Genome-wide analysis in over 1.6 million participants uncovers 147 loci associated with obstructive sleep apnoea.
Luis M García-Marín, Zuriel Ceja, Abishna Parasuraman, Jia Wen Xu, Santiago Díaz-Torres, Victor Flores-Ocampo, Asma M Aman, Mateo Maya-Martínez, Xueyan Huang, Camilla Pasquali, Aura Aguilar-Roldán, Bade Uckac, Fangyuan Cao, Natalia S Ogonowski, Nicholas G Martin
Abstract
Open AccessWe conducted the largest GWAS meta-analysis for obstructive sleep apnoea (OSA; Ncases= 230,657; Ncontrols= 1,377,442) using European ancestry genetic data from five countries. We identified 147 independent loci associated with OSA, and estimated SNP-based heritability at 16%. We report six independent loci in a separate African population meta-analysis (Ncases= 46,834; Ncontrols= 149,192). We observed spatially resolved gene enrichment involving GABAergic and glutamate pathways, synaptic transmission, and cytoskeletal remodelling. OSA-derived polygenic risk scores showed predictive ability for clinician ascertained OSA status, Fitbit-derived sleep features, and self-reported sleep traits in participants of diverse ancestral backgrounds. We identified putative causal relationships with ADHD, depression, multisite chronic pain, body mass index, and schizophrenia, among others. Our findings demonstrate a robust genetic component underlying OSA risk, independent of body mass index, implicating distinct neurobiological pathways related to synaptic function and corticothalamic feedback loops.