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Genome-wide association analyses of sleep disturbance traits identify new loci and highlight shared genetics with neuropsychiatric and metabolic traits

Abstract:

Chronic sleep disturbances, associated with cardio-metabolic diseases, psychiatric disorders and all-cause mortality1,2, affect 25-30% of adults worldwide. While environmental factors contribute importantly to self-reported habitual sleep duration and disruption, these traits are heritable4-9, and gene identification should improve our understanding of sleep function, mechanisms linking sleep to disease, and development of novel therapies. We report single and multi-trait genome-wide associat...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted manuscript

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Publisher copy:
10.1038/ng.3749

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Department:
Oxford, MSD, George Institute for Global Health
Role:
Author
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Grant:
R01DK107859 (RS), R21HL121728 (RS), F32DK102323 (JML), 413 R01HL113338 (JML, SR and RS), R01DK102696 (RS and FS), R01DK105072 (RS and FS), 414 T32HL007567(JL), HG003054 (XZ)
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Grant:
Research Infrastructure Fund
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Publisher:
Springer Nature Publisher's website
Journal:
Nature Genetics Journal website
Volume:
49
Pages:
274–281
Publication date:
2016-12-19
Acceptance date:
2016-11-25
DOI:
EISSN:
1546-1718
ISSN:
1061-4036
Pubs id:
pubs:662099
URN:
uri:067bf112-a954-466d-8df0-f57debf75b52
UUID:
uuid:067bf112-a954-466d-8df0-f57debf75b52
Local pid:
pubs:662099
Keywords:

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