Multi-ancestry meta-analysis identifies 2 novel loci associated with ischemic stroke and reveals heterogeneity of effects between sexes and ancestries

Abstract

Cerebrovascular accident (stroke) is the second leading cause of death and disability worldwide. Stroke prevalence varies by sex and ancestry, which could be due to genetic heterogeneity between subgroups. We performed a genome-wide meta-analysis of 16 biobanks across multiple ancestries to study the genetic contributions underlying ischemic stroke (60,176 cases, 1,310,725 controls) as part of the Global Biobank Meta-analysis Initiative (GBMI). Two novel loci associated ischemic stroke with plausible candidate genes, FGF5 and CENPQ/MUT, were identified after replication in four additional datasets. One locus showed significant ancestry heterogeneity (PDE3A) and two loci showed significant sex-heterogeneity (SH3PXD2A and ALDH2). The ALDH2 locus had a male-specific association for stroke in GBMI (P-value males = 1.67e-24, P-value females = 0.126). To test whether we would see a difference in the predictive power of sex-specific polygenic risk scores (PRSs), we compared the C-indexes for sex-specific and sex-combined PRSs in HUNT dataset. A sex-combined PRS was more successful at predicting stroke cases than a sex-specific PRS, most likely due to more stable effect estimates from the sex-combined summary-statistics. These approaches can be applied to further unravel the genetic underpinnings of stroke and other complex diseases.