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Meta-Analysis of Genome-Wide Association Studies Identifies Genetic Risk Factors for Stroke in African Americans.

TitleMeta-Analysis of Genome-Wide Association Studies Identifies Genetic Risk Factors for Stroke in African Americans.
Publication TypeJournal Article
Year of Publication2015
AuthorsCarty CL, Keene KL, Cheng Y-C, Meschia JF, Chen W-M, Nalls M, Bis JC, Kittner SJ, Rich SS, Tajuddin S, Zonderman AB, Evans MK, Langefeld CD, Gottesman R, Mosley TH, Shahar E, Woo D, Yaffe K, Liu Y, Sale MM, Dichgans M, Malik R, Longstreth WT, Mitchell BD, Psaty BM, Kooperberg C, Reiner A, Worrall BB
Secondary AuthorsFornage M
Corporate AuthorsCOMPASS and METASTROKE Consortia
JournalStroke
Volume46
Issue8
Pagination2063-8
Date Published2015 Aug
ISSN1524-4628
KeywordsAfrican Americans, Case-Control Studies, Cohort Studies, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Polymorphism, Single Nucleotide, Risk Factors, Stroke
Abstract

BACKGROUND AND PURPOSE: The majority of genome-wide association studies (GWAS) of stroke have focused on European-ancestry populations; however, none has been conducted in African Americans, despite the disproportionately high burden of stroke in this population. The Consortium of Minority Population Genome-Wide Association Studies of Stroke (COMPASS) was established to identify stroke susceptibility loci in minority populations.

METHODS: Using METAL, we conducted meta-analyses of GWAS in 14 746 African Americans (1365 ischemic and 1592 total stroke cases) from COMPASS, and tested genetic variants with P

RESULTS: The 15q21.3 locus linked with lipid levels and hypertension was associated with total stroke (rs4471613; P=3.9×10(-8)) in African Americans. Nominal associations (P

CONCLUSIONS: We identified a novel genetic variant associated with total stroke in African Americans and found that ischemic stroke loci identified in European-ancestry populations may also be relevant for African Americans. Our findings support investigation of diverse populations to identify and characterize genetic risk factors, and the importance of shared genetic risk across populations.

DOI10.1161/STROKEAHA.115.009044
Alternate JournalStroke
PubMed ID26089329
PubMed Central IDPMC4740911
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IK2 BX001823 / BX / BLRD VA / United States