Trait: cerebrovascular disorder

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
  • BRAIN VASCULAR DIS
  • Brain Vascular Disorder
  • Brain Vascular Disorders
  • CEREBROVASCULAR DIS
  • CVA
  • CVA (cerebral vascular accident)
  • Cerebrovascular Disease
  • Cerebrovascular Disorders
  • Cerebrovascular Insufficiencies
  • Cerebrovascular Insufficiency
  • Cerebrovascular Occlusion
  • Cerebrovascular Occlusions
  • INTRACRANIAL VASCULAR DIS
  • Insufficiencies, Cerebrovascular
  • Insufficiency, Cerebrovascular
  • Intracranial Vascular Disease
  • Intracranial Vascular Diseases
  • Intracranial Vascular Disorder
  • Intracranial Vascular Disorders
  • Occlusion, Cerebrovascular
  • Occlusions, Cerebrovascular
  • VASCULAR DIS INTRACRANIAL
  • Vascular Disease, Intracranial
  • Vascular Diseases, Intracranial
  • Vascular Disorder, Brain
  • Vascular Disorder, Intracranial
  • Vascular Disorders, Brain
  • Vascular Disorders, Intracranial
  • cerebral infarction
  • cerebrovascular accident
  • cerebrovascular disease
  • cerebrovascular disorder
  • stroke
Mapped terms 19 mapped terms
  • DOID:6713
  • ICD10:I66
  • ICD10:I67
  • ICD10:I69
  • ICD10CM:I60-I69
  • ICD9:430-438.99
  • ICD9:434.91
  • ICD9:437.8
  • ICD9:437.9
  • MESH:D002561
  • MONDO:0011057
  • MeSH:D002561
  • MedDRA:10008196
  • MedDRA:10008200
  • NCIT:C2938
  • NCIt:C2938
  • SCTID:62914000
  • SNOMEDCT:62914000
  • UMLS:C0007820
Child trait(s) 5 child traits

Associated Polygenic Score(s)

Filter PGS by Participant Ancestry
Individuals included in:
G - Source of Variant Associations (GWAS)
D - Score Development/Training
E - PGS Evaluation
List of ancestries includes:
Display options:
Ancestry legend
Multi-ancestry (including European)
Multi-ancestry (excluding European)
African
East Asian
South Asian
Additional Asian Ancestries
European
Greater Middle Eastern
Hispanic or Latin American
Additional Diverse Ancestries
Not Reported
Note: This table shows all PGS for "cerebrovascular disorder" and any child terms of this trait in the EFO hierarchy by default.
Polygenic Score ID & Name PGS Publication ID (PGP) Reported Trait Mapped Trait(s) (Ontology) Number of Variants Ancestry distribution Scoring File (FTP Link)
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
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

Performance Metrics

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

PGS Performance
Metric ID (PPM) 		Evaluated Score PGS Sample Set ID
(PSS) 		Performance Source Trait PGS Effect Sizes
(per SD change) 		Classification Metrics Other Metrics Covariates Included in the Model PGS Performance:
Other Relevant Information
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 —
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 —
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 —
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 —

Evaluated Samples

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 —
PSS010105 ICD codes I67.1 and I60 —
[
  • 828 cases
  • , 68,568 controls
]
 — European
(Norwegian)		 — HUNT2 —
PSS007762 — — 2,470 individuals — African American or Afro-Caribbean Carribean UKB —
PSS007763 — — 2,407 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
[
  • 86 cases
  • , 4,972 controls
]
,
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
[
  • 8 cases
  • , 464 controls
]
,
69.0 % Male samples
 Mean = 62.0 years Not reported — 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
[
  • 173 cases
  • , 12,619 controls
]
,
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 —
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 —
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
[
  • 2,077 cases
  • , 304,396 controls
]
,
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 — —
[
  • 70 cases
  • , 7,057 controls
]
 — European — CanPath —
PSS009875 Ischemic stroke —
[
  • 1,470 cases
  • , 40,459 controls
]
 — 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 —
[
  • 960 cases
  • , 50,328 controls
]
 — European — NR ClinicalTrials_EUR
PSS009877 Ischemic stroke Mean = 4.6 years
Sd = 4.8 years
[
  • 1,128 cases
  • , 100,971 controls
]
,
37.8 % Male samples
 Mean = 44.0 years
Sd = 15.7 years		 European
(Estonian)		 — EB —
PSS009878 Ischemic stroke —
[
  • 2,227 cases
  • , 105,116 controls
]
 — African American or Afro-Caribbean
(African American)		 — MVP —
PSS009879 Ischemic stroke —
[
  • 8,392 cases
  • , 395,097 controls
]
 — European
(European)		 — MVP —
PSS009880 Ischemic stroke —
[
  • 1,691 cases
  • , 1,743 controls
]
 — Sub-Saharan African
(Nigerian)		 — NR Stroke Investigative Research & Educational Network (SIREN)
PSS009881 Ischemic stroke —
[
  • 1,399 cases
  • , 86,283 controls
]
 — East Asian
(Taiwanese)		 — Taiwan —
PSS007705 — —
[
  • 50 cases
  • , 8,040 controls
]
 — 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 —
PSS004618 — —
[
  • 12 cases
  • , 6,485 controls
]
 — African unspecified — UKB —
PSS004619 — —
[
  • 36 cases
  • , 24,869 controls
]
 — 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
[
  • 3,075 cases
  • , 392,318 controls
]
,
45.7 % Male samples
 Mean = 54.3 years European — UKB Validation set
PSS004620 — —
[
  • 16 cases
  • , 7,815 controls
]
 — South Asian — UKB —
PSS004621 — —
[
  • 97 cases
  • , 67,328 controls
]
 — European white British ancestry UKB Testing cohort (heldout set)
PSS007716 — —
[
  • 1,650 cases
  • , 348,757 controls
]
 — European — UKB —
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
[
  • 395 cases
  • , 10,792 controls
]
,
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
[
  • 960 cases
  • , 50,328 controls
]
,
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 —
PSS010050 Participants without history of stroke, coronary heart disease, peripheral vascular disease, or congestive heart failure at recruitment — 454,756 individuals — Not reported — UKB —
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
[
  • 684 cases
  • , 15,245 controls
]
,
66.7 % Male samples
 European — UKB —
PSS008643 — — 6,641 individuals — European Italy (South Europe) UKB —