Trait: vascular disease

Experimental Factor Ontology (EFO) Information
Identifier EFO_0004264
Description A general term used to describe any disease affecting blood vessels]. It includes vascular abnormalities caused by degenerative, metabolic and inflammatory conditions, embolic diseases, coagulative disorders, and functional disorders such as posteri or reversible encephalopathy syndrome.
Trait category
Cardiovascular disease
Synonyms 9 synonyms
  • disease of vasculature
  • disease or disorder of vasculature
  • disorder of vasculature
  • vascular diseases
  • vascular disorder
  • vascular tissue disease
  • vasculature disease
  • vasculature disease or disorder
  • vasculopathy
Mapped terms 14 mapped terms
  • DOID:178
  • ICD10:I77
  • ICD10:I78
  • ICD10:I87
  • ICD10:K55
  • ICD10CM:I00-I99
  • ICD10CM:I70-I79
  • ICD9:442.9
  • MESH:D014652
  • MONDO:0005385
  • MeSH:D014652
  • NCIT:C35117
  • SCTID:27550009
  • UMLS:C0042373
Child trait(s) 22 child traits

Associated Polygenic Score(s)

Filter PGS by Participant Ancestry
Individuals included in:
G - Source of Variant Associations (GWAS)
D - Score Development/Training
E - PGS Evaluation
List of ancestries includes:
Display options:
Ancestry legend
Multi-ancestry (including European)
Multi-ancestry (excluding European)
African
East Asian
South Asian
Additional Asian Ancestries
European
Greater Middle Eastern
Hispanic or Latin American
Additional Diverse Ancestries
Not Reported
Note: This table shows all PGS for "vascular disease" and any child terms of this trait in the EFO hierarchy by default.
Polygenic Score ID & Name PGS Publication ID (PGP) Reported Trait Mapped Trait(s) (Ontology) Number of Variants Ancestry distribution Scoring File (FTP Link)
PGS000010
(GRS27)
PGP000003 |
Mega JL et al. Lancet (2015)
Coronary heart disease coronary artery disease 27
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000010/ScoringFiles/PGS000010.txt.gz
PGS000011
(GRS50)
PGP000004 |
Tada H et al. Eur Heart J (2015)
Coronary artery disease coronary artery disease 50
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000011/ScoringFiles/PGS000011.txt.gz
PGS000012
(GRS49K)
PGP000005 |
Abraham G et al. Eur Heart J (2016)
Coronary artery disease coronary artery disease 49,310
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000012/ScoringFiles/PGS000012.txt.gz
PGS000013
(GPS_CAD)
PGP000006 |
Khera AV et al. Nat Genet (2018)
Coronary artery disease coronary artery disease 6,630,150
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000013/ScoringFiles/PGS000013.txt.gz - Check Terms/Licenses
PGS000018
(metaGRS_CAD)
PGP000007 |
Inouye M et al. J Am Coll Cardiol (2018)
Coronary artery disease coronary artery disease 1,745,179
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000018/ScoringFiles/PGS000018.txt.gz
PGS000019
(GRS_CAD)
PGP000009 |
Paquette M et al. J Clin Lipidol (2017)
Coronary artery disease coronary artery disease 192
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000019/ScoringFiles/PGS000019.txt.gz
PGS000038
(PRS90)
PGP000026 |
Rutten-Jacobs LC et al. BMJ (2018)
Stroke stroke 90
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000038/ScoringFiles/PGS000038.txt.gz
PGS000039
(metaGRS_ischaemicstroke)
PGP000027 |
Abraham G et al. Nat Commun (2019)
Ischemic stroke stroke,
Ischemic stroke
3,225,583
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000039/ScoringFiles/PGS000039.txt.gz
PGS000043
(PRS_VTE)
PGP000030 |
Klarin D et al. Nat Genet (2019)
Venous thromboembolism venous thromboembolism 297
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000043/ScoringFiles/PGS000043.txt.gz
PGS000057
(CHD57)
PGP000042 |
Natarajan P et al. Circulation (2017)
Coronary heart disease coronary artery disease 57
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000057/ScoringFiles/PGS000057.txt.gz
PGS000058
(CAD_GRS_204)
PGP000043 |
Morieri ML et al. Diabetes Care (2018)
Coronary artery disease coronary artery disease 204
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000058/ScoringFiles/PGS000058.txt.gz
PGS000059
(CHD46)
PGP000044 |
Hajek C et al. Circ Genom Precis Med (2018)
Coronary heart disease coronary artery disease 46
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000059/ScoringFiles/PGS000059.txt.gz
PGS000116
(CAD_EJ2020)
PGP000054 |
Elliott J et al. JAMA (2020)
Coronary artery disease coronary artery disease 40,079
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000116/ScoringFiles/PGS000116.txt.gz - Check Terms/Licenses
PGS000200
(GRS28)
PGP000082 |
Tikkanen E et al. Arterioscler Thromb Vasc Biol (2013)
Coronary heart disease coronary artery disease 28
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000200/ScoringFiles/PGS000200.txt.gz
PGS000296
(GPS_CAD_SA)
PGP000090 |
Wang M et al. J Am Coll Cardiol (2020)
Coronary artery disease coronary artery disease 6,630,150
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000296/ScoringFiles/PGS000296.txt.gz - Check Terms/Licenses
PGS000329
(PRS_CHD)
PGP000100 |
Mars N et al. Nat Med (2020)
Coronary heart disease coronary artery disease 6,423,165
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000329/ScoringFiles/PGS000329.txt.gz
PGS000337
(MetaPRS_CAD)
PGP000104 |
Koyama S et al. Nat Genet (2020)
Coronary artery disease coronary artery disease 75,028
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000337/ScoringFiles/PGS000337.txt.gz - Check Terms/Licenses
PGS000349
(PRS70_CAD)
PGP000114 |
Pechlivanis S et al. BMC Med Genet (2020)
Coronary artery disease coronary artery disease 70
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000349/ScoringFiles/PGS000349.txt.gz
PGS000665
(GRS_32)
PGP000125 |
Marston NA et al. Circulation (2020)
Ischemic stroke stroke,
Ischemic stroke
32
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000665/ScoringFiles/PGS000665.txt.gz
PGS000706
(HC215)
PGP000128 |
Sinnott-Armstrong N et al. Nat Genet (2021)
Hypertension hypertension 186,726
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000706/ScoringFiles/PGS000706.txt.gz - Check Terms/Licenses
PGS000746
(PRS_UKB)
PGP000152 |
Gola D et al. Circ Genom Precis Med (2020)
Coronary artery disease coronary artery disease 1,940
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000746/ScoringFiles/PGS000746.txt.gz
PGS000747
(PRS_EB)
PGP000152 |
Gola D et al. Circ Genom Precis Med (2020)
Coronary artery disease coronary artery disease 375,822
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000747/ScoringFiles/PGS000747.txt.gz
PGS000748
(PRS_DE)
PGP000152 |
Gola D et al. Circ Genom Precis Med (2020)
Coronary artery disease coronary artery disease 3,423,987
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000748/ScoringFiles/PGS000748.txt.gz
PGS000749
(PRS_COMBINED)
PGP000152 |
Gola D et al. Circ Genom Precis Med (2020)
Coronary artery disease coronary artery disease 1,056,021
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000749/ScoringFiles/PGS000749.txt.gz
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 disease 157
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000798/ScoringFiles/PGS000798.txt.gz
PGS000818
(GRS_Metabo)
PGP000202 |
Bauer A et al. Genet Epidemiol (2021)
Coronary heart disease coronary artery disease 138
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000818/ScoringFiles/PGS000818.txt.gz
PGS000819
(PRS_DR)
PGP000203 |
Forrest IS et al. Hum Mol Genet (2021)
Diabetic retinopathy diabetic retinopathy 3,537,914
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000819/ScoringFiles/PGS000819.txt.gz
PGS000862
(DR)
PGP000211 |
Aly DM et al. Nat Genet (2021)
Diabetic Retinopathy diabetic retinopathy 30
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000862/ScoringFiles/PGS000862.txt.gz
PGS000899
(PRS176_CHD)
PGP000232 |
Feitosa MF et al. Circ Genom Precis Med (2021)
Coronary heart disease coronary artery disease 176
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000899/ScoringFiles/PGS000899.txt.gz
PGS000911
(PRS_IS)
PGP000239 |
O'Sullivan JW et al. Circ Genom Precis Med (2021)
Ischemic stroke stroke,
Ischemic stroke
530,933
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000911/ScoringFiles/PGS000911.txt.gz
PGS000930
(GBE_BIN_FC3006152)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Blood clot (diagnosed by doctor) thrombotic disease 118
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000930/ScoringFiles/PGS000930.txt.gz
PGS000931
(GBE_BIN_FC11006152)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Blood clot or deep vein thrombosis (diagnosed by doctor) deep vein thrombosis,
thrombotic disease
534
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000931/ScoringFiles/PGS000931.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
PGS000961
(GBE_HC987)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Phlebitis and thrombophlebitis (time-to-event) Phlebitis,
Thrombophlebitis
1,143
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000961/ScoringFiles/PGS000961.txt.gz
PGS000962
(GBE_HC942)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Chronic ischaemic heart disease (time-to-event) Myocardial Ischemia 2,168
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000962/ScoringFiles/PGS000962.txt.gz
PGS001024
(GBE_HC61)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Hemorrhoid hemorrhoid 786
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001024/ScoringFiles/PGS001024.txt.gz
PGS001025
(GBE_HC951)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Nonrheumatic aortic valve disorders (time-to-event) aortic valve disease 36
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001025/ScoringFiles/PGS001025.txt.gz
PGS001179
(GBE_HC711)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Vascular dementia (time-to-event) vascular dementia 7
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001179/ScoringFiles/PGS001179.txt.gz
PGS001277
(GBE_HC203)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
PE +/- DVT pulmonary embolism,
deep vein thrombosis
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 pulmonary embolism,
deep vein thrombosis
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 pulmonary embolism,
deep vein thrombosis
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
PGS001281
(GBE_HC86)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Migraine migraine disorder 25
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001281/ScoringFiles/PGS001281.txt.gz
PGS001282
(GBE_HC815)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Migraine (time-to-event) migraine disorder 329
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001282/ScoringFiles/PGS001282.txt.gz
PGS001320
(GBE_HC215)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Hypertension hypertension 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 disease 2,994,055
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001355/ScoringFiles/PGS001355.txt.gz
PGS001780
(CHD_PRSCS)
PGP000261 |
Tamlander M et al. Commun Biol (2022)
Coronary heart disease coronary artery disease 1,090,048
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001780/ScoringFiles/PGS001780.txt.gz
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
PGS001793
(1kgeur_gbmi_leaveUKBBout_Stroke_pst_eff_a1_b0.5_phiauto)
PGP000262 |
Wang Y et al. Cell Genom (2023)
Stroke stroke 910,099
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001793/ScoringFiles/PGS001793.txt.gz
PGS001796
(1kgeur_gbmi_leaveUKBBout_VTE_pst_eff_a1_b0.5_phiauto)
PGP000262 |
Wang Y et al. Cell Genom (2023)
Venous thromboembolism venous thromboembolism 910,337
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001796/ScoringFiles/PGS001796.txt.gz
PGS001798
(1kgeur_gbmi_Stroke_pst_eff_a1_b0.5_phiauto)
PGP000262 |
Wang Y et al. Cell Genom (2023)
Stroke stroke 884,168
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001798/ScoringFiles/PGS001798.txt.gz
PGS001819
(portability-PLR_250.7)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Diabetic retinopathy diabetic retinopathy 249
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001819/ScoringFiles/PGS001819.txt.gz
PGS001838
(portability-PLR_401)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Hypertension hypertension 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
PGS001843
(portability-PLR_443.9)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Peripheral vascular disease, unspecified peripheral vascular disease 242
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001843/ScoringFiles/PGS001843.txt.gz
PGS001844
(portability-PLR_451)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Phlebitis and thrombophlebitis Phlebitis,
Thrombophlebitis
431
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001844/ScoringFiles/PGS001844.txt.gz
PGS001846
(portability-PLR_455)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Hemorrhoids hemorrhoid 5,434
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001846/ScoringFiles/PGS001846.txt.gz
PGS001847
(portability-PLR_459.9)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Circulatory disease NEC vascular disease 594
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001847/ScoringFiles/PGS001847.txt.gz
PGS002027
(portability-ldpred2_250.7)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Diabetic retinopathy diabetic retinopathy 389,029
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002027/ScoringFiles/PGS002027.txt.gz
PGS002047
(portability-ldpred2_401)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Hypertension hypertension 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
PGS002052
(portability-ldpred2_433.1)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Occlusion and stenosis of precerebral arteries occlusion precerebral artery 490,459
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002052/ScoringFiles/PGS002052.txt.gz
PGS002053
(portability-ldpred2_433)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Cerebrovascular disease cerebrovascular disorder 599,726
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002053/ScoringFiles/PGS002053.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
PGS002055
(portability-ldpred2_443.9)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Peripheral vascular disease, unspecified peripheral vascular disease 599,514
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002055/ScoringFiles/PGS002055.txt.gz
PGS002056
(portability-ldpred2_451)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Phlebitis and thrombophlebitis Phlebitis,
Thrombophlebitis
114,679
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002056/ScoringFiles/PGS002056.txt.gz
PGS002058
(portability-ldpred2_455)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Hemorrhoids hemorrhoid 780,418
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002058/ScoringFiles/PGS002058.txt.gz
PGS002059
(portability-ldpred2_459.9)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Circulatory disease NEC vascular disease 604,572
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002059/ScoringFiles/PGS002059.txt.gz
PGS002235
(elasticnet_VTE)
PGP000267 |
Kolin DA et al. Sci Rep (2021)
Venous thromboembolism venous thromboembolism 36
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002235/ScoringFiles/PGS002235.txt.gz
PGS002244
(ldpred_cad)
PGP000271 |
Mars N et al. Cell Genom (2022)
Coronary artery disease coronary artery disease 6,576,338
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002244/ScoringFiles/PGS002244.txt.gz
PGS002259
(metaPRS_Stroke)
PGP000285 |
Lu X et al. Neurology (2021)
Stroke stroke 534
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002259/ScoringFiles/PGS002259.txt.gz
PGS002262
(metaPRS_CAD)
PGP000289 |
Lu X et al. Eur Heart J (2022)
Coronary artery disease coronary artery disease 540
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002262/ScoringFiles/PGS002262.txt.gz
PGS002296
(PRS2166_HT)
PGP000326 |
Maj C et al. Front Cardiovasc Med (2022)
Hypertension hypertension 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 hypertension 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 hypertension 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 hypertension 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 hypertension 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 hypertension 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 hypertension 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 hypertension 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 hypertension 973,782
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002701/ScoringFiles/PGS002701.txt.gz
PGS002724
(GIGASTROKE_iPGS_EUR)
PGP000333 |
Mishra A et al. Nature (2022)
Ischemic stroke stroke,
Ischemic stroke
1,213,574
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002724/ScoringFiles/PGS002724.txt.gz
PGS002725
(GIGASTROKE_iPGS_EAS)
PGP000333 |
Mishra A et al. Nature (2022)
Ischemic stroke stroke,
Ischemic stroke
6,010,730
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002725/ScoringFiles/PGS002725.txt.gz
PGS002765
(SBP_prscs)
PGP000364 |
Mars N et al. Am J Hum Genet (2022)
Hypertension hypertension 1,077,894
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002765/ScoringFiles/PGS002765.txt.gz
PGS002770
(Stroke_prscs)
PGP000364 |
Mars N et al. Am J Hum Genet (2022)
Stroke stroke 1,088,719
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002770/ScoringFiles/PGS002770.txt.gz
PGS002772
(Venous_thromboembolism_prscs)
PGP000364 |
Mars N et al. Am J Hum Genet (2022)
Venous thromboembolism venous thromboembolism 1,052,790
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002772/ScoringFiles/PGS002772.txt.gz
PGS002775
(GTG_CAD_maxCT)
PGP000365 |
Wong CK et al. PLoS One (2022)
Incident coronary artery disease coronary artery disease 1,059
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002775/ScoringFiles/PGS002775.txt.gz - Check Terms/Licenses
PGS002776
(GTG_CAD_SCT)
PGP000365 |
Wong CK et al. PLoS One (2022)
Incident coronary artery disease coronary artery disease 390,782
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002776/ScoringFiles/PGS002776.txt.gz - Check Terms/Licenses
PGS002777
(GTG_Hypertension_maxCT)
PGP000365 |
Wong CK et al. PLoS One (2022)
Incident hypertension hypertension 61,669
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002777/ScoringFiles/PGS002777.txt.gz - Check Terms/Licenses
PGS002778
(GTG_Hypertension_SCT)
PGP000365 |
Wong CK et al. PLoS One (2022)
Incident hypertension hypertension 309,759
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002778/ScoringFiles/PGS002778.txt.gz - Check Terms/Licenses
PGS002794
(PRS_VTE)
PGP000375 |
Xie J et al. J Thromb Haemost (2022)
Venous thromboembolism venous thromboembolism 10
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002794/ScoringFiles/PGS002794.txt.gz
PGS002809
(GRS_CAD)
PGP000388 |
Ahmed R et al. Int J Cardiol Heart Vasc (2022)
Coronary artery disease coronary artery disease 205
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002809/ScoringFiles/PGS002809.txt.gz
PGS002994
(ExPRSweb_Hypertension_20002-1065_LASSOSUM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Hypertension hypertension 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 hypertension 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 hypertension 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 hypertension 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 hypertension 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 hypertension 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 hypertension 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 hypertension 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 hypertension 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 hypertension 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 hypertension 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 hypertension 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 hypertension 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 hypertension 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 hypertension 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 hypertension 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 hypertension 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 hypertension 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 hypertension 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 hypertension 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 hypertension 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 hypertension 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 hypertension 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 hypertension 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 hypertension 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 hypertension 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 hypertension 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 hypertension 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 hypertension 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 hypertension 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 hypertension 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 hypertension 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 hypertension 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 hypertension 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 hypertension 12,097
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003028/ScoringFiles/PGS003028.txt.gz
PGS003332
(PRS_VTE_EUR_GHOUSE)
PGP000398 |
Ghouse J et al. Nat Genet (2023)
Venous thromboembolism venous thromboembolism 1,092,045
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003332/ScoringFiles/PGS003332.txt.gz
PGS003355
(1MH_CAD_PRS_2015_Ldpred)
PGP000409 |
Aragam KG et al. Nat Genet (2022)
Coronary artery disease coronary artery disease 1,532,758
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003355/ScoringFiles/PGS003355.txt.gz
PGS003356
(1MH_CAD_PRS_2022_Ldpred)
PGP000409 |
Aragam KG et al. Nat Genet (2022)
Coronary artery disease coronary artery disease 2,324,683
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003356/ScoringFiles/PGS003356.txt.gz
PGS003406
(1_withUKB_sexAll_metaGRS.weights)
PGP000423 |
Bakker MK et al. Stroke (2023)
Intracranial aneurysm brain aneurysm 6,852,195
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003406/ScoringFiles/PGS003406.txt.gz
PGS003407
(2_withUKB_sexMale_metaGRS.weights)
PGP000423 |
Bakker MK et al. Stroke (2023)
Intracranial aneurysm brain aneurysm,
male
6,618,190
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003407/ScoringFiles/PGS003407.txt.gz
PGS003408
(3_withUKB_sexFemale_metaGRS.weights)
PGP000423 |
Bakker MK et al. Stroke (2023)
Intracranial aneurysm brain aneurysm,
female
6,671,269
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003408/ScoringFiles/PGS003408.txt.gz
PGS003409
(4_withUKB_sexAll_IAonly.weights)
PGP000423 |
Bakker MK et al. Stroke (2023)
Intracranial aneurysm brain aneurysm 6,852,195
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003409/ScoringFiles/PGS003409.txt.gz
PGS003410
(5_withUKB_sexMale_IAonly.weights)
PGP000423 |
Bakker MK et al. Stroke (2023)
Intracranial aneurysm brain aneurysm,
male
6,618,190
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003410/ScoringFiles/PGS003410.txt.gz
PGS003411
(6_withUKB_sexFemale_IAonly.weights)
PGP000423 |
Bakker MK et al. Stroke (2023)
Intracranial aneurysm brain aneurysm,
female
6,671,269
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003411/ScoringFiles/PGS003411.txt.gz
PGS003429
(AAA)
PGP000436 |
Kelemen M K et al. medRxiv (2023)
|Pre
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 disease 241
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003438/ScoringFiles/PGS003438.txt.gz
PGS003446
(TEM_CAD_PRS)
PGP000446 |
Tcheandjieu C et al. Nat Med (2022)
Coronary artery disease coronary artery disease 538,084
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003446/ScoringFiles/PGS003446.txt.gz
PGS003456
(PRS273_VTE)
PGP000449 |
Folsom AR et al. PLoS One (2023)
Venous thromboembolism venous thromboembolism 273
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003456/ScoringFiles/PGS003456.txt.gz
PGS003457
(GRS_ICH)
PGP000450 |
Mayerhofer E et al. Stroke (2023)
Intracerebral hemorrhage intracerebral hemorrhage 682,890
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003457/ScoringFiles/PGS003457.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 disease 1,296,172
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003725/ScoringFiles/PGS003725.txt.gz
PGS003726
(GPS_CADANC)
PGP000466 |
Patel AP et al. Nat Med (2023)
Coronary artery disease coronary artery disease 1,296,172
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003726/ScoringFiles/PGS003726.txt.gz
PGS003727
(GPS_CADEUR)
PGP000466 |
Patel AP et al. Nat Med (2023)
Coronary artery disease coronary artery disease 1,125,113
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003727/ScoringFiles/PGS003727.txt.gz
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 disease 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
PGS003984
(dbslmm.auto.GCST005838.Stroke)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Stroke stroke 1,121,845
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003984/ScoringFiles/PGS003984.txt.gz
PGS004000
(lassosum.auto.GCST005838.Stroke)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Stroke stroke 2,371
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004000/ScoringFiles/PGS004000.txt.gz
PGS004015
(lassosum.CV.GCST005838.Stroke)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Stroke stroke 65,138
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004015/ScoringFiles/PGS004015.txt.gz
PGS004026
(ldpred2.auto.GCST005838.Stroke)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Stroke stroke 1,011,468
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004026/ScoringFiles/PGS004026.txt.gz
PGS004041
(ldpred2.CV.GCST005838.Stroke)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Stroke stroke 1,011,468
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004041/ScoringFiles/PGS004041.txt.gz
PGS004054
(megaprs.auto.GCST005838.Stroke)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Stroke stroke 852,173
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004054/ScoringFiles/PGS004054.txt.gz
PGS004070
(megaprs.CV.GCST005838.Stroke)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Stroke stroke 852,173
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004070/ScoringFiles/PGS004070.txt.gz
PGS004084
(prscs.auto.GCST005838.Stroke)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Stroke stroke 1,091,747
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004084/ScoringFiles/PGS004084.txt.gz
PGS004098
(prscs.CV.GCST005838.Stroke)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Stroke stroke 1,091,747
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004098/ScoringFiles/PGS004098.txt.gz
PGS004108
(pt_clump.auto.GCST005838.Stroke)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Stroke stroke 13
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004108/ScoringFiles/PGS004108.txt.gz
PGS004124
(pt_clump_nested.CV.GCST005838.Stroke)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Stroke stroke 5,808
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004124/ScoringFiles/PGS004124.txt.gz
PGS004138
(sbayesr.auto.GCST005838.Stroke)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Stroke stroke 888,649
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004138/ScoringFiles/PGS004138.txt.gz
PGS004154
(UKBB_EnsPGS.GCST005838.Stroke)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Stroke stroke 1,116,976
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004154/ScoringFiles/PGS004154.txt.gz
PGS004191
(hyper_1)
PGP000520 |
Raben TG et al. Sci Rep (2023)
Hypertension hypertension 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 hypertension 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 hypertension 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 hypertension 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 hypertension 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 disease 3,892
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004196/ScoringFiles/PGS004196.txt.gz
PGS004197
(cad_2)
PGP000520 |
Raben TG et al. Sci Rep (2023)
Coronary artery disease coronary artery disease 11,490
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004197/ScoringFiles/PGS004197.txt.gz
PGS004198
(cad_3)
PGP000520 |
Raben TG et al. Sci Rep (2023)
Coronary artery disease coronary artery disease 5,723
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004198/ScoringFiles/PGS004198.txt.gz
PGS004199
(cad_4)
PGP000520 |
Raben TG et al. Sci Rep (2023)
Coronary artery disease coronary artery disease 6,085
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004199/ScoringFiles/PGS004199.txt.gz
PGS004200
(cad_5)
PGP000520 |
Raben TG et al. Sci Rep (2023)
Coronary artery disease coronary artery disease 8,361
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004200/ScoringFiles/PGS004200.txt.gz
PGS004234
(HTN_PAN-UKBB)
PGP000531 |
Kurniansyah N et al. Nat Commun (2022)
Hypertension hypertension 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 hypertension 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 disease 1,146,511
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004237/ScoringFiles/PGS004237.txt.gz
PGS004321
(PRS27_CAD)
PGP000554 |
Marston NA et al. Circulation (2019)
Coronary heart disease coronary artery disease 27
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004321/ScoringFiles/PGS004321.txt.gz
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 disease 164
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004595/ScoringFiles/PGS004595.txt.gz
PGS004596
(PRS64_CHD)
PGP000576 |
Peng H et al. Nutrients (2023)
Coronary heart disease coronary artery disease 64
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004596/ScoringFiles/PGS004596.txt.gz

Performance Metrics

Disclaimer: The performance metrics are displayed as reported by the source studies. It is important to note that metrics are not necessarily comparable with each other. For example, metrics depend on the sample characteristics (described by the PGS Catalog Sample Set [PSS] ID), phenotyping, and statistical modelling. Please refer to the source publication for additional guidance on performance.

PGS Performance
Metric ID (PPM)
Evaluated Score PGS Sample Set ID
(PSS)
Performance Source Trait PGS Effect Sizes
(per SD change)
Classification Metrics Other Metrics Covariates Included in the Model PGS Performance:
Other Relevant Information
PPM000014 PGS000010
(GRS27)
PSS000008|
European Ancestry|
42,998 individuals
PGP000003 |
Mega JL et al. Lancet (2015)
Reported Trait: Coronary heart disease HR: 1.21 [1.17, 1.26] age, sex, diabetes status, smoking, race, family history of coronary heart disease, HDL cholesterol, LDL cholesterol, and hypertension Meta-analysis of sub-cohort effect sizes
PPM000015 PGS000010
(GRS27)
PSS000009|
European Ancestry|
4,877 individuals
PGP000003 |
Mega JL et al. Lancet (2015)
Reported Trait: Coronary heart disease HR: 1.14 [1.02, 1.28] age, sex, diabetes status, smoking, race, family history of coronary heart disease, HDL cholesterol, LDL cholesterol, and hypertension Meta-analysis of sub-cohort effect sizes
PPM000017 PGS000010
(GRS27)
PSS000010|
European Ancestry|
23,595 individuals
PGP000004 |
Tada H et al. Eur Heart J (2015)
|Ext.
Reported Trait: Incident coronary heart disease HR: 1.2 [1.15, 1.25] age, sex, systolic blood pressure, hypertension treatment, smoking, apoB, apoA-I, prevalent diabetes
PPM000019 PGS000010
(GRS27)
PSS000012|
European Ancestry|
12,676 individuals
PGP000005 |
Abraham G et al. Eur Heart J (2016)
|Ext.
Reported Trait: Incident coronary artery disease HR: 1.21 [1.12, 1.3]
PPM000021 PGS000010
(GRS27)
PSS000011|
European Ancestry|
3,406 individuals
PGP000005 |
Abraham G et al. Eur Heart J (2016)
|Ext.
Reported Trait: Incident coronary artery disease HR: 1.2 [1.07, 1.26]
PPM012951 PGS000010
(GRS27)
PSS009630|
European Ancestry|
4,932 individuals
PGP000306 |
Thompson PL et al. BMC Cardiovasc Disord (2022)
|Ext.
Reported Trait: Reccurent cardiovascular event (coronary heart disease death, non-fatal myocardial infraction, unstable angina pectoris, coronary artery bypass graft and Percutaneous coronary intervention) C-index: 0.7 NRI (GRS-added vs. baseline model): 0.097 Hypertension, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, diabetes, sex, age, current smoking Basline model C-index = 0.69
PPM000016 PGS000011
(GRS50)
PSS000010|
European Ancestry|
23,595 individuals
PGP000004 |
Tada H et al. Eur Heart J (2015)
Reported Trait: Incident coronary heart disease HR: 1.23 [1.18, 1.28] age, sex, systolic blood pressure, hypertension treatment, smoking, apoB, apoA-I, prevalent diabetes
PPM000589 PGS000011
(GRS50)
PSS000334|
European Ancestry|
39,758 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Incident coronary heart disease HR: 1.2 [1.15, 1.25] C-index: 0.698 sex, eMERGE site, first five ancestry-specific principal components Age-as-time-scale Cox regression
PPM000595 PGS000011
(GRS50)
PSS000336|
Hispanic or Latin American Ancestry|
2,194 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Incident coronary heart disease HR: 1.13 [0.93, 1.36] C-index: 0.654 sex, eMERGE site, first five ancestry-specific principal components Age-as-time-scale Cox regression
PPM000592 PGS000011
(GRS50)
PSS000332|
African Ancestry|
7,070 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Incident coronary heart disease HR: 1.05 [0.94, 1.17] C-index: 0.649 sex, eMERGE site, first five ancestry-specific principal components Age-as-time-scale Cox regression
PPM000618 PGS000011
(GRS50)
PSS000332|
African Ancestry|
7,070 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Incident coronary heart disease HR: 1.05 [0.94, 1.18] C-index: 0.704 sex, eMERGE site, diabetes, hypertension, hyperlipidemia, statin use, first 5 ancestry-specific principal components Age-as-time-scale Cox regression
PPM000614 PGS000011
(GRS50)
PSS000334|
European Ancestry|
39,758 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Incident coronary heart disease HR: 1.2 [1.15, 1.25] C-index: 0.736 sex, eMERGE site, diabetes, hypertension, hyperlipidemia, statin use, first 5 ancestry-specific principal components Age-as-time-scale Cox regression
PPM000622 PGS000011
(GRS50)
PSS000336|
Hispanic or Latin American Ancestry|
2,194 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Incident coronary heart disease HR: 1.12 [0.93, 1.36] C-index: 0.708 sex, eMERGE site, diabetes, hypertension, hyperlipidemia, statin use, first 5 ancestry-specific principal components Age-as-time-scale Cox regression
PPM000496 PGS000011
(GRS50)
PSS000285|
European Ancestry|
22,389 individuals
PGP000076 |
Khera AV et al. N Engl J Med (2016)
|Ext.
Reported Trait: Incident coronary artery disease Hazard Ratio (HR; top 20% of score vs bottom 20%): 1.98 [1.76, 2.23] age, sex, self reported education level
PPM000495 PGS000011
(GRS50)
PSS000286|
European Ancestry|
21,222 individuals
PGP000076 |
Khera AV et al. N Engl J Med (2016)
|Ext.
Reported Trait: Incident coronary artery disease Hazard Ratio (HR; top 20% of score vs bottom 20%): 1.94 [1.58, 2.39] age, self reported education level, treatment (vitamin E vs aspirin), 5 genetic principal components
PPM000494 PGS000011
(GRS50)
PSS000283|
European Ancestry|
7,814 individuals
PGP000076 |
Khera AV et al. N Engl J Med (2016)
|Ext.
Reported Trait: Incident coronary artery disease Hazard Ratio (HR; top 20% of score vs bottom 20%): 1.75 [1.46, 2.1] age, sex, self reported education level, 5 genetic principal components
PPM000029 PGS000011
(GRS50)
PSS000018|
Multi-ancestry (including European)|
482,629 individuals
PGP000007 |
Inouye M et al. J Am Coll Cardiol (2018)
|Ext.
Reported Trait: Incident coronary artery disease HR: 1.263 [1.247, 1.28] sex, genetic PCs (1-10), genotyping array
PPM000497 PGS000011
(GRS50)
PSS000284|
European Ancestry|
4,260 individuals
PGP000076 |
Khera AV et al. N Engl J Med (2016)
|Ext.
Reported Trait: Coronary artery calcification Agatston score (mean, top 20% of GRS): 46.0 [9.0, 54.0]
Agatston score (mean, btttom 25% of GRS): 21.0 [18.0, 25.0]
PPM000604 PGS000011
(GRS50)
PSS000335|
Hispanic or Latin American Ancestry|
2,493 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Coronary heart disease (incident and prevalent) OR: 1.2 [1.06, 1.35] AUROC: 0.769 age at first EHR record, duration of EHR, sex, eMERGE site, first five ancestry-specific principal components
PPM000601 PGS000011
(GRS50)
PSS000331|
African Ancestry|
7,597 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Coronary heart disease (incident and prevalent) OR: 1.05 [0.98, 1.14] AUROC: 0.763 age at first EHR record, duration of EHR, sex, eMERGE site, first five ancestry-specific principal components
PPM000598 PGS000011
(GRS50)
PSS000333|
European Ancestry|
45,645 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Coronary heart disease (incident and prevalent) OR: 1.28 [1.25, 1.32] AUROC: 0.75 age at first EHR record, duration of EHR, sex, eMERGE site, first five ancestry-specific principal components
PPM000018 PGS000012
(GRS49K)
PSS000012|
European Ancestry|
12,676 individuals
PGP000005 |
Abraham G et al. Eur Heart J (2016)
Reported Trait: Incident coronary artery disease HR: 1.74 [1.61, 1.86]
OR: 1.74 [1.61, 1.89]
sex, sub-cohort, location (east/west), 5 genetic PCs Used only the 42,364 SNPs that were available in FINRISK
PPM000020 PGS000012
(GRS49K)
PSS000011|
European Ancestry|
3,406 individuals
PGP000005 |
Abraham G et al. Eur Heart J (2016)
Reported Trait: Incident coronary artery disease HR: 1.28 [1.18, 1.38]
OR: 1.28 [1.17, 1.41]
sex, sub-cohort, 5 genetic PCs Used only the 46,773 SNPs that were available in FHS
PPM000028 PGS000012
(GRS49K)
PSS000018|
Multi-ancestry (including European)|
482,629 individuals
PGP000007 |
Inouye M et al. J Am Coll Cardiol (2018)
|Ext.
Reported Trait: Incident coronary artery disease HR: 1.524 [1.498, 1.551] sex, genetic PCs (1-10), genotyping array Used GRS46K (excludes A/T and C/G SNPs, with performance similar to GRS49K)
PPM005158 PGS000012
(GRS49K)
PSS003596|
European Ancestry|
8,946 individuals
PGP000248 |
Liou L et al. Breast Cancer Res (2021)
|Ext.
Reported Trait: Incident coronary artery disease in individuals with breast cancer HR: 1.31 [1.19, 1.44] Age at diagnosis, genotype array, PCs(1-8), body mass index, smoking, sociodemographic variables, medical variables, oncotherapies
PPM001620 PGS000013
(GPS_CAD)
PSS000837|
European Ancestry|
4,847 individuals
PGP000129 |
Mosley JD et al. JAMA (2020)
|Ext.
Reported Trait: Incident coronary heart disease (10-year risk) C-index: 0.7 [0.677, 0.721] Δ C-index (PRS+covariates vs. covariates alone): -0.001 [-0.009, 0.006] Pooled cohort risk percentile, age, sex, PCs (1-5)
PPM001011 PGS000013
(GPS_CAD)
PSS000515|
African Ancestry|
6,979 individuals
PGP000116 |
Aragam KG et al. J Am Coll Cardiol (2020)
|Ext.
Reported Trait: Prevalent Coronary Artery Disease AUROC: 0.58 PCs (1-10) of ancestry
PPM001010 PGS000013
(GPS_CAD)
PSS000517|
Hispanic or Latin American Ancestry|
7,048 individuals
PGP000116 |
Aragam KG et al. J Am Coll Cardiol (2020)
|Ext.
Reported Trait: Prevalent Coronary Artery Disease AUROC: 0.63 PCs (1-10) of ancestry
PPM001009 PGS000013
(GPS_CAD)
PSS000516|
European Ancestry|
10,344 individuals
PGP000116 |
Aragam KG et al. J Am Coll Cardiol (2020)
|Ext.
Reported Trait: Prevalent Coronary Artery Disease AUROC: 0.53 PCs (1-10) of ancestry
PPM001008 PGS000013
(GPS_CAD)
PSS000515|
African Ancestry|
6,979 individuals
PGP000116 |
Aragam KG et al. J Am Coll Cardiol (2020)
|Ext.
Reported Trait: Prevalent Coronary Artery Disease OR: 1.29 [1.23, 1.34] age, sex, PCs (1-10) of ancestry
PPM001007 PGS000013
(GPS_CAD)
PSS000517|
Hispanic or Latin American Ancestry|
7,048 individuals
PGP000116 |
Aragam KG et al. J Am Coll Cardiol (2020)
|Ext.
Reported Trait: Prevalent Coronary Artery Disease OR: 1.5 [1.44, 1.57] age, sex, PCs (1-10) of ancestry
PPM001006 PGS000013
(GPS_CAD)
PSS000516|
European Ancestry|
10,344 individuals
PGP000116 |
Aragam KG et al. J Am Coll Cardiol (2020)
|Ext.
Reported Trait: Prevalent Coronary Artery Disease OR: 1.52 [1.46, 1.58] age, sex, PCs (1-10) of ancestry
PPM001005 PGS000013
(GPS_CAD)
PSS000514|
Multi-ancestry (including European)|
24,371 individuals
PGP000116 |
Aragam KG et al. J Am Coll Cardiol (2020)
|Ext.
Reported Trait: Prevalent Coronary Artery Disease AUROC: 0.61 PCs (1-10) of ancestry
PPM001004 PGS000013
(GPS_CAD)
PSS000519|
Multi-ancestry (including European)|
9,070 individuals
PGP000116 |
Aragam KG et al. J Am Coll Cardiol (2020)
|Ext.
Reported Trait: Prevalent Coronary Artery Disease AUROC: 0.6 PCs (1-10) of ancestry
PPM001003 PGS000013
(GPS_CAD)
PSS000518|
Multi-ancestry (including European)|
13,667 individuals
PGP000116 |
Aragam KG et al. J Am Coll Cardiol (2020)
|Ext.
Reported Trait: Prevalent Coronary Artery Disease AUROC: 0.59 PCs (1-10) of ancestry
PPM001002 PGS000013
(GPS_CAD)
PSS000514|
Multi-ancestry (including European)|
24,371 individuals
PGP000116 |
Aragam KG et al. J Am Coll Cardiol (2020)
|Ext.
Reported Trait: Prevalent Coronary Artery Disease OR: 1.42 [1.35, 1.48] age, sex, PCs (1-10) of ancestry
PPM001001 PGS000013
(GPS_CAD)
PSS000519|
Multi-ancestry (including European)|
9,070 individuals
PGP000116 |
Aragam KG et al. J Am Coll Cardiol (2020)
|Ext.
Reported Trait: Prevalent Coronary Artery Disease OR: 1.45 [1.38, 1.52] age, sex, PCs (1-10) of ancestry, genotyping array
PPM000383 PGS000013
(GPS_CAD)
PSS000219|
European Ancestry|
11,010 individuals
PGP000057 |
Homburger JR et al. Genome Med (2019)
|Ext.
Reported Trait: Coronary artery disease (personal history) OR: 1.589 [1.32, 1.92] AUROC: 0.86 age, sex
PPM001000 PGS000013
(GPS_CAD)
PSS000518|
Multi-ancestry (including European)|
13,667 individuals
PGP000116 |
Aragam KG et al. J Am Coll Cardiol (2020)
|Ext.
Reported Trait: Prevalent Coronary Artery Disease OR: 1.41 [1.34, 1.47] age, sex, PCs (1-10) of ancestry, genotyping array
PPM000999 PGS000013
(GPS_CAD)
PSS000520|
Multi-ancestry (including European)|
47,108 individuals
PGP000116 |
Aragam KG et al. J Am Coll Cardiol (2020)
|Ext.
Reported Trait: Prevalent Coronary Artery Disease OR: 1.42 [1.38, 1.46] age, sex, PCs (1-10) of ancestry, genotyping array
PPM000402 PGS000013
(GPS_CAD)
PSS000227|
Additional Asian Ancestries|
544 individuals
PGP000060 |
Khera AV et al. Circulation (2019)
|Ext.
Reported Trait: Early-onset mycardial infarction (age ≤55 years) OR: 2.16 [1.35, 1.59] Odds Ratio (OR; top 5% vs. rest): 3.33 [0.82, 13.51] 4 genetic PCs
PPM000596 PGS000013
(GPS_CAD)
PSS000336|
Hispanic or Latin American Ancestry|
2,194 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Incident coronary heart disease HR: 1.16 [0.96, 1.41] C-index: 0.659 sex, eMERGE site, first five ancestry-specific principal components Age-as-time-scale Cox regression
PPM000593 PGS000013
(GPS_CAD)
PSS000332|
African Ancestry|
7,070 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Incident coronary heart disease HR: 1.19 [1.07, 1.33] C-index: 0.656 sex, eMERGE site, first five ancestry-specific principal components Age-as-time-scale Cox regression
PPM000619 PGS000013
(GPS_CAD)
PSS000332|
African Ancestry|
7,070 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Incident coronary heart disease HR: 1.17 [1.04, 1.31] C-index: 0.712 sex, eMERGE site, diabetes, hypertension, hyperlipidemia, statin use, first 5 ancestry-specific principal components Age-as-time-scale Cox regression
PPM000615 PGS000013
(GPS_CAD)
PSS000334|
European Ancestry|
39,758 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Incident coronary heart disease HR: 1.47 [1.41, 1.54] C-index: 0.75 sex, eMERGE site, diabetes, hypertension, hyperlipidemia, statin use, first 5 ancestry-specific principal components Age-as-time-scale Cox regression
PPM000623 PGS000013
(GPS_CAD)
PSS000336|
Hispanic or Latin American Ancestry|
2,194 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Incident coronary heart disease HR: 1.14 [0.94, 1.39] C-index: 0.708 sex, eMERGE site, diabetes, hypertension, hyperlipidemia, statin use, first 5 ancestry-specific principal components Age-as-time-scale Cox regression
PPM000590 PGS000013
(GPS_CAD)
PSS000334|
European Ancestry|
39,758 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Incident coronary heart disease HR: 1.5 [1.43, 1.56] C-index: 0.719 sex, eMERGE site, first five ancestry-specific principal components Age-as-time-scale Cox regression
PPM000022 PGS000013
(GPS_CAD)
PSS000015|
European Ancestry|
288,978 individuals
PGP000006 |
Khera AV et al. Nat Genet (2018)
Reported Trait: Coronary artery disease AUROC: 0.81 [0.81, 0.81] Nagelkerke’s R2 (estimate of variance explained by the PGS after covariate adjustment): 0.04 age; sex; Ancestry PC 1-4; genotyping chip
PPM000030 PGS000013
(GPS_CAD)
PSS000021|
European Ancestry|
1,964 individuals
PGP000008 |
Wünnemann F et al. Circ Genom Precis Med (2019)
|Ext.
Reported Trait: Coronary artery disease (prevalent) OR: 1.64 [1.48, 1.81] AUROC: 0.72 [0.7, 0.74] age, sex, first four genetic PCs
PPM000031 PGS000013
(GPS_CAD)
PSS000022|
European Ancestry|
3,309 individuals
PGP000008 |
Wünnemann F et al. Circ Genom Precis Med (2019)
|Ext.
Reported Trait: Coronary artery disease (prevalent) OR: 1.55 [1.38, 1.73] AUROC: 0.89 [0.88, 0.91] age, sex, first four genetic PCs
PPM000032 PGS000013
(GPS_CAD)
PSS000019|
European Ancestry|
5,762 individuals
PGP000008 |
Wünnemann F et al. Circ Genom Precis Med (2019)
|Ext.
Reported Trait: Coronary artery disease (prevalent) OR: 1.69 [1.44, 1.99] AUROC: 0.84 [0.81, 0.87] age, sex, first four genetic PCs, cohort recruitment centre
PPM000033 PGS000013
(GPS_CAD)
PSS000020|
European Ancestry|
3,195 individuals
PGP000008 |
Wünnemann F et al. Circ Genom Precis Med (2019)
|Ext.
Reported Trait: Reccurent coronary artery disease events OR: 1.13 [1.06, 1.22] age, sex, first four genetic PCs
PPM000401 PGS000013
(GPS_CAD)
PSS000229|
Hispanic or Latin American Ancestry|
919 individuals
PGP000060 |
Khera AV et al. Circulation (2019)
|Ext.
Reported Trait: Early-onset mycardial infarction (age ≤55 years) OR: 1.56 [1.29, 1.88] Odds Ratio (OR; top 5% vs. rest): 3.38 [2.03, 5.64] 4 genetic PCs
PPM000400 PGS000013
(GPS_CAD)
PSS000228|
African Ancestry|
1,298 individuals
PGP000060 |
Khera AV et al. Circulation (2019)
|Ext.
Reported Trait: Early-onset mycardial infarction (age ≤55 years) OR: 1.46 [1.28, 1.66] Odds Ratio (OR; top 5% vs. rest): 2.02 [1.29, 3.16] 4 genetic PCs
PPM000399 PGS000013
(GPS_CAD)
PSS000230|
European Ancestry|
3,081 individuals
PGP000060 |
Khera AV et al. Circulation (2019)
|Ext.
Reported Trait: Early-onset mycardial infarction (age ≤55 years) OR: 2.06 [1.89, 2.25] Odds Ratio (OR; top 5% vs. rest): 5.09 [3.82, 6.78] 4 genetic PCs
PPM000387 PGS000013
(GPS_CAD)
PSS000219|
European Ancestry|
11,010 individuals
PGP000057 |
Homburger JR et al. Genome Med (2019)
|Ext.
Reported Trait: Coronary artery disease (personal history) AUROC: 0.6
PPM000933 PGS000013
(GPS_CAD)
PSS000469|
Multi-ancestry (including European)|
325,003 individuals
PGP000108 |
Hindy G et al. Arterioscler Thromb Vasc Biol (2020)
|Ext.
Reported Trait: Incident coronary artery disease C-index: 0.768 [0.76, 0.776] age, sex, PCs (1-10), Pooled Cohort Equations risk estimator
PPM000932 PGS000013
(GPS_CAD)
PSS000469|
Multi-ancestry (including European)|
325,003 individuals
PGP000108 |
Hindy G et al. Arterioscler Thromb Vasc Biol (2020)
|Ext.
Reported Trait: Incident coronary artery disease C-index: 0.756 [0.75, 0.762] age, sex, PCs (1-10)
PPM000929 PGS000013
(GPS_CAD)
PSS000468|
Multi-ancestry (including European)|
5,685 individuals
PGP000108 |
Hindy G et al. Arterioscler Thromb Vasc Biol (2020)
|Ext.
Reported Trait: Incident coronary artery disease C-index: 0.802 [0.763, 0.8841] age, sex, PCs (1-10), Pooled Cohort Equations risk estimator
PPM000928 PGS000013
(GPS_CAD)
PSS000468|
Multi-ancestry (including European)|
5,685 individuals
PGP000108 |
Hindy G et al. Arterioscler Thromb Vasc Biol (2020)
|Ext.
Reported Trait: Incident coronary artery disease C-index: 0.759 [0.724, 0.794] age, sex, PCs (1-10)
PPM000927 PGS000013
(GPS_CAD)
PSS000468|
Multi-ancestry (including European)|
5,685 individuals
PGP000108 |
Hindy G et al. Arterioscler Thromb Vasc Biol (2020)
|Ext.
Reported Trait: Incident coronary artery disease HR: 1.45 [1.34, 1.56] age, sex, clinical risk factors (systolic blood pressure, diastolic blood pressure, apolipoprotein B, apolipoprotein A1, total cholesterol, LDL cholesterol, HDL cholesterol, body mass index, current smoker, diabetes), family history of CAD
PPM000930 PGS000013
(GPS_CAD)
PSS000469|
Multi-ancestry (including European)|
325,003 individuals
PGP000108 |
Hindy G et al. Arterioscler Thromb Vasc Biol (2020)
|Ext.
Reported Trait: Incident coronary artery disease HR: 1.53 [1.49, 1.56] age, sex
PPM000926 PGS000013
(GPS_CAD)
PSS000467|
Multi-ancestry (including European)|
28,556 individuals
PGP000108 |
Hindy G et al. Arterioscler Thromb Vasc Biol (2020)
|Ext.
Reported Trait: Incident coronary artery disease HR: 1.45 [1.4, 1.49] age, sex
PPM000931 PGS000013
(GPS_CAD)
PSS000469|
Multi-ancestry (including European)|
325,003 individuals
PGP000108 |
Hindy G et al. Arterioscler Thromb Vasc Biol (2020)
|Ext.
Reported Trait: Incident coronary artery disease HR: 1.46 [1.42, 1.49] age, sex, clinical risk factors (systolic blood pressure, diastolic blood pressure, apolipoprotein B, apolipoprotein A1, total cholesterol, LDL cholesterol, HDL cholesterol, body mass index, current smoker, diabetes), family history of CAD
PPM002182 PGS000013
(GPS_CAD)
PSS001063|
European Ancestry|
2,909 individuals
PGP000202 |
Bauer A et al. Genet Epidemiol (2021)
|Ext.
Reported Trait: Incident coronary heart disease C-index: 0.573 [0.5254, 0.6212] Only 6,481,934 SNPs from PGS000013 were utilised. SNPs were not included due to imputation quality R^2 < 0.3
PPM000605 PGS000013
(GPS_CAD)
PSS000335|
Hispanic or Latin American Ancestry|
2,493 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Coronary heart disease (incident and prevalent) OR: 1.42 [1.25, 1.61] AUROC: 0.776 age at first EHR record, duration of EHR, sex, eMERGE site, first five ancestry-specific principal components
PPM000602 PGS000013
(GPS_CAD)
PSS000331|
African Ancestry|
7,597 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Coronary heart disease (incident and prevalent) OR: 1.3 [1.21, 1.41] AUROC: 0.771 age at first EHR record, duration of EHR, sex, eMERGE site, first five ancestry-specific principal components
PPM000599 PGS000013
(GPS_CAD)
PSS000333|
European Ancestry|
45,645 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Coronary heart disease (incident and prevalent) OR: 1.66 [1.62, 1.71] AUROC: 0.77 age at first EHR record, duration of EHR, sex, eMERGE site, first five ancestry-specific principal components
PPM001746 PGS000013
(GPS_CAD)
PSS000898|
African Ancestry|
16,755 individuals
PGP000143 |
Fahed AC et al. Circ Genom Precis Med (2020)
|Ext.
Reported Trait: Coronary artery disease OR: 1.25 [1.12, 1.4] PCs(1-4)
PPM001747 PGS000013
(GPS_CAD)
PSS000902|
South Asian Ancestry|
8,102 individuals
PGP000143 |
Fahed AC et al. Circ Genom Precis Med (2020)
|Ext.
Reported Trait: Coronary artery disease OR: 1.47 [1.36, 1.59] PCs(1-4)
PPM001749 PGS000013
(GPS_CAD)
PSS000901|
Hispanic or Latin American Ancestry|
9,085 individuals
PGP000143 |
Fahed AC et al. Circ Genom Precis Med (2020)
|Ext.
Reported Trait: Coronary artery disease OR: 1.52 [1.43, 1.62] PCs(1-4)
PPM000747 PGS000013
(GPS_CAD)
PSS000367|
South Asian Ancestry|
7,244 individuals
PGP000090 |
Wang M et al. J Am Coll Cardiol (2020)
|Ext.
Reported Trait: Coronary artery disease OR: 1.5302 AUROC: 0.8021 age, sex, top 5 genetic PCs
PPM000748 PGS000013
(GPS_CAD)
PSS000365|
South Asian Ancestry|
491 individuals
PGP000090 |
Wang M et al. J Am Coll Cardiol (2020)
|Ext.
Reported Trait: Myocardial infarction (first-ever) OR: 1.4605 AUROC: 0.6482 age, sex, top 5 genetic PCs
PPM000749 PGS000013
(GPS_CAD)
PSS000366|
South Asian Ancestry|
2,963 individuals
PGP000090 |
Wang M et al. J Am Coll Cardiol (2020)
|Ext.
Reported Trait: Coronary artery disease OR: 1.5793 AUROC: 0.7066 age, sex, top 5 genetic PCs
PPM001617 PGS000013
(GPS_CAD)
PSS000839|
European Ancestry|
4,847 individuals
PGP000129 |
Mosley JD et al. JAMA (2020)
|Ext.
Reported Trait: Prevalent and incident coronary heart disease OR: 1.89 [1.75, 2.03] Age, sex, PCs (1-5)
PPM001618 PGS000013
(GPS_CAD)
PSS000837|
European Ancestry|
4,847 individuals
PGP000129 |
Mosley JD et al. JAMA (2020)
|Ext.
Reported Trait: Incident coronary heart disease (10-year risk) HR: 1.24 [1.15, 1.34] C-index: 0.669 [0.644, 0.691] Age, sex, PCs (1-5)
PPM001619 PGS000013
(GPS_CAD)
PSS000838|
European Ancestry|
2,390 individuals
PGP000129 |
Mosley JD et al. JAMA (2020)
|Ext.
Reported Trait: Incident coronary heart disease (10-year risk) HR: 1.38 [1.21, 1.58] C-index: 0.672 [0.627, 0.705] Age, sex, PCs (1-5)
PPM001621 PGS000013
(GPS_CAD)
PSS000838|
European Ancestry|
2,390 individuals
PGP000129 |
Mosley JD et al. JAMA (2020)
|Ext.
Reported Trait: Incident coronary heart disease (10-year risk) C-index: 0.681 [0.637, 0.715] Δ C-index (PRS+covariates vs. covariates alone): 0.021 [-0.0004, 0.043] Pooled cohort risk percentile, age, sex, PCs (1-5)
PPM001622 PGS000013
(GPS_CAD)
PSS000837|
European Ancestry|
4,847 individuals
PGP000129 |
Mosley JD et al. JAMA (2020)
|Ext.
Reported Trait: Incident coronary heart disease (10-year risk) C-index: 0.549 [0.521, 0.571] PCs (1-5)
PPM001623 PGS000013
(GPS_CAD)
PSS000838|
European Ancestry|
2,390 individuals
PGP000129 |
Mosley JD et al. JAMA (2020)
|Ext.
Reported Trait: Incident coronary heart disease (10-year risk) C-index: 0.587 [0.532, 0.623] PCs (1-5)
PPM001745 PGS000013
(GPS_CAD)
PSS000900|
European Ancestry|
474,498 individuals
PGP000143 |
Fahed AC et al. Circ Genom Precis Med (2020)
|Ext.
Reported Trait: Coronary artery disease OR: 1.6 [1.44, 1.78] PCs(1-4)
PPM001748 PGS000013
(GPS_CAD)
PSS000899|
East Asian Ancestry|
3,988 individuals
PGP000143 |
Fahed AC et al. Circ Genom Precis Med (2020)
|Ext.
Reported Trait: Coronary artery disease OR: 1.66 [1.47, 1.86] PCs(1-4)
PPM001848 PGS000013
(GPS_CAD)
PSS000929|
European Ancestry|
5,581 individuals
PGP000152 |
Gola D et al. Circ Genom Precis Med (2020)
|Ext.
Reported Trait: Coronary artery disease AUROC: 0.6699 [0.6557, 0.684]
PPM001849 PGS000013
(GPS_CAD)
PSS000930|
European Ancestry|
27,048 individuals
PGP000152 |
Gola D et al. Circ Genom Precis Med (2020)
|Ext.
Reported Trait: Coronary artery disease AUROC: 0.5617 [0.5402, 0.5833]
PPM001850 PGS000013
(GPS_CAD)
PSS000931|
European Ancestry|
431,814 individuals
PGP000152 |
Gola D et al. Circ Genom Precis Med (2020)
|Ext.
Reported Trait: Coronary artery disease AUROC: 0.6374 [0.6335, 0.6412] May be an overlap between score development and testing samples
PPM002183 PGS000013
(GPS_CAD)
PSS001063|
European Ancestry|
2,909 individuals
PGP000202 |
Bauer A et al. Genet Epidemiol (2021)
|Ext.
Reported Trait: Incident coronary heart disease C-index: 0.7752 [0.7443, 0.8029] Age, sex, survey Only 6,481,934 SNPs from PGS000013 were utilised. SNPs were not included due to imputation quality R^2 < 0.3
PPM002184 PGS000013
(GPS_CAD)
PSS001063|
European Ancestry|
2,909 individuals
PGP000202 |
Bauer A et al. Genet Epidemiol (2021)
|Ext.
Reported Trait: Incident coronary heart disease C-index: 0.8012 [0.7775, 0.8353] Age, sex, survey, Framingham risk score (diabetes status, current and former smoking status, systolic blood pressure, antihypertensive medication, HDL cholesterol, total cholesterol) Only 6,481,934 SNPs from PGS000013 were utilised. SNPs were not included due to imputation quality R^2 < 0.3
PPM009241 PGS000013
(GPS_CAD)
PSS007665|
European Ancestry|
1,132 individuals
PGP000257 |
Wells QS et al. Circ Genom Precis Med (2021)
|Ext.
Reported Trait: Coronary artery calcium score > 20 OR: 1.74 [1.29, 2.36] AUROC: 0.794 [0.728, 0.84] Age, sex, PCs(1-5)
PPM009242 PGS000013
(GPS_CAD)
PSS007665|
European Ancestry|
1,132 individuals
PGP000257 |
Wells QS et al. Circ Genom Precis Med (2021)
|Ext.
Reported Trait: Coronary artery calcium score > 20 OR: 1.87 [1.41, 2.5]
PPM009243 PGS000013
(GPS_CAD)
PSS007665|
European Ancestry|
1,132 individuals
PGP000257 |
Wells QS et al. Circ Genom Precis Med (2021)
|Ext.
Reported Trait: Coronary artery calcium score > 20 AUROC: 0.864 [0.807, 0.904] C statistic change (vs. no PRS): 0.015 [0.004, 0.028]
Integrated discrimination improvement (vs. no PRS): 0.027 [-0.006, 0.054]
Age, sex, PCs(1-5), systolic blood pressure, total cholesterol, high density lipoprotein cholesterol, triglycerides, current smoker, waist circumference
PPM009244 PGS000013
(GPS_CAD)
PSS007666|
European Ancestry|
663 individuals
PGP000257 |
Wells QS et al. Circ Genom Precis Med (2021)
|Ext.
Reported Trait: Coronary artery calcium score > 300 OR: 1.9 [1.42, 2.54] AUROC: 0.804 [0.751, 0.845] Age, sex, PCs(1-5)
PPM009245 PGS000013
(GPS_CAD)
PSS007666|
European Ancestry|
663 individuals
PGP000257 |
Wells QS et al. Circ Genom Precis Med (2021)
|Ext.
Reported Trait: Coronary artery calcium score > 300 OR: 2.11 [1.57, 2.83]
PPM009246 PGS000013
(GPS_CAD)
PSS007666|
European Ancestry|
663 individuals
PGP000257 |
Wells QS et al. Circ Genom Precis Med (2021)
|Ext.
Reported Trait: Coronary artery calcium score > 300 AUROC: 0.855 [0.805, 0.887] C statistic change (vs. no PRS): 0.02 [0.001, 0.039]
Integrated discrimination improvement (vs. no PRS): 0.039 [0.0005, 0.072]
Age, sex, PCs(1-5), systolic blood pressure, total cholesterol, high density lipoprotein cholesterol, triglycerides, current smoker, body mass index
PPM012880 PGS000013
(GPS_CAD)
PSS009590|
Multi-ancestry (including European)|
5,152 individuals
PGP000290 |
Mordi IR et al. Diabetes Care (2022)
|Ext.
Reported Trait: Incident major adverse cardiovascular events in type 2 diabetes HR: 1.68 [1.49, 1.9] Age, sex, glycated hemoglobin, duration of diabetes, retinal risk score, and PCE
PPM012881 PGS000013
(GPS_CAD)
PSS009590|
Multi-ancestry (including European)|
5,152 individuals
PGP000290 |
Mordi IR et al. Diabetes Care (2022)
|Ext.
Reported Trait: Incident major adverse cardiovascular events in type 2 diabetes AUROC: 0.686 [0.667, 0.704] Retinal risk score, age, sex
PPM017189 PGS000013
(GPS_CAD)
PSS010161|
Hispanic or Latin American Ancestry|
30,648 individuals
PGP000446 |
Tcheandjieu C et al. Nat Med (2022)
|Ext.
Reported Trait: Acute myocardial infarction or revascularization OR: 1.52 [1.45, 1.59] age, sex, genotyping batch and top 10 genotype-based PCs
PPM017190 PGS000013
(GPS_CAD)
PSS010160|
African Ancestry|
76,709 individuals
PGP000446 |
Tcheandjieu C et al. Nat Med (2022)
|Ext.
Reported Trait: Acute myocardial infarction or revascularization OR: 1.17 [1.14, 1.21] age, sex, genotyping batch and top 10 genotype-based PCs
PPM017191 PGS000013
(GPS_CAD)
PSS010162|
European Ancestry|
292,438 individuals
PGP000446 |
Tcheandjieu C et al. Nat Med (2022)
|Ext.
Reported Trait: Coronary artery disease OR: 1.36 [1.35, 1.37] age, sex, genotyping batch and top 10 genotype-based PCs
PPM017192 PGS000013
(GPS_CAD)
PSS010161|
Hispanic or Latin American Ancestry|
30,648 individuals
PGP000446 |
Tcheandjieu C et al. Nat Med (2022)
|Ext.
Reported Trait: Coronary artery disease OR: 1.32 [1.28, 1.36] age, sex, genotyping batch and top 10 genotype-based PCs
PPM017193 PGS000013
(GPS_CAD)
PSS010160|
African Ancestry|
76,709 individuals
PGP000446 |
Tcheandjieu C et al. Nat Med (2022)
|Ext.
Reported Trait: Coronary artery disease OR: 1.1 [1.08, 1.12] age, sex, genotyping batch and top 10 genotype-based PCs
PPM017194 PGS000013
(GPS_CAD)
PSS010162|
European Ancestry|
292,438 individuals
PGP000446 |
Tcheandjieu C et al. Nat Med (2022)
|Ext.
Reported Trait: Acute myocardial infarction or revascularization in incident coronary artery disease OR: 1.46 [1.43, 1.49] age, sex, genotyping batch and top 10 genotype-based PCs
PPM017196 PGS000013
(GPS_CAD)
PSS010160|
African Ancestry|
76,709 individuals
PGP000446 |
Tcheandjieu C et al. Nat Med (2022)
|Ext.
Reported Trait: Acute myocardial infarction or revascularization in incident coronary artery disease OR: 1.15 [1.1, 1.2] age, sex, genotyping batch and top 10 genotype-based PCs
PPM017197 PGS000013
(GPS_CAD)
PSS010162|
European Ancestry|
292,438 individuals
PGP000446 |
Tcheandjieu C et al. Nat Med (2022)
|Ext.
Reported Trait: Incident coronary artery disease OR: 1.26 [1.24, 1.28] age, sex, genotyping batch and top 10 genotype-based PCs
PPM017198 PGS000013
(GPS_CAD)
PSS010161|
Hispanic or Latin American Ancestry|
30,648 individuals
PGP000446 |
Tcheandjieu C et al. Nat Med (2022)
|Ext.
Reported Trait: Incident coronary artery disease OR: 1.22 [1.15, 1.29] age, sex, genotyping batch and top 10 genotype-based PCs
PPM017199 PGS000013
(GPS_CAD)
PSS010160|
African Ancestry|
76,709 individuals
PGP000446 |
Tcheandjieu C et al. Nat Med (2022)
|Ext.
Reported Trait: Incident coronary artery disease OR: 1.1 [1.07, 1.14] age, sex, genotyping batch and top 10 genotype-based PCs
PPM014904 PGS000013
(GPS_CAD)
PSS009922|
European Ancestry|
2,119 individuals
PGP000353 |
Sapkota Y et al. JACC CardioOncol (2022)
|Ext.
Reported Trait: Coronary artery disease in childhood cancer survivors HR: 1.25 [1.04, 1.49]
PPM014905 PGS000013
(GPS_CAD)
PSS009922|
European Ancestry|
2,119 individuals
PGP000353 |
Sapkota Y et al. JACC CardioOncol (2022)
|Ext.
Reported Trait: Coronary artery disease in childhood cancer survivors aged <10 years at diagnosis and treated with >25 Gy AUROC: 0.714 Hazard Ratio (HR, top vs. bottom tertile): 15.49 [5.24, 45.52]
PPM015491 PGS000013
(GPS_CAD)
PSS009960|
Ancestry Not Reported|
172,066 individuals
PGP000374 |
Zaccardi F et al. Nutr Metab Cardiovasc Dis (2022)
|Ext.
Reported Trait: 10-year risk of coronary artery disease for slow walkers Hazard Ratio (HR, top 20% vs. bottom 80%): 9.6 [8.62, 10.57]
PPM015493 PGS000013
(GPS_CAD)
PSS009960|
Ancestry Not Reported|
172,066 individuals
PGP000374 |
Zaccardi F et al. Nutr Metab Cardiovasc Dis (2022)
|Ext.
Reported Trait: Difference in 10-year risk of coronary artery disease between slow walkers and brisk walkers Hazard Ratio (HR, top 20% vs. bottom 80%): 3.63 [2.58, 4.67]
PPM015521 PGS000013
(GPS_CAD)
PSS009971|
Multi-ancestry (including European)|
36,422 individuals
PGP000381 |
Hao L et al. Nat Med (2022)
|Ext.
Reported Trait: Coronary artery disease OR: 1.86 [1.69, 2.05] 4 genetic PCs
PPM015490 PGS000013
(GPS_CAD)
PSS009961|
Ancestry Not Reported|
208,627 individuals
PGP000374 |
Zaccardi F et al. Nutr Metab Cardiovasc Dis (2022)
|Ext.
Reported Trait: 10-year risk of coronary artery disease for slow walkers Hazard Ratio (HR, top 20% vs. bottom 80%): 2.72 [2.3, 3.13]
PPM015492 PGS000013
(GPS_CAD)
PSS009961|
Ancestry Not Reported|
208,627 individuals
PGP000374 |
Zaccardi F et al. Nutr Metab Cardiovasc Dis (2022)
|Ext.
Reported Trait: Difference in 10-year risk of coronary artery disease between slow walkers and brisk walkers Hazard Ratio (HR, top 20% vs. bottom 80%): 1.26 [0.81, 1.71]
PPM015494 PGS000013
(GPS_CAD)
PSS009961|
Ancestry Not Reported|
208,627 individuals
PGP000374 |
Zaccardi F et al. Nutr Metab Cardiovasc Dis (2022)
|Ext.
Reported Trait: 10-year risk of coronary artery disease C-index: 0.801 [0.793, 0.808] Age (continuous), Townsend deprivation index (continuous), systolic blood pressure (continuous), LDL cholesterol (continuous), smoking status (current/former/never), history of diabetes (yes/no), family history of myocardial infarction (yes/no), walking pace
PPM015495 PGS000013
(GPS_CAD)
PSS009960|
Ancestry Not Reported|
172,066 individuals
PGP000374 |
Zaccardi F et al. Nutr Metab Cardiovasc Dis (2022)
|Ext.
Reported Trait: 10-year risk of coronary artery disease C-index: 0.732 [0.728, 0.737] Age (continuous), Townsend deprivation index (continuous), systolic blood pressure (continuous), LDL cholesterol (continuous), smoking status (current/former/never), history of diabetes (yes/no), family history of myocardial infarction (yes/no), walking pace
PPM017088 PGS000013
(GPS_CAD)
PSS010120|
European Ancestry|
4,218 individuals
PGP000433 |
de La Harpe R et al. Eur J Prev Cardiol (2023)
|Ext.
Reported Trait: Atherosclerotic cardiovascular disease (incident and prevalent) OR: 1.34 [1.2, 1.5] AUROC: 0.766 [0.741, 0.792] sex, age
PPM017089 PGS000013
(GPS_CAD)
PSS010122|
European Ancestry|
4,218 individuals
PGP000433 |
de La Harpe R et al. Eur J Prev Cardiol (2023)
|Ext.
Reported Trait: Coronary heart disease (incident and prevalent) OR: 1.6 [1.44, 1.79] AUROC: 0.784 [0.76, 0.808] sex, age
PPM017090 PGS000013
(GPS_CAD)
PSS010119|
European Ancestry|
3,383 individuals
PGP000433 |
de La Harpe R et al. Eur J Prev Cardiol (2023)
|Ext.
Reported Trait: Incident atherosclerotic cardiovascular disease HR: 1.29 [1.13, 1.48] sex, age, 10 principal components
PPM017091 PGS000013
(GPS_CAD)
PSS010121|
European Ancestry|
3,383 individuals
PGP000433 |
de La Harpe R et al. Eur J Prev Cardiol (2023)
|Ext.
Reported Trait: Incident coronary heart disease HR: 1.59 [1.41, 1.8] sex, age, 10 principal components
PPM017188 PGS000013
(GPS_CAD)
PSS010162|
European Ancestry|
292,438 individuals
PGP000446 |
Tcheandjieu C et al. Nat Med (2022)
|Ext.
Reported Trait: Acute myocardial infarction or revascularization OR: 1.51 [1.49, 1.53] age, sex, genotyping batch and top 10 genotype-based PCs
PPM017195 PGS000013
(GPS_CAD)
PSS010161|
Hispanic or Latin American Ancestry|
30,648 individuals
PGP000446 |
Tcheandjieu C et al. Nat Med (2022)
|Ext.
Reported Trait: Acute myocardial infarction or revascularization in incident coronary artery disease OR: 1.49 [1.38, 1.61] age, sex, genotyping batch and top 10 genotype-based PCs
PPM020267 PGS000013
(GPS_CAD)
PSS011315|
East Asian Ancestry|
901 individuals
PGP000534 |
Bhak Y et al. PLoS One (2021)
|Ext.
Reported Trait: Early onset acute myocardial infarction following percutaneous coronary intervention OR: 1.83 [1.69, 1.99] AUROC: 0.65 [0.61, 0.69]
PPM020269 PGS000013
(GPS_CAD)
PSS011316|
East Asian Ancestry|
197 individuals
PGP000534 |
Bhak Y et al. PLoS One (2021)
|Ext.
Reported Trait: Cumulative event of repeat revascularization following percutaneous coronary intervention HR: 1.64 [1.12, 2.38] Hazard ratio (HR, top 50% vs bottom 50%): 2.19 [1.47, 2.36]
PPM020270 PGS000013
(GPS_CAD)
PSS011316|
East Asian Ancestry|
197 individuals
PGP000534 |
Bhak Y et al. PLoS One (2021)
|Ext.
Reported Trait: Cumulative event of repeat revascularization following percutaneous coronary intervention HR: 1.65 [1.11, 2.46] Body mass index, hypertension, current smoking, diabetes mellitus, hypercholesterolemia, family history of coronary artery disease
PPM020268 PGS000013
(GPS_CAD)
PSS011315|
East Asian Ancestry|
901 individuals
PGP000534 |
Bhak Y et al. PLoS One (2021)
|Ext.
Reported Trait: Early onset acute myocardial infarction following percutaneous coronary intervention AUROC: 0.92 [0.9, 0.94] Current smoking, hypercholesterolemia, body mass index, hypertension, family history of coronary artery disease, diabetes mellitus significant contribution of the PRS to the risk factor model p=0.015
PPM020713 PGS000013
(GPS_CAD)
PSS011380|
European Ancestry|
1,863 individuals
PGP000568 |
Khan SS et al. Circulation (2022)
|Ext.
Reported Trait: Incident coronary heart diseaase HR: 1.82 [1.56, 2.12] 30-year traditional risk factor score linear predictor
PPM020714 PGS000013
(GPS_CAD)
PSS011379|
European Ancestry|
2,154 individuals
PGP000568 |
Khan SS et al. Circulation (2022)
|Ext.
Reported Trait: Incident coronary heart diseaase HR: 1.6 [1.43, 1.79] 30-year traditional risk factor score linear predictor
PPM020715 PGS000013
(GPS_CAD)
PSS011378|
European Ancestry|
5,740 individuals
PGP000568 |
Khan SS et al. Circulation (2022)
|Ext.
Reported Trait: Incident coronary heart diseaase HR: 1.16 [1.09, 1.23] 30-year traditional risk factor score linear predictor
PPM020716 PGS000013
(GPS_CAD)
PSS011380|
European Ancestry|
1,863 individuals
PGP000568 |
Khan SS et al. Circulation (2022)
|Ext.
Reported Trait: Incident coronary heart diseaase HR: 1.98 [1.7, 2.3] C-index: 0.73 Age, sex
PPM020717 PGS000013
(GPS_CAD)
PSS011379|
European Ancestry|
2,154 individuals
PGP000568 |
Khan SS et al. Circulation (2022)
|Ext.
Reported Trait: Incident coronary heart diseaase HR: 1.64 [1.47, 1.84] C-index: 0.66 Age, sex
PPM020718 PGS000013
(GPS_CAD)
PSS011378|
European Ancestry|
5,740 individuals
PGP000568 |
Khan SS et al. Circulation (2022)
|Ext.
Reported Trait: Incident coronary heart diseaase HR: 1.22 [1.15, 1.3] C-index: 0.66 Age, sex
PPM000027 PGS000018
(metaGRS_CAD)
PSS000018|
Multi-ancestry (including European)|
482,629 individuals
PGP000007 |
Inouye M et al. J Am Coll Cardiol (2018)
Reported Trait: Incident coronary artery disease HR: 1.706 [1.682, 1.73] AUROC: 0.79
C-index: 0.623 [0.615, 0.631]
AUPRC: 0.161 sex, genetic PCs (1-10), genotyping array age-as-time-scale Cox regression
PPM000597 PGS000018
(metaGRS_CAD)
PSS000336|
Hispanic or Latin American Ancestry|
2,194 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Incident coronary heart disease HR: 1.53 [1.23, 1.9] C-index: 0.683 sex, eMERGE site, first five ancestry-specific principal components Age-as-time-scale Cox regression
PPM000594 PGS000018
(metaGRS_CAD)
PSS000332|
African Ancestry|
7,070 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Incident coronary heart disease HR: 1.27 [1.13, 1.43] C-index: 0.663 sex, eMERGE site, first five ancestry-specific principal components Age-as-time-scale Cox regression
PPM000591 PGS000018
(metaGRS_CAD)
PSS000334|
European Ancestry|
39,758 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Incident coronary heart disease HR: 1.53 [1.46, 1.6] C-index: 0.719 sex, eMERGE site, first five ancestry-specific principal components Age-as-time-scale Cox regression
PPM000616 PGS000018
(metaGRS_CAD)
PSS000334|
European Ancestry|
39,758 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Incident coronary heart disease HR: 1.49 [1.43, 1.56] C-index: 0.75 sex, eMERGE site, diabetes, hypertension, hyperlipidemia, statin use, first 5 ancestry-specific principal components Age-as-time-scale Cox regression
PPM000620 PGS000018
(metaGRS_CAD)
PSS000332|
African Ancestry|
7,070 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Incident coronary heart disease HR: 1.25 [1.12, 1.41] C-index: 0.723 sex, eMERGE site, diabetes, hypertension, hyperlipidemia, statin use, first 5 ancestry-specific principal components Age-as-time-scale Cox regression
PPM000624 PGS000018
(metaGRS_CAD)
PSS000336|
Hispanic or Latin American Ancestry|
2,194 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Incident coronary heart disease HR: 1.5 [1.21, 1.87] C-index: 0.725 sex, eMERGE site, diabetes, hypertension, hyperlipidemia, statin use, first 5 ancestry-specific principal components Age-as-time-scale Cox regression
PPM001666 PGS000018
(metaGRS_CAD)
PSS000868|
European Ancestry|
3,087 individuals
PGP000137 |
Ritchie SC et al. Nat Metab (2021)
|Ext.
Reported Trait: Incident myocardial infarction HR: 2.89 [1.66, 5.04] age, sex, 10 genetic PCs
PPM001845 PGS000018
(metaGRS_CAD)
PSS000929|
European Ancestry|
5,581 individuals
PGP000152 |
Gola D et al. Circ Genom Precis Med (2020)
|Ext.
Reported Trait: Coronary artery disease AUROC: 0.5015 [0.483, 0.514] Area under the Precision-Recall curve (AUPRC): 0.5205 [0.5201, 0.521]
PPM001846 PGS000018
(metaGRS_CAD)
PSS000930|
European Ancestry|
27,048 individuals
PGP000152 |
Gola D et al. Circ Genom Precis Med (2020)
|Ext.
Reported Trait: Coronary artery disease AUROC: 0.6597 [0.6405, 0.6789] Area under the Precision-Recall curve (AUPRC): 0.0673 [0.0668, 0.0679]
PPM000034 PGS000018
(metaGRS_CAD)
PSS000021|
European Ancestry|
1,964 individuals
PGP000008 |
Wünnemann F et al. Circ Genom Precis Med (2019)
|Ext.
Reported Trait: Coronary artery disease (prevalent) OR: 1.74 [1.57, 1.93] AUROC: 0.72 [0.7, 0.75] age, sex, first four genetic PCs
PPM000035 PGS000018
(metaGRS_CAD)
PSS000022|
European Ancestry|
3,309 individuals
PGP000008 |
Wünnemann F et al. Circ Genom Precis Med (2019)
|Ext.
Reported Trait: Coronary artery disease (prevalent) OR: 1.6 [1.43, 1.8] AUROC: 0.89 [0.88, 0.91] age, sex, first four genetic PCs
PPM000036 PGS000018
(metaGRS_CAD)
PSS000019|
European Ancestry|
5,762 individuals
PGP000008 |
Wünnemann F et al. Circ Genom Precis Med (2019)
|Ext.
Reported Trait: Coronary artery disease (prevalent) OR: 1.75 [1.49, 2.05] AUROC: 0.84 [0.81, 0.87] age, sex, first four genetic PCs, cohort recruitment centre
PPM000037 PGS000018
(metaGRS_CAD)
PSS000020|
European Ancestry|
3,195 individuals
PGP000008 |
Wünnemann F et al. Circ Genom Precis Med (2019)
|Ext.
Reported Trait: Reccurent coronary artery disease events OR: 1.17 [1.08, 1.26] age, sex, first four genetic PCs
PPM000518 PGS000018
(metaGRS_CAD)
PSS000287|
European Ancestry|
1,319 individuals
PGP000077 |
Timmerman N et al. medRxiv (2019)
|Ext.|Pre
Reported Trait: Plaque vulnerability score β: 0.07 [0.003, 0.137] Age, sex, surgery year, type of cerebrovascular symptoms, array, 4 genetic PCs
PPM000517 PGS000018
(metaGRS_CAD)
PSS000287|
European Ancestry|
1,319 individuals
PGP000077 |
Timmerman N et al. medRxiv (2019)
|Ext.|Pre
Reported Trait: Microvessels β: 0.037 [-0.006, 0.08] Age, sex, surgery year, type of cerebrovascular symptoms, array, 4 genetic PCs
PPM000516 PGS000018
(metaGRS_CAD)
PSS000287|
European Ancestry|
1,319 individuals
PGP000077 |
Timmerman N et al. medRxiv (2019)
|Ext.|Pre
Reported Trait: Number of smoooth muscle cells β: -0.004 [-0.038, 0.031] Age, sex, surgery year, type of cerebrovascular symptoms, array, 4 genetic PCs
PPM000515 PGS000018
(metaGRS_CAD)
PSS000287|
European Ancestry|
1,319 individuals
PGP000077 |
Timmerman N et al. medRxiv (2019)
|Ext.|Pre
Reported Trait: Number of macrophages β: 0.01 [-0.015, 0.036] Age, sex, surgery year, type of cerebrovascular symptoms, array, 4 genetic PCs
PPM000514 PGS000018
(metaGRS_CAD)
PSS000287|
European Ancestry|
1,319 individuals
PGP000077 |
Timmerman N et al. medRxiv (2019)
|Ext.|Pre
Reported Trait: Moderate/heavy macrophages OR: 1.103 [0.983, 1.237] Age, sex, surgery year, type of cerebrovascular symptoms, array, 4 genetic PCs
PPM000513 PGS000018
(metaGRS_CAD)
PSS000287|
European Ancestry|
1,319 individuals
PGP000077 |
Timmerman N et al. medRxiv (2019)
|Ext.|Pre
Reported Trait: Moderate/heavy smooth muscle cells OR: 1.004 [0.88, 1.145] Age, sex, surgery year, type of cerebrovascular symptoms, array, 4 genetic PCs
PPM000512 PGS000018
(metaGRS_CAD)
PSS000287|
European Ancestry|
1,319 individuals
PGP000077 |
Timmerman N et al. medRxiv (2019)
|Ext.|Pre
Reported Trait: Presence of IPH OR: 1.126 [0.999, 1.27] Age, sex, surgery year, type of cerebrovascular symptoms, array, 4 genetic PCs
PPM000511 PGS000018
(metaGRS_CAD)
PSS000287|
European Ancestry|
1,319 individuals
PGP000077 |
Timmerman N et al. medRxiv (2019)
|Ext.|Pre
Reported Trait: Presence of lipid core >10% OR: 1.171 [1.026, 1.337] Age, sex, surgery year, type of cerebrovascular symptoms, array, 4 genetic PCs
PPM000510 PGS000018
(metaGRS_CAD)
PSS000287|
European Ancestry|
1,319 individuals
PGP000077 |
Timmerman N et al. medRxiv (2019)
|Ext.|Pre
Reported Trait: Moderate/heavy collagen OR: 1.064 [0.919, 1.231] Age, sex, surgery year, type of cerebrovascular symptoms, array, 4 genetic PCs
PPM000509 PGS000018
(metaGRS_CAD)
PSS000287|
European Ancestry|
1,319 individuals
PGP000077 |
Timmerman N et al. medRxiv (2019)
|Ext.|Pre
Reported Trait: Moderate/heavy calficiations OR: 0.94 [0.826, 1.07] Age, sex, surgery year, type of cerebrovascular symptoms, array, 4 genetic PCs
PPM000508 PGS000018
(metaGRS_CAD)
PSS000287|
European Ancestry|
1,319 individuals
PGP000077 |
Timmerman N et al. medRxiv (2019)
|Ext.|Pre
Reported Trait: Plaque vulnerability score OR: 0.198 [0.003, 0.364] Age, sex, surgery year, type of cerebrovascular symptoms, array, 4 genetic PCs
PPM000507 PGS000018
(metaGRS_CAD)
PSS000287|
European Ancestry|
1,319 individuals
PGP000077 |
Timmerman N et al. medRxiv (2019)
|Ext.|Pre
Reported Trait: Microvessels Beta (top 20% vs. rest): 0.072 [-0.037, 0.182] Age, sex, surgery year, type of cerebrovascular symptoms, array, 4 genetic PCs
PPM000506 PGS000018
(metaGRS_CAD)
PSS000287|
European Ancestry|
1,319 individuals
PGP000077 |
Timmerman N et al. medRxiv (2019)
|Ext.|Pre
Reported Trait: Number of smoooth muscle cells Beta (top 20% vs. rest): -0.056 [-0.143, 0.031] Age, sex, surgery year, type of cerebrovascular symptoms, array, 4 genetic PCs
PPM000505 PGS000018
(metaGRS_CAD)
PSS000287|
European Ancestry|
1,319 individuals
PGP000077 |
Timmerman N et al. medRxiv (2019)
|Ext.|Pre
Reported Trait: Number of macrophages Beta (top 20% vs. rest): 0.55 [-0.012, 0.121] Age, sex, surgery year, type of cerebrovascular symptoms, array, 4 genetic PCs
PPM000504 PGS000018
(metaGRS_CAD)
PSS000287|
European Ancestry|
1,319 individuals
PGP000077 |
Timmerman N et al. medRxiv (2019)
|Ext.|Pre
Reported Trait: Moderate/heavy macrophages Odds Ratio (OR; top 20% vs. rest): 1.49 [1.118, 1.986] Age, sex, surgery year, type of cerebrovascular symptoms, array, 4 genetic PCs
PPM000503 PGS000018
(metaGRS_CAD)
PSS000287|
European Ancestry|
1,319 individuals
PGP000077 |
Timmerman N et al. medRxiv (2019)
|Ext.|Pre
Reported Trait: Moderate/heavy smooth muscle cells Odds Ratio (OR; top 20% vs. rest): 0.908 [0.652, 1.265] Age, sex, surgery year, type of cerebrovascular symptoms, array, 4 genetic PCs
PPM000502 PGS000018
(metaGRS_CAD)
PSS000287|
European Ancestry|
1,319 individuals
PGP000077 |
Timmerman N et al. medRxiv (2019)
|Ext.|Pre
Reported Trait: Presence of IPH Odds Ratio (OR; top 20% vs. rest): 1.112 [0.821, 1.506] Age, sex, surgery year, type of cerebrovascular symptoms, array, 4 genetic PCs
PPM000501 PGS000018
(metaGRS_CAD)
PSS000287|
European Ancestry|
1,319 individuals
PGP000077 |
Timmerman N et al. medRxiv (2019)
|Ext.|Pre
Reported Trait: Presence of lipid core >10% Odds Ratio (OR; top 20% vs. rest): 1.591 [1.105, 2.291] Age, sex, surgery year, type of cerebrovascular symptoms, array, 4 genetic PCs
PPM000500 PGS000018
(metaGRS_CAD)
PSS000287|
European Ancestry|
1,319 individuals
PGP000077 |
Timmerman N et al. medRxiv (2019)
|Ext.|Pre
Reported Trait: Moderate/heavy collagen Odds Ratio (OR; top 20% vs. rest): 1.091 [0.755, 1.577] Age, sex, surgery year, type of cerebrovascular symptoms, array, 4 genetic PCs
PPM000499 PGS000018
(metaGRS_CAD)
PSS000287|
European Ancestry|
1,319 individuals
PGP000077 |
Timmerman N et al. medRxiv (2019)
|Ext.|Pre
Reported Trait: Moderate/heavy calficiations Odds Ratio (OR; top 20% vs. rest): 1.001 [0.754, 1.33] Age, sex, surgery year, type of cerebrovascular symptoms, array, 4 genetic PCs
PPM000498 PGS000018
(metaGRS_CAD)
PSS000287|
European Ancestry|
1,319 individuals
PGP000077 |
Timmerman N et al. medRxiv (2019)
|Ext.|Pre
Reported Trait: Secondary cardiovascular events HR: 1.15 [1.02, 1.29] Age, sex, diabetes, BMI, smoking, hypercholesterolemia, array, 4 genetics PCs
PPM000603 PGS000018
(metaGRS_CAD)
PSS000331|
African Ancestry|
7,597 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Coronary heart disease (incident and prevalent) OR: 1.4 [1.3, 1.52] AUROC: 0.775 age at first EHR record, duration of EHR, sex, eMERGE site, first five ancestry-specific principal components
PPM000600 PGS000018
(metaGRS_CAD)
PSS000333|
European Ancestry|
45,645 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Coronary heart disease (incident and prevalent) OR: 1.73 [1.68, 1.78] AUROC: 0.772 age at first EHR record, duration of EHR, sex, eMERGE site, first five ancestry-specific principal components
PPM000606 PGS000018
(metaGRS_CAD)
PSS000335|
Hispanic or Latin American Ancestry|
2,493 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Coronary heart disease (incident and prevalent) OR: 1.93 [1.67, 2.22] AUROC: 0.794 age at first EHR record, duration of EHR, sex, eMERGE site, first five ancestry-specific principal components
PPM001847 PGS000018
(metaGRS_CAD)
PSS000931|
European Ancestry|
431,814 individuals
PGP000152 |
Gola D et al. Circ Genom Precis Med (2020)
|Ext.
Reported Trait: Coronary artery disease AUROC: 0.6377 [0.6339, 0.6416] Area under the Precision-Recall curve (AUPRC): 0.0832 [0.083, 0.0835] May be an overlap between score development and testing sample
PPM005152 PGS000018
(metaGRS_CAD)
PSS003597|
Multi-ancestry (including European)|
12,413 individuals
PGP000248 |
Liou L et al. Breast Cancer Res (2021)
|Ext.
Reported Trait: Incident coronary artery disease survival in individuals with breast cancer HR: 1.36 [1.23, 1.5] Age SNPs with imputation quality scores of less than 0.3 and ambiguous strand SNPs (A/T and G/C pairs) were excluded from PGS000018.
PPM005153 PGS000018
(metaGRS_CAD)
PSS003596|
European Ancestry|
8,946 individuals
PGP000248 |
Liou L et al. Breast Cancer Res (2021)
|Ext.
Reported Trait: Incident coronary artery disease in individuals with breast cancer HR: 1.36 [1.23, 1.51] Age at diagnosis, genotype array, PCs(1-8) SNPs with imputation quality scores of less than 0.3 and ambiguous strand SNPs (A/T and G/C pairs) were excluded from PGS000018.
PPM005154 PGS000018
(metaGRS_CAD)
PSS003596|
European Ancestry|
8,946 individuals
PGP000248 |
Liou L et al. Breast Cancer Res (2021)
|Ext.
Reported Trait: Incident coronary artery disease in individuals with breast cancer HR: 1.34 [1.21, 1.49] Age at diagnosis, genotype array, PCs(1-8), body mass index, smoking SNPs with imputation quality scores of less than 0.3 and ambiguous strand SNPs (A/T and G/C pairs) were excluded from PGS000018.
PPM005155 PGS000018
(metaGRS_CAD)
PSS003596|
European Ancestry|
8,946 individuals
PGP000248 |
Liou L et al. Breast Cancer Res (2021)
|Ext.
Reported Trait: Incident coronary artery disease in individuals with breast cancer HR: 1.34 [1.21, 1.48] Age at diagnosis, genotype array, PCs(1-8), body mass index, smoking, sociodemographic variables SNPs with imputation quality scores of less than 0.3 and ambiguous strand SNPs (A/T and G/C pairs) were excluded from PGS000018.
PPM005156 PGS000018
(metaGRS_CAD)
PSS003596|
European Ancestry|
8,946 individuals
PGP000248 |
Liou L et al. Breast Cancer Res (2021)
|Ext.
Reported Trait: Incident coronary artery disease in individuals with breast cancer HR: 1.33 [1.2, 1.48] Age at diagnosis, genotype array, PCs(1-8), body mass index, smoking, sociodemographic variables, medical variables SNPs with imputation quality scores of less than 0.3 and ambiguous strand SNPs (A/T and G/C pairs) were excluded from PGS000018.
PPM005157 PGS000018
(metaGRS_CAD)
PSS003596|
European Ancestry|
8,946 individuals
PGP000248 |
Liou L et al. Breast Cancer Res (2021)
|Ext.
Reported Trait: Incident coronary artery disease in individuals with breast cancer HR: 1.33 [1.2, 1.47] Age at diagnosis, genotype array, PCs(1-8), body mass index, smoking, sociodemographic variables, medical variables, oncotherapies SNPs with imputation quality scores of less than 0.3 and ambiguous strand SNPs (A/T and G/C pairs) were excluded from PGS000018.
PPM015480 PGS000018
(metaGRS_CAD)
PSS009958|
European Ancestry|
21,863 individuals
PGP000372 |
Clarke SL et al. Commun Med (Lond) (2022)
|Ext.
Reported Trait: Uterine cancer death HR: 0.68 [0.46, 1.0]
PPM015451 PGS000018
(metaGRS_CAD)
PSS009958|
European Ancestry|
21,863 individuals
PGP000372 |
Clarke SL et al. Commun Med (Lond) (2022)
|Ext.
Reported Trait: Self-reported hypertension OR: 1.2 [1.16, 1.24]
PPM015478 PGS000018
(metaGRS_CAD)
PSS009958|
European Ancestry|
21,863 individuals
PGP000372 |
Clarke SL et al. Commun Med (Lond) (2022)
|Ext.
Reported Trait: Brain cancer death HR: 0.71 [0.52, 0.97]
PPM015479 PGS000018
(metaGRS_CAD)
PSS009958|
European Ancestry|
21,863 individuals
PGP000372 |
Clarke SL et al. Commun Med (Lond) (2022)
|Ext.
Reported Trait: Pneumonia death HR: 1.14 [1.0, 1.3]
PPM017200 PGS000018
(metaGRS_CAD)
PSS010162|
European Ancestry|
292,438 individuals
PGP000446 |
Tcheandjieu C et al. Nat Med (2022)
|Ext.
Reported Trait: Acute myocardial infarction or revascularization OR: 1.54 [1.52, 1.56] age, sex, genotyping batch and top 10 genotype-based PCs
PPM017201 PGS000018
(metaGRS_CAD)
PSS010161|
Hispanic or Latin American Ancestry|
30,648 individuals
PGP000446 |
Tcheandjieu C et al. Nat Med (2022)
|Ext.
Reported Trait: Acute myocardial infarction or revascularization OR: 1.62 [1.54, 1.71] age, sex, genotyping batch and top 10 genotype-based PCs
PPM017202 PGS000018
(metaGRS_CAD)
PSS010160|
African Ancestry|
76,709 individuals
PGP000446 |
Tcheandjieu C et al. Nat Med (2022)
|Ext.
Reported Trait: Acute myocardial infarction or revascularization OR: 1.2 [1.17, 1.2] age, sex, genotyping batch and top 10 genotype-based PCs
PPM017203 PGS000018
(metaGRS_CAD)
PSS010162|
European Ancestry|
292,438 individuals
PGP000446 |
Tcheandjieu C et al. Nat Med (2022)
|Ext.
Reported Trait: Coronary artery disease OR: 1.38 [1.36, 1.39] age, sex, genotyping batch and top 10 genotype-based PCs
PPM017204 PGS000018
(metaGRS_CAD)
PSS010161|
Hispanic or Latin American Ancestry|
30,648 individuals
PGP000446 |
Tcheandjieu C et al. Nat Med (2022)
|Ext.
Reported Trait: Coronary artery disease OR: 1.39 [1.34, 1.43] age, sex, genotyping batch and top 10 genotype-based PCs
PPM017205 PGS000018
(metaGRS_CAD)
PSS010160|
African Ancestry|
76,709 individuals
PGP000446 |
Tcheandjieu C et al. Nat Med (2022)
|Ext.
Reported Trait: Coronary artery disease OR: 1.12 [1.1, 1.14] age, sex, genotyping batch and top 10 genotype-based PCs
PPM017206 PGS000018
(metaGRS_CAD)
PSS010162|
European Ancestry|
292,438 individuals
PGP000446 |
Tcheandjieu C et al. Nat Med (2022)
|Ext.
Reported Trait: Acute myocardial infarction or revascularization in incident coronary artery disease OR: 1.47 [1.44, 1.5] age, sex, genotyping batch and top 10 genotype-based PCs
PPM017207 PGS000018
(metaGRS_CAD)
PSS010161|
Hispanic or Latin American Ancestry|
30,648 individuals
PGP000446 |
Tcheandjieu C et al. Nat Med (2022)
|Ext.
Reported Trait: Acute myocardial infarction or revascularization in incident coronary artery disease OR: 1.5 [1.38, 1.63] age, sex, genotyping batch and top 10 genotype-based PCs
PPM017208 PGS000018
(metaGRS_CAD)
PSS010160|
African Ancestry|
76,709 individuals
PGP000446 |
Tcheandjieu C et al. Nat Med (2022)
|Ext.
Reported Trait: Acute myocardial infarction or revascularization in incident coronary artery disease OR: 1.17 [1.12, 1.22] age, sex, genotyping batch and top 10 genotype-based PCs
PPM017209 PGS000018
(metaGRS_CAD)
PSS010162|
European Ancestry|
292,438 individuals
PGP000446 |
Tcheandjieu C et al. Nat Med (2022)
|Ext.
Reported Trait: Incident coronary artery disease OR: 1.27 [1.25, 1.29] age, sex, genotyping batch and top 10 genotype-based PCs
PPM017210 PGS000018
(metaGRS_CAD)
PSS010161|
Hispanic or Latin American Ancestry|
30,648 individuals
PGP000446 |
Tcheandjieu C et al. Nat Med (2022)
|Ext.
Reported Trait: Incident coronary artery disease OR: 1.24 [1.17, 1.32] age, sex, genotyping batch and top 10 genotype-based PCs
PPM017211 PGS000018
(metaGRS_CAD)
PSS010160|
African Ancestry|
76,709 individuals
PGP000446 |
Tcheandjieu C et al. Nat Med (2022)
|Ext.
Reported Trait: Incident coronary artery disease OR: 1.1 [1.07, 1.14] age, sex, genotyping batch and top 10 genotype-based PCs
PPM015476 PGS000018
(metaGRS_CAD)
PSS009958|
European Ancestry|
21,863 individuals
PGP000372 |
Clarke SL et al. Commun Med (Lond) (2022)
|Ext.
Reported Trait: Cerebrovascular death HR: 1.11 [1.03, 1.2]
PPM015477 PGS000018
(metaGRS_CAD)
PSS009958|
European Ancestry|
21,863 individuals
PGP000372 |
Clarke SL et al. Commun Med (Lond) (2022)
|Ext.
Reported Trait: Dementia death HR: 1.11 [1.02, 1.21]
PPM015454 PGS000018
(metaGRS_CAD)
PSS009958|
European Ancestry|
21,863 individuals
PGP000372 |
Clarke SL et al. Commun Med (Lond) (2022)
|Ext.
Reported Trait: Self-reported family history of myocardial infarction OR: 1.16 [1.13, 1.2]
PPM015455 PGS000018
(metaGRS_CAD)
PSS009958|
European Ancestry|
21,863 individuals
PGP000372 |
Clarke SL et al. Commun Med (Lond) (2022)
|Ext.
Reported Trait: Self-reported family history of stroke OR: 1.07 [1.04, 1.11]
PPM015456 PGS000018
(metaGRS_CAD)
PSS009958|
European Ancestry|
21,863 individuals
PGP000372 |
Clarke SL et al. Commun Med (Lond) (2022)
|Ext.
Reported Trait: Self-reported history of breast cancer OR: 0.81 [0.69, 0.95]
PPM015457 PGS000018
(metaGRS_CAD)
PSS009958|
European Ancestry|
21,863 individuals
PGP000372 |
Clarke SL et al. Commun Med (Lond) (2022)
|Ext.
Reported Trait: Self-reported history of non-melanoma skin cancer OR: 0.93 [0.89, 0.98]
PPM015458 PGS000018
(metaGRS_CAD)
PSS009958|
European Ancestry|
21,863 individuals
PGP000372 |
Clarke SL et al. Commun Med (Lond) (2022)
|Ext.
Reported Trait: Self-reported family history of colon cancer OR: 0.95 [0.91, 0.99]
PPM015459 PGS000018
(metaGRS_CAD)
PSS009958|
European Ancestry|
21,863 individuals
PGP000372 |
Clarke SL et al. Commun Med (Lond) (2022)
|Ext.
Reported Trait: Self-reported history of colonoscopy OR: 0.96 [0.93, 0.99]
PPM015461 PGS000018
(metaGRS_CAD)
PSS009958|
European Ancestry|
21,863 individuals
PGP000372 |
Clarke SL et al. Commun Med (Lond) (2022)
|Ext.
Reported Trait: Incident PTCA OR: 1.53 [1.43, 1.63] Smoking status, self-reported diabetes at baseline, systolic blood pressure, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol
PPM015462 PGS000018
(metaGRS_CAD)
PSS009958|
European Ancestry|
21,863 individuals
PGP000372 |
Clarke SL et al. Commun Med (Lond) (2022)
|Ext.
Reported Trait: Incident myocardial infarction OR: 1.41 [1.32, 1.5] Smoking status, self-reported diabetes at baseline, systolic blood pressure, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol
PPM015463 PGS000018
(metaGRS_CAD)
PSS009958|
European Ancestry|
21,863 individuals
PGP000372 |
Clarke SL et al. Commun Med (Lond) (2022)
|Ext.
Reported Trait: Incident coronary heart disease OR: 1.31 [1.23, 1.38] Smoking status, self-reported diabetes at baseline, systolic blood pressure, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol
PPM015464 PGS000018
(metaGRS_CAD)
PSS009958|
European Ancestry|
21,863 individuals
PGP000372 |
Clarke SL et al. Commun Med (Lond) (2022)
|Ext.
Reported Trait: Incident CABG OR: 1.53 [1.39, 1.7] Smoking status, self-reported diabetes at baseline, systolic blood pressure, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol
PPM015465 PGS000018
(metaGRS_CAD)
PSS009958|
European Ancestry|
21,863 individuals
PGP000372 |
Clarke SL et al. Commun Med (Lond) (2022)
|Ext.
Reported Trait: Incident all angina OR: 1.38 [1.26, 1.51] Smoking status, self-reported diabetes at baseline, systolic blood pressure, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol
PPM015466 PGS000018
(metaGRS_CAD)
PSS009958|
European Ancestry|
21,863 individuals
PGP000372 |
Clarke SL et al. Commun Med (Lond) (2022)
|Ext.
Reported Trait: Incident ischemic stroke OR: 1.11 [1.04, 1.19] Smoking status, self-reported diabetes at baseline, systolic blood pressure, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol
PPM015467 PGS000018
(metaGRS_CAD)
PSS009958|
European Ancestry|
21,863 individuals
PGP000372 |
Clarke SL et al. Commun Med (Lond) (2022)
|Ext.
Reported Trait: Incident all stroke OR: 1.09 [1.03, 1.16] Smoking status, self-reported diabetes at baseline, systolic blood pressure, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol
PPM015468 PGS000018
(metaGRS_CAD)
PSS009958|
European Ancestry|
21,863 individuals
PGP000372 |
Clarke SL et al. Commun Med (Lond) (2022)
|Ext.
Reported Trait: Incident TIA OR: 1.21 [1.04, 1.41] Smoking status, self-reported diabetes at baseline, systolic blood pressure, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol
PPM015469 PGS000018
(metaGRS_CAD)
PSS009958|
European Ancestry|
21,863 individuals
PGP000372 |
Clarke SL et al. Commun Med (Lond) (2022)
|Ext.
Reported Trait: Incident peripheral artery disease OR: 1.16 [1.01, 1.32] Smoking status, self-reported diabetes at baseline, systolic blood pressure, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol
PPM015470 PGS000018
(metaGRS_CAD)
PSS009958|
European Ancestry|
21,863 individuals
PGP000372 |
Clarke SL et al. Commun Med (Lond) (2022)
|Ext.
Reported Trait: Incident carotid disease OR: 1.14 [1.0, 1.3] Smoking status, self-reported diabetes at baseline, systolic blood pressure, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol
PPM015471 PGS000018
(metaGRS_CAD)
PSS009958|
European Ancestry|
21,863 individuals
PGP000372 |
Clarke SL et al. Commun Med (Lond) (2022)
|Ext.
Reported Trait: Incident any cancer OR: 0.96 [0.93, 0.99] Smoking status, alcohol consumption, weekly physical activity, dietary health measured by the alternative healthy eating index, and BMI
PPM015472 PGS000018
(metaGRS_CAD)
PSS009958|
European Ancestry|
21,863 individuals
PGP000372 |
Clarke SL et al. Commun Med (Lond) (2022)
|Ext.
Reported Trait: Incident lung cancer OR: 0.91 [0.83, 0.99] Smoking status, alcohol consumption, weekly physical activity, dietary health measured by the alternative healthy eating index, and BMI
PPM015473 PGS000018
(metaGRS_CAD)
PSS009958|
European Ancestry|
21,863 individuals
PGP000372 |
Clarke SL et al. Commun Med (Lond) (2022)
|Ext.
Reported Trait: Incident breast cancer OR: 0.96 [0.92, 1.0] Smoking status, alcohol consumption, weekly physical activity, dietary health measured by the alternative healthy eating index, and BMI
PPM015474 PGS000018
(metaGRS_CAD)
PSS009958|
European Ancestry|
21,863 individuals
PGP000372 |
Clarke SL et al. Commun Med (Lond) (2022)
|Ext.
Reported Trait: Coronary heart disease death HR: 1.29 [1.16, 1.43]
PPM015475 PGS000018
(metaGRS_CAD)
PSS009958|
European Ancestry|
21,863 individuals
PGP000372 |
Clarke SL et al. Commun Med (Lond) (2022)
|Ext.
Reported Trait: Death of unknown cause HR: 1.28 [1.07, 1.54]
PPM015452 PGS000018
(metaGRS_CAD)
PSS009958|
European Ancestry|
21,863 individuals
PGP000372 |
Clarke SL et al. Commun Med (Lond) (2022)
|Ext.
Reported Trait: Self-reported hypercholesterolemia OR: 1.17 [1.12, 1.23]
PPM015453 PGS000018
(metaGRS_CAD)
PSS009958|
European Ancestry|
21,863 individuals
PGP000372 |
Clarke SL et al. Commun Med (Lond) (2022)
|Ext.
Reported Trait: Self-reported rheumatoid arthritis OR: 1.11 [1.03, 1.19]
PPM015460 PGS000018
(metaGRS_CAD)
PSS009958|
European Ancestry|
21,863 individuals
PGP000372 |
Clarke SL et al. Commun Med (Lond) (2022)
|Ext.
Reported Trait: Incident coronary revascularization OR: 1.54 [1.45, 1.63] Smoking status, self-reported diabetes at baseline, systolic blood pressure, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol
PPM015502 PGS000018
(metaGRS_CAD)
PSS009965|
European Ancestry|
836 individuals
PGP000378 |
Schoepf IC et al. Clin Infect Dis (2021)
|Ext.
Reported Trait: Coronary artery disease Odds Ratio (OR, fifth vs. first quintile): 3.17 [1.74, 5.79] Clinical risk factors
PPM015504 PGS000018
(metaGRS_CAD)
PSS009965|
European Ancestry|
836 individuals
PGP000378 |
Schoepf IC et al. Clin Infect Dis (2021)
|Ext.
Reported Trait: Coronary artery disease Odds Ratio (OR, fifth vs. first quintile): 3.67 [2.0, 6.73] Clinical risk factors, PRS_longetivity Combined as metaPRS
PPM015571 PGS000018
(metaGRS_CAD)
PSS009986|
Greater Middle Eastern Ancestry|
7,023 individuals
PGP000386 |
Saad M et al. Circ Genom Precis Med (2022)
|Ext.
Reported Trait: Coronary heart disease OR: 1.54 [1.43, 1.66] AUROC: 0.686 [0.667, 0.704]
PPM017084 PGS000018
(metaGRS_CAD)
PSS010120|
European Ancestry|
4,218 individuals
PGP000433 |
de La Harpe R et al. Eur J Prev Cardiol (2023)
|Ext.
Reported Trait: Atherosclerotic cardiovascular disease (incident and prevalent) OR: 1.36 [1.21, 1.52] AUROC: 0.772 [0.748, 0.796] sex, age
PPM017085 PGS000018
(metaGRS_CAD)
PSS010122|
European Ancestry|
4,218 individuals
PGP000433 |
de La Harpe R et al. Eur J Prev Cardiol (2023)
|Ext.
Reported Trait: Coronary heart disease (incident and prevalent) OR: 1.63 [1.45, 1.83] AUROC: 0.793 [0.77, 0.816] sex, age
PPM017086 PGS000018
(metaGRS_CAD)
PSS010119|
European Ancestry|
3,383 individuals
PGP000433 |
de La Harpe R et al. Eur J Prev Cardiol (2023)
|Ext.
Reported Trait: Incident atherosclerotic cardiovascular disease HR: 1.31 [1.13, 1.51] AUROC: 0.769 [0.734, 0.804]
C-index: 0.779 [0.746, 0.811]
sex, age, 10 principal components
PPM017087 PGS000018
(metaGRS_CAD)
PSS010121|
European Ancestry|
3,383 individuals
PGP000433 |
de La Harpe R et al. Eur J Prev Cardiol (2023)
|Ext.
Reported Trait: Incident coronary heart disease HR: 1.62 [1.43, 1.84] AUROC: 0.784 [0.757, 0.811]
C-index: 0.79 [0.764, 0.816]
sex, age, 10 principal components
PPM018467 PGS000018
(metaGRS_CAD)
PSS010981|
European Ancestry|
3,459 individuals
PGP000468 |
Hodel F et al. Elife (2023)
|Ext.
Reported Trait: Coronary heart disease HR: 1.32 [1.16, 1.51]
PPM000038 PGS000019
(GRS_CAD)
PSS000023|
European Ancestry|
725 individuals
PGP000009 |
Paquette M et al. J Clin Lipidol (2017)
Reported Trait: Coronary artery disease in familial hypercholesterolemia patients OR: 1.66 [1.06, 2.62] age, gender, prior statin use, smoking, diabetes, hypertension, BMI, LDL-C, HDL-C, TGs, Lp(a), and type of LDLR mutation Performance metrics are from Model 2 (adjusted for cardiovascular risk factors)
PPM000039 PGS000019
(GRS_CAD)
PSS000024|
European Ancestry|
725 individuals
PGP000009 |
Paquette M et al. J Clin Lipidol (2017)
Reported Trait: Coronary artery disease in familial hypercholesterolemia patients OR: 1.8 [1.14, 2.85] age, gender, prior statin use, smoking, diabetes, hypertension, BMI, LDL-C, HDL-C, TGs, Lp(a), and type of LDLR mutation Performance metrics are from Model 2 (adjusted for cardiovascular risk factors)
PPM000090 PGS000038
(PRS90)
PSS000057|
European Ancestry|
306,473 individuals
PGP000026 |
Rutten-Jacobs LC et al. BMJ (2018)
Reported Trait: Incident stroke HR (High [top 33%] vs. Low [bottom 33%] of genetic risk): 1.35 [1.21, 1.5] age, sex, 10 PCs of genetic ancestry, genotyping batch The best performing PRS (e.g. C+T thresholds) were selected based on this sample set, as well as being used for the evaluation.
PPM000092 PGS000038
(PRS90)
PSS000058|
European Ancestry|
395,393 individuals
PGP000027 |
Abraham G et al. Nat Commun (2019)
|Ext.
Reported Trait: Ischaemic stroke before age 75 HR: 1.13 [1.1, 1.17] Sex, genotyping chip, 10 PCs
PPM000091 PGS000039
(metaGRS_ischaemicstroke)
PSS000058|
European Ancestry|
395,393 individuals
PGP000027 |
Abraham G et al. Nat Commun (2019)
Reported Trait: Ischaemic stroke before age 75 HR: 1.26 [1.22, 1.31] C-index: 0.585 [0.574, 0.595] Sex, genotyping chip, 10 PCs
PPM002221 PGS000039
(metaGRS_ischaemicstroke)
PSS001082|
European Ancestry|
12,792 individuals
PGP000209 |
Neumann JT et al. Stroke (2021)
|Ext.
Reported Trait: Incident ischemic stroke HR: 1.41 [1.2, 1.65] AUROC: 0.685 [0.64, 0.73] Hazard Ratio (HR, top 33.3% vs bottom 33.3%): 1.74 [1.19, 2.56] Age, sex, smoking status (current or former versus never), systolic blood pressure, non-high-density lipoprotein cholesterol, high-density lipoprotein cholesterol, body mass index, alcohol consumption (current versus former or never consumption), family history of stroke (event occuring before the age of 50 in a first-degree relative), diabetes, randomization to aspirin Only 3,219,276 SNPs from PGS000039 were utilised due to variant identifier mismatch. Only 12,405 individuals (171 cases) were used due to missing values. For AUROC values this was 11,385 individuals (158 cases).
PPM002222 PGS000039
(metaGRS_ischaemicstroke)
PSS001082|
European Ancestry|
12,792 individuals
PGP000209 |
Neumann JT et al. Stroke (2021)
|Ext.
Reported Trait: Incident ischemic stroke Net reclassification index (NRI): 0.252 [0.175, 0.434] Age, sex, smoking status (current or former versus never), systolic blood pressure, non-high-density lipoprotein cholesterol, high-density lipoprotein cholesterol, body mass index, alcohol consumption (current versus former or never consumption), family history of stroke (event occuring before the age of 50 in a first-degree relative), diabetes, randomization to aspirin Only 3,219,276 SNPs from PGS000039 were utilised due to variant identifier mismatch. Only 11,385 individuals (158 cases) were used.
PPM002223 PGS000039
(metaGRS_ischaemicstroke)
PSS001082|
European Ancestry|
12,792 individuals
PGP000209 |
Neumann JT et al. Stroke (2021)
|Ext.
Reported Trait: Incident ischemic stroke HR: 1.43 [1.22, 1.68] Age, sex, smoking status (current or former versus never), systolic blood pressure, non-high-density lipoprotein cholesterol, high-density lipoprotein cholesterol, body mass index, alcohol consumption (current versus former or never consumption), family history of stroke (event occuring before the age of 50 in a first-degree relative), diabetes, randomization to aspirin, PCs(1-10) Only 3,219,276 SNPs from PGS000039 were utilised due to variant identifier mismatch. Only 12,405 individuals (171 cases) were used due to missing values.
PPM002224 PGS000039
(metaGRS_ischaemicstroke)
PSS001082|
European Ancestry|
12,792 individuals
PGP000209 |
Neumann JT et al. Stroke (2021)
|Ext.
Reported Trait: Incident ischemic stroke HR: 1.43 [1.22, 1.68] Age, sex, smoking status (current or former versus never), systolic blood pressure, non-high-density lipoprotein cholesterol, high-density lipoprotein cholesterol, body mass index, alcohol consumption (current versus former or never consumption), family history of stroke (event occuring before the age of 50 in a first-degree relative), diabetes, randomization to aspirin, intake of antihypertensive drugs, intake of statin Only 3,219,276 SNPs from PGS000039 were utilised due to variant identifier mismatch. Only 12,405 individuals (171 cases) were used due to missing values.
PPM002225 PGS000039
(metaGRS_ischaemicstroke)
PSS001082|
European Ancestry|
12,792 individuals
PGP000209 |
Neumann JT et al. Stroke (2021)
|Ext.
Reported Trait: Incident ischemic stroke HR: 1.41 [1.2, 1.66] Age, sex, smoking status (current or former versus never), systolic blood pressure, non-high-density lipoprotein cholesterol, high-density lipoprotein cholesterol, body mass index, alcohol consumption (current versus former or never consumption), family history of stroke (event occuring before the age of 50 in a first-degree relative), diabetes, randomization to aspirin, index of relative socio-economic advantage and disadvantage(1-10) Only 3,219,276 SNPs from PGS000039 were utilised due to variant identifier mismatch. Only 12,405 individuals (171 cases) were used due to missing values.
PPM002226 PGS000039
(metaGRS_ischaemicstroke)
PSS001082|
European Ancestry|
12,792 individuals
PGP000209 |
Neumann JT et al. Stroke (2021)
|Ext.
Reported Trait: Incident ischemic stroke HR: 1.4 [1.2, 1.64] Age, sex, systolic blood pressure, non-high-density lipoprotein cholesterol, high-density lipoprotein cholesterol, alcohol consumption (current versus former or never consumption) Only 3,219,276 SNPs from PGS000039 were utilised due to variant identifier mismatch. Only 12,405 individuals (171 cases) were used due to missing values.
PPM002227 PGS000039
(metaGRS_ischaemicstroke)
PSS001082|
European Ancestry|
12,792 individuals
PGP000209 |
Neumann JT et al. Stroke (2021)
|Ext.
Reported Trait: Incident ischemic stroke AUROC: 0.582 [0.537, 0.628] Only 3,219,276 SNPs from PGS000039 were utilised due to variant identifier mismatch. For AUROC values only 11,385 individuals (158 cases) were used.
PPM002228 PGS000039
(metaGRS_ischaemicstroke)
PSS001082|
European Ancestry|
12,792 individuals
PGP000209 |
Neumann JT et al. Stroke (2021)
|Ext.
Reported Trait: Incident large vessel ischemic stroke HR: 1.43 [1.05, 1.94] Age, sex, smoking status (current or former versus never), systolic blood pressure, non-high-density lipoprotein cholesterol, high-density lipoprotein cholesterol, body mass index, alcohol consumption (current versus former or never consumption), family history of stroke (event occuring before the age of 50 in a first-degree relative), diabetes, randomization to aspirin Only 3,219,276 SNPs from PGS000039 were utilised due to variant identifier mismatch.
PPM002229 PGS000039
(metaGRS_ischaemicstroke)
PSS001082|
European Ancestry|
12,792 individuals
PGP000209 |
Neumann JT et al. Stroke (2021)
|Ext.
Reported Trait: Incident cardiometabolic ischemic stroke HR: 1.74 [1.24, 2.43] Age, sex, smoking status (current or former versus never), systolic blood pressure, non-high-density lipoprotein cholesterol, high-density lipoprotein cholesterol, body mass index, alcohol consumption (current versus former or never consumption), family history of stroke (event occuring before the age of 50 in a first-degree relative), diabetes, randomization to aspirin Only 3,219,276 SNPs from PGS000039 were utilised due to variant identifier mismatch.
PPM012987 PGS000039
(metaGRS_ischaemicstroke)
PSS009641|
European Ancestry|
3,071 individuals
PGP000315 |
Hämmerle M et al. Stroke (2022)
|Ext.
Reported Trait: Stroke Odds ratio (OR, top 1% vs. rest): 5.82 [2.08, 14.0] Age, sex, BMI, hypertension, cholesterol, diabetes, smoker
PPM014737 PGS000039
(metaGRS_ischaemicstroke)
PSS009879|
European Ancestry|
403,489 individuals
PGP000333 |
Mishra A et al. Nature (2022)
|Ext.
Reported Trait: incident ischemic stroke cases HR: 1.13 [1.1, 1.15] C-index: 0.64 ∆C-index (improvement in C-index over covariates-only model): 0.006 age, sex, 5 PCs
PPM014739 PGS000039
(metaGRS_ischaemicstroke)
PSS009876|
European Ancestry|
51,288 individuals
PGP000333 |
Mishra A et al. Nature (2022)
|Ext.
Reported Trait: incident ischemic stroke cases HR: 1.14 [1.06, 1.21] C-index: 0.641 ∆C-index (improvement in C-index over covariates-only model): 0.006 age, sex, 5 PCs
PPM014741 PGS000039
(metaGRS_ischaemicstroke)
PSS009878|
African Ancestry|
107,343 individuals
PGP000333 |
Mishra A et al. Nature (2022)
|Ext.
Reported Trait: incident ischemic stroke cases HR: 1.09 [1.04, 1.14] C-index: 0.652 ∆C-index (improvement in C-index over covariates-only model): 0.002 age, sex, 5 PCs
PPM014748 PGS000039
(metaGRS_ischaemicstroke)
PSS009881|
East Asian Ancestry|
87,682 individuals
PGP000333 |
Mishra A et al. Nature (2022)
|Ext.
Reported Trait: prevalent ischemic stroke cases OR: 1.1 [1.04, 1.16] AUROC: 0.763 ∆AUROC (improvement in AUROC over covariates-only model): 0.001 age, sex, 5 PCs
PPM014735 PGS000039
(metaGRS_ischaemicstroke)
PSS009877|
European Ancestry|
102,099 individuals
PGP000333 |
Mishra A et al. Nature (2022)
|Ext.
Reported Trait: incident ischemic stroke cases HR: 1.19 [1.12, 1.26] C-index: 0.618 ∆C-index (improvement in C-index over covariates-only model): 0.014 age, sex, 5 PCs
PPM014743 PGS000039
(metaGRS_ischaemicstroke)
PSS009880|
African Ancestry|
3,434 individuals
PGP000333 |
Mishra A et al. Nature (2022)
|Ext.
Reported Trait: prevalent ischemic stroke cases OR: 1.07 [1.0, 1.15] AUROC: 0.547 ∆AUROC (improvement in AUROC over covariates-only model): 0.006 age, sex, 5 PCs
PPM014746 PGS000039
(metaGRS_ischaemicstroke)
PSS009875|
East Asian Ancestry|
41,929 individuals
PGP000333 |
Mishra A et al. Nature (2022)
|Ext.
Reported Trait: prevalent ischemic stroke cases OR: 1.17 [1.11, 1.23] AUROC: 0.641 ∆AUROC (improvement in AUROC over covariates-only model): 0.007 age, sex, 5 PCs
PPM016151 PGS000039
(metaGRS_ischaemicstroke)
PSS010050|
Ancestry Not Reported|
454,756 individuals
PGP000401 |
Cho BPH et al. JAMA Neurol (2022)
|Ext.
Reported Trait: Stroke HR: 1.23 [1.2, 1.26] age, sex, ethnicity, exome sequencing batch, and the first 10 principal components of genetic ancestry
PPM001639 PGS000043
(PRS_VTE)
PSS000850|
European Ancestry|
715 individuals
PGP000133 |
Naito T et al. Gastroenterology (2020)
|Ext.
Reported Trait: Thromboembolic disease event in individuals with inflammatory bowel disease Odds Ratio (OR, top 5% vs. remaining 95%): 2.7 [1.03, 7.09] Age at last visit, PCs(1-2) Included 265/297 variants from the original score
PPM000102 PGS000043
(PRS_VTE)
PSS000066|
European Ancestry|
55,965 individuals
PGP000030 |
Klarin D et al. Nat Genet (2019)
Reported Trait: Venous thromboembolism OR (top 5% of individuals with the highest PRS_VTE relative to the rest of the population): 2.89 [2.52, 3.3] age, sex, 5 PCs of ancestry
PPM000103 PGS000043
(PRS_VTE)
PSS000067|
European Ancestry|
10,975 individuals
PGP000030 |
Klarin D et al. Nat Genet (2019)
Reported Trait: Venous thromboembolism HR (top 5% of individuals with the highest PRS_VTE relative to the rest of the population): 2.51 [1.97, 3.19] age, 10 PCs of ancestry, hormone therapy intervention status
PPM001640 PGS000043
(PRS_VTE)
PSS000850|
European Ancestry|
715 individuals
PGP000133 |
Naito T et al. Gastroenterology (2020)
|Ext.
Reported Trait: Thromboembolic disease event in individuals with inflammatory bowel disease Odds Ratio (OR, top 5% vs. remaining 95%): 3.13 [1.37, 7.18] Disease duration, age at disease onset, PCs(1-2) Included 265/297 variants from the original score
PPM001641 PGS000043
(PRS_VTE)
PSS000850|
European Ancestry|
715 individuals
PGP000133 |
Naito T et al. Gastroenterology (2020)
|Ext.
Reported Trait: Thromboembolic disease event in in individuals of inflammatory bowel disease that are carriers of at least 1 thrombophillia pathogenic variant Odds Ratio (OR, top 5% vs. remaining 95%): 8.56 [1.76, 41.57] Age at last visit, PCs(1-2) Included 265/297 variants from the original score
PPM001939 PGS000043
(PRS_VTE)
PSS000973|
European Ancestry|
29,663 individuals
PGP000166 |
Marston NA et al. Circ Genom Precis Med (2021)
|Ext.
Reported Trait: Venous Thromboembolism HR: 1.47 [1.29, 1.68] Hazard Ratio (HR, top tertile vs bottom tertile): 2.7 [1.8, 4.06] Age, sex, PCs(1-5), obesity(BMI≥30), active smoking, history of heart failure, diabetes status. 273 of original 297 SNPs from Klarin et al (PGS000043) used that reached minimum imputation of 0.58.
PPM001940 PGS000043
(PRS_VTE)
PSS000973|
European Ancestry|
29,663 individuals
PGP000166 |
Marston NA et al. Circ Genom Precis Med (2021)
|Ext.
Reported Trait: Venous Thromboembolism Hazard Ratio (HR, middle tertile vs bottom 3.33%): 1.88 [1.23, 2.89] Age, sex, PCs(1-5), obesity(BMI≥30), active smoking, history of heart failure, diabetes status. 273 of original 297 SNPs from Klarin et al (PGS000043) used that reached minimum imputation of 0.58.
PPM001941 PGS000043
(PRS_VTE)
PSS000973|
European Ancestry|
29,663 individuals
PGP000166 |
Marston NA et al. Circ Genom Precis Med (2021)
|Ext.
Reported Trait: Venous Thromboembolism C-index: 0.67 [0.63, 0.71] 273 of original 297 SNPs from Klarin et al (PGS000043) used that reached minimum imputation of 0.58.
PPM001942 PGS000043
(PRS_VTE)
PSS000973|
European Ancestry|
29,663 individuals
PGP000166 |
Marston NA et al. Circ Genom Precis Med (2021)
|Ext.
Reported Trait: Venous Thromboembolism C-index: 0.67 [0.63, 0.71] Age, obesity(BMI≥30), active smoking, history of heart failure, diabetes status. 273 of original 297 SNPs from Klarin et al (PGS000043) used that reached minimum imputation of 0.58.
PPM001943 PGS000043
(PRS_VTE)
PSS000973|
European Ancestry|
29,663 individuals
PGP000166 |
Marston NA et al. Circ Genom Precis Med (2021)
|Ext.
Reported Trait: Venous Thromboembolism in individuals without monogenic mutations HR: 1.53 [1.3, 1.82] Hazard Ratio (HR, top tertile vs. bottom tertile): 2.88 [1.85, 4.49] Age, sex, PCs(1-5), obesity(BMI≥30), active smoking, history of heart failure, diabetes status. 273 of original 297 SNPs from Klarin et al (PGS000043) used that reached minimum imputation of 0.58.
PPM001944 PGS000043
(PRS_VTE)
PSS000973|
European Ancestry|
29,663 individuals
PGP000166 |
Marston NA et al. Circ Genom Precis Med (2021)
|Ext.
Reported Trait: Venous Thromboembolism in individuals without monogenic mutations Hazard Ratio (HR, middle tertile vs. bottom tertile): 2.11 [1.34, 3.33] Age, sex, PCs(1-5), obesity(BMI≥30), active smoking, history of heart failure, diabetes status. 273 of original 297 SNPs from Klarin et al (PGS000043) used that reached minimum imputation of 0.58.
PPM014990 PGS000043
(PRS_VTE)
PSS009948|
Multi-ancestry (including European)|
615,967 individuals
PGP000369 |
Jaworek T et al. Neurology (2022)
|Ext.
Reported Trait: Early onset stroke OR: 1.13 [1.1, 1.16] 10 principal components for ancestry and sex
PPM014991 PGS000043
(PRS_VTE)
PSS009948|
Multi-ancestry (including European)|
615,967 individuals
PGP000369 |
Jaworek T et al. Neurology (2022)
|Ext.
Reported Trait: Late onset stroke OR: 1.04 [1.01, 1.08] 10 principal components for ancestry and sex
PPM000144 PGS000057
(CHD57)
PSS000091|
Ancestry Not Reported|
2,440 individuals
PGP000042 |
Natarajan P et al. Circulation (2017)
Reported Trait: Coronary heart disease (incident) HR (highest vs. lowest quintile of PGS): 1.66 [1.21, 2.29] age, sex, diabetes meliitus status, smoking status, LDL cholesterol, HDL cholesterol, systolic blood pressure, antihypertensive medication status, family history of CHD
PPM000145 PGS000057
(CHD57)
PSS000090|
Ancestry Not Reported|
1,154 individuals
PGP000042 |
Natarajan P et al. Circulation (2017)
Reported Trait: Coronary artery calcification OR: 1.32 [1.04, 1.68] OR (highest vs. lowest quintile of PGS): 2.51 [1.08, 5.85] age, sex, diabetes meliitus status, smoking status, LDL cholesterol, HDL cholesterol, systolic blood pressure, antihypertensive medication status, family history of CHD
PPM000146 PGS000057
(CHD57)
PSS000089|
Ancestry Not Reported|
4,392 individuals
PGP000042 |
Natarajan P et al. Circulation (2017)
Reported Trait: Carotid artery plaque burden β: 1.097 [1.022, 1.178] age, sex, diabetes meliitus status, smoking status, LDL cholesterol, HDL cholesterol, systolic blood pressure, antihypertensive medication status, family history of CHD
PPM000147 PGS000058
(CAD_GRS_204)
PSS000092|
European Ancestry|
5,360 individuals
PGP000043 |
Morieri ML et al. Diabetes Care (2018)
Reported Trait: Major coronary events (MCE) events among Type 2 Diabetes patients HR: 1.27 [1.18, 1.37] age, sex, ACCORD study covariates (randomized treament assignement, clinical network, genotyping platform, PCs of genetic ancestry)
PPM000148 PGS000058
(CAD_GRS_204)
PSS000093|
European Ancestry|
1,931 individuals
PGP000043 |
Morieri ML et al. Diabetes Care (2018)
Reported Trait: Major coronary events (MCE) events among Type 2 Diabetes patients HR: 1.35 [1.16, 1.58] age, sex, ORIGIN study covariates (randomized treament assignement, PCs of genetic ancestry)
PPM000150 PGS000059
(CHD46)
PSS000094|
European Ancestry|
1,320 individuals
PGP000044 |
Hajek C et al. Circ Genom Precis Med (2018)
Reported Trait: Incident coronary heart disease HR (top vs. bottom quartiles of GRS): 0.76 [0.41, 1.39]
p-value (association between risk and incidence): 0.31
NR
PPM000149 PGS000059
(CHD46)
PSS000095|
European Ancestry|
1,206 individuals
PGP000044 |
Hajek C et al. Circ Genom Precis Med (2018)
Reported Trait: Incident coronary heart disease HR (top vs. bottom quartiles of GRS): 1.92 [1.19, 3.11]
p-value (association between risk and incidence): 0.029
NR
PPM000836 PGS000116
(CAD_EJ2020)
PSS000401|
Multi-ancestry (including European)|
350,730 individuals
PGP000054 |
Elliott J et al. JAMA (2020)
Reported Trait: Incident coronary artery disease C-index: 0.74 [0.73, 0.75] QRISK3
PPM000837 PGS000116
(CAD_EJ2020)
PSS000389|
Multi-ancestry (including European)|
203,620 individuals
PGP000054 |
Elliott J et al. JAMA (2020)
Reported Trait: Incident coronary artery disease (over age 55) C-index: 0.75 [0.74, 0.76] QRISK3
PPM000838 PGS000116
(CAD_EJ2020)
PSS000385|
Multi-ancestry (including European)|
147,110 individuals
PGP000054 |
Elliott J et al. JAMA (2020)
Reported Trait: Incident coronary artery disease (under age 55) C-index: 0.83 [0.81, 0.84] QRISK3
PPM000839 PGS000116
(CAD_EJ2020)
PSS000393|
Multi-ancestry (including European)|
146,573 individuals
PGP000054 |
Elliott J et al. JAMA (2020)
Reported Trait: Incident coronary artery disease (in males) C-index: 0.73 [0.72, 0.74] QRISK3
PPM000840 PGS000116
(CAD_EJ2020)
PSS000397|
Multi-ancestry (including European)|
204,157 individuals
PGP000054 |
Elliott J et al. JAMA (2020)
Reported Trait: Incident coronary artery disease (in females) C-index: 0.78 [0.76, 0.79] QRISK3
PPM000807 PGS000116
(CAD_EJ2020)
PSS000399|
Multi-ancestry (including European)|
352,660 individuals
PGP000054 |
Elliott J et al. JAMA (2020)
Reported Trait: Incident coronary artery disease C-index: 0.76 [0.75, 0.76] age,sex
PPM000808 PGS000116
(CAD_EJ2020)
PSS000399|
Multi-ancestry (including European)|
352,660 individuals
PGP000054 |
Elliott J et al. JAMA (2020)
Reported Trait: Incident coronary artery disease C-index: 0.78 [0.77, 0.79] pooled cohort equations
PPM000810 PGS000116
(CAD_EJ2020)
PSS000387|
Multi-ancestry (including European)|
204,675 individuals
PGP000054 |
Elliott J et al. JAMA (2020)
Reported Trait: Incident coronary artery disease (over age 55) C-index: 0.71 [0.7, 0.72] age,sex
PPM000811 PGS000116
(CAD_EJ2020)
PSS000387|
Multi-ancestry (including European)|
204,675 individuals
PGP000054 |
Elliott J et al. JAMA (2020)
Reported Trait: Incident coronary artery disease (over age 55) C-index: 0.74 [0.73, 0.74] pooled cohort equations
PPM000813 PGS000116
(CAD_EJ2020)
PSS000383|
Multi-ancestry (including European)|
147,985 individuals
PGP000054 |
Elliott J et al. JAMA (2020)
Reported Trait: Incident coronary artery disease (under age 55) C-index: 0.76 [0.75, 0.78] age,sex
PPM000814 PGS000116
(CAD_EJ2020)
PSS000383|
Multi-ancestry (including European)|
147,985 individuals
PGP000054 |
Elliott J et al. JAMA (2020)
Reported Trait: Incident coronary artery disease (under age 55) C-index: 0.8 [0.79, 0.82] pooled cohort equations
PPM000816 PGS000116
(CAD_EJ2020)
PSS000391|
Multi-ancestry (including European)|
147,363 individuals
PGP000054 |
Elliott J et al. JAMA (2020)
Reported Trait: Incident coronary artery disease (in males) C-index: 0.68 [0.67, 0.69] age,sex
PPM000817 PGS000116
(CAD_EJ2020)
PSS000391|
Multi-ancestry (including European)|
147,363 individuals
PGP000054 |
Elliott J et al. JAMA (2020)
Reported Trait: Incident coronary artery disease (in males) C-index: 0.71 [0.7, 0.72] pooled cohort equations
PPM000819 PGS000116
(CAD_EJ2020)
PSS000395|
Multi-ancestry (including European)|
205,297 individuals
PGP000054 |
Elliott J et al. JAMA (2020)
Reported Trait: Incident coronary artery disease (in females) C-index: 0.71 [0.7, 0.73] age,sex
PPM000820 PGS000116
(CAD_EJ2020)
PSS000395|
Multi-ancestry (including European)|
205,297 individuals
PGP000054 |
Elliott J et al. JAMA (2020)
Reported Trait: Incident coronary artery disease (in females) C-index: 0.76 [0.74, 0.77] pooled cohort equations
PPM000806 PGS000116
(CAD_EJ2020)
PSS000399|
Multi-ancestry (including European)|
352,660 individuals
PGP000054 |
Elliott J et al. JAMA (2020)
Reported Trait: Incident coronary artery disease HR: 1.32 [1.3, 1.34] C-index: 0.61 [0.6, 0.62]
PPM000809 PGS000116
(CAD_EJ2020)
PSS000387|
Multi-ancestry (including European)|
204,675 individuals
PGP000054 |
Elliott J et al. JAMA (2020)
Reported Trait: Incident coronary artery disease (over age 55) C-index: 0.6 [0.59, 0.61]
PPM000812 PGS000116
(CAD_EJ2020)
PSS000383|
Multi-ancestry (including European)|
147,985 individuals
PGP000054 |
Elliott J et al. JAMA (2020)
Reported Trait: Incident coronary artery disease (under age 55) C-index: 0.64 [0.63, 0.66]
PPM000815 PGS000116
(CAD_EJ2020)
PSS000391|
Multi-ancestry (including European)|
147,363 individuals
PGP000054 |
Elliott J et al. JAMA (2020)
Reported Trait: Incident coronary artery disease (in males) C-index: 0.61 [0.6, 0.62]
PPM000818 PGS000116
(CAD_EJ2020)
PSS000395|
Multi-ancestry (including European)|
205,297 individuals
PGP000054 |
Elliott J et al. JAMA (2020)
Reported Trait: Incident coronary artery disease (in females) C-index: 0.61 [0.6, 0.63]
PPM017098 PGS000116
(CAD_EJ2020)
PSS010122|
European Ancestry|
4,218 individuals
PGP000433 |
de La Harpe R et al. Eur J Prev Cardiol (2023)
|Ext.
Reported Trait: Coronary heart disease (incident and prevalent) OR: 1.69 [1.5, 1.92] AUROC: 0.781 [0.575, 0.805] sex, age
PPM017099 PGS000116
(CAD_EJ2020)
PSS010121|
European Ancestry|
3,383 individuals
PGP000433 |
de La Harpe R et al. Eur J Prev Cardiol (2023)
|Ext.
Reported Trait: Incident coronary heart disease HR: 1.67 [1.46, 1.92] sex, age, 10 principal components
PPM000583 PGS000200
(GRS28)
PSS000330|
European Ancestry|
24,124 individuals
PGP000082 |
Tikkanen E et al. Arterioscler Thromb Vasc Biol (2013)
Reported Trait: Incident cardiovascular disease HR: 1.18 [1.12, 1.24] sex, total cholesterol, high-density lipoprotein–cholesterol, body mass index, systolic blood pressure, antihypertensive treatment, smoking, type 2 diabetes mellitus Age as timescale Cox regression
PPM000585 PGS000200
(GRS28)
PSS000328|
European Ancestry|
24,124 individuals
PGP000082 |
Tikkanen E et al. Arterioscler Thromb Vasc Biol (2013)
Reported Trait: Incident acute coronary syndrome HR: 1.27 [1.18, 1.37] sex, total cholesterol, high-density lipoprotein–cholesterol, body mass index, systolic blood pressure, antihypertensive treatment, smoking, type 2 diabetes mellitus Age as timescale Cox regression
PPM000617 PGS000200
(GRS28)
PSS000332|
African Ancestry|
7,070 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Incident coronary heart disease HR: 1.11 [0.99, 1.25] C-index: 0.706 sex, eMERGE site, diabetes, hypertension, hyperlipidemia, statin use, first 5 ancestry-specific principal components Age-as-time-scale Cox regression
PPM000613 PGS000200
(GRS28)
PSS000334|
European Ancestry|
39,758 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Incident coronary heart disease HR: 1.17 [1.12, 1.22] C-index: 0.735 sex, eMERGE site, diabetes, hypertension, hyperlipidemia, statin use, first 5 ancestry-specific principal components Age-as-time-scale Cox regression
PPM000621 PGS000200
(GRS28)
PSS000336|
Hispanic or Latin American Ancestry|
2,194 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Incident coronary heart disease HR: 1.13 [0.93, 1.37] C-index: 0.709 sex, eMERGE site, diabetes, hypertension, hyperlipidemia, statin use, first 5 ancestry-specific principal components Age-as-time-scale Cox regression
PPM000584 PGS000200
(GRS28)
PSS000329|
European Ancestry|
24,124 individuals
PGP000082 |
Tikkanen E et al. Arterioscler Thromb Vasc Biol (2013)
Reported Trait: Incident coronary heart disease HR: 1.27 [1.2, 1.35] sex, total cholesterol, high-density lipoprotein–cholesterol, body mass index, systolic blood pressure, antihypertensive treatment, smoking, type 2 diabetes mellitus Age as timescale Cox regression
PPM000607 PGS000200
(GRS28)
PSS000334|
European Ancestry|
39,758 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Incident coronary heart disease HR: 1.18 [1.13, 1.23] C-index: 0.697 sex, eMERGE site, first five ancestry-specific principal components
PPM000608 PGS000200
(GRS28)
PSS000332|
African Ancestry|
7,070 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Incident coronary heart disease HR: 1.11 [0.99, 1.24] C-index: 0.652 sex, eMERGE site, first five ancestry-specific principal components
PPM000612 PGS000200
(GRS28)
PSS000335|
Hispanic or Latin American Ancestry|
2,493 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Coronary heart disease (incident and prevalent) OR: 1.27 [1.12, 1.42] AUROC: 0.771 age at first EHR record, duration of EHR, sex, eMERGE site, first five ancestry-specific principal components
PPM000611 PGS000200
(GRS28)
PSS000331|
African Ancestry|
7,597 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Coronary heart disease (incident and prevalent) OR: 1.07 [0.99, 1.16] AUROC: 0.763 age at first EHR record, duration of EHR, sex, eMERGE site, first five ancestry-specific principal components
PPM000610 PGS000200
(GRS28)
PSS000333|
European Ancestry|
45,645 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Coronary heart disease (incident and prevalent) OR: 1.24 [1.21, 1.28] AUROC: 0.748 age at first EHR record, duration of EHR, sex, eMERGE site, first five ancestry-specific principal components
PPM000609 PGS000200
(GRS28)
PSS000336|
Hispanic or Latin American Ancestry|
2,194 individuals
PGP000083 |
Dikilitas O et al. Am J Hum Genet (2020)
|Ext.
Reported Trait: Incident coronary heart disease HR: 1.14 [0.94, 1.37] C-index: 0.655 sex, eMERGE site, first five ancestry-specific principal components
PPM000588 PGS000200
(GRS28)
PSS000328|
European Ancestry|
24,124 individuals
PGP000082 |
Tikkanen E et al. Arterioscler Thromb Vasc Biol (2013)
Reported Trait: Incident acute coronary syndrome C-index: 0.859 ΔC-index (over covariate only model): 0.004 [0.003, 0.005] sex, total cholesterol, high-density lipoprotein-cholesterol, body mass index, systolic blood pressure, antihypertensive treatment, smoking, type 2 diabetes mellitus, family history Age as timescale Cox regression
PPM000587 PGS000200
(GRS28)
PSS000329|
European Ancestry|
24,124 individuals
PGP000082 |
Tikkanen E et al. Arterioscler Thromb Vasc Biol (2013)
Reported Trait: Incident coronary heart disease C-index: 0.856 ΔC-index (over covariate only model): 0.005 [0.004, 0.006] sex, total cholesterol, high-density lipoprotein-cholesterol, body mass index, systolic blood pressure, antihypertensive treatment, smoking, type 2 diabetes mellitus, family history Age as timescale Cox regression
PPM000586 PGS000200
(GRS28)
PSS000330|
European Ancestry|
24,124 individuals
PGP000082 |
Tikkanen E et al. Arterioscler Thromb Vasc Biol (2013)
Reported Trait: Incident cardiovascular disease C-index: 0.84 ΔC-index (over covariate only model): 0.003 [0.002, 0.004] sex, total cholesterol, high-density lipoprotein-cholesterol, body mass index, systolic blood pressure, antihypertensive treatment, smoking, type 2 diabetes mellitus, family history Age as timescale Cox regression
PPM000743 PGS000296
(GPS_CAD_SA)
PSS000365|
South Asian Ancestry|
491 individuals
PGP000090 |
Wang M et al. J Am Coll Cardiol (2020)
Reported Trait: Myocardial infarction (first-ever) OR: 1.6 [1.32, 1.94] AUROC: 0.6632 age, sex, top 5 genetic PCs
PPM000745 PGS000296
(GPS_CAD_SA)
PSS000366|
South Asian Ancestry|
2,963 individuals
PGP000090 |
Wang M et al. J Am Coll Cardiol (2020)
Reported Trait: Coronary artery disease OR: 1.66 [1.53, 1.81] AUROC: 0.712 age, sex, top 5 genetic PCs
PPM000746 PGS000296
(GPS_CAD_SA)
PSS000366|
South Asian Ancestry|
2,963 individuals
PGP000090 |
Wang M et al. J Am Coll Cardiol (2020)
Reported Trait: Coronary artery disease OR: 1.58 [1.42, 1.75] age, sex, top 5 genetic PCs, diabetes, hypertension, hypercholesterolemia, smoking, body mass index
PPM000744 PGS000296
(GPS_CAD_SA)
PSS000365|
South Asian Ancestry|
491 individuals
PGP000090 |
Wang M et al. J Am Coll Cardiol (2020)
Reported Trait: Myocardial infarction (first-ever) OR: 1.51 [1.22, 1.88] age, sex, top 5 genetic PCs, diabetes, hypertension, hypercholesterolemia, family history of heart disease, current smoking, family history of myocardial infarction
PPM015570 PGS000296
(GPS_CAD_SA)
PSS009986|
Greater Middle Eastern Ancestry|
7,023 individuals
PGP000386 |
Saad M et al. Circ Genom Precis Med (2022)
|Ext.
Reported Trait: Coronary heart disease OR: 1.53 [1.42, 1.64] AUROC: 0.683 [0.665, 0.701]
PPM000896 PGS000329
(PRS_CHD)
PSS000440|
European Ancestry|
20,165 individuals
PGP000100 |
Mars N et al. Nat Med (2020)
Reported Trait: Incident coronary heart disease C-index: 0.82 ASCVD risk calculator(age, sex, total cholesterol, HDL, SBP, blood-pressure-lowering medication, diabetes and smoking status), FINRISK cohort, genotyping array/batch, 10 ancestry PCs 10-year risk
PPM000891 PGS000329
(PRS_CHD)
PSS000440|
European Ancestry|
20,165 individuals
PGP000100 |
Mars N et al. Nat Med (2020)
Reported Trait: Incident coronary heart disease HR: 1.25 [1.18, 1.32] C-index: 0.832 age, sex, FINRISK cohort, genotyping array/batch, 10 ancestry PCs 10-year risk
PPM000886 PGS000329
(PRS_CHD)
PSS000445|
European Ancestry|
135,300 individuals
PGP000100 |
Mars N et al. Nat Med (2020)
Reported Trait: Coronary heart disease (incident and prevalent cases) HR: 1.31 [1.29, 1.33] genotyping array/batch, 10 ancestry PCs, stratified by sex
PPM017092 PGS000329
(PRS_CHD)
PSS010120|
European Ancestry|
4,218 individuals
PGP000433 |
de La Harpe R et al. Eur J Prev Cardiol (2023)
|Ext.
Reported Trait: Atherosclerotic cardiovascular disease (incident and prevalent) OR: 1.33 [1.2, 1.49] AUROC: 0.765 [0.74, 0.79] sex, age
PPM017093 PGS000329
(PRS_CHD)
PSS010122|
European Ancestry|
4,218 individuals
PGP000433 |
de La Harpe R et al. Eur J Prev Cardiol (2023)
|Ext.
Reported Trait: Coronary heart disease (incident and prevalent) OR: 1.59 [1.42, 1.77] AUROC: 0.779 [0.756, 0.803] sex, age
PPM017094 PGS000329
(PRS_CHD)
PSS010119|
European Ancestry|
3,383 individuals
PGP000433 |
de La Harpe R et al. Eur J Prev Cardiol (2023)
|Ext.
Reported Trait: Incident atherosclerotic cardiovascular disease HR: 1.29 [1.12, 1.47] sex, age, 10 principal components
PPM017095 PGS000329
(PRS_CHD)
PSS010121|
European Ancestry|
3,383 individuals
PGP000433 |
de La Harpe R et al. Eur J Prev Cardiol (2023)
|Ext.
Reported Trait: Incident coronary heart disease HR: 1.57 [1.4, 1.77] sex, age, 10 principal components
PPM000909 PGS000337
(MetaPRS_CAD)
PSS000456|
East Asian Ancestry|
49,230 individuals
PGP000104 |
Koyama S et al. Nat Genet (2020)
Reported Trait: Mortality (diseases of the circulatory system) HR: 1.10351 [1.057, 1.152] Sex, age, age^2, PCs (1-10), disease status
PPM000908 PGS000337
(MetaPRS_CAD)
PSS000454|
East Asian Ancestry|
49,230 individuals
PGP000104 |
Koyama S et al. Nat Genet (2020)
Reported Trait: All-cause Mortality HR: 1.03159 [1.011, 1.052] Sex, age, age^2, PCs (1-10), disease status
PPM000911 PGS000337
(MetaPRS_CAD)
PSS000457|
East Asian Ancestry|
49,230 individuals
PGP000104 |
Koyama S et al. Nat Genet (2020)
Reported Trait: Mortality (ischemic heart disease) HR: 1.2158 [1.109, 1.333] Sex, age, age^2, PCs (1-10), disease status
PPM000912 PGS000337
(MetaPRS_CAD)
PSS000455|
East Asian Ancestry|
49,230 individuals
PGP000104 |
Koyama S et al. Nat Genet (2020)
Reported Trait: Mortality (congestive heart failure) HR: 1.15604 [1.042, 1.2283] Sex, age, age^2, PCs (1-10), disease status
PPM000910 PGS000337
(MetaPRS_CAD)
PSS000458|
East Asian Ancestry|
49,230 individuals
PGP000104 |
Koyama S et al. Nat Genet (2020)
Reported Trait: Mortality (diseases of the respiratory system) HR: 1.07133 [1.012, 1.134] Sex, age, age^2, PCs (1-10), disease status
PPM000907 PGS000337
(MetaPRS_CAD)
PSS000459|
East Asian Ancestry|
10,999 individuals
PGP000104 |
Koyama S et al. Nat Genet (2020)
Reported Trait: Coronary artery disease OR: 1.84 [1.744, 1.943] AUROC: 0.674 [0.661, 0.687] : 0.087 [0.074, 0.101]
PPM015569 PGS000337
(MetaPRS_CAD)
PSS009986|
Greater Middle Eastern Ancestry|
7,023 individuals
PGP000386 |
Saad M et al. Circ Genom Precis Med (2022)
|Ext.
Reported Trait: Coronary heart disease OR: 1.81 [1.66, 1.98] AUROC: 0.667 [0.649, 0.685]
PPM000996 PGS000349
(PRS70_CAD)
PSS000508|
European Ancestry|
3,748 individuals
PGP000114 |
Pechlivanis S et al. BMC Med Genet (2020)
Reported Trait: Coronary artery calcification OR: 1.19 [1.1, 1.29] age, sex, cardiovascular risk factors (systolic blood pressure, antihypertensive medication, smoking, LDL-cholestrol, HDL-cholesterol, lipid lowering medication, BMI and diabetes).
PPM000995 PGS000349
(PRS70_CAD)
PSS000505|
European Ancestry|
4,041 individuals
PGP000114 |
Pechlivanis S et al. BMC Med Genet (2020)
Reported Trait: Coronary artery calcification OR: 1.18 [1.1, 1.27] age, sex, cardiovascular risk factors (systolic blood pressure, antihypertensive medication, smoking, LDL-cholestrol, HDL-cholesterol, lipid lowering medication, BMI and diabetes).
PPM000993 PGS000349
(PRS70_CAD)
PSS000509|
European Ancestry|
2,560 individuals
PGP000114 |
Pechlivanis S et al. BMC Med Genet (2020)
Reported Trait: Incident Coronary Heart Disease in indiviuals with coronary artery calcification > 0 HR: 1.21 [1.08, 1.36] age, sex, cardiovascular risk factors (systolic blood pressure, antihypertensive medication, smoking, LDL-cholestrol, HDL-cholesterol, lipid lowering medication, BMI and diabetes).
PPM000992 PGS000349
(PRS70_CAD)
PSS000510|
European Ancestry|
1,765 individuals
PGP000114 |
Pechlivanis S et al. BMC Med Genet (2020)
Reported Trait: Incident Coronary Heart Disease in males HR: 1.23 [1.07, 1.41] age, cardiovascular risk factors (systolic blood pressure, antihypertensive medication, smoking, LDL-cholestrol, HDL-cholesterol, lipid lowering medication, BMI and diabetes) and coronary artery calcification.
PPM000991 PGS000349
(PRS70_CAD)
PSS000506|
European Ancestry|
1,919 individuals
PGP000114 |
Pechlivanis S et al. BMC Med Genet (2020)
Reported Trait: Incident Coronary Heart Disease in males HR: 1.25 [1.1, 1.42] age
PPM000990 PGS000349
(PRS70_CAD)
PSS000507|
European Ancestry|
3,748 individuals
PGP000114 |
Pechlivanis S et al. BMC Med Genet (2020)
Reported Trait: Incident Coronary Heart Disease HR: 1.18 [1.06, 1.31] age, sex, cardiovascular risk factors (systolic blood pressure, antihypertensive medication, smoking, LDL-cholestrol, HDL-cholesterol, lipid lowering medication, BMI and diabetes) and coronary artery calcification.
PPM000989 PGS000349
(PRS70_CAD)
PSS000504|
European Ancestry|
4,041 individuals
PGP000114 |
Pechlivanis S et al. BMC Med Genet (2020)
Reported Trait: Incident Coronary Heart Disease HR: 1.18 [1.06, 1.31] age, sex
PPM000994 PGS000349
(PRS70_CAD)
PSS000511|
European Ancestry|
1,426 individuals
PGP000114 |
Pechlivanis S et al. BMC Med Genet (2020)
Reported Trait: Incident Coronary Heart Disease in males with coronary artery calcification > 0 HR: 1.26 [1.09, 1.46] age, cardiovascular risk factors (systolic blood pressure, antihypertensive medication, smoking, LDL-cholestrol, HDL-cholesterol, lipid lowering medication, BMI and diabetes).
PPM001373 PGS000665
(GRS_32)
PSS000602|
European Ancestry|
51,288 individuals
PGP000125 |
Marston NA et al. Circulation (2020)
Reported Trait: Incident ischemic stroke Hazard Ratio (HR, top vs. bottom tertile): 1.24 [1.05, 1.45]
Hazard Ratio (HR, intermediate vs. bottom tertile): 1.15 [0.98, 1.36]
age, sex, PCs(1-5), hypertension, hyperlipidemia, diabetes mellitus, smoking, bascular disease, congestive heart failure, atrial fibrillation
PPM001374 PGS000665
(GRS_32)
PSS000602|
European Ancestry|
51,288 individuals
PGP000125 |
Marston NA et al. Circulation (2020)
Reported Trait: Incident ischemic stroke C-index: 0.65 [0.63, 0.66] Clinical variables from the Revised Framingham Stroke Risk score, geographic region
PPM001375 PGS000665
(GRS_32)
PSS000601|
European Ancestry|
11,187 individuals
PGP000125 |
Marston NA et al. Circulation (2020)
Reported Trait: Incident ischemic stroke in individuals with atrial fibrillation Hazard Ratio (HR, top vs. bottom tertile): 1.29 [1.01, 1.64] age, sex, PCs(1-5), hypertension, hyperlipidemia, diabetes mellitus, smoking, bascular disease, congestive heart failure, atrial fibrillation, components of CHA2DS2-VASc score
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)
PPM001836 PGS000746
(PRS_UKB)
PSS000931|
European Ancestry|
431,814 individuals
PGP000152 |
Gola D et al. Circ Genom Precis Med (2020)
Reported Trait: Coronary artery disease AUROC: 0.6133 [0.6094, 0.6172] Area under the Precision-Recall curve (AUPRC): 0.0752 [0.0745, 0.076]
PPM001834 PGS000746
(PRS_UKB)
PSS000929|
European Ancestry|
5,581 individuals
PGP000152 |
Gola D et al. Circ Genom Precis Med (2020)
Reported Trait: Coronary artery disease AUROC: 0.5143 [0.4992, 0.5294] Area under the Precision-Recall curve (AUPRC): 0.5607 [0.5593, 0.5621]
PPM001835 PGS000746
(PRS_UKB)
PSS000930|
European Ancestry|
27,048 individuals
PGP000152 |
Gola D et al. Circ Genom Precis Med (2020)
Reported Trait: Coronary artery disease AUROC: 0.6049 [0.5857, 0.6241] Area under the Precision-Recall curve (AUPRC): 0.046 [0.0454, 0.0466]
PPM001839 PGS000747
(PRS_EB)
PSS000931|
European Ancestry|
431,814 individuals
PGP000152 |
Gola D et al. Circ Genom Precis Med (2020)
Reported Trait: Coronary artery disease AUROC: 0.6043 [0.6004, 0.6082] Area under the Precision-Recall curve (AUPRC): 0.0712 [0.0703, 0.076]
PPM001837 PGS000747
(PRS_EB)
PSS000929|
European Ancestry|
5,581 individuals
PGP000152 |
Gola D et al. Circ Genom Precis Med (2020)
Reported Trait: Coronary artery disease AUROC: 0.5407 [0.5253, 0.5561] Area under the Precision-Recall curve (AUPRC): 0.498 [0.4962, 0.4998]
PPM001838 PGS000747
(PRS_EB)
PSS000930|
European Ancestry|
27,048 individuals
PGP000152 |
Gola D et al. Circ Genom Precis Med (2020)
Reported Trait: Coronary artery disease AUROC: 0.6565 [0.6369, 0.676] Area under the Precision-Recall curve (AUPRC): 0.0765 [0.0755, 0.0774]
PPM001841 PGS000748
(PRS_DE)
PSS000930|
European Ancestry|
27,048 individuals
PGP000152 |
Gola D et al. Circ Genom Precis Med (2020)
Reported Trait: Coronary artery disease AUROC: 0.6156 [0.5963, 0.6349] Area under the Precision-Recall curve (AUPRC): 0.0506 [0.0504, 0.0508]
PPM001842 PGS000748
(PRS_DE)
PSS000931|
European Ancestry|
431,814 individuals
PGP000152 |
Gola D et al. Circ Genom Precis Med (2020)
Reported Trait: Coronary artery disease AUROC: 0.5989 [0.595, 0.6028] Area under the Precision-Recall curve (AUPRC): 0.0696 [0.0694, 0.0698]
PPM001840 PGS000748
(PRS_DE)
PSS000929|
European Ancestry|
5,581 individuals
PGP000152 |
Gola D et al. Circ Genom Precis Med (2020)
Reported Trait: Coronary artery disease AUROC: 0.6752 [0.6612, 0.6891] Area under the Precision-Recall curve (AUPRC): 0.6891 [0.6887, 0.6895]
PPM001843 PGS000749
(PRS_COMBINED)
PSS000930|
European Ancestry|
27,048 individuals
PGP000152 |
Gola D et al. Circ Genom Precis Med (2020)
Reported Trait: Coronary artery disease AUROC: 0.6112 [0.5919, 0.6305] Area under the Precision-Recall curve (AUPRC): 0.048 [0.0473, 0.0487]
PPM001844 PGS000749
(PRS_COMBINED)
PSS000931|
European Ancestry|
431,814 individuals
PGP000152 |
Gola D et al. Circ Genom Precis Med (2020)
Reported Trait: Coronary artery disease AUROC: 0.5988 [0.5949, 0.6027] Area under the Precision-Recall curve (AUPRC): 0.0697 [0.0688, 0.0705]
PPM015572 PGS000749
(PRS_COMBINED)
PSS009986|
Greater Middle Eastern Ancestry|
7,023 individuals
PGP000386 |
Saad M et al. Circ Genom Precis Med (2022)
|Ext.
Reported Trait: Coronary heart disease OR: 1.66 [1.51, 1.82] AUROC: 0.645 [0.627, 0.663]
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
PPM002180 PGS000818
(GRS_Metabo)
PSS001064|
European Ancestry|
1,939 individuals
PGP000202 |
Bauer A et al. Genet Epidemiol (2021)
Reported Trait: Incident coronary heart disease HR: 1.2341 [1.1137, 1.3676]
PPM002181 PGS000818
(GRS_Metabo)
PSS001064|
European Ancestry|
1,939 individuals
PGP000202 |
Bauer A et al. Genet Epidemiol (2021)
Reported Trait: Incident coronary heart disease HR: 1.2126 [1.0766, 1.3659] Age, sex, survey
PPM002178 PGS000818
(GRS_Metabo)
PSS001063|
European Ancestry|
2,909 individuals
PGP000202 |
Bauer A et al. Genet Epidemiol (2021)
Reported Trait: Incident coronary heart disease C-index: 0.7571 [0.7234, 0.7908] Age, sex, survey
PPM002179 PGS000818
(GRS_Metabo)
PSS001063|
European Ancestry|
2,909 individuals
PGP000202 |
Bauer A et al. Genet Epidemiol (2021)
Reported Trait: Incident coronary heart disease