| Predicted Trait | |
| Reported Trait | Stroke |
| Mapped Trait(s) | stroke disorder (MONDO_0005098) |
| Score Construction | |
| PGS Name | PRS11_stroke |
| Development Method | |
| Name | Genome-wide significant SNPs |
| Parameters | R2 < 0.01 |
| Variants | |
| Original Genome Build | NR |
| Number of Variants | 11 |
| Effect Weight Type | beta |
| PGS Source | |
| PGS Catalog Publication (PGP) ID | PGP000814 |
| Citation (link to publication) | Zheng J et al. J Intern Med (2024) |
| Study Identifiers | Sample Numbers | Sample Ancestry | Cohort(s) |
|---|---|---|---|
GWAS Catalog: GCST005838 Europe PMC: 29531354 |
45,564 individuals | East Asian | 19 cohorts
|
GWAS Catalog: GCST005838 Europe PMC: 29531354 |
446,696 individuals | European | 19 cohorts
|
GWAS Catalog: GCST005838 Europe PMC: 29531354 |
20,695 individuals | African American or Afro-Caribbean | 19 cohorts
|
GWAS Catalog: GCST005838 Europe PMC: 29531354 |
9,144 individuals | South Asian | 19 cohorts
|
GWAS Catalog: GCST005838 Europe PMC: 29531354 |
698 individuals | Asian unspecified | 19 cohorts
|
GWAS Catalog: GCST005838 Europe PMC: 29531354 |
1,557 individuals | Hispanic or Latin American | 19 cohorts
|
|
PGS Performance Metric ID (PPM) |
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 |
|---|---|---|---|---|---|---|---|---|
| PPM030733 | PSS012270| Multi-ancestry (including European)| 453,102 individuals |
PGP000814 | Zheng J et al. J Intern Med (2024) |
Reported Trait: Stroke | — | — | Hazard ratio (HR, high vs low tertile): 1.61 [1.41, 1.82] | major cardiovascular risk factors: Age, sex, ethnicity, the TDI, level of education, annual household income, BMI, smoking status, alcohol intake, physical activity (weekly metabolic equivalent minutes ≥600), vitamin supplementation, and comorbidities that may increase the risk of infections (i.e., hypertension, diabetes, high cholesterol, liver disease, kidney disease, and digestive disease) | — |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PSS012270 | — | — | 425,676 individuals | — | European | — | UKB | — |
| PSS012270 | — | — | 8,639 individuals | — | South Asian | — | UKB | — |
| PSS012270 | — | — | 7,345 individuals | — | African American or Afro-Caribbean | — | UKB | — |
| PSS012270 | — | — | 1,462 individuals | — | East Asian (Chinese) |
— | UKB | — |
| PSS012270 | — | — | 9,980 individuals | — | Not reported | — | UKB | — |