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Exome Array Analysis of 9721 Ischemic Stroke Cases from the SiGN Consortium.

Authors :
Xu H
Nguyen K
Gaynor BJ
Ling H
Zhao W
McArdle PF
O'Connor TD
Stine OC
Ryan KA
Lynch M
Smith JA
Faul JD
Hu Y
Haessler JW
Fornage M
Kooperberg C
On Behalf Of The Trans-Omics For Precision Medicine TOPMed Stroke Working Group
Perry JA
Hong CC
Cole JW
Pugh E
Doheny K
Kardia SLR
Weir DR
Kittner SJ
Mitchell BD
Source :
Genes [Genes (Basel)] 2022 Dec 24; Vol. 14 (1). Date of Electronic Publication: 2022 Dec 24.
Publication Year :
2022

Abstract

Recent genome wide association studies have identified 89 common genetic variants robustly associated with ischemic stroke and primarily located in non-coding regions. To evaluate the contribution of coding variants, which are mostly rare, we performed an exome array analysis on 106,101 SNPs for 9721 ischemic stroke cases from the SiGN Consortium, and 12,345 subjects with no history of stroke from the Health Retirement Study and SiGN consortium. We identified 15 coding variants significantly associated with all ischemic stroke at array-wide threshold (i.e., p < 4.7 × 10 <superscript>-7</superscript> ), including two common SNPs in ABO that have previously been associated with stroke. Twelve of the remaining 13 variants were extremely rare in European Caucasians (MAF < 0.1%) and the associations were driven by African American samples. There was no evidence for replication of these associations in either TOPMed Stroke samples ( n = 5613 cases) or UK Biobank ( n = 5874 stroke cases), although power to replicate was very low given the low allele frequencies of the associated variants and a shortage of samples from diverse ancestries. Our study highlights the need for acquiring large, well-powered diverse cohorts to study rare variants, and the technical challenges using array-based genotyping technologies for rare variant genotyping.

Details

Language :
English
ISSN :
2073-4425
Volume :
14
Issue :
1
Database :
MEDLINE
Journal :
Genes
Publication Type :
Academic Journal
Accession number :
36672803
Full Text :
https://doi.org/10.3390/genes14010061