التفاصيل البيبلوغرافية
| العنوان: |
Physician-Confirmed and Administrative Definitions of Stroke in UK Biobank Reflect the Same Underlying Genetic Trait |
| المؤلفون: |
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, Sudlow, Cathie |
| المساهمون: |
Medical Research Council |
| المصدر: |
Frontiers in Neurology ; volume 12 ; ISSN 1664-2295 |
| بيانات النشر: |
Frontiers Media SA |
| سنة النشر: |
2022 |
| المجموعة: |
Frontiers (Publisher - via CrossRef) |
| مصطلحات موضوعية: |
Neurology (clinical), Neurology |
| الوصف: |
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. |
| نوع الوثيقة: |
article in journal/newspaper |
| اللغة: |
unknown |
| DOI: |
10.3389/fneur.2021.787107 |
| DOI: |
10.3389/fneur.2021.787107/full |
| الإتاحة: |
https://doi.org/10.3389/fneur.2021.787107Test |
| حقوق: |
https://creativecommons.org/licenses/by/4.0Test/ |
| رقم الانضمام: |
edsbas.2F2B6907 |
| قاعدة البيانات: |
BASE |
