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GWAS Study

Identifying genetic variants associated with the ICD10 (International Classification of Diseases10)-based diagnosis of cerebrovascular disease using a large-scale biomedical database.

Alkhalfan F, Gyftopoulos A, Chen YJ et al.

35994481 PubMed ID
GWAS Study Type
131796 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

AF
Alkhalfan F
GA
Gyftopoulos A
CY
Chen YJ
WC
Williams CH
PJ
Perry JA
HC
Hong CC
Chapter II

Abstract

Summary of the research findings

Objectives: To utilize the UK Biobank to identify genetic variants associated with the ICD10 (International Classification of Diseases10)-based diagnosis of cerebrovascular disease (CeVD).

10,608 European ancestry cases, 116,815 European ancestry controls, 323 South Asian, Afro-Caribbean or unknown ancestry cases, 4,049 South Asian, Afro-Caribbean or unknown ancestry controls

Chapter III

Study Statistics

Key metrics and study information

131796
Total Participants
GWAS
Study Type
No
Replicated
European, South Asian, African American or Afro-Caribbean, NR
Ancestry
U.K.
Recruitment Country
Chapter IV

Analysis

Comprehensive review of health and genetic findings

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Analysis In Progress

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