPM020641 | PGS004526 (meta.I10.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: I10 (Essential (primary) hypertension) | OR: 1.54547 | — | — | — | — |
| 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) |
| PPM021010 | PGS004785 (HTN_PRSmix_eur) |
PSS011465| European Ancestry| 9,462 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Hypertension | — | — | Incremental R2 (Full model versus model with only covariates): 0.066 [0.056, 0.076] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM021011 | PGS004786 (HTN_PRSmix_sas) |
PSS011474| South Asian Ancestry| 8,837 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Hypertension | — | — | Incremental R2 (Full model versus model with only covariates): 0.022 [0.016, 0.028] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM021012 | PGS004787 (HTN_PRSmixPlus_eur) |
PSS011465| European Ancestry| 9,462 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Hypertension | — | — | Incremental R2 (Full model versus model with only covariates): 0.073 [0.063, 0.083] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM021013 | PGS004788 (HTN_PRSmixPlus_sas) |
PSS011474| South Asian Ancestry| 8,837 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Hypertension | — | — | Incremental R2 (Full model versus model with only covariates): 0.027 [0.02, 0.033] | 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 | — |
| PPM020374 | PGS004306 (GenoBoost_coronary_artery_disease_1) |
PSS011339| European Ancestry| 67,428 individuals |
PGP000546 | Ohta R et al. Nat Commun (2024) |
Reported Trait: Coronary artery disease | — | AUROC: 0.75619 | Covariate-adjusted pseudo-R2: 0.02397 AUPRC: 0.75619 |
age, sex, PC1-10 | — |
| PPM021386 | PGS000011 (GRS50) |
PSS011721| Ancestry Not Reported| 23,594 individuals |
PGP000650 | Sjögren M et al. Int J Cardiol Heart Vasc (2019) |Ext. |
Reported Trait: Number of cardiovascular-related hospitalizations | — | — | Incidence Rate Ratio (IRR, top vs bottom PGS quintiles): 1.31 [1.2, 1.43] | Age, sex, follow up time | — |
| PPM021387 | PGS000011 (GRS50) |
PSS011720| Ancestry Not Reported| 23,594 individuals |
PGP000650 | Sjögren M et al. Int J Cardiol Heart Vasc (2019) |Ext. |
Reported Trait: Number of hospitilization days for any cause | — | — | Incidence Rate Ratio (IRR, top vs bottom PGS quintiles): 1.17 [1.08, 1.26] | Age, sex, follow up time, hypertension, prevalent diabetes, smoking, ApoA1 and ApoB | — |
| PPM021388 | PGS000011 (GRS50) |
PSS011720| Ancestry Not Reported| 23,594 individuals |
PGP000650 | Sjögren M et al. Int J Cardiol Heart Vasc (2019) |Ext. |
Reported Trait: Any hospitilization event | — | — | Odds Ratio (OR, top vs bottom PGS quintiles): 1.18 [1.07, 1.3] | Age, sex, follow up time | — |
| PPM021389 | PGS000011 (GRS50) |
PSS011722| Ancestry Not Reported| 23,594 individuals |
PGP000650 | Sjögren M et al. Int J Cardiol Heart Vasc (2019) |Ext. |
Reported Trait: Cardiovascular-related death | — | — | Hazard Ratio (HR, top vs bottom PGS quintiles): 1.44 [1.25, 1.66] | Age, sex, hypertension, prevalent diabetes, smoking, aPoA1, ApoB | — |
| PPM021399 | PGS004921 (CAD-GRS) |
PSS011730| European Ancestry| 317,509 individuals |
PGP000654 | Huang Y et al. Circ Genom Precis Med (2020) |
Reported Trait: Prevalent coronary artery disease | OR: 1.41 [1.38, 1.44] | — | — | Age, population stratification, smoking status, alcohol consumption, BMI, history of diabetes or hypertension, cholesterol medication use, education, Townsend deprivation index | — |
| PPM021400 | PGS004921 (CAD-GRS) |
PSS011731| European Ancestry| 146,246 individuals |
PGP000654 | Huang Y et al. Circ Genom Precis Med (2020) |
Reported Trait: Prevalent coronary artery disease | OR: 1.44 [1.4, 1.48] | — | — | Age, population stratification, smoking status, alcohol consumption, BMI, history of diabetes or hypertension, cholesterol medication use, education, Townsend deprivation index | — |
| PPM021401 | PGS004921 (CAD-GRS) |
PSS011732| European Ancestry| 171,263 individuals |
PGP000654 | Huang Y et al. Circ Genom Precis Med (2020) |
Reported Trait: Prevalent coronary artery disease | OR: 1.33 [1.27, 1.39] | — | — | Age, population stratification, smoking status, alcohol consumption, BMI, history of diabetes or hypertension, cholesterol medication use, education, Townsend deprivation index | — |
| PPM021402 | PGS004921 (CAD-GRS) |
PSS011727| European Ancestry| 307,151 individuals |
PGP000654 | Huang Y et al. Circ Genom Precis Med (2020) |
Reported Trait: Incident coronary artery disease | OR: 1.34 [1.31, 1.36] | — | — | Age, population stratification, smoking status, alcohol consumption, BMI, history of diabetes or hypertension, cholesterol medication use, education, Townsend deprivation index | — |
| PPM021403 | PGS004921 (CAD-GRS) |
PSS011728| European Ancestry| 138,270 individuals |
PGP000654 | Huang Y et al. Circ Genom Precis Med (2020) |
Reported Trait: Incident coronary artery disease | OR: 1.38 [1.34, 1.41] | — | — | Age, population stratification, smoking status, alcohol consumption, BMI, history of diabetes or hypertension, cholesterol medication use, education, Townsend deprivation index | — |
| PPM021404 | PGS004921 (CAD-GRS) |
PSS011729| European Ancestry| 168,881 individuals |
PGP000654 | Huang Y et al. Circ Genom Precis Med (2020) |
Reported Trait: Incident coronary artery disease | OR: 1.25 [1.21, 1.3] | — | — | Age, population stratification, smoking status, alcohol consumption, BMI, history of diabetes or hypertension, cholesterol medication use, education, Townsend deprivation index | — |
| PPM021717 | PGS003446 (TEM_CAD_PRS) |
PSS011762| European Ancestry| 8,417 individuals |
PGP000665 | Moreno-Grau S et al. Human Genomics (2024) |Ext. |
Reported Trait: Coronary artery disease | OR: 1.6 [1.42, 1.82] | AUROC: 0.82 | — | — | — |
| PPM021711 | PGS002262 (metaPRS_CAD) |
PSS011758| East Asian Ancestry| 34,111 individuals |
PGP000662 | Xia X et al. Am J Clin Nutr (2023) |Ext. |
Reported Trait: Incident CAD | HR: 1.37 [1.29, 1.46] | — | — | Age, sex, urbanicity, per-capita household income, educational attainment, family history of CAD, smoking, alcohol consumption, BMI, physical activity, red meat intake, poultry intake, fish intake, hypertension, diabetes, and hypercholesteremia | — |
| PPM021704 | PGS002262 (metaPRS_CAD) |
PSS011752| East Asian Ancestry| 39,164 individuals |
PGP000658 | Hu C et al. Med Sci Sports Exerc (2023) |Ext. |
Reported Trait: Incident CAD | HR: 1.38 [1.3, 1.47] | — | — | Age, sex, cohort source, living geographical zone, urban or rural residents, education attainment, family history of CVD, current smoking status, drinking, healthy diet score, sleep duration, physical activity level, BMI, hypertension, diabetes, and dyslipidemia | — |
| PPM021707 | PGS004925 (PRS300_CHD) |
PSS011755| European Ancestry| 77,500 individuals |
PGP000660 | Kim Y et al. J Intern Med (2023) |
Reported Trait: Incident coronary heart disease | HR: 1.63 [1.49, 1.78] | — | — | Sex, genotype array type, 10 PCs | — |
| PPM021722 | PGS004934 (hypertension_snpnet_combined) |
PSS011762| European Ancestry| 8,417 individuals |
PGP000665 | Moreno-Grau S et al. Human Genomics (2024) |
Reported Trait: Hypertension | OR: 1.42 [1.35, 1.5] | AUROC: 0.72 | — | — | — |
| PPM021739 | PGS004941 (CAD_MetaPRS) |
PSS011772| East Asian Ancestry| 72,149 individuals |
PGP000668 | China Kadoorie Biobank Collaborative Group. et al. Nat Hum Behav (2024) |
Reported Trait: Incident coronary artery disease | HR: 1.42 [1.36, 1.49] | C-index: 0.809 [0.799, 0.819] | — | age, sex | — |
| PPM021742 | PGS000018 (metaGRS_CAD) |
PSS011775| Multi-ancestry (including European)| 199,997 individuals |
PGP000669 | Saadatagah S et al. JACC Adv (2023) |Ext. |
Reported Trait: Coronary heart disease onset > 70 years | — | — | Odds ratio (OR, top 5th percentile vs 20-80th percentile): 1.91 [1.68, 2.17] | Sex, 4 PCs | — |
| PPM021743 | PGS000018 (metaGRS_CAD) |
PSS011775| Multi-ancestry (including European)| 199,997 individuals |
PGP000669 | Saadatagah S et al. JACC Adv (2023) |Ext. |
Reported Trait: Coronary heart disease onset < 50 years | — | — | Odds ratio (OR, top 5th percentile vs 20-80th percentile): 3.25 [2.73, 3.85] | Sex, 4 PCs | — |
| PPM022178 | PGS005091 (PGS_LDP2Auto) |
PSS011830| Multi-ancestry (including European)| 171,095 individuals |
PGP000684 | Abramowitz SA et al. JAMA (2024) |
Reported Trait: Prevalent coronary heart disease | OR: 1.452 [1.427, 1.477] | AUROC: 0.776 | Brier score: 0.0825 | Age, sex | Scores in model are PCA-normalized |
| PPM022179 | PGS005091 (PGS_LDP2Auto) |
PSS011832| Multi-ancestry (including European)| 53,092 individuals |
PGP000684 | Abramowitz SA et al. JAMA (2024) |
Reported Trait: Prevalent coronary heart disease | OR: 1.374 [1.343, 1.406] | AUROC: 0.8 | Brier score: 0.143 | Age, sex, first 5 PCs | Scores in model are PCA-normalized |
| PPM022180 | PGS005091 (PGS_LDP2Auto) |
PSS011831| Multi-ancestry (including European)| 41,193 individuals |
PGP000684 | Abramowitz SA et al. JAMA (2024) |
Reported Trait: Prevalent coronary heart disease | OR: 1.547 [1.506, 1.59] | AUROC: 0.791 | Brier score: 0.1405 | Age, sex | Scores in model are PCA-normalized |
| PPM022181 | PGS005092 (PGS_prscsx) |
PSS011830| Multi-ancestry (including European)| 171,095 individuals |
PGP000684 | Abramowitz SA et al. JAMA (2024) |
Reported Trait: Prevalent coronary heart disease | OR: 1.407 [1.384, 1.43] | AUROC: 0.774 | Brier score: 0.0828 | Age, sex | Scores in model are PCA-normalized |
| PPM022182 | PGS005092 (PGS_prscsx) |
PSS011832| Multi-ancestry (including European)| 53,092 individuals |
PGP000684 | Abramowitz SA et al. JAMA (2024) |
Reported Trait: Prevalent coronary heart disease | OR: 1.384 [1.353, 1.416] | AUROC: 0.801 | Brier score: 0.1425 | Age, sex, first 5 PCs | Scores in model are PCA-normalized |
| PPM022183 | PGS005092 (PGS_prscsx) |
PSS011831| Multi-ancestry (including European)| 41,193 individuals |
PGP000684 | Abramowitz SA et al. JAMA (2024) |
Reported Trait: Prevalent coronary heart disease | OR: 1.562 [1.522, 1.604] | AUROC: 0.793 | Brier score: 0.1402 | Age, sex | Scores in model are PCA-normalized |
| PPM022185 | PGS005094 (ProPRS) |
PSS011833| Multi-ancestry (including European)| 34,177 individuals |
PGP000685 | Yang X et al. Nat Commun (2026) |
Reported Trait: coronary artery disease | HR: 1.05 [1.03, 1.07] OR: 1.07 [1.04, 1.1] |
— | — | age, sex, PC1-10 | — |
| PPM022291 | PGS003727 (GPS_CADEUR) |
PSS011903| Multi-ancestry (including European)| 429 individuals |
PGP000695 | Reeskamp LF et al. JACC Adv (2023) |Ext. |
Reported Trait: Incident coronary artery disease among heterozygous familial hypercholesterolemia variant carriers | HR: 1.31 [0.97, 1.77] | — | — | Age, sex, 5 PCs | — |
| PPM022290 | PGS003727 (GPS_CADEUR) |
PSS011902| European Ancestry| 1,315 individuals |
PGP000695 | Reeskamp LF et al. JACC Adv (2023) |Ext. |
Reported Trait: Incident coronary artery disease among heterozygous familial hypercholesterolemia variant carriers | HR: 1.35 [1.07, 1.7] | — | — | Age, sex, 5 PCs | — |
| PPM022303 | PGS005112 (PGS_CAD) |
PSS011911| Multi-ancestry (including European)| 48,603 individuals |
PGP000701 | Loesch DP et al. Nat Commun (2025) |
Reported Trait: coronary artery disease | OR: 1.45 [1.41, 1.49] | — | — | age, age^2, sex, UKB centre, array, genetic PCS 1-20 | — |
| PPM022314 | PGS005112 (PGS_CAD) |
PSS011912| European Ancestry| 45,356 individuals |
PGP000701 | Loesch DP et al. Nat Commun (2025) |
Reported Trait: coronary artery disease | OR: 1.46 [1.42, 1.5] | — | — | age, age^2, sex, UKB centre, array, genetic PCS 1-20 | — |
| PPM022379 | PGS005158 (PRS19_PAD) |
PSS011930| European Ancestry| 10,836 individuals |
PGP000705 | Zhu K et al. Diabetes Care (2024) |
Reported Trait: Peripheral artery disease in type 2 diabetes x lifestyle interaction | — | — | Hazard ratio (HR, unfavorable lifestyle and high PRS vs. favorable life style and low PRS): 5.03 [2.74, 9.22] | age (continuous, years), sex (male, female), education attainment (college or university degree, A/AS levels or equivalent or O levels/ GCSEs or equivalent or other professional qualifications, or none of the above), Townsend Deprivation Index (continuous), family history of CVD (yes, no), prevalence of hypertension (yes, no), use of antihypertensive medication (yes, no), use of lipid-lowing medication (yes, no), aspirin use (yes, no), diabetes duration (continuous, years), HbA1c (continuous, %), use of diabetes medication (none, only oral medication pills, only insulin, or combination of oral medications and insulin), genotype measurement batch, and the first 10 principal components of ancestry | fig 1 |
| PPM022363 | PGS005143 (Coronary artery disease (PRS-CS; EAS)) |
PSS011925| East Asian Ancestry| 58,625 individuals |
PGP000704 | Jung HU et al. Commun Biol (2025) |
Reported Trait: Coronary artery disease | β: 1.27561 | — | — | age, sex | — |
| PPM022364 | PGS005144 (Hypertension (PRS-CS; EAS)) |
PSS011921| East Asian Ancestry| 37,185 individuals |
PGP000704 | Jung HU et al. Commun Biol (2025) |
Reported Trait: Hypertension | β: 1.71261 | — | — | age, sex | — |
| PPM022372 | PGS005152 (Coronary artery disease (PRS-CSx; EAS+EUR)) |
PSS011925| East Asian Ancestry| 58,625 individuals |
PGP000704 | Jung HU et al. Commun Biol (2025) |
Reported Trait: Coronary artery disease | β: 1.30833 | — | — | age, sex | — |
| PPM022373 | PGS005153 (Hypertension (CT-SLEB; EAS+EUR)) |
PSS011921| East Asian Ancestry| 37,185 individuals |
PGP000704 | Jung HU et al. Commun Biol (2025) |
Reported Trait: Hypertension | β: 2.03809 | — | — | age, sex | — |
| PPM022378 | PGS005158 (PRS19_PAD) |
PSS011930| European Ancestry| 10,836 individuals |
PGP000705 | Zhu K et al. Diabetes Care (2024) |
Reported Trait: Peripheral artery disease in type 2 diabetes | HR: 1.13 [1.03, 1.23] | — | — | age (continuous, years), sex (male, female), Townsend Deprivation Index (continuous), race/ethnicity (White, others), education attainment (college or university degree, A/AS levels or equivalent or O levels/GCSEs or equivalent or other professional qualifications, or none of the above), family history of CVD (yes, no), prevalence of hypertension (yes, no), use of antihypertensive medication (yes, no), use of lipidlowing medication (yes, no), use of aspirin (yes, no), diabetes duration (continuous, years), HbA1c (continuous, %), use of diabetes medication (none, only oral medication pills, or only insulin or combination of oral medications and insulin), genotype measurement batch, the first 10 principal components of ancestry, weighted healthy lifestyle scores (continuous) | ST3 |
| PPM022599 | PGS005217 (PRS_PAD) |
PSS012034| African Ancestry| 6,939 individuals |
PGP000732 | Flores AM et al. JAMA Cardiol (2025) |
Reported Trait: Incident and prevelant peripheral artery disease | OR: 1.26 [1.01, 1.59] | — | R²: 0.051 | age, sex and the first ten principal components of genetic ancestry | — |
| PPM022600 | PGS005217 (PRS_PAD) |
PSS012035| East Asian Ancestry| 1,761 individuals |
PGP000732 | Flores AM et al. JAMA Cardiol (2025) |
Reported Trait: Incident and prevelant peripheral artery disease | OR: 1.6 [1.01, 2.53] | — | R²: 0.11217 | age, sex and the first ten principal components of genetic ancestry | — |
| PPM022601 | PGS005217 (PRS_PAD) |
PSS012036| South Asian Ancestry| 7,680 individuals |
PGP000732 | Flores AM et al. JAMA Cardiol (2025) |
Reported Trait: Incident and prevelant peripheral artery disease | OR: 1.25 [1.07, 1.46] | — | R²: 0.07629 | age, sex and the first ten principal components of genetic ancestry | — |
| PPM022603 | PGS005217 (PRS_PAD) |
PSS012038| African Ancestry| 51,691 individuals |
PGP000732 | Flores AM et al. JAMA Cardiol (2025) |
Reported Trait: Incident and prevelant peripheral artery disease | OR: 1.11 [1.06, 1.16] | — | R²: 0.10751 | age, sex and the first ten principal components of genetic ancestry | — |
| PPM022604 | PGS005217 (PRS_PAD) |
PSS012039| East Asian Ancestry| 5,268 individuals |
PGP000732 | Flores AM et al. JAMA Cardiol (2025) |
Reported Trait: Incident and prevelant peripheral artery disease | OR: 0.98 [0.78, 1.22] | — | R²: 0.16129 | age, sex and the first ten principal components of genetic ancestry | — |
| PPM022605 | PGS005217 (PRS_PAD) |
PSS012040| European Ancestry| 119,167 individuals |
PGP000732 | Flores AM et al. JAMA Cardiol (2025) |
Reported Trait: Incident and prevelant peripheral artery disease | OR: 1.25 [1.22, 1.27] | — | R²: 0.12104 | age, sex and the first ten principal components of genetic ancestry | — |
| PPM022606 | PGS005217 (PRS_PAD) |
PSS012041| Hispanic or Latin American Ancestry| 39,576 individuals |
PGP000732 | Flores AM et al. JAMA Cardiol (2025) |
Reported Trait: Incident and prevelant peripheral artery disease | OR: 1.19 [1.13, 1.25] | — | R²: 0.15203 | age, sex and the first ten principal components of genetic ancestry | — |
| PPM022607 | PGS005217 (PRS_PAD) |
PSS012028| Greater Middle Eastern Ancestry| 509 individuals |
PGP000732 | Flores AM et al. JAMA Cardiol (2025) |
Reported Trait: Incident and prevelant peripheral artery disease | OR: 1.04 [0.62, 1.75] | — | R²: 0.31662 | age, sex and the first ten principal components of genetic ancestry | — |
| PPM022608 | PGS005217 (PRS_PAD) |
PSS012029| South Asian Ancestry| 2,289 individuals |
PGP000732 | Flores AM et al. JAMA Cardiol (2025) |
Reported Trait: Incident and prevelant peripheral artery disease | OR: 1.34 [1.02, 1.74] | — | R²: 0.29674 | age, sex and the first ten principal components of genetic ancestry | — |
| PPM022609 | PGS005217 (PRS_PAD) |
PSS012030| African Ancestry| 1,945 individuals |
PGP000732 | Flores AM et al. JAMA Cardiol (2025) |
Reported Trait: Incident and prevelant peripheral artery disease | OR: 1.24 [0.94, 1.63] | — | R²: 0.11198 | age, sex and the first ten principal components of genetic ancestry | — |
| PPM022610 | PGS005217 (PRS_PAD) |
PSS012031| European Ancestry| 32,139 individuals |
PGP000732 | Flores AM et al. JAMA Cardiol (2025) |
Reported Trait: Incident and prevelant peripheral artery disease | OR: 1.26 [1.17, 1.34] | — | R²: 0.11467 | age, sex and the first ten principal components of genetic ancestry | — |
| PPM022611 | PGS005217 (PRS_PAD) |
PSS012032| Hispanic or Latin American Ancestry| 2,933 individuals |
PGP000732 | Flores AM et al. JAMA Cardiol (2025) |
Reported Trait: Incident and prevelant peripheral artery disease | OR: 1.22 [0.89, 1.67] | — | R²: 0.19935 | age, sex and the first ten principal components of genetic ancestry | — |
| PPM022612 | PGS005217 (PRS_PAD) |
PSS012033| Multi-ancestry (including European)| 304,294 individuals |
PGP000732 | Flores AM et al. JAMA Cardiol (2025) |
Reported Trait: Incident peripheral artery disease | HR: 1.66 [1.61, 1.71] | C-index: 0.731 | — | age, sex and the first ten principal components of genetic ancestry | — |
| PPM022660 | PGS005231 (GRS142_CAD) |
PSS012050| Multi-ancestry (including European)| 8,587 individuals |
PGP000738 | Severance LM et al. JACC Cardiovasc Imaging (2021) |
Reported Trait: coronary artery calcium | OR: 1.33 [1.26, 1.4] | — | — | age, sex | — |
| PPM022661 | PGS005231 (GRS142_CAD) |
PSS012049| Multi-ancestry (including European)| 6,660 individuals |
PGP000738 | Severance LM et al. JACC Cardiovasc Imaging (2021) |
Reported Trait: coronary artery calcium | — | — | Odds ratio (OR, high vs low tertile): 2.68 | age, sex, number of traditional risk factors, family history | — |
| PPM022662 | PGS005231 (GRS142_CAD) |
PSS012049| Multi-ancestry (including European)| 6,660 individuals |
PGP000738 | Severance LM et al. JACC Cardiovasc Imaging (2021) |
Reported Trait: coronary artery calcium with family history of an event | — | — | Odds ratio (OR, high vs low tertile): 2.44 | age, sex, number of traditional risk factors | — |
| PPM022663 | PGS005231 (GRS142_CAD) |
PSS012049| Multi-ancestry (including European)| 6,660 individuals |
PGP000738 | Severance LM et al. JACC Cardiovasc Imaging (2021) |
Reported Trait: coronary artery calcium without family history of an event | — | — | Odds ratio (OR, high vs low tertile): 2.89 | age, sex, number of traditional risk factors | — |
| PPM022598 | PGS005217 (PRS_PAD) |
PSS012027| European Ancestry| 286,356 individuals |
PGP000732 | Flores AM et al. JAMA Cardiol (2025) |
Reported Trait: Incident and prevelant peripheral artery disease | OR: 1.66 [1.62, 1.71] | — | R²: 0.0888 | age, sex and the first ten principal components of genetic ancestry | — |
| PPM022602 | PGS005217 (PRS_PAD) |
PSS012037| Greater Middle Eastern Ancestry| 7,680 individuals |
PGP000732 | Flores AM et al. JAMA Cardiol (2025) |
Reported Trait: Incident and prevelant peripheral artery disease | OR: 1.62 [1.1, 2.44] | — | R²: 0.0826 | age, sex and the first ten principal components of genetic ancestry | — |
| PPM022669 | PGS005236 (CAD_AnnoPred) |
PSS012052| European Ancestry| 407,903 individuals |
PGP000740 | Hu J et al. PLoS Comput Biol (2025) |
Reported Trait: Coronary artery disease | HR: 1.72 | — | — | — | — |
| PPM021385 | PGS000011 (GRS50) |
PSS011720| Ancestry Not Reported| 23,594 individuals |
PGP000650 | Sjögren M et al. Int J Cardiol Heart Vasc (2019) |Ext. |
Reported Trait: Number of hospitilizations for any cause | — | — | Incidence Rate Ratio (IRR, top vs bottom PGS quintiles): 1.1 [1.04, 1.16] | Age, sex, follow up time, hypertension, prevalent diabetes, smoking, ApoA1, ApoB | — |
| PPM022733 | PGS005252 (IAVGC_AS_PRS) |
PSS012066| European Ancestry| 446,895 individuals |
PGP000745 | Small AM et al. Nat Genet (2025) |
Reported Trait: Incident aortic stenosis cases | HR: 1.92 | C-index: 0.87 | — | age, sex, genetic ancestry principal components 1-5, type 2 diabetes, hypertension, coronary artery disease, hyperlipidemia, body mass index, current smoking, renal failure. | — |
| PPM022734 | PGS005252 (IAVGC_AS_PRS) |
PSS012065| European Ancestry| 34,024 individuals |
PGP000745 | Small AM et al. Nat Genet (2025) |
Reported Trait: Any aortic stenosis | OR: 1.43 | — | — | age, sex, genetic ancestry principal components 1-5, type 2 diabetes, hypertension, coronary artery disease, hyperlipidemia, body mass index, current smoking, renal failure. | — |
| PPM022735 | PGS005252 (IAVGC_AS_PRS) |
PSS012064| European Ancestry| 59,866 individuals |
PGP000745 | Small AM et al. Nat Genet (2025) |
Reported Trait: Incident aortic stenosis cases | HR: 1.8 | C-index: 0.76 | — | age, sex, genetic ancestry principal components 1-5, type 2 diabetes, hypertension, coronary artery disease, hyperlipidemia, body mass index, current smoking, renal failure. | — |
| PPM022737 | PGS005254 (aortic_stenosis) |
PSS012068| European Ancestry| 244,450 individuals |
PGP000747 | Kany S et al. Nat Genet (2025) |
Reported Trait: incident aortic stenosis | HR: 1.64 [1.5, 1.78] | — | — | self-reported sex, age at DNA collection, age2 at DNA collection, and the first five principal components of genetic ancestry. | — |
| PPM022738 | PGS005255 (mean_gradient) |
PSS012068| European Ancestry| 244,450 individuals |
PGP000747 | Kany S et al. Nat Genet (2025) |
Reported Trait: incident aortic stenosis | HR: 1.53 [1.4, 1.66] | — | — | self-reported sex, age at DNA collection, age2 at DNA collection, and the first five principal components of genetic ancestry. | — |
| PPM022739 | PGS005256 (peak_velocity) |
PSS012068| European Ancestry| 244,450 individuals |
PGP000747 | Kany S et al. Nat Genet (2025) |
Reported Trait: incident aortic stenosis | HR: 1.53 [1.41, 1.67] | — | — | self-reported sex, age at DNA collection, age2 at DNA collection, and the first five principal components of genetic ancestry. | — |
| PPM022979 | PGS000018 (metaGRS_CAD) |
PSS012083| European Ancestry| 5,093 individuals |
PGP000754 | Liu Y et al. Nat Aging (2024) |Ext. |
Reported Trait: Incident coronary artery disease | HR: 1.68 [1.5, 1.88] β: 0.51613 |
— | — | Baseline age, BMI, systolic BP, total cholesterol, HDL, smoking, exercise, prevelant diabetes, family history, gut microbiome score | — |
| PPM023040 | PGS003725 (GPS_Mult) |
PSS012103| Multi-ancestry (including European)| 663 individuals |
PGP000763 | Zou RS et al. J Am Heart Assoc (2024) |Ext. |
Reported Trait: Stenosis over 50% | OR: 2.39 [1.48, 3.85] | — | — | age, sex, and the first 10 principal components of ancestry | — |
| PPM023041 | PGS003725 (GPS_Mult) |
PSS012103| Multi-ancestry (including European)| 663 individuals |
PGP000763 | Zou RS et al. J Am Heart Assoc (2024) |Ext. |
Reported Trait: Visible non calcified plaque or with vulnerable features | OR: 1.45 [1.23, 1.72] | — | — | age, sex, and the first 10 principal components of ancestry | — |
| PPM023003 | PGS005295 (Jorda_CAD_MTAG-PGS_males_2024) |
PSS012092| European Ancestry| 7,525 individuals |
PGP000759 | Jordà P et al. NPJ Genom Med (2025) |
Reported Trait: Prevalent coronary artery disease defined as myocardial infarction, percutaneous transluminal coronary angioplasty, coronary artery bypass grafting, unstable angina and chronic ischemic heart disease. | — | AUROC: 0.69218 | R²: 0.15544 | age, sex, four first principal components of genetic ancestry | — |
| PPM023004 | PGS005296 (Jorda_CAD_SingleTrait-PGS_2024) |
PSS012090| European Ancestry| 12,677 individuals |
PGP000759 | Jordà P et al. NPJ Genom Med (2025) |
Reported Trait: Prevalent coronary artery disease defined as myocardial infarction, percutaneous transluminal coronary angioplasty, coronary artery bypass grafting, unstable angina and chronic ischemic heart disease. | — | AUROC: 0.772 | R²: 0.27809 | age, sex, four first principal components of genetic ancestry | — |
| PPM023005 | PGS005297 (Jorda_CAD_SingleTrait-PGS_females_2024) |
PSS012091| European Ancestry| 5,152 individuals |
PGP000759 | Jordà P et al. NPJ Genom Med (2025) |
Reported Trait: Prevalent coronary artery disease defined as myocardial infarction, percutaneous transluminal coronary angioplasty, coronary artery bypass grafting, unstable angina and chronic ischemic heart disease. | — | AUROC: 0.68603 | R²: 0.10575 | age, sex, four first principal components of genetic ancestry | — |
| PPM023069 | PGS005322 (PRS_EC) |
PSS012110| European Ancestry| 348,967 individuals |
PGP000768 | Marston NA et al. Nat Med (2025) |
Reported Trait: Incident CAD | HR: 1.23 [1.21, 1.26] | — | — | age, sex, population structure (by principal components 1-5), smoking, LDL-C, systolic blood pressure, HbA1c and hsCRP | — |
| PPM023070 | PGS005322 (PRS_EC) |
PSS012110| European Ancestry| 348,967 individuals |
PGP000768 | Marston NA et al. Nat Med (2025) |
Reported Trait: Incident CAD x LDL-C (150 mg/dl) interaction | HR: 1.26 [1.22, 1.3] | — | — | — | — |
| PPM023071 | PGS005322 (PRS_EC) |
PSS012109| European Ancestry| 8,749 individuals |
PGP000768 | Marston NA et al. Nat Med (2025) |
Reported Trait: Incident CAD in placebo arm | HR: 1.3 [1.1, 1.53] | — | — | — | — |
| PPM023072 | PGS005322 (PRS_EC) |
PSS012109| European Ancestry| 8,749 individuals |
PGP000768 | Marston NA et al. Nat Med (2025) |
Reported Trait: myocardial infarction or coronary revascularization in placebo arm | — | — | Hazard ratio (HR, high vs low tertile): 2.51 [1.27, 4.93] | — | — |
| PPM023073 | PGS005322 (PRS_EC) |
PSS012108| European Ancestry| 14,298 individuals |
PGP000768 | Marston NA et al. Nat Med (2025) |
Reported Trait: major vascular events in placebo arm | HR: 1.16 [1.08, 1.25] | — | — | — | — |
| PPM023039 | PGS003725 (GPS_Mult) |
PSS012103| Multi-ancestry (including European)| 663 individuals |
PGP000763 | Zou RS et al. J Am Heart Assoc (2024) |Ext. |
Reported Trait: Plaque presence (on coronary computed tomography angiography) | OR: 1.42 [1.2, 1.68] | — | — | age, sex, and the first 10 principal components of ancestry | — |
| PPM023001 | PGS005293 (Jorda_CAD_MTAG-PGS_2024) |
PSS012090| European Ancestry| 12,677 individuals |
PGP000759 | Jordà P et al. NPJ Genom Med (2025) |
Reported Trait: Prevalent coronary artery disease defined as myocardial infarction, percutaneous transluminal coronary angioplasty, coronary artery bypass grafting, unstable angina and chronic ischemic heart disease. | — | AUROC: 0.772 | R²: 0.27974 | age, sex, four first principal components of genetic ancestry | — |
| PPM023002 | PGS005294 (Jorda_CAD_MTAG-PGS_females_2024) |
PSS012091| European Ancestry| 5,152 individuals |
PGP000759 | Jordà P et al. NPJ Genom Med (2025) |
Reported Trait: Prevalent coronary artery disease defined as myocardial infarction, percutaneous transluminal coronary angioplasty, coronary artery bypass grafting, unstable angina and chronic ischemic heart disease. | — | AUROC: 0.7 | R²: 0.12154 | age, sex, four first principal components of genetic ancestry | — |
| PPM023006 | PGS005298 (Jorda_CAD_SingleTrait-PGS_males_2024) |
PSS012092| European Ancestry| 7,525 individuals |
PGP000759 | Jordà P et al. NPJ Genom Med (2025) |
Reported Trait: Prevalent coronary artery disease defined as myocardial infarction, percutaneous transluminal coronary angioplasty, coronary artery bypass grafting, unstable angina and chronic ischemic heart disease. | — | AUROC: 0.69191 | R²: 0.15574 | age, sex, four first principal components of genetic ancestry | — |
| PPM030614 | PGS012530 (PRSCAD+) |
PSS012202| East Asian Ancestry| 12,127 individuals |
PGP000787 | Wang H et al. Genomics Proteomics Bioinformatics (2026) |
Reported Trait: coronary artery disease | HR: 1.26 | C-index: 0.649 | — | age, sex, and the first four PCs | — |
| PPM030615 | PGS012530 (PRSCAD+) |
PSS012203| East Asian Ancestry| 5,243 individuals |
PGP000787 | Wang H et al. Genomics Proteomics Bioinformatics (2026) |
Reported Trait: coronary artery disease | OR: 2.23 | AUROC: 0.786 | — | age, sex, and the first four PCs | — |
| PPM030648 | PGS012542 (EN_model_CAD) |
PSS012216| European Ancestry| 122,892 individuals |
PGP000790 | Hu J et al. Genet Med (2026) |
Reported Trait: Coronary artery disease | OR: 1.85 [1.81, 1.9] | AUROC: 0.65 [0.65, 0.66] | — | — | — |
| PPM030652 | PGS012546 (EN_model_PAD) |
PSS012220| European Ancestry| 122,892 individuals |
PGP000790 | Hu J et al. Genet Med (2026) |
Reported Trait: Peripheral arterial disease | OR: 1.57 [1.51, 1.64] | AUROC: 0.62 [0.61, 0.63] | — | — | — |
| PPM030662 | PGS005236 (CAD_AnnoPred) |
PSS012227| European Ancestry| 18,732 individuals |
PGP000794 | Ye Y et al. Front Bioinform (2024) |Ext. |
Reported Trait: CAD | — | AUROC: 0.597 [0.571, 0.623] | AUROC of meta-PRS (PRS_CAD + PRS_IS + PRS_HF) for CAD: 0.598 [0.573, 0.625] | PRS_CAD (PGS Catalog ID: PGS005236) + PRS_IS (this paper) + PRS_HF (this paper) combined to derive meta-PRS | The meta-PRS was constructed by combining PRS_CAD, PRS_IS, and PRS_HF at the PRS level using weights described in the study. Implementation details are available at: https://github.com/JqiHu/meta-PRS-CVD |
| PPM030663 | PGS005236 (CAD_AnnoPred) |
PSS012227| European Ancestry| 18,732 individuals |
PGP000794 | Ye Y et al. Front Bioinform (2024) |Ext. |
Reported Trait: Late CAD | — | AUROC: 0.549 [0.525, 0.573] | AUROC of meta-PRS (PRS_CAD + PRS_IS + PRS_HF) for late CAD: 0.557 [0.532, 0.581] | PRS_CAD (PGS Catalog ID: PGS005236) + PRS_IS (this paper) + PRS_HF (this paper) combined to derive meta-PRS | The meta-PRS was constructed by combining PRS_CAD, PRS_IS, and PRS_HF at the PRS level using weights described in the study. Implementation details are available at: https://github.com/JqiHu/meta-PRS-CVD |
| PPM030664 | PGS005236 (CAD_AnnoPred) |
PSS012227| European Ancestry| 18,732 individuals |
PGP000794 | Ye Y et al. Front Bioinform (2024) |Ext. |
Reported Trait: Early CAD | — | AUROC: 0.604 [0.551, 0.657] | AUROC of meta-PRS (PRS_CAD + PRS_IS + PRS_HF) for early CAD: 0.614 [0.561, 0.665] | PRS_CAD (PGS Catalog ID: PGS005236) + PRS_IS (this paper) + PRS_HF (this paper) combined to derive meta-PRS | The meta-PRS was constructed by combining PRS_CAD, PRS_IS, and PRS_HF at the PRS level using weights described in the study. Implementation details are available at: https://github.com/JqiHu/meta-PRS-CVD |
| PPM022184 | PGS005093 (MetPRS) |
PSS011833| Multi-ancestry (including European)| 34,177 individuals |
PGP000685 | Yang X et al. Nat Commun (2026) |
Reported Trait: coronary artery disease | HR: 1.1 [1.09, 1.12] OR: 1.14 [1.11, 1.17] |
— | — | age, sex, PC1-10 | — |
| PPM030687 | PGS012558 (CAD_EAS_MIXPRSplus) |
PSS012247| East Asian Ancestry| 2,090 individuals |
PGP000799 | Xu L et al. Nat Genet (2026) |
Reported Trait: Coronary artery disease | OR: 1.751 | AUROC: 0.669 | — | — | — |
| PPM030698 | PGS012563 (PRS31_AAA) |
PSS012254| European Ancestry| 449,463 individuals |
PGP000803 | Ma Y et al. Eur Heart J (2024) |
Reported Trait: Incident Abdominal aortic aneurysm | HR: 1.25 [1.19, 1.31] | — | — | age, sex, family income, TDI, education, employment, alcohol consumption status, tobacco consumption status, healthy diet score, physical activity, BMI, eGFR, SBP, HbA1c, lipid profile, anti-hypertensive medication, anti-hyperglycemic medication, lipid-lowering medication, genotyping batch, and the first 10 genetic principal components | — |
| PPM030699 | PGS012563 (PRS31_AAA) |
PSS012254| European Ancestry| 449,463 individuals |
PGP000803 | Ma Y et al. Eur Heart J (2024) |
Reported Trait: Incident Abdominal aortic aneurysm x PM2.5 pollution exposure interaction | — | — | Hazard ratio (HR, high air pollutants exposure and high PRS vs. low air pollutants exposure and low PRS): 3.18 [2.46, 4.12] | age, sex, family income, Townsend deprivation index, education, employment, alcohol consumption status, tobacco consumption status, healthy diet score, physical activity, body mass index, estimated glomerular filtration rate, systolic blood pressure, glycated haemoglobin, lipid profile, anti-hypertensive medication, anti-hyperglycaemic medication, and lipid-lowering medication, genotyping batch, the first 10 genetic principal components | — |
| PPM030700 | PGS012563 (PRS31_AAA) |
PSS012254| European Ancestry| 449,463 individuals |
PGP000803 | Ma Y et al. Eur Heart J (2024) |
Reported Trait: Incident Abdominal aortic aneurysm x PM10 pollution exposure interaction | — | — | Hazard ratio (HR, high air pollutants exposure and high PRS vs. low air pollutants exposure and low PRS): 3.09 [2.39, 4.0] | age, sex, family income, Townsend deprivation index, education, employment, alcohol consumption status, tobacco consumption status, healthy diet score, physical activity, body mass index, estimated glomerular filtration rate, systolic blood pressure, glycated haemoglobin, lipid profile, anti-hypertensive medication, anti-hyperglycaemic medication, and lipid-lowering medication, genotyping batch, the first 10 genetic principal components | — |
| PPM030701 | PGS012563 (PRS31_AAA) |
PSS012254| European Ancestry| 449,463 individuals |
PGP000803 | Ma Y et al. Eur Heart J (2024) |
Reported Trait: Incident Abdominal aortic aneurysm x NO2 pollution exposure interaction | — | — | Hazard ratio (HR, high air pollutants exposure and high PRS vs. low air pollutants exposure and low PRS): 2.41 [1.86, 3.13] | age, sex, family income, Townsend deprivation index, education, employment, alcohol consumption status, tobacco consumption status, healthy diet score, physical activity, body mass index, estimated glomerular filtration rate, systolic blood pressure, glycated haemoglobin, lipid profile, anti-hypertensive medication, anti-hyperglycaemic medication, and lipid-lowering medication, genotyping batch, the first 10 genetic principal components | — |
| PPM030702 | PGS012563 (PRS31_AAA) |
PSS012254| European Ancestry| 449,463 individuals |
PGP000803 | Ma Y et al. Eur Heart J (2024) |
Reported Trait: Incident Abdominal aortic aneurysm x NOx pollution exposure interaction | — | — | Hazard ratio (HR, high air pollutants exposure and high PRS vs. low air pollutants exposure and low PRS): 2.01 [1.55, 2.61] | age, sex, family income, Townsend deprivation index, education, employment, alcohol consumption status, tobacco consumption status, healthy diet score, physical activity, body mass index, estimated glomerular filtration rate, systolic blood pressure, glycated haemoglobin, lipid profile, anti-hypertensive medication, anti-hyperglycaemic medication, and lipid-lowering medication, genotyping batch, the first 10 genetic principal components | — |
| PPM030735 | PGS012581 (PRS169_CAD) |
PSS012270| Multi-ancestry (including European)| 453,102 individuals |
PGP000814 | Zheng J et al. J Intern Med (2024) |
Reported Trait: Coronary artery disease | — | — | Hazard ratio (HR, high vs low tertile): 1.79 [1.72, 1.86] | major cardiovascular risk factors: Age, sex, ethnicity, the TDI, level of education, annual household income, BMI, smoking status, alcohol intake, physical activity (weekly metabolic equivalent minutes ≥600), vitamin supplementation, and comorbidities that may increase the risk of infections (i.e., hypertension, diabetes, high cholesterol, liver disease, kidney disease, and digestive disease) | — |
| PPM030736 | PGS012581 (PRS169_CAD) |
PSS012271| Multi-ancestry (excluding European)| 27,426 individuals |
PGP000814 | Zheng J et al. J Intern Med (2024) |
Reported Trait: Coronary artery disease x infectious disease interaction | — | — | Hazard ratio (HR, with high infection and high PRS vs. no infection and low PRS): 3.41 [1.67, 5.28] | sex, age (timescale), the Townsend Deprivation Index, level of education, annual household income, body mass index, smoking status, alcohol intake, physical activity, vitamin supplementation, hypertension, diabetes, high cholesterol, liver disease, kidney disease, and digestive disease | — |
| PPM036556 | PGS000329 (PRS_CHD) |
PSS012311| European Ancestry| 943 individuals |
PGP000828 | Kujala I et al. J Atheroscler Thromb (2024) |Ext. |
Reported Trait: Coronary atherosclerosis | OR: 1.4 [1.21, 1.62] | — | — | age, sex, hypertension, diabetes, smoking, dyslipidemia, family history of premature CAD and symptoms | — |
| PPM036559 | PGS000329 (PRS_CHD) |
PSS012311| European Ancestry| 943 individuals |
PGP000828 | Kujala I et al. J Atheroscler Thromb (2024) |Ext. |
Reported Trait: Obstructive CAD | OR: 1.25 [1.07, 1.46] | AUROC: 0.561 | — | age, sex, hypertension, diabetes, smoking, dyslipidemia, family history of premature CAD and symptoms | — |
| PPM036562 | PGS000329 (PRS_CHD) |
PSS012311| European Ancestry| 943 individuals |
PGP000828 | Kujala I et al. J Atheroscler Thromb (2024) |Ext. |
Reported Trait: coronary atherosclerosis | OR: 1.25 [1.07, 1.46] | AUROC: 0.589 | — | — | — |
| PPM036563 | PGS000018 (metaGRS_CAD) |
PSS012311| European Ancestry| 943 individuals |
PGP000828 | Kujala I et al. J Atheroscler Thromb (2024) |Ext. |
Reported Trait: coronary atherosclerosis | OR: 1.68 [1.42, 1.97] | AUROC: 0.635 | — | — | — |
| PPM036565 | PGS000058 (CAD_GRS_204) |
PSS012312| Multi-ancestry (including European)| 49,230 individuals |
PGP000829 | Kwak SH et al. Diabetes Care (2024) |Ext. |
Reported Trait: Incident cardiovascular disease in type 2 diabetes | HR: 1.14 [1.12, 1.16] | — | — | age at diagnosis of T2D, sex, principal components | — |
| PPM036566 | PGS000011 (GRS50) |
PSS012313| Hispanic or Latin American Ancestry| 133,207 individuals |
PGP000830 | Liu T et al. Eur J Prev Cardiol (2026) |Ext. |
Reported Trait: Coronary heart disease | OR: 1.05 [1.03, 1.08] | AUROC: 0.745 [0.739, 0.752] | — | age, sex, PC1-PC7, baseline waist-to-hip ratio, systolic and diastolic blood pressure, smoking status, level of education, and diabetes | — |
| PPM036567 | PGS004595 (PRS_CHD) |
PSS012313| Hispanic or Latin American Ancestry| 133,207 individuals |
PGP000830 | Liu T et al. Eur J Prev Cardiol (2026) |Ext. |
Reported Trait: Coronary heart disease | OR: 1.09 [1.06, 1.13] | AUROC: 0.746 [0.739, 0.752] | — | age, sex, PC1-PC7, baseline waist-to-hip ratio, systolic and diastolic blood pressure, smoking status, level of education, and diabetes | — |
| PPM036568 | PGS000337 (MetaPRS_CAD) |
PSS012313| Hispanic or Latin American Ancestry| 133,207 individuals |
PGP000830 | Liu T et al. Eur J Prev Cardiol (2026) |Ext. |
Reported Trait: Coronary heart disease | OR: 1.2 [1.17, 1.23] | AUROC: 0.748 [0.742, 0.754] | — | age, sex, PC1-PC7, baseline waist-to-hip ratio, systolic and diastolic blood pressure, smoking status, level of education, and diabetes | — |
| PPM036569 | PGS003446 (TEM_CAD_PRS) |
PSS012313| Hispanic or Latin American Ancestry| 133,207 individuals |
PGP000830 | Liu T et al. Eur J Prev Cardiol (2026) |Ext. |
Reported Trait: Coronary heart disease | OR: 1.16 [1.12, 1.2] | AUROC: 0.746 [0.74, 0.753] | — | age, sex, PC1-PC7, baseline waist-to-hip ratio, systolic and diastolic blood pressure, smoking status, level of education, and diabetes | — |
| PPM036570 | PGS001780 (CHD_PRSCS) |
PSS012313| Hispanic or Latin American Ancestry| 133,207 individuals |
PGP000830 | Liu T et al. Eur J Prev Cardiol (2026) |Ext. |
Reported Trait: Coronary heart disease | OR: 1.2 [1.16, 1.23] | AUROC: 0.748 [0.741, 0.754] | — | age, sex, PC1-PC7, baseline waist-to-hip ratio, systolic and diastolic blood pressure, smoking status, level of education, and diabetes | — |
| PPM036571 | PGS003725 (GPS_Mult) |
PSS012313| Hispanic or Latin American Ancestry| 133,207 individuals |
PGP000830 | Liu T et al. Eur J Prev Cardiol (2026) |Ext. |
Reported Trait: Coronary heart disease | OR: 1.24 [1.2, 1.28] | AUROC: 0.749 [0.743, 0.755] | — | age, sex, PC1-PC7, baseline waist-to-hip ratio, systolic and diastolic blood pressure, smoking status, level of education, and diabetes | — |
| PPM036574 | PGS000011 (GRS50) |
PSS012314| Hispanic or Latin American Ancestry| 43,338 individuals |
PGP000830 | Liu T et al. Eur J Prev Cardiol (2026) |Ext. |
Reported Trait: Coronary heart disease | OR: 1.05 [1.01, 1.1] | AUROC: 0.719 [0.709, 0.729] | — | age, sex, PC1-PC7, baseline waist-to-hip ratio, systolic and diastolic blood pressure, smoking status, level of education, and diabetes | — |
| PPM036575 | PGS004595 (PRS_CHD) |
PSS012314| Hispanic or Latin American Ancestry| 43,338 individuals |
PGP000830 | Liu T et al. Eur J Prev Cardiol (2026) |Ext. |
Reported Trait: Coronary heart disease | OR: 1.12 [1.07, 1.16] | AUROC: 0.72 [0.71, 0.73] | — | age, sex, PC1-PC7, baseline waist-to-hip ratio, systolic and diastolic blood pressure, smoking status, level of education, and diabetes | — |
| PPM036576 | PGS000337 (MetaPRS_CAD) |
PSS012314| Hispanic or Latin American Ancestry| 43,338 individuals |
PGP000830 | Liu T et al. Eur J Prev Cardiol (2026) |Ext. |
Reported Trait: Coronary heart disease | OR: 1.27 [1.22, 1.33] | AUROC: 0.726 [0.716, 0.736] | — | age, sex, PC1-PC7, baseline waist-to-hip ratio, systolic and diastolic blood pressure, smoking status, level of education, and diabetes | — |
| PPM036577 | PGS003446 (TEM_CAD_PRS) |
PSS012314| Hispanic or Latin American Ancestry| 43,338 individuals |
PGP000830 | Liu T et al. Eur J Prev Cardiol (2026) |Ext. |
Reported Trait: Coronary heart disease | OR: 1.28 [1.21, 1.34] | AUROC: 0.724 [0.714, 0.734] | — | age, sex, PC1-PC7, baseline waist-to-hip ratio, systolic and diastolic blood pressure, smoking status, level of education, and diabetes | — |
| PPM036578 | PGS001780 (CHD_PRSCS) |
PSS012314| Hispanic or Latin American Ancestry| 43,338 individuals |
PGP000830 | Liu T et al. Eur J Prev Cardiol (2026) |Ext. |
Reported Trait: Coronary heart disease | OR: 1.26 [1.21, 1.32] | AUROC: 0.725 [0.715, 0.735] | — | age, sex, PC1-PC7, baseline waist-to-hip ratio, systolic and diastolic blood pressure, smoking status, level of education, and diabetes | — |
| PPM036579 | PGS003725 (GPS_Mult) |
PSS012314| Hispanic or Latin American Ancestry| 43,338 individuals |
PGP000830 | Liu T et al. Eur J Prev Cardiol (2026) |Ext. |
Reported Trait: Coronary heart disease | OR: 1.33 [1.27, 1.39] | AUROC: 0.729 [0.719, 0.738] | — | age, sex, PC1-PC7, baseline waist-to-hip ratio, systolic and diastolic blood pressure, smoking status, level of education, and diabetes | — |
| PPM036582 | PGS000011 (GRS50) |
PSS012315| Hispanic or Latin American Ancestry| 89,869 individuals |
PGP000830 | Liu T et al. Eur J Prev Cardiol (2026) |Ext. |
Reported Trait: Coronary heart disease | OR: 1.05 [1.01, 1.09] | AUROC: 0.746 [0.737, 0.755] | — | age, sex, PC1-PC7, baseline waist-to-hip ratio, systolic and diastolic blood pressure, smoking status, level of education, and diabetes | — |
| PPM036583 | PGS004595 (PRS_CHD) |
PSS012315| Hispanic or Latin American Ancestry| 89,869 individuals |
PGP000830 | Liu T et al. Eur J Prev Cardiol (2026) |Ext. |
Reported Trait: Coronary heart disease | OR: 1.08 [1.03, 1.12] | AUROC: 0.746 [0.738, 0.755] | — | age, sex, PC1-PC7, baseline waist-to-hip ratio, systolic and diastolic blood pressure, smoking status, level of education, and diabetes | — |
| PPM036584 | PGS000337 (MetaPRS_CAD) |
PSS012315| Hispanic or Latin American Ancestry| 89,869 individuals |
PGP000830 | Liu T et al. Eur J Prev Cardiol (2026) |Ext. |
Reported Trait: Coronary heart disease | OR: 1.14 [1.1, 1.19] | AUROC: 0.747 [0.738, 0.756] | — | age, sex, PC1-PC7, baseline waist-to-hip ratio, systolic and diastolic blood pressure, smoking status, level of education, and diabetes | — |
| PPM036585 | PGS003446 (TEM_CAD_PRS) |
PSS012315| Hispanic or Latin American Ancestry| 89,869 individuals |
PGP000830 | Liu T et al. Eur J Prev Cardiol (2026) |Ext. |
Reported Trait: Coronary heart disease | OR: 1.07 [1.02, 1.12] | AUROC: 0.746 [0.737, 0.754] | — | age, sex, PC1-PC7, baseline waist-to-hip ratio, systolic and diastolic blood pressure, smoking status, level of education, and diabetes | — |
| PPM036586 | PGS001780 (CHD_PRSCS) |
PSS012315| Hispanic or Latin American Ancestry| 89,869 individuals |
PGP000830 | Liu T et al. Eur J Prev Cardiol (2026) |Ext. |
Reported Trait: Coronary heart disease | OR: 1.15 [1.1, 1.19] | AUROC: 0.747 [0.738, 0.756] | — | age, sex, PC1-PC7, baseline waist-to-hip ratio, systolic and diastolic blood pressure, smoking status, level of education, and diabetes | — |
| PPM036587 | PGS003725 (GPS_Mult) |
PSS012315| Hispanic or Latin American Ancestry| 89,869 individuals |
PGP000830 | Liu T et al. Eur J Prev Cardiol (2026) |Ext. |
Reported Trait: Coronary heart disease | OR: 1.17 [1.13, 1.22] | AUROC: 0.747 [0.739, 0.756] | — | age, sex, PC1-PC7, baseline waist-to-hip ratio, systolic and diastolic blood pressure, smoking status, level of education, and diabetes | — |
| PPM036557 | PGS000018 (metaGRS_CAD) |
PSS012311| European Ancestry| 943 individuals |
PGP000828 | Kujala I et al. J Atheroscler Thromb (2024) |Ext. |
Reported Trait: Coronary atherosclerosis | OR: 1.62 [1.39, 1.89] | — | — | age, sex, hypertension, diabetes, smoking, dyslipidemia, family history of premature CAD and symptoms | — |
| PPM036558 | PGS000013 (GPS_CAD) |
PSS012311| European Ancestry| 943 individuals |
PGP000828 | Kujala I et al. J Atheroscler Thromb (2024) |Ext. |
Reported Trait: Coronary atherosclerosis | OR: 1.62 [1.39, 1.88] | — | — | age, sex, hypertension, diabetes, smoking, dyslipidemia, family history of premature CAD and symptoms | — |
| PPM036560 | PGS000018 (metaGRS_CAD) |
PSS012311| European Ancestry| 943 individuals |
PGP000828 | Kujala I et al. J Atheroscler Thromb (2024) |Ext. |
Reported Trait: Obstructive CAD | OR: 1.68 [1.42, 1.97] | AUROC: 0.63 | — | age, sex, hypertension, diabetes, smoking, dyslipidemia, family history of premature CAD and symptoms | — |
| PPM036561 | PGS000013 (GPS_CAD) |
PSS012311| European Ancestry| 943 individuals |
PGP000828 | Kujala I et al. J Atheroscler Thromb (2024) |Ext. |
Reported Trait: Obstructive CAD | OR: 1.7 [1.44, 2.01] | AUROC: 0.64 | — | age, sex, hypertension, diabetes, smoking, dyslipidemia, family history of premature CAD and symptoms | — |
| PPM036564 | PGS000013 (GPS_CAD) |
PSS012311| European Ancestry| 943 individuals |
PGP000828 | Kujala I et al. J Atheroscler Thromb (2024) |Ext. |
Reported Trait: coronary atherosclerosis | OR: 1.7 [1.44, 2.01] | AUROC: 0.63 | — | — | — |
| PPM036572 | PGS000018 (metaGRS_CAD) |
PSS012313| Hispanic or Latin American Ancestry| 133,207 individuals |
PGP000830 | Liu T et al. Eur J Prev Cardiol (2026) |Ext. |
Reported Trait: Coronary heart disease | OR: 1.19 [1.15, 1.23] | AUROC: 0.747 [0.741, 0.753] | — | age, sex, PC1-PC7, baseline waist-to-hip ratio, systolic and diastolic blood pressure, smoking status, level of education, and diabetes | — |
| PPM036573 | PGS000013 (GPS_CAD) |
PSS012313| Hispanic or Latin American Ancestry| 133,207 individuals |
PGP000830 | Liu T et al. Eur J Prev Cardiol (2026) |Ext. |
Reported Trait: Coronary heart disease | OR: 1.17 [1.14, 1.2] | AUROC: 0.747 [0.741, 0.754] C-index: 0.749 [0.743, 0.755] |
— | age, sex, PC1-PC7, baseline waist-to-hip ratio, systolic and diastolic blood pressure, smoking status, level of education, and diabetes | — |
| PPM036580 | PGS000018 (metaGRS_CAD) |
PSS012314| Hispanic or Latin American Ancestry| 43,338 individuals |
PGP000830 | Liu T et al. Eur J Prev Cardiol (2026) |Ext. |
Reported Trait: Coronary heart disease | OR: 1.27 [1.21, 1.34] | AUROC: 0.724 [0.714, 0.734] | — | age, sex, PC1-PC7, baseline waist-to-hip ratio, systolic and diastolic blood pressure, smoking status, level of education, and diabetes | — |
| PPM036581 | PGS000013 (GPS_CAD) |
PSS012314| Hispanic or Latin American Ancestry| 43,338 individuals |
PGP000830 | Liu T et al. Eur J Prev Cardiol (2026) |Ext. |
Reported Trait: Coronary heart disease | OR: 1.24 [1.19, 1.29] | AUROC: 0.724 [0.715, 0.734] | — | age, sex, PC1-PC7, baseline waist-to-hip ratio, systolic and diastolic blood pressure, smoking status, level of education, and diabetes | — |
| PPM036588 | PGS000018 (metaGRS_CAD) |
PSS012315| Hispanic or Latin American Ancestry| 89,869 individuals |
PGP000830 | Liu T et al. Eur J Prev Cardiol (2026) |Ext. |
Reported Trait: Coronary heart disease | OR: 1.13 [1.08, 1.16] | AUROC: 0.747 [0.738, 0.755] | — | age, sex, PC1-PC7, baseline waist-to-hip ratio, systolic and diastolic blood pressure, smoking status, level of education, and diabetes | — |
| PPM036589 | PGS000013 (GPS_CAD) |
PSS012315| Hispanic or Latin American Ancestry| 89,869 individuals |
PGP000830 | Liu T et al. Eur J Prev Cardiol (2026) |Ext. |
Reported Trait: Coronary heart disease | OR: 1.12 [1.08, 1.16] | AUROC: 0.747 [0.738, 0.755] | — | age, sex, PC1-PC7, baseline waist-to-hip ratio, systolic and diastolic blood pressure, smoking status, level of education, and diabetes | — |
| PPM036536 | PGS018408 (MultiPRS_coronary-heart-disease) |
PSS012292| European Ancestry| 10,135 individuals |
PGP000826 | Ometto S et al. Nat Commun (2026) |
Reported Trait: Prevalent Coronary heart disease | OR: 3.14 | AUROC: 0.6996 | — | age, sex, body surface area, PC1-PC20 | Multi-PRS + baseline (diagnostic). OR per 1 SD of PRS (logOR=1.1441); DeLong p=0.4525863322595239. Sex='Both' (male/female strata also in Suppl. Data 27). |
| PPM036537 | PGS018408 (MultiPRS_coronary-heart-disease) |
PSS012293| European Ancestry| 12,832 individuals |
PGP000826 | Ometto S et al. Nat Commun (2026) |
Reported Trait: Incident Coronary heart disease (1-10 yr) | HR: 1.07 [1.05, 1.08] OR: 2.5 |
AUROC: 0.6568 | — | age, sex, body surface area, PC1-PC20 | Multi-PRS + baseline (prognostic, 1-10 yr). OR per 1 SD (logOR=0.9148); HR per SD of PRS from Cox model (col D); DeLong p=0.3953316390827512. Sex='Both'. |
| PPM036538 | PGS018408 (MultiPRS_coronary-heart-disease) |
PSS012294| European Ancestry| 27,939 individuals |
PGP000826 | Ometto S et al. Nat Commun (2026) |
Reported Trait: Coronary heart disease | OR: 2.66 | AUROC: 0.6669 | — | age, sex, body surface area, PC1-PC20 | Multi-PRS + baseline (whole cohort). OR per 1 SD (logOR=0.9788); DeLong p=0.0328749776164314. Sex='Both'. |
| PPM037314 | PGS019132 (TPMI_401.1_Lassosum2) |
PSS013029| East Asian Ancestry| 18,140 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Essential hypertension | — | AUROC: 0.64517 | R²: 0.08407 | sex, age, array, PCs 1-10 | — |
| PPM037315 | PGS019133 (TPMI_401.1_LDpred2) |
PSS013028| East Asian Ancestry| 18,140 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Essential hypertension | — | AUROC: 0.6541 | R²: 0.09525 | sex, age, array, PCs 1-10 | — |
| PPM037316 | PGS019134 (TPMI_401.1_MegaPRS) |
PSS013030| East Asian Ancestry| 18,140 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Essential hypertension | — | AUROC: 0.64663 | R²: 0.08712 | sex, age, array, PCs 1-10 | — |
| PPM037318 | PGS019136 (TPMI_401.1_PRSmix+) |
PSS013032| East Asian Ancestry| 18,140 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Essential hypertension | — | AUROC: 0.67044 | R²: 0.11574 | sex, age, array, PCs 1-10 | — |
| PPM037319 | PGS019137 (TPMI_401.1_SBayesR) |
PSS013033| East Asian Ancestry| 18,140 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Essential hypertension | — | AUROC: 0.63722 | R²: 0.0764 | sex, age, array, PCs 1-10 | — |
| PPM037327 | PGS019145 (TPMI_401.3_LDpred2) |
PSS013046| East Asian Ancestry| 17,975 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Other hypertensive complications | — | AUROC: 0.64963 | R²: 0.03411 | sex, age, array, PCs 1-10 | — |
| PPM037328 | PGS019146 (TPMI_401.3_MegaPRS) |
PSS013048| East Asian Ancestry| 17,975 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Other hypertensive complications | — | AUROC: 0.64084 | R²: 0.03018 | sex, age, array, PCs 1-10 | — |
| PPM037329 | PGS019147 (TPMI_401.3_PRS-CS) |
PSS013049| East Asian Ancestry| 17,975 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Other hypertensive complications | — | AUROC: 0.64609 | R²: 0.03227 | sex, age, array, PCs 1-10 | — |
| PPM037330 | PGS019148 (TPMI_401.3_SBayesR) |
PSS013050| East Asian Ancestry| 17,975 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Other hypertensive complications | — | AUROC: 0.62768 | R²: 0.02473 | sex, age, array, PCs 1-10 | — |
| PPM037347 | PGS019165 (TPMI_411.4_Lassosum2) |
PSS013063| East Asian Ancestry| 18,061 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Coronary atherosclerosis | — | AUROC: 0.65583 | R²: 0.05877 | sex, age, array, PCs 1-10 | — |
| PPM037349 | PGS019167 (TPMI_411.4_MegaPRS) |
PSS013064| East Asian Ancestry| 18,061 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Coronary atherosclerosis | — | AUROC: 0.6572 | R²: 0.05946 | sex, age, array, PCs 1-10 | — |
| PPM037350 | PGS019168 (TPMI_411.4_PRS-CS) |
PSS013065| East Asian Ancestry| 18,061 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Coronary atherosclerosis | — | AUROC: 0.65935 | R²: 0.06076 | sex, age, array, PCs 1-10 | — |
| PPM037351 | PGS019169 (TPMI_411.4_SBayesR) |
PSS013066| East Asian Ancestry| 18,061 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Coronary atherosclerosis | — | AUROC: 0.65377 | R²: 0.05819 | sex, age, array, PCs 1-10 | — |
| PPM037412 | PGS019230 (TPMI_433.2_Lassosum2) |
PSS013133| East Asian Ancestry| 18,165 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Occlusion of cerebral arteries | — | AUROC: 0.64904 | R²: 0.05282 | sex, age, array, PCs 1-10 | — |
| PPM037413 | PGS019231 (TPMI_433.2_LDpred2) |
PSS013132| East Asian Ancestry| 18,165 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Occlusion of cerebral arteries | — | AUROC: 0.64962 | R²: 0.0533 | sex, age, array, PCs 1-10 | — |
| PPM037414 | PGS019232 (TPMI_433.2_MegaPRS) |
PSS013134| East Asian Ancestry| 18,165 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Occlusion of cerebral arteries | — | AUROC: 0.64321 | R²: 0.04993 | sex, age, array, PCs 1-10 | — |
| PPM037415 | PGS019233 (TPMI_433.2_PRS-CS) |
PSS013135| East Asian Ancestry| 18,165 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Occlusion of cerebral arteries | — | AUROC: 0.65154 | R²: 0.05411 | sex, age, array, PCs 1-10 | — |
| PPM037416 | PGS019234 (TPMI_433.2_SBayesR) |
PSS013136| East Asian Ancestry| 18,165 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Occlusion of cerebral arteries | — | AUROC: 0.64638 | R²: 0.05144 | sex, age, array, PCs 1-10 | — |
| PPM037432 | PGS019250 (TPMI_433.21_Lassosum2) |
PSS013128| East Asian Ancestry| 17,922 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Cerebral artery occlusion with cerebral infarction | — | AUROC: 0.66398 | R²: 0.03769 | sex, age, array, PCs 1-10 | — |
| PPM037433 | PGS019251 (TPMI_433.21_LDpred2) |
PSS013127| East Asian Ancestry| 17,922 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Cerebral artery occlusion with cerebral infarction | — | AUROC: 0.66506 | R²: 0.03875 | sex, age, array, PCs 1-10 | — |
| PPM037434 | PGS019252 (TPMI_433.21_MegaPRS) |
PSS013129| East Asian Ancestry| 17,922 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Cerebral artery occlusion with cerebral infarction | — | AUROC: 0.66288 | R²: 0.03706 | sex, age, array, PCs 1-10 | — |
| PPM037435 | PGS019253 (TPMI_433.21_PRS-CS) |
PSS013130| East Asian Ancestry| 17,922 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Cerebral artery occlusion with cerebral infarction | — | AUROC: 0.67066 | R²: 0.04063 | sex, age, array, PCs 1-10 | — |
| PPM037317 | PGS019135 (TPMI_401.1_PRS-CS) |
PSS013031| East Asian Ancestry| 18,140 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Essential hypertension | — | AUROC: 0.65139 | R²: 0.09149 | sex, age, array, PCs 1-10 | — |
| PPM037326 | PGS019144 (TPMI_401.3_Lassosum2) |
PSS013047| East Asian Ancestry| 17,975 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Other hypertensive complications | — | AUROC: 0.64011 | R²: 0.02989 | sex, age, array, PCs 1-10 | — |
| PPM037348 | PGS019166 (TPMI_411.4_LDpred2) |
PSS013062| East Asian Ancestry| 18,061 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Coronary atherosclerosis | — | AUROC: 0.65898 | R²: 0.06045 | sex, age, array, PCs 1-10 | — |
| PPM037436 | PGS019254 (TPMI_433.21_SBayesR) |
PSS013131| East Asian Ancestry| 17,922 individuals |
PGP000835 | Chen HH et al. Nature (2025) |
Reported Trait: Cerebral artery occlusion with cerebral infarction | — | AUROC: 0.66335 | R²: 0.03789 | sex, age, array, PCs 1-10 | — |
|
PGS Sample Set ID (PSS) |
Phenotype Definitions and Methods | Participant Follow-up Time | Sample Numbers | Age of Study Participants | Sample Ancestry | Additional Ancestry Description | Cohort(s) | Additional Sample/Cohort Information |
|---|---|---|---|---|---|---|---|---|
| PSS012202 | I20-I25 | — | [ ,
43.33 % Male samples |
Mean = 60.0 years | East Asian (Chinese) |
— | DFTJ | — |
| PSS012203 | CAD was defined by coronary angiography as ≥50% stenosis in ≥1 major coronary artery, which manifested as occult CAD | — | [ ,
64.3 % Male samples |
Mean = 58.0 years | East Asian (Chinese) |
— | GRAND | — |
| PSS000008 | Coronary heart disease represented a composite of fatal or non-fatal myocardial infarction, coronary artery bypass grafting, or percutaneous coronary intervention | — | 27,271 individuals, 38.7 % Male samples |
— | European (Swedish) |
— | MDC | Primary prevention cohorts |
| PSS000008 | Coronary heart disease represented a composite of fatal or non-fatal myocardial infarction, coronary artery bypass grafting, or percutaneous coronary intervention | — | [ ,
67.8 % Male samples |
— | European | — | JUPITER | Primary prevention cohorts |
| PSS000008 | Coronary heart disease represented a composite of fatal or non-fatal myocardial infarction, coronary artery bypass grafting, or percutaneous coronary intervention | — | [ ,
79.7 % Male samples |
— | European | — | ASCOT | Primary prevention cohorts |
| PSS000009 | Coronary heart disease represented a composite of fatal or non-fatal myocardial infarction, coronary artery bypass grafting, or percutaneous coronary intervention | — | [ ,
86.1 % Male samples |
— | European | — | CARE_b | Secondary prevention cohorts |
| PSS000009 | Coronary heart disease represented a composite of fatal or non-fatal myocardial infarction, coronary artery bypass grafting, or percutaneous coronary intervention | — | [ ,
77.5 % Male samples |
— | European | — | PROVEIT | Secondary prevention cohorts |
| PSS011442 | — | — | [ ,
77.0 % Male samples |
Mean = 26.7 years | European | — | PDAY | — |
| PSS011441 | — | — | [ ,
82.0 % Male samples |
Mean = 27.5 years | African unspecified | — | PDAY | — |
| PSS000010 | Incident CHD was defined as coronary revascularization, fatal or nonfatal myocardial infarction, or death due to ischemic heart disease. | — | [ ,
38.03 % Male samples |
— | European (Swedish) |
— | MDC | Prospective study |
| PSS000011 | The main outcome of interest was incident CHD event before age 75y. We used the definition of CHD as employed by the Framingham study, namely, one of • MI recognized, with diagnostic ECG (FHS event code #1) • MI recognized, without diagnostic ECG, with enzymes and history (#2) • MI recognized, without diagnostic ECG, with autopsy evidence (new event) (#3) • MI unrecognized, silent (#4) • MI unrecognized, not silent (#5) • Angina pectoris (AP), first episode only (#6) • Coronary insufficiency (CI), definite by both history and ECG (#7) • Questionable MI at exam 1 (#8) • Acute MI by autopsy, previously coded as 1 or 2 (#9) • Death, CHD sudden, with 1 hour (#21) • Death, CHD 1–23 hours, non sudden (#22) • Death, CHD 24-47 hours, non sudden (#23) • Death, CHD, 48 hours or more, non sudden (#24) | — | [ ,
45.0 % Male samples |
— | European | — | FHS | FHS Original, FHS Offspring |
| PSS000012 | Coronary heart disease (CHD) was defined as falling into any of the following categories: • I21 or I22 (ICD-10) / 410 (ICD-8/9) as the direct or as a contributing cause of death or I20-I25 (ICD-10) /410-414 (ICD-9) as the underlying cause of death • I21 or I22 (ICD-10) / 410 (ICD-8/9) as the main or secondary diagnosis at hospital discharge. • Coronary bypass surgery or coronary angioplasty at hospital discharge or identified from the Finnish registry of invasive cardiac procedures. | — | [ ,
46.0 % Male samples |
— | European (Finnish) |
— | FINRISK | FR92, FR97, FR02 |
| PSS011446 | — | — | [
|
— | African unspecified | — | ARIC, CHS, MESA, WHI, eMERGE | — |
| PSS011447 | — | — | [
|
— | East Asian | — | BBJ, OACIS, TaiChi | — |
| PSS011448 | — | — | [
|
— | European | — | ARIC, CHS, MESA, WHI, eMERGE | — |
| PSS011449 | — | — | [
|
— | Hispanic or Latin American | — | MESA, WHI, eMERGE | — |
| PSS011450 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS000015 | CAD ascertainment was based on a composite of myocardial infarction or coronary revascularization. Myocardial infarction was based on self-report or hospital admission diagnosis, as performed centrally. This included individuals with ICD-9 codes of 410.X, 411.0, 412.X, or 429.79, or ICD-10 codes of I21.X, I22.X, I23.X, I24.1, or I25.2 in hospitalization records. Coronary revascularization was assessed based on an OPCS-4 coded procedure for coronary artery bypass grafting (K40.1–40.4, K41.1–41.4, or K45.1–45.5), or coronary angioplasty with or without stenting (K49.1–49.2, K49.8–49.9, K50.2, K75.1–75.4, or K75.8–75.9). | — | [
|
— | European | — | UKB | UKB Phase 2 |
| PSS000018 | CAD was defined as fatal or nonfatal myocardial infarction (MI) cases, percutaneous transluminal coronary angioplasty (PTCA), or coronary artery bypass grafting (CABG). Prevalent versus incident status was relative to the UKB enrollment assessment. In UKB self-reported data, cases were defined as having had a heart attack diagnosed by a doctor (data field #6150); “non-cancer illnesses that self-reported as heart attack” (data field #20002); or self-reported operation including PTCA, CABG, or triple heart bypass (data field #20004). In HES hospital episodes data and death registry data, MI was defined as hospital admission or cause of death due to ICD-9 410 to 412, or ICD-10 I21 to I24 or I25.2; CABG and PTCA were defined as hospital admission OPCS-4 K40 to K46, K49, K50.1,or K75. | — | [ ,
45.6 % Male samples |
— | European, NR | ~95% European ancestry samples, <5% non-European ancestry | UKB | — |
| PSS000019 | Prevalent Coronary artery disease (CAD), where CAD is defined as previous diagnosis of myocardial infarction or revascularization procedures (percutaneous coronary intervention or coronary artery bypass grafting). | — | [ ,
41.29 % Male samples |
— | European (French Canadian) |
— | CARTaGENE | — |
| PSS000020 | Recurrent CAD event during the follow- up period (median follow-up time =3.9 years [range =1.1–7), where CAD is defined as previous diagnosis of myocardial infarction or revascularization procedures (percutaneous coronary intervention or coronary artery bypass grafting). | — | [
|
— | European (French Canadian) |
— | MHI | Phase 1 |
| PSS000020 | Recurrent CAD event during the follow- up period (median follow-up time =3.9 years [range =1.1–7), where CAD is defined as previous diagnosis of myocardial infarction or revascularization procedures (percutaneous coronary intervention or coronary artery bypass grafting). | — | [
|
— | European (French Canadian) |
— | MHI | Phase 2 |
| PSS000021 | Prevalent Coronary artery disease (CAD), where CAD is defined as previous diagnosis of myocardial infarction or revascularization procedures (percutaneous coronary intervention or coronary artery bypass grafting). | — | [ ,
72.7 % Male samples |
— | European (French Canadian) |
— | MHI | Phase 1 |
| PSS000022 | Prevalent Coronary artery disease (CAD), where CAD is defined as previous diagnosis of myocardial infarction or revascularization procedures (percutaneous coronary intervention or coronary artery bypass grafting). | — | [ ,
72.38 % Male samples |
— | European (French Canadian) |
— | MHI | Phase 2 |
| PSS000023 | CAD case endpoints were defined as: angina, myocardial infarction, coronary angioplasty, and coronary bypass surgery. Participants are described as Caucasian with diagnosed Familial hypercholesterolemia(FH; Dutch Lipid Criteria score >= 3 [possible, probable, or definite FH]) and carriers of classical French Canadian mutations in the LDLR gene including del .15 kb of the promoter and exon 1, del .5 kb of exons 2 and 3, W66G (exon 3), E207K (exon 4), Y468X (exon 10), and C646Y (exon 14). | — | [ ,
42.8 % Male samples |
— | European | CNMA | Nutrition, Metabolism and Atherosclerosis Clinic (CNMA) of Institut de recherches cliniques de Montréal | |
| PSS000024 | Cerebrovascular disease (CVD) case endpoints were defined as: transient ischemic attack, stroke, and carotid endarterectomy. Participants are described as Caucasian with diagnosed Familial hypercholesterolemia(FH; Dutch Lipid Criteria score >= 3 [possible, probable, or definite FH]) and carriers of classical French Canadian mutations in the LDLR gene including del .15 kb of the promoter and exon 1, del .5 kb of exons 2 and 3, W66G (exon 3), E207K (exon 4), Y468X (exon 10), and C646Y (exon 14). | — | [ ,
42.8 % Male samples |
— | European | — | CNMA | Nutrition, Metabolism and Atherosclerosis Clinic (CNMA) of Institut de recherches cliniques de Montréal |
| PSS012216 | — | — | [
|
— | European | — | UKB | — |
| PSS012220 | — | — | [
|
— | European | — | UKB | — |
| PSS012227 | — | — | [
|
— | European (British) |
— | UKB | — |
| PSS011465 | — | — | 9,462 individuals | — | European | — | AllofUs | — |
| PSS009310 | — | — | 20,000 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009311 | — | — | 19,308 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS011474 | — | — | 8,837 individuals | — | South Asian | — | G&H | — |
| PSS009317 | — | — | 19,545 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS011487 | — | — | 7,465 individuals | — | European | — | AllofUs | — |
| PSS012247 | Self-report disease: 1075; ICD9: 4109, 4119, 4129, 4299; ICD10: I21-I23, I24.1, I25.2 | — | [
|
— | East Asian | — | UKB | — |
| PSS012254 | — | Median = 12.66 years | [ ,
44.39 % Male samples |
Mean = 56.22 years Sd = 8.09 years |
European | — | UKB | — |
| PSS012270 | — | — | 425,676 individuals | — | European | — | UKB | — |
| PSS012270 | — | — | 8,639 individuals | — | South Asian | — | UKB | — |
| PSS012270 | — | — | 7,345 individuals | — | African American or Afro-Caribbean | — | UKB | — |
| PSS012270 | — | — | 1,462 individuals | — | East Asian (Chinese) |
— | UKB | — |
| PSS012270 | — | — | 9,980 individuals | — | Not reported | — | UKB | — |
| PSS012271 | — | — | 8,639 individuals | — | South Asian | — | UKB | — |
| PSS012271 | — | — | 7,345 individuals | — | African American or Afro-Caribbean | — | UKB | — |
| PSS012271 | — | — | 1,462 individuals | — | East Asian (Chinese) |
— | UKB | — |
| PSS012271 | — | — | 9,980 individuals | — | Not reported | — | UKB | — |
| PSS000089 | Total carotid plaque burden (mm2) | — | 4,392 individuals | Range = [55.0, 80.0] years | NR | — | BioImage | — |
| PSS000090 | Total coronary arterial clacification (CAC) was coded as a a dichotomous outcome variable (CAC>0 versus CAC=0), and quantified by the Agatston method | Mean = 15.0 years | 1,154 individuals | Range = [32.0, 47.0] years | NR | — | CARDIA | — |
| PSS000091 | Nonfatal myocardial infarction or death from CHD | Mean = 13.5 years Sd = 2.8 years |
2,440 individuals, 100.0 % Male samples |
Mean = 55.1 years Sd = 5.5 years |
NR | — | NR | Participants were all men hypercholesterolemia but without a history of myocardial infarction, allocated to the placebo group |
| PSS000092 | Incident Major coronary events (MCE) are defined as: fatal or nonfatal coronary artery disease (CAD) events, nonfatal myocardial infarction, or unstable angina | Median = 4.7 years | [ ,
64.8 % Male samples |
Mean = 62.8 years | European | Self reported white | ACCORD | Type 2 Diabetes patients |
| PSS000093 | Incident Major coronary events (MCE) are defined as: fatal or nonfatal coronary artery disease (CAD) events, nonfatal myocardial infarction, or unstable angina | Median = 6.2 years | [
|
— | European | Self reported white | ORIGIN | Participants are from the Outcome Reduction With Initial Glargine Intervention (ORIGIN) trial and were enrolled based on having some combination of impaired fasting glucose, impaired glucose tolerance or type 2 diabetes, and high cardiovascular risk |
| PSS000094 | Incident CHD was defined as myocardial infarction (MI), resuscitated cardiac arrest, definite or probable angina if followed by a revascularization and CHD death | — | [
|
Mean = 62.6 years | European | Analysis restricted to "White participants" | MESA | — |
| PSS000095 | Incident CHD was defined as myocardial infarction (MI), resuscitated cardiac arrest, definite or probable angina if followed by a revascularization and CHD death | — | [
|
Mean = 62.7 years | European | Analysis restricted to "White participants" | MESA | — |
| PSS011567 | — | — | [
|
— | European | — | EB | — |
| PSS011568 | — | — | [
|
— | European | — | FinnGen | — |
| PSS011569 | — | — | [
|
— | European | — | G&H | — |
| PSS011570 | — | — | [
|
— | European | — | GS:SFHS | — |
| PSS011571 | — | — | [
|
— | European | — | GEL | — |
| PSS011572 | — | — | [
|
— | European | — | HUNT | — |
| PSS011573 | — | — | [
|
— | European | — | MGBB | — |
| PSS003596 | All individuals had breast cancer. Cases were individuals who suffered incident coronary artery disease (CAD) events. Incident CAD events were defined as a composite endpoint of unstable angina, myocardial infarction, or death due to complications following myocardial infarction according to the International Statistical Classification of Diseases and Related Health Problems 10th Revision (ICD-10 codes): I21, I22, I23, I25 and I25. | — | [ ,
0.0 % Male samples |
— | European | — | SEARCH | — |
| PSS003597 | All individuals had breast cancer. Cases were individuals who suffered incident coronary artery disease (CAD) events. Incident CAD events were defined as a composite endpoint of unstable angina, myocardial infarction, or death due to complications following myocardial infarction according to the International Statistical Classification of Diseases and Related Health Problems 10th Revision (ICD-10 codes): I21, I22, I23, I25 and I25. | Median = 10.3 years | [ ,
0.0 % Male samples |
— | European, African unspecified, Asian unspecified, Not reported | European = 11,995, African unspecified = 1, Asian unspecified = 2, Not reported = 413 | SEARCH | — |
| PSS009513 | — | — | [
|
— | East Asian (Japanese) |
— | BBJ | — |
| PSS009517 | — | — | [
|
— | European (Estonian) |
— | EB | — |
| PSS003605 | — | — | [
|
Mean = 56.81 years | European | — | UKB | — |
| PSS009521 | — | — | [
|
— | European (Finnish) |
— | FinnGen | — |
| PSS009525 | — | — | [
|
— | European | Norwegian | HUNT | — |
| PSS009529 | — | — | [
|
— | African American or Afro-Caribbean | — | MGBB | — |
| PSS009533 | — | — | [
|
— | European | — | MGBB | — |
| PSS009537 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS009541 | — | — | [
|
— | European | British | UKB | — |
| PSS009545 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS011669 | Inclusion: MGH encounter AND ICD-9 code for diabetes AND Problem list term for diabetes OR HbA1C >6.5 in prior 3 years Exclusion: Problem list term not associated with diabetes; Inclusion problem list terms: DM, Diabetes Mellitus, Diabetic Nephropathy, Diabetic Neuropathy, Diabetic Retinopathy, Diabetic foot care, Diabetic foot infection, Diabetes Mellitus without complication, Insulin dependent diabetes mellitus, Insulin dependent diabetes without complications, Type 1, Diabetes mellitus I, DM type I, Juvenile, DM type i, Type I DM, Diabetes Mellitus type 1, Juvenile onset diabetes mellitus, Type 1 diabetes mellitus uncontrolled, Type 1 diabetes mellitus well controlled, DM1, Adult onset, AODM, Type 2, DM type ii, Diabetes mellitus ii, DMii, Type 2 DM, Type ii DM, Diabetes mellitus type 2, noninsulin dependent diabetes mellitus, Type 2 diabetes mellitus uncontrolled, Type 2 diabetes mellitus well controlled, Diabetes adult-adult onset, NIDDM.; Inclusion ICD-9 codes: 250.21, 250.23, 250.11, 250.13, 250.61, 250.63, 250.51, 250.53, 250.31, 250.33, 250.81, 250.83, 250.71, 250.73, 250.41, 250.43, 250.91, 250.93, 250.01, 250.03, 250.20, 250.22, 250.10, 250.12, 250.60, 250.62, 250.50, 250.52, 250.30, 250.32, 250.80, 250.82, 250.70, 250.72, 250.40, 250.42, 250.90, 250.92, 250.00, 250.02; Exclusion problem list terms: negative, neg, r/o, risk, rule out, no, consider diabetes, borderline, gestational, maternal, pregnancy, glucose impai, impaired glucose, insipidus, pre diabetes, prediab, family history, PCOS, Polycystic Ovary Syndrome | Median = 13.9 years | 9,909 individuals, 42.32 % Male samples |
Mean = 60.4 years | European | — | MGBB | — |
| PSS007665 | Of the 1,132 individuals, 1,070 had a coronary artery calcium (CAC) score ≤ 20, whilst the remaining 62 had a CAC score >20. To calculate CAC scores, participants underwent two computed tomography scans from the root of the aorta to the apex of the heart at year 15. From these, Agatston scores, adjusted using a standard calcium phantom scanned underneath each participant, were computed for the four major arteries. The CAC Agatston score is the average of two scans. | — | [ ,
48.1 % Male samples |
Mean = 25.6 years Sd = 3.3 years |
European | — | CARDIA | — |
| PSS007666 | Of the 663 individuals, 500 individuals had a coronary artery calcium (CAC) score ≤ 300, whilst the remaining 93 had a CAC score > 300. To calculate CAC scores, participants underwent two computed tomography scans from the root of the aorta to the apex of the heart at year 30. From these, Agatston scores, adjusted using a standard calcium phantom scanned underneath each participant, were computed for the four major arteries. The CAC Agatston score is the average of two scans. | — | [ ,
46.5 % Male samples |
Mean = 27.8 years Sd = 4.7 years |
European | — | FOS | — |
| PSS011669 | Inclusion: MGH encounter AND ICD-9 code for diabetes AND Problem list term for diabetes OR HbA1C >6.5 in prior 3 years Exclusion: Problem list term not associated with diabetes; Inclusion problem list terms: DM, Diabetes Mellitus, Diabetic Nephropathy, Diabetic Neuropathy, Diabetic Retinopathy, Diabetic foot care, Diabetic foot infection, Diabetes Mellitus without complication, Insulin dependent diabetes mellitus, Insulin dependent diabetes without complications, Type 1, Diabetes mellitus I, DM type I, Juvenile, DM type i, Type I DM, Diabetes Mellitus type 1, Juvenile onset diabetes mellitus, Type 1 diabetes mellitus uncontrolled, Type 1 diabetes mellitus well controlled, DM1, Adult onset, AODM, Type 2, DM type ii, Diabetes mellitus ii, DMii, Type 2 DM, Type ii DM, Diabetes mellitus type 2, noninsulin dependent diabetes mellitus, Type 2 diabetes mellitus uncontrolled, Type 2 diabetes mellitus well controlled, Diabetes adult-adult onset, NIDDM.; Inclusion ICD-9 codes: 250.21, 250.23, 250.11, 250.13, 250.61, 250.63, 250.51, 250.53, 250.31, 250.33, 250.81, 250.83, 250.71, 250.73, 250.41, 250.43, 250.91, 250.93, 250.01, 250.03, 250.20, 250.22, 250.10, 250.12, 250.60, 250.62, 250.50, 250.52, 250.30, 250.32, 250.80, 250.82, 250.70, 250.72, 250.40, 250.42, 250.90, 250.92, 250.00, 250.02; Exclusion problem list terms: negative, neg, r/o, risk, rule out, no, consider diabetes, borderline, gestational, maternal, pregnancy, glucose impai, impaired glucose, insipidus, pre diabetes, prediab, family history, PCOS, Polycystic Ovary Syndrome | Median = 13.9 years | 757 individuals, 42.32 % Male samples |
Mean = 60.4 years | Hispanic or Latin American | — | MGBB | — |
| PSS011669 | Inclusion: MGH encounter AND ICD-9 code for diabetes AND Problem list term for diabetes OR HbA1C >6.5 in prior 3 years Exclusion: Problem list term not associated with diabetes; Inclusion problem list terms: DM, Diabetes Mellitus, Diabetic Nephropathy, Diabetic Neuropathy, Diabetic Retinopathy, Diabetic foot care, Diabetic foot infection, Diabetes Mellitus without complication, Insulin dependent diabetes mellitus, Insulin dependent diabetes without complications, Type 1, Diabetes mellitus I, DM type I, Juvenile, DM type i, Type I DM, Diabetes Mellitus type 1, Juvenile onset diabetes mellitus, Type 1 diabetes mellitus uncontrolled, Type 1 diabetes mellitus well controlled, DM1, Adult onset, AODM, Type 2, DM type ii, Diabetes mellitus ii, DMii, Type 2 DM, Type ii DM, Diabetes mellitus type 2, noninsulin dependent diabetes mellitus, Type 2 diabetes mellitus uncontrolled, Type 2 diabetes mellitus well controlled, Diabetes adult-adult onset, NIDDM.; Inclusion ICD-9 codes: 250.21, 250.23, 250.11, 250.13, 250.61, 250.63, 250.51, 250.53, 250.31, 250.33, 250.81, 250.83, 250.71, 250.73, 250.41, 250.43, 250.91, 250.93, 250.01, 250.03, 250.20, 250.22, 250.10, 250.12, 250.60, 250.62, 250.50, 250.52, 250.30, 250.32, 250.80, 250.82, 250.70, 250.72, 250.40, 250.42, 250.90, 250.92, 250.00, 250.02; Exclusion problem list terms: negative, neg, r/o, risk, rule out, no, consider diabetes, borderline, gestational, maternal, pregnancy, glucose impai, impaired glucose, insipidus, pre diabetes, prediab, family history, PCOS, Polycystic Ovary Syndrome | Median = 13.9 years | 347 individuals, 42.32 % Male samples |
Mean = 60.4 years | African unspecified | — | MGBB | — |
| PSS011669 | Inclusion: MGH encounter AND ICD-9 code for diabetes AND Problem list term for diabetes OR HbA1C >6.5 in prior 3 years Exclusion: Problem list term not associated with diabetes; Inclusion problem list terms: DM, Diabetes Mellitus, Diabetic Nephropathy, Diabetic Neuropathy, Diabetic Retinopathy, Diabetic foot care, Diabetic foot infection, Diabetes Mellitus without complication, Insulin dependent diabetes mellitus, Insulin dependent diabetes without complications, Type 1, Diabetes mellitus I, DM type I, Juvenile, DM type i, Type I DM, Diabetes Mellitus type 1, Juvenile onset diabetes mellitus, Type 1 diabetes mellitus uncontrolled, Type 1 diabetes mellitus well controlled, DM1, Adult onset, AODM, Type 2, DM type ii, Diabetes mellitus ii, DMii, Type 2 DM, Type ii DM, Diabetes mellitus type 2, noninsulin dependent diabetes mellitus, Type 2 diabetes mellitus uncontrolled, Type 2 diabetes mellitus well controlled, Diabetes adult-adult onset, NIDDM.; Inclusion ICD-9 codes: 250.21, 250.23, 250.11, 250.13, 250.61, 250.63, 250.51, 250.53, 250.31, 250.33, 250.81, 250.83, 250.71, 250.73, 250.41, 250.43, 250.91, 250.93, 250.01, 250.03, 250.20, 250.22, 250.10, 250.12, 250.60, 250.62, 250.50, 250.52, 250.30, 250.32, 250.80, 250.82, 250.70, 250.72, 250.40, 250.42, 250.90, 250.92, 250.00, 250.02; Exclusion problem list terms: negative, neg, r/o, risk, rule out, no, consider diabetes, borderline, gestational, maternal, pregnancy, glucose impai, impaired glucose, insipidus, pre diabetes, prediab, family history, PCOS, Polycystic Ovary Syndrome | Median = 13.9 years | 183 individuals, 42.32 % Male samples |
Mean = 60.4 years | East Asian | — | MGBB | — |
| PSS011669 | Inclusion: MGH encounter AND ICD-9 code for diabetes AND Problem list term for diabetes OR HbA1C >6.5 in prior 3 years Exclusion: Problem list term not associated with diabetes; Inclusion problem list terms: DM, Diabetes Mellitus, Diabetic Nephropathy, Diabetic Neuropathy, Diabetic Retinopathy, Diabetic foot care, Diabetic foot infection, Diabetes Mellitus without complication, Insulin dependent diabetes mellitus, Insulin dependent diabetes without complications, Type 1, Diabetes mellitus I, DM type I, Juvenile, DM type i, Type I DM, Diabetes Mellitus type 1, Juvenile onset diabetes mellitus, Type 1 diabetes mellitus uncontrolled, Type 1 diabetes mellitus well controlled, DM1, Adult onset, AODM, Type 2, DM type ii, Diabetes mellitus ii, DMii, Type 2 DM, Type ii DM, Diabetes mellitus type 2, noninsulin dependent diabetes mellitus, Type 2 diabetes mellitus uncontrolled, Type 2 diabetes mellitus well controlled, Diabetes adult-adult onset, NIDDM.; Inclusion ICD-9 codes: 250.21, 250.23, 250.11, 250.13, 250.61, 250.63, 250.51, 250.53, 250.31, 250.33, 250.81, 250.83, 250.71, 250.73, 250.41, 250.43, 250.91, 250.93, 250.01, 250.03, 250.20, 250.22, 250.10, 250.12, 250.60, 250.62, 250.50, 250.52, 250.30, 250.32, 250.80, 250.82, 250.70, 250.72, 250.40, 250.42, 250.90, 250.92, 250.00, 250.02; Exclusion problem list terms: negative, neg, r/o, risk, rule out, no, consider diabetes, borderline, gestational, maternal, pregnancy, glucose impai, impaired glucose, insipidus, pre diabetes, prediab, family history, PCOS, Polycystic Ovary Syndrome | Median = 13.9 years | 154 individuals, 42.32 % Male samples |
Mean = 60.4 years | Not reported | — | MGBB | — |
| PSS011669 | Inclusion: MGH encounter AND ICD-9 code for diabetes AND Problem list term for diabetes OR HbA1C >6.5 in prior 3 years Exclusion: Problem list term not associated with diabetes; Inclusion problem list terms: DM, Diabetes Mellitus, Diabetic Nephropathy, Diabetic Neuropathy, Diabetic Retinopathy, Diabetic foot care, Diabetic foot infection, Diabetes Mellitus without complication, Insulin dependent diabetes mellitus, Insulin dependent diabetes without complications, Type 1, Diabetes mellitus I, DM type I, Juvenile, DM type i, Type I DM, Diabetes Mellitus type 1, Juvenile onset diabetes mellitus, Type 1 diabetes mellitus uncontrolled, Type 1 diabetes mellitus well controlled, DM1, Adult onset, AODM, Type 2, DM type ii, Diabetes mellitus ii, DMii, Type 2 DM, Type ii DM, Diabetes mellitus type 2, noninsulin dependent diabetes mellitus, Type 2 diabetes mellitus uncontrolled, Type 2 diabetes mellitus well controlled, Diabetes adult-adult onset, NIDDM.; Inclusion ICD-9 codes: 250.21, 250.23, 250.11, 250.13, 250.61, 250.63, 250.51, 250.53, 250.31, 250.33, 250.81, 250.83, 250.71, 250.73, 250.41, 250.43, 250.91, 250.93, 250.01, 250.03, 250.20, 250.22, 250.10, 250.12, 250.60, 250.62, 250.50, 250.52, 250.30, 250.32, 250.80, 250.82, 250.70, 250.72, 250.40, 250.42, 250.90, 250.92, 250.00, 250.02; Exclusion problem list terms: negative, neg, r/o, risk, rule out, no, consider diabetes, borderline, gestational, maternal, pregnancy, glucose impai, impaired glucose, insipidus, pre diabetes, prediab, family history, PCOS, Polycystic Ovary Syndrome | Median = 13.9 years | 82 individuals, 42.32 % Male samples |
Mean = 60.4 years | South Asian | — | MGBB | — |
| PSS011669 | Inclusion: MGH encounter AND ICD-9 code for diabetes AND Problem list term for diabetes OR HbA1C >6.5 in prior 3 years Exclusion: Problem list term not associated with diabetes; Inclusion problem list terms: DM, Diabetes Mellitus, Diabetic Nephropathy, Diabetic Neuropathy, Diabetic Retinopathy, Diabetic foot care, Diabetic foot infection, Diabetes Mellitus without complication, Insulin dependent diabetes mellitus, Insulin dependent diabetes without complications, Type 1, Diabetes mellitus I, DM type I, Juvenile, DM type i, Type I DM, Diabetes Mellitus type 1, Juvenile onset diabetes mellitus, Type 1 diabetes mellitus uncontrolled, Type 1 diabetes mellitus well controlled, DM1, Adult onset, AODM, Type 2, DM type ii, Diabetes mellitus ii, DMii, Type 2 DM, Type ii DM, Diabetes mellitus type 2, noninsulin dependent diabetes mellitus, Type 2 diabetes mellitus uncontrolled, Type 2 diabetes mellitus well controlled, Diabetes adult-adult onset, NIDDM.; Inclusion ICD-9 codes: 250.21, 250.23, 250.11, 250.13, 250.61, 250.63, 250.51, 250.53, 250.31, 250.33, 250.81, 250.83, 250.71, 250.73, 250.41, 250.43, 250.91, 250.93, 250.01, 250.03, 250.20, 250.22, 250.10, 250.12, 250.60, 250.62, 250.50, 250.52, 250.30, 250.32, 250.80, 250.82, 250.70, 250.72, 250.40, 250.42, 250.90, 250.92, 250.00, 250.02; Exclusion problem list terms: negative, neg, r/o, risk, rule out, no, consider diabetes, borderline, gestational, maternal, pregnancy, glucose impai, impaired glucose, insipidus, pre diabetes, prediab, family history, PCOS, Polycystic Ovary Syndrome | Median = 13.9 years | 83 individuals, 42.32 % Male samples |
Mean = 60.4 years | Greater Middle Eastern (Middle Eastern, North African or Persian) | — | MGBB | — |
| PSS007681 | Coronary heart disease was defined as Myocardial infarction | Coronary angioplasty | Coronary artery bypass grafting. ICD 8/9/10 codes are listed in Supplementary Data 1. National registeries were used to assess disease incidence. Follow-up ended at first-ever diagnosis of the disease of interest, death or at the end of follow-up on December 31, 2019, whichever came first. | Median = 15.3 years IQR = [7.8, 22.6] years |
[ ,
43.8 % Male samples |
Mean (Age At Baseline) = 53.2 years Sd = 17.4 years |
European (Finnish) |
— | FinnGen | — |
| PSS007682 | Coronary heart disease was defined as Myocardial infarction | Coronary angioplasty | Coronary artery bypass grafting. ICD 8/9/10 codes are listed in Supplementary Data 1. National registeries were used to assess disease incidence. Follow-up ended at first-ever diagnosis of the disease of interest, death or at the end of follow-up on December 31, 2019, whichever came first. | — | [ ,
42.2 % Male samples |
Mean (Age At Baseline) = 52.2 years Sd = 17.3 years |
European (Finnish) |
— | FinnGen | — |
| PSS007683 | Coronary heart disease was defined as Myocardial infarction | Coronary angioplasty | Coronary artery bypass grafting. ICD 8/9/10 codes are listed in Supplementary Data 1. National registeries were used to assess disease incidence. Follow-up ended at first-ever diagnosis of the disease of interest, death or at the end of follow-up on December 31, 2019, whichever came first. | — | [ ,
43.8 % Male samples |
Mean (Age At Baseline) = 53.2 years Sd = 17.4 years |
European (Finnish) |
— | FinnGen | — |
| PSS007687 | Coronary heart disease was defined as Myocardial infarction | Coronary angioplasty | Coronary artery bypass grafting. ICD 9/10 codes are listed in Supplementary Data 1. National registeries were used to assess disease incidence. Follow-up ended at first-ever diagnosis of the disease of interest, death or at the censoring date of hospital inpatient data (UK Biobank; English hospital inpatient records up to May 2020, Scottish up to November 2016, Welsh up to March 2016), whichever came first. | Median = 10.7 years IQR = [8.6, 11.6] years |
[ ,
46.3 % Male samples |
Mean (Age At Baseline) = 57.4 years Sd = 8.0 years |
European (British) |
UK Biobank participants with non-British ancestry were excluded based on genetically inferred ancestry. | UKB | — |
| PSS007688 | Coronary heart disease was defined as Myocardial infarction | Coronary angioplasty | Coronary artery bypass grafting. ICD 9/10 codes are listed in Supplementary Data 1. National registeries were used to assess disease incidence. Follow-up ended at first-ever diagnosis of the disease of interest, death or at the censoring date of hospital inpatient data (UK Biobank; English hospital inpatient records up to May 2020, Scottish up to November 2016, Welsh up to March 2016), whichever came first. | — | [ ,
45.1 % Male samples |
Mean (Age At Baseline) = 57.2 years Sd = 8.0 years |
European (British) |
UK Biobank participants with non-British ancestry were excluded based on genetically inferred ancestry. | UKB | — |
| PSS007689 | Coronary heart disease was defined as Myocardial infarction | Coronary angioplasty | Coronary artery bypass grafting. ICD 9/10 codes are listed in Supplementary Data 1. National registeries were used to assess disease incidence. Follow-up ended at first-ever diagnosis of the disease of interest, death or at the censoring date of hospital inpatient data (UK Biobank; English hospital inpatient records up to May 2020, Scottish up to November 2016, Welsh up to March 2016), whichever came first. | — | [ ,
46.3 % Male samples |
Mean (Age At Baseline) = 57.4 years Sd = 8.0 years |
European (British) |
UK Biobank participants with non-British ancestry were excluded based on genetically inferred ancestry. | UKB | — |
| PSS011679 | Cases were individuals who had experienced mycoardial injury after non-cardiac surgery (MINS). MINS was defined as a new troponin elevation (≥ 0.1 ng/mL, institutional laboratory's upper threshold for normal) occurring within the first 30 days after surgery. If a patient underwent a subsequent surgery within the 30-day postoperative window, the later procedure was presumed to have greater influence on the subsequent postoperative course, therefore, the post-operative window for the initial procedure was censored at the start of a subsequent procedure. Patients with a troponin elevation in the two years before surgery were excluded from analysis for that particular surgery. If a patient had a postoperative troponin elevation, all subsequent surgeries were excluded from evaluation. | — | [
|
— | European | — | MGI | — |
| PSS011679 | Cases were individuals who had experienced mycoardial injury after non-cardiac surgery (MINS). MINS was defined as a new troponin elevation (≥ 0.1 ng/mL, institutional laboratory's upper threshold for normal) occurring within the first 30 days after surgery. If a patient underwent a subsequent surgery within the 30-day postoperative window, the later procedure was presumed to have greater influence on the subsequent postoperative course, therefore, the post-operative window for the initial procedure was censored at the start of a subsequent procedure. Patients with a troponin elevation in the two years before surgery were excluded from analysis for that particular surgery. If a patient had a postoperative troponin elevation, all subsequent surgeries were excluded from evaluation. | — | [
|
— | African unspecified | — | MGI | — |
| PSS011679 | Cases were individuals who had experienced mycoardial injury after non-cardiac surgery (MINS). MINS was defined as a new troponin elevation (≥ 0.1 ng/mL, institutional laboratory's upper threshold for normal) occurring within the first 30 days after surgery. If a patient underwent a subsequent surgery within the 30-day postoperative window, the later procedure was presumed to have greater influence on the subsequent postoperative course, therefore, the post-operative window for the initial procedure was censored at the start of a subsequent procedure. Patients with a troponin elevation in the two years before surgery were excluded from analysis for that particular surgery. If a patient had a postoperative troponin elevation, all subsequent surgeries were excluded from evaluation. | — | [
|
— | Asian unspecified, Oceanian | — | MGI | — |
| PSS011679 | Cases were individuals who had experienced mycoardial injury after non-cardiac surgery (MINS). MINS was defined as a new troponin elevation (≥ 0.1 ng/mL, institutional laboratory's upper threshold for normal) occurring within the first 30 days after surgery. If a patient underwent a subsequent surgery within the 30-day postoperative window, the later procedure was presumed to have greater influence on the subsequent postoperative course, therefore, the post-operative window for the initial procedure was censored at the start of a subsequent procedure. Patients with a troponin elevation in the two years before surgery were excluded from analysis for that particular surgery. If a patient had a postoperative troponin elevation, all subsequent surgeries were excluded from evaluation. | — | [
|
— | Native American | — | MGI | — |
| PSS011679 | Cases were individuals who had experienced mycoardial injury after non-cardiac surgery (MINS). MINS was defined as a new troponin elevation (≥ 0.1 ng/mL, institutional laboratory's upper threshold for normal) occurring within the first 30 days after surgery. If a patient underwent a subsequent surgery within the 30-day postoperative window, the later procedure was presumed to have greater influence on the subsequent postoperative course, therefore, the post-operative window for the initial procedure was censored at the start of a subsequent procedure. Patients with a troponin elevation in the two years before surgery were excluded from analysis for that particular surgery. If a patient had a postoperative troponin elevation, all subsequent surgeries were excluded from evaluation. | — | [
|
— | Not reported | — | MGI | — |
| PSS011680 | At baseline, all individuals were free from coronary heart disease (CHD). Cases included individuals who were hospitalised due to CHD or suffered a fatal CHD event. CHD events were defined for non-fatal cases as the International Classification of Diseases ninth revision (ICD-9) codes 410 and 4110 (years 1992-1995) and ICD-10 codes I200, I21 or I22 (1996-2015) and Nordic Medico-Statistical Committee codes for coronary artery bypass graft or percutaneous coronary intervention in the hospital discharge register, and for fatal cases as ICD-9 codes 410-414 and 798 (not 7980A) and ICD-10 codes I20-25, I46, R96 and R98 in the causes of death register. | Mean = 13.8 years | [ ,
46.74 % Male samples |
Mean = 48.0 years | European (Finnish) |
— | FINRISK | — |
| PSS011681 | The primary outcome was a first-onset cardiovascular disease event, defined as the composite of CHD (i.e., myocardial infarction or fatal CHD) or any stroke. Secondary outcomes included each of CHD and stroke separately, and a combination of CHD, stroke, and cardiac revascularisation procedures (i.e., percutaneous transluminal cor- onary angioplasty [PTCA] and coronary artery bypass grafting [CABG]). 3333 Cases are CHD events and 2347 are stroke events | Median = 8.1 years | [ ,
43.01 % Male samples |
Mean = 56.0 years Sd = 8.0 years |
European | — | UKB | — |
| PSS011682 | All individuals had multifocal FMD. Cases show those with spontaneous coronary artery dissection. | — | [
|
— | Not reported | — | CCGB | Cases from Cleveland Clinic FMD Biorepository |
| PSS011683 | An individual was classified as a case if he or she had ≥1 admission to a VA hospital with discharge diagnosis of acute myocardial infarction (AMI) or ≥1 procedure code for revascularization of the coronary arteries or ≥2 ICD codes for CAD (410-414) on ≥2 dates. | — | [
|
— | European | — | MVP | — |
| PSS011684 | Cases are individuals with evidence of hospitilisation for myocardial infarction. | — | [
|
— | European | — | MVP | — |
| PSS011685 | MI events were defined pre- enrollment by self-reported medical history and post-enrollment by hospital epi- sode statistics using ICD, Version 10 diagnosis codes (I21, I22, I23, or I24). Events were censored on the date of loss to follow-up, death, or if individuals remained event free up to March 31, 2017. | — | [ ,
45.86 % Male samples |
— | European | — | UKB | — |
| PSS011689 | — | Mean = 14.2 years | [ ,
42.3 % Male samples |
Mean = 63.0 years Sd = 5.7 years |
European | — | ARIC | — |
| PSS011690 | — | Mean = 18.5 years | [ ,
44.2 % Male samples |
Mean = 56.7 years Sd = 9.2 years |
European | — | FOS | — |
| PSS009589 | — | Mean = 13.0 years | [ ,
42.5 % Male samples |
Mean = 52.3 years Sd = 10.6 years |
East Asian | — | CIMIC, ChinaMUCA-1998, InterASIA | — |
| PSS009590 | individuals with type 2 diabetes. Events consist of 794 CV deaths (15.4%), 274 non-fatal MI (5.3%) and 151 non-fatal stroke (2.9%) | Median = 9.8 years | [ ,
56.1 % Male samples |
Mean = 65.2 years | European, NR | — | GoDARTS | — |
| PSS007707 | — | — | [
|
— | European | — | UKB | — |
| PSS011720 | Cases are individuals that were hospitilized at least once for any cause. | Mean = 17.8 years Sd = 4.4 years |
[ ,
38.0 % Male samples |
Mean = 58.0 years Sd = 7.7 years |
Not reported | — | MDC | — |
| PSS011721 | Cases are individuals that were hospitilized at least once for a CVD event. The causes of hospitilization were classified according to ICD code as the main diagnosis at discharge. The most common causes of CVD hospitalizations were ischeamic heart disease (33%), stroke (23%), arterial fibrillation (15%) and congestive heart failure (3%) as estimated from the causes of the first hospitalization event | Mean = 17.8 years Sd = 4.4 years |
23,594 individuals, 38.0 % Male samples |
Mean = 58.0 years Sd = 7.7 years |
Not reported | — | MDC | — |
| PSS011722 | — | — | 23,594 individuals, 38.0 % Male samples |
Mean = 58.0 years Sd = 7.7 years |
Not reported | — | MDC | — |
| PSS011727 | A participant was defined as a CAD case if he/she had at least one occurrence of International Classification of Diseases, 10th edition (ICD-10) codes I21-I25 (covering ischemic heart diseases) or at least one occurrence of the following codes in Office of Population Censuses and Surveys Classification of Interventions and Procedures, version 4 (OPCS-4): K40- K46, K49, K50 or K75, which include replacement, transluminal balloon angioplasty, and other therapeutic transluminal operations on coronary artery, and percutaneous transluminal balloon angioplasty and insertion of stents. Death because of CAD was defined as an occurrence of any of the ICD-10 codes stated above as the primary cause of death. Primary incident CAD events were either captured on the earliest date of CAD event/CAD death after enrollment, or censored at the end of HES-based follow-up or at time of competing death, whichever occurred first. Those who have had CAD diagnosis before enrollment were excluded from the incident CAD analysis. 10358 CAD cases were prevalent and 9847 were incident. | Median = [0.0, 8.4] years | [ ,
46.1 % Male samples |
Mean = 57.4 years Sd = 8.0 years |
European | — | UKB | — |
| PSS011728 | A participant was defined as a CAD case if he/she had at least one occurrence of International Classification of Diseases, 10th edition (ICD-10) codes I21-I25 (covering ischemic heart diseases) or at least one occurrence of the following codes in Office of Population Censuses and Surveys Classification of Interventions and Procedures, version 4 (OPCS-4): K40- K46, K49, K50 or K75, which include replacement, transluminal balloon angioplasty, and other therapeutic transluminal operations on coronary artery, and percutaneous transluminal balloon angioplasty and insertion of stents. Death because of CAD was defined as an occurrence of any of the ICD-10 codes stated above as the primary cause of death. Primary incident CAD events were either captured on the earliest date of CAD event/CAD death after enrollment, or censored at the end of HES-based follow-up or at time of competing death, whichever occurred first. Those who have had CAD diagnosis before enrollment were excluded from the incident CAD analysis. 7976 CAD cases were prevalent and 6774 were incident. | Median = [0.0, 8.4] years | [ ,
100.0 % Male samples |
Mean = 57.6 years Sd = 8.1 years |
European | — | UKB | — |
| PSS011729 | A participant was defined as a CAD case if he/she had at least one occurrence of International Classification of Diseases, 10th edition (ICD-10) codes I21-I25 (covering ischemic heart diseases) or at least one occurrence of the following codes in Office of Population Censuses and Surveys Classification of Interventions and Procedures, version 4 (OPCS-4): K40- K46, K49, K50 or K75, which include replacement, transluminal balloon angioplasty, and other therapeutic transluminal operations on coronary artery, and percutaneous transluminal balloon angioplasty and insertion of stents. Death because of CAD was defined as an occurrence of any of the ICD-10 codes stated above as the primary cause of death. Primary incident CAD events were either captured on the earliest date of CAD event/CAD death after enrollment, or censored at the end of HES-based follow-up or at time of competing death, whichever occurred first. Those who have had CAD diagnosis before enrollment were excluded from the incident CAD analysis. 2382 CAD cases were prevalent and 3073 were incident. | Median = [0.0, 8.4] years | [ ,
0.0 % Male samples |
Mean = 57.2 years Sd = 7.9 years |
European | — | UKB | — |
| PSS011730 | A participant was defined as a CAD case if he/she had at least one occurrence of International Classification of Diseases, 10th edition (ICD-10) codes I21-I25 (covering ischemic heart diseases) or at least one occurrence of the following codes in Office of Population Censuses and Surveys Classification of Interventions and Procedures, version 4 (OPCS-4): K40- K46, K49, K50 or K75, which include replacement, transluminal balloon angioplasty, and other therapeutic transluminal operations on coronary artery, and percutaneous transluminal balloon angioplasty and insertion of stents. Death because of CAD was defined as an occurrence of any of the ICD-10 codes stated above as the primary cause of death. Primary incident CAD events were either captured on the earliest date of CAD event/CAD death after enrollment, or censored at the end of HES-based follow-up or at time of competing death, whichever occurred first. Those who have had CAD diagnosis before enrollment were excluded from the incident CAD analysis. 10358 CAD cases were prevalent and 9847 were incident. | Median = [0.0, 8.4] years | [ ,
46.1 % Male samples |
Mean = 57.4 years Sd = 8.0 years |
European | — | UKB | — |
| PSS011731 | A participant was defined as a CAD case if he/she had at least one occurrence of International Classification of Diseases, 10th edition (ICD-10) codes I21-I25 (covering ischemic heart diseases) or at least one occurrence of the following codes in Office of Population Censuses and Surveys Classification of Interventions and Procedures, version 4 (OPCS-4): K40- K46, K49, K50 or K75, which include replacement, transluminal balloon angioplasty, and other therapeutic transluminal operations on coronary artery, and percutaneous transluminal balloon angioplasty and insertion of stents. Death because of CAD was defined as an occurrence of any of the ICD-10 codes stated above as the primary cause of death. Primary incident CAD events were either captured on the earliest date of CAD event/CAD death after enrollment, or censored at the end of HES-based follow-up or at time of competing death, whichever occurred first. Those who have had CAD diagnosis before enrollment were excluded from the incident CAD analysis. 7976 CAD cases were prevalent and 6774 were incident. | Median = [0.0, 8.4] years | [ ,
100.0 % Male samples |
Mean = 57.6 years Sd = 8.1 years |
European | — | UKB | — |
| PSS011732 | A participant was defined as a CAD case if he/she had at least one occurrence of International Classification of Diseases, 10th edition (ICD-10) codes I21-I25 (covering ischemic heart diseases) or at least one occurrence of the following codes in Office of Population Censuses and Surveys Classification of Interventions and Procedures, version 4 (OPCS-4): K40- K46, K49, K50 or K75, which include replacement, transluminal balloon angioplasty, and other therapeutic transluminal operations on coronary artery, and percutaneous transluminal balloon angioplasty and insertion of stents. Death because of CAD was defined as an occurrence of any of the ICD-10 codes stated above as the primary cause of death. Primary incident CAD events were either captured on the earliest date of CAD event/CAD death after enrollment, or censored at the end of HES-based follow-up or at time of competing death, whichever occurred first. Those who have had CAD diagnosis before enrollment were excluded from the incident CAD analysis. 2382 CAD cases were prevalent and 3073 were incident. | Median = [0.0, 8.4] years | [ ,
0.0 % Male samples |
Mean = 57.2 years Sd = 7.9 years |
European | — | UKB | — |
| PSS007757 | — | — | 2,484 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS007758 | — | — | 2,396 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS000822 | — | — | 87,413 individuals | — | European | — | UKB | — |
| PSS007764 | — | — | 2,435 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS003795 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS003796 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS003797 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS003798 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS003799 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS009630 | Entry to the trial had required a history of acute coronary syndrome 3–36 months previously, and patients were in the trial for a mean of 36 months. 1558 deaths, 898 cardiovascular deaths, 727 CHD deaths and 375 cancer deaths | Mean = 36.0 months | [ ,
84.0 % Male samples |
Mean = 60.2 years Sd = 8.41 years |
European | — | NR | LIPID (Long-term Intervention with Pravastatin in Ischaemic Disease) randomised controlled trial |
| PSS000837 | Incident CHD cases were defined as having incident myocardial infarction (MI), fatal coronary event, or silent infarction or having undergone a revasclarization procedure. | Median = 15.5 years | [ ,
43.6 % Male samples |
Mean = 62.9 years | European | — | ARIC | — |
| PSS000838 | Incident CHD cases were defined as MI, resuscitated cardiac arrest, definite or probable angina if followed by a revascularization, and CHD dead occuring by visit 5. | Median = 14.2 years | [ ,
47.8 % Male samples |
Mean = 61.8 years | European | — | MESA | — |
| PSS000839 | Incident CHD cases were defined as having incident myocardial infarction (MI), fatal coronary event, or silent infarction or having undergone a revasclarization procedure. Prevalent CHD cases were participants with a reported history of MI, heart or arterial surgery, coronary artery bypass graft surgery, or angioplasty; or evidence of having had an MI based on electrocardiogram taken at their visit 1 examination. | — | [ ,
43.6 % Male samples |
Mean = 62.9 years | European | — | ARIC | — |
| PSS000219 | Phenotypic information was self-reported by the individual through an online, interactive health history tool | — | [ ,
17.1 % Male samples |
— | European | — | CG | Samples are individuals whose healthcare provider had ordered a Color Genomics multi-gene panel test |
| PSS011752 | — | Median = 11.6 years | 39,164 individuals, 42.4 % Male samples |
Mean = 53.9 years Sd = 10.5 years |
East Asian (Chinese) |
— | CIMIC, ChinaMUCA-1998, InterASIA | — |
| PSS011755 | — | — | 77,500 individuals, 43.2 % Male samples |
Mean = 56.3 years Sd = 7.7 years |
European (British) |
— | UKB | — |
| PSS000227 | — | — | [
|
— | Asian unspecified | — | MESA, VIRGO | Cases are from VIRGO, controls are from MESA |
| PSS000228 | — | — | [
|
— | African American or Afro-Caribbean | — | MESA, VIRGO | Cases are from VIRGO, controls are from MESA |
| PSS000229 | — | — | [
|
— | Hispanic or Latin American | — | MESA, VIRGO | Cases are from VIRGO, controls are from MESA |
| PSS000230 | — | — | [
|
— | European | — | MESA, VIRGO | Cases are from VIRGO, controls are from MESA |
| PSS011758 | — | Median = 11.7 years | 34,111 individuals, 41.8 % Male samples |
Mean = 52.3 years Sd = 10.5 years |
East Asian (Chinese) |
— | CIMIC, ChinaMUCA-1998, InterASIA | — |
| PSS011762 | — | — | 8,417 individuals | — | European | — | BBofA | — |
| PSS009654 | — | — | [ ,
61.0 % Male samples |
— | European | — | NR | — |
| PSS000868 | CALIBER rule-based phenotyping algorithms (https://www.caliberresearch.org/portal). ICD-10: I21-I23, I24.1, I25.2 | Median = 6.9 years | [ ,
51.0 % Male samples |
Median = 44.0 years IQR = [30.5, 54.7] years |
European | — | INTERVAL | — |
| PSS011772 | Including death resulting from ischemic heart disease [ICD10: I20-I25], nonfatal myocardial infarction [ICD10: I21-I23], and coronary revascularization | Median = 12.2 years | 72,149 individuals, 40.2 % Male samples |
Mean = 51.7 years Sd = 10.5 years |
East Asian (Chinese) |
— | CKB | — |
| PSS000898 | Coronary artery disease was defined as myocardial infarction and/or history of coronary revascularization. | — | [
|
— | African unspecified | — | BioMe, MESA, PHB, UKB, VIRGO | — |
| PSS000899 | Coronary artery disease was defined as myocardial infarction and/or history of coronary revascularization. | — | [
|
— | East Asian | — | TaiChi, UKB | — |
| PSS000900 | Coronary artery disease was defined as myocardial infarction and/or history of coronary revascularization. | — | [
|
— | European | — | BioMe, MESA, PHB, UKB, VIRGO | — |
| PSS000901 | Coronary artery disease was defined as myocardial infarction and/or history of coronary revascularization. | — | [
|
— | Hispanic or Latin American | — | BioMe, MESA, PHB, VIRGO | — |
| PSS000902 | Coronary artery disease was defined as myocardial infarction and/or history of coronary revascularization. | — | [
|
— | South Asian | — | BRAVE, UKB | — |
| PSS011775 | — | — | 190,489 individuals | — | European | — | UKB | — |
| PSS011775 | — | — | 4,412 individuals | — | South Asian | — | UKB | — |
| PSS011775 | — | — | 3,795 individuals | — | African unspecified | — | UKB | — |
| PSS011775 | — | — | 1,230 individuals | — | East Asian | — | UKB | — |
| PSS011775 | — | — | 71 individuals | — | Not reported | — | UKB | — |
| PSS013129 | 434.01, 434.11, 434.91,I63.0, I63.3, I63.4, I63.5, I63.6, I63.8, I63.9 | — | [ ,
45.27 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013130 | 434.01, 434.11, 434.91,I63.0, I63.3, I63.4, I63.5, I63.6, I63.8, I63.9 | — | [ ,
45.27 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013131 | 434.01, 434.11, 434.91,I63.0, I63.3, I63.4, I63.5, I63.6, I63.8, I63.9 | — | [ ,
45.27 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013132 | 434, 437.6,I63, I66, I67.6 | — | [ ,
45.55 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013133 | 434, 437.6,I63, I66, I67.6 | — | [ ,
45.55 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013134 | 434, 437.6,I63, I66, I67.6 | — | [ ,
45.55 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013135 | 434, 437.6,I63, I66, I67.6 | — | [ ,
45.55 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS010956 | — | — | [
|
— | European | — | HUNT | — |
| PSS013136 | 434, 437.6,I63, I66, I67.6 | — | [ ,
45.55 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS010960 | ICD 10: I21,I210,I211,I212,I213,I214,I219,I22,I220,I221,I228,I229,I23,I230,I231,I232,I233,I234,I235,I236,I238,I24,I240,I241,I248,I249,I252; ICD9: 410, 411, 412, 4119,4129,4109; OPCS: K40,K401,K402,K403,K404,K408,K409,K41,K411,K412,K413,K414,K418,K419,K42,K421,K422,K423,K424,K428,K429,K43,K431,K432,K433,K434,K438,K439,K44,K441,K442,K448,K449,K451,K452,K453,K454,K455,K456,K458,K459,K46,K461,K462,K463,K464,K465,K468,K469,K471,K491,K492,K493,K494,K498,K499,K501,K502,K504,K751,K752,K753,K754,K758,K759 | Mean = 12.0 years Range = [11.2, 12.7] years |
[ ,
45.6 % Male samples |
Mean = 57.3 years | European | — | UKB | Excluding first released tranche of genotypes from UKBB |
| PSS010961 | ICD 10: I21,I210,I211,I212,I213,I214,I219,I22,I220,I221,I228,I229,I23,I230,I231,I232,I233,I234,I235,I236,I238,I24,I240,I241,I248,I249,I252; ICD9: 410, 411, 412, 4119,4129,4109; OPCS: K40,K401,K402,K403,K404,K408,K409,K41,K411,K412,K413,K414,K418,K419,K42,K421,K422,K423,K424,K428,K429,K43,K431,K432,K433,K434,K438,K439,K44,K441,K442,K448,K449,K451,K452,K453,K454,K455,K456,K458,K459,K46,K461,K462,K463,K464,K465,K468,K469,K471,K491,K492,K493,K494,K498,K499,K501,K502,K504,K751,K752,K753,K754,K758,K759 | Mean = 12.0 years Range = [11.2, 12.7] years |
[ ,
43.5 % Male samples |
Mean = 52.4 years | African unspecified | — | UKB | — |
| PSS010962 | ICD 10: I21,I210,I211,I212,I213,I214,I219,I22,I220,I221,I228,I229,I23,I230,I231,I232,I233,I234,I235,I236,I238,I24,I240,I241,I248,I249,I252; ICD9: 410, 411, 412, 4119,4129,4109; OPCS: K40,K401,K402,K403,K404,K408,K409,K41,K411,K412,K413,K414,K418,K419,K42,K421,K422,K423,K424,K428,K429,K43,K431,K432,K433,K434,K438,K439,K44,K441,K442,K448,K449,K451,K452,K453,K454,K455,K456,K458,K459,K46,K461,K462,K463,K464,K465,K468,K469,K471,K491,K492,K493,K494,K498,K499,K501,K502,K504,K751,K752,K753,K754,K758,K759 | Mean = 12.0 years Range = [11.2, 12.7] years |
[ ,
37.2 % Male samples |
Mean = 53.0 years | East Asian | — | UKB | — |
| PSS010963 | ICD 10: I21,I210,I211,I212,I213,I214,I219,I22,I220,I221,I228,I229,I23,I230,I231,I232,I233,I234,I235,I236,I238,I24,I240,I241,I248,I249,I252; ICD9: 410, 411, 412, 4119,4129,4109; OPCS: K40,K401,K402,K403,K404,K408,K409,K41,K411,K412,K413,K414,K418,K419,K42,K421,K422,K423,K424,K428,K429,K43,K431,K432,K433,K434,K438,K439,K44,K441,K442,K448,K449,K451,K452,K453,K454,K455,K456,K458,K459,K46,K461,K462,K463,K464,K465,K468,K469,K471,K491,K492,K493,K494,K498,K499,K501,K502,K504,K751,K752,K753,K754,K758,K759 | Mean = 12.0 years Range = [11.2, 12.7] years |
[ ,
54.1 % Male samples |
Mean = 53.8 years | South Asian | — | UKB | — |
| PSS010964 | ICD 10: I21-I25; Z95.1, Z98.61; ICD9: 0.66, 36.X, 99.1, 410, 411.X, 412, 414.X, V45.81, V45.82 | — | [
|
— | African American or Afro-Caribbean | — | MVP | Excluding individuals in published GWAS (GCST90132302) |
| PSS010965 | ICD 10: I21-I25; Z95.1, Z98.61; ICD9: 0.66, 36.X, 99.1, 410, 411.X, 412, 414.X, V45.81, V45.82 | — | [
|
— | European | — | MVP | Excluding individuals in published GWAS (GCST90132302) |
| PSS010966 | ICD 10: I21-I25; Z95.1, Z98.61; ICD9: 0.66, 36.X, 99.1, 410, 411.X, 412, 414.X, V45.81, V45.82 | — | [
|
— | Hispanic or Latin American | — | MVP | Excluding individuals in published GWAS (GCST90132302) |
| PSS010967 | ICD10: I21.X, I22.X, I23.X, I24.1, or I25.2; K40.1-40.4, K41.1-41.4, K45.1-45.5, K49.1-49.2, K49.8-49.9, K50.2, K75.1-75.4, or K75.8-75.9 ICD9: 410.X, 411.0, 412.X, or 429.79 | — | [
|
— | South Asian (Bangladeshi, Pakistani) |
— | G&H | Excluding individuals in published GWAS (GCST90140952) |
| PSS007974 | — | — | 1,810 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS007975 | — | — | 1,794 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS007981 | — | — | 1,791 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS010981 | — | — | [ ,
46.0 % Male samples |
Mean = 52.83 years | European | — | CoLaus | — |
| PSS004014 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004015 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004016 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS000929 | For GERMIFSI and GERMIFSII, CAD was defined as Myocardinal infarction before the age of 60 and 1 or more 1st- degree relative with CAD. In GERMIFSIII CAD was defined as myocardial infarction between the ages of 26 and 74. In GERMIFSIV, cases were based on a CAD diagnosis before age 65 in men or age 70 in women. In Luric, cases were ascertained as >50% angiographic confirmation of vascular obstruction in 1 or more coronary vessel | — | [
|
— | European | — | GerMIFS, LURIC | — |
| PSS000930 | CAD ascertainment was based on myocardial infarction diagnosis or death cause using ICD-10 codes I21.X, I22.X, I23.X, I24.1, or I25.2 | — | [
|
— | European | — | EB | — |
| PSS000931 | CAD ascertainment was based on a composite of myocardial infarction or coronary revascularization. Myocardial infarction was based on ICD-9 codes 410.X, 411.X, 412.X, or 429.79, or ICD-10 codes I21.X, I22.X, I23.X, I24.1, or I25.2. Coronary revascularization was assessed based on OPCS-4 coded procedure for coronary artery bypass grafting (K40.1-40-4, K41.1-41.4, or K45.1-45.5), or coronary angioplasty with or without stenting (K49.1-49.2, K49.0-49.9, K50.2, K75.1-75.4, or K75.8-75.9) | — | [
|
— | European | — | UKB | — |
| PSS004017 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004018 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS011830 | 410, 411, 412, 413, 41, V45.81 (ICD-9), I21, I22, I24, Z95.1, Z98.61, I20.0 (ICD-10) | — | [
|
— | European | — | AllofUs | — |
| PSS011830 | 410, 411, 412, 413, 41, V45.81 (ICD-9), I21, I22, I24, Z95.1, Z98.61, I20.0 (ICD-10) | — | [
|
— | African unspecified | — | AllofUs | — |
| PSS011830 | 410, 411, 412, 413, 41, V45.81 (ICD-9), I21, I22, I24, Z95.1, Z98.61, I20.0 (ICD-10) | — | [
|
— | Hispanic or Latin American | — | AllofUs | — |
| PSS011830 | 410, 411, 412, 413, 41, V45.81 (ICD-9), I21, I22, I24, Z95.1, Z98.61, I20.0 (ICD-10) | — | [
|
— | South Asian | — | AllofUs | — |
| PSS011830 | 410, 411, 412, 413, 41, V45.81 (ICD-9), I21, I22, I24, Z95.1, Z98.61, I20.0 (ICD-10) | — | [
|
— | East Asian | — | AllofUs | — |
| PSS011830 | 410, 411, 412, 413, 41, V45.81 (ICD-9), I21, I22, I24, Z95.1, Z98.61, I20.0 (ICD-10) | — | [
|
— | Greater Middle Eastern (Middle Eastern, North African or Persian) | — | AllofUs | — |
| PSS011831 | 410, 411, 412, 413, 41, V45.81 (ICD-9), I21, I22, I24, Z95.1, Z98.61, I20.0 (ICD-10) | — | [
|
— | European | — | PMB | — |
| PSS011831 | 410, 411, 412, 413, 41, V45.81 (ICD-9), I21, I22, I24, Z95.1, Z98.61, I20.0 (ICD-10) | — | [
|
— | African unspecified | — | PMB | — |
| PSS011831 | 410, 411, 412, 413, 41, V45.81 (ICD-9), I21, I22, I24, Z95.1, Z98.61, I20.0 (ICD-10) | — | [
|
— | Hispanic or Latin American | — | PMB | — |
| PSS011831 | 410, 411, 412, 413, 41, V45.81 (ICD-9), I21, I22, I24, Z95.1, Z98.61, I20.0 (ICD-10) | — | [
|
— | South Asian | — | PMB | — |
| PSS000956 | Abdominal aortic aneurysm cases were defined as the presence of 2 instances of any of the following International Classification of Diseases (ICD)–9 or ICD-10 codes in a participant’s EHR: 441.3, 441.4, I71.3, or I71.4. Controls were defined as possessing no occurrences of the aforementioned ICD codes, as well as no occurrences of the ICD-9 codes 440 through 448 or ICD-10 codes I71 through I75, I77 through I79, or K55. | — | [ ,
86.0 % Male samples |
Mean = 56.3 years Sd = 11.8 years |
African unspecified | — | MVP | — |
| PSS000957 | Abdominal aortic aneurysm cases were defined as the presence of 2 instances of any of the following International Classification of Diseases (ICD)–9 or ICD-10 codes in a participant’s EHR: 441.3, 441.4, I71.3, or I71.4. | — | [ ,
48.1 % Male samples |
Mean = 58.3 years Sd = 19.5 years |
European | — | BioMe | — |
| PSS000958 | Abdominal aortic aneurysm cases were defined as the presence of 2 instances of any of the following International Classification of Diseases (ICD)–9 or ICD-10 codes in a participant’s EHR: 441.3, 441.4, I71.3, or I71.4. Controls were defined as possessing no occurrences of the aforementioned ICD codes, as well as no occurrences of the ICD-9 codes 440 through 448 or ICD-10 codes I71 through I75, I77 through I79, or K55. | — | [ ,
92.1 % Male samples |
Mean = 63.8 years Sd = 13.7 years |
European | — | MVP | Sample is independent to the MVP sample used to identify SNPs and determine their weights |
| PSS000959 | Abdominal aortic aneurysm cases were defined as the presence of 2 instances of any of the following International Classification of Diseases (ICD)–9 or ICD-10 codes in a participant’s EHR: 441.3, 441.4, I71.3, or I71.4. | — | [ ,
65.4 % Male samples |
Mean = 71.0 years Sd = 13.7 years |
European | — | PMB | — |
| PSS011832 | Chronic condition warehouse definitions for myocardial infarction and ischemic heart disease | — | [
|
— | European | — | UCLA | — |
| PSS011832 | Chronic condition warehouse definitions for myocardial infarction and ischemic heart disease | — | [
|
— | African unspecified | — | UCLA | — |
| PSS011832 | Chronic condition warehouse definitions for myocardial infarction and ischemic heart disease | — | [
|
— | Hispanic or Latin American | — | UCLA | — |
| PSS011832 | Chronic condition warehouse definitions for myocardial infarction and ischemic heart disease | — | [
|
— | East Asian | — | UCLA | — |
| PSS011832 | Chronic condition warehouse definitions for myocardial infarction and ischemic heart disease | — | [
|
— | South Asian | — | UCLA | — |
| PSS011832 | Chronic condition warehouse definitions for myocardial infarction and ischemic heart disease | — | [
|
— | Not reported | — | UCLA | — |
| PSS011831 | 410, 411, 412, 413, 41, V45.81 (ICD-9), I21, I22, I24, Z95.1, Z98.61, I20.0 (ICD-10) | — | [
|
— | Greater Middle Eastern (Middle Eastern, North African or Persian) | — | PMB | — |
| PSS011833 | — | Median = 10.5 years | [ ,
34.0 % Male samples |
Mean = 62.6 years Sd = 10.6 years |
European, Asian unspecified, African unspecified, NR (White, Asian, Black, NR) |
— | 10 cohorts
|
— |
| PSS009783 | — | — | 6,438 individuals | — | African unspecified | — | UKB | — |
| PSS009784 | — | — | 913 individuals | — | East Asian | — | UKB | — |
| PSS009785 | — | — | 43,392 individuals | — | European | Non-British European | UKB | — |
| PSS009786 | — | — | 7,948 individuals | — | South Asian | — | UKB | — |
| PSS000283 | Composite endpoint of either: myocardial infarction, coronary revascularization, death from coronary causes. | Mean = 18.8 years | [ ,
45.0 % Male samples |
Mean = 54.0 years Sd = 5.7 years |
European | — | ARIC | — |
| PSS000284 | Cross-sectional analysis of baseline scores for coronary artery calcification (Agatston score) | — | 4,260 individuals, 44.0 % Male samples |
Mean = 69.1 years Sd = 6.0 years |
European | — | BioImage | — |
| PSS000285 | Composite endpoint of either: myocardial infarction, coronary revascularization, death from coronary causes. | Mean = 19.4 years | [ ,
38.0 % Male samples |
Mean = 58.0 years Sd = 7.7 years |
European | — | MDC-CC | — |
| PSS000286 | Composite endpoint of either: myocardial infarction, coronary revascularization, death from coronary causes. | Mean = 20.5 years | [ ,
0.0 % Male samples |
Mean = 54.2 years Sd = 7.1 years |
European | — | WGHS | — |
| PSS000287 | (i) Secondary cardiovascular events (sCVE; incl myocardial infarction, stroke, ruptured abdominal aortic aneurysm, fatal cardiac failure, percuteneous of bypass surgery, leg amputation due to cardiovascular causes, cardiovascular death), (ii) atherosclerotic carotid plaque characteristics | Mean = 3.0 years | 1,319 individuals, 69.3 % Male samples |
Mean = 68.8 years Sd = 9.3 years |
European (Dutch) |
— | AEGS1 | — |
| PSS011902 | — | — | 1,315 individuals, 47.1 % Male samples |
Mean = 42.1 years Sd = 14.6 years |
European (Dutch) |
— | Dutch HeFH | — |
| PSS011903 | — | — | 383 individuals | — | European | — | UKB | Independent to UKB cohort used to train the PGS |
| PSS011903 | — | — | 27 individuals | — | Asian unspecified | — | UKB | Independent to UKB cohort used to train the PGS |
| PSS011903 | — | — | 9 individuals | — | African American or Afro-Caribbean | — | UKB | Independent to UKB cohort used to train the PGS |
| PSS011903 | — | — | 10 individuals | — | Not reported | — | UKB | Independent to UKB cohort used to train the PGS |
| PSS008192 | — | — | 6,331 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008193 | — | — | 6,070 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008199 | — | — | 6,205 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS011911 | ICD10: E11 for T2D, N18 for CKD, first occurence of I20-125 for CAD. BMI: baseline body mass index | Median = 14.8 years | 48,603 individuals, 46.0 % Male samples |
Mean = 56.8 years Sd = 8.2 years |
European, East Asian, South Asian, Hispanic or Latin American, African unspecified | — | UKB | — |
| PSS011912 | ICD10: E11 for T2D, N18 for CKD, first occurence of I20-125 for CAD, K76.0 for NAFLD. BMI: baseline body mass index | Median = 14.8 years | 45,356 individuals, 46.0 % Male samples |
Mean = 57.1 years Sd = 8.1 years |
European | — | UKB | — |
| PSS013028 | 401,I10 | — | [ ,
44.97 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013029 | 401,I10 | — | [ ,
44.97 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013030 | 401,I10 | — | [ ,
44.97 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013031 | 401,I10 | — | [ ,
44.97 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013032 | 401,I10 | — | [ ,
44.97 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013033 | 401,I10 | — | [ ,
44.97 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS011090 | — | — | [ ,
46.34 % Male samples |
— | East Asian (Han Chinese) |
— | CURES_China | — |
| PSS011921 | — | — | [
|
— | East Asian (Korean) |
— | HEXA | — |
| PSS011831 | 410, 411, 412, 413, 41, V45.81 (ICD-9), I21, I22, I24, Z95.1, Z98.61, I20.0 (ICD-10) | — | [
|
— | East Asian | — | PMB | — |
| PSS011925 | — | — | [
|
— | East Asian (Korean) |
— | HEXA | — |
| PSS013046 | 401.0, 405, 437.2,I15, I16, I67.4, N26.2 | — | [ ,
44.87 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013047 | 401.0, 405, 437.2,I15, I16, I67.4, N26.2 | — | [ ,
44.87 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013048 | 401.0, 405, 437.2,I15, I16, I67.4, N26.2 | — | [ ,
44.87 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013049 | 401.0, 405, 437.2,I15, I16, I67.4, N26.2 | — | [ ,
44.87 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013050 | 401.0, 405, 437.2,I15, I16, I67.4, N26.2 | — | [ ,
44.87 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS011930 | — | — | 10,836 individuals | — | European (British) |
— | UKB | — |
| PSS013062 | 411.81, 414.0, 414.1, 414.2, 414.3, 414.4, 996.03, V45.81, V45.82,I24.0, I25.1, I25.3, I25.4, I25.700, I25.701, I25.708, I25.709, I25.710, I25.711, I25.718, I25.719, I25.720, I25.721, I25.728, I25.729, I25.730, I25.731, I25.738, I25.739, I25.790, I25.791, I25.798, I25.799, I25.810, I25.82, I25.83, I25.84, Z95.1, Z95.5, Z98.6 | — | [ ,
44.85 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013063 | 411.81, 414.0, 414.1, 414.2, 414.3, 414.4, 996.03, V45.81, V45.82,I24.0, I25.1, I25.3, I25.4, I25.700, I25.701, I25.708, I25.709, I25.710, I25.711, I25.718, I25.719, I25.720, I25.721, I25.728, I25.729, I25.730, I25.731, I25.738, I25.739, I25.790, I25.791, I25.798, I25.799, I25.810, I25.82, I25.83, I25.84, Z95.1, Z95.5, Z98.6 | — | [ ,
44.85 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013064 | 411.81, 414.0, 414.1, 414.2, 414.3, 414.4, 996.03, V45.81, V45.82,I24.0, I25.1, I25.3, I25.4, I25.700, I25.701, I25.708, I25.709, I25.710, I25.711, I25.718, I25.719, I25.720, I25.721, I25.728, I25.729, I25.730, I25.731, I25.738, I25.739, I25.790, I25.791, I25.798, I25.799, I25.810, I25.82, I25.83, I25.84, Z95.1, Z95.5, Z98.6 | — | [ ,
44.85 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013065 | 411.81, 414.0, 414.1, 414.2, 414.3, 414.4, 996.03, V45.81, V45.82,I24.0, I25.1, I25.3, I25.4, I25.700, I25.701, I25.708, I25.709, I25.710, I25.711, I25.718, I25.719, I25.720, I25.721, I25.728, I25.729, I25.730, I25.731, I25.738, I25.739, I25.790, I25.791, I25.798, I25.799, I25.810, I25.82, I25.83, I25.84, Z95.1, Z95.5, Z98.6 | — | [ ,
44.85 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013066 | 411.81, 414.0, 414.1, 414.2, 414.3, 414.4, 996.03, V45.81, V45.82,I24.0, I25.1, I25.3, I25.4, I25.700, I25.701, I25.708, I25.709, I25.710, I25.711, I25.718, I25.719, I25.720, I25.721, I25.728, I25.729, I25.730, I25.731, I25.738, I25.739, I25.790, I25.791, I25.798, I25.799, I25.810, I25.82, I25.83, I25.84, Z95.1, Z95.5, Z98.6 | — | [ ,
44.85 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS009922 | — | — | [
|
— | European | — | NR | — |
| PSS011097 | — | — | 2,669 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) (Arab) |
— | NR | N total after excluding missing values = 2,553 |
| PSS004344 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004345 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004346 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004347 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004348 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004349 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004350 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004351 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004352 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004353 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS013127 | 434.01, 434.11, 434.91,I63.0, I63.3, I63.4, I63.5, I63.6, I63.8, I63.9 | — | [ ,
45.27 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS013128 | 434.01, 434.11, 434.91,I63.0, I63.3, I63.4, I63.5, I63.6, I63.8, I63.9 | — | [ ,
45.27 % Male samples |
— | East Asian (Han Chinese) |
— | TPMI | — |
| PSS000328 | ACS was defined as MI, unstable angina or death due to CHD. | Mean = 19.0 years | [ ,
44.8 % Male samples |
Mean = 43.9 years Sd = 11.3 years |
European (Finnish) |
— | FINRISK | FINRISK 1992 |
| PSS000328 | ACS was defined as MI, unstable angina or death due to CHD. | Mean = 14.0 years | [ ,
45.8 % Male samples |
Mean = 46.8 years Sd = 12.9 years |
European (Finnish) |
— | FINRISK97 | FINRISK 1997 |
| PSS000328 | ACS was defined as MI, unstable angina or death due to CHD. | Mean = 9.0 years | [ ,
45.0 % Male samples |
Mean = 47.5 years Sd = 13.0 years |
European (Finnish) |
— | FINRISK | FINRISK 2002 |
| PSS000328 | ACS was defined as MI, unstable angina or death due to CHD. | Mean = 8.0 years | [ ,
46.3 % Male samples |
Mean = 50.0 years Sd = 11.7 years |
European (Finnish) |
— | Health2000 | — |
| PSS000329 | CHD was defined as myocardial infarction, unstable angina pectoris, coronary revascularization (coronary artery bypass graft or percutaneous transluminal coronary angioplasty), or death due to CHD. | Mean = 19.0 years | [ ,
44.8 % Male samples |
Mean = 43.9 years Sd = 11.3 years |
European (Finnish) |
— | FINRISK | FINRISK 1992 |
| PSS000329 | CHD was defined as myocardial infarction, unstable angina pectoris, coronary revascularization (coronary artery bypass graft or percutaneous transluminal coronary angioplasty), or death due to CHD. | Mean = 14.0 years | [ ,
45.8 % Male samples |
Mean = 46.8 years Sd = 12.9 years |
European (Finnish) |
— | FINRISK97 | FINRISK 1997 |
| PSS000329 | CHD was defined as myocardial infarction, unstable angina pectoris, coronary revascularization (coronary artery bypass graft or percutaneous transluminal coronary angioplasty), or death due to CHD. | Mean = 9.0 years | [ ,
45.0 % Male samples |
Mean = 47.5 years Sd = 13.0 years |
European (Finnish) |
— | FINRISK | FINRISK 2002 |
| PSS000329 | CHD was defined as myocardial infarction, unstable angina pectoris, coronary revascularization (coronary artery bypass graft or percutaneous transluminal coronary angioplasty), or death due to CHD. | Mean = 8.0 years | [ ,
46.3 % Male samples |
Mean = 50.0 years Sd = 11.7 years |
European (Finnish) |
— | Health2000 | — |
| PSS000330 | CHD was defined as myocardial infarction, unstable angina pectoris, coronary revascularization (coronary artery bypass graft or percutaneous transluminal coronary angioplasty), or death due to CHD. CVD included CHD and ischemic stroke events. | Mean = 19.0 years | [ ,
44.8 % Male samples |
Mean = 43.9 years Sd = 11.3 years |
European (Finnish) |
— | FINRISK | FINRISK 1992 |
| PSS000330 | CHD was defined as myocardial infarction, unstable angina pectoris, coronary revascularization (coronary artery bypass graft or percutaneous transluminal coronary angioplasty), or death due to CHD. CVD included CHD and ischemic stroke events. | Mean = 14.0 years | [ ,
45.8 % Male samples |
Mean = 46.8 years Sd = 12.9 years |
European (Finnish) |
— | FINRISK97 | FINRISK 1997 |
| PSS000330 | CHD was defined as myocardial infarction, unstable angina pectoris, coronary revascularization (coronary artery bypass graft or percutaneous transluminal coronary angioplasty), or death due to CHD. CVD included CHD and ischemic stroke events. | Mean = 9.0 years | [ ,
45.0 % Male samples |
Mean = 47.5 years Sd = 13.0 years |
European (Finnish) |
— | FINRISK | FINRISK 2002 |
| PSS000330 | CHD was defined as myocardial infarction, unstable angina pectoris, coronary revascularization (coronary artery bypass graft or percutaneous transluminal coronary angioplasty), or death due to CHD. CVD included CHD and ischemic stroke events. | Mean = 8.0 years | [ ,
46.3 % Male samples |
Mean = 50.0 years Sd = 11.7 years |
European (Finnish) |
— | Health2000 | — |
| PSS000331 | CHD was defined as occurrence of either myocardial infarction (MI) or coronary revascularization events (such as percutaneous coronary intervention or coronary artery bypass grafting) using ICD codes. Individuals with MI were defined as those whose EHR included at least two related diagnostic codes on separate occasions within a 5-day window, and individuals with coronary revascularization were defined as those who had at least one relevant procedural code in the EHR. ICD codelists and phenotyping algorithm in PMID:27678441 and PMID:25717410 | Median = 9.2 years IQR = [5.5, 13.0] years |
[ ,
31.0 % Male samples |
Mean = 43.6 years Sd = 12.5 years |
African American or Afro-Caribbean | — | 7 cohorts
|
right censored at age 75 years or at the age of last observation (whichever was first) |
| PSS000332 | CHD was defined as occurrence of either myocardial infarction (MI) or coronary revascularization events (such as percutaneous coronary intervention or coronary artery bypass grafting) using ICD codes. Individuals with MI were defined as those whose EHR included at least two related diagnostic codes on separate occasions within a 5-day window, and individuals with coronary revascularization were defined as those who had at least one relevant procedural code in the EHR. We identified the first CHD event and classified it as ‘‘incident’’ if the event occurred at least 6 months after the participant’s first record in the EHR and if there were no previous ICD-9-CM or ICD-10-CM codes associated with CHD. ICD codelists and phenotyping algorithm in PMID:27678441 and PMID:25717410 | Median = 9.2 years IQR = [5.5, 13.0] years |
[ ,
31.0 % Male samples |
Mean = 43.6 years Sd = 12.5 years |
African American or Afro-Caribbean | — | 7 cohorts
|
right censored at age 75 years or at the age of last observation (whichever was first) |
| PSS000333 | CHD was defined as occurrence of either myocardial infarction (MI) or coronary revascularization events (such as percutaneous coronary intervention or coronary artery bypass grafting) using ICD codes. Individuals with MI were defined as those whose EHR included at least two related diagnostic codes on separate occasions within a 5-day window, and individuals with coronary revascularization were defined as those who had at least one relevant procedural code in the EHR. ICD codelists and phenotyping algorithm in PMID:27678441 and PMID:25717410 | Median = 11.7 years IQR = [6.0, 18.5] years |
[ ,
44.6 % Male samples |
Mean = 49.0 years Sd = 14.1 years |
European | — | 11 cohorts
|
right censored at age 75 years or at the age of last observation (whichever was first) |
| PSS000334 | CHD was defined as occurrence of either myocardial infarction (MI) or coronary revascularization events (such as percutaneous coronary intervention or coronary artery bypass grafting) using ICD codes. Individuals with MI were defined as those whose EHR included at least two related diagnostic codes on separate occasions within a 5-day window, and individuals with coronary revascularization were defined as those who had at least one relevant procedural code in the EHR. We identified the first CHD event and classified it as ‘‘incident’’ if the event occurred at least 6 months after the participant’s first record in the EHR and if there were no previous ICD-9-CM or ICD-10-CM codes associated with CHD. ICD codelists and phenotyping algorithm in PMID:27678441 and PMID:25717410 | Median = 11.7 years IQR = [6.0, 18.5] years |
[ ,
44.6 % Male samples |
Mean = 49.0 years Sd = 14.1 years |
European | — | 11 cohorts
|
right censored at age 75 years or at the age of last observation (whichever was first) |
| PSS000335 | CHD was defined as occurrence of either myocardial infarction (MI) or coronary revascularization events (such as percutaneous coronary intervention or coronary artery bypass grafting) using ICD codes. Individuals with MI were defined as those whose EHR included at least two related diagnostic codes on separate occasions within a 5-day window, and individuals with coronary revascularization were defined as those who had at least one relevant procedural code in the EHR. ICD codelists and phenotyping algorithm in PMID:27678441 and PMID:25717410 | Median = 10.4 years IQR = [5.7, 14.7] years |
[ ,
36.2 % Male samples |
Mean = 41.1 years Sd = 13.2 years |
Hispanic or Latin American | — | 8 cohorts
|
right censored at age 75 years or at the age of last observation (whichever was first) |
| PSS000336 | CHD was defined as occurrence of either myocardial infarction (MI) or coronary revascularization events (such as percutaneous coronary intervention or coronary artery bypass grafting) using ICD codes. Individuals with MI were defined as those whose EHR included at least two related diagnostic codes on separate occasions within a 5-day window, and individuals with coronary revascularization were defined as those who had at least one relevant procedural code in the EHR. We identified the first CHD event and classified it as ‘‘incident’’ if the event occurred at least 6 months after the participant’s first record in the EHR and if there were no previous ICD-9-CM or ICD-10-CM codes associated with CHD. ICD codelists and phenotyping algorithm in PMID:27678441 and PMID:25717410 | Median = 10.4 years IQR = [5.7, 14.7] years |
[ ,
36.2 % Male samples |
Mean = 41.1 years Sd = 13.2 years |
Hispanic or Latin American | — | 8 cohorts
|
right censored at age 75 years or at the age of last observation (whichever was first) |
| PSS009939 | — | — | 39,444 individuals | — | European (Finnish) |
— | FinnGen | — |
| PSS009941 | We used the disease definitions described in the supplement of Said et al (2018). PMID: 29955826 | — | [ ,
46.0 % Male samples |
European | — | UKB | — | |
| PSS009942 | We used the disease definitions described in the supplement of Said et al (2018). PMID: 29955826 | — | [ ,
42.0 % Male samples |
European | — | UKB | — | |
| PSS004403 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004404 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004405 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004406 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004407 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS001026 | — | — | 2,647 individuals | — | European | — | MESA | — |
| PSS001026 | — | — | 728 individuals | — | East Asian | — | MESA | — |
| PSS001026 | — | — | 1,834 individuals | — | African American or Afro-Caribbean | — | MESA | — |
| PSS001026 | — | — | 1,451 individuals | — | Hispanic or Latin American | — | MESA | — |
| PSS009958 | — | — | 21,863 individuals, 0.0 % Male samples |
Mean = 65.3 years | European (Non-Hispanic White) |
— | WHI | — |
| PSS008412 | — | — | 1,200 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS008413 | — | — | 1,158 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS009960 | — | — | 172,066 individuals, 100.0 % Male samples |
Mean = 57.8 years | Not reported | — | UKB | — |
| PSS009961 | — | — | 208,627 individuals, 0.0 % Male samples |
Mean = 57.4 years | Not reported | — | UKB | — |
| PSS008419 | — | — | 1,183 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS009965 | CAD events were defined according to the Data Collection on Adverse events of Anti-HIV Drugs (D:A:D) study and the MONICA Project of the World Health Organization, as reported elsewhere | — | [
|
— | European | — | SHCS | — |
| PSS009971 | — | — | 30,716 individuals | — | European | — | MGBB | — |
| PSS009971 | — | — | 1,807 individuals | — | African unspecified (Black) |
— | MGBB | — |
| PSS009971 | — | — | 786 individuals | — | Asian unspecified | — | MGBB | — |
| PSS009971 | — | — | 3,113 individuals | — | Other | — | MGBB | — |
| PSS011183 | — | — | [ ,
44.3 % Male samples |
Mean = 56.2 years Sd = 8.05 years |
European (British) |
— | UKB | — |
| PSS009986 | — | — | [ ,
47.0 % Male samples |
— | Greater Middle Eastern (Middle Eastern, North African or Persian) (Qatari) |
— | QBB | — |
| PSS009989 | — | — | 360,098 individuals, 45.1 % Male samples |
Mean = 56.95 years | European | — | UKB | — |
| PSS001063 | Cases were individuals with incident coronary heart disesase (CHD). The outcome CHD was a combined endpoint of nonfatal myocardial infarction as well as coronary death and sudden death (International Classification of Disease 9th Revision: 410–414 and 798). Until December 2000, the diagnosis of a major, nonfatal myocardial infarction and coronary death was based on the MONICA algorithm in which a diagnosis of a major CHD event was based on symptoms, cardiac enzymes (creatine kinase, aspartate aminotransferase, and lactate dehydrogenase), serial changes from 12‐lead electrocardiograms (ECGs) evaluated by Minnesota coding, necropsy results and history of CHD in fatal cases. Since January 1, 2001, the diagnosis of myocardial infarction was based on the European Society of Cardiology and American College of Cardiology criteria. Incident events were identified through follow‐up questionnaires or through the MONICA/KORA myocardial infarction registry, which monitors the occurrence of all in‐ and out of‐hospital fatal and nonfatal myocardial infarctions among the 25–74‐year‐old inhabitants of the study region. Initially identified self‐reported incident cases and the self‐reported date of diagnosis not covered by the MONICA/KORA myocardial infarction registry, were validated by hospital records or by contacting the patient's treating physician. Deaths from myocardial in- farction were validated by death certificates, autopsy reports, chart reviews, or information from the last treating physician. | Median = 14.0 years IQR = [14.0, 14.0] years |
[ ,
48.1 % Male samples |
— | European | — | KORA | — |
| PSS001064 | Cases were individuals with incident coronary heart disesase (CHD). The outcome CHD was a combined endpoint of nonfatal myocardial infarction as well as coronary death and sudden death (International Classification of Disease 9th Revision: 410–414 and 798). Until December 2000, the diagnosis of a major, nonfatal myocardial infarction and coronary death was based on the MONICA algorithm in which a diagnosis of a major CHD event was based on symptoms, cardiac enzymes (creatine kinase, aspartate aminotransferase, and lactate dehydrogenase), serial changes from 12‐lead electrocardiograms (ECGs) evaluated by Minnesota coding, necropsy results and history of CHD in fatal cases. Since January 1, 2001, the diagnosis of myocardial infarction was based on the European Society of Cardiology and American College of Cardiology criteria. Incident events were identified through follow‐up questionnaires or through the MONICA/KORA myocardial infarction registry, which monitors the occurrence of all in‐ and out of‐hospital fatal and nonfatal myocardial infarctions among the 25–74‐year‐old inhabitants of the study region. Initially identified self‐reported incident cases and the self‐reported date of diagnosis not covered by the MONICA/KORA myocardial infarction registry, were validated by hospital records or by contacting the patient's treating physician. Deaths from myocardial in- farction were validated by death certificates, autopsy reports, chart reviews, or information from the last treating physician. | Median = 14.0 years IQR = [10.3, 14.0] years |
[ ,
53.06 % Male samples |
— | European | — | KORA | — |
| PSS012028 | ICD-9 Diagnosis: 4400, 44020, 44021, 44022, 44023, 44024, 44029, 44030, 44031, 44032, 4404, 4408, 4439, 4471 ICD-10 Diagnosis: I700, I70201, I70202, I70203, I70209, I70211, I70212, I70213, I70219, I70221, I70222, I70223, I7025, I70229, I70231, I70232, I70233, I70234, I70235, I70238, I70239, I70241, I70242, I70243, I70244, I70245, I70248, I70249, I70261, I70262, I70263, I70269, I70291, I70292, I70293, I70299, I70301, I70302, I70303, I70309, I70311, I70312, I70313, I70319, I70321, I70322, I70323, I70329, I70331, I70332, I70333, I70334, I70335, I70338, I70339, I70341, I70342, I70343, I70344, I70345, I70348, I70349, I70361, I70362, I70363, I70369, I70391, I70392, I70393, I70399, I70401, I70402, I70403, I70409, I70411, I70412, I70413, I70419, I70421, I70422, I70423, I70429, I70431, I70432, I70433, I70434, I70435, I70438, I70439, I70441, I70442, I70443, I70444, I70445, I70448, I70449, I70461, I70462, I70463, I70469, I70491, I70492, I70493, I70499, I70501, I70502, I70503, I70509, I70511, I70512, I70513, I70519, I70521, I70522, I70523, I70529, I70531, I70532, I70533, I70534, I70535, I70538, I70539, I70541, I70542, I70543, I70544, I70545, I70548, I70549, I70561, I70562, I70563, I70569, I70591, I70592, I70593, I70599, I70601, I70602, I70603, I70609, I70611, I70612, I70613, I70619, I70621, I70622, I70623, I70629, I70631, I70632, I70633, I70634, I70635, I70638, I70639, I70641, I70642, I70643, I70644, I70645, I70648, I70649, I70661, I70662, I70663, I70669, I70691, I70692, I70693, I70699, I70701, I70702, I70703, I70709, I70711, I70712, I70713, I70719, I70721, I70722, I70723, I70729, I70731, I70732, I70733, I70734, I70735, I70738, I70739, I70741, I70742, I70743, I70744, I70745, I70748, I70749, I70761, I70762, I70763, I70769, I70791, I70792, I70793, I70799, I7092, I739, I771 CPT: 93668, 27290, 27295, 27590, 27592, 27594, 27596, 27598, 27880, 27881, 27882, 27884, 27886, 27888, 35302, 35303, 35304, 35305, 35306, 35331, 35351, 35355, 35361, 35363, 35371, 35372, 35452, 35454, 35456, 35459, 35470, 35472, 35473, 35474, 35481, 35482, 35483, 35485, 35491, 35492, 35493, 35495, 35521, 35533, 35537, 35538, 35539, 35540, 35548, 35549, 35551, 35556, 35558, 35563, 35565, 35566, 35571, 35583, 35585, 35587, 35621, 35623, 35637, 35638, 35646, 35647, 35654, 35656, 35661, 35663, 35665, 35666, 35671, 35876, 35879, 35881, 35883, 35884, 37220, 37221, 37222, 37223, 37224, 37225, 37226, 37227, 37228, 37229, 37230, 37231, 37232, 37233, 37234, 37235, 35381, 35541, 35546, 35582, 35651, 35641 ICD-9 Procedure: 38.18, 39.25, 39.29, 39.5, 39.9, 84.1, 84.12, 84.13, 84.14, 84.15, 84.16, 84.17, 84.18, 84.19, 84.3 ICD-10 Procedure: 041C***, 041D***, 041F***, 041H***, 041J***, 041K***, 041L***, 041M***, 041N***, 041U***, 0470***, 047C***, 047D***, 047E***, 047F***, 047H***, 047J***, 047K***, 047L***, 047M***, 047N***, 047P***, 047Q***, 047R***, 047S***, 047T***, 047U***, 047V***, 047W***, 047Y***, 04C0***, 04CC***, 04CD***, 04CE***, 04CF***, 04CH***, 04CJ***, 04CK***, 04CL***, 04CM***, 04CN***, 04CP***, 04CQ***, 04CR***, 04CS***, 04CT***, 04CU***, 04CV***, 04CW***, 04CY***, 0Y62***, 0Y63***, 0Y68***, 0Y6C***, 0Y6D***, 0Y6F***, 0Y6G***, 0Y6H***, 0Y6J***, 0Y6M***, 0Y6N*** | Median = 2.32 years | [
|
— | Greater Middle Eastern (Middle Eastern, North African or Persian) | — | AllofUs | — |
| PSS012029 | ICD-9 Diagnosis: 4400, 44020, 44021, 44022, 44023, 44024, 44029, 44030, 44031, 44032, 4404, 4408, 4439, 4471 ICD-10 Diagnosis: I700, I70201, I70202, I70203, I70209, I70211, I70212, I70213, I70219, I70221, I70222, I70223, I7025, I70229, I70231, I70232, I70233, I70234, I70235, I70238, I70239, I70241, I70242, I70243, I70244, I70245, I70248, I70249, I70261, I70262, I70263, I70269, I70291, I70292, I70293, I70299, I70301, I70302, I70303, I70309, I70311, I70312, I70313, I70319, I70321, I70322, I70323, I70329, I70331, I70332, I70333, I70334, I70335, I70338, I70339, I70341, I70342, I70343, I70344, I70345, I70348, I70349, I70361, I70362, I70363, I70369, I70391, I70392, I70393, I70399, I70401, I70402, I70403, I70409, I70411, I70412, I70413, I70419, I70421, I70422, I70423, I70429, I70431, I70432, I70433, I70434, I70435, I70438, I70439, I70441, I70442, I70443, I70444, I70445, I70448, I70449, I70461, I70462, I70463, I70469, I70491, I70492, I70493, I70499, I70501, I70502, I70503, I70509, I70511, I70512, I70513, I70519, I70521, I70522, I70523, I70529, I70531, I70532, I70533, I70534, I70535, I70538, I70539, I70541, I70542, I70543, I70544, I70545, I70548, I70549, I70561, I70562, I70563, I70569, I70591, I70592, I70593, I70599, I70601, I70602, I70603, I70609, I70611, I70612, I70613, I70619, I70621, I70622, I70623, I70629, I70631, I70632, I70633, I70634, I70635, I70638, I70639, I70641, I70642, I70643, I70644, I70645, I70648, I70649, I70661, I70662, I70663, I70669, I70691, I70692, I70693, I70699, I70701, I70702, I70703, I70709, I70711, I70712, I70713, I70719, I70721, I70722, I70723, I70729, I70731, I70732, I70733, I70734, I70735, I70738, I70739, I70741, I70742, I70743, I70744, I70745, I70748, I70749, I70761, I70762, I70763, I70769, I70791, I70792, I70793, I70799, I7092, I739, I771 CPT: 93668, 27290, 27295, 27590, 27592, 27594, 27596, 27598, 27880, 27881, 27882, 27884, 27886, 27888, 35302, 35303, 35304, 35305, 35306, 35331, 35351, 35355, 35361, 35363, 35371, 35372, 35452, 35454, 35456, 35459, 35470, 35472, 35473, 35474, 35481, 35482, 35483, 35485, 35491, 35492, 35493, 35495, 35521, 35533, 35537, 35538, 35539, 35540, 35548, 35549, 35551, 35556, 35558, 35563, 35565, 35566, 35571, 35583, 35585, 35587, 35621, 35623, 35637, 35638, 35646, 35647, 35654, 35656, 35661, 35663, 35665, 35666, 35671, 35876, 35879, 35881, 35883, 35884, 37220, 37221, 37222, 37223, 37224, 37225, 37226, 37227, 37228, 37229, 37230, 37231, 37232, 37233, 37234, 37235, 35381, 35541, 35546, 35582, 35651, 35641 ICD-9 Procedure: 38.18, 39.25, 39.29, 39.5, 39.9, 84.1, 84.12, 84.13, 84.14, 84.15, 84.16, 84.17, 84.18, 84.19, 84.3 ICD-10 Procedure: 041C***, 041D***, 041F***, 041H***, 041J***, 041K***, 041L***, 041M***, 041N***, 041U***, 0470***, 047C***, 047D***, 047E***, 047F***, 047H***, 047J***, 047K***, 047L***, 047M***, 047N***, 047P***, 047Q***, 047R***, 047S***, 047T***, 047U***, 047V***, 047W***, 047Y***, 04C0***, 04CC***, 04CD***, 04CE***, 04CF***, 04CH***, 04CJ***, 04CK***, 04CL***, 04CM***, 04CN***, 04CP***, 04CQ***, 04CR***, 04CS***, 04CT***, 04CU***, 04CV***, 04CW***, 04CY***, 0Y62***, 0Y63***, 0Y68***, 0Y6C***, 0Y6D***, 0Y6F***, 0Y6G***, 0Y6H***, 0Y6J***, 0Y6M***, 0Y6N*** | Median = 2.32 years | [
|
— | South Asian | — | AllofUs | — |
| PSS012030 | Phenotype constructed using NLP applied to unstructured EHR text and ICD10 codes: | Median = 5.19 years | [
|
— | African American or Afro-Caribbean | — | MGBB | — |
| PSS012031 | Phenotype constructed using NLP applied to unstructured EHR text and ICD10 codes: | Median = 5.19 years | [
|
— | European | — | MGBB | — |
| PSS012032 | Phenotype constructed using NLP applied to unstructured EHR text and ICD10 codes: | Median = 5.19 years | [
|
— | Hispanic or Latin American | — | MGBB | — |
| PSS012034 | ICD10: I70.0, I70.00, I70.01, I70.2, I70.20, I70.21, I70.8, I70.80, I70.81, I70.9, I70.90, I70.91, I73.8, I73.9 ICD9: 4400, 4402, 4408, 4438, 4439, 9976 OPCS4: X09.1, X09.2, X09.3, X09.4, X09.5, X09.8, X09.9, X10.1, X10.8, X10.9, X12.1, X12.3, X12.4, L16.2, L16.3, L21.6, L25.1, L25.2, L26.1, L26.2, L51.1, L51.2, L51.3, L51.4, L51.6, L51.8, L52.1, L52.2, L54.1, L54.4, L54.8, L54.9, L59.1, L59.2, L59.3, L59.4, L59.5, L59.6, L59.7, L59.8, L59.9, L60.1, L60.2, L60.3, L60.4, L60.8, L60.9, L63.1, L63.5, L63.8, L63.9, L66.5, L66.7, L66.8, L66.9, L68.1, L68.2, L71.1, L71.5, L71.7, L71.8, L71.9 OPCS3: 873, 874, 881, 8841 | Median = 12.1 years | [
|
— | African unspecified | — | UKB | — |
| PSS012035 | ICD10: I70.0, I70.00, I70.01, I70.2, I70.20, I70.21, I70.8, I70.80, I70.81, I70.9, I70.90, I70.91, I73.8, I73.9 ICD9: 4400, 4402, 4408, 4438, 4439, 9976 OPCS4: X09.1, X09.2, X09.3, X09.4, X09.5, X09.8, X09.9, X10.1, X10.8, X10.9, X12.1, X12.3, X12.4, L16.2, L16.3, L21.6, L25.1, L25.2, L26.1, L26.2, L51.1, L51.2, L51.3, L51.4, L51.6, L51.8, L52.1, L52.2, L54.1, L54.4, L54.8, L54.9, L59.1, L59.2, L59.3, L59.4, L59.5, L59.6, L59.7, L59.8, L59.9, L60.1, L60.2, L60.3, L60.4, L60.8, L60.9, L63.1, L63.5, L63.8, L63.9, L66.5, L66.7, L66.8, L66.9, L68.1, L68.2, L71.1, L71.5, L71.7, L71.8, L71.9 OPCS3: 873, 874, 881, 8841 | Median = 12.1 years | [
|
— | East Asian | — | UKB | — |
| PSS012036 | ICD10: I70.0, I70.00, I70.01, I70.2, I70.20, I70.21, I70.8, I70.80, I70.81, I70.9, I70.90, I70.91, I73.8, I73.9 ICD9: 4400, 4402, 4408, 4438, 4439, 9976 OPCS4: X09.1, X09.2, X09.3, X09.4, X09.5, X09.8, X09.9, X10.1, X10.8, X10.9, X12.1, X12.3, X12.4, L16.2, L16.3, L21.6, L25.1, L25.2, L26.1, L26.2, L51.1, L51.2, L51.3, L51.4, L51.6, L51.8, L52.1, L52.2, L54.1, L54.4, L54.8, L54.9, L59.1, L59.2, L59.3, L59.4, L59.5, L59.6, L59.7, L59.8, L59.9, L60.1, L60.2, L60.3, L60.4, L60.8, L60.9, L63.1, L63.5, L63.8, L63.9, L66.5, L66.7, L66.8, L66.9, L68.1, L68.2, L71.1, L71.5, L71.7, L71.8, L71.9 OPCS3: 873, 874, 881, 8841 | Median = 12.1 years | [
|
— | South Asian | — | UKB | — |
| PSS012033 | ICD10: I70.0, I70.00, I70.01, I70.2, I70.20, I70.21, I70.8, I70.80, I70.81, I70.9, I70.90, I70.91, I73.8, I73.9 ICD9: 4400, 4402, 4408, 4438, 4439, 9976 OPCS4: X09.1, X09.2, X09.3, X09.4, X09.5, X09.8, X09.9, X10.1, X10.8, X10.9, X12.1, X12.3, X12.4, L16.2, L16.3, L21.6, L25.1, L25.2, L26.1, L26.2, L51.1, L51.2, L51.3, L51.4, L51.6, L51.8, L52.1, L52.2, L54.1, L54.4, L54.8, L54.9, L59.1, L59.2, L59.3, L59.4, L59.5, L59.6, L59.7, L59.8, L59.9, L60.1, L60.2, L60.3, L60.4, L60.8, L60.9, L63.1, L63.5, L63.8, L63.9, L66.5, L66.7, L66.8, L66.9, L68.1, L68.2, L71.1, L71.5, L71.7, L71.8, L71.9 OPCS3: 873, 874, 881, 8841 | Median = 12.1 years | [
|
— | African American or Afro-Caribbean, East Asian, European, Greater Middle Eastern (Middle Eastern, North African or Persian), South Asian | — | UKB | — |
| PSS012038 | ICD-9 Diagnosis: 4400, 44020, 44021, 44022, 44023, 44024, 44029, 44030, 44031, 44032, 4404, 4408, 4439, 4471 ICD-10 Diagnosis: I700, I70201, I70202, I70203, I70209, I70211, I70212, I70213, I70219, I70221, I70222, I70223, I7025, I70229, I70231, I70232, I70233, I70234, I70235, I70238, I70239, I70241, I70242, I70243, I70244, I70245, I70248, I70249, I70261, I70262, I70263, I70269, I70291, I70292, I70293, I70299, I70301, I70302, I70303, I70309, I70311, I70312, I70313, I70319, I70321, I70322, I70323, I70329, I70331, I70332, I70333, I70334, I70335, I70338, I70339, I70341, I70342, I70343, I70344, I70345, I70348, I70349, I70361, I70362, I70363, I70369, I70391, I70392, I70393, I70399, I70401, I70402, I70403, I70409, I70411, I70412, I70413, I70419, I70421, I70422, I70423, I70429, I70431, I70432, I70433, I70434, I70435, I70438, I70439, I70441, I70442, I70443, I70444, I70445, I70448, I70449, I70461, I70462, I70463, I70469, I70491, I70492, I70493, I70499, I70501, I70502, I70503, I70509, I70511, I70512, I70513, I70519, I70521, I70522, I70523, I70529, I70531, I70532, I70533, I70534, I70535, I70538, I70539, I70541, I70542, I70543, I70544, I70545, I70548, I70549, I70561, I70562, I70563, I70569, I70591, I70592, I70593, I70599, I70601, I70602, I70603, I70609, I70611, I70612, I70613, I70619, I70621, I70622, I70623, I70629, I70631, I70632, I70633, I70634, I70635, I70638, I70639, I70641, I70642, I70643, I70644, I70645, I70648, I70649, I70661, I70662, I70663, I70669, I70691, I70692, I70693, I70699, I70701, I70702, I70703, I70709, I70711, I70712, I70713, I70719, I70721, I70722, I70723, I70729, I70731, I70732, I70733, I70734, I70735, I70738, I70739, I70741, I70742, I70743, I70744, I70745, I70748, I70749, I70761, I70762, I70763, I70769, I70791, I70792, I70793, I70799, I7092, I739, I771 CPT: 93668, 27290, 27295, 27590, 27592, 27594, 27596, 27598, 27880, 27881, 27882, 27884, 27886, 27888, 35302, 35303, 35304, 35305, 35306, 35331, 35351, 35355, 35361, 35363, 35371, 35372, 35452, 35454, 35456, 35459, 35470, 35472, 35473, 35474, 35481, 35482, 35483, 35485, 35491, 35492, 35493, 35495, 35521, 35533, 35537, 35538, 35539, 35540, 35548, 35549, 35551, 35556, 35558, 35563, 35565, 35566, 35571, 35583, 35585, 35587, 35621, 35623, 35637, 35638, 35646, 35647, 35654, 35656, 35661, 35663, 35665, 35666, 35671, 35876, 35879, 35881, 35883, 35884, 37220, 37221, 37222, 37223, 37224, 37225, 37226, 37227, 37228, 37229, 37230, 37231, 37232, 37233, 37234, 37235, 35381, 35541, 35546, 35582, 35651, 35641 ICD-9 Procedure: 38.18, 39.25, 39.29, 39.5, 39.9, 84.1, 84.12, 84.13, 84.14, 84.15, 84.16, 84.17, 84.18, 84.19, 84.3 ICD-10 Procedure: 041C***, 041D***, 041F***, 041H***, 041J***, 041K***, 041L***, 041M***, 041N***, 041U***, 0470***, 047C***, 047D***, 047E***, 047F***, 047H***, 047J***, 047K***, 047L***, 047M***, 047N***, 047P***, 047Q***, 047R***, 047S***, 047T***, 047U***, 047V***, 047W***, 047Y***, 04C0***, 04CC***, 04CD***, 04CE***, 04CF***, 04CH***, 04CJ***, 04CK***, 04CL***, 04CM***, 04CN***, 04CP***, 04CQ***, 04CR***, 04CS***, 04CT***, 04CU***, 04CV***, 04CW***, 04CY***, 0Y62***, 0Y63***, 0Y68***, 0Y6C***, 0Y6D***, 0Y6F***, 0Y6G***, 0Y6H***, 0Y6J***, 0Y6M***, 0Y6N*** | Median = 2.32 years | [
|
— | African American or Afro-Caribbean | — | AllofUs | — |
| PSS012039 | ICD-9 Diagnosis: 4400, 44020, 44021, 44022, 44023, 44024, 44029, 44030, 44031, 44032, 4404, 4408, 4439, 4471 ICD-10 Diagnosis: I700, I70201, I70202, I70203, I70209, I70211, I70212, I70213, I70219, I70221, I70222, I70223, I7025, I70229, I70231, I70232, I70233, I70234, I70235, I70238, I70239, I70241, I70242, I70243, I70244, I70245, I70248, I70249, I70261, I70262, I70263, I70269, I70291, I70292, I70293, I70299, I70301, I70302, I70303, I70309, I70311, I70312, I70313, I70319, I70321, I70322, I70323, I70329, I70331, I70332, I70333, I70334, I70335, I70338, I70339, I70341, I70342, I70343, I70344, I70345, I70348, I70349, I70361, I70362, I70363, I70369, I70391, I70392, I70393, I70399, I70401, I70402, I70403, I70409, I70411, I70412, I70413, I70419, I70421, I70422, I70423, I70429, I70431, I70432, I70433, I70434, I70435, I70438, I70439, I70441, I70442, I70443, I70444, I70445, I70448, I70449, I70461, I70462, I70463, I70469, I70491, I70492, I70493, I70499, I70501, I70502, I70503, I70509, I70511, I70512, I70513, I70519, I70521, I70522, I70523, I70529, I70531, I70532, I70533, I70534, I70535, I70538, I70539, I70541, I70542, I70543, I70544, I70545, I70548, I70549, I70561, I70562, I70563, I70569, I70591, I70592, I70593, I70599, I70601, I70602, I70603, I70609, I70611, I70612, I70613, I70619, I70621, I70622, I70623, I70629, I70631, I70632, I70633, I70634, I70635, I70638, I70639, I70641, I70642, I70643, I70644, I70645, I70648, I70649, I70661, I70662, I70663, I70669, I70691, I70692, I70693, I70699, I70701, I70702, I70703, I70709, I70711, I70712, I70713, I70719, I70721, I70722, I70723, I70729, I70731, I70732, I70733, I70734, I70735, I70738, I70739, I70741, I70742, I70743, I70744, I70745, I70748, I70749, I70761, I70762, I70763, I70769, I70791, I70792, I70793, I70799, I7092, I739, I771 CPT: 93668, 27290, 27295, 27590, 27592, 27594, 27596, 27598, 27880, 27881, 27882, 27884, 27886, 27888, 35302, 35303, 35304, 35305, 35306, 35331, 35351, 35355, 35361, 35363, 35371, 35372, 35452, 35454, 35456, 35459, 35470, 35472, 35473, 35474, 35481, 35482, 35483, 35485, 35491, 35492, 35493, 35495, 35521, 35533, 35537, 35538, 35539, 35540, 35548, 35549, 35551, 35556, 35558, 35563, 35565, 35566, 35571, 35583, 35585, 35587, 35621, 35623, 35637, 35638, 35646, 35647, 35654, 35656, 35661, 35663, 35665, 35666, 35671, 35876, 35879, 35881, 35883, 35884, 37220, 37221, 37222, 37223, 37224, 37225, 37226, 37227, 37228, 37229, 37230, 37231, 37232, 37233, 37234, 37235, 35381, 35541, 35546, 35582, 35651, 35641 ICD-9 Procedure: 38.18, 39.25, 39.29, 39.5, 39.9, 84.1, 84.12, 84.13, 84.14, 84.15, 84.16, 84.17, 84.18, 84.19, 84.3 ICD-10 Procedure: 041C***, 041D***, 041F***, 041H***, 041J***, 041K***, 041L***, 041M***, 041N***, 041U***, 0470***, 047C***, 047D***, 047E***, 047F***, 047H***, 047J***, 047K***, 047L***, 047M***, 047N***, 047P***, 047Q***, 047R***, 047S***, 047T***, 047U***, 047V***, 047W***, 047Y***, 04C0***, 04CC***, 04CD***, 04CE***, 04CF***, 04CH***, 04CJ***, 04CK***, 04CL***, 04CM***, 04CN***, 04CP***, 04CQ***, 04CR***, 04CS***, 04CT***, 04CU***, 04CV***, 04CW***, 04CY***, 0Y62***, 0Y63***, 0Y68***, 0Y6C***, 0Y6D***, 0Y6F***, 0Y6G***, 0Y6H***, 0Y6J***, 0Y6M***, 0Y6N*** | Median = 2.32 years | [
|
— | East Asian | — | AllofUs | — |
| PSS011197 | — | — | [
|
— | European | — | WTCCC | — |
| PSS011198 | — | — | [
|
— | European | — | UCC-SMART | — |
| PSS011199 | — | — | [
|
— | European | — | OxAAA, UKAGS, UKB, UppsalaAAA, VIVA | — |
| PSS000365 | Case-control study of first-onset acute myocardial infarction | — | [ ,
90.7 % Male samples |
Mean = 34.0 years IQR = [30.0, 35.0] years |
South Asian | — | BRAVE | — |
| PSS000365 | Case-control study of first-onset acute myocardial infarction | — | 244 individuals, 90.2 % Male samples |
Mean = 33.0 years IQR = [30.0, 35.0] years |
South Asian | — | BRAVE | — |
| PSS000366 | Cases composed of men and women diagnosed with coronary artery disease. Controls were selected from consenting men and women without any form of heart disease. | — | [ ,
90.2 % Male samples |
Mean = 54.0 years IQR = [46.0, 60.0] years |
South Asian | — | MedGenome | — |
| PSS000366 | Cases composed of men and women diagnosed with coronary artery disease. Controls were selected from consenting men and women without any form of heart disease. | — | 1,163 individuals, 76.4 % Male samples |
Mean = 55.0 years IQR = [49.0, 62.0] years |
South Asian | — | MedGenome | — |
| PSS000367 | Ascertainment of coronary artery disease was based on self-report or hospital admission diagnosis. This included individuals with ICD-9 codes of 410.X, 411.0, 412.X, or 429.79, or ICD-10 codes of I21.X, I22.X, I23.X, I24.1, or I25.2 in hospitalization records. Coronary revascularization was assessed based on an OPCS-4 coded procedure for coronary artery bypass grafting (K40.1–40.4, K41.1–41.4, or K45.1–45.5), or coronary angioplasty with or without stenting (K49.1–49.2, K49.8–49.9, K50.2, K75.1–75.4, or K75.8–75.9). | — | [ ,
86.7 % Male samples |
Mean = 60.6 years IQR = [54.4, 66.1] years |
South Asian | — | UKB | — |
| PSS000367 | Ascertainment of coronary artery disease was based on self-report or hospital admission diagnosis. This included individuals with ICD-9 codes of 410.X, 411.0, 412.X, or 429.79, or ICD-10 codes of I21.X, I22.X, I23.X, I24.1, or I25.2 in hospitalization records. Coronary revascularization was assessed based on an OPCS-4 coded procedure for coronary artery bypass grafting (K40.1–40.4, K41.1–41.4, or K45.1–45.5), or coronary angioplasty with or without stenting (K49.1–49.2, K49.8–49.9, K50.2, K75.1–75.4, or K75.8–75.9). | — | 6,846 individuals, 52.1 % Male samples |
Mean = 52.8 years IQR = [46.3, 60.2] years |
South Asian | — | UKB | — |
| PSS011200 | — | — | [
|
— | European | — | UKB | — |
| PSS012041 | ICD-9 Diagnosis: 4400, 44020, 44021, 44022, 44023, 44024, 44029, 44030, 44031, 44032, 4404, 4408, 4439, 4471 ICD-10 Diagnosis: I700, I70201, I70202, I70203, I70209, I70211, I70212, I70213, I70219, I70221, I70222, I70223, I7025, I70229, I70231, I70232, I70233, I70234, I70235, I70238, I70239, I70241, I70242, I70243, I70244, I70245, I70248, I70249, I70261, I70262, I70263, I70269, I70291, I70292, I70293, I70299, I70301, I70302, I70303, I70309, I70311, I70312, I70313, I70319, I70321, I70322, I70323, I70329, I70331, I70332, I70333, I70334, I70335, I70338, I70339, I70341, I70342, I70343, I70344, I70345, I70348, I70349, I70361, I70362, I70363, I70369, I70391, I70392, I70393, I70399, I70401, I70402, I70403, I70409, I70411, I70412, I70413, I70419, I70421, I70422, I70423, I70429, I70431, I70432, I70433, I70434, I70435, I70438, I70439, I70441, I70442, I70443, I70444, I70445, I70448, I70449, I70461, I70462, I70463, I70469, I70491, I70492, I70493, I70499, I70501, I70502, I70503, I70509, I70511, I70512, I70513, I70519, I70521, I70522, I70523, I70529, I70531, I70532, I70533, I70534, I70535, I70538, I70539, I70541, I70542, I70543, I70544, I70545, I70548, I70549, I70561, I70562, I70563, I70569, I70591, I70592, I70593, I70599, I70601, I70602, I70603, I70609, I70611, I70612, I70613, I70619, I70621, I70622, I70623, I70629, I70631, I70632, I70633, I70634, I70635, I70638, I70639, I70641, I70642, I70643, I70644, I70645, I70648, I70649, I70661, I70662, I70663, I70669, I70691, I70692, I70693, I70699, I70701, I70702, I70703, I70709, I70711, I70712, I70713, I70719, I70721, I70722, I70723, I70729, I70731, I70732, I70733, I70734, I70735, I70738, I70739, I70741, I70742, I70743, I70744, I70745, I70748, I70749, I70761, I70762, I70763, I70769, I70791, I70792, I70793, I70799, I7092, I739, I771 CPT: 93668, 27290, 27295, 27590, 27592, 27594, 27596, 27598, 27880, 27881, 27882, 27884, 27886, 27888, 35302, 35303, 35304, 35305, 35306, 35331, 35351, 35355, 35361, 35363, 35371, 35372, 35452, 35454, 35456, 35459, 35470, 35472, 35473, 35474, 35481, 35482, 35483, 35485, 35491, 35492, 35493, 35495, 35521, 35533, 35537, 35538, 35539, 35540, 35548, 35549, 35551, 35556, 35558, 35563, 35565, 35566, 35571, 35583, 35585, 35587, 35621, 35623, 35637, 35638, 35646, 35647, 35654, 35656, 35661, 35663, 35665, 35666, 35671, 35876, 35879, 35881, 35883, 35884, 37220, 37221, 37222, 37223, 37224, 37225, 37226, 37227, 37228, 37229, 37230, 37231, 37232, 37233, 37234, 37235, 35381, 35541, 35546, 35582, 35651, 35641 ICD-9 Procedure: 38.18, 39.25, 39.29, 39.5, 39.9, 84.1, 84.12, 84.13, 84.14, 84.15, 84.16, 84.17, 84.18, 84.19, 84.3 ICD-10 Procedure: 041C***, 041D***, 041F***, 041H***, 041J***, 041K***, 041L***, 041M***, 041N***, 041U***, 0470***, 047C***, 047D***, 047E***, 047F***, 047H***, 047J***, 047K***, 047L***, 047M***, 047N***, 047P***, 047Q***, 047R***, 047S***, 047T***, 047U***, 047V***, 047W***, 047Y***, 04C0***, 04CC***, 04CD***, 04CE***, 04CF***, 04CH***, 04CJ***, 04CK***, 04CL***, 04CM***, 04CN***, 04CP***, 04CQ***, 04CR***, 04CS***, 04CT***, 04CU***, 04CV***, 04CW***, 04CY***, 0Y62***, 0Y63***, 0Y68***, 0Y6C***, 0Y6D***, 0Y6F***, 0Y6G***, 0Y6H***, 0Y6J***, 0Y6M***, 0Y6N*** | Median = 2.32 years | [
|
— | Hispanic or Latin American | — | AllofUs | — |
| PSS012027 | ICD10: I70.0, I70.00, I70.01, I70.2, I70.20, I70.21, I70.8, I70.80, I70.81, I70.9, I70.90, I70.91, I73.8, I73.9 ICD9: 4400, 4402, 4408, 4438, 4439, 9976 OPCS4: X09.1, X09.2, X09.3, X09.4, X09.5, X09.8, X09.9, X10.1, X10.8, X10.9, X12.1, X12.3, X12.4, L16.2, L16.3, L21.6, L25.1, L25.2, L26.1, L26.2, L51.1, L51.2, L51.3, L51.4, L51.6, L51.8, L52.1, L52.2, L54.1, L54.4, L54.8, L54.9, L59.1, L59.2, L59.3, L59.4, L59.5, L59.6, L59.7, L59.8, L59.9, L60.1, L60.2, L60.3, L60.4, L60.8, L60.9, L63.1, L63.5, L63.8, L63.9, L66.5, L66.7, L66.8, L66.9, L68.1, L68.2, L71.1, L71.5, L71.7, L71.8, L71.9 OPCS3: 873, 874, 881, 8841 | Median = 12.1 years | [
|
— | European | — | UKB | Independent individuals from training sample |
| PSS012049 | — | — | 2,647 individuals | — | European | — | MESA | — |
| PSS012049 | — | — | 1,834 individuals | — | African American or Afro-Caribbean | — | MESA | — |
| PSS012049 | — | — | 2,179 individuals | — | East Asian, Hispanic or Latin American | — | MESA | — |
| PSS012050 | — | — | 3,898 individuals | — | European | — | CARDIA, MESA | — |
| PSS012050 | — | — | 2,510 individuals | — | African American or Afro-Caribbean | — | CARDIA, MESA | — |
| PSS012050 | — | — | 2,179 individuals | — | East Asian, Hispanic or Latin American | — | MESA | — |
| PSS012052 | — | — | [
|
— | European | — | UKB | — |
| PSS000383 | Coronary artery disease was defined as myocardial infarction and its related sequelae (coronary angioplasty, and coronary artery bypass grafts). ICD-10 codes: I21, I22, I23, I24.1, I25.2 ICD-9 codes: 410, 411, 412, 429.79 OPCS-4 codes: K40.1-4, K41.1-4, K45.1-5, K49.1-2, K49.8-9, K50.2, K75.1-4, K54.8-9 UKBiobank field 20002 code: 1075 UKBiobank field 20004 codes: 1070, 1095 UKBiobank field 6150 code: 1 See eTable 1 for risk factor codings | Mean = 8.01 years Sd = 1.04 years |
[
|
Range = [40.0, 55.0] years | European, African unspecified, NR | 98.3% White European, 1.7% Black/Other | UKB | PCE Prospective Cohort (lipid-lowering treatment performed) |
| PSS000385 | Coronary artery disease was defined as myocardial infarction and its related sequelae (coronary angioplasty, and coronary artery bypass grafts). ICD-10 codes: I21, I22, I23, I24.1, I25.2 ICD-9 codes: 410, 411, 412, 429.79 OPCS-4 codes: K40.1-4, K41.1-4, K45.1-5, K49.1-2, K49.8-9, K50.2, K75.1-4, K54.8-9 UKBiobank field 20002 code: 1075 UKBiobank field 20004 codes: 1070, 1095 UKBiobank field 6150 code: 1 See eTable 1 for risk factor codings | Mean = 8.01 years Sd = 1.04 years |
[
|
Range = [40.0, 55.0] years | European, South Asian, African American or Afro-Caribbean, African unspecified, East Asian, Asian unspecified | 2,332 Africans, 145 Bangladeshi, 3,165 Carribeans, 1,136 Chinese, 3,790 Indians, 1,258 Other Asians, 1,182 Pakistani, 332,326 White Europeans and Unkown ancestry | UKB | QRISK3 Prospective Cohort/Testing Set (lipid-lowering treatment performed) |
| PSS012064 | The aortic stenosis PRS was tested for its association with aortic stenosis using safety data from the TIMI trials. Aortic stenosis was called for any adverse event referencing aortic stenosis, including new or worsening aortic stenosis. | — | [
|
— | European (European) |
— | ENGAGE_AF-TIMI_48, FOURIER, PEGASUS-TIMI_54, SAVOR-TIMI_53, SOLID-TIMI_52 | These data also include samples from DECLARE-TIMI 58 (not in the cohort refr. List) |
| PSS000387 | Coronary artery disease was defined as myocardial infarction and its related sequelae (coronary angioplasty, and coronary artery bypass grafts). ICD-10 codes: I21, I22, I23, I24.1, I25.2 ICD-9 codes: 410, 411, 412, 429.79 OPCS-4 codes: K40.1-4, K41.1-4, K45.1-5, K49.1-2, K49.8-9, K50.2, K75.1-4, K54.8-9 UKBiobank field 20002 code: 1075 UKBiobank field 20004 codes: 1070, 1095 UKBiobank field 6150 code: 1 See eTable 1 for risk factor codings | Mean = 8.01 years Sd = 1.04 years |
[
|
Range = [55.0, 69.0] years | European, African unspecified, NR | 98.3% White European, 1.7% Black/Other | UKB | PCE Prospective Cohort (lipid-lowering treatment performed) |
| PSS012037 | ICD10: I70.0, I70.00, I70.01, I70.2, I70.20, I70.21, I70.8, I70.80, I70.81, I70.9, I70.90, I70.91, I73.8, I73.9 ICD9: 4400, 4402, 4408, 4438, 4439, 9976 OPCS4: X09.1, X09.2, X09.3, X09.4, X09.5, X09.8, X09.9, X10.1, X10.8, X10.9, X12.1, X12.3, X12.4, L16.2, L16.3, L21.6, L25.1, L25.2, L26.1, L26.2, L51.1, L51.2, L51.3, L51.4, L51.6, L51.8, L52.1, L52.2, L54.1, L54.4, L54.8, L54.9, L59.1, L59.2, L59.3, L59.4, L59.5, L59.6, L59.7, L59.8, L59.9, L60.1, L60.2, L60.3, L60.4, L60.8, L60.9, L63.1, L63.5, L63.8, L63.9, L66.5, L66.7, L66.8, L66.9, L68.1, L68.2, L71.1, L71.5, L71.7, L71.8, L71.9 OPCS3: 873, 874, 881, 8841 | Median = 12.1 years | [
|
— | Greater Middle Eastern (Middle Eastern, North African or Persian) | — | UKB | — |
| PSS000389 | Coronary artery disease was defined as myocardial infarction and its related sequelae (coronary angioplasty, and coronary artery bypass grafts). ICD-10 codes: I21, I22, I23, I24.1, I25.2 ICD-9 codes: 410, 411, 412, 429.79 OPCS-4 codes: K40.1-4, K41.1-4, K45.1-5, K49.1-2, K49.8-9, K50.2, K75.1-4, K54.8-9 UKBiobank field 20002 code: 1075 UKBiobank field 20004 codes: 1070, 1095 UKBiobank field 6150 code: 1 See eTable 1 for risk factor codings | Mean = 8.01 years Sd = 1.04 years |
[
|
Range = [55.0, 69.0] years | European, South Asian, African American or Afro-Caribbean, African unspecified, East Asian, Asian unspecified | 2,332 Africans, 145 Bangladeshi, 3,165 Carribeans, 1,136 Chinese, 3,790 Indians, 1,258 Other Asians, 1,182 Pakistani, 332,326 White Europeans and Unkown ancestry | UKB | QRISK3 Prospective Cohort/Testing Set (lipid-lowering treatment performed) |
| PSS012066 | IAVGC phenotype definition (see detailed description in manuscript) | — | [
|
Mean = 62.1 years | European (European) |
— | UKB | — |
| PSS000391 | Coronary artery disease was defined as myocardial infarction and its related sequelae (coronary angioplasty, and coronary artery bypass grafts). ICD-10 codes: I21, I22, I23, I24.1, I25.2 ICD-9 codes: 410, 411, 412, 429.79 OPCS-4 codes: K40.1-4, K41.1-4, K45.1-5, K49.1-2, K49.8-9, K50.2, K75.1-4, K54.8-9 UKBiobank field 20002 code: 1075 UKBiobank field 20004 codes: 1070, 1095 UKBiobank field 6150 code: 1 See eTable 1 for risk factor codings | Mean = 8.01 years Sd = 1.04 years |
[ ,
100.0 % Male samples |
Mean = 55.79 years Sd = 8.35 years |
European, African unspecified, NR | 98.3% White European, 1.7% Black/Other | UKB | PCE Prospective Cohort (lipid-lowering treatment performed) |
| PSS012065 | IAVGC phenotype definition (see detailed description in manuscript) | — | [
|
— | European (European) |
— | UCLA | — |
| PSS000393 | Coronary artery disease was defined as myocardial infarction and its related sequelae (coronary angioplasty, and coronary artery bypass grafts). ICD-10 codes: I21, I22, I23, I24.1, I25.2 ICD-9 codes: 410, 411, 412, 429.79 OPCS-4 codes: K40.1-4, K41.1-4, K45.1-5, K49.1-2, K49.8-9, K50.2, K75.1-4, K54.8-9 UKBiobank field 20002 code: 1075 UKBiobank field 20004 codes: 1070, 1095 UKBiobank field 6150 code: 1 See eTable 1 for risk factor codings | Mean = 8.01 years Sd = 1.04 years |
[ ,
100.0 % Male samples |
Mean = 55.8 years Sd = 8.3 years |
European, South Asian, African American or Afro-Caribbean, African unspecified, East Asian, Asian unspecified | 2,332 Africans, 145 Bangladeshi, 3,165 Carribeans, 1,136 Chinese, 3,790 Indians, 1,258 Other Asians, 1,182 Pakistani, 332,326 White Europeans and Unkown ancestry | UKB | QRISK3 Prospective Cohort/Testing Set (lipid-lowering treatment performed) |
| PSS000395 | Coronary artery disease was defined as myocardial infarction and its related sequelae (coronary angioplasty, and coronary artery bypass grafts). ICD-10 codes: I21, I22, I23, I24.1, I25.2 ICD-9 codes: 410, 411, 412, 429.79 OPCS-4 codes: K40.1-4, K41.1-4, K45.1-5, K49.1-2, K49.8-9, K50.2, K75.1-4, K54.8-9 UKBiobank field 20002 code: 1075 UKBiobank field 20004 codes: 1070, 1095 UKBiobank field 6150 code: 1 See eTable 1 for risk factor codings | Mean = 8.01 years Sd = 1.04 years |
[ ,
0.0 % Male samples |
Mean = 56.0 years Sd = 8.01 years |
European, African unspecified, NR | 98.3% White European, 1.7% Black/Other | UKB | PCE Prospective Cohort (lipid-lowering treatment performed) |
| PSS000397 | Coronary artery disease was defined as myocardial infarction and its related sequelae (coronary angioplasty, and coronary artery bypass grafts). ICD-10 codes: I21, I22, I23, I24.1, I25.2 ICD-9 codes: 410, 411, 412, 429.79 OPCS-4 codes: K40.1-4, K41.1-4, K45.1-5, K49.1-2, K49.8-9, K50.2, K75.1-4, K54.8-9 UKBiobank field 20002 code: 1075 UKBiobank field 20004 codes: 1070, 1095 UKBiobank field 6150 code: 1 See eTable 1 for risk factor codings | Mean = 8.01 years Sd = 1.04 years |
[ ,
0.0 % Male samples |
Mean = 56.0 years Sd = 8.0 years |
European, South Asian, African American or Afro-Caribbean, African unspecified, East Asian, Asian unspecified | 2,332 Africans, 145 Bangladeshi, 3,165 Carribeans, 1,136 Chinese, 3,790 Indians, 1,258 Other Asians, 1,182 Pakistani, 332,326 White Europeans and Unkown ancestry | UKB | QRISK3 Prospective Cohort/Testing Set (lipid-lowering treatment performed) |
| PSS000399 | Coronary artery disease was defined as myocardial infarction and its related sequelae (coronary angioplasty, and coronary artery bypass grafts). ICD-10 codes: I21, I22, I23, I24.1, I25.2 ICD-9 codes: 410, 411, 412, 429.79 OPCS-4 codes: K40.1-4, K41.1-4, K45.1-5, K49.1-2, K49.8-9, K50.2, K75.1-4, K54.8-9 UKBiobank field 20002 code: 1075 UKBiobank field 20004 codes: 1070, 1095 UKBiobank field 6150 code: 1 See eTable 1 for risk factor codings | Mean = 8.01 years Sd = 1.04 years |
[ ,
41.8 % Male samples |
Mean = 55.9 years Range = [40.0, 69.0] years |
European, African unspecified, NR | 98.3% White European, 1.7% Black/Other | UKB | PCE Prospective Cohort (lipid-lowering treatment performed) |
| PSS000401 | Coronary artery disease was defined as myocardial infarction and its related sequelae (coronary angioplasty, and coronary artery bypass grafts). ICD-10 codes: I21, I22, I23, I24.1, I25.2 ICD-9 codes: 410, 411, 412, 429.79 OPCS-4 codes: K40.1-4, K41.1-4, K45.1-5, K49.1-2, K49.8-9, K50.2, K75.1-4, K54.8-9 UKBiobank field 20002 code: 1075 UKBiobank field 20004 codes: 1070, 1095 UKBiobank field 6150 code: 1 See eTable 1 for risk factor codings | Mean = 8.01 years Sd = 1.04 years |
[ ,
41.0 % Male samples |
Range = [40.0, 69.0] years | European, South Asian, African American or Afro-Caribbean, African unspecified, East Asian, Asian unspecified | 2,332 Africans, 145 Bangladeshi, 3,165 Carribeans, 1,136 Chinese, 3,790 Indians, 1,258 Other Asians, 1,182 Pakistani, 332,326 White Europeans and Unkown ancestry | UKB | QRISK3 Prospective Cohort/Testing Set (lipid-lowering treatment performed) |
| PSS012040 | ICD-9 Diagnosis: 4400, 44020, 44021, 44022, 44023, 44024, 44029, 44030, 44031, 44032, 4404, 4408, 4439, 4471 ICD-10 Diagnosis: I700, I70201, I70202, I70203, I70209, I70211, I70212, I70213, I70219, I70221, I70222, I70223, I7025, I70229, I70231, I70232, I70233, I70234, I70235, I70238, I70239, I70241, I70242, I70243, I70244, I70245, I70248, I70249, I70261, I70262, I70263, I70269, I70291, I70292, I70293, I70299, I70301, I70302, I70303, I70309, I70311, I70312, I70313, I70319, I70321, I70322, I70323, I70329, I70331, I70332, I70333, I70334, I70335, I70338, I70339, I70341, I70342, I70343, I70344, I70345, I70348, I70349, I70361, I70362, I70363, I70369, I70391, I70392, I70393, I70399, I70401, I70402, I70403, I70409, I70411, I70412, I70413, I70419, I70421, I70422, I70423, I70429, I70431, I70432, I70433, I70434, I70435, I70438, I70439, I70441, I70442, I70443, I70444, I70445, I70448, I70449, I70461, I70462, I70463, I70469, I70491, I70492, I70493, I70499, I70501, I70502, I70503, I70509, I70511, I70512, I70513, I70519, I70521, I70522, I70523, I70529, I70531, I70532, I70533, I70534, I70535, I70538, I70539, I70541, I70542, I70543, I70544, I70545, I70548, I70549, I70561, I70562, I70563, I70569, I70591, I70592, I70593, I70599, I70601, I70602, I70603, I70609, I70611, I70612, I70613, I70619, I70621, I70622, I70623, I70629, I70631, I70632, I70633, I70634, I70635, I70638, I70639, I70641, I70642, I70643, I70644, I70645, I70648, I70649, I70661, I70662, I70663, I70669, I70691, I70692, I70693, I70699, I70701, I70702, I70703, I70709, I70711, I70712, I70713, I70719, I70721, I70722, I70723, I70729, I70731, I70732, I70733, I70734, I70735, I70738, I70739, I70741, I70742, I70743, I70744, I70745, I70748, I70749, I70761, I70762, I70763, I70769, I70791, I70792, I70793, I70799, I7092, I739, I771 CPT: 93668, 27290, 27295, 27590, 27592, 27594, 27596, 27598, 27880, 27881, 27882, 27884, 27886, 27888, 35302, 35303, 35304, 35305, 35306, 35331, 35351, 35355, 35361, 35363, 35371, 35372, 35452, 35454, 35456, 35459, 35470, 35472, 35473, 35474, 35481, 35482, 35483, 35485, 35491, 35492, 35493, 35495, 35521, 35533, 35537, 35538, 35539, 35540, 35548, 35549, 35551, 35556, 35558, 35563, 35565, 35566, 35571, 35583, 35585, 35587, 35621, 35623, 35637, 35638, 35646, 35647, 35654, 35656, 35661, 35663, 35665, 35666, 35671, 35876, 35879, 35881, 35883, 35884, 37220, 37221, 37222, 37223, 37224, 37225, 37226, 37227, 37228, 37229, 37230, 37231, 37232, 37233, 37234, 37235, 35381, 35541, 35546, 35582, 35651, 35641 ICD-9 Procedure: 38.18, 39.25, 39.29, 39.5, 39.9, 84.1, 84.12, 84.13, 84.14, 84.15, 84.16, 84.17, 84.18, 84.19, 84.3 ICD-10 Procedure: 041C***, 041D***, 041F***, 041H***, 041J***, 041K***, 041L***, 041M***, 041N***, 041U***, 0470***, 047C***, 047D***, 047E***, 047F***, 047H***, 047J***, 047K***, 047L***, 047M***, 047N***, 047P***, 047Q***, 047R***, 047S***, 047T***, 047U***, 047V***, 047W***, 047Y***, 04C0***, 04CC***, 04CD***, 04CE***, 04CF***, 04CH***, 04CJ***, 04CK***, 04CL***, 04CM***, 04CN***, 04CP***, 04CQ***, 04CR***, 04CS***, 04CT***, 04CU***, 04CV***, 04CW***, 04CY***, 0Y62***, 0Y63***, 0Y68***, 0Y6C***, 0Y6D***, 0Y6F***, 0Y6G***, 0Y6H***, 0Y6J***, 0Y6M***, 0Y6N*** | Median = 2.32 years | [
|
— | European | — | AllofUs | — |
| PSS012068 | incident aortic stenosis (using ICD and CPT codes) | — | [
|
— | European | — | AllofUs | — |
| PSS008638 | — | — | 6,660 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008639 | — | — | 6,492 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008645 | — | — | 6,542 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS012083 | — | — | [
|
— | European (Finnish) |
— | FINRISK | — |
| PSS004711 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004712 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004713 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004714 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004715 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS012090 | Atrial fibrillation or flutter | — | 12,677 individuals | — | European | — | MHI | — |
| PSS012091 | Atrial fibrillation or flutter | — | 5,152 individuals, 0.0 % Male samples |
— | European | — | MHI | — |
| PSS012092 | Atrial fibrillation or flutter | — | 7,525 individuals | — | European | — | MHI | — |
| PSS010008 | PheCode 401.1 (http://phewascatalog.org/); Binary | — | [
|
— | European | — | MGI | — |
| PSS004731 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004732 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004733 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004734 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004735 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS004736 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004737 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS004738 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS004739 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004740 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS012103 | — | — | 277 individuals | — | African unspecified | — | REPRIEVE | — |
| PSS012103 | — | — | 379 individuals | — | European | — | REPRIEVE | — |
| PSS012103 | — | — | 6 individuals | — | East Asian | — | REPRIEVE | — |
| PSS012103 | — | — | 1 individuals | — | South Asian | — | REPRIEVE | — |
| PSS010030 | PheCode 401.1 (http://phewascatalog.org/); Binary | — | [
|
— | European | — | UKB | — |
| PSS001168 | Cases were individulas with prevalent CHD was obtained by self-report of a coronary bypass, myocardial infarction, or any of the following: coronary angioplasty, balloon angioplasty, atherectomy, stent, percutaneous transluminal coronary angioplasty, or percutaneous coronary intervention. CHD information was similarly obtained in LLFS and FamHS; however, CHD was only validated by hospital records in FamHS. Age-at-onset was defined as the individual's age at the first report of CHD. | — | [ ,
46.25 % Male samples |
Mean = 60.6 years | European | — | FamHS, LLFS | — |
| PSS012108 | — | — | 14,298 individuals, 76.3 % Male samples |
Mean = 62.85 years Sd = 8.82 years |
European | — | FOURIER | — |
| PSS012109 | — | — | 8,749 individuals, 67.8 % Male samples |
Mean = 66.1 years Sd = 7.77 years |
European | — | JUPITER | — |
| PSS012110 | — | — | 348,967 individuals, 42.4 % Male samples |
Mean = 56.36 years Sd = 8.05 years |
European | — | UKB | — |
| PSS000440 | Coronary heart disease was defined as Myocardial infarction|Myocardial infarction, strict|Complications following myocardial infarction|Prior myocardial infactrion|Angina pectoris|Other coronary atherosclerosis|Coronary artery bypass graft**|Coronary angioplasty**. ICD9/10 codes are listed in Table S9. National registries were used to assess disease incidence. Follow-up ended at first-ever diagnosis of the disease of interest, death or at the end of follow-up on December 31, 2018, whichever came first. | — | [ ,
47.3 % Male samples |
Mean (Age At Baseline) = 48.0 years | European (Finnish) |
— | FINRISK | FINRISK surveys from 1992, 1997, 2002 and 2007 |
| PSS000445 | Coronary heart disease was defined as Myocardial infarction|Myocardial infarction, strict|Complications following myocardial infarction|Prior myocardial infactrion|Angina pectoris|Other coronary atherosclerosis|Coronary artery bypass graft**|Coronary angioplasty**. ICD9/10 codes are listed in Table S9. National registries were used to assess disease incidence. Follow-up ended at first-ever diagnosis of the disease of interest, death or at the end of follow-up on December 31, 2018, whichever came first. | — | [ ,
43.7 % Male samples |
Mean (Age At Baseline) = 59.2 years Sd = 16.6 years |
European (Finnish) |
— | FinnGen | — |
| PSS000454 | Cause of death under ICD-10 code | Median = 7.7 years | [
|
— | East Asian (Japanese) |
— | BBJ | — |
| PSS000455 | Cause of death under ICD-10.CHF code | Median = 7.7 years | [
|
— | East Asian (Japanese) |
— | BBJ | — |
| PSS000456 | Cause of death under ICD-10.I codes | Median = 7.7 years | [
|
— | East Asian (Japanese) |
— | BBJ | — |
| PSS000457 | Cause of death under ICD-10.IHD code | Median = 7.7 years | [
|
— | East Asian (Japanese) |
— | BBJ | — |
| PSS000458 | Cause of death under ICD-10.J codes | Median = 7.7 years | [
|
— | East Asian (Japanese) |
— | BBJ | — |
| PSS000459 | CAD was defined as a composite of stable angina, unstable angina and myocardial infarction. The disease definitions are dependent on the physician's diagnosis based on general medical practices following relevant guidelines and according to the clinical symptoms and diagnotic tests. | — | [ ,
84.0 % Male samples |
— | East Asian (Japanese) |
— | BBJ | — |
| PSS010059 | — | Median = 2.3 years | [
|
— | European | — | FOURIER | — |
| PSS010060 | — | [ ,
41.0 % Male samples |
— | Not reported | — | MDC | — | |
| PSS000467 | Individuals were free of CAD at time of enrollment. CAD was defined as (1)fatal or nonfatal myocardial infarction: defined based on either International Classification of Diseases, Ninth Revision (ICD-9) code 410 or Tenth Revision (ICD-10) code I21, (2)coronary artery bypass graft surgery: defined as procedure codes 3065, 3066, 3068, 3080, 3092, 3105, 3127 or 3158 (the Op6 system) or procedure code FN (the KKA97 system), (3)percutaneous coronary intervention, (4)death due to CAD: defined as ICD-9 codes 412 and 414 or ICD-10 codes I22, I23 and I25. | Median = 21.3 years IQR = [16.1, 23.1] years |
[ ,
38.7 % Male samples |
Mean = 57.9 years | European, NR | European=28286, NR=270 | MDC | — |
| PSS000468 | Individuals were free of CAD at time of enrollment. CAD was defined as (1)fatal or nonfatal myocardial infarction: defined based on either International Classification of Diseases, Ninth Revision (ICD-9) code 410 or Tenth Revision (ICD-10) code I21, (2)coronary artery bypass graft surgery: defined as procedure codes 3065, 3066, 3068, 3080, 3092, 3105, 3127 or 3158 (the Op6 system) or procedure code FN (the KKA97 system), (3)percutaneous coronary intervention, (4)death due to CAD: defined as ICD-9 codes 412 and 414 or ICD-10 codes I22, I23 and I25. All individuals included had measured cholesterol concentrations. | Median = 23.2 years IQR = [17.6, 24.2] years |
[ ,
41.16 % Male samples |
— | European, NR | European=5640, NR=45 | MDC-CC | Cardiovascular Cohort |
| PSS000469 | Individuals were free of CAD at time of enrollment. CAD was defined based on hospitalisation with or death due to ICD-10 codes for acute or subsequent myocaridal infarction (I21, I22, I23, I24.1, and I25.2); or hospitalisation with ICD-9 codes for myocaridal. infarction (410, 411, and 412); or hospitalisation with OPCS-4 (Office of Population Censuses and Surveys) codes. for coronary artery bypass grafting (K40, K41, and K45) or coronary angioplasty with or without stenting (K49, K50.2, and K75). | Median = 8.1 years IQR = [7.4, 8.8] years |
[ ,
44.2 % Male samples |
Mean = 56.8 years | European, African unspecified, South Asian, East Asian, NR | European=304270, African unspecified=5760, South Asian=6832, East Asian (Chinese)=1117, NR=7024 | UKB | — |
| PSS011296 | 22,667 sibling pairs | — | 45,334 individuals | — | European | — | UKB | — |
| PSS008861 | — | — | 3,924 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008862 | — | — | 3,793 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008868 | — | — | 3,861 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS011312 | — | — | 22,701 individuals, 27.8 % Male samples |
— | European | — | ARIC, CHS, FHS, MESA, WHI | — |
| PSS011312 | — | — | 8,822 individuals, 31.9 % Male samples |
— | African American or Afro-Caribbean | — | 6 cohorts
|
— |
| PSS011312 | — | — | 6,718 individuals, 38.0 % Male samples |
— | Hispanic or Latin American | — | CHS, FHS, HCHS-SOL, MESA, WHI | — |
| PSS011312 | — | — | 794 individuals, 37.9 % Male samples |
— | Asian unspecified | — | MESA, WHI | — |
| PSS011313 | To define prevalent CAD, we selected participants with ICD-10 codes for MI (I21.X, I22.X, I23.X, I24.1, or I25.2), for other acute ischemic heart disease (I24.0, I24.8-9) and for atherosclerotic / chronic ischemic heart disease (I25.0-25.1, I25.5-25.9). Procedure codes for coronary artery bypass grafting (K40.1-40.4, K41.1-41.4, K45.1-45.5), for coronary angioplasty, with or without stenting (K49.1-49.2, K49.8-49.9, K50.2, K75.1-75.4, K75.8-75.9) were also added to the CAD definition. | Mean = 11.0 years | [ ,
46.0 % Male samples |
Mean = 56.93 years | European (White British) |
— | UKB | — |
| PSS011315 | The patients were hospitalized with a diagnosis of and treatment for an ST-segment elevation myocardial infarction or non-ST-segment elevation myocardial infarction; they were ≤50 years old and had undergone PCI at three hospitals. | Median = 43.0 months | [ ,
63.82 % Male samples |
— | East Asian (Korean) |
— | KGP | — |
| PSS011316 | Cases were individuals with repeat revascularizations. The patients were hospitalized with a diagnosis of and treatment for an ST-segment elevation myocardial infarction or non-ST-segment elevation myocardial infarction; they were ≤50 years old and had undergone PCI at three hospitals. | [
|
— | East Asian (Korean) |
— | KGP | — | |
| PSS011318 | — | — | 18,505 individuals, 81.9 % Male samples |
Mean = 55.4 years Sd = 11.8 years |
African American or Afro-Caribbean | — | MVP | — |
| PSS011319 | — | — | 6,785 individuals, 86.5 % Male samples |
Mean = 52.6 years Sd = 14.8 years |
Hispanic or Latin American | — | MVP | — |
| PSS011320 | — | — | 53,861 individuals, 88.2 % Male samples |
Mean = 59.3 years Sd = 13.8 years |
European | — | MVP | — |
| PSS000504 | Participants with no prior Coronary Heart Disease (CHD) at the time of enrollment were included within the present study. Incidental CHD was the primary end-points of the study. CHD was defined as fatal and non-fatal myocardial infarction, stroke and coronary death. | Median = 11.6 years Sd = 3.7 years |
[ ,
47.5 % Male samples |
Mean = 58.9 years Sd = 7.6 years |
European | — | HNR | — |
| PSS000505 | — | — | [
|
— | European | — | HNR | — |
| PSS000506 | Male participants with no prior Coronary Heart Disease (CHD) at the time of enrollment were included within the present study. Incidental CHD was the primary end-points of the study. CHD was defined as fatal and non-fatal myocardial infarction, stroke and coronary death. | — | [ ,
100.0 % Male samples |
— | European | — | HNR | — |
| PSS000507 | Participants with no prior Coronary Heart Disease (CHD) at the time of enrollment were included within the present study. Incidental CHD was the primary end-points of the study. CHD was defined as fatal and non-fatal myocardial infarction, stroke and coronary death. Cardiovascular risk factor data required included smoking status, current use of medication, body mass index, levels of serum triglycerides, low densitity lipoprotein-cholesterol and high densitity lipoprotein-cholesterol and diabetes defined as either of 4 criteria (1) participants reported a history of clinically diagnosed diabetes, (2) participants took glucose-lowering medications, (3) participants had fasting glucose levels of greater than 125mg/dL or (4) participants had non-fasting glucose levels of 200mg/dL or greater. | — | [
|
— | European | — | HNR | — |
| PSS000508 | — | — | [
|
— | European | — | HNR | — |
| PSS000509 | Participants with no prior Coronary Heart Disease (CHD) at the time of enrollment with coronary artery calcification>0 were included. Incidental CHD was the primary end-points of the study. CHD was defined as fatal and non-fatal myocardial infarction, stroke and coronary death. Cardiovascular risk factor data required included smoking status, current use of medication, body mass index, levels of serum triglycerides, low densitity lipoprotein-cholesterol and high densitity lipoprotein-cholesterol and diabetes defined as either of 4 criteria (1) participants reported a history of clinically diagnosed diabetes, (2) participants took glucose-lowering medications, (3) participants had fasting glucose levels of greater than 125mg/dL or (4) participants had non-fasting glucose levels of 200mg/dL or greater. | — | [
|
— | European | — | HNR | — |
| PSS000510 | Male participants with no prior Coronary Heart Disease (CHD) at the time of enrollment were included within the present study. Incidental CHD was the primary end-points of the study. CHD was defined as fatal and non-fatal myocardial infarction, stroke and coronary death. Cardiovascular risk factor data required included smoking status, current use of medication, body mass index, levels of serum triglycerides, low densitity lipoprotein-cholesterol and high densitity lipoprotein-cholesterol and diabetes defined as either of 4 criteria (1) participants reported a history of clinically diagnosed diabetes, (2) participants took glucose-lowering medications, (3) participants had fasting glucose levels of greater than 125mg/dL or (4) participants had non-fasting glucose levels of 200mg/dL or greater. | — | [ ,
100.0 % Male samples |
— | European | — | HNR | — |
| PSS000511 | Male participants with no prior Coronary Heart Disease (CHD) at the time of enrollment with coronary artery calcification>0 were included. Incidental CHD was the primary end-points of the study. CHD was defined as fatal and non-fatal myocardial infarction, stroke and coronary death. Cardiovascular risk factor data required included smoking status, current use of medication, body mass index, levels of serum triglycerides, low densitity lipoprotein-cholesterol and high densitity lipoprotein-cholesterol and diabetes defined as either of 4 criteria (1) participants reported a history of clinically diagnosed diabetes, (2) participants took glucose-lowering medications, (3) participants had fasting glucose levels of greater than 125mg/dL or (4) participants had non-fasting glucose levels of 200mg/dL or greater. | — | [ ,
100.0 % Male samples |
— | European | — | HNR | — |
| PSS010119 | Atherosclerotic cardiovacular disease (ASCVD), comprising non-fatal acute myocardial infarction, death of cardiovascular origin (comprising sudden death, ischemic death) and fatal and non-fatal ischaemic stroke (including transient ischaemic attack) using relevant medical records and ICD codes. All events were adjudicated by two expert. More details in PMID: 33838036 | Median = [10.7, 14.6] years | [ ,
45.0 % Male samples |
Mean = 52.3 years | European | — | CoLaus | right censored was death or latest evidence of good health, participant with statine therapy at baseline were excluded |
| PSS010120 | Atherosclerotic cardiovacular disease (ASCVD), comprising non-fatal acute myocardial infarction, death of cardiovascular origin (comprising sudden death, ischemic death) and fatal and non-fatal ischaemic stroke (including transient ischaemic attack) using relevant medical records and ICD codes. All events were adjudicated by two expert. More details in PMID: 33838036 | Median = [10.6, 14.6] years | [ ,
47.0 % Male samples |
Mean = 53.4 years | European | — | CoLaus | right censored was death or latest evidence of good health |
| PSS010121 | Coronary artery disease (CAD), ccomprising either non-fatal myocardial infarction, death from coronary heart disease or symptomatic stable angina followed by a revascularization procedure, either by percutaneous coronary intervention (PCI), or by coronary artery bypass grafting (CABG) using relevant medical records and ICD codes. All events were adjudicated by two expert. More details in PMID: 33838036 | Median = [10.7, 14.6] years | [ ,
45.0 % Male samples |
Mean = 52.3 years | European | — | CoLaus | right censored was death or latest evidence of good health, participant with statine therapy at baseline were excluded |
| PSS010122 | Coronary artery disease (CAD), ccomprising either non-fatal myocardial infarction, death from coronary heart disease or symptomatic stable angina followed by a revascularization procedure, either by percutaneous coronary intervention (PCI), or by coronary artery bypass grafting (CABG) using relevant medical records and ICD codes. All events were adjudicated by two expert. More details in PMID: 33838036 | Median = [10.6, 14.6] years | [ ,
47.0 % Male samples |
Mean = 53.4 years | European | — | CoLaus | right censored was death or latest evidence of good health |
| PSS000514 | ICD-9 diagnosis code for acute myocardial infarction, other acute/subacute forms of ischemic heart disease, old myocardial infarction, other forms of chronic ischemic heart disease, certain unspecified sequelae of myocardial infarction, coronary bypass, or coronary revascularization (36.1, 36.2, 410, 411, 412, 414, 429.7); ICD-10 diagnosis code for acute myocardial infarction, subsequent myocardial infarction, complications following myocardial infarction, other acute ischemic heart disease, or chronic ischemic heart disease (I21, I22, I23, I24, I25); CPT procedure code for coronary artery bypass, percutaneous transluminal angioplasty/revascularization/thrombectomy, or coronary thrombolysis (3351x, 3353x, 9292x, 9293x, 9294x, 9297x) | — | [ ,
42.7 % Male samples |
Mean = 57.0 years | European, Hispanic or Latin American, African unspecified | African unspecified=6979, European=10344, Hispanic or Latin American=7048 | BioMe | — |
| PSS000515 | ICD-9 diagnosis code for acute myocardial infarction, other acute/subacute forms of ischemic heart disease, old myocardial infarction, other forms of chronic ischemic heart disease, certain unspecified sequelae of myocardial infarction, coronary bypass, or coronary revascularization (36.1, 36.2, 410, 411, 412, 414, 429.7); ICD-10 diagnosis code for acute myocardial infarction, subsequent myocardial infarction, complications following myocardial infarction, other acute ischemic heart disease, or chronic ischemic heart disease (I21, I22, I23, I24, I25); CPT procedure code for coronary artery bypass, percutaneous transluminal angioplasty/revascularization/thrombectomy, or coronary thrombolysis (3351x, 3353x, 9292x, 9293x, 9294x, 9297x) | — | 6,979 individuals | — | African unspecified | — | BioMe | — |
| PSS000516 | ICD-9 diagnosis code for acute myocardial infarction, other acute/subacute forms of ischemic heart disease, old myocardial infarction, other forms of chronic ischemic heart disease, certain unspecified sequelae of myocardial infarction, coronary bypass, or coronary revascularization (36.1, 36.2, 410, 411, 412, 414, 429.7); ICD-10 diagnosis code for acute myocardial infarction, subsequent myocardial infarction, complications following myocardial infarction, other acute ischemic heart disease, or chronic ischemic heart disease (I21, I22, I23, I24, I25); CPT procedure code for coronary artery bypass, percutaneous transluminal angioplasty/revascularization/thrombectomy, or coronary thrombolysis (3351x, 3353x, 9292x, 9293x, 9294x, 9297x) | — | 10,344 individuals | — | European | — | BioMe | — |
| PSS000517 | ICD-9 diagnosis code for acute myocardial infarction, other acute/subacute forms of ischemic heart disease, old myocardial infarction, other forms of chronic ischemic heart disease, certain unspecified sequelae of myocardial infarction, coronary bypass, or coronary revascularization (36.1, 36.2, 410, 411, 412, 414, 429.7); ICD-10 diagnosis code for acute myocardial infarction, subsequent myocardial infarction, complications following myocardial infarction, other acute ischemic heart disease, or chronic ischemic heart disease (I21, I22, I23, I24, I25); CPT procedure code for coronary artery bypass, percutaneous transluminal angioplasty/revascularization/thrombectomy, or coronary thrombolysis (3351x, 3353x, 9292x, 9293x, 9294x, 9297x) | — | 7,048 individuals | — | Hispanic or Latin American | — | BioMe | — |
| PSS000518 | ICD-9 diagnosis code for acute myocardial infarction, other acute/subacute forms of ischemic heart disease, old myocardial infarction, other forms of chronic ischemic heart disease, certain unspecified sequelae of myocardial infarction, coronary bypass, or coronary revascularization (36.1, 36.2, 410, 411, 412, 414, 429.7); ICD-10 diagnosis code for acute myocardial infarction, subsequent myocardial infarction, complications following myocardial infarction, other acute ischemic heart disease, or chronic ischemic heart disease (I21, I22, I23, I24, I25); CPT procedure code for coronary artery bypass, percutaneous transluminal angioplasty/revascularization/thrombectomy, or coronary thrombolysis (3351x, 3353x, 9292x, 9293x, 9294x, 9297x) | — | [ ,
45.0 % Male samples |
Mean = 60.0 years | European, African unspecified, Hispanic or Latin American, East Asian, South Asian | African unspecified=867, East Asian=167, European=11725, Hispanic or Latin American=799, South Asian=109 | PHB | — |
| PSS000519 | ICD-9 diagnosis code for acute myocardial infarction, other acute/subacute forms of ischemic heart disease, old myocardial infarction, other forms of chronic ischemic heart disease, certain unspecified sequelae of myocardial infarction, coronary bypass, or coronary revascularization (36.1, 36.2, 410, 411, 412, 414, 429.7); ICD-10 diagnosis code for acute myocardial infarction, subsequent myocardial infarction, complications following myocardial infarction, other acute ischemic heart disease, or chronic ischemic heart disease (I21, I22, I23, I24, I25); CPT procedure code for coronary artery bypass, percutaneous transluminal angioplasty/revascularization/thrombectomy, or coronary thrombolysis (3351x, 3353x, 9292x, 9293x, 9294x, 9297x) | — | [ ,
59.0 % Male samples |
Mean = 68.0 years | European, African unspecified | African unspecified=1927, European=7143 | PMB | — |
| PSS000520 | ICD-9 diagnosis code for acute myocardial infarction, other acute/subacute forms of ischemic heart disease, old myocardial infarction, other forms of chronic ischemic heart disease, certain unspecified sequelae of myocardial infarction, coronary bypass, or coronary revascularization (36.1, 36.2, 410, 411, 412, 414, 429.7); ICD-10 diagnosis code for acute myocardial infarction, subsequent myocardial infarction, complications following myocardial infarction, other acute ischemic heart disease, or chronic ischemic heart disease (I21, I22, I23, I24, I25); CPT procedure code for coronary artery bypass, percutaneous transluminal angioplasty/revascularization/thrombectomy, or coronary thrombolysis (3351x, 3353x, 9292x, 9293x, 9294x, 9297x) | — | [ ,
46.52 % Male samples |
Mean = 59.6 years | European, African unspecified, Hispanic or Latin American, East Asian, South Asian | African unspecified=9773, East Asian=167, European=29212, Hispanic or Latin America=7847, South Asian=109 | BioMe, PHB, PMB | — |
| PSS011339 | — | — | [ ,
46.0 % Male samples |
— | European (White British) |
— | UKB | — |
| PSS010126 | — | — | [
|
— | European (U.K.) |
— | UKB | — |
| PSS012292 | Balanced case/control cohort: cases from UK Biobank hospital/EHR & self-report; equal number of super-controls (no cardiac/metabolic disease) matched on age and sex. | — | 10,135 individuals | — | European | — | UKB | — |
| PSS012293 | Balanced case/control cohort: cases from UK Biobank hospital/EHR & self-report; equal number of super-controls (no cardiac/metabolic disease) matched on age and sex. | — | 12,832 individuals | — | European | — | UKB | — |
| PSS012294 | Balanced case/control cohort: cases from UK Biobank hospital/EHR & self-report; equal number of super-controls (no cardiac/metabolic disease) matched on age and sex. | — | 27,939 individuals | — | European | — | UKB | — |
| PSS010137 | Incident MI was defined by the general International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10), code I21 and its subcodes I210-I214 and I219. | — | 330,201 individuals, 43.0 % Male samples |
Median = 57.0 years | European | — | UKB | — |
| PSS011357 | — | — | 14,298 individuals | — | European | — | FOURIER | — |
| PSS012311 | — | — | [ ,
40.3 % Male samples |
Mean = 64.0 years Sd = 8.6 years |
European | — | NR | — |
| PSS012312 | — | — | 31,118 individuals | — | European | — | 14 cohorts
|
— |
| PSS012312 | — | — | 11,124 individuals | — | African American or Afro-Caribbean | — | 8 cohorts
|
— |
| PSS012312 | — | — | 4,325 individuals | — | Hispanic or Latin American | — | BioMe, MESA, WHI | — |
| PSS012312 | — | — | 2,663 individuals | — | East Asian | — | KoGES, MESA, WHI | — |
| PSS012313 | — | Median = 20.3 years Range = [19.4, 21.5] years |
[ ,
33.0 % Male samples |
Mean = 51.2 years Sd = 11.8 years |
Hispanic or Latin American (Mexican) |
— | MCPS | — |
| PSS012314 | — | — | 43,338 individuals, 100.0 % Male samples |
Mean = 52.0 years Sd = 12.1 years |
Hispanic or Latin American (Mexican) |
— | MCPS | — |
| PSS012315 | — | — | 89,869 individuals, 0.0 % Male samples |
Mean = 50.8 years Sd = 11.7 years |
Hispanic or Latin American (Mexican) |
— | MCPS | — |
| PSS011364 | — | — | 56,192 individuals | — | European | — | UKB | — |
| PSS010158 | — | — | [
|
— | African American or Afro-Caribbean | — | MVP | — |
| PSS010159 | — | — | [
|
— | Hispanic or Latin American | — | MVP | — |
| PSS010160 | — | — | [
|
— | African American or Afro-Caribbean | — | MVP | — |
| PSS010161 | — | — | [
|
— | Hispanic or Latin American | — | MVP | — |
| PSS010162 | — | — | [
|
— | European | — | MVP | — |
| PSS010163 | — | — | [
|
— | European | — | MVP | — |
| PSS011378 | — | — | 5,740 individuals, 46.0 % Male samples |
Median = 52.0 years IQR = [48.0, 56.0] years |
European | — | ARIC | — |
| PSS011379 | — | — | 2,154 individuals, 45.0 % Male samples |
Median = 43.0 years IQR = [41.0, 45.0] years |
European | — | FOS | — |
| PSS011380 | — | — | 1,863 individuals, 46.0 % Male samples |
Median = 30.0 years IQR = [26.0, 34.0] years |
European | — | FOS | — |
| PSS011387 | — | — | [ ,
0.0 % Male samples |
— | European (Finnish) |
— | FinnGen | — |
| PSS011388 | — | — | [ ,
0.0 % Male samples |
— | European (Finnish) |
— | FinnGen | — |
| PSS011389 | — | Median = 8.2 years | 21,824 individuals, 43.4 % Male samples |
Median = 63.1 years | European | — | GERA | — |
| PSS011390 | CVD ICD-10: I20-I25, I60-I64, G45 | — | 12,780 individuals, 0.0 % Male samples |
— | European | — | UKB | Mean age of full combined ancestry cohort = 58.8 years (sd = 7.1) |
| PSS011390 | CVD ICD-10: I20-I25, I60-I64, G45 | — | 568 individuals, 0.0 % Male samples |
— | Not reported | — | UKB | Mean age of full combined ancestry cohort = 58.8 years (sd = 7.1) |
| PSS009084 | — | — | 4,136 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS009085 | — | — | 4,021 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS009091 | — | — | 4,042 individuals | — | European | Poland (NE Europe) | UKB | — |