Publication Information (EuropePMC) | |
Title | A Family and a Genome-Wide Polygenic Risk Score Are Independently Associated With Stroke in a Population-Based Study. |
PubMed ID | 35387493(Europe PMC) |
doi | 10.1161/strokeaha.121.036551 |
Publication Date | April 7, 2022 |
Journal | Stroke |
Author(s) | Hämmerle M, Forer L, Schönherr S, Peters A, Grallert H, Kronenberg F, Gieger C, Lamina C. |
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) |
---|---|---|---|---|---|---|
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 |
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 |
---|---|---|---|---|---|---|---|---|---|
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 | — |
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 |
---|---|---|---|---|---|---|---|---|
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 | — |