| Experimental Factor Ontology (EFO) Information | |
| Identifier | EFO_0000319 |
| Description | A disease involving the cardiovascular system. | Trait category |
Cardiovascular disease
|
| Synonyms |
76 synonyms
|
| Mapped terms |
26 mapped terms
|
| Child trait(s) |
32 child traits
|
| Polygenic Score ID & Name | PGS Publication ID (PGP) | Reported Trait | Mapped Trait(s) (Ontology) | Number of Variants | Ancestry distribution | Scoring File (FTP Link) |
|---|---|---|---|---|---|---|
| PGS000010 (GRS27) |
PGP000003 | Mega JL et al. Lancet (2015) |
Coronary heart disease | coronary artery disease | 27 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000010/ScoringFiles/PGS000010.txt.gz |
| PGS000011 (GRS50) |
PGP000004 | Tada H et al. Eur Heart J (2015) |
Coronary artery disease | coronary artery disease | 50 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000011/ScoringFiles/PGS000011.txt.gz |
| PGS000012 (GRS49K) |
PGP000005 | Abraham G et al. Eur Heart J (2016) |
Coronary artery disease | coronary artery disease | 49,310 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000012/ScoringFiles/PGS000012.txt.gz | |
| PGS000013 (GPS_CAD) |
PGP000006 | Khera AV et al. Nat Genet (2018) |
Coronary artery disease | coronary artery disease | 6,630,150 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000013/ScoringFiles/PGS000013.txt.gz | |
| PGS000016 (GPS_AF) |
PGP000006 | Khera AV et al. Nat Genet (2018) |
Atrial fibrillation | atrial fibrillation | 6,730,541 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000016/ScoringFiles/PGS000016.txt.gz | |
| PGS000018 (metaGRS_CAD) |
PGP000007 | Inouye M et al. J Am Coll Cardiol (2018) |
Coronary artery disease | coronary artery disease | 1,745,179 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000018/ScoringFiles/PGS000018.txt.gz | |
| PGS000019 (GRS_CAD) |
PGP000009 | Paquette M et al. J Clin Lipidol (2017) |
Coronary artery disease | coronary artery disease | 192 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000019/ScoringFiles/PGS000019.txt.gz |
| PGS000035 (PRS_AF) |
PGP000022 | Weng LC et al. Circulation (2017) |
Atrial fibrillation | atrial fibrillation | 1,168 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000035/ScoringFiles/PGS000035.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) |
Ischaemic 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 | |
| PGS000117 (CVD_EJ2020) |
PGP000054 | Elliott J et al. JAMA (2020) |
Cardiovascular Disease | cardiovascular disease | 297,862 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000117/ScoringFiles/PGS000117.txt.gz | |
| PGS000200 (GRS28) |
PGP000082 | Tikkanen E et al. Arterioscler Thromb Vasc Biol (2013) |
Coronary heart disease | coronary artery disease | 28 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000200/ScoringFiles/PGS000200.txt.gz |
| PGS000296 (GPS_CAD_SA) |
PGP000090 | Wang M et al. J Am Coll Cardiol (2020) |
Coronary artery disease | coronary artery disease | 6,630,150 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000296/ScoringFiles/PGS000296.txt.gz | |
| PGS000329 (PRS_CHD) |
PGP000100 | Mars N et al. Nat Med (2020) |
Coronary heart disease | coronary artery disease | 6,423,165 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000329/ScoringFiles/PGS000329.txt.gz | |
| PGS000331 (PRS_AF) |
PGP000100 | Mars N et al. Nat Med (2020) |
Atrial fibrillation | atrial fibrillation | 6,183,494 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000331/ScoringFiles/PGS000331.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 |
| PGS000338 (GRS97_AF) |
PGP000105 | Kloosterman M et al. Eur J Heart Fail (2020) |
Atrial fibrillation | atrial fibrillation | 97 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000338/ScoringFiles/PGS000338.txt.gz |
| PGS000341 (GRS33_SSc) |
PGP000110 | Bossini-Castillo L et al. Ann Rheum Dis (2020) |
Systemic sclerosis | systemic scleroderma | 33 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000341/ScoringFiles/PGS000341.txt.gz | |
| PGS000349 (PRS70_CAD) |
PGP000114 | Pechlivanis S et al. BMC Med Genet (2020) |
Coronary artery disease | coronary artery disease | 70 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000349/ScoringFiles/PGS000349.txt.gz |
| 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 |
| PGS000709 (HC299) |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Heart failure | heart failure | 183,287 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000709/ScoringFiles/PGS000709.txt.gz |
| PGS000710 (HC326) |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Myocardial infarction | myocardial infarction | 183,566 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000710/ScoringFiles/PGS000710.txt.gz |
| PGS000727 (AF_PGS) |
PGP000137 | Ritchie SC et al. Nat Metab (2021) |
Atrial fibrillation | atrial fibrillation | 2,210,336 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000727/ScoringFiles/PGS000727.txt.gz |
| PGS000737 (PRS_BrS) |
PGP000144 | Tadros R et al. Eur Heart J (2019) |
Brugada syndrome | Brugada syndrome | 3 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000737/ScoringFiles/PGS000737.txt.gz |
| PGS000739 (HCM_GRS) |
PGP000146 | Harper AR et al. Nat Genet (2021) |
Hypertrophic cardiomyopathy | hypertrophic cardiomyopathy | 27 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000739/ScoringFiles/PGS000739.txt.gz | |
| PGS000746 (PRS_UKB) |
PGP000152 | Gola D et al. Circ Genom Precis Med (2020) |
Coronary artery disease | coronary artery disease | 1,940 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000746/ScoringFiles/PGS000746.txt.gz | |
| PGS000747 (PRS_EB) |
PGP000152 | Gola D et al. Circ Genom Precis Med (2020) |
Coronary artery disease | coronary artery disease | 375,822 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000747/ScoringFiles/PGS000747.txt.gz | |
| PGS000748 (PRS_DE) |
PGP000152 | Gola D et al. Circ Genom Precis Med (2020) |
Coronary artery disease | coronary artery disease | 3,423,987 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000748/ScoringFiles/PGS000748.txt.gz | |
| PGS000749 (PRS_COMBINED) |
PGP000152 | Gola D et al. Circ Genom Precis Med (2020) |
Coronary artery disease | coronary artery disease | 1,056,021 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000749/ScoringFiles/PGS000749.txt.gz | |
| 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 | |
| PGS000778 (PRSHCM) |
PGP000182 | Tadros R et al. Nat Genet (2021) |
Hypertrophic cardiomyopathy | hypertrophic cardiomyopathy | 20 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000778/ScoringFiles/PGS000778.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 |
| PGS000863 (Cardiovascular) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Cardiovascular disease | cardiovascular disease | 330 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000863/ScoringFiles/PGS000863.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 |
| PGS001048 (GBE_HC1576) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
NSTEMI (algorithmically-defined) | Non-ST Elevation Myocardial Infarction | 687 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001048/ScoringFiles/PGS001048.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 |
| PGS001263 (GBE_HC440) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Atrial flutter | atrial flutter | 2,087 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001263/ScoringFiles/PGS001263.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 |
| PGS001314 (GBE_HC938) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Acute myocardial infarction (time-to-event) | myocardial infarction | 1,108 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001314/ScoringFiles/PGS001314.txt.gz |
| PGS001315 (GBE_HC326) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Myocardial infarction | myocardial infarction | 1,788 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001315/ScoringFiles/PGS001315.txt.gz |
| PGS001316 (GBE_HC1574) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Myocardial infarction (algorithmically-defined) | myocardial infarction | 1,831 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001316/ScoringFiles/PGS001316.txt.gz |
| PGS001317 (GBE_BIN_FC1006150) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Vascular/heart problems diagnosed by doctor Heart attack | myocardial infarction | 1,030 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001317/ScoringFiles/PGS001317.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 |
| PGS001335 (GBE_BIN_FC4006150) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Vascular/heart problems diagnosed by doctor High BP | cardiovascular disease | 14,076 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001335/ScoringFiles/PGS001335.txt.gz |
| PGS001339 (GBE_HC964) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Atrial fibrillation and flutter (time-to-event) | atrial fibrillation, atrial flutter |
2,142 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001339/ScoringFiles/PGS001339.txt.gz |
| PGS001340 (GBE_HC281) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Atrial fibrillation | atrial fibrillation | 2,955 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001340/ScoringFiles/PGS001340.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 | |
| PGS001356 (AF_AnnoPred_PRS) |
PGP000252 | Ye Y et al. Circ Genom Precis Med (2021) |
Atrial fibrillation | atrial fibrillation | 2,996,793 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001356/ScoringFiles/PGS001356.txt.gz | |
| PGS001779 (BRSprs) |
PGP000260 | Barc J et al. Nat Genet (2022) |
Brugada syndrome | Brugada syndrome | 21 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001779/ScoringFiles/PGS001779.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 |
| PGS001790 (1kgeur_gbmi_leaveUKBBout_HF_pst_eff_a1_b0.5_phiauto) |
PGP000262 | Wang Y et al. Cell Genom (2023) |
Heart Failure | heart failure | 910,146 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001790/ScoringFiles/PGS001790.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 |
| PGS001840 (portability-PLR_415) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Pulmonary heart disease | cor pulmonale | 330 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001840/ScoringFiles/PGS001840.txt.gz |
| PGS001841 (portability-PLR_427.2) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Atrial fibrillation and flutter | atrial fibrillation, atrial flutter |
3,980 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001841/ScoringFiles/PGS001841.txt.gz |
| PGS001842 (portability-PLR_428) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Congestive heart failure; nonhypertensive | congestive heart failure | 2,759 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001842/ScoringFiles/PGS001842.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 |
| PGS002049 (portability-ldpred2_415) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Pulmonary heart disease | cor pulmonale | 222,371 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002049/ScoringFiles/PGS002049.txt.gz |
| PGS002050 (portability-ldpred2_427.2) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Atrial fibrillation and flutter | atrial fibrillation, atrial flutter |
554,908 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002050/ScoringFiles/PGS002050.txt.gz |
| PGS002051 (portability-ldpred2_428) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Congestive heart failure; nonhypertensive | congestive heart failure | 642,241 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002051/ScoringFiles/PGS002051.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 | |
| PGS002271 (PRS_MVP) |
PGP000301 | Roselli C et al. Eur Heart J (2022) |
Mitral valve prolapse | Mitral valve prolapse | 1,097,364 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002271/ScoringFiles/PGS002271.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 | |
| PGS002316 (disease_CARDIOVASCULAR.BOLT-LMM) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Cardiovascular disease | cardiovascular disease | 1,109,311 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002316/ScoringFiles/PGS002316.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 |
| PGS002361 (disease_CARDIOVASCULAR.BOLT-LMM-BBJ) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Cardiovascular disease | cardiovascular disease | 920,929 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002361/ScoringFiles/PGS002361.txt.gz |
| PGS002388 (disease_CARDIOVASCULAR.P+T.0.0001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Cardiovascular disease | cardiovascular disease | 5,621 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002388/ScoringFiles/PGS002388.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 |
| PGS002437 (disease_CARDIOVASCULAR.P+T.0.001) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Cardiovascular disease | cardiovascular disease | 20,431 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002437/ScoringFiles/PGS002437.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 |
| PGS002486 (disease_CARDIOVASCULAR.P+T.0.01) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Cardiovascular disease | cardiovascular disease | 110,640 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002486/ScoringFiles/PGS002486.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 |
| PGS002535 (disease_CARDIOVASCULAR.P+T.1e-06) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Cardiovascular disease | cardiovascular disease | 1,218 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002535/ScoringFiles/PGS002535.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 |
| PGS002584 (disease_CARDIOVASCULAR.P+T.5e-08) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Cardiovascular disease | cardiovascular disease | 637 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002584/ScoringFiles/PGS002584.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 |
| PGS002633 (disease_CARDIOVASCULAR.PolyFun-pred) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Cardiovascular disease | cardiovascular disease | 381,036 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002633/ScoringFiles/PGS002633.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 |
| PGS002682 (disease_CARDIOVASCULAR.SBayesR) |
PGP000332 | Weissbrod O et al. Nat Genet (2022) |
Cardiovascular disease | cardiovascular disease | 972,965 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002682/ScoringFiles/PGS002682.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 | |
| PGS002756 (Atrial_fibrillation_prscs) |
PGP000364 | Mars N et al. Am J Hum Genet (2022) |
Atrial fibrillation | atrial fibrillation | 1,091,491 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002756/ScoringFiles/PGS002756.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 |
| PGS002773 (GTG_AF_maxCT) |
PGP000365 | Wong CK et al. PLoS One (2022) |
Incident atrial fibrillation | atrial fibrillation | 265 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002773/ScoringFiles/PGS002773.txt.gz | |
| PGS002774 (GTG_AF_SCT) |
PGP000365 | Wong CK et al. PLoS One (2022) |
Incident atrial fibrillation | atrial fibrillation | 216,837 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002774/ScoringFiles/PGS002774.txt.gz | |
| PGS002775 (GTG_CAD_maxCT) |
PGP000365 | Wong CK et al. PLoS One (2022) |
Incident coronary artery disease | coronary artery disease | 1,059 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002775/ScoringFiles/PGS002775.txt.gz | |
| PGS002776 (GTG_CAD_SCT) |
PGP000365 | Wong CK et al. PLoS One (2022) |
Incident coronary artery disease | coronary artery disease | 390,782 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002776/ScoringFiles/PGS002776.txt.gz | |
| PGS002777 (GTG_Hypertension_maxCT) |
PGP000365 | Wong CK et al. PLoS One (2022) |
Incident hypertension | coronary artery disease | 61,669 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002777/ScoringFiles/PGS002777.txt.gz | |
| PGS002778 (GTG_Hypertension_SCT) |
PGP000365 | Wong CK et al. PLoS One (2022) |
Incident hypertension | coronary artery disease | 309,759 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002778/ScoringFiles/PGS002778.txt.gz | |
| 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 |
| PGS002814 (AF-PRS) |
PGP000392 | Miyazawa K et al. Nat Genet (2023) |
Atrial fibrillation | atrial fibrillation | 4,520 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002814/ScoringFiles/PGS002814.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 | |
| 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 |
|
PGS Performance Metric ID (PPM) |
Evaluated Score |
PGS Sample Set ID (PSS) |
Performance Source | Trait |
PGS Effect Sizes (per SD change) |
Classification Metrics | Other Metrics | Covariates Included in the Model |
PGS Performance: Other Relevant Information |
|---|---|---|---|---|---|---|---|---|---|
| PPM000014 | PGS000010 (GRS27) |
PSS000008| European Ancestry| 42,998 individuals |
PGP000003 | Mega JL et al. Lancet (2015) |
Reported Trait: Coronary heart disease | HR: 1.21 [1.17, 1.26] | — | — | age, sex, diabetes status, smoking, race, family history of coronary heart disease, HDL cholesterol, LDL cholesterol, and hypertension | Meta-analysis of sub-cohort effect sizes |
| PPM000015 | PGS000010 (GRS27) |
PSS000009| European Ancestry| 4,877 individuals |
PGP000003 | Mega JL et al. Lancet (2015) |
Reported Trait: Coronary heart disease | HR: 1.14 [1.02, 1.28] | — | — | age, sex, diabetes status, smoking, race, family history of coronary heart disease, HDL cholesterol, LDL cholesterol, and hypertension | Meta-analysis of sub-cohort effect sizes |
| PPM000018 | PGS000012 (GRS49K) |
PSS000012| European Ancestry| 12,676 individuals |
PGP000005 | Abraham G et al. Eur Heart J (2016) |
Reported Trait: Incident coronary artery disease | HR: 1.74 [1.61, 1.86] OR: 1.74 [1.61, 1.89] |
— | — | sex, sub-cohort, location (east/west), 5 genetic PCs | Used only the 42,364 SNPs that were available in FINRISK |
| PPM000020 | PGS000012 (GRS49K) |
PSS000011| European Ancestry| 3,406 individuals |
PGP000005 | Abraham G et al. Eur Heart J (2016) |
Reported Trait: Incident coronary artery disease | HR: 1.28 [1.18, 1.38] OR: 1.28 [1.17, 1.41] |
— | — | sex, sub-cohort, 5 genetic PCs | Used only the 46,773 SNPs that were available in FHS |
| PPM001620 | PGS000013 (GPS_CAD) |
PSS000837| European Ancestry| 4,847 individuals |
PGP000129 | Mosley JD et al. JAMA (2020) |Ext. |
Reported Trait: Incident coronary heart disease (10-year risk) | — | C-index: 0.7 [0.677, 0.721] | Δ C-index (PRS+covariates vs. covariates alone): -0.001 [-0.009, 0.006] | Pooled cohort risk percentile, age, sex, PCs (1-5) | — |
| 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 |
| PPM000027 | PGS000018 (metaGRS_CAD) |
PSS000018| Multi-ancestry (including European)| 482,629 individuals |
PGP000007 | Inouye M et al. J Am Coll Cardiol (2018) |
Reported Trait: Incident coronary artery disease | HR: 1.706 [1.682, 1.73] | AUROC: 0.79 C-index: 0.623 [0.615, 0.631] |
AUPRC: 0.161 | sex, genetic PCs (1-10), genotyping array | age-as-time-scale Cox regression |
| PPM000028 | PGS000012 (GRS49K) |
PSS000018| Multi-ancestry (including European)| 482,629 individuals |
PGP000007 | Inouye M et al. J Am Coll Cardiol (2018) |Ext. |
Reported Trait: Incident coronary artery disease | HR: 1.524 [1.498, 1.551] | — | — | sex, genetic PCs (1-10), genotyping array | Used GRS46K (excludes A/T and C/G SNPs, with performance similar to GRS49K) |
| PPM000038 | PGS000019 (GRS_CAD) |
PSS000023| European Ancestry| 725 individuals |
PGP000009 | Paquette M et al. J Clin Lipidol (2017) |
Reported Trait: Coronary artery disease in familial hypercholesterolemia patients | OR: 1.66 [1.06, 2.62] | — | — | age, gender, prior statin use, smoking, diabetes, hypertension, BMI, LDL-C, HDL-C, TGs, Lp(a), and type of LDLR mutation | Performance metrics are from Model 2 (adjusted for cardiovascular risk factors) |
| PPM000039 | PGS000019 (GRS_CAD) |
PSS000024| European Ancestry| 725 individuals |
PGP000009 | Paquette M et al. J Clin Lipidol (2017) |
Reported Trait: Coronary artery disease in familial hypercholesterolemia patients | OR: 1.8 [1.14, 2.85] | — | — | age, gender, prior statin use, smoking, diabetes, hypertension, BMI, LDL-C, HDL-C, TGs, Lp(a), and type of LDLR mutation | Performance metrics are from Model 2 (adjusted for cardiovascular risk factors) |
| PPM000016 | PGS000011 (GRS50) |
PSS000010| European Ancestry| 23,595 individuals |
PGP000004 | Tada H et al. Eur Heart J (2015) |
Reported Trait: Incident coronary heart disease | HR: 1.23 [1.18, 1.28] | — | — | age, sex, systolic blood pressure, hypertension treatment, smoking, apoB, apoA-I, prevalent diabetes | — |
| PPM000079 | PGS000035 (PRS_AF) |
PSS000053| Multi-ancestry (including European)| 4,606 individuals |
PGP000022 | Weng LC et al. Circulation (2017) |
Reported Trait: Incident atrial fibrillation | HR: 1.14 [1.11, 1.16] | — | — | Clinical risk (CHARGE-AF Score: height, weight, systolic and diastolic blood pressure, current smoking status, use of antihypertensive medication, diabetes mellitus, history of myocardial infarction and heart failure), age, sex, genotyping array, 1 PC of ancestry | Unadjusted for Competing Risk of Death |
| 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. |
| 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 | — |
| 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 | — |
| 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 | — |
| PPM001011 | PGS000013 (GPS_CAD) |
PSS000515| African Ancestry| 6,979 individuals |
PGP000116 | Aragam KG et al. J Am Coll Cardiol (2020) |Ext. |
Reported Trait: Prevalent Coronary Artery Disease | — | AUROC: 0.58 | — | PCs (1-10) of ancestry | — |
| PPM001010 | PGS000013 (GPS_CAD) |
PSS000517| Hispanic or Latin American Ancestry| 7,048 individuals |
PGP000116 | Aragam KG et al. J Am Coll Cardiol (2020) |Ext. |
Reported Trait: Prevalent Coronary Artery Disease | — | AUROC: 0.63 | — | PCs (1-10) of ancestry | — |
| PPM001009 | PGS000013 (GPS_CAD) |
PSS000516| European Ancestry| 10,344 individuals |
PGP000116 | Aragam KG et al. J Am Coll Cardiol (2020) |Ext. |
Reported Trait: Prevalent Coronary Artery Disease | — | AUROC: 0.53 | — | PCs (1-10) of ancestry | — |
| PPM001008 | PGS000013 (GPS_CAD) |
PSS000515| African Ancestry| 6,979 individuals |
PGP000116 | Aragam KG et al. J Am Coll Cardiol (2020) |Ext. |
Reported Trait: Prevalent Coronary Artery Disease | OR: 1.29 [1.23, 1.34] | — | — | age, sex, PCs (1-10) of ancestry | — |
| PPM001007 | PGS000013 (GPS_CAD) |
PSS000517| Hispanic or Latin American Ancestry| 7,048 individuals |
PGP000116 | Aragam KG et al. J Am Coll Cardiol (2020) |Ext. |
Reported Trait: Prevalent Coronary Artery Disease | OR: 1.5 [1.44, 1.57] | — | — | age, sex, PCs (1-10) of ancestry | — |
| PPM001006 | PGS000013 (GPS_CAD) |
PSS000516| European Ancestry| 10,344 individuals |
PGP000116 | Aragam KG et al. J Am Coll Cardiol (2020) |Ext. |
Reported Trait: Prevalent Coronary Artery Disease | OR: 1.52 [1.46, 1.58] | — | — | age, sex, PCs (1-10) of ancestry | — |
| PPM001005 | PGS000013 (GPS_CAD) |
PSS000514| Multi-ancestry (including European)| 24,371 individuals |
PGP000116 | Aragam KG et al. J Am Coll Cardiol (2020) |Ext. |
Reported Trait: Prevalent Coronary Artery Disease | — | AUROC: 0.61 | — | PCs (1-10) of ancestry | — |
| PPM001004 | PGS000013 (GPS_CAD) |
PSS000519| Multi-ancestry (including European)| 9,070 individuals |
PGP000116 | Aragam KG et al. J Am Coll Cardiol (2020) |Ext. |
Reported Trait: Prevalent Coronary Artery Disease | — | AUROC: 0.6 | — | PCs (1-10) of ancestry | — |
| PPM001003 | PGS000013 (GPS_CAD) |
PSS000518| Multi-ancestry (including European)| 13,667 individuals |
PGP000116 | Aragam KG et al. J Am Coll Cardiol (2020) |Ext. |
Reported Trait: Prevalent Coronary Artery Disease | — | AUROC: 0.59 | — | PCs (1-10) of ancestry | — |
| PPM001002 | PGS000013 (GPS_CAD) |
PSS000514| Multi-ancestry (including European)| 24,371 individuals |
PGP000116 | Aragam KG et al. J Am Coll Cardiol (2020) |Ext. |
Reported Trait: Prevalent Coronary Artery Disease | OR: 1.42 [1.35, 1.48] | — | — | age, sex, PCs (1-10) of ancestry | — |
| PPM001001 | PGS000013 (GPS_CAD) |
PSS000519| Multi-ancestry (including European)| 9,070 individuals |
PGP000116 | Aragam KG et al. J Am Coll Cardiol (2020) |Ext. |
Reported Trait: Prevalent Coronary Artery Disease | OR: 1.45 [1.38, 1.52] | — | — | age, sex, PCs (1-10) of ancestry, genotyping array | — |
| PPM000383 | PGS000013 (GPS_CAD) |
PSS000219| European Ancestry| 11,010 individuals |
PGP000057 | Homburger JR et al. Genome Med (2019) |Ext. |
Reported Trait: Coronary artery disease (personal history) | OR: 1.589 [1.32, 1.92] | AUROC: 0.86 | — | age, sex | — |
| PPM001000 | PGS000013 (GPS_CAD) |
PSS000518| Multi-ancestry (including European)| 13,667 individuals |
PGP000116 | Aragam KG et al. J Am Coll Cardiol (2020) |Ext. |
Reported Trait: Prevalent Coronary Artery Disease | OR: 1.41 [1.34, 1.47] | — | — | age, sex, PCs (1-10) of ancestry, genotyping array | — |
| PPM000583 | PGS000200 (GRS28) |
PSS000330| European Ancestry| 24,124 individuals |
PGP000082 | Tikkanen E et al. Arterioscler Thromb Vasc Biol (2013) |
Reported Trait: Incident cardiovascular disease | HR: 1.18 [1.12, 1.24] | — | — | sex, total cholesterol, high-density lipoprotein–cholesterol, body mass index, systolic blood pressure, antihypertensive treatment, smoking, type 2 diabetes mellitus | Age as timescale Cox regression |
| PPM000150 | PGS000059 (CHD46) |
PSS000094| European Ancestry| 1,320 individuals |
PGP000044 | Hajek C et al. Circ Genom Precis Med (2018) |
Reported Trait: Incident coronary heart disease | — | — | HR (top vs. bottom quartiles of GRS): 0.76 [0.41, 1.39] p-value (association between risk and incidence): 0.31 |
NR | — |
| PPM000999 | PGS000013 (GPS_CAD) |
PSS000520| Multi-ancestry (including European)| 47,108 individuals |
PGP000116 | Aragam KG et al. J Am Coll Cardiol (2020) |Ext. |
Reported Trait: Prevalent Coronary Artery Disease | OR: 1.42 [1.38, 1.46] | — | — | age, sex, PCs (1-10) of ancestry, genotyping array | — |
| PPM000589 | PGS000011 (GRS50) |
PSS000334| European Ancestry| 39,758 individuals |
PGP000083 | Dikilitas O et al. Am J Hum Genet (2020) |Ext. |
Reported Trait: Incident coronary heart disease | HR: 1.2 [1.15, 1.25] | C-index: 0.698 | — | sex, eMERGE site, first five ancestry-specific principal components | Age-as-time-scale Cox regression |
| PPM000585 | PGS000200 (GRS28) |
PSS000328| European Ancestry| 24,124 individuals |
PGP000082 | Tikkanen E et al. Arterioscler Thromb Vasc Biol (2013) |
Reported Trait: Incident acute coronary syndrome | HR: 1.27 [1.18, 1.37] | — | — | sex, total cholesterol, high-density lipoprotein–cholesterol, body mass index, systolic blood pressure, antihypertensive treatment, smoking, type 2 diabetes mellitus | Age as timescale Cox regression |
| PPM000402 | PGS000013 (GPS_CAD) |
PSS000227| Additional Asian Ancestries| 544 individuals |
PGP000060 | Khera AV et al. Circulation (2019) |Ext. |
Reported Trait: Early-onset mycardial infarction (age ≤55 years) | OR: 2.16 [1.35, 1.59] | — | Odds Ratio (OR; top 5% vs. rest): 3.33 [0.82, 13.51] | 4 genetic PCs | — |
| PPM000597 | PGS000018 (metaGRS_CAD) |
PSS000336| Hispanic or Latin American Ancestry| 2,194 individuals |
PGP000083 | Dikilitas O et al. Am J Hum Genet (2020) |Ext. |
Reported Trait: Incident coronary heart disease | HR: 1.53 [1.23, 1.9] | C-index: 0.683 | — | sex, eMERGE site, first five ancestry-specific principal components | Age-as-time-scale Cox regression |
| PPM000596 | PGS000013 (GPS_CAD) |
PSS000336| Hispanic or Latin American Ancestry| 2,194 individuals |
PGP000083 | Dikilitas O et al. Am J Hum Genet (2020) |Ext. |
Reported Trait: Incident coronary heart disease | HR: 1.16 [0.96, 1.41] | C-index: 0.659 | — | sex, eMERGE site, first five ancestry-specific principal components | Age-as-time-scale Cox regression |
| PPM000595 | PGS000011 (GRS50) |
PSS000336| Hispanic or Latin American Ancestry| 2,194 individuals |
PGP000083 | Dikilitas O et al. Am J Hum Genet (2020) |Ext. |
Reported Trait: Incident coronary heart disease | HR: 1.13 [0.93, 1.36] | C-index: 0.654 | — | sex, eMERGE site, first five ancestry-specific principal components | Age-as-time-scale Cox regression |
| PPM000594 | PGS000018 (metaGRS_CAD) |
PSS000332| African Ancestry| 7,070 individuals |
PGP000083 | Dikilitas O et al. Am J Hum Genet (2020) |Ext. |
Reported Trait: Incident coronary heart disease | HR: 1.27 [1.13, 1.43] | C-index: 0.663 | — | sex, eMERGE site, first five ancestry-specific principal components | Age-as-time-scale Cox regression |
| PPM000593 | PGS000013 (GPS_CAD) |
PSS000332| African Ancestry| 7,070 individuals |
PGP000083 | Dikilitas O et al. Am J Hum Genet (2020) |Ext. |
Reported Trait: Incident coronary heart disease | HR: 1.19 [1.07, 1.33] | C-index: 0.656 | — | sex, eMERGE site, first five ancestry-specific principal components | Age-as-time-scale Cox regression |
| PPM000592 | PGS000011 (GRS50) |
PSS000332| African Ancestry| 7,070 individuals |
PGP000083 | Dikilitas O et al. Am J Hum Genet (2020) |Ext. |
Reported Trait: Incident coronary heart disease | HR: 1.05 [0.94, 1.17] | C-index: 0.649 | — | sex, eMERGE site, first five ancestry-specific principal components | Age-as-time-scale Cox regression |
| PPM000591 | PGS000018 (metaGRS_CAD) |
PSS000334| European Ancestry| 39,758 individuals |
PGP000083 | Dikilitas O et al. Am J Hum Genet (2020) |Ext. |
Reported Trait: Incident coronary heart disease | HR: 1.53 [1.46, 1.6] | C-index: 0.719 | — | sex, eMERGE site, first five ancestry-specific principal components | Age-as-time-scale Cox regression |
| PPM000619 | PGS000013 (GPS_CAD) |
PSS000332| African Ancestry| 7,070 individuals |
PGP000083 | Dikilitas O et al. Am J Hum Genet (2020) |Ext. |
Reported Trait: Incident coronary heart disease | HR: 1.17 [1.04, 1.31] | C-index: 0.712 | — | sex, eMERGE site, diabetes, hypertension, hyperlipidemia, statin use, first 5 ancestry-specific principal components | Age-as-time-scale Cox regression |
| PPM000618 | PGS000011 (GRS50) |
PSS000332| African Ancestry| 7,070 individuals |
PGP000083 | Dikilitas O et al. Am J Hum Genet (2020) |Ext. |
Reported Trait: Incident coronary heart disease | HR: 1.05 [0.94, 1.18] | C-index: 0.704 | — | sex, eMERGE site, diabetes, hypertension, hyperlipidemia, statin use, first 5 ancestry-specific principal components | Age-as-time-scale Cox regression |
| PPM000617 | PGS000200 (GRS28) |
PSS000332| African Ancestry| 7,070 individuals |
PGP000083 | Dikilitas O et al. Am J Hum Genet (2020) |Ext. |
Reported Trait: Incident coronary heart disease | HR: 1.11 [0.99, 1.25] | C-index: 0.706 | — | sex, eMERGE site, diabetes, hypertension, hyperlipidemia, statin use, first 5 ancestry-specific principal components | Age-as-time-scale Cox regression |
| PPM000616 | PGS000018 (metaGRS_CAD) |
PSS000334| European Ancestry| 39,758 individuals |
PGP000083 | Dikilitas O et al. Am J Hum Genet (2020) |Ext. |
Reported Trait: Incident coronary heart disease | HR: 1.49 [1.43, 1.56] | C-index: 0.75 | — | sex, eMERGE site, diabetes, hypertension, hyperlipidemia, statin use, first 5 ancestry-specific principal components | Age-as-time-scale Cox regression |
| PPM000615 | PGS000013 (GPS_CAD) |
PSS000334| European Ancestry| 39,758 individuals |
PGP000083 | Dikilitas O et al. Am J Hum Genet (2020) |Ext. |
Reported Trait: Incident coronary heart disease | HR: 1.47 [1.41, 1.54] | C-index: 0.75 | — | sex, eMERGE site, diabetes, hypertension, hyperlipidemia, statin use, first 5 ancestry-specific principal components | Age-as-time-scale Cox regression |
| PPM000614 | PGS000011 (GRS50) |
PSS000334| European Ancestry| 39,758 individuals |
PGP000083 | Dikilitas O et al. Am J Hum Genet (2020) |Ext. |
Reported Trait: Incident coronary heart disease | HR: 1.2 [1.15, 1.25] | C-index: 0.736 | — | sex, eMERGE site, diabetes, hypertension, hyperlipidemia, statin use, first 5 ancestry-specific principal components | Age-as-time-scale Cox regression |
| PPM000613 | PGS000200 (GRS28) |
PSS000334| European Ancestry| 39,758 individuals |
PGP000083 | Dikilitas O et al. Am J Hum Genet (2020) |Ext. |
Reported Trait: Incident coronary heart disease | HR: 1.17 [1.12, 1.22] | C-index: 0.735 | — | sex, eMERGE site, diabetes, hypertension, hyperlipidemia, statin use, first 5 ancestry-specific principal components | Age-as-time-scale Cox regression |
| PPM000620 | PGS000018 (metaGRS_CAD) |
PSS000332| African Ancestry| 7,070 individuals |
PGP000083 | Dikilitas O et al. Am J Hum Genet (2020) |Ext. |
Reported Trait: Incident coronary heart disease | HR: 1.25 [1.12, 1.41] | C-index: 0.723 | — | sex, eMERGE site, diabetes, hypertension, hyperlipidemia, statin use, first 5 ancestry-specific principal components | Age-as-time-scale Cox regression |
| PPM000624 | PGS000018 (metaGRS_CAD) |
PSS000336| Hispanic or Latin American Ancestry| 2,194 individuals |
PGP000083 | Dikilitas O et al. Am J Hum Genet (2020) |Ext. |
Reported Trait: Incident coronary heart disease | HR: 1.5 [1.21, 1.87] | C-index: 0.725 | — | sex, eMERGE site, diabetes, hypertension, hyperlipidemia, statin use, first 5 ancestry-specific principal components | Age-as-time-scale Cox regression |
| PPM000623 | PGS000013 (GPS_CAD) |
PSS000336| Hispanic or Latin American Ancestry| 2,194 individuals |
PGP000083 | Dikilitas O et al. Am J Hum Genet (2020) |Ext. |
Reported Trait: Incident coronary heart disease | HR: 1.14 [0.94, 1.39] | C-index: 0.708 | — | sex, eMERGE site, diabetes, hypertension, hyperlipidemia, statin use, first 5 ancestry-specific principal components | Age-as-time-scale Cox regression |
| PPM000622 | PGS000011 (GRS50) |
PSS000336| Hispanic or Latin American Ancestry| 2,194 individuals |
PGP000083 | Dikilitas O et al. Am J Hum Genet (2020) |Ext. |
Reported Trait: Incident coronary heart disease | HR: 1.12 [0.93, 1.36] | C-index: 0.708 | — | sex, eMERGE site, diabetes, hypertension, hyperlipidemia, statin use, first 5 ancestry-specific principal components | Age-as-time-scale Cox regression |
| PPM000621 | PGS000200 (GRS28) |
PSS000336| Hispanic or Latin American Ancestry| 2,194 individuals |
PGP000083 | Dikilitas O et al. Am J Hum Genet (2020) |Ext. |
Reported Trait: Incident coronary heart disease | HR: 1.13 [0.93, 1.37] | C-index: 0.709 | — | sex, eMERGE site, diabetes, hypertension, hyperlipidemia, statin use, first 5 ancestry-specific principal components | Age-as-time-scale Cox regression |
| PPM001666 | PGS000018 (metaGRS_CAD) |
PSS000868| European Ancestry| 3,087 individuals |
PGP000137 | Ritchie SC et al. Nat Metab (2021) |Ext. |
Reported Trait: Incident myocardial infarction | HR: 2.89 [1.66, 5.04] | — | — | age, sex, 10 genetic PCs | — |
| PPM001668 | PGS000727 (AF_PGS) |
PSS000867| European Ancestry| 3,087 individuals |
PGP000137 | Ritchie SC et al. Nat Metab (2021) |
Reported Trait: Incident atrial fibrillation | HR: 1.72 [1.2, 2.47] | — | — | age, sex, 10 genetic PCs | — |
| PPM000590 | PGS000013 (GPS_CAD) |
PSS000334| European Ancestry| 39,758 individuals |
PGP000083 | Dikilitas O et al. Am J Hum Genet (2020) |Ext. |
Reported Trait: Incident coronary heart disease | HR: 1.5 [1.43, 1.56] | C-index: 0.719 | — | sex, eMERGE site, first five ancestry-specific principal components | Age-as-time-scale Cox regression |
| PPM000584 | PGS000200 (GRS28) |
PSS000329| European Ancestry| 24,124 individuals |
PGP000082 | Tikkanen E et al. Arterioscler Thromb Vasc Biol (2013) |
Reported Trait: Incident coronary heart disease | HR: 1.27 [1.2, 1.35] | — | — | sex, total cholesterol, high-density lipoprotein–cholesterol, body mass index, systolic blood pressure, antihypertensive treatment, smoking, type 2 diabetes mellitus | Age as timescale Cox regression |
| PPM000385 | PGS000016 (GPS_AF) |
PSS000217| European Ancestry| 10,303 individuals |
PGP000057 | Homburger JR et al. Genome Med (2019) |Ext. |
Reported Trait: Atrial Fibrillation (personal history) | OR: 1.277 [1.12, 1.46] | AUROC: 0.78 | — | age, sex | — |
| PPM000496 | PGS000011 (GRS50) |
PSS000285| European Ancestry| 22,389 individuals |
PGP000076 | Khera AV et al. N Engl J Med (2016) |Ext. |
Reported Trait: Incident coronary artery disease | — | — | Hazard Ratio (HR; top 20% of score vs bottom 20%): 1.98 [1.76, 2.23] | age, sex, self reported education level | — |
| PPM000495 | PGS000011 (GRS50) |
PSS000286| European Ancestry| 21,222 individuals |
PGP000076 | Khera AV et al. N Engl J Med (2016) |Ext. |
Reported Trait: Incident coronary artery disease | — | — | Hazard Ratio (HR; top 20% of score vs bottom 20%): 1.94 [1.58, 2.39] | age, self reported education level, treatment (vitamin E vs aspirin), 5 genetic principal components | — |
| PPM000494 | PGS000011 (GRS50) |
PSS000283| European Ancestry| 7,814 individuals |
PGP000076 | Khera AV et al. N Engl J Med (2016) |Ext. |
Reported Trait: Incident coronary artery disease | — | — | Hazard Ratio (HR; top 20% of score vs bottom 20%): 1.75 [1.46, 2.1] | age, sex, self reported education level, 5 genetic principal components | — |
| PPM001839 | PGS000747 (PRS_EB) |
PSS000931| European Ancestry| 431,814 individuals |
PGP000152 | Gola D et al. Circ Genom Precis Med (2020) |
Reported Trait: Coronary artery disease | — | AUROC: 0.6043 [0.6004, 0.6082] | Area under the Precision-Recall curve (AUPRC): 0.0712 [0.0703, 0.076] | — | — |
| PPM001841 | PGS000748 (PRS_DE) |
PSS000930| European Ancestry| 27,048 individuals |
PGP000152 | Gola D et al. Circ Genom Precis Med (2020) |
Reported Trait: Coronary artery disease | — | AUROC: 0.6156 [0.5963, 0.6349] | Area under the Precision-Recall curve (AUPRC): 0.0506 [0.0504, 0.0508] | — | — |
| PPM001842 | PGS000748 (PRS_DE) |
PSS000931| European Ancestry| 431,814 individuals |
PGP000152 | Gola D et al. Circ Genom Precis Med (2020) |
Reported Trait: Coronary artery disease | — | AUROC: 0.5989 [0.595, 0.6028] | Area under the Precision-Recall curve (AUPRC): 0.0696 [0.0694, 0.0698] | — | — |
| PPM001843 | PGS000749 (PRS_COMBINED) |
PSS000930| European Ancestry| 27,048 individuals |
PGP000152 | Gola D et al. Circ Genom Precis Med (2020) |
Reported Trait: Coronary artery disease | — | AUROC: 0.6112 [0.5919, 0.6305] | Area under the Precision-Recall curve (AUPRC): 0.048 [0.0473, 0.0487] | — | — |
| PPM001845 | PGS000018 (metaGRS_CAD) |
PSS000929| European Ancestry| 5,581 individuals |
PGP000152 | Gola D et al. Circ Genom Precis Med (2020) |Ext. |
Reported Trait: Coronary artery disease | — | AUROC: 0.5015 [0.483, 0.514] | Area under the Precision-Recall curve (AUPRC): 0.5205 [0.5201, 0.521] | — | — |
| PPM001846 | PGS000018 (metaGRS_CAD) |
PSS000930| European Ancestry| 27,048 individuals |
PGP000152 | Gola D et al. Circ Genom Precis Med (2020) |Ext. |
Reported Trait: Coronary artery disease | — | AUROC: 0.6597 [0.6405, 0.6789] | Area under the Precision-Recall curve (AUPRC): 0.0673 [0.0668, 0.0679] | — | — |
| PPM000017 | PGS000010 (GRS27) |
PSS000010| European Ancestry| 23,595 individuals |
PGP000004 | Tada H et al. Eur Heart J (2015) |Ext. |
Reported Trait: Incident coronary heart disease | HR: 1.2 [1.15, 1.25] | — | — | age, sex, systolic blood pressure, hypertension treatment, smoking, apoB, apoA-I, prevalent diabetes | — |
| PPM000022 | PGS000013 (GPS_CAD) |
PSS000015| European Ancestry| 288,978 individuals |
PGP000006 | Khera AV et al. Nat Genet (2018) |
Reported Trait: Coronary artery disease | — | AUROC: 0.81 [0.81, 0.81] | Nagelkerke’s R2 (estimate of variance explained by the PGS after covariate adjustment): 0.04 | age; sex; Ancestry PC 1-4; genotyping chip | — |
| PPM000025 | PGS000016 (GPS_AF) |
PSS000013| European Ancestry| 288,978 individuals |
PGP000006 | Khera AV et al. Nat Genet (2018) |
Reported Trait: Atrial fibrillation | — | AUROC: 0.77 [0.76, 0.77] | Nagelkerke’s R2 (estimate of variance explained by the PGS after covariate adjustment): 0.029 | age; sex; Ancestry PC 1-4; genotyping chip | — |
| PPM000029 | PGS000011 (GRS50) |
PSS000018| Multi-ancestry (including European)| 482,629 individuals |
PGP000007 | Inouye M et al. J Am Coll Cardiol (2018) |Ext. |
Reported Trait: Incident coronary artery disease | HR: 1.263 [1.247, 1.28] | — | — | sex, genetic PCs (1-10), genotyping array | — |
| PPM000030 | PGS000013 (GPS_CAD) |
PSS000021| European Ancestry| 1,964 individuals |
PGP000008 | Wünnemann F et al. Circ Genom Precis Med (2019) |Ext. |
Reported Trait: Coronary artery disease (prevalent) | OR: 1.64 [1.48, 1.81] | AUROC: 0.72 [0.7, 0.74] | — | age, sex, first four genetic PCs | — |
| PPM000031 | PGS000013 (GPS_CAD) |
PSS000022| European Ancestry| 3,309 individuals |
PGP000008 | Wünnemann F et al. Circ Genom Precis Med (2019) |Ext. |
Reported Trait: Coronary artery disease (prevalent) | OR: 1.55 [1.38, 1.73] | AUROC: 0.89 [0.88, 0.91] | — | age, sex, first four genetic PCs | — |
| PPM000032 | PGS000013 (GPS_CAD) |
PSS000019| European Ancestry| 5,762 individuals |
PGP000008 | Wünnemann F et al. Circ Genom Precis Med (2019) |Ext. |
Reported Trait: Coronary artery disease (prevalent) | OR: 1.69 [1.44, 1.99] | AUROC: 0.84 [0.81, 0.87] | — | age, sex, first four genetic PCs, cohort recruitment centre | — |
| PPM000033 | PGS000013 (GPS_CAD) |
PSS000020| European Ancestry| 3,195 individuals |
PGP000008 | Wünnemann F et al. Circ Genom Precis Med (2019) |Ext. |
Reported Trait: Reccurent coronary artery disease events | OR: 1.13 [1.06, 1.22] | — | — | age, sex, first four genetic PCs | — |
| PPM000034 | PGS000018 (metaGRS_CAD) |
PSS000021| European Ancestry| 1,964 individuals |
PGP000008 | Wünnemann F et al. Circ Genom Precis Med (2019) |Ext. |
Reported Trait: Coronary artery disease (prevalent) | OR: 1.74 [1.57, 1.93] | AUROC: 0.72 [0.7, 0.75] | — | age, sex, first four genetic PCs | — |
| PPM000035 | PGS000018 (metaGRS_CAD) |
PSS000022| European Ancestry| 3,309 individuals |
PGP000008 | Wünnemann F et al. Circ Genom Precis Med (2019) |Ext. |
Reported Trait: Coronary artery disease (prevalent) | OR: 1.6 [1.43, 1.8] | AUROC: 0.89 [0.88, 0.91] | — | age, sex, first four genetic PCs | — |
| PPM000036 | PGS000018 (metaGRS_CAD) |
PSS000019| European Ancestry| 5,762 individuals |
PGP000008 | Wünnemann F et al. Circ Genom Precis Med (2019) |Ext. |
Reported Trait: Coronary artery disease (prevalent) | OR: 1.75 [1.49, 2.05] | AUROC: 0.84 [0.81, 0.87] | — | age, sex, first four genetic PCs, cohort recruitment centre | — |
| PPM000037 | PGS000018 (metaGRS_CAD) |
PSS000020| European Ancestry| 3,195 individuals |
PGP000008 | Wünnemann F et al. Circ Genom Precis Med (2019) |Ext. |
Reported Trait: Reccurent coronary artery disease events | OR: 1.17 [1.08, 1.26] | — | — | age, sex, first four genetic PCs | — |
| 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 | — |
| PPM000144 | PGS000057 (CHD57) |
PSS000091| Ancestry Not Reported| 2,440 individuals |
PGP000042 | Natarajan P et al. Circulation (2017) |
Reported Trait: Coronary heart disease (incident) | — | — | HR (highest vs. lowest quintile of PGS): 1.66 [1.21, 2.29] | age, sex, diabetes meliitus status, smoking status, LDL cholesterol, HDL cholesterol, systolic blood pressure, antihypertensive medication status, family history of CHD | — |
| PPM000145 | PGS000057 (CHD57) |
PSS000090| Ancestry Not Reported| 1,154 individuals |
PGP000042 | Natarajan P et al. Circulation (2017) |
Reported Trait: Coronary artery calcification | OR: 1.32 [1.04, 1.68] | — | OR (highest vs. lowest quintile of PGS): 2.51 [1.08, 5.85] | age, sex, diabetes meliitus status, smoking status, LDL cholesterol, HDL cholesterol, systolic blood pressure, antihypertensive medication status, family history of CHD | — |
| PPM000146 | PGS000057 (CHD57) |
PSS000089| Ancestry Not Reported| 4,392 individuals |
PGP000042 | Natarajan P et al. Circulation (2017) |
Reported Trait: Carotid artery plaque burden | β: 1.097 [1.022, 1.178] | — | — | age, sex, diabetes meliitus status, smoking status, LDL cholesterol, HDL cholesterol, systolic blood pressure, antihypertensive medication status, family history of CHD | — |
| PPM000147 | PGS000058 (CAD_GRS_204) |
PSS000092| European Ancestry| 5,360 individuals |
PGP000043 | Morieri ML et al. Diabetes Care (2018) |
Reported Trait: Major coronary events (MCE) events among Type 2 Diabetes patients | HR: 1.27 [1.18, 1.37] | — | — | age, sex, ACCORD study covariates (randomized treament assignement, clinical network, genotyping platform, PCs of genetic ancestry) | — |
| PPM000148 | PGS000058 (CAD_GRS_204) |
PSS000093| European Ancestry| 1,931 individuals |
PGP000043 | Morieri ML et al. Diabetes Care (2018) |
Reported Trait: Major coronary events (MCE) events among Type 2 Diabetes patients | HR: 1.35 [1.16, 1.58] | — | — | age, sex, ORIGIN study covariates (randomized treament assignement, PCs of genetic ancestry) | — |
| PPM000149 | PGS000059 (CHD46) |
PSS000095| European Ancestry| 1,206 individuals |
PGP000044 | Hajek C et al. Circ Genom Precis Med (2018) |
Reported Trait: Incident coronary heart disease | — | — | HR (top vs. bottom quartiles of GRS): 1.92 [1.19, 3.11] p-value (association between risk and incidence): 0.029 |
NR | — |
| PPM000898 | PGS000331 (PRS_AF) |
PSS000439| European Ancestry| 10,561 individuals |
PGP000100 | Mars N et al. Nat Med (2020) |
Reported Trait: Incident atrial fibrillation | — | C-index: 0.734 | — | CHARGE-AF calculator (age, height, weight, SBP, DBP, smoking status, blood-pressure-lowering medication, diabetes, heart failure and history of myocardial infarction), FINRISK cohort, genotyping array/batch, 10 ancestry PCs | 5-year risk |
| 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 |
| PPM000893 | PGS000331 (PRS_AF) |
PSS000439| European Ancestry| 10,561 individuals |
PGP000100 | Mars N et al. Nat Med (2020) |
Reported Trait: Incident atrial fibrillation | HR: 1.62 [1.54, 1.7] | C-index: 0.751 | — | age, sex, FINRISK cohort, genotyping array/batch, 10 ancestry PCs | 5-year risk |
| PPM000891 | PGS000329 (PRS_CHD) |
PSS000440| European Ancestry| 20,165 individuals |
PGP000100 | Mars N et al. Nat Med (2020) |
Reported Trait: Incident coronary heart disease | HR: 1.25 [1.18, 1.32] | C-index: 0.832 | — | age, sex, FINRISK cohort, genotyping array/batch, 10 ancestry PCs | 10-year risk |
| PPM000909 | PGS000337 (MetaPRS_CAD) |
PSS000456| East Asian Ancestry| 49,230 individuals |
PGP000104 | Koyama S et al. Nat Genet (2020) |
Reported Trait: Mortality (diseases of the circulatory system) | HR: 1.10351 [1.057, 1.152] | — | — | Sex, age, age^2, PCs (1-10), disease status | — |
| PPM000908 | PGS000337 (MetaPRS_CAD) |
PSS000454| East Asian Ancestry| 49,230 individuals |
PGP000104 | Koyama S et al. Nat Genet (2020) |
Reported Trait: All-cause Mortality | HR: 1.03159 [1.011, 1.052] | — | — | Sex, age, age^2, PCs (1-10), disease status | — |
| PPM000401 | PGS000013 (GPS_CAD) |
PSS000229| Hispanic or Latin American Ancestry| 919 individuals |
PGP000060 | Khera AV et al. Circulation (2019) |Ext. |
Reported Trait: Early-onset mycardial infarction (age ≤55 years) | OR: 1.56 [1.29, 1.88] | — | Odds Ratio (OR; top 5% vs. rest): 3.38 [2.03, 5.64] | 4 genetic PCs | — |
| PPM000400 | PGS000013 (GPS_CAD) |
PSS000228| African Ancestry| 1,298 individuals |
PGP000060 | Khera AV et al. Circulation (2019) |Ext. |
Reported Trait: Early-onset mycardial infarction (age ≤55 years) | OR: 1.46 [1.28, 1.66] | — | Odds Ratio (OR; top 5% vs. rest): 2.02 [1.29, 3.16] | 4 genetic PCs | — |
| PPM000399 | PGS000013 (GPS_CAD) |
PSS000230| European Ancestry| 3,081 individuals |
PGP000060 | Khera AV et al. Circulation (2019) |Ext. |
Reported Trait: Early-onset mycardial infarction (age ≤55 years) | OR: 2.06 [1.89, 2.25] | — | Odds Ratio (OR; top 5% vs. rest): 5.09 [3.82, 6.78] | 4 genetic PCs | — |
| PPM000518 | PGS000018 (metaGRS_CAD) |
PSS000287| European Ancestry| 1,319 individuals |
PGP000077 | Timmerman N et al. 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 | — |
| 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] | — | — | — | — |
| PPM000389 | PGS000016 (GPS_AF) |
PSS000217| European Ancestry| 10,303 individuals |
PGP000057 | Homburger JR et al. Genome Med (2019) |Ext. |
Reported Trait: Atrial Fibrillation (personal history) | — | AUROC: 0.57 | — | — | — |
| PPM000387 | PGS000013 (GPS_CAD) |
PSS000219| European Ancestry| 11,010 individuals |
PGP000057 | Homburger JR et al. Genome Med (2019) |Ext. |
Reported Trait: Coronary artery disease (personal history) | — | AUROC: 0.6 | — | — | — |
| PPM000497 | PGS000011 (GRS50) |
PSS000284| European Ancestry| 4,260 individuals |
PGP000076 | Khera AV et al. N Engl J Med (2016) |Ext. |
Reported Trait: Coronary artery calcification | — | — | Agatston score (mean, top 20% of GRS): 46.0 [9.0, 54.0] Agatston score (mean, btttom 25% of GRS): 21.0 [18.0, 25.0] |
— | — |
| PPM000916 | PGS000338 (GRS97_AF) |
PSS000462| European Ancestry| 3,759 individuals |
PGP000105 | Kloosterman M et al. Eur J Heart Fail (2020) |
Reported Trait: Atrial fibrillation | OR: 2.13 [1.86, 2.44] | — | — | age, sex, PCs (1-10) of ancestry | — |
| PPM000913 | PGS000338 (GRS97_AF) |
PSS000462| European Ancestry| 3,759 individuals |
PGP000105 | Kloosterman M et al. Eur J Heart Fail (2020) |
Reported Trait: Atrial fibrillation | OR: 2.12 [1.84, 2.45] | — | — | age, height, weight, systolic blood pressure, diastolic blood pressure, current smoking, hypertension, diabetes, myocardial infarction, PCs (1-10) of ancestry | — |
| 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 | — |
| PPM000917 | PGS000338 (GRS97_AF) |
PSS000461| European Ancestry| 2,262 individuals |
PGP000105 | Kloosterman M et al. Eur J Heart Fail (2020) |
Reported Trait: Atrial fibrillation in individuals with heart failure and a reduced ejection fraction | OR: 2.12 [1.77, 2.54] | — | — | age, sex, PCs (1-10) of ancestry | — |
| PPM000915 | PGS000338 (GRS97_AF) |
PSS000460| European Ancestry| 530 individuals |
PGP000105 | Kloosterman M et al. Eur J Heart Fail (2020) |
Reported Trait: Atrial fibrillation in individuals with heart failure and a preserved ejection fraction | OR: 2.02 [1.37, 2.99] | — | — | age, height, weight, systolic blood pressure, diastolic blood pressure, current smoking, hypertension, diabetes, myocardial infarction, PCs (1-10) of ancestry | — |
| PPM000914 | PGS000338 (GRS97_AF) |
PSS000461| European Ancestry| 2,262 individuals |
PGP000105 | Kloosterman M et al. Eur J Heart Fail (2020) |
Reported Trait: Atrial fibrillation in individuals with heart failure and a reduced ejection fraction | OR: 2.08 [1.72, 2.5] | — | — | age, height, weight, systolic blood pressure, diastolic blood pressure, current smoking, hypertension, diabetes, myocardial infarction, PCs (1-10) of ancestry | — |
| PPM000920 | PGS000338 (GRS97_AF) |
PSS000462| European Ancestry| 3,759 individuals |
PGP000105 | Kloosterman M et al. Eur J Heart Fail (2020) |
Reported Trait: Atrial fibrillation | — | AUROC: 0.721 [0.704, 737.0] | — | PCs (1-10) of ancestry, CHARGE-AF risk factors (age, height, weight, systolic blood pressure, diastolic blood pressure, current smoking, myocardial infarction, diabetes) | — |
| PPM000919 | PGS000338 (GRS97_AF) |
PSS000462| European Ancestry| 3,759 individuals |
PGP000105 | Kloosterman M et al. Eur J Heart Fail (2020) |
Reported Trait: Atrial fibrillation | — | AUROC: 0.606 [0.588, 0.624] | — | PCs (1-10) of ancestry | — |
| PPM000912 | PGS000337 (MetaPRS_CAD) |
PSS000455| East Asian Ancestry| 49,230 individuals |
PGP000104 | Koyama S et al. Nat Genet (2020) |
Reported Trait: Mortality (congestive heart failure) | HR: 1.15604 [1.042, 1.2283] | — | — | Sex, age, age^2, PCs (1-10), disease status | — |
| PPM000910 | PGS000337 (MetaPRS_CAD) |
PSS000458| East Asian Ancestry| 49,230 individuals |
PGP000104 | Koyama S et al. Nat Genet (2020) |
Reported Trait: Mortality (diseases of the respiratory system) | HR: 1.07133 [1.012, 1.134] | — | — | Sex, age, age^2, PCs (1-10), disease status | — |
| PPM000907 | PGS000337 (MetaPRS_CAD) |
PSS000459| East Asian Ancestry| 10,999 individuals |
PGP000104 | Koyama S et al. Nat Genet (2020) |
Reported Trait: Coronary artery disease | OR: 1.84 [1.744, 1.943] | AUROC: 0.674 [0.661, 0.687] | R²: 0.087 [0.074, 0.101] | — | — |
| PPM000918 | PGS000338 (GRS97_AF) |
PSS000460| European Ancestry| 530 individuals |
PGP000105 | Kloosterman M et al. Eur J Heart Fail (2020) |
Reported Trait: Atrial fibrillation in individuals with heart failure and a preserved ejection fraction | OR: 1.82 [1.28, 2.59] | — | — | age, sex, PCs (1-10) of ancestry | — |
| 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 | — |
| PPM000970 | PGS000341 (GRS33_SSc) |
PSS000489| European Ancestry| 339 individuals |
PGP000110 | Bossini-Castillo L et al. Ann Rheum Dis (2020) |
Reported Trait: Systemic sclerosis | — | AUROC: 0.787 [0.73, 0.84] | — | Systemic sclerosis status, age and immune cell counts of: memory B cells, resting NK cells, M0 macrophages and activated dendritic cells | *Some overlap with score development and testing samples |
| PPM000969 | PGS000341 (GRS33_SSc) |
PSS000489| European Ancestry| 339 individuals |
PGP000110 | Bossini-Castillo L et al. Ann Rheum Dis (2020) |
Reported Trait: Systemic sclerosis | — | AUROC: 0.722 | — | Systemic sclerosis status and immune cell counts of: memory B cells, resting NK cells, M0 macrophages and activated dendritic cells | *Some overlap with score development and testing samples |
| PPM000968 | PGS000341 (GRS33_SSc) |
PSS000489| European Ancestry| 339 individuals |
PGP000110 | Bossini-Castillo L et al. Ann Rheum Dis (2020) |
Reported Trait: Systemic sclerosis | — | AUROC: 0.644 | — | — | *Some overlap with score development and testing samples |
| PPM000996 | PGS000349 (PRS70_CAD) |
PSS000508| European Ancestry| 3,748 individuals |
PGP000114 | Pechlivanis S et al. BMC Med Genet (2020) |
Reported Trait: Coronary artery calcification | OR: 1.19 [1.1, 1.29] | — | — | age, sex, cardiovascular risk factors (systolic blood pressure, antihypertensive medication, smoking, LDL-cholestrol, HDL-cholesterol, lipid lowering medication, BMI and diabetes). | — |
| PPM000995 | PGS000349 (PRS70_CAD) |
PSS000505| European Ancestry| 4,041 individuals |
PGP000114 | Pechlivanis S et al. BMC Med Genet (2020) |
Reported Trait: Coronary artery calcification | OR: 1.18 [1.1, 1.27] | — | — | age, sex, cardiovascular risk factors (systolic blood pressure, antihypertensive medication, smoking, LDL-cholestrol, HDL-cholesterol, lipid lowering medication, BMI and diabetes). | — |
| PPM000993 | PGS000349 (PRS70_CAD) |
PSS000509| European Ancestry| 2,560 individuals |
PGP000114 | Pechlivanis S et al. BMC Med Genet (2020) |
Reported Trait: Incident Coronary Heart Disease in indiviuals with coronary artery calcification > 0 | HR: 1.21 [1.08, 1.36] | — | — | age, sex, cardiovascular risk factors (systolic blood pressure, antihypertensive medication, smoking, LDL-cholestrol, HDL-cholesterol, lipid lowering medication, BMI and diabetes). | — |
| PPM000992 | PGS000349 (PRS70_CAD) |
PSS000510| European Ancestry| 1,765 individuals |
PGP000114 | Pechlivanis S et al. BMC Med Genet (2020) |
Reported Trait: Incident Coronary Heart Disease in males | HR: 1.23 [1.07, 1.41] | — | — | age, cardiovascular risk factors (systolic blood pressure, antihypertensive medication, smoking, LDL-cholestrol, HDL-cholesterol, lipid lowering medication, BMI and diabetes) and coronary artery calcification. | — |
| PPM000991 | PGS000349 (PRS70_CAD) |
PSS000506| European Ancestry| 1,919 individuals |
PGP000114 | Pechlivanis S et al. BMC Med Genet (2020) |
Reported Trait: Incident Coronary Heart Disease in males | HR: 1.25 [1.1, 1.42] | — | — | age | — |
| PPM000990 | PGS000349 (PRS70_CAD) |
PSS000507| European Ancestry| 3,748 individuals |
PGP000114 | Pechlivanis S et al. BMC Med Genet (2020) |
Reported Trait: Incident Coronary Heart Disease | HR: 1.18 [1.06, 1.31] | — | — | age, sex, cardiovascular risk factors (systolic blood pressure, antihypertensive medication, smoking, LDL-cholestrol, HDL-cholesterol, lipid lowering medication, BMI and diabetes) and coronary artery calcification. | — |
| PPM000989 | PGS000349 (PRS70_CAD) |
PSS000504| European Ancestry| 4,041 individuals |
PGP000114 | Pechlivanis S et al. BMC Med Genet (2020) |
Reported Trait: Incident Coronary Heart Disease | HR: 1.18 [1.06, 1.31] | — | — | age, sex | — |
| PPM002180 | PGS000818 (GRS_Metabo) |
PSS001064| European Ancestry| 1,939 individuals |
PGP000202 | Bauer A et al. Genet Epidemiol (2021) |
Reported Trait: Incident coronary heart disease | HR: 1.2341 [1.1137, 1.3676] | — | — | — | — |
| PPM002181 | PGS000818 (GRS_Metabo) |
PSS001064| European Ancestry| 1,939 individuals |
PGP000202 | Bauer A et al. Genet Epidemiol (2021) |
Reported Trait: Incident coronary heart disease | HR: 1.2126 [1.0766, 1.3659] | — | — | Age, sex, survey | — |
| PPM002182 | PGS000013 (GPS_CAD) |
PSS001063| European Ancestry| 2,909 individuals |
PGP000202 | Bauer A et al. Genet Epidemiol (2021) |Ext. |
Reported Trait: Incident coronary heart disease | — | C-index: 0.573 [0.5254, 0.6212] | — | — | Only 6,481,934 SNPs from PGS000013 were utilised. SNPs were not included due to imputation quality R^2 < 0.3 |
| PPM000607 | PGS000200 (GRS28) |
PSS000334| European Ancestry| 39,758 individuals |
PGP000083 | Dikilitas O et al. Am J Hum Genet (2020) |Ext. |
Reported Trait: Incident coronary heart disease | HR: 1.18 [1.13, 1.23] | C-index: 0.697 | — | sex, eMERGE site, first five ancestry-specific principal components | — |
| PPM001757 | PGS000737 (PRS_BrS) |
PSS000905| European Ancestry| 1,185 individuals |
PGP000144 | Tadros R et al. Eur Heart J (2019) |
Reported Trait: Ajmaline-induced Type I Brugada syndrome electrocardiogram | OR: 1.174 [1.138, 1.21] | — | — | — | — |
| PPM001758 | PGS000737 (PRS_BrS) |
PSS000905| European Ancestry| 1,185 individuals |
PGP000144 | Tadros R et al. Eur Heart J (2019) |
Reported Trait: Ajmaline-induced Type I Brugada syndrome electrocardiogram | — | C-index: 0.68 [0.65, 0.71] | correlation coefficient (r): -0.14 | — | — |
| 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). | — |
| PPM000825 | PGS000117 (CVD_EJ2020) |
PSS000388| Multi-ancestry (including European)| 204,675 individuals |
PGP000054 | Elliott J et al. JAMA (2020) |
Reported Trait: Incident cardiovascular disease (under age 55) | — | C-index: 0.66 [0.65, 0.66] | — | age,sex | — |
| PPM000826 | PGS000117 (CVD_EJ2020) |
PSS000388| Multi-ancestry (including European)| 204,675 individuals |
PGP000054 | Elliott J et al. JAMA (2020) |
Reported Trait: Incident cardiovascular disease (under age 55) | — | C-index: 0.7 [0.7, 0.71] | — | pooled cohort equations | — |
| PPM000828 | PGS000117 (CVD_EJ2020) |
PSS000384| Multi-ancestry (including European)| 147,985 individuals |
PGP000054 | Elliott J et al. JAMA (2020) |
Reported Trait: Incident cardiovascular disease (over age 55) | — | C-index: 0.7 [0.69, 0.71] | — | age,sex | — |
| PPM000829 | PGS000117 (CVD_EJ2020) |
PSS000384| Multi-ancestry (including European)| 147,985 individuals |
PGP000054 | Elliott J et al. JAMA (2020) |
Reported Trait: Incident cardiovascular disease (over age 55) | — | C-index: 0.77 [0.76, 0.78] | — | pooled cohort equations | — |
| PPM000831 | PGS000117 (CVD_EJ2020) |
PSS000392| Multi-ancestry (including European)| 147,363 individuals |
PGP000054 | Elliott J et al. JAMA (2020) |
Reported Trait: Incident cardiovascular disease (in males) | — | C-index: 0.67 [0.66, 0.67] | — | age,sex | — |
| PPM000832 | PGS000117 (CVD_EJ2020) |
PSS000392| Multi-ancestry (including European)| 147,363 individuals |
PGP000054 | Elliott J et al. JAMA (2020) |
Reported Trait: Incident cardiovascular disease (in males) | — | C-index: 0.71 [0.71, 0.72] | — | pooled cohort equations | — |
| PPM001765 | PGS000739 (HCM_GRS) |
PSS000909| Multi-ancestry (including European)| 41,597 individuals |
PGP000146 | Harper AR et al. Nat Genet (2021) |
Reported Trait: Hypertrophic cardiomyopathy | OR: 1.73 [1.63, 1.83] | — | — | Age, gender, PCs(1-10) | — |
| PPM000834 | PGS000117 (CVD_EJ2020) |
PSS000396| Multi-ancestry (including European)| 205,297 individuals |
PGP000054 | Elliott J et al. JAMA (2020) |
Reported Trait: Incident cardiovascular disease (in females) | — | C-index: 0.69 [0.68, 0.7] | — | age,sex | — |
| PPM000835 | PGS000117 (CVD_EJ2020) |
PSS000396| Multi-ancestry (including European)| 205,297 individuals |
PGP000054 | Elliott J et al. JAMA (2020) |
Reported Trait: Incident cardiovascular disease (in females) | — | C-index: 0.74 [0.73, 0.75] | — | pooled cohort equations | — |
| 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 | — |
| 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 | — |
| PPM000823 | PGS000117 (CVD_EJ2020) |
PSS000400| Multi-ancestry (including European)| 352,660 individuals |
PGP000054 | Elliott J et al. JAMA (2020) |
Reported Trait: Incident cardiovascular disease | — | C-index: 0.75 [0.75, 0.76] | — | pooled cohort equations | — |
| PPM000605 | PGS000013 (GPS_CAD) |
PSS000335| Hispanic or Latin American Ancestry| 2,493 individuals |
PGP000083 | Dikilitas O et al. Am J Hum Genet (2020) |Ext. |
Reported Trait: Coronary heart disease (incident and prevalent) | OR: 1.42 [1.25, 1.61] | AUROC: 0.776 | — | age at first EHR record, duration of EHR, sex, eMERGE site, first five ancestry-specific principal components | — |
| PPM000604 | PGS000011 (GRS50) |
PSS000335| Hispanic or Latin American Ancestry| 2,493 individuals |
PGP000083 | Dikilitas O et al. Am J Hum Genet (2020) |Ext. |
Reported Trait: Coronary heart disease (incident and prevalent) | OR: 1.2 [1.06, 1.35] | AUROC: 0.769 | — | age at first EHR record, duration of EHR, sex, eMERGE site, first five ancestry-specific principal components | — |
| PPM000603 | PGS000018 (metaGRS_CAD) |
PSS000331| African Ancestry| 7,597 individuals |
PGP000083 | Dikilitas O et al. Am J Hum Genet (2020) |Ext. |
Reported Trait: Coronary heart disease (incident and prevalent) | OR: 1.4 [1.3, 1.52] | AUROC: 0.775 | — | age at first EHR record, duration of EHR, sex, eMERGE site, first five ancestry-specific principal components | — |
| PPM000602 | PGS000013 (GPS_CAD) |
PSS000331| African Ancestry| 7,597 individuals |
PGP000083 | Dikilitas O et al. Am J Hum Genet (2020) |Ext. |
Reported Trait: Coronary heart disease (incident and prevalent) | OR: 1.3 [1.21, 1.41] | AUROC: 0.771 | — | age at first EHR record, duration of EHR, sex, eMERGE site, first five ancestry-specific principal components | — |
| PPM000601 | PGS000011 (GRS50) |
PSS000331| African Ancestry| 7,597 individuals |
PGP000083 | Dikilitas O et al. Am J Hum Genet (2020) |Ext. |
Reported Trait: Coronary heart disease (incident and prevalent) | OR: 1.05 [0.98, 1.14] | AUROC: 0.763 | — | age at first EHR record, duration of EHR, sex, eMERGE site, first five ancestry-specific principal components | — |
| PPM000600 | PGS000018 (metaGRS_CAD) |
PSS000333| European Ancestry| 45,645 individuals |
PGP000083 | Dikilitas O et al. Am J Hum Genet (2020) |Ext. |
Reported Trait: Coronary heart disease (incident and prevalent) | OR: 1.73 [1.68, 1.78] | AUROC: 0.772 | — | age at first EHR record, duration of EHR, sex, eMERGE site, first five ancestry-specific principal components | — |
| PPM000599 | PGS000013 (GPS_CAD) |
PSS000333| European Ancestry| 45,645 individuals |
PGP000083 | Dikilitas O et al. Am J Hum Genet (2020) |Ext. |
Reported Trait: Coronary heart disease (incident and prevalent) | OR: 1.66 [1.62, 1.71] | AUROC: 0.77 | — | age at first EHR record, duration of EHR, sex, eMERGE site, first five ancestry-specific principal components | — |
| PPM000598 | PGS000011 (GRS50) |
PSS000333| European Ancestry| 45,645 individuals |
PGP000083 | Dikilitas O et al. Am J Hum Genet (2020) |Ext. |
Reported Trait: Coronary heart disease (incident and prevalent) | OR: 1.28 [1.25, 1.32] | AUROC: 0.75 | — | age at first EHR record, duration of EHR, sex, eMERGE site, first five ancestry-specific principal components | — |
| PPM000612 | PGS000200 (GRS28) |
PSS000335| Hispanic or Latin American Ancestry| 2,493 individuals |
PGP000083 | Dikilitas O et al. Am J Hum Genet (2020) |Ext. |
Reported Trait: Coronary heart disease (incident and prevalent) | OR: 1.27 [1.12, 1.42] | AUROC: 0.771 | — | age at first EHR record, duration of EHR, sex, eMERGE site, first five ancestry-specific principal components | — |
| PPM000611 | PGS000200 (GRS28) |
PSS000331| African Ancestry| 7,597 individuals |
PGP000083 | Dikilitas O et al. Am J Hum Genet (2020) |Ext. |
Reported Trait: Coronary heart disease (incident and prevalent) | OR: 1.07 [0.99, 1.16] | AUROC: 0.763 | — | age at first EHR record, duration of EHR, sex, eMERGE site, first five ancestry-specific principal components | — |
| PPM000610 | PGS000200 (GRS28) |
PSS000333| European Ancestry| 45,645 individuals |
PGP000083 | Dikilitas O et al. Am J Hum Genet (2020) |Ext. |
Reported Trait: Coronary heart disease (incident and prevalent) | OR: 1.24 [1.21, 1.28] | AUROC: 0.748 | — | age at first EHR record, duration of EHR, sex, eMERGE site, first five ancestry-specific principal components | — |
| PPM000609 | PGS000200 (GRS28) |
PSS000336| Hispanic or Latin American Ancestry| 2,194 individuals |
PGP000083 | Dikilitas O et al. Am J Hum Genet (2020) |Ext. |
Reported Trait: Incident coronary heart disease | HR: 1.14 [0.94, 1.37] | C-index: 0.655 | — | sex, eMERGE site, first five ancestry-specific principal components | — |
| PPM001746 | PGS000013 (GPS_CAD) |
PSS000898| African Ancestry| 16,755 individuals |
PGP000143 | Fahed AC et al. Circ Genom Precis Med (2020) |Ext. |
Reported Trait: Coronary artery disease | OR: 1.25 [1.12, 1.4] | — | — | PCs(1-4) | — |
| PPM001747 | PGS000013 (GPS_CAD) |
PSS000902| South Asian Ancestry| 8,102 individuals |
PGP000143 | Fahed AC et al. Circ Genom Precis Med (2020) |Ext. |
Reported Trait: Coronary artery disease | OR: 1.47 [1.36, 1.59] | — | — | PCs(1-4) | — |
| PPM000606 | PGS000018 (metaGRS_CAD) |
PSS000335| Hispanic or Latin American Ancestry| 2,493 individuals |
PGP000083 | Dikilitas O et al. Am J Hum Genet (2020) |Ext. |
Reported Trait: Coronary heart disease (incident and prevalent) | OR: 1.93 [1.67, 2.22] | AUROC: 0.794 | — | age at first EHR record, duration of EHR, sex, eMERGE site, first five ancestry-specific principal components | — |
| PPM000836 | PGS000116 (CAD_EJ2020) |
PSS000401| Multi-ancestry (including European)| 350,730 individuals |
PGP000054 | Elliott J et al. JAMA (2020) |
Reported Trait: Incident coronary artery disease | — | C-index: 0.74 [0.73, 0.75] | — | QRISK3 | — |
| PPM000837 | PGS000116 (CAD_EJ2020) |
PSS000389| Multi-ancestry (including European)| 203,620 individuals |
PGP000054 | Elliott J et al. JAMA (2020) |
Reported Trait: Incident coronary artery disease (over age 55) | — | C-index: 0.75 [0.74, 0.76] | — | QRISK3 | — |
| PPM000838 | PGS000116 (CAD_EJ2020) |
PSS000385| Multi-ancestry (including European)| 147,110 individuals |
PGP000054 | Elliott J et al. JAMA (2020) |
Reported Trait: Incident coronary artery disease (under age 55) | — | C-index: 0.83 [0.81, 0.84] | — | QRISK3 | — |
| PPM000839 | PGS000116 (CAD_EJ2020) |
PSS000393| Multi-ancestry (including European)| 146,573 individuals |
PGP000054 | Elliott J et al. JAMA (2020) |
Reported Trait: Incident coronary artery disease (in males) | — | C-index: 0.73 [0.72, 0.74] | — | QRISK3 | — |
| PPM000840 | PGS000116 (CAD_EJ2020) |
PSS000397| Multi-ancestry (including European)| 204,157 individuals |
PGP000054 | Elliott J et al. JAMA (2020) |
Reported Trait: Incident coronary artery disease (in females) | — | C-index: 0.78 [0.76, 0.79] | — | QRISK3 | — |
| PPM000841 | PGS000117 (CVD_EJ2020) |
PSS000402| Multi-ancestry (including European)| 350,730 individuals |
PGP000054 | Elliott J et al. JAMA (2020) |
Reported Trait: Incident cardiovascular disease | — | C-index: 0.75 [0.75, 0.76] | — | QRISK3 | — |
| PPM000842 | PGS000117 (CVD_EJ2020) |
PSS000390| Multi-ancestry (including European)| 203,620 individuals |
PGP000054 | Elliott J et al. JAMA (2020) |
Reported Trait: Incident cardiovascular disease (over age 55) | — | C-index: 0.7 [0.7, 0.71] | — | QRISK3 | — |
| PPM000843 | PGS000117 (CVD_EJ2020) |
PSS000386| Multi-ancestry (including European)| 147,110 individuals |
PGP000054 | Elliott J et al. JAMA (2020) |
Reported Trait: Incident cardiovascular disease (under age 55) | — | C-index: 0.77 [0.76, 0.78] | — | QRISK3 | — |
| PPM000844 | PGS000117 (CVD_EJ2020) |
PSS000394| Multi-ancestry (including European)| 146,573 individuals |
PGP000054 | Elliott J et al. JAMA (2020) |
Reported Trait: Incident cardiovascular disease (in males) | — | C-index: 0.71 [0.71, 0.72] | — | QRISK3 | — |
| PPM000845 | PGS000117 (CVD_EJ2020) |
PSS000398| Multi-ancestry (including European)| 204,157 individuals |
PGP000054 | Elliott J et al. JAMA (2020) |
Reported Trait: Incident cardiovascular disease (in females) | — | C-index: 0.74 [0.73, 0.75] | — | QRISK3 | — |
| PPM000743 | PGS000296 (GPS_CAD_SA) |
PSS000365| South Asian Ancestry| 491 individuals |
PGP000090 | Wang M et al. J Am Coll Cardiol (2020) |
Reported Trait: Myocardial infarction (first-ever) | OR: 1.6 [1.32, 1.94] | AUROC: 0.6632 | — | age, sex, top 5 genetic PCs | — |
| PPM000745 | PGS000296 (GPS_CAD_SA) |
PSS000366| South Asian Ancestry| 2,963 individuals |
PGP000090 | Wang M et al. J Am Coll Cardiol (2020) |
Reported Trait: Coronary artery disease | OR: 1.66 [1.53, 1.81] | AUROC: 0.712 | — | age, sex, top 5 genetic PCs | — |
| PPM001749 | PGS000013 (GPS_CAD) |
PSS000901| Hispanic or Latin American Ancestry| 9,085 individuals |
PGP000143 | Fahed AC et al. Circ Genom Precis Med (2020) |Ext. |
Reported Trait: Coronary artery disease | OR: 1.52 [1.43, 1.62] | — | — | PCs(1-4) | — |
| PPM000746 | PGS000296 (GPS_CAD_SA) |
PSS000366| South Asian Ancestry| 2,963 individuals |
PGP000090 | Wang M et al. J Am Coll Cardiol (2020) |
Reported Trait: Coronary artery disease | OR: 1.58 [1.42, 1.75] | — | — | age, sex, top 5 genetic PCs, diabetes, hypertension, hypercholesterolemia, smoking, body mass index | — |
| PPM000747 | PGS000013 (GPS_CAD) |
PSS000367| South Asian Ancestry| 7,244 individuals |
PGP000090 | Wang M et al. J Am Coll Cardiol (2020) |Ext. |
Reported Trait: Coronary artery disease | OR: 1.5302 | AUROC: 0.8021 | — | age, sex, top 5 genetic PCs | — |
| PPM000748 | PGS000013 (GPS_CAD) |
PSS000365| South Asian Ancestry| 491 individuals |
PGP000090 | Wang M et al. J Am Coll Cardiol (2020) |Ext. |
Reported Trait: Myocardial infarction (first-ever) | OR: 1.4605 | AUROC: 0.6482 | — | age, sex, top 5 genetic PCs | — |
| PPM000749 | PGS000013 (GPS_CAD) |
PSS000366| South Asian Ancestry| 2,963 individuals |
PGP000090 | Wang M et al. J Am Coll Cardiol (2020) |Ext. |
Reported Trait: Coronary artery disease | OR: 1.5793 | AUROC: 0.7066 | — | age, sex, top 5 genetic PCs | — |
| PPM000888 | PGS000331 (PRS_AF) |
PSS000442| European Ancestry| 135,300 individuals |
PGP000100 | Mars N et al. Nat Med (2020) |
Reported Trait: Atrial fibrillation (incident and prevalent cases) | HR: 1.62 [1.59, 1.65] | — | — | genotyping array/batch, 10 ancestry PCs, stratified by sex | — |
| PPM000886 | PGS000329 (PRS_CHD) |
PSS000445| European Ancestry| 135,300 individuals |
PGP000100 | Mars N et al. Nat Med (2020) |
Reported Trait: Coronary heart disease (incident and prevalent cases) | HR: 1.31 [1.29, 1.33] | — | — | genotyping array/batch, 10 ancestry PCs, stratified by sex | — |
| PPM000807 | PGS000116 (CAD_EJ2020) |
PSS000399| Multi-ancestry (including European)| 352,660 individuals |
PGP000054 | Elliott J et al. JAMA (2020) |
Reported Trait: Incident coronary artery disease | — | C-index: 0.76 [0.75, 0.76] | — | age,sex | — |
| PPM000808 | PGS000116 (CAD_EJ2020) |
PSS000399| Multi-ancestry (including European)| 352,660 individuals |
PGP000054 | Elliott J et al. JAMA (2020) |
Reported Trait: Incident coronary artery disease | — | C-index: 0.78 [0.77, 0.79] | — | pooled cohort equations | — |
| PPM000810 | PGS000116 (CAD_EJ2020) |
PSS000387| Multi-ancestry (including European)| 204,675 individuals |
PGP000054 | Elliott J et al. JAMA (2020) |
Reported Trait: Incident coronary artery disease (over age 55) | — | C-index: 0.71 [0.7, 0.72] | — | age,sex | — |
| PPM000811 | PGS000116 (CAD_EJ2020) |
PSS000387| Multi-ancestry (including European)| 204,675 individuals |
PGP000054 | Elliott J et al. JAMA (2020) |
Reported Trait: Incident coronary artery disease (over age 55) | — | C-index: 0.74 [0.73, 0.74] | — | pooled cohort equations | — |
| PPM000813 | PGS000116 (CAD_EJ2020) |
PSS000383| Multi-ancestry (including European)| 147,985 individuals |
PGP000054 | Elliott J et al. JAMA (2020) |
Reported Trait: Incident coronary artery disease (under age 55) | — | C-index: 0.76 [0.75, 0.78] | — | age,sex | — |
| PPM000814 | PGS000116 (CAD_EJ2020) |
PSS000383| Multi-ancestry (including European)| 147,985 individuals |
PGP000054 | Elliott J et al. JAMA (2020) |
Reported Trait: Incident coronary artery disease (under age 55) | — | C-index: 0.8 [0.79, 0.82] | — | pooled cohort equations | — |
| PPM001767 | PGS000739 (HCM_GRS) |
PSS000910| Multi-ancestry (including European)| 20,501 individuals |
PGP000146 | Harper AR et al. Nat Genet (2021) |
Reported Trait: Hypertrophic cardiomyopathy carrying a pathogenic sarcomere mutation | OR: 1.54 [1.39, 1.69] | — | — | Age, gender, PCs(1-10) | — |
| 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 | — |
| PPM002190 | PGS000819 (PRS_DR) |
PSS001067| Multi-ancestry (including European)| 6,079 individuals |
PGP000203 | Forrest IS et al. Hum Mol Genet (2021) |
Reported Trait: Retinal hemorrhage in inidividuals with type 2 diabetes | OR: 1.44 [1.03, 2.02] | — | — | — | — |
| 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 | — |
| PPM000822 | PGS000117 (CVD_EJ2020) |
PSS000400| Multi-ancestry (including European)| 352,660 individuals |
PGP000054 | Elliott J et al. JAMA (2020) |
Reported Trait: Incident cardiovascular disease | — | C-index: 0.71 [0.71, 0.72] | — | age,sex | — |
| 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 | — |
| PPM000824 | PGS000117 (CVD_EJ2020) |
PSS000388| Multi-ancestry (including European)| 204,675 individuals |
PGP000054 | Elliott J et al. JAMA (2020) |
Reported Trait: Incident cardiovascular disease (under age 55) | — | C-index: 0.56 [0.55, 0.56] | — | — | — |
| PPM000827 | PGS000117 (CVD_EJ2020) |
PSS000384| Multi-ancestry (including European)| 147,985 individuals |
PGP000054 | Elliott J et al. JAMA (2020) |
Reported Trait: Incident cardiovascular disease (over age 55) | — | C-index: 0.59 [0.58, 0.61] | — | — | — |
| PPM000830 | PGS000117 (CVD_EJ2020) |
PSS000392| Multi-ancestry (including European)| 147,363 individuals |
PGP000054 | Elliott J et al. JAMA (2020) |
Reported Trait: Incident cardiovascular disease (in males) | — | C-index: 0.57 [0.56, 0.57] | — | — | — |
| PPM000833 | PGS000117 (CVD_EJ2020) |
PSS000396| Multi-ancestry (including European)| 205,297 individuals |
PGP000054 | Elliott J et al. JAMA (2020) |
Reported Trait: Incident cardiovascular disease (in females) | — | C-index: 0.56 [0.55, 0.57] | — | — | — |
| 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] | — | — | — |
| PPM000821 | PGS000117 (CVD_EJ2020) |
PSS000400| Multi-ancestry (including European)| 352,660 individuals |
PGP000054 | Elliott J et al. JAMA (2020) |
Reported Trait: Incident cardiovascular disease | — | C-index: 0.56 [0.56, 0.57] | — | — | — |
| 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) | — |
| PPM001601 | PGS000709 (HC299) |
PSS000820| European Ancestry| 87,413 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Heart failure | — | AUROC: 0.53217 | — | Age, sex, PCs(1-10) | — |
| PPM001602 | PGS000710 (HC326) |
PSS000826| European Ancestry| 87,413 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Myocardial infarction | — | AUROC: 0.59348 | — | Age, sex, PCs(1-10) | — |
| PPM001606 | PGS000710 (HC326) |
PSS000827| European Ancestry| 135,300 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Myocardial infarction | HR: 1.19 [1.17, 1.22] | C-index: 0.707 | — | Age as time scale, sex, batch, PCs(1-10) | — |
| PPM001614 | PGS000709 (HC299) |
PSS000821| European Ancestry| 135,300 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Heart failure | HR: 1.08 [1.06, 1.1] | C-index: 0.635 | — | Age as time scale, sex, batch, PCs(1-10) | — |
| PPM001617 | PGS000013 (GPS_CAD) |
PSS000839| European Ancestry| 4,847 individuals |
PGP000129 | Mosley JD et al. JAMA (2020) |Ext. |
Reported Trait: Prevalent and incident coronary heart disease | OR: 1.89 [1.75, 2.03] | — | — | Age, sex, PCs (1-5) | — |
| PPM001618 | PGS000013 (GPS_CAD) |
PSS000837| European Ancestry| 4,847 individuals |
PGP000129 | Mosley JD et al. JAMA (2020) |Ext. |
Reported Trait: Incident coronary heart disease (10-year risk) | HR: 1.24 [1.15, 1.34] | C-index: 0.669 [0.644, 0.691] | — | Age, sex, PCs (1-5) | — |
| PPM001619 | PGS000013 (GPS_CAD) |
PSS000838| European Ancestry| 2,390 individuals |
PGP000129 | Mosley JD et al. JAMA (2020) |Ext. |
Reported Trait: Incident coronary heart disease (10-year risk) | HR: 1.38 [1.21, 1.58] | C-index: 0.672 [0.627, 0.705] | — | Age, sex, PCs (1-5) | — |
| PPM001621 | PGS000013 (GPS_CAD) |
PSS000838| European Ancestry| 2,390 individuals |
PGP000129 | Mosley JD et al. JAMA (2020) |Ext. |
Reported Trait: Incident coronary heart disease (10-year risk) | — | C-index: 0.681 [0.637, 0.715] | Δ C-index (PRS+covariates vs. covariates alone): 0.021 [-0.0004, 0.043] | Pooled cohort risk percentile, age, sex, PCs (1-5) | — |
| PPM001622 | PGS000013 (GPS_CAD) |
PSS000837| European Ancestry| 4,847 individuals |
PGP000129 | Mosley JD et al. JAMA (2020) |Ext. |
Reported Trait: Incident coronary heart disease (10-year risk) | — | C-index: 0.549 [0.521, 0.571] | — | PCs (1-5) | — |
| PPM001623 | PGS000013 (GPS_CAD) |
PSS000838| European Ancestry| 2,390 individuals |
PGP000129 | Mosley JD et al. JAMA (2020) |Ext. |
Reported Trait: Incident coronary heart disease (10-year risk) | — | C-index: 0.587 [0.532, 0.623] | — | PCs (1-5) | — |
| 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 |
| 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) | — |
| PPM001766 | PGS000739 (HCM_GRS) |
PSS000908| Multi-ancestry (including European)| 21,095 individuals |
PGP000146 | Harper AR et al. Nat Genet (2021) |
Reported Trait: Hypertrophic cardiomyopathy in individuals who do not carry a pathogenic sarcomere mutation | OR: 1.8 [1.67, 1.93] | — | — | Age, gender, PCs(1-10) | — |
| PPM001848 | PGS000013 (GPS_CAD) |
PSS000929| European Ancestry| 5,581 individuals |
PGP000152 | Gola D et al. Circ Genom Precis Med (2020) |Ext. |
Reported Trait: Coronary artery disease | — | AUROC: 0.6699 [0.6557, 0.684] | — | — | — |
| PPM001849 | PGS000013 (GPS_CAD) |
PSS000930| European Ancestry| 27,048 individuals |
PGP000152 | Gola D et al. Circ Genom Precis Med (2020) |Ext. |
Reported Trait: Coronary artery disease | — | AUROC: 0.5617 [0.5402, 0.5833] | — | — | — |
| PPM001850 | PGS000013 (GPS_CAD) |
PSS000931| European Ancestry| 431,814 individuals |
PGP000152 | Gola D et al. Circ Genom Precis Med (2020) |Ext. |
Reported Trait: Coronary artery disease | — | AUROC: 0.6374 [0.6335, 0.6412] | — | — | May be an overlap between score development and testing samples |
| PPM001836 | PGS000746 (PRS_UKB) |
PSS000931| European Ancestry| 431,814 individuals |
PGP000152 | Gola D et al. Circ Genom Precis Med (2020) |
Reported Trait: Coronary artery disease | — | AUROC: 0.6133 [0.6094, 0.6172] | Area under the Precision-Recall curve (AUPRC): 0.0752 [0.0745, 0.076] | — | — |
| PPM001837 | PGS000747 (PRS_EB) |
PSS000929| European Ancestry| 5,581 individuals |
PGP000152 | Gola D et al. Circ Genom Precis Med (2020) |
Reported Trait: Coronary artery disease | — | AUROC: 0.5407 [0.5253, 0.5561] | Area under the Precision-Recall curve (AUPRC): 0.498 [0.4962, 0.4998] | — | — |
| PPM001838 | PGS000747 (PRS_EB) |
PSS000930| European Ancestry| 27,048 individuals |
PGP000152 | Gola D et al. Circ Genom Precis Med (2020) |
Reported Trait: Coronary artery disease | — | AUROC: 0.6565 [0.6369, 0.676] | Area under the Precision-Recall curve (AUPRC): 0.0765 [0.0755, 0.0774] | — | — |
| PPM001840 | PGS000748 (PRS_DE) |
PSS000929| European Ancestry| 5,581 individuals |
PGP000152 | Gola D et al. Circ Genom Precis Med (2020) |
Reported Trait: Coronary artery disease | — | AUROC: 0.6752 [0.6612, 0.6891] | Area under the Precision-Recall curve (AUPRC): 0.6891 [0.6887, 0.6895] | — | — |
| PPM001844 | PGS000749 (PRS_COMBINED) |
PSS000931| European Ancestry| 431,814 individuals |
PGP000152 | Gola D et al. Circ Genom Precis Med (2020) |
Reported Trait: Coronary artery disease | — | AUROC: 0.5988 [0.5949, 0.6027] | Area under the Precision-Recall curve (AUPRC): 0.0697 [0.0688, 0.0705] | — | — |
| PPM001834 | PGS000746 (PRS_UKB) |
PSS000929| European Ancestry| 5,581 individuals |
PGP000152 | Gola D et al. Circ Genom Precis Med (2020) |
Reported Trait: Coronary artery disease | — | AUROC: 0.5143 [0.4992, 0.5294] | Area under the Precision-Recall curve (AUPRC): 0.5607 [0.5593, 0.5621] | — | — |
| PPM001835 | PGS000746 (PRS_UKB) |
PSS000930| European Ancestry| 27,048 individuals |
PGP000152 | Gola D et al. Circ Genom Precis Med (2020) |
Reported Trait: Coronary artery disease | — | AUROC: 0.6049 [0.5857, 0.6241] | Area under the Precision-Recall curve (AUPRC): 0.046 [0.0454, 0.0466] | — | — |
| PPM001847 | PGS000018 (metaGRS_CAD) |
PSS000931| European Ancestry| 431,814 individuals |
PGP000152 | Gola D et al. Circ Genom Precis Med (2020) |Ext. |
Reported Trait: Coronary artery disease | — | AUROC: 0.6377 [0.6339, 0.6416] | Area under the Precision-Recall curve (AUPRC): 0.0832 [0.083, 0.0835] | — | May be an overlap between score development and testing sample |
| PPM001912 | PGS000753 (PRS29_AAA) |
PSS000958| European Ancestry| 46,564 individuals |
PGP000159 | Klarin D et al. Circulation (2020) |
Reported Trait: Prevalent abdominal aortic aneurysm | OR: 1.37 [1.3, 1.44] | — | — | Age, sex, PCs (1-5) | — |
| PPM001913 | PGS000753 (PRS29_AAA) |
PSS000956| African Ancestry| 47,098 individuals |
PGP000159 | Klarin D et al. Circulation (2020) |
Reported Trait: Prevalent abdominal aortic aneurysm | OR: 1.15 [1.07, 1.24] | — | — | Age, sex, PCs (1-5) | — |
| PPM001915 | PGS000753 (PRS29_AAA) |
PSS000959| European Ancestry| 10,231 individuals |
PGP000159 | Klarin D et al. Circulation (2020) |
Reported Trait: Prevalent abdominal aortic aneurysm | OR: 1.31 [1.18, 1.46] | — | — | Age, sex, PCs (1-5) | — |
| PPM001917 | PGS000753 (PRS29_AAA) |
PSS000956| African Ancestry| 47,098 individuals |
PGP000159 | Klarin D et al. Circulation (2020) |
Reported Trait: Prevalent abdominal aortic aneurysm | OR: 1.13 [1.04, 1.22] | — | — | Age, sex, PCs (1-5), smoking, hypertension, low-density lipoprotein cholesterol with statin adjustment, high-density lipoprotein cholesterol, triglycerides, coronary artery disease as a marker of atherosclerosis burden. | — |
| PPM001918 | PGS000753 (PRS29_AAA) |
PSS000957| European Ancestry| 9,525 individuals |
PGP000159 | Klarin D et al. Circulation (2020) |
Reported Trait: Prevalent abdominal aortic aneurysm | OR: 1.58 [1.25, 1.98] | — | — | Age, sex, PCs (1-5), smoking, hypertension, low-density lipoprotein cholesterol with statin adjustment, high-density lipoprotein cholesterol, triglycerides, coronary artery disease as a marker of atherosclerosis burden. | — |
| PPM001914 | PGS000753 (PRS29_AAA) |
PSS000957| European Ancestry| 9,525 individuals |
PGP000159 | Klarin D et al. Circulation (2020) |
Reported Trait: Prevalent abdominal aortic aneurysm | OR: 2.46 [1.46, 4.14] | — | — | Age, sex, PCs (1-5) | — |
| PPM001916 | PGS000753 (PRS29_AAA) |
PSS000958| European Ancestry| 46,564 individuals |
PGP000159 | Klarin D et al. Circulation (2020) |
Reported Trait: Prevalent abdominal aortic aneurysm | OR: 1.34 [1.27, 1.41] | — | — | Age, sex, PCs (1-5), smoking, hypertension, low-density lipoprotein cholesterol with statin adjustment, high-density lipoprotein cholesterol, triglycerides, coronary artery disease as a marker of atherosclerosis burden. | — |
| PPM002398 | PGS000863 (Cardiovascular) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 0.95 [0.86, 1.05] | — | — | PC1-10 | — |
| 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. |
| PPM002016 | PGS000778 (PRSHCM) |
PSS000999| Ancestry Not Reported| 368 individuals |
PGP000182 | Tadros R et al. Nat Genet (2021) |
Reported Trait: Clinical events in individuals with a pathogenic or likely pathogenic sarcomeric variant | HR: 1.28 [1.06, 1.54] β: 0.247 (0.095) |
— | — | Genetic relatedness matrix, sex | Clinical events includes time to septal reduction therapy, cardiac transplantation, sustained ventricular arrhythmia, sudden cardiac death, appropriate ICD therapy or atrial fibrillation/flutter. |
| PPM002017 | PGS000778 (PRSHCM) |
PSS001000| Ancestry Not Reported| 368 individuals |
PGP000182 | Tadros R et al. Nat Genet (2021) |
Reported Trait: Major clinical events in individuals with a pathogenic or likely pathogenic sarcomeric variant | HR: 1.29 [1.04, 1.59] β: 0.255 (0.108) |
— | — | Genetic relatedness matrix, sex | Major clinical events includes time to septal reduction therapy, cardiac transplantation, sustained ventricular arrhythmia, sudden cardiac death or appropriate ICD therapy. |
| PPM002018 | PGS000778 (PRSHCM) |
PSS001004| Ancestry Not Reported| 368 individuals |
PGP000182 | Tadros R et al. Nat Genet (2021) |
Reported Trait: Septal reduction therapy in individuals with a pathogenic or likely pathogenic sarcomeric variant | HR: 1.36 [1.06, 1.74] β: 0.304 (0.127) |
— | — | Genetic relatedness matrix, sex | Septal reduction therapy includes time time to septal myectomy or alcohol septal ablation. |
| PPM002019 | PGS000016 (GPS_AF) |
PSS000998| Ancestry Not Reported| 368 individuals |
PGP000182 | Tadros R et al. Nat Genet (2021) |Ext. |
Reported Trait: Atrial fibrillation or atrial flutter in individuals with a pathogenic or likely pathogenic sarcomeric variant | HR: 1.5 [1.17, 1.91] β: 0.402 (0.124) |
— | — | Genetic relatedness matrix, sex | — |
| PPM002020 | PGS000778 (PRSHCM) |
PSS001003| Ancestry Not Reported| 194 individuals |
PGP000182 | Tadros R et al. Nat Genet (2021) |
Reported Trait: Maximal left ventricular wall thickness indexed to body surface area (mm/m^2) in individuals with a pathogenic or likely pathogenic sarcomeric variant | β: 0.731 (0.238) | — | — | Genetic relatedness matrix | Each standard deviation increase in the polgyenic risk score is associated with 0.7 mm m^-2 increase in maximal left ventricular wall thickness. |
| PPM002021 | PGS000778 (PRSHCM) |
PSS001002| Ancestry Not Reported| 214 individuals |
PGP000182 | Tadros R et al. Nat Genet (2021) |
Reported Trait: Clinical events in in individuals with a pathogenic or likely pathogenic sarcomeric variant | HR: 1.53 [1.05, 2.22] β: 0.422 (0.193) |
— | — | Genetic relatedness matrix, sex | Clinical events includes time to septal reduction therapy, cardiac transplantation, sustained ventricular arrhythmia, sudden cardiac death, appropriate ICD therapy or atrial fibrillation/flutter. |
| 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 | — |
| PPM002015 | PGS000778 (PRSHCM) |
PSS001001| Ancestry Not Reported| 322 individuals |
PGP000182 | Tadros R et al. Nat Genet (2021) |
Reported Trait: Maximal left ventricular wall thickness indexed to body surface area (mm/m^2) in individuals with a pathogenic or likely pathogenic sarcomeric variant | β: 0.726 (0.188) | — | — | Genetic relatedness matrix | Each standard deviation increase in the polgyenic risk score is associated with 0.7 mm m^-2 increase in maximal left ventricular wall thickness. |
| 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. |
| PPM002178 | PGS000818 (GRS_Metabo) |
PSS001063| European Ancestry| 2,909 individuals |
PGP000202 | Bauer A et al. Genet Epidemiol (2021) |
Reported Trait: Incident coronary heart disease | — | C-index: 0.7571 [0.7234, 0.7908] | — | Age, sex, survey | — |
| PPM002179 | PGS000818 (GRS_Metabo) |
PSS001063| European Ancestry| 2,909 individuals |
PGP000202 | Bauer A et al. Genet Epidemiol (2021) |
Reported Trait: Incident coronary heart disease | — | C-index: 0.792 [0.7622, 0.8219] | — | Age, sex, survey, Framingham risk score (diabetes status, current and former smoking status, systolic blood pressure, antihypertensive medication, HDL cholesterol, total cholesterol) | — |
| PPM002183 | PGS000013 (GPS_CAD) |
PSS001063| European Ancestry| 2,909 individuals |
PGP000202 | Bauer A et al. Genet Epidemiol (2021) |Ext. |
Reported Trait: Incident coronary heart disease | — | C-index: 0.7752 [0.7443, 0.8029] | — | Age, sex, survey | Only 6,481,934 SNPs from PGS000013 were utilised. SNPs were not included due to imputation quality R^2 < 0.3 |
| PPM002184 | PGS000013 (GPS_CAD) |
PSS001063| European Ancestry| 2,909 individuals |
PGP000202 | Bauer A et al. Genet Epidemiol (2021) |Ext. |
Reported Trait: Incident coronary heart disease | — | C-index: 0.8012 [0.7775, 0.8353] | — | Age, sex, survey, Framingham risk score (diabetes status, current and former smoking status, systolic blood pressure, antihypertensive medication, HDL cholesterol, total cholesterol) | Only 6,481,934 SNPs from PGS000013 were utilised. SNPs were not included due to imputation quality R^2 < 0.3 |
| PPM002185 | PGS000819 (PRS_DR) |
PSS001067| Multi-ancestry (including European)| 6,079 individuals |
PGP000203 | Forrest IS et al. Hum Mol Genet (2021) |
Reported Trait: Diabetic retinopathy in individuals with type 2 diabetes | OR: 1.12 [1.04, 1.2] | — | — | — | — |
| PPM002186 | PGS000819 (PRS_DR) |
PSS001066| European Ancestry| 978 individuals |
PGP000203 | Forrest IS et al. Hum Mol Genet (2021) |
Reported Trait: Diabetic retinopathy in individuals with type 2 diabetes | OR: 1.22 [1.02, 1.41] | — | — | — | — |
| PPM002187 | PGS000819 (PRS_DR) |
PSS001065| African Ancestry| 1,925 individuals |
PGP000203 | Forrest IS et al. Hum Mol Genet (2021) |
Reported Trait: Diabetic retinopathy in individuals with type 2 diabetes | OR: 1.15 [1.03, 1.28] | — | — | — | — |
| PPM002188 | PGS000819 (PRS_DR) |
PSS001067| Multi-ancestry (including European)| 6,079 individuals |
PGP000203 | Forrest IS et al. Hum Mol Genet (2021) |
Reported Trait: Diabetic retinopathy in individuals with type 2 diabetes | — | — | Odds Ratio (OR, top 10% vs bottom 10%): 1.8 [1.28, 2.55] | Age, sex, body mass index, PCs(1-20), history of hypertension, glucose levels | — |
| PPM002189 | PGS000819 (PRS_DR) |
PSS001067| Multi-ancestry (including European)| 6,079 individuals |
PGP000203 | Forrest IS et al. Hum Mol Genet (2021) |
Reported Trait: Diabetic retinopathy in individuals with type 2 diabetes | OR: 1.14 [1.05, 1.23] | — | — | PCs(1-20), type 2 diabetes duration, type 2 diabetes medication, hyperglycemia, elevated HbA1c, hypertension, hypercholesterolemia, hyperlipidemia, insomina, sleep apnea, age, sex, body mass index | — |
| PPM002191 | PGS000819 (PRS_DR) |
PSS001067| Multi-ancestry (including European)| 6,079 individuals |
PGP000203 | Forrest IS et al. Hum Mol Genet (2021) |
Reported Trait: Diplopia in individuals with type 2 diabetes | OR: 1.31 [1.02, 1.7] | — | — | — | — |
| PPM002192 | PGS000819 (PRS_DR) |
PSS001067| Multi-ancestry (including European)| 6,079 individuals |
PGP000203 | Forrest IS et al. Hum Mol Genet (2021) |
Reported Trait: Time to diabetic retinopathy diagnosis in individuals with type 2 diabetes | HR: 1.13 [1.05, 1.21] | — | — | Age, sex, body mass index, PCs(1-20), history of hypertension, glucose levels | — |
| PPM002393 | PGS000862 (DR) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 0.98 [0.89, 1.08] | — | — | PC1-10 | — |
| PPM002395 | PGS000862 (DR) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.09 [1.02, 1.17] | — | — | PC1-10 | — |
| PPM002400 | PGS000863 (Cardiovascular) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.02 [0.96, 1.1] | — | — | PC1-10 | — |
| PPM002401 | PGS000863 (Cardiovascular) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 0.98 [0.92, 1.05] | — | — | PC1-10 | — |
| PPM002402 | PGS000863 (Cardiovascular) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 0.98 [0.93, 1.04] | — | — | PC1-10 | — |
| PPM002641 | PGS000899 (PRS176_CHD) |
PSS001168| European Ancestry| 7,403 individuals |
PGP000232 | Feitosa MF et al. Circ Genom Precis Med (2021) |
Reported Trait: Prevalent coronary heart disease age-at-onset | HR: 1.35 [1.26, 1.45] | — | — | Age, sex, study, type II diabetes, hypertension, high density lipoprotein cholesterol, low density lipoprotein cholesterol, waist circumference, current cigarette smoking, current alcohol drinking. | — |
| PPM002642 | PGS000899 (PRS176_CHD) |
PSS001168| European Ancestry| 7,403 individuals |
PGP000232 | Feitosa MF et al. Circ Genom Precis Med (2021) |
Reported Trait: Prevalent coronary heart disease age-at-onset | HR: 1.7 [1.41, 2.05] | — | — | Age, sex, study, PRS*sex, PRS*LLFS, PRS*FamnHS-High risk, type II diabetes, hypertension, high density lipoprotein cholesterol, low density lipoprotein cholesterol, waist circumference, current cigarette smoking, current alcohol drinking. | — |
| PPM002643 | PGS000899 (PRS176_CHD) |
PSS001168| European Ancestry| 7,403 individuals |
PGP000232 | Feitosa MF et al. Circ Genom Precis Med (2021) |
Reported Trait: Prevalent coronary heart disease age-at-onset | HR: 1.75 [1.16, 2.65] | — | — | Age, sex, study, PRS*LLFS, PRS*FamnHS-High risk, type II diabetes, hypertension, high density lipoprotein cholesterol, low density lipoprotein cholesterol, menopause, waist circumference, current cigarette smoking, current alcohol drinking. | — |
| PPM002644 | PGS000899 (PRS176_CHD) |
PSS001168| European Ancestry| 7,403 individuals |
PGP000232 | Feitosa MF et al. Circ Genom Precis Med (2021) |
Reported Trait: Prevalent coronary heart disease age-at-onset (males) | HR: 1.57 [1.28, 1.92] | — | — | Age, study, PRS*LLFS, PRS*FamnHS-High risk, type II diabetes, hypertension, high density lipoprotein cholesterol, low density lipoprotein cholesterol, waist circumference, current cigarette smoking, current alcohol drinking. | — |
| PPM002645 | PGS000899 (PRS176_CHD) |
PSS001168| European Ancestry| 7,403 individuals |
PGP000232 | Feitosa MF et al. Circ Genom Precis Med (2021) |
Reported Trait: Prevalent coronary heart disease age-at-onset (males) | HR: 1.42 [1.3, 1.54] | — | — | Age, study, type II diabetes, hypertension, high density lipoprotein cholesterol, low density lipoprotein cholesterol, waist circumference, current cigarette smoking, current alcohol drinking. | — |
| PPM002647 | PGS000899 (PRS176_CHD) |
PSS001168| European Ancestry| 7,403 individuals |
PGP000232 | Feitosa MF et al. Circ Genom Precis Med (2021) |
Reported Trait: Prevalent coronary heart disease age-at-onset (females) | HR: 1.18 [1.04, 1.34] | — | — | Age, study, type II diabetes, hypertension, high density lipoprotein cholesterol, low density lipoprotein cholesterol, waist circumference, current cigarette smoking, current alcohol drinking. | — |
| PPM002640 | PGS000899 (PRS176_CHD) |
PSS001168| European Ancestry| 7,403 individuals |
PGP000232 | Feitosa MF et al. Circ Genom Precis Med (2021) |
Reported Trait: Prevalent coronary heart disease age-at-onset | HR: 1.6 [1.33, 1.92] | — | — | Age, sex, study, PRS*LLFS, PRS*FamnHS-High risk, type II diabetes, hypertension, high density lipoprotein cholesterol, low density lipoprotein cholesterol, waist circumference, current cigarette smoking, current alcohol drinking. | — |
| PPM002646 | PGS000899 (PRS176_CHD) |
PSS001168| European Ancestry| 7,403 individuals |
PGP000232 | Feitosa MF et al. Circ Genom Precis Med (2021) |
Reported Trait: Prevalent coronary heart disease age-at-onset (females) | HR: 1.76 [1.16, 2.68] | — | — | Age, study, PRS*LLFS, PRS*FamnHS-High risk, type II diabetes, hypertension, high density lipoprotein cholesterol, low density lipoprotein cholesterol, waist circumference, current cigarette smoking, current alcohol drinking. | — |
| PPM002960 | PGS000911 (PRS_IS) |
PSS001445| European Ancestry| 15,929 individuals |
PGP000239 | O'Sullivan JW et al. Circ Genom Precis Med (2021) |
Reported Trait: Ischemic stroke in atrial fibrillation cases | OR: 1.14 [1.06, 1.23] | — | — | Age at recruitment, sex, UK Biobank array type, PCs(1-10) | — |
| PPM002961 | PGS000911 (PRS_IS) |
PSS001445| European Ancestry| 15,929 individuals |
PGP000239 | O'Sullivan JW et al. Circ Genom Precis Med (2021) |
Reported Trait: Ischemic stroke in atrial fibrillation cases | OR: 1.14 [1.06, 1.23] | AUROC: 0.605 [0.583, 0.626] | — | Age at recruitment, sex, UK Biobank array type, PCs(1-10), presence of warfarin prescription | — |
| PPM002962 | PGS000911 (PRS_IS) |
PSS001445| European Ancestry| 15,929 individuals |
PGP000239 | O'Sullivan JW et al. Circ Genom Precis Med (2021) |
Reported Trait: Ischemic stroke in atrial fibrillation cases who had not been prescribed warfarin | OR: 1.14 [1.05, 1.24] | — | — | Age at recruitment, sex, UK Biobank array type, PCs(1-10) | — |
| PPM002963 | PGS000911 (PRS_IS) |
PSS001445| European Ancestry| 15,929 individuals |
PGP000239 | O'Sullivan JW et al. Circ Genom Precis Med (2021) |
Reported Trait: Ischemic stroke in atrial fibrillation cases | OR: 1.14 [1.06, 1.23] | — | — | Age at recruitment, sex, UK Biobank array type, PCs(1-10), cumulative CHA2DS2-VASc score | — |
| PPM002964 | PGS000911 (PRS_IS) |
PSS001445| European Ancestry| 15,929 individuals |
PGP000239 | O'Sullivan JW et al. Circ Genom Precis Med (2021) |
Reported Trait: Ischemic stroke in atrial fibrillation cases | OR: 1.14 | — | — | Age at recruitment, sex, UK Biobank array type, PCs(1-10), individual components of CHA2DS2-VASc score | — |
| PPM002965 | PGS000911 (PRS_IS) |
PSS001445| European Ancestry| 15,929 individuals |
PGP000239 | O'Sullivan JW et al. Circ Genom Precis Med (2021) |
Reported Trait: Ischemic stroke in atrial fibrillation cases | HR: 1.13 [1.04, 1.21] | C-index: 0.56 [0.54, 0.58] | — | Sex, UK Biobank array, PCs(1-10) | — |
| PPM002966 | PGS000911 (PRS_IS) |
PSS001445| European Ancestry| 15,929 individuals |
PGP000239 | O'Sullivan JW et al. Circ Genom Precis Med (2021) |
Reported Trait: Ischemic stroke in atrial fibrillation cases | HR: 1.14 [1.01, 1.23] | C-index: 0.56 [0.54, 0.58] | — | Sex, age, UK Biobank array, PCs(1-10) | — |
| PPM002967 | PGS000911 (PRS_IS) |
PSS001445| European Ancestry| 15,929 individuals |
PGP000239 | O'Sullivan JW et al. Circ Genom Precis Med (2021) |
Reported Trait: Ischemic stroke in atrial fibrillation cases who had not been prescribed warfarin | HR: 1.13 [1.04, 1.22] | C-index: 0.57 [0.54, 0.59] | — | Sex, UK Biobank array, PCs(1-10) | — |
| PPM002968 | PGS000911 (PRS_IS) |
PSS001445| European Ancestry| 15,929 individuals |
PGP000239 | O'Sullivan JW et al. Circ Genom Precis Med (2021) |
Reported Trait: Ischemic stroke in atrial fibrillation cases | — | C-index: 0.61 [0.58, 0.63] | — | Sex, UK Biobank array, PCs(1-10), cumulative CHA2DS2-VASc score | — |
| PPM002399 | PGS000863 (Cardiovascular) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 0.99 [0.93, 1.07] | — | — | PC1-10 | — |
| PPM002397 | PGS000862 (DR) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 1.01 [0.96, 1.07] | — | — | PC1-10 | — |
| PPM005152 | PGS000018 (metaGRS_CAD) |
PSS003597| Multi-ancestry (including European)| 12,413 individuals |
PGP000248 | Liou L et al. Breast Cancer Res (2021) |Ext. |
Reported Trait: Incident coronary artery disease survival in individuals with breast cancer | HR: 1.36 [1.23, 1.5] | — | — | Age | SNPs with imputation quality scores of less than 0.3 and ambiguous strand SNPs (A/T and G/C pairs) were excluded from PGS000018. |
| PPM005153 | PGS000018 (metaGRS_CAD) |
PSS003596| European Ancestry| 8,946 individuals |
PGP000248 | Liou L et al. Breast Cancer Res (2021) |Ext. |
Reported Trait: Incident coronary artery disease in individuals with breast cancer | HR: 1.36 [1.23, 1.51] | — | — | Age at diagnosis, genotype array, PCs(1-8) | SNPs with imputation quality scores of less than 0.3 and ambiguous strand SNPs (A/T and G/C pairs) were excluded from PGS000018. |
| PPM005154 | PGS000018 (metaGRS_CAD) |
PSS003596| European Ancestry| 8,946 individuals |
PGP000248 | Liou L et al. Breast Cancer Res (2021) |Ext. |
Reported Trait: Incident coronary artery disease in individuals with breast cancer | HR: 1.34 [1.21, 1.49] | — | — | Age at diagnosis, genotype array, PCs(1-8), body mass index, smoking | SNPs with imputation quality scores of less than 0.3 and ambiguous strand SNPs (A/T and G/C pairs) were excluded from PGS000018. |
| PPM005155 | PGS000018 (metaGRS_CAD) |
PSS003596| European Ancestry| 8,946 individuals |
PGP000248 | Liou L et al. Breast Cancer Res (2021) |Ext. |
Reported Trait: Incident coronary artery disease in individuals with breast cancer | HR: 1.34 [1.21, 1.48] | — | — | Age at diagnosis, genotype array, PCs(1-8), body mass index, smoking, sociodemographic variables | SNPs with imputation quality scores of less than 0.3 and ambiguous strand SNPs (A/T and G/C pairs) were excluded from PGS000018. |
| PPM005156 | PGS000018 (metaGRS_CAD) |
PSS003596| European Ancestry| 8,946 individuals |
PGP000248 | Liou L et al. Breast Cancer Res (2021) |Ext. |
Reported Trait: Incident coronary artery disease in individuals with breast cancer | HR: 1.33 [1.2, 1.48] | — | — | Age at diagnosis, genotype array, PCs(1-8), body mass index, smoking, sociodemographic variables, medical variables | SNPs with imputation quality scores of less than 0.3 and ambiguous strand SNPs (A/T and G/C pairs) were excluded from PGS000018. |
| PPM005157 | PGS000018 (metaGRS_CAD) |
PSS003596| European Ancestry| 8,946 individuals |
PGP000248 | Liou L et al. Breast Cancer Res (2021) |Ext. |
Reported Trait: Incident coronary artery disease in individuals with breast cancer | HR: 1.33 [1.2, 1.47] | — | — | Age at diagnosis, genotype array, PCs(1-8), body mass index, smoking, sociodemographic variables, medical variables, oncotherapies | SNPs with imputation quality scores of less than 0.3 and ambiguous strand SNPs (A/T and G/C pairs) were excluded from PGS000018. |
| PPM005158 | PGS000012 (GRS49K) |
PSS003596| European Ancestry| 8,946 individuals |
PGP000248 | Liou L et al. Breast Cancer Res (2021) |Ext. |
Reported Trait: Incident coronary artery disease in individuals with breast cancer | HR: 1.31 [1.19, 1.44] | — | — | Age at diagnosis, genotype array, PCs(1-8), body mass index, smoking, sociodemographic variables, medical variables, oncotherapies | — |
| PPM005187 | PGS001355 (CAD_AnnoPred_PRS) |
PSS003605| European Ancestry| 176,238 individuals |
PGP000252 | Ye Y et al. Circ Genom Precis Med (2021) |
Reported Trait: Coronary artery disease | — | AUROC: 0.6425 | — | Age, sex, PCs(1-10) | — |
| PPM005188 | PGS001356 (AF_AnnoPred_PRS) |
PSS003604| European Ancestry| 178,651 individuals |
PGP000252 | Ye Y et al. Circ Genom Precis Med (2021) |
Reported Trait: Atrial fibrillation | — | AUROC: 0.6321 | — | Age, sex, PCs(1-10) | — |
| PPM002394 | PGS000862 (DR) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.03 [0.96, 1.1] | — | — | PC1-10 | — |
| PPM002396 | PGS000862 (DR) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.09 [1.02, 1.17] | — | — | PC1-10 | — |
| PPM009241 | PGS000013 (GPS_CAD) |
PSS007665| European Ancestry| 1,132 individuals |
PGP000257 | Wells QS et al. Circ Genom Precis Med (2021) |Ext. |
Reported Trait: Coronary artery calcium score > 20 | OR: 1.74 [1.29, 2.36] | AUROC: 0.794 [0.728, 0.84] | — | Age, sex, PCs(1-5) | — |
| PPM009242 | PGS000013 (GPS_CAD) |
PSS007665| European Ancestry| 1,132 individuals |
PGP000257 | Wells QS et al. Circ Genom Precis Med (2021) |Ext. |
Reported Trait: Coronary artery calcium score > 20 | OR: 1.87 [1.41, 2.5] | — | — | — | — |
| PPM009243 | PGS000013 (GPS_CAD) |
PSS007665| European Ancestry| 1,132 individuals |
PGP000257 | Wells QS et al. Circ Genom Precis Med (2021) |Ext. |
Reported Trait: Coronary artery calcium score > 20 | — | AUROC: 0.864 [0.807, 0.904] | C statistic change (vs. no PRS): 0.015 [0.004, 0.028] Integrated discrimination improvement (vs. no PRS): 0.027 [-0.006, 0.054] |
Age, sex, PCs(1-5), systolic blood pressure, total cholesterol, high density lipoprotein cholesterol, triglycerides, current smoker, waist circumference | — |
| PPM009244 | PGS000013 (GPS_CAD) |
PSS007666| European Ancestry| 663 individuals |
PGP000257 | Wells QS et al. Circ Genom Precis Med (2021) |Ext. |
Reported Trait: Coronary artery calcium score > 300 | OR: 1.9 [1.42, 2.54] | AUROC: 0.804 [0.751, 0.845] | — | Age, sex, PCs(1-5) | — |
| PPM009245 | PGS000013 (GPS_CAD) |
PSS007666| European Ancestry| 663 individuals |
PGP000257 | Wells QS et al. Circ Genom Precis Med (2021) |Ext. |
Reported Trait: Coronary artery calcium score > 300 | OR: 2.11 [1.57, 2.83] | — | — | — | — |
| PPM009246 | PGS000013 (GPS_CAD) |
PSS007666| European Ancestry| 663 individuals |
PGP000257 | Wells QS et al. Circ Genom Precis Med (2021) |Ext. |
Reported Trait: Coronary artery calcium score > 300 | — | AUROC: 0.855 [0.805, 0.887] | C statistic change (vs. no PRS): 0.02 [0.001, 0.039] Integrated discrimination improvement (vs. no PRS): 0.039 [0.0005, 0.072] |
Age, sex, PCs(1-5), systolic blood pressure, total cholesterol, high density lipoprotein cholesterol, triglycerides, current smoker, body mass index | — |
| PPM009271 | PGS001779 (BRSprs) |
PSS007680| European Ancestry| 359,017 individuals |
PGP000260 | Barc J et al. Nat Genet (2022) |
Reported Trait: Supraventricular tachycardia | OR: 0.92 [0.89, 0.96] | — | p-value: 4e-05 | — | — |
| PPM007477 | PGS000930 (GBE_BIN_FC3006152) |
PSS003914| African Ancestry| 4,286 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Blood clot diagnosed by doctor | — | AUROC: 0.64618 [0.56748, 0.72489] | R²: 0.02826 Incremental AUROC (full-covars): 0.00845 PGS R2 (no covariates): 0.00198 PGS AUROC (no covariates): 0.53535 [0.45318, 0.61752] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007478 | PGS000930 (GBE_BIN_FC3006152) |
PSS003915| East Asian Ancestry| 945 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Blood clot diagnosed by doctor | — | AUROC: 0.83468 [0.6451, 1.0] | R²: 0.18847 Incremental AUROC (full-covars): -0.00149 PGS R2 (no covariates): 0.00357 PGS AUROC (no covariates): 0.56702 [0.36049, 0.77355] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007479 | PGS000930 (GBE_BIN_FC3006152) |
PSS003916| European Ancestry| 17,235 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Blood clot diagnosed by doctor | — | AUROC: 0.62906 [0.59189, 0.66622] | R²: 0.02094 Incremental AUROC (full-covars): 0.04321 PGS R2 (no covariates): 0.01048 PGS AUROC (no covariates): 0.59654 [0.5564, 0.63667] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007480 | PGS000930 (GBE_BIN_FC3006152) |
PSS003917| South Asian Ancestry| 5,381 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Blood clot diagnosed by doctor | — | AUROC: 0.71068 [0.63185, 0.78951] | R²: 0.04649 Incremental AUROC (full-covars): 0.02778 PGS R2 (no covariates): 0.00789 PGS AUROC (no covariates): 0.59225 [0.49685, 0.68766] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007481 | PGS000930 (GBE_BIN_FC3006152) |
PSS003918| European Ancestry| 46,847 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Blood clot diagnosed by doctor | — | AUROC: 0.6205 [0.59778, 0.64322] | R²: 0.01789 Incremental AUROC (full-covars): 0.05259 PGS R2 (no covariates): 0.01324 PGS AUROC (no covariates): 0.60274 [0.57915, 0.62633] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007482 | PGS000931 (GBE_BIN_FC11006152) |
PSS003790| African Ancestry| 4,390 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Blood clot or DVT diagnosed by doctor | — | AUROC: 0.61925 [0.57619, 0.6623] | R²: 0.02193 Incremental AUROC (full-covars): -0.00229 PGS R2 (no covariates): 0.00035 PGS AUROC (no covariates): 0.50724 [0.46275, 0.55173] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007483 | PGS000931 (GBE_BIN_FC11006152) |
PSS003791| East Asian Ancestry| 952 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Blood clot or DVT diagnosed by doctor | — | AUROC: 0.68652 [0.54244, 0.83061] | R²: 0.05141 Incremental AUROC (full-covars): 0.00532 PGS R2 (no covariates): 0.00103 PGS AUROC (no covariates): 0.5328 [0.37688, 0.68873] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007484 | PGS000931 (GBE_BIN_FC11006152) |
PSS003792| European Ancestry| 17,648 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Blood clot or DVT diagnosed by doctor | — | AUROC: 0.64786 [0.62647, 0.66925] | R²: 0.03411 Incremental AUROC (full-covars): 0.03737 PGS R2 (no covariates): 0.01507 PGS AUROC (no covariates): 0.59359 [0.57084, 0.61634] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007485 | PGS000931 (GBE_BIN_FC11006152) |
PSS003793| South Asian Ancestry| 5,480 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Blood clot or DVT diagnosed by doctor | — | AUROC: 0.63964 [0.59263, 0.68666] | R²: 0.02677 Incremental AUROC (full-covars): 0.01249 PGS R2 (no covariates): 0.00502 PGS AUROC (no covariates): 0.55473 [0.50496, 0.60449] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007486 | PGS000931 (GBE_BIN_FC11006152) |
PSS003794| European Ancestry| 48,060 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Blood clot or DVT diagnosed by doctor | — | AUROC: 0.62837 [0.61546, 0.64128] | R²: 0.02953 Incremental AUROC (full-covars): 0.0429 PGS R2 (no covariates): 0.01795 PGS AUROC (no covariates): 0.59176 [0.57816, 0.60536] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007609 | PGS000957 (GBE_HC932) |
PSS004711| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE essential (primary hypertension) | — | AUROC: 0.71865 [0.70527, 0.73203] | R²: 0.17042 Incremental AUROC (full-covars): -0.00133 PGS R2 (no covariates): 0.00389 PGS AUROC (no covariates): 0.53092 [0.51597, 0.54587] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007610 | PGS000957 (GBE_HC932) |
PSS004712| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE essential (primary hypertension) | — | AUROC: 0.7519 [0.72118, 0.78262] | R²: 0.18828 Incremental AUROC (full-covars): 0.01726 PGS R2 (no covariates): 0.02831 PGS AUROC (no covariates): 0.59059 [0.55566, 0.62552] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007611 | PGS000957 (GBE_HC932) |
PSS004713| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE essential (primary hypertension) | — | AUROC: 0.74724 [0.74015, 0.75433] | R²: 0.19436 Incremental AUROC (full-covars): 0.02015 PGS R2 (no covariates): 0.03223 PGS AUROC (no covariates): 0.60027 [0.59183, 0.6087] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007612 | PGS000957 (GBE_HC932) |
PSS004714| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE essential (primary hypertension) | — | AUROC: 0.73072 [0.71892, 0.74253] | R²: 0.19598 Incremental AUROC (full-covars): 0.00857 PGS R2 (no covariates): 0.01913 PGS AUROC (no covariates): 0.56924 [0.55569, 0.58279] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007613 | PGS000957 (GBE_HC932) |
PSS004715| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE essential (primary hypertension) | — | AUROC: 0.72352 [0.71925, 0.72779] | R²: 0.16706 Incremental AUROC (full-covars): 0.02959 PGS R2 (no covariates): 0.04055 PGS AUROC (no covariates): 0.60837 [0.60349, 0.61326] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007614 | PGS000958 (GBE_HC273) |
PSS004403| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Essential hypertension | — | AUROC: 0.72155 [0.708, 0.7351] | R²: 0.17503 Incremental AUROC (full-covars): -0.00192 PGS R2 (no covariates): 0.00286 PGS AUROC (no covariates): 0.52821 [0.51311, 0.54331] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007615 | PGS000958 (GBE_HC273) |
PSS004404| East Asian Ancestry| 1,704 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Essential hypertension | — | AUROC: 0.74478 [0.71204, 0.77751] | R²: 0.16987 Incremental AUROC (full-covars): 0.01358 PGS R2 (no covariates): 0.01557 PGS AUROC (no covariates): 0.56972 [0.5318, 0.60763] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM007616 | PGS000958 (GBE_HC273) |