A multi-ancestry genome-wide study incorporating gene-smoking interactions identifies multiple new loci for pulse pressure and mean arterial pressure
Sung, Yun Ju, Jennifer A. Smith, Sharon L. R. Kardia, David Weir, Erin Bakshis Ware, Jessica Faul, Lisa de las Fuentes, Thomas W. Winkler, et al. Forthcoming. "A multi-ancestry genome-wide study incorporating gene-smoking interactions identifies multiple new loci for pulse pressure and mean arterial pressure." Human Molecular Genetics.
Elevated blood pressure (BP), a leading cause of global morbidity and mortality, is influenced by both genetic and lifestyle factors. Cigarette smoking is one such lifestyle factor. Across five ancestries, we performed a genome-wide gene-smoking interaction study of mean arterial pressure (MAP) and pulse pressure (PP) in 129,913 individuals in stage 1 and follow-up analysis in 480,178 additional individuals in stage 2. We report here 136 loci significantly associated with MAP and/or PP. Of these, 61 were previously published through main-effect analysis of BP traits, 37 were recently reported by us for SBP and/or DBP through gene-smoking interaction analysis, and 38 were newly identified (P < 5×10-8, FDR < 0.05). We also identified 9 new signals near known loci. Eight of the 136 loci showed significant interaction with smoking status. They include CSMD1 previously reported for insulin resistance and BP in the spontaneously hypertensive rats. Many of the 38 new loci show biologic plausibility for a role in BP regulation. SLC26A7 encodes a chloride/bicarbonate-exchanger expressed in the renal outer medullary collecting duct. AVPR1A is widely expressed including in vascular smooth muscle cells, kidney, myocardium, and brain. FHAD1 is a long non-coding RNA overexpressed in heart failure. TMEM51 was associated with contractile function in cardiomyocytes. CASP9 plays a central role in cardiomyocyte apoptosis. Thirty novel loci were identified only in African ancestry. Our findings highlight the value of multi-ancestry investigations, particularly in studies of interaction with lifestyle factors, where genomic and lifestyle differences may contribute to novel findings.
Genomics GxE interactions Lifestyle Blood pressure Multi-ancestry GWAS