Genome-wide analysis of insomnia in 1,331,010 individuals identifies new risk loci and functional pathways.
Philip R JansenKyoko WatanabeSven StringerNathan G SkeneJulien BryoisAnke R HammerschlagChristiaan A de LeeuwJeroen S BenjaminsAna B Muñoz-ManchadoMats NagelJeanne E SavageHenning TiemeierTonya Whitenull nullJoyce Y TungDavid A HindsVladimir VacicXin WangPatrick F SullivanSophie van der SluisTinca J C PoldermanAugust B SmitJens Hjerling LefflerEus J W Van SomerenDanielle PosthumaPublished in: Nature genetics (2019)
Insomnia is the second most prevalent mental disorder, with no sufficient treatment available. Despite substantial heritability, insight into the associated genes and neurobiological pathways remains limited. Here, we use a large genetic association sample (n = 1,331,010) to detect novel loci and gain insight into the pathways, tissue and cell types involved in insomnia complaints. We identify 202 loci implicating 956 genes through positional, expression quantitative trait loci, and chromatin mapping. The meta-analysis explained 2.6% of the variance. We show gene set enrichments for the axonal part of neurons, cortical and subcortical tissues, and specific cell types, including striatal, hypothalamic, and claustrum neurons. We found considerable genetic correlations with psychiatric traits and sleep duration, and modest correlations with other sleep-related traits. Mendelian randomization identified the causal effects of insomnia on depression, diabetes, and cardiovascular disease, and the protective effects of educational attainment and intracranial volume. Our findings highlight key brain areas and cell types implicated in insomnia, and provide new treatment targets.
Keyphrases
- genome wide
- dna methylation
- sleep quality
- copy number
- cardiovascular disease
- single cell
- systematic review
- genome wide analysis
- type diabetes
- cell therapy
- gene expression
- high resolution
- mental health
- spinal cord
- poor prognosis
- physical activity
- spinal cord injury
- stem cells
- metabolic syndrome
- parkinson disease
- mass spectrometry
- optical coherence tomography
- dna damage
- meta analyses
- genome wide association study
- skeletal muscle
- adipose tissue
- genome wide association
- bone marrow