Genome-wide meta-analysis of insomnia prioritizes genes associated with metabolic and psychiatric pathways.
Kyoko WatanabePhilip R JansenJeanne E SavagePriyanka NandakumarXin Wangnull nullDavid A HindsJoshua C GrayDaniel F LeveyRenato PolimantiMurray B SteinEus J W Van SomerenAugust B SmitDanielle PosthumaPublished in: Nature genetics (2022)
Insomnia is a heritable, highly prevalent sleep disorder for which no sufficient treatment currently exists. Previous genome-wide association studies with up to 1.3 million subjects identified over 200 associated loci. This extreme polygenicity suggested that many more loci remain to be discovered. The current study almost doubled the sample size to 593,724 cases and 1,771,286 controls, thereby increasing statistical power, and identified 554 risk loci (including 364 novel loci). To capitalize on this large number of loci, we propose a novel strategy to prioritize genes using external biological resources and functional interactions between genes across risk loci. Of all 3,898 genes naively implicated from the risk loci, we prioritize 289 and find brain-tissue expression specificity and enrichment in specific gene sets of synaptic signaling functions and neuronal differentiation. We show that this novel gene prioritization strategy yields specific hypotheses on underlying mechanisms of insomnia that would have been missed by traditional approaches.
Keyphrases
- genome wide
- genome wide association
- dna methylation
- copy number
- systematic review
- sleep quality
- genome wide association study
- gene expression
- mental health
- poor prognosis
- randomized controlled trial
- climate change
- case control
- white matter
- depressive symptoms
- cerebral ischemia
- blood brain barrier
- genome wide identification
- combination therapy
- transcription factor
- binding protein
- replacement therapy