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从失眠症状的遗传学中获得的生物学和临床见解。

Biological and clinical insights from genetics of insomnia symptoms.

机构信息

Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.

Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.

出版信息

Nat Genet. 2019 Mar;51(3):387-393. doi: 10.1038/s41588-019-0361-7. Epub 2019 Feb 25.


DOI:10.1038/s41588-019-0361-7
PMID:30804566
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6415688/
Abstract

Insomnia is a common disorder linked with adverse long-term medical and psychiatric outcomes. The underlying pathophysiological processes and causal relationships of insomnia with disease are poorly understood. Here we identified 57 loci for self-reported insomnia symptoms in the UK Biobank (n = 453,379) and confirmed their effects on self-reported insomnia symptoms in the HUNT Study (n = 14,923 cases and 47,610 controls), physician-diagnosed insomnia in the Partners Biobank (n = 2,217 cases and 14,240 controls), and accelerometer-derived measures of sleep efficiency and sleep duration in the UK Biobank (n = 83,726). Our results suggest enrichment of genes involved in ubiquitin-mediated proteolysis and of genes expressed in multiple brain regions, skeletal muscle, and adrenal glands. Evidence of shared genetic factors was found between frequent insomnia symptoms and restless legs syndrome, aging, and cardiometabolic, behavioral, psychiatric, and reproductive traits. Evidence was found for a possible causal link between insomnia symptoms and coronary artery disease, depressive symptoms, and subjective well-being.

摘要

失眠是一种常见的障碍,与不良的长期医学和精神后果有关。失眠与疾病的潜在病理生理过程和因果关系尚不清楚。在这里,我们在英国生物库中确定了 57 个与自我报告的失眠症状相关的位点(n=453379),并在 HUNT 研究中确认了它们对自我报告的失眠症状(n=14923 例病例和 47610 例对照)、合作伙伴生物库中医生诊断的失眠(n=2217 例病例和 14240 例对照)和英国生物库中加速计测量的睡眠效率和睡眠时间(n=83726)的影响。我们的结果表明,参与泛素介导的蛋白水解的基因和在多个大脑区域、骨骼肌和肾上腺中表达的基因富集。在频繁的失眠症状与不宁腿综合征、衰老以及心血管代谢、行为、精神和生殖特征之间发现了共享遗传因素的证据。在失眠症状与冠状动脉疾病、抑郁症状和主观幸福感之间发现了可能存在因果关系的证据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4c9/6415688/5824fa058636/nihms-1519714-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4c9/6415688/400679344b21/nihms-1519714-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4c9/6415688/491a9a3e6a50/nihms-1519714-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4c9/6415688/5824fa058636/nihms-1519714-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4c9/6415688/400679344b21/nihms-1519714-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4c9/6415688/491a9a3e6a50/nihms-1519714-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4c9/6415688/5824fa058636/nihms-1519714-f0003.jpg

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本文引用的文献

[1]
Genome-wide analysis of insomnia in 1,331,010 individuals identifies new risk loci and functional pathways.

Nat Genet. 2019-2-25

[2]
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Nature. 2018-10-10

[3]
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Nature. 2018-10-10

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Elife. 2018-5-30

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Nat Commun. 2017-11-28

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Lancet Neurol. 2017-11

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J Sleep Res. 2017-12

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[10]
Genome-wide association analysis of insomnia complaints identifies risk genes and genetic overlap with psychiatric and metabolic traits.

Nat Genet. 2017-11

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