Title |
Genome-wide association analysis of insomnia complaints identifies risk genes and genetic overlap with psychiatric and metabolic traits
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Published in |
Nature Genetics, June 2017
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DOI | 10.1038/ng.3888 |
Pubmed ID | |
Authors |
Anke R Hammerschlag, Sven Stringer, Christiaan A de Leeuw, Suzanne Sniekers, Erdogan Taskesen, Kyoko Watanabe, Tessa F Blanken, Kim Dekker, Bart H W te Lindert, Rick Wassing, Ingileif Jonsdottir, Gudmar Thorleifsson, Hreinn Stefansson, Thorarinn Gislason, Klaus Berger, Barbara Schormair, Juergen Wellmann, Juliane Winkelmann, Kari Stefansson, Konrad Oexle, Eus J W Van Someren, Danielle Posthuma |
Abstract |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 29 | 19% |
United Kingdom | 25 | 16% |
Saudi Arabia | 8 | 5% |
Netherlands | 6 | 4% |
Australia | 4 | 3% |
France | 3 | 2% |
Canada | 3 | 2% |
Germany | 2 | 1% |
Switzerland | 2 | 1% |
Other | 11 | 7% |
Unknown | 59 | 39% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 83 | 55% |
Scientists | 52 | 34% |
Practitioners (doctors, other healthcare professionals) | 13 | 9% |
Science communicators (journalists, bloggers, editors) | 4 | 3% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Portugal | 1 | <1% |
Unknown | 331 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 67 | 20% |
Researcher | 61 | 18% |
Student > Master | 35 | 11% |
Student > Bachelor | 25 | 8% |
Other | 16 | 5% |
Other | 56 | 17% |
Unknown | 72 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 54 | 16% |
Agricultural and Biological Sciences | 44 | 13% |
Biochemistry, Genetics and Molecular Biology | 40 | 12% |
Psychology | 35 | 11% |
Neuroscience | 34 | 10% |
Other | 36 | 11% |
Unknown | 89 | 27% |