1. Physician-Confirmed and Administrative Definitions of Stroke in UK Biobank Reflect the Same Underlying Genetic Trait.
- Author
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Rannikmäe, Kristiina, Rawlik, Konrad, Ferguson, Amy C., Avramidis, Nikos, Jiang, Muchen, Pirastu, Nicola, Shen, Xia, Davidson, Emma, Woodfield, Rebecca, Malik, Rainer, Dichgans, Martin, Tenesa, Albert, and Sudlow, Cathie
- Subjects
GENOME-wide association studies ,GENETIC correlations ,CEREBROVASCULAR disease ,DEFINITIONS ,SOURCE code ,GENETIC code - Abstract
Background: Stroke in UK Biobank (UKB) is ascertained via linkages to coded administrative datasets and self-report. We studied the accuracy of these codes using genetic validation. Methods: We compiled stroke-specific and broad cerebrovascular disease (CVD) code lists (Read V2/V3, ICD-9/-10) for medical settings (hospital, death record, primary care) and self-report. Among 408,210 UKB participants, we identified all with a relevant code, creating 12 stroke definitions based on the code type and source. We performed genome-wide association studies (GWASs) for each definition, comparing summary results against the largest published stroke GWAS (MEGASTROKE), assessing genetic correlations, and replicating 32 stroke-associated loci. Results: The stroke case numbers identified varied widely from 3,976 (primary care stroke-specific codes) to 19,449 (all codes, all sources). All 12 UKB stroke definitions were significantly correlated with the MEGASTROKE summary GWAS results (rg.81-1) and each other (rg.4-1). However, Bonferroni-corrected confidence intervals were wide, suggesting limited precision of some results. Six previously reported stroke-associated loci were replicated using ≥1 UKB stroke definition. Conclusions: Stroke case numbers in UKB depend on the code source and type used, with a 5-fold difference in the maximum case-sample size. All stroke definitions are significantly genetically correlated with the largest stroke GWAS to date. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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