| Experimental Factor Ontology (EFO) Information | |
| Identifier | EFO_0003763 |
| Description | A disorder resulting from inadequate blood flow in the vessels that supply the brain. Representative examples include cerebrovascular ischemia, cerebral embolism, and cerebral infarction. [NCIT: C2938] | Trait categories |
Cardiovascular disease
Neurological disorder
|
| Synonyms |
33 synonyms
|
| Mapped terms |
20 mapped terms
|
| Child trait(s) | 5 child traits |
| Polygenic Score ID & Name | PGS Publication ID (PGP) | Reported Trait | Mapped Trait(s) (Ontology) | Number of Variants |
Ancestry distribution GWAS Dev Eval |
Scoring File (FTP Link) |
|---|---|---|---|---|---|---|
| PGS000038 (PRS90) |
PGP000026 | Rutten-Jacobs LC et al. BMJ (2018) |
Stroke | stroke | 90 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000038/ScoringFiles/PGS000038.txt.gz |
| PGS000039 (metaGRS_ischaemicstroke) |
PGP000027 | Abraham G et al. Nat Commun (2019) |
Ischemic stroke | stroke, Ischemic stroke |
3,225,583 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000039/ScoringFiles/PGS000039.txt.gz | |
| 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 |
| 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 | |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 | |
| 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 | |
| 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 |
| 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 | |
| PGS003457 (GRS_ICH) |
PGP000450 | Mayerhofer E et al. Stroke (2023) |
Intracerebral hemorrhage | intracerebral hemorrhage | 682,890 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003457/ScoringFiles/PGS003457.txt.gz | |
| PGS003984 (dbslmm.auto.GCST005838.Stroke) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Stroke | stroke | 1,121,845 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003984/ScoringFiles/PGS003984.txt.gz | |
| PGS004000 (lassosum.auto.GCST005838.Stroke) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Stroke | stroke | 2,371 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004000/ScoringFiles/PGS004000.txt.gz | |
| PGS004015 (lassosum.CV.GCST005838.Stroke) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Stroke | stroke | 65,138 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004015/ScoringFiles/PGS004015.txt.gz | |
| PGS004026 (ldpred2.auto.GCST005838.Stroke) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Stroke | stroke | 1,011,468 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004026/ScoringFiles/PGS004026.txt.gz | |
| PGS004041 (ldpred2.CV.GCST005838.Stroke) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Stroke | stroke | 1,011,468 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004041/ScoringFiles/PGS004041.txt.gz | |
| PGS004054 (megaprs.auto.GCST005838.Stroke) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Stroke | stroke | 852,173 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004054/ScoringFiles/PGS004054.txt.gz | |
| PGS004070 (megaprs.CV.GCST005838.Stroke) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Stroke | stroke | 852,173 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004070/ScoringFiles/PGS004070.txt.gz | |
| PGS004084 (prscs.auto.GCST005838.Stroke) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Stroke | stroke | 1,091,747 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004084/ScoringFiles/PGS004084.txt.gz | |
| PGS004098 (prscs.CV.GCST005838.Stroke) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Stroke | stroke | 1,091,747 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004098/ScoringFiles/PGS004098.txt.gz | |
| PGS004108 (pt_clump.auto.GCST005838.Stroke) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Stroke | stroke | 13 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004108/ScoringFiles/PGS004108.txt.gz | |
| PGS004124 (pt_clump_nested.CV.GCST005838.Stroke) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Stroke | stroke | 5,808 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004124/ScoringFiles/PGS004124.txt.gz | |
| PGS004138 (sbayesr.auto.GCST005838.Stroke) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Stroke | stroke | 888,649 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004138/ScoringFiles/PGS004138.txt.gz | |
| PGS004154 (UKBB_EnsPGS.GCST005838.Stroke) |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Stroke | stroke | 1,116,976 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004154/ScoringFiles/PGS004154.txt.gz | |
| PGS004322 (GRS30_IS) |
PGP000555 | McElligott B et al. Front Cardiovasc Med (2023) |
Ischemic stroke | stroke, Ischemic stroke |
30 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004322/ScoringFiles/PGS004322.txt.gz |
| PGS004597 (PRS32_IS) |
PGP000576 | Peng H et al. Nutrients (2023) |
Ischemic stroke | stroke, Ischemic stroke |
32 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004597/ScoringFiles/PGS004597.txt.gz |
| PGS004835 (stroke_PRSmix_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Stroke | stroke | 2,263,784 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004835/ScoringFiles/PGS004835.txt.gz |
| PGS004836 (stroke_PRSmixPlus_eur) |
PGP000604 | Truong B et al. Cell Genom (2024) |
Stroke | stroke | 5,644,266 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004836/ScoringFiles/PGS004836.txt.gz |
| PGS004943 (ICH_MetaPRS) |
PGP000668 | China Kadoorie Biobank Collaborative Group. et al. Nat Hum Behav (2024) |
Intracerebral hemorrhage | intracerebral hemorrhage | 2,124,631 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004943/ScoringFiles/PGS004943.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 |
|---|---|---|---|---|---|---|---|---|---|
| PPM000090 | PGS000038 (PRS90) |
PSS000057| European Ancestry| 306,473 individuals |
PGP000026 | Rutten-Jacobs LC et al. BMJ (2018) |
Reported Trait: Incident stroke | — | — | HR (High [top 33%] vs. Low [bottom 33%] of genetic risk): 1.35 [1.21, 1.5] | age, sex, 10 PCs of genetic ancestry, genotyping batch | The best performing PRS (e.g. C+T thresholds) were selected based on this sample set, as well as being used for the evaluation. |
| PPM000092 | PGS000038 (PRS90) |
PSS000058| European Ancestry| 395,393 individuals |
PGP000027 | Abraham G et al. Nat Commun (2019) |Ext. |
Reported Trait: Ischaemic stroke before age 75 | HR: 1.13 [1.1, 1.17] | — | — | Sex, genotyping chip, 10 PCs | — |
| PPM000091 | PGS000039 (metaGRS_ischaemicstroke) |
PSS000058| European Ancestry| 395,393 individuals |
PGP000027 | Abraham G et al. Nat Commun (2019) |
Reported Trait: Ischaemic stroke before age 75 | HR: 1.26 [1.22, 1.31] | C-index: 0.585 [0.574, 0.595] | — | Sex, genotyping chip, 10 PCs | — |
| PPM002221 | PGS000039 (metaGRS_ischaemicstroke) |
PSS001082| European Ancestry| 12,792 individuals |
PGP000209 | Neumann JT et al. Stroke (2021) |Ext. |
Reported Trait: Incident ischemic stroke | HR: 1.41 [1.2, 1.65] | AUROC: 0.685 [0.64, 0.73] | Hazard Ratio (HR, top 33.3% vs bottom 33.3%): 1.74 [1.19, 2.56] | Age, sex, smoking status (current or former versus never), systolic blood pressure, non-high-density lipoprotein cholesterol, high-density lipoprotein cholesterol, body mass index, alcohol consumption (current versus former or never consumption), family history of stroke (event occuring before the age of 50 in a first-degree relative), diabetes, randomization to aspirin | Only 3,219,276 SNPs from PGS000039 were utilised due to variant identifier mismatch. Only 12,405 individuals (171 cases) were used due to missing values. For AUROC values this was 11,385 individuals (158 cases). |
| PPM002222 | PGS000039 (metaGRS_ischaemicstroke) |
PSS001082| European Ancestry| 12,792 individuals |
PGP000209 | Neumann JT et al. Stroke (2021) |Ext. |
Reported Trait: Incident ischemic stroke | — | — | Net reclassification index (NRI): 0.252 [0.175, 0.434] | Age, sex, smoking status (current or former versus never), systolic blood pressure, non-high-density lipoprotein cholesterol, high-density lipoprotein cholesterol, body mass index, alcohol consumption (current versus former or never consumption), family history of stroke (event occuring before the age of 50 in a first-degree relative), diabetes, randomization to aspirin | Only 3,219,276 SNPs from PGS000039 were utilised due to variant identifier mismatch. Only 11,385 individuals (158 cases) were used. |
| PPM002223 | PGS000039 (metaGRS_ischaemicstroke) |
PSS001082| European Ancestry| 12,792 individuals |
PGP000209 | Neumann JT et al. Stroke (2021) |Ext. |
Reported Trait: Incident ischemic stroke | HR: 1.43 [1.22, 1.68] | — | — | Age, sex, smoking status (current or former versus never), systolic blood pressure, non-high-density lipoprotein cholesterol, high-density lipoprotein cholesterol, body mass index, alcohol consumption (current versus former or never consumption), family history of stroke (event occuring before the age of 50 in a first-degree relative), diabetes, randomization to aspirin, PCs(1-10) | Only 3,219,276 SNPs from PGS000039 were utilised due to variant identifier mismatch. Only 12,405 individuals (171 cases) were used due to missing values. |
| PPM002224 | PGS000039 (metaGRS_ischaemicstroke) |
PSS001082| European Ancestry| 12,792 individuals |
PGP000209 | Neumann JT et al. Stroke (2021) |Ext. |
Reported Trait: Incident ischemic stroke | HR: 1.43 [1.22, 1.68] | — | — | Age, sex, smoking status (current or former versus never), systolic blood pressure, non-high-density lipoprotein cholesterol, high-density lipoprotein cholesterol, body mass index, alcohol consumption (current versus former or never consumption), family history of stroke (event occuring before the age of 50 in a first-degree relative), diabetes, randomization to aspirin, intake of antihypertensive drugs, intake of statin | Only 3,219,276 SNPs from PGS000039 were utilised due to variant identifier mismatch. Only 12,405 individuals (171 cases) were used due to missing values. |
| PPM002225 | PGS000039 (metaGRS_ischaemicstroke) |
PSS001082| European Ancestry| 12,792 individuals |
PGP000209 | Neumann JT et al. Stroke (2021) |Ext. |
Reported Trait: Incident ischemic stroke | HR: 1.41 [1.2, 1.66] | — | — | Age, sex, smoking status (current or former versus never), systolic blood pressure, non-high-density lipoprotein cholesterol, high-density lipoprotein cholesterol, body mass index, alcohol consumption (current versus former or never consumption), family history of stroke (event occuring before the age of 50 in a first-degree relative), diabetes, randomization to aspirin, index of relative socio-economic advantage and disadvantage(1-10) | Only 3,219,276 SNPs from PGS000039 were utilised due to variant identifier mismatch. Only 12,405 individuals (171 cases) were used due to missing values. |
| PPM002226 | PGS000039 (metaGRS_ischaemicstroke) |
PSS001082| European Ancestry| 12,792 individuals |
PGP000209 | Neumann JT et al. Stroke (2021) |Ext. |
Reported Trait: Incident ischemic stroke | HR: 1.4 [1.2, 1.64] | — | — | Age, sex, systolic blood pressure, non-high-density lipoprotein cholesterol, high-density lipoprotein cholesterol, alcohol consumption (current versus former or never consumption) | Only 3,219,276 SNPs from PGS000039 were utilised due to variant identifier mismatch. Only 12,405 individuals (171 cases) were used due to missing values. |
| PPM002227 | PGS000039 (metaGRS_ischaemicstroke) |
PSS001082| European Ancestry| 12,792 individuals |
PGP000209 | Neumann JT et al. Stroke (2021) |Ext. |
Reported Trait: Incident ischemic stroke | — | AUROC: 0.582 [0.537, 0.628] | — | — | Only 3,219,276 SNPs from PGS000039 were utilised due to variant identifier mismatch. For AUROC values only 11,385 individuals (158 cases) were used. |
| PPM002228 | PGS000039 (metaGRS_ischaemicstroke) |
PSS001082| European Ancestry| 12,792 individuals |
PGP000209 | Neumann JT et al. Stroke (2021) |Ext. |
Reported Trait: Incident large vessel ischemic stroke | HR: 1.43 [1.05, 1.94] | — | — | Age, sex, smoking status (current or former versus never), systolic blood pressure, non-high-density lipoprotein cholesterol, high-density lipoprotein cholesterol, body mass index, alcohol consumption (current versus former or never consumption), family history of stroke (event occuring before the age of 50 in a first-degree relative), diabetes, randomization to aspirin | Only 3,219,276 SNPs from PGS000039 were utilised due to variant identifier mismatch. |
| PPM002229 | PGS000039 (metaGRS_ischaemicstroke) |
PSS001082| European Ancestry| 12,792 individuals |
PGP000209 | Neumann JT et al. Stroke (2021) |Ext. |
Reported Trait: Incident cardiometabolic ischemic stroke | HR: 1.74 [1.24, 2.43] | — | — | Age, sex, smoking status (current or former versus never), systolic blood pressure, non-high-density lipoprotein cholesterol, high-density lipoprotein cholesterol, body mass index, alcohol consumption (current versus former or never consumption), family history of stroke (event occuring before the age of 50 in a first-degree relative), diabetes, randomization to aspirin | Only 3,219,276 SNPs from PGS000039 were utilised due to variant identifier mismatch. |
| PPM012987 | PGS000039 (metaGRS_ischaemicstroke) |
PSS009641| European Ancestry| 3,071 individuals |
PGP000315 | Hämmerle M et al. Stroke (2022) |Ext. |
Reported Trait: Stroke | — | — | Odds ratio (OR, top 1% vs. rest): 5.82 [2.08, 14.0] | Age, sex, BMI, hypertension, cholesterol, diabetes, smoker | — |
| PPM014737 | PGS000039 (metaGRS_ischaemicstroke) |
PSS009879| European Ancestry| 403,489 individuals |
PGP000333 | Mishra A et al. Nature (2022) |Ext. |
Reported Trait: incident ischemic stroke cases | HR: 1.13 [1.1, 1.15] | C-index: 0.64 | ∆C-index (improvement in C-index over covariates-only model): 0.006 | age, sex, 5 PCs | — |
| PPM014739 | PGS000039 (metaGRS_ischaemicstroke) |
PSS009876| European Ancestry| 51,288 individuals |
PGP000333 | Mishra A et al. Nature (2022) |Ext. |
Reported Trait: incident ischemic stroke cases | HR: 1.14 [1.06, 1.21] | C-index: 0.641 | ∆C-index (improvement in C-index over covariates-only model): 0.006 | age, sex, 5 PCs | — |
| PPM014741 | PGS000039 (metaGRS_ischaemicstroke) |
PSS009878| African Ancestry| 107,343 individuals |
PGP000333 | Mishra A et al. Nature (2022) |Ext. |
Reported Trait: incident ischemic stroke cases | HR: 1.09 [1.04, 1.14] | C-index: 0.652 | ∆C-index (improvement in C-index over covariates-only model): 0.002 | age, sex, 5 PCs | — |
| PPM014748 | PGS000039 (metaGRS_ischaemicstroke) |
PSS009881| East Asian Ancestry| 87,682 individuals |
PGP000333 | Mishra A et al. Nature (2022) |Ext. |
Reported Trait: prevalent ischemic stroke cases | OR: 1.1 [1.04, 1.16] | AUROC: 0.763 | ∆AUROC (improvement in AUROC over covariates-only model): 0.001 | age, sex, 5 PCs | — |
| PPM014735 | PGS000039 (metaGRS_ischaemicstroke) |
PSS009877| European Ancestry| 102,099 individuals |
PGP000333 | Mishra A et al. Nature (2022) |Ext. |
Reported Trait: incident ischemic stroke cases | HR: 1.19 [1.12, 1.26] | C-index: 0.618 | ∆C-index (improvement in C-index over covariates-only model): 0.014 | age, sex, 5 PCs | — |
| PPM014743 | PGS000039 (metaGRS_ischaemicstroke) |
PSS009880| African Ancestry| 3,434 individuals |
PGP000333 | Mishra A et al. Nature (2022) |Ext. |
Reported Trait: prevalent ischemic stroke cases | OR: 1.07 [1.0, 1.15] | AUROC: 0.547 | ∆AUROC (improvement in AUROC over covariates-only model): 0.006 | age, sex, 5 PCs | — |
| PPM014746 | PGS000039 (metaGRS_ischaemicstroke) |
PSS009875| East Asian Ancestry| 41,929 individuals |
PGP000333 | Mishra A et al. Nature (2022) |Ext. |
Reported Trait: prevalent ischemic stroke cases | OR: 1.17 [1.11, 1.23] | AUROC: 0.641 | ∆AUROC (improvement in AUROC over covariates-only model): 0.007 | age, sex, 5 PCs | — |
| PPM016151 | PGS000039 (metaGRS_ischaemicstroke) |
PSS010050| Ancestry Not Reported| 454,756 individuals |
PGP000401 | Cho BPH et al. JAMA Neurol (2022) |Ext. |
Reported Trait: Stroke | HR: 1.23 [1.2, 1.26] | — | — | age, sex, ethnicity, exome sequencing batch, and the first 10 principal components of genetic ancestry | — |
| PPM021311 | PGS000039 (metaGRS_ischaemicstroke) |
PSS011681| European Ancestry| 306,654 individuals |
PGP000628 | Sun L et al. PLoS Med (2021) |Ext. |
Reported Trait: Incident cardiovascular disease outcome | HR: 1.18 [1.15, 1.21] | — | — | Age at baseline, smoking status, history of diabetes, systolic blood pressure, total cholesterol, high-density lipoprotein cholesterol levels, stratified by study centre, sex | — |
| PPM021312 | PGS000039 (metaGRS_ischaemicstroke) |
PSS011681| European Ancestry| 306,654 individuals |
PGP000628 | Sun L et al. PLoS Med (2021) |Ext. |
Reported Trait: Incident coronary heart disease | HR: 1.2 [1.16, 1.24] | — | — | Age at baseline, smoking status, history of diabetes, systolic blood pressure, total cholesterol, high-density lipoprotein cholesterol levels, stratified by study centre, sex | — |
| PPM021313 | PGS000039 (metaGRS_ischaemicstroke) |
PSS011681| European Ancestry| 306,654 individuals |
PGP000628 | Sun L et al. PLoS Med (2021) |Ext. |
Reported Trait: Incident stroke | HR: 1.19 [1.14, 1.24] | — | — | Age at baseline, stratified by study centre, sex | — |
| PPM021314 | PGS000039 (metaGRS_ischaemicstroke) |
PSS011681| European Ancestry| 306,654 individuals |
PGP000628 | Sun L et al. PLoS Med (2021) |Ext. |
Reported Trait: Incident stroke | HR: 1.16 [1.11, 1.21] | — | — | Age at baseline, smoking status, history of diabetes, systolic blood pressure, total cholesterol, high-density lipoprotein cholesterol levels, stratified by study centre, sex | — |
| PPM021315 | PGS000039 (metaGRS_ischaemicstroke) |
PSS011681| European Ancestry| 306,654 individuals |
PGP000628 | Sun L et al. PLoS Med (2021) |Ext. |
Reported Trait: Combination of incident coronary heart disease, stroke and cardiac revascularisation procedures | HR: 1.19 [1.16, 1.22] | — | — | Age at baseline, smoking status, history of diabetes, systolic blood pressure, total cholesterol, high-density lipoprotein cholesterol levels, stratified by study centre, sex | — |
| PPM021765 | PGS000039 (metaGRS_ischaemicstroke) |
PSS011789| European Ancestry| 332 individuals |
PGP000674 | Lin F et al. Front Stroke (2023) |Ext. |
Reported Trait: Ischemic stroke | OR: 3.0 [0.3, 26.4] | — | — | Age, smoking status | — |
| 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 | — |
| 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 | — |
| PPM021351 | PGS000911 (PRS_IS) |
PSS011699| European Ancestry| 407,311 individuals |
PGP000637 | Kany S et al. Cardiovasc Res (2023) |Ext. |
Reported Trait: Incident heart failure | HR: 1.08 [1.06, 1.1] | — | — | Sex, 5 PCs, genotyping array, cubic splines of age at enrolment, height, weight, BMI, systolic blood pressure, diastolic blood pressure | — |
| PPM021348 | PGS000911 (PRS_IS) |
PSS011698| European Ancestry| 1,567 individuals |
PGP000637 | Kany S et al. Cardiovasc Res (2023) |Ext. |
Reported Trait: Cardiovascular death, stroke, hospitalization for worsening of HF, or acute coronary syndrome | HR: 1.13 [1.0, 1.27] | — | — | Treatment group | — |
| PPM021349 | PGS000911 (PRS_IS) |
PSS011698| European Ancestry| 1,567 individuals |
PGP000637 | Kany S et al. Cardiovasc Res (2023) |Ext. |
Reported Trait: Stroke | HR: 1.0 [0.75, 1.34] | — | — | Treatment group | — |
| PPM021350 | PGS000911 (PRS_IS) |
PSS011698| European Ancestry| 1,567 individuals |
PGP000637 | Kany S et al. Cardiovasc Res (2023) |Ext. |
Reported Trait: Worsening of heart failure | HR: 1.23 [1.05, 1.43] | — | — | Treatment group | — |
| PPM021352 | PGS000911 (PRS_IS) |
PSS011699| European Ancestry| 407,311 individuals |
PGP000637 | Kany S et al. Cardiovasc Res (2023) |Ext. |
Reported Trait: Incident stroke | HR: 1.08 [1.06, 1.11] | — | — | Sex, 5 PCs, genotyping array, cubic splines of age at enrolment, height, weight, BMI, systolic blood pressure, diastolic blood pressure | — |
| PPM021353 | PGS000911 (PRS_IS) |
PSS011699| European Ancestry| 407,311 individuals |
PGP000637 | Kany S et al. Cardiovasc Res (2023) |Ext. |
Reported Trait: Incident ischemic stroke | HR: 1.11 [1.08, 1.14] | — | — | Sex, 5 PCs, genotyping array, cubic splines of age at enrolment, height, weight, BMI, systolic blood pressure, diastolic blood pressure | — |
| PPM021354 | PGS000911 (PRS_IS) |
PSS011699| European Ancestry| 407,311 individuals |
PGP000637 | Kany S et al. Cardiovasc Res (2023) |Ext. |
Reported Trait: Incident atrial fibrillation or atrial flutter | HR: 1.15 [1.14, 1.67] | — | — | Sex, 5 PCs, genotyping array, cubic splines of age at enrolment, height, weight, BMI, systolic blood pressure, diastolic blood pressure | — |
| PPM008585 | PGS001179 (GBE_HC711) |
PSS004618| African Ancestry| 6,497 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE vascular dementia | — | AUROC: 0.89609 [0.78011, 1.0] | R²: 0.23133 Incremental AUROC (full-covars): -0.00271 PGS R2 (no covariates): 0.00098 PGS AUROC (no covariates): 0.45314 [0.26337, 0.6429] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008586 | PGS001179 (GBE_HC711) |
PSS004619| European Ancestry| 24,905 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE vascular dementia | — | AUROC: 0.86436 [0.80883, 0.91989] | R²: 0.14328 Incremental AUROC (full-covars): 0.00289 PGS R2 (no covariates): 0.00776 PGS AUROC (no covariates): 0.59245 [0.49395, 0.69095] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008587 | PGS001179 (GBE_HC711) |
PSS004620| South Asian Ancestry| 7,831 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE vascular dementia | — | AUROC: 0.83842 [0.72824, 0.9486] | R²: 0.14604 Incremental AUROC (full-covars): 0.00843 PGS R2 (no covariates): 0.0135 PGS AUROC (no covariates): 0.61894 [0.47358, 0.76431] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008588 | PGS001179 (GBE_HC711) |
PSS004621| European Ancestry| 67,425 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: TTE vascular dementia | — | AUROC: 0.82562 [0.78593, 0.86531] | R²: 0.10475 Incremental AUROC (full-covars): 0.00707 PGS R2 (no covariates): 0.01123 PGS AUROC (no covariates): 0.61306 [0.55366, 0.67245] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM009306 | PGS001793 (1kgeur_gbmi_leaveUKBBout_Stroke_pst_eff_a1_b0.5_phiauto) |
PSS007705| Additional Asian Ancestries| 8,091 individuals |
PGP000262 | Wang Y et al. Cell Genom (2023) |
Reported Trait: Stroke | — | AUROC: 0.745 | Nagelkerke's R2 (covariates regressed out): 0.01187 | sex,age,age2,age*sex,age^2*sex, 20PCs | — |
| PPM009297 | PGS001793 (1kgeur_gbmi_leaveUKBBout_Stroke_pst_eff_a1_b0.5_phiauto) |
PSS007716| European Ancestry| 350,408 individuals |
PGP000262 | Wang Y et al. Cell Genom (2023) |
Reported Trait: Stroke | — | AUROC: 0.706 | Nagelkerke's R2 (covariates regressed out): 0.00278 | sex,age,age2,age*sex,age^2*sex, 20PCs | — |
| PPM009314 | PGS001798 (1kgeur_gbmi_Stroke_pst_eff_a1_b0.5_phiauto) |
PSS007696| European Ancestry| 7,128 individuals |
PGP000262 | Wang Y et al. Cell Genom (2023) |
Reported Trait: Stroke | — | AUROC: 0.704 | Nagelkerke's R2 (covariates regressed out): 0.00746 | sex,age, 20PCs | — |
| PPM011278 | PGS002052 (portability-ldpred2_433.1) |
PSS009316| European Ancestry| 19,445 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Occlusion and stenosis of precerebral arteries | — | — | Partial Correlation (partial-r): 0.0199 [0.0058, 0.034] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011279 | PGS002052 (portability-ldpred2_433.1) |
PSS009090| European Ancestry| 4,046 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Occlusion and stenosis of precerebral arteries | — | — | Partial Correlation (partial-r): 0.0001 [-0.0308, 0.031] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011280 | PGS002052 (portability-ldpred2_433.1) |
PSS008644| European Ancestry| 6,521 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Occlusion and stenosis of precerebral arteries | — | — | Partial Correlation (partial-r): 0.0191 [-0.0052, 0.0434] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011282 | PGS002052 (portability-ldpred2_433.1) |
PSS008198| South Asian Ancestry| 6,173 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Occlusion and stenosis of precerebral arteries | — | — | Partial Correlation (partial-r): 0.0003 [-0.0247, 0.0253] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011283 | PGS002052 (portability-ldpred2_433.1) |
PSS007980| East Asian Ancestry| 1,789 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Occlusion and stenosis of precerebral arteries | — | — | Partial Correlation (partial-r): -0.0132 [-0.0598, 0.0334] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011284 | PGS002052 (portability-ldpred2_433.1) |
PSS007763| African Ancestry| 2,407 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Occlusion and stenosis of precerebral arteries | — | — | Partial Correlation (partial-r): 0.0003 [-0.0398, 0.0404] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011285 | PGS002052 (portability-ldpred2_433.1) |
PSS008867| African Ancestry| 3,806 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Occlusion and stenosis of precerebral arteries | — | — | Partial Correlation (partial-r): 0.0054 [-0.0265, 0.0372] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011281 | PGS002052 (portability-ldpred2_433.1) |
PSS008418| Greater Middle Eastern Ancestry| 1,183 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Occlusion and stenosis of precerebral arteries | — | — | Partial Correlation (partial-r): -0.0093 [-0.0667, 0.0482] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011286 | PGS002053 (portability-ldpred2_433) |
PSS009315| European Ancestry| 19,915 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Cerebrovascular disease | — | — | Partial Correlation (partial-r): 0.0233 [0.0094, 0.0371] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011287 | PGS002053 (portability-ldpred2_433) |
PSS009089| European Ancestry| 4,121 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Cerebrovascular disease | — | — | Partial Correlation (partial-r): 0.0114 [-0.0193, 0.042] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011288 | PGS002053 (portability-ldpred2_433) |
PSS008643| European Ancestry| 6,641 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Cerebrovascular disease | — | — | Partial Correlation (partial-r): 0.0244 | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011289 | PGS002053 (portability-ldpred2_433) |
PSS008417| Greater Middle Eastern Ancestry| 1,198 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Cerebrovascular disease | — | — | Partial Correlation (partial-r): 0.0536 [-0.0036, 0.1103] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011290 | PGS002053 (portability-ldpred2_433) |
PSS008197| South Asian Ancestry| 6,308 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Cerebrovascular disease | — | — | Partial Correlation (partial-r): 0.0165 [-0.0082, 0.0412] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011291 | PGS002053 (portability-ldpred2_433) |
PSS007979| East Asian Ancestry| 1,804 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Cerebrovascular disease | — | — | Partial Correlation (partial-r): 0.0131 [-0.0333, 0.0595] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011293 | PGS002053 (portability-ldpred2_433) |
PSS008866| African Ancestry| 3,912 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Cerebrovascular disease | — | — | Partial Correlation (partial-r): 0.0287 [-0.0027, 0.0601] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011292 | PGS002053 (portability-ldpred2_433) |
PSS007762| African Ancestry| 2,470 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Cerebrovascular disease | — | — | Partial Correlation (partial-r): 0.0139 [-0.0257, 0.0535] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012867 | PGS002259 (metaPRS_Stroke) |
PSS009585| East Asian Ancestry| 41,006 individuals |
PGP000285 | Lu X et al. Neurology (2021) |
Reported Trait: Incident stroke | HR: 1.28 [1.21, 1.36] | — | Hazard Ratio (HR, highest vs lowest quintile): 1.99 [1.66, 2.38] | Sex | — |
| PPM012868 | PGS002259 (metaPRS_Stroke) |
PSS009585| East Asian Ancestry| 41,006 individuals |
PGP000285 | Lu X et al. Neurology (2021) |
Reported Trait: Incident ischemic stroke | HR: 1.29 [1.2, 1.39] | — | Hazard Ratio (HR, highest vs lowest quintile): 2.13 [1.69, 2.69] | Sex | — |
| PPM012869 | PGS002259 (metaPRS_Stroke) |
PSS009585| East Asian Ancestry| 41,006 individuals |
PGP000285 | Lu X et al. Neurology (2021) |
Reported Trait: Incident hemorrhagic stroke | HR: 1.3 [1.17, 1.45] | — | Hazard Ratio (HR, highest vs lowest quintile): 1.98 [1.41, 2.77] | Sex | — |
| PPM018556 | PGS002259 (metaPRS_Stroke) |
PSS011021| East Asian Ancestry| 41,006 individuals |
PGP000483 | Cui Q et al. Sci China Life Sci (2023) |Ext. |
Reported Trait: Incident stroke | — | — | Hazard ratio (HR, high vs low tertile): 3.01 [2.03, 4.45] | Sex, cohort | Age as the underlying time scale |
| PPM018557 | PGS002259 (metaPRS_Stroke) |
PSS011021| East Asian Ancestry| 41,006 individuals |
PGP000483 | Cui Q et al. Sci China Life Sci (2023) |Ext. |
Reported Trait: Incident stroke with high clinical risk | — | — | Hazard ratio (HR, high vs low tertile): 2.12 [1.38, 3.27] | Sex, cohort | Age as the underlying time scale |
| PPM014736 | PGS002724 (GIGASTROKE_iPGS_EUR) |
PSS009879| European Ancestry| 403,489 individuals |
PGP000333 | Mishra A et al. Nature (2022) |
Reported Trait: incident ischemic stroke cases | HR: 1.19 [1.16, 1.21] | C-index: 0.645 | ∆C-index (improvement in C-index over covariates-only model): 0.01 | age, sex, 5 PCs | — |
| PPM014738 | PGS002724 (GIGASTROKE_iPGS_EUR) |
PSS009876| European Ancestry| 51,288 individuals |
PGP000333 | Mishra A et al. Nature (2022) |
Reported Trait: incident ischemic stroke cases | HR: 1.19 [1.11, 1.27] | C-index: 0.644 | ∆C-index (improvement in C-index over covariates-only model): 0.008 | age, sex, 5 PCs | — |
| PPM014740 | PGS002724 (GIGASTROKE_iPGS_EUR) |
PSS009878| African Ancestry| 107,343 individuals |
PGP000333 | Mishra A et al. Nature (2022) |
Reported Trait: incident ischemic stroke cases | HR: 1.11 [1.06, 1.17] | C-index: 0.653 | ∆C-index (improvement in C-index over covariates-only model): 0.003 | age, sex, 5 PCs | — |
| PPM014742 | PGS002724 (GIGASTROKE_iPGS_EUR) |
PSS009880| African Ancestry| 3,434 individuals |
PGP000333 | Mishra A et al. Nature (2022) |
Reported Trait: prevalent ischemic stroke cases | OR: 1.09 [1.02, 1.17] | AUROC: 0.548 | ∆AUROC (improvement in AUROC over covariates-only model): 0.007 | age, sex, 5 PCs | — |
| PPM014745 | PGS002724 (GIGASTROKE_iPGS_EUR) |
PSS009875| East Asian Ancestry| 41,929 individuals |
PGP000333 | Mishra A et al. Nature (2022) |
Reported Trait: prevalent ischemic stroke cases | OR: 1.18 [1.12, 1.25] | AUROC: 0.643 | ∆AUROC (improvement in AUROC over covariates-only model): 0.009 | age, sex, 5 PCs | — |
| PPM014734 | PGS002724 (GIGASTROKE_iPGS_EUR) |
PSS009877| European Ancestry| 102,099 individuals |
PGP000333 | Mishra A et al. Nature (2022) |
Reported Trait: incident ischemic stroke cases | HR: 1.26 [1.19, 1.34] | C-index: 0.631 | ∆C-index (improvement in C-index over covariates-only model): 0.027 | age, sex, 5 PCs | — |
| PPM020273 | PGS002724 (GIGASTROKE_iPGS_EUR) |
PSS011318| African Ancestry| 18,505 individuals |
PGP000536 | Vassy JL et al. JAMA Cardiol (2023) |Ext. |
Reported Trait: Incident ischemic stroke | HR: 1.05 [0.95, 1.17] | — | — | age, sex, and principal components of genetic ancestry | — |
| PPM020274 | PGS002724 (GIGASTROKE_iPGS_EUR) |
PSS011319| Hispanic or Latin American Ancestry| 6,785 individuals |
PGP000536 | Vassy JL et al. JAMA Cardiol (2023) |Ext. |
Reported Trait: Incident ischemic stroke | HR: 1.08 [0.85, 1.36] | — | — | age, sex, and principal components of genetic ancestry | — |
| PPM020275 | PGS002724 (GIGASTROKE_iPGS_EUR) |
PSS011320| European Ancestry| 53,861 individuals |
PGP000536 | Vassy JL et al. JAMA Cardiol (2023) |Ext. |
Reported Trait: Incident ischemic stroke | HR: 1.15 [1.08, 1.21] | — | — | age, sex, and principal components of genetic ancestry | — |
| PPM014747 | PGS002725 (GIGASTROKE_iPGS_EAS) |
PSS009881| East Asian Ancestry| 87,682 individuals |
PGP000333 | Mishra A et al. Nature (2022) |
Reported Trait: prevalent ischemic stroke cases | OR: 1.18 [1.12, 1.25] | AUROC: 0.765 | ∆AUROC (improvement in AUROC over covariates-only model): 0.003 | age, sex, 5 PCs | — |
| PPM014744 | PGS002725 (GIGASTROKE_iPGS_EAS) |
PSS009875| East Asian Ancestry| 41,929 individuals |
PGP000333 | Mishra A et al. Nature (2022) |
Reported Trait: prevalent ischemic stroke cases | OR: 1.33 [1.26, 1.4] | AUROC: 0.653 | ∆AUROC (improvement in AUROC over covariates-only model): 0.019 | age, sex, 5 PCs | — |
| PPM014970 | PGS002770 (Stroke_prscs) |
PSS009939| European Ancestry| 39,444 individuals |
PGP000364 | Mars N et al. Am J Hum Genet (2022) |
Reported Trait: Stroke | OR: 1.15 [1.08, 1.22] | — | — | age, sex, 10 PCs, technical covariates | — |
| PPM017048 | PGS003406 (1_withUKB_sexAll_metaGRS.weights) |
PSS010105| European Ancestry| 69,396 individuals |
PGP000423 | Bakker MK et al. Stroke (2023) |
Reported Trait: Aneurysmal subarachnoid hemorrhage hazard | HR: 1.344 | C-index: 0.652 | — | sex, systolic blood pressure, cigarette packs per day | — |
| PPM017054 | PGS003406 (1_withUKB_sexAll_metaGRS.weights) |
PSS010105| European Ancestry| 69,396 individuals |
PGP000423 | Bakker MK et al. Stroke (2023) |
Reported Trait: Intracranial aneurysm cases | OR: 1.094 | C-index: 0.763 | — | — | — |
| PPM017049 | PGS003407 (2_withUKB_sexMale_metaGRS.weights) |
PSS010105| European Ancestry| 69,396 individuals |
PGP000423 | Bakker MK et al. Stroke (2023) |
Reported Trait: Aneurysmal subarachnoid hemorrhage hazard (men only) | HR: 1.254 | C-index: 0.571 | — | sex, systolic blood pressure, cigarette packs per day | — |
| PPM017055 | PGS003407 (2_withUKB_sexMale_metaGRS.weights) |
PSS010105| European Ancestry| 69,396 individuals |
PGP000423 | Bakker MK et al. Stroke (2023) |
Reported Trait: Intracranial aneurysm cases (men only) | OR: 1.091 | C-index: 0.762 | — | — | — |
| PPM017050 | PGS003408 (3_withUKB_sexFemale_metaGRS.weights) |
PSS010105| European Ancestry| 69,396 individuals |
PGP000423 | Bakker MK et al. Stroke (2023) |
Reported Trait: Aneurysmal subarachnoid hemorrhage hazard (women only) | HR: 1.374 | C-index: 0.727 | — | sex, systolic blood pressure, cigarette packs per day | — |
| PPM017056 | PGS003408 (3_withUKB_sexFemale_metaGRS.weights) |
PSS010105| European Ancestry| 69,396 individuals |
PGP000423 | Bakker MK et al. Stroke (2023) |
Reported Trait: Intracranial aneurysm cases (women only) | OR: 1.089 | C-index: 0.77 | — | — | — |
| PPM017051 | PGS003409 (4_withUKB_sexAll_IAonly.weights) |
PSS010105| European Ancestry| 69,396 individuals |
PGP000423 | Bakker MK et al. Stroke (2023) |
Reported Trait: Aneurysmal subarachnoid hemorrhage hazard | HR: 1.254 | C-index: 0.65 | — | sex, systolic blood pressure, cigarette packs per day | — |
| PPM017057 | PGS003409 (4_withUKB_sexAll_IAonly.weights) |
PSS010105| European Ancestry| 69,396 individuals |
PGP000423 | Bakker MK et al. Stroke (2023) |
Reported Trait: Intracranial aneurysm cases | OR: 1.124 | C-index: 0.764 | — | — | — |
| PPM017052 | PGS003410 (5_withUKB_sexMale_IAonly.weights) |
PSS010105| European Ancestry| 69,396 individuals |
PGP000423 | Bakker MK et al. Stroke (2023) |
Reported Trait: Aneurysmal subarachnoid hemorrhage hazard (men only) | HR: 1.199 | C-index: 0.593 | — | sex, systolic blood pressure, cigarette packs per day | — |
| PPM017058 | PGS003410 (5_withUKB_sexMale_IAonly.weights) |
PSS010105| European Ancestry| 69,396 individuals |
PGP000423 | Bakker MK et al. Stroke (2023) |
Reported Trait: Intracranial aneurysm cases (men only) | OR: 1.165 | C-index: 0.763 | — | — | — |
| PPM017053 | PGS003411 (6_withUKB_sexFemale_IAonly.weights) |
PSS010105| European Ancestry| 69,396 individuals |
PGP000423 | Bakker MK et al. Stroke (2023) |
Reported Trait: Aneurysmal subarachnoid hemorrhage hazard (women only) | HR: 1.295 | C-index: 0.722 | — | sex, systolic blood pressure, cigarette packs per day | — |
| PPM017059 | PGS003411 (6_withUKB_sexFemale_IAonly.weights) |
PSS010105| European Ancestry| 69,396 individuals |
PGP000423 | Bakker MK et al. Stroke (2023) |
Reported Trait: Intracranial aneurysm cases (women only) | OR: 1.085 | C-index: 0.77 | — | — | — |
| PPM017258 | PGS003457 (GRS_ICH) |
PSS010179| Multi-ancestry (including European)| 5,530 individuals |
PGP000450 | Mayerhofer E et al. Stroke (2023) |
Reported Trait: Incident intracerebral hemorrhage in anticoagulation therapy | HR: 1.24 [1.01, 1.53] | — | R²: 0.02 | age at baseline (controls) or ICH event (cases), sex, PC1 to 10, and genotyping array | — |
| PPM017259 | PGS003457 (GRS_ICH) |
PSS010179| Multi-ancestry (including European)| 5,530 individuals |
PGP000450 | Mayerhofer E et al. Stroke (2023) |
Reported Trait: Incident intracerebral hemorrhage in anticoagulation therapy | HR: 1.33 [1.11, 1.59] | C-index: 0.57 [0.5, 0.64] | — | age at baseline (controls) or ICH event (cases), sex, PC1 to 10, and genotyping array, clinical risk score | — |
| PPM019449 | PGS003984 (dbslmm.auto.GCST005838.Stroke) |
PSS011223| European Ancestry| 48,148 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.12083 β: 0.11407 |
AUROC: 0.53 | — | 0 | beta = log(or)/sd_pgs |
| PPM019450 | PGS003984 (dbslmm.auto.GCST005838.Stroke) |
PSS011234| European Ancestry| 376,733 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.15341 β: 0.14273 |
AUROC: 0.54 | — | 0 | beta = log(or)/sd_pgs |
| PPM019451 | PGS003984 (dbslmm.auto.GCST005838.Stroke) |
PSS011247| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.09189 β: 0.08791 |
AUROC: 0.53 | — | 0 | beta = log(or)/sd_pgs |
| PPM019452 | PGS003984 (dbslmm.auto.GCST005838.Stroke) |
PSS011263| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.12141 β: 0.11459 |
AUROC: 0.53 | — | 0 | beta = log(or)/sd_pgs |
| PPM019453 | PGS003984 (dbslmm.auto.GCST005838.Stroke) |
PSS011290| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.18126 β: 0.16658 |
AUROC: 0.55 | — | 0 | beta = log(or)/sd_pgs |
| PPM019454 | PGS003984 (dbslmm.auto.GCST005838.Stroke) |
PSS011276| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.20912 β: 0.1899 |
AUROC: 0.55 | — | 0 | beta = log(or)/sd_pgs |
| PPM019497 | PGS004000 (lassosum.auto.GCST005838.Stroke) |
PSS011223| European Ancestry| 48,148 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.09992 β: 0.09524 |
AUROC: 0.53 | — | 0 | beta = log(or)/sd_pgs |
| PPM019499 | PGS004000 (lassosum.auto.GCST005838.Stroke) |
PSS011247| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.03582 β: 0.0352 |
AUROC: 0.51 | — | 0 | beta = log(or)/sd_pgs |
| PPM019500 | PGS004000 (lassosum.auto.GCST005838.Stroke) |
PSS011263| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.12602 β: 0.11869 |
AUROC: 0.53 | — | 0 | beta = log(or)/sd_pgs |
| PPM019501 | PGS004000 (lassosum.auto.GCST005838.Stroke) |
PSS011290| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.05895 β: 0.05728 |
AUROC: 0.52 | — | 0 | beta = log(or)/sd_pgs |
| PPM019502 | PGS004000 (lassosum.auto.GCST005838.Stroke) |
PSS011276| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.12993 β: 0.12215 |
AUROC: 0.54 | — | 0 | beta = log(or)/sd_pgs |
| PPM019498 | PGS004000 (lassosum.auto.GCST005838.Stroke) |
PSS011234| European Ancestry| 376,733 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.12015 β: 0.11346 |
AUROC: 0.53 | — | 0 | beta = log(or)/sd_pgs |
| PPM019503 | PGS004015 (lassosum.CV.GCST005838.Stroke) |
PSS011223| European Ancestry| 48,148 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.10789 β: 0.10246 |
AUROC: 0.53 | — | 0 | beta = log(or)/sd_pgs |
| PPM019504 | PGS004015 (lassosum.CV.GCST005838.Stroke) |
PSS011234| European Ancestry| 376,733 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.14267 β: 0.13337 |
AUROC: 0.54 | — | 0 | beta = log(or)/sd_pgs |
| PPM019505 | PGS004015 (lassosum.CV.GCST005838.Stroke) |
PSS011247| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.10577 β: 0.10054 |
AUROC: 0.53 | — | 0 | beta = log(or)/sd_pgs |
| PPM019506 | PGS004015 (lassosum.CV.GCST005838.Stroke) |
PSS011263| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.12027 β: 0.11357 |
AUROC: 0.53 | — | 0 | beta = log(or)/sd_pgs |
| PPM019507 | PGS004015 (lassosum.CV.GCST005838.Stroke) |
PSS011290| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.18187 β: 0.1671 |
AUROC: 0.56 | — | 0 | beta = log(or)/sd_pgs |
| PPM019508 | PGS004015 (lassosum.CV.GCST005838.Stroke) |
PSS011276| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.17792 β: 0.16375 |
AUROC: 0.55 | — | 0 | beta = log(or)/sd_pgs |
| PPM019467 | PGS004026 (ldpred2.auto.GCST005838.Stroke) |
PSS011223| European Ancestry| 48,148 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.10756 β: 0.10216 |
AUROC: 0.53 | — | 0 | beta = log(or)/sd_pgs |
| PPM019468 | PGS004026 (ldpred2.auto.GCST005838.Stroke) |
PSS011234| European Ancestry| 376,733 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.16199 β: 0.15013 |
AUROC: 0.54 | — | 0 | beta = log(or)/sd_pgs |
| PPM019469 | PGS004026 (ldpred2.auto.GCST005838.Stroke) |
PSS011247| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.13492 β: 0.12656 |
AUROC: 0.54 | — | 0 | beta = log(or)/sd_pgs |
| PPM019470 | PGS004026 (ldpred2.auto.GCST005838.Stroke) |
PSS011263| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.1247 β: 0.11752 |
AUROC: 0.53 | — | 0 | beta = log(or)/sd_pgs |
| PPM019471 | PGS004026 (ldpred2.auto.GCST005838.Stroke) |
PSS011290| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.23606 β: 0.21193 |
AUROC: 0.57 | — | 0 | beta = log(or)/sd_pgs |
| PPM019472 | PGS004026 (ldpred2.auto.GCST005838.Stroke) |
PSS011276| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.21946 β: 0.19841 |
AUROC: 0.55 | — | 0 | beta = log(or)/sd_pgs |
| PPM019431 | PGS004041 (ldpred2.CV.GCST005838.Stroke) |
PSS011223| European Ancestry| 48,148 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.11588 β: 0.10965 |
AUROC: 0.53 | — | 0 | beta = log(or)/sd_pgs |
| PPM019432 | PGS004041 (ldpred2.CV.GCST005838.Stroke) |
PSS011234| European Ancestry| 376,733 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.16332 β: 0.15128 |
AUROC: 0.54 | — | 0 | beta = log(or)/sd_pgs |
| PPM019433 | PGS004041 (ldpred2.CV.GCST005838.Stroke) |
PSS011247| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.1116 β: 0.1058 |
AUROC: 0.53 | — | 0 | beta = log(or)/sd_pgs |
| PPM019434 | PGS004041 (ldpred2.CV.GCST005838.Stroke) |
PSS011263| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.13921 β: 0.13033 |
AUROC: 0.54 | — | 0 | beta = log(or)/sd_pgs |
| PPM019435 | PGS004041 (ldpred2.CV.GCST005838.Stroke) |
PSS011290| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.21092 β: 0.19138 |
AUROC: 0.56 | — | 0 | beta = log(or)/sd_pgs |
| PPM019436 | PGS004041 (ldpred2.CV.GCST005838.Stroke) |
PSS011276| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.20936 β: 0.19009 |
AUROC: 0.55 | — | 0 | beta = log(or)/sd_pgs |
| PPM019473 | PGS004054 (megaprs.auto.GCST005838.Stroke) |
PSS011223| European Ancestry| 48,148 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.12005 β: 0.11337 |
AUROC: 0.53 | — | 0 | beta = log(or)/sd_pgs |
| PPM019474 | PGS004054 (megaprs.auto.GCST005838.Stroke) |
PSS011234| European Ancestry| 376,733 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.16971 β: 0.15675 |
AUROC: 0.54 | — | 0 | beta = log(or)/sd_pgs |
| PPM019475 | PGS004054 (megaprs.auto.GCST005838.Stroke) |
PSS011247| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.09218 β: 0.08817 |
AUROC: 0.52 | — | 0 | beta = log(or)/sd_pgs |
| PPM019476 | PGS004054 (megaprs.auto.GCST005838.Stroke) |
PSS011263| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.1469 β: 0.13706 |
AUROC: 0.54 | — | 0 | beta = log(or)/sd_pgs |
| PPM019477 | PGS004054 (megaprs.auto.GCST005838.Stroke) |
PSS011290| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.23492 β: 0.211 |
AUROC: 0.57 | — | 0 | beta = log(or)/sd_pgs |
| PPM019478 | PGS004054 (megaprs.auto.GCST005838.Stroke) |
PSS011276| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.21483 β: 0.1946 |
AUROC: 0.55 | — | 0 | beta = log(or)/sd_pgs |
| PPM019479 | PGS004070 (megaprs.CV.GCST005838.Stroke) |
PSS011223| European Ancestry| 48,148 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.12262 β: 0.11566 |
AUROC: 0.53 | — | 0 | beta = log(or)/sd_pgs |
| PPM019480 | PGS004070 (megaprs.CV.GCST005838.Stroke) |
PSS011234| European Ancestry| 376,733 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.17236 β: 0.15902 |
AUROC: 0.55 | — | 0 | beta = log(or)/sd_pgs |
| PPM019481 | PGS004070 (megaprs.CV.GCST005838.Stroke) |
PSS011247| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.09524 β: 0.09097 |
AUROC: 0.53 | — | 0 | beta = log(or)/sd_pgs |
| PPM019482 | PGS004070 (megaprs.CV.GCST005838.Stroke) |
PSS011263| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.14508 β: 0.13548 |
AUROC: 0.54 | — | 0 | beta = log(or)/sd_pgs |
| PPM019483 | PGS004070 (megaprs.CV.GCST005838.Stroke) |
PSS011290| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.24252 β: 0.21714 |
AUROC: 0.57 | — | 0 | beta = log(or)/sd_pgs |
| PPM019484 | PGS004070 (megaprs.CV.GCST005838.Stroke) |
PSS011276| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.22477 β: 0.20275 |
AUROC: 0.56 | — | 0 | beta = log(or)/sd_pgs |
| PPM019491 | PGS004084 (prscs.auto.GCST005838.Stroke) |
PSS011223| European Ancestry| 48,148 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.10161 β: 0.09677 |
AUROC: 0.53 | — | 0 | beta = log(or)/sd_pgs |
| PPM019492 | PGS004084 (prscs.auto.GCST005838.Stroke) |
PSS011234| European Ancestry| 376,733 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.15354 β: 0.14283 |
AUROC: 0.54 | — | 0 | beta = log(or)/sd_pgs |
| PPM019493 | PGS004084 (prscs.auto.GCST005838.Stroke) |
PSS011247| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.1249 β: 0.1177 |
AUROC: 0.53 | — | 0 | beta = log(or)/sd_pgs |
| PPM019494 | PGS004084 (prscs.auto.GCST005838.Stroke) |
PSS011263| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.10581 β: 0.10058 |
AUROC: 0.53 | — | 0 | beta = log(or)/sd_pgs |
| PPM019495 | PGS004084 (prscs.auto.GCST005838.Stroke) |
PSS011290| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.23758 β: 0.21316 |
AUROC: 0.57 | — | 0 | beta = log(or)/sd_pgs |
| PPM019496 | PGS004084 (prscs.auto.GCST005838.Stroke) |
PSS011276| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.20497 β: 0.18646 |
AUROC: 0.55 | — | 0 | beta = log(or)/sd_pgs |
| PPM019485 | PGS004098 (prscs.CV.GCST005838.Stroke) |
PSS011223| European Ancestry| 48,148 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.10211 β: 0.09723 |
AUROC: 0.53 | — | 0 | beta = log(or)/sd_pgs |
| PPM019486 | PGS004098 (prscs.CV.GCST005838.Stroke) |
PSS011234| European Ancestry| 376,733 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.15335 β: 0.14267 |
AUROC: 0.54 | — | 0 | beta = log(or)/sd_pgs |
| PPM019487 | PGS004098 (prscs.CV.GCST005838.Stroke) |
PSS011247| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.14227 β: 0.13302 |
AUROC: 0.54 | — | 0 | beta = log(or)/sd_pgs |
| PPM019488 | PGS004098 (prscs.CV.GCST005838.Stroke) |
PSS011263| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.11617 β: 0.1099 |
AUROC: 0.53 | — | 0 | beta = log(or)/sd_pgs |
| PPM019489 | PGS004098 (prscs.CV.GCST005838.Stroke) |
PSS011290| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.23173 β: 0.20842 |
AUROC: 0.57 | — | 0 | beta = log(or)/sd_pgs |
| PPM019490 | PGS004098 (prscs.CV.GCST005838.Stroke) |
PSS011276| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.19231 β: 0.17589 |
AUROC: 0.55 | — | 0 | beta = log(or)/sd_pgs |
| PPM019437 | PGS004108 (pt_clump.auto.GCST005838.Stroke) |
PSS011223| European Ancestry| 48,148 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.08291 β: 0.07965 |
AUROC: 0.52 | — | 0 | beta = log(or)/sd_pgs |
| PPM019438 | PGS004108 (pt_clump.auto.GCST005838.Stroke) |
PSS011234| European Ancestry| 376,733 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.06579 β: 0.06372 |
AUROC: 0.52 | — | 0 | beta = log(or)/sd_pgs |
| PPM019439 | PGS004108 (pt_clump.auto.GCST005838.Stroke) |
PSS011247| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 0.97393 β: -0.02642 |
AUROC: 0.51 | — | 0 | beta = log(or)/sd_pgs |
| PPM019440 | PGS004108 (pt_clump.auto.GCST005838.Stroke) |
PSS011263| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.06709 β: 0.06493 |
AUROC: 0.52 | — | 0 | beta = log(or)/sd_pgs |
| PPM019441 | PGS004108 (pt_clump.auto.GCST005838.Stroke) |
PSS011290| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 0.99729 β: -0.00271 |
AUROC: 0.5 | — | 0 | beta = log(or)/sd_pgs |
| PPM019442 | PGS004108 (pt_clump.auto.GCST005838.Stroke) |
PSS011276| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.08405 β: 0.0807 |
AUROC: 0.52 | — | 0 | beta = log(or)/sd_pgs |
| PPM019443 | PGS004124 (pt_clump_nested.CV.GCST005838.Stroke) |
PSS011223| European Ancestry| 48,148 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.06894 β: 0.06667 |
AUROC: 0.52 | — | 0 | beta = log(or)/sd_pgs |
| PPM019444 | PGS004124 (pt_clump_nested.CV.GCST005838.Stroke) |
PSS011234| European Ancestry| 376,733 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.10078 β: 0.09602 |
AUROC: 0.53 | — | 0 | beta = log(or)/sd_pgs |
| PPM019445 | PGS004124 (pt_clump_nested.CV.GCST005838.Stroke) |
PSS011247| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.12773 β: 0.12021 |
AUROC: 0.53 | — | 0 | beta = log(or)/sd_pgs |
| PPM019446 | PGS004124 (pt_clump_nested.CV.GCST005838.Stroke) |
PSS011263| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.10772 β: 0.1023 |
AUROC: 0.53 | — | 0 | beta = log(or)/sd_pgs |
| PPM019447 | PGS004124 (pt_clump_nested.CV.GCST005838.Stroke) |
PSS011290| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.14403 β: 0.13455 |
AUROC: 0.54 | — | 0 | beta = log(or)/sd_pgs |
| PPM019448 | PGS004124 (pt_clump_nested.CV.GCST005838.Stroke) |
PSS011276| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.13266 β: 0.12457 |
AUROC: 0.54 | — | 0 | beta = log(or)/sd_pgs |
| PPM019455 | PGS004138 (sbayesr.auto.GCST005838.Stroke) |
PSS011223| European Ancestry| 48,148 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.08855 β: 0.08485 |
AUROC: 0.52 | — | 0 | beta = log(or)/sd_pgs |
| PPM019456 | PGS004138 (sbayesr.auto.GCST005838.Stroke) |
PSS011234| European Ancestry| 376,733 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.14381 β: 0.13436 |
AUROC: 0.54 | — | 0 | beta = log(or)/sd_pgs |
| PPM019457 | PGS004138 (sbayesr.auto.GCST005838.Stroke) |
PSS011247| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.09703 β: 0.09261 |
AUROC: 0.53 | — | 0 | beta = log(or)/sd_pgs |
| PPM019458 | PGS004138 (sbayesr.auto.GCST005838.Stroke) |
PSS011263| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.09561 β: 0.09131 |
AUROC: 0.53 | — | 0 | beta = log(or)/sd_pgs |
| PPM019459 | PGS004138 (sbayesr.auto.GCST005838.Stroke) |
PSS011290| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.15035 β: 0.14007 |
AUROC: 0.55 | — | 0 | beta = log(or)/sd_pgs |
| PPM019460 | PGS004138 (sbayesr.auto.GCST005838.Stroke) |
PSS011276| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.20185 β: 0.18386 |
AUROC: 0.55 | — | 0 | beta = log(or)/sd_pgs |
| PPM019462 | PGS004154 (UKBB_EnsPGS.GCST005838.Stroke) |
PSS011234| European Ancestry| 376,733 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.17327 β: 0.15979 |
AUROC: 0.55 | — | 0 | beta = log(or)/sd_pgs |
| PPM019463 | PGS004154 (UKBB_EnsPGS.GCST005838.Stroke) |
PSS011247| South Asian Ancestry| 44,057 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.08287 β: 0.07961 |
AUROC: 0.52 | — | 0 | beta = log(or)/sd_pgs |
| PPM019464 | PGS004154 (UKBB_EnsPGS.GCST005838.Stroke) |
PSS011263| European Ancestry| 66,865 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.14197 β: 0.13276 |
AUROC: 0.54 | — | 0 | beta = log(or)/sd_pgs |
| PPM019466 | PGS004154 (UKBB_EnsPGS.GCST005838.Stroke) |
PSS011276| European Ancestry| 90,274 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.23115 β: 0.20795 |
AUROC: 0.56 | — | 0 | beta = log(or)/sd_pgs |
| PPM019461 | PGS004154 (UKBB_EnsPGS.GCST005838.Stroke) |
PSS011223| European Ancestry| 48,148 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.12873 β: 0.1211 |
AUROC: 0.54 | — | 0 | beta = log(or)/sd_pgs |
| PPM019465 | PGS004154 (UKBB_EnsPGS.GCST005838.Stroke) |
PSS011290| South Asian Ancestry| 9,326 individuals |
PGP000517 | Monti R et al. Am J Hum Genet (2024) |
Reported Trait: Stroke excluding subarachnoid hemorrhage | OR: 1.18096 β: 0.16632 |
AUROC: 0.56 | — | 0 | beta = log(or)/sd_pgs |
| PPM020429 | PGS004322 (GRS30_IS) |
PSS011358| European Ancestry| 454,493 individuals |
PGP000555 | McElligott B et al. Front Cardiovasc Med (2023) |
Reported Trait: Incident ischaemic stroke | HR: 1.26 [1.17, 1.35] | — | — | age, gender, 10-yr ASCVD Risk by PCE, genetic background, and sepsis | — |
| PPM020430 | PGS004322 (GRS30_IS) |
PSS011358| European Ancestry| 454,493 individuals |
PGP000555 | McElligott B et al. Front Cardiovasc Med (2023) |
Reported Trait: Any incident myocardial infarction, ischaemic stroke, or venous thromboembolism | HR: 1.05 [1.01, 1.1] | — | — | age, gender, 10-yr ASCVD Risk by PCE, genetic background, and sepsis | — |
| PPM020749 | PGS004597 (PRS32_IS) |
PSS011390| Multi-ancestry (including European)| 13,348 individuals |
PGP000576 | Peng H et al. Nutrients (2023) |
Reported Trait: Incident ischaemic stroke in breast cancer survivors | — | — | Hazard ratio (HR, top 50% vs bottom 50% of PRS): 1.25 [0.91, 1.72] | Age at diagnosis of breast cancer, race, Townsend Deprivation Index, diabetes, hypertension, antihypertensive medications, insulin treatment, lipid treatments, hormone replacement therapy, menopause, surgical treatment of breast cancer, genetic testing batches, 10 PCs | — |
| PPM020752 | PGS004597 (PRS32_IS) |
PSS011390| Multi-ancestry (including European)| 13,348 individuals |
PGP000576 | Peng H et al. Nutrients (2023) |
Reported Trait: Incident ischaemic stroke in breast cancer survivors with lifestyle | — | — | Hazard ratio (HR, unhealthy lifestyle and PRS in top 50% vs healthy lifestyle and PRS in bottom 50%): 0.37 [0.15, 0.93] | Age at diagnosis of breast cancer, race, Townsend Deprivation Index, diabetes, hypertension, antihypertensive medications, insulin treatment, lipid treatments, hormone replacement therapy, menopause, surgical treatment of breast cancer, genetic testing batches, 10 PCs | — |
| PPM021060 | PGS004835 (stroke_PRSmix_eur) |
PSS011506| European Ancestry| 7,889 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Stroke | — | — | Incremental R2 (Full model versus model with only covariates): 0.007 [0.003, 0.01] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM021061 | PGS004836 (stroke_PRSmixPlus_eur) |
PSS011506| European Ancestry| 7,889 individuals |
PGP000604 | Truong B et al. Cell Genom (2024) |
Reported Trait: Stroke | — | — | Incremental R2 (Full model versus model with only covariates): 0.017 [0.011, 0.022] | age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 | Incremental R2 (Full model versus model with only covariates) |
| PPM021741 | PGS004943 (ICH_MetaPRS) |
PSS011773| East Asian Ancestry| 72,149 individuals |
PGP000668 | China Kadoorie Biobank Collaborative Group. et al. Nat Hum Behav (2024) |
Reported Trait: Incident intracerebral hemorrhage | HR: 1.31 [1.24, 1.39] | C-index: 0.748 [0.734, 0.761] | — | age, sex | — |
|
PGS Sample Set ID (PSS) |
Phenotype Definitions and Methods | Participant Follow-up Time | Sample Numbers | Age of Study Participants | Sample Ancestry | Additional Ancestry Description | Cohort(s) | Additional Sample/Cohort Information |
|---|---|---|---|---|---|---|---|---|
| PSS008644 | — | — | 6,521 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS011276 | — | — | [
|
— | European | — | UKB | — |
| PSS011773 | ICD10: I61 | Median = 12.2 years | 72,149 individuals, 40.2 % Male samples |
Mean = 51.7 years Sd = 10.5 years |
East Asian (Chinese) |
— | CKB | — |
| PSS010105 | ICD codes I67.1 and I60 | — | [
|
— | European (Norwegian) |
— | HUNT2 | — |
| PSS011698 | — | — | 1,567 individuals | — | European | — | EAST-AFNET4 | — |
| PSS011699 | — | — | 407,311 individuals | — | European | — | UKB | — |
| PSS007763 | — | — | 2,407 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS007762 | — | — | 2,470 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS010179 | The test cohort consisted of individuals without a history of ICH at baseline and anticoagulant use defined by self-report in the verbal interview at inclusion. Furthermore, individuals were included if they had a diagnosis of the International Classification of Diseases, Tenth Revision code Z92.1 (personal history of long-term (current) use of anticoagulants) or D68.3 (hemorrhagic disorder due to circulating anticoagulants) at baseline or a prescription of an anticoagulant medication between baseline and 6 months thereafter in the primary care data | Mean = 11.9 years | [ ,
69.0 % Male samples |
Mean = 62.0 years | European | — | UKB | — |
| PSS010179 | The test cohort consisted of individuals without a history of ICH at baseline and anticoagulant use defined by self-report in the verbal interview at inclusion. Furthermore, individuals were included if they had a diagnosis of the International Classification of Diseases, Tenth Revision code Z92.1 (personal history of long-term (current) use of anticoagulants) or D68.3 (hemorrhagic disorder due to circulating anticoagulants) at baseline or a prescription of an anticoagulant medication between baseline and 6 months thereafter in the primary care data | Mean = 11.9 years | [ ,
69.0 % Male samples |
Mean = 62.0 years | Not reported | — | UKB | — |
| PSS011290 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS001082 | Cases were individuals who had experienced an ischemic stroke (IS) event. IS was defined according to the World Health Organization definition and included imaging by computed tomography or magnetic resonance imaging in the majority of cases. All cases of IS were further divided into subtypes of large vessel (n=49), small vessel (n=43), cardioembolic (n=36), and undetermined. Undetermined strokes had undetermined causes, multiple causes identified, or an incomplete evaluation made. All stroke events were assessed by an adjudication committee, blinded to the identity of participants and study treatment group assignment. | Median = 4.7 years IQR = [3.6, 5.7] years |
[ ,
45.1 % Male samples |
Mean = 75.1 years Sd = 4.2 years |
European | — | ASPREE | — |
| PSS009585 | Incident stroke as a confirmed diagnosis of first-ever fatal or nonfatal stroke event during follow-up (I60-I69) | — | 41,006 individuals, 43.1 % Male samples |
Mean = 51.9 years | East Asian | — | NR | — |
| PSS011390 | CVD ICD-10: I20-I25, I60-I64, G45 | — | 12,780 individuals, 0.0 % Male samples |
— | European | — | UKB | Mean age of full combined ancestry cohort = 58.8 years (sd = 7.1) |
| PSS008417 | — | — | 1,198 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS008418 | — | — | 1,183 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS009315 | — | — | 19,915 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009316 | — | — | 19,445 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS011390 | CVD ICD-10: I20-I25, I60-I64, G45 | — | 568 individuals, 0.0 % Male samples |
— | Not reported | — | UKB | Mean age of full combined ancestry cohort = 58.8 years (sd = 7.1) |
| PSS011789 | — | — | [ ,
0.0 % Male samples |
— | European | — | GEOS | — |
| PSS000057 | Incident stroke in was defined based on the UK Biobank (UKB) algorithm, based on medical history and linkage to data on hospital admissions and mortality. The authors also subtyped ischaemic stroke, intracerebral haemorrhage, or subarachnoid haemorrhage. UKB Participants with genetic data were excluded from the analysis based on the following criteria: failing genetic quality control (missingness > 5%, sex mismatch, excessive heterozygosity), having a history of stroke or myocardial infarction (MI), self-report of stroke or MI, missing lifestyle information. | Median = 7.1 years | [ ,
44.59 % Male samples |
Mean = 56.7 years Sd = 7.9 years |
European | Unrelated White British subset of UKB participants | UKB | — |
| PSS009641 | A stroke event was defined as hospitalization due to stroke which was self-reported in a structured and standardized inter- view performed by certified and supervised personnel. | — | 3,071 individuals, 49.0 % Male samples |
Mean = 57.4 years Sd = 12.9 years |
European | — | KORA | — |
| PSS007696 | — | — | [
|
— | European | — | CanPath | — |
| PSS009875 | Ischemic stroke | — | [
|
— | East Asian (Japanese) |
— | BBJ | % Male: 70.0% for cases and 53.1% for controls. Age information: Mean (cases) = 69.2 years, sd (cases) = 10.8; Mean (controls) = 66.5 years, sd (controls) = 12.5 |
| PSS009876 | Ischemic stroke | — | [
|
— | European | — | NR | ClinicalTrials_EUR |
| PSS009877 | Ischemic stroke | Mean = 4.6 years Sd = 4.8 years |
[ ,
37.8 % Male samples |
Mean = 44.0 years Sd = 15.7 years |
European (Estonian) |
— | EB | — |
| PSS009878 | Ischemic stroke | — | [
|
— | African American or Afro-Caribbean (African American) |
— | MVP | — |
| PSS009879 | Ischemic stroke | — | [
|
— | European (European) |
— | MVP | — |
| PSS009880 | Ischemic stroke | — | [
|
— | Sub-Saharan African (Nigerian) |
— | NR | Stroke Investigative Research & Educational Network (SIREN) |
| PSS009881 | Ischemic stroke | — | [
|
— | East Asian (Taiwanese) |
— | TWB | — |
| PSS007705 | — | — | [
|
— | Asian unspecified | Central and South Asian | UKB | — |
| PSS009090 | — | — | 4,046 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS008198 | — | — | 6,173 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS009089 | — | — | 4,121 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS008197 | — | — | 6,308 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS011506 | — | — | 7,889 individuals | — | European | — | AllofUs | — |
| PSS004618 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS004619 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS000058 | Prevalent and incident Ischaemic stroke; defined in http://biobank.ndph.ox.ac.uk/showcase/docs/alg_outcome_stroke.pdf | Mean = 6.3 years Sd = 1.9 years |
[ ,
45.7 % Male samples |
Mean = 54.3 years | European | — | UKB | Validation set |
| PSS004620 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS004621 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS007716 | — | — | [
|
— | European | — | UKB | — |
| PSS011223 | — | — | [
|
— | European | — | EB | — |
| PSS011358 | ICD-10 codes (I21, I22, I23, I24.1, and I25.2), ICD-9 codes (410, 411, 412, and 429.79) for MI, ICD-10 (I63, I64), ICD-9 (434 and 436) for IS | — | 454,493 individuals | — | European | — | UKB | Mean age of full combined ancestry cohort = 56.9 years |
| PSS011234 | I9_STR, ICD10: I61 | I63 | I64 (exclude I636), ICD9:431|4330A|4331A|4339A|4340A|4341A|4349A|436 | — | [
|
— | European | — | FinnGen | — |
| PSS011021 | — | Mean = 9.0 years | 41,006 individuals, 43.1 % Male samples |
Mean = 51.9 years Sd = 10.6 years |
East Asian (Chinese) |
— | InterASIA | China MUCA 1998, CIMIC |
| PSS008866 | — | — | 3,912 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS000601 | All patients with atrial fibrillation and CHADS2 score of 2 or higher who were treated with anticoagulation. The endpoint of interest was ischemic stroke. In each trial, ischemic stroke was formally adjudicated by an independent clinical endpoint committee blinded to treatment assignment. | Median = 2.8 years | [ ,
60.78 % Male samples |
Mean = 70.8 years Sd = 9.1 years |
European | — | ENGAGE_AF-TIMI_48 | — |
| PSS000602 | The endpoint of interest was ischemic stroke. In each trial, ischemic stroke was formally adjudicated by an independent clinical endpoint committee blinded to treatment assignment. | Median = 2.5 years | [ ,
71.7 % Male samples |
Mean = 65.9 years Sd = 9.2 years |
European | — | ENGAGE_AF-TIMI_48, FOURIER, PEGASUS-TIMI_54, SAVOR-TIMI_53, SOLID-TIMI_52 | — |
| PSS008867 | — | — | 3,806 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS009939 | — | — | 39,444 individuals | — | European (Finnish) |
— | FinnGen | — |
| PSS007979 | — | — | 1,804 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS007980 | — | — | 1,789 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS011247 | — | — | [
|
— | South Asian | — | G&H | — |
| PSS011318 | — | — | 18,505 individuals, 81.9 % Male samples |
Mean = 55.4 years Sd = 11.8 years |
African American or Afro-Caribbean | — | MVP | — |
| PSS011681 | The primary outcome was a first-onset cardiovascular disease event, defined as the composite of CHD (i.e., myocardial infarction or fatal CHD) or any stroke. Secondary outcomes included each of CHD and stroke separately, and a combination of CHD, stroke, and cardiac revascularisation procedures (i.e., percutaneous transluminal cor- onary angioplasty [PTCA] and coronary artery bypass grafting [CABG]). 3333 Cases are CHD events and 2347 are stroke events | Median = 8.1 years | [ ,
43.01 % Male samples |
Mean = 56.0 years Sd = 8.0 years |
European | — | UKB | — |
| PSS010050 | Participants without history of stroke, coronary heart disease, peripheral vascular disease, or congestive heart failure at recruitment | — | 454,756 individuals | — | Not reported | — | UKB | — |
| PSS011319 | — | — | 6,785 individuals, 86.5 % Male samples |
Mean = 52.6 years Sd = 14.8 years |
Hispanic or Latin American | — | MVP | — |
| PSS011320 | — | — | 53,861 individuals, 88.2 % Male samples |
Mean = 59.3 years Sd = 13.8 years |
European | — | MVP | — |
| PSS011263 | — | — | [
|
— | European | — | HUNT | — |
| PSS001445 | All individuals had a history of incident atrial fibrillation (AF) following enrollment. 2,310 individuals were taking warfarin. Cases were individuals with ischemic stroke (IS). IS was defined uisng the UKB codes: 131368, 42008. Of the 2,310 individuals taking warfarin, 93 were individuals with ischemic stroke (cases). | Median = 7.0 years | [ ,
66.7 % Male samples |
European | — | UKB | — | |
| PSS008643 | — | — | 6,641 individuals | — | European | Italy (South Europe) | UKB | — |