Frontiers in Neurology (Feb 2022)

Physician-Confirmed and Administrative Definitions of Stroke in UK Biobank Reflect the Same Underlying Genetic Trait

  • Kristiina Rannikmäe,
  • Konrad Rawlik,
  • Amy C. Ferguson,
  • Nikos Avramidis,
  • Muchen Jiang,
  • Nicola Pirastu,
  • Xia Shen,
  • Xia Shen,
  • Xia Shen,
  • Emma Davidson,
  • Rebecca Woodfield,
  • Rainer Malik,
  • Martin Dichgans,
  • Martin Dichgans,
  • Martin Dichgans,
  • Albert Tenesa,
  • Albert Tenesa,
  • Albert Tenesa,
  • Cathie Sudlow,
  • Cathie Sudlow

DOI
https://doi.org/10.3389/fneur.2021.787107
Journal volume & issue
Vol. 12

Abstract

Read online

BackgroundStroke 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.MethodsWe 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.ResultsThe 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.ConclusionsStroke 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.

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