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Genome-wide association analysis of insomnia complaints identifies risk genes and genetic overlap with psychiatric and metabolic traits

2017/06/12 by Anke R. Hammerschlag, Sven Stringer, Christiaan de Leeuw +19 · 1 voice · 2 citations
Medicine · Psychology · #Child Nutrition and Feeding Issues #Restless Legs Syndrome Research #Sleep and related disorders

paper · pdf · doi:10.1038/ng.3888

openalex publication_date 2017/06/12 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/03

Abstract

Danielle Posthuma and colleagues report a genome-wide association analysis for insomnia complaints in 113,006 individuals from the UK Biobank that identifies associations with variants near seven genes. They find evidence for sex-specific genetic architectures underlying genetic risk for insomnia and genetic correlations between insomnia complaints and psychiatric and metabolic traits. Persistent insomnia is among the most frequent complaints in general practice. To identify genetic factors for insomnia complaints, we performed a genome-wide association study (GWAS) and a genome-wide gene-based association study (GWGAS) in 113,006 individuals. We identify three loci and seven genes associated with insomnia complaints, with the associations for one locus and five genes supported by joint analysis with an independent sample (n = 7,565). Our top association (MEIS1, P < 5 × 10−8) has previously been implicated in restless legs syndrome (RLS). Additional analyses favor the hypothesis that MEIS1 exhibits pleiotropy for insomnia and RLS and show that the observed association with insomnia complaints cannot be explained only by the presence of an RLS subgroup within the cases. Sex-specific analyses suggest that there are different genetic architectures between the sexes in addition to shared genetic factors. We show substantial positive genetic correlation of insomnia complaints with internalizing personality traits and metabolic traits and negative correlation with subjective well-being and educational attainment. These findings provide new insight into the genetic architecture of insomnia.

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