Genome-wide analysis in over 1.6 million participants uncovers 147 loci associated with obstructive sleep apnoea

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Abstract

We conducted the largest GWAS meta-analysis for obstructive sleep apnoea (OSA; N cases = 230,657; N controls = 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 (N cases = 46,834; N controls = 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.

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