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Genome-wide Analysis of Insomnia Disorder

Insomnia is a worldwide problem with substantial deleterious health effects. Twin studies have shown a heritable basis for various sleep-related traits, including insomnia, but robust genetic risk variants have just recently begun to be identified. We conducted genome-wide association studies (GWAS)...

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Autores principales: Stein, Murray B., McCarthy, Michael J., Chen, Chia-Yen, Jain, Sonia, Gelernter, Joel, He, Feng, Heeringa, Steven G., Kessler, Ronald C., Nock, Matthew K., Ripke, Stephan, Sun, Xiaoying, Wynn, Gary H., Smoller, Jordan W., Ursano, Robert J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6129221/
https://www.ncbi.nlm.nih.gov/pubmed/29520036
http://dx.doi.org/10.1038/s41380-018-0033-5
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author Stein, Murray B.
McCarthy, Michael J.
Chen, Chia-Yen
Jain, Sonia
Gelernter, Joel
He, Feng
Heeringa, Steven G.
Kessler, Ronald C.
Nock, Matthew K.
Ripke, Stephan
Sun, Xiaoying
Wynn, Gary H.
Smoller, Jordan W.
Ursano, Robert J.
author_facet Stein, Murray B.
McCarthy, Michael J.
Chen, Chia-Yen
Jain, Sonia
Gelernter, Joel
He, Feng
Heeringa, Steven G.
Kessler, Ronald C.
Nock, Matthew K.
Ripke, Stephan
Sun, Xiaoying
Wynn, Gary H.
Smoller, Jordan W.
Ursano, Robert J.
author_sort Stein, Murray B.
collection PubMed
description Insomnia is a worldwide problem with substantial deleterious health effects. Twin studies have shown a heritable basis for various sleep-related traits, including insomnia, but robust genetic risk variants have just recently begun to be identified. We conducted genome-wide association studies (GWAS) of soldiers in the Army Study To Assess Risk and Resilience in Servicemembers (STARRS). GWAS were carried out separately for each ancestral group (EUR, AFR, LAT) using logistic regression for each of the STARRS component studies (including 3,237 cases and 14,414 controls), and then meta-analysis was conducted across studies and ancestral groups. Heritability (SNP-based) for lifetime insomnia disorder was significant (h(2)(g)=0.115, p=1.78×10(−4) in EUR). A meta-analysis including three ancestral groups and three study cohorts revealed a genome-wide significant locus on Chr 7 (q11.22) (top SNP rs186736700, OR = 0.607, p = 4.88×10(−9)) and a genome-wide significant gene-based association (p = 7.61×10(−7)) in EUR for RFX3 on Chr 9. Polygenic risk for sleeplessness/insomnia severity in UK Biobank was significantly positively associated with likelihood of insomnia disorder in STARRS. Genetic contributions to insomnia disorder in STARRS were significantly positively correlated with major depressive disorder (r(g) = 0.44, se = 0.22, p = 0.047) and type 2 diabetes (r(g) = 0.43, se = 0.20, p = 0.037), and negatively with morningness chronotype (r(g) = −0.34, se = 0.17, p = 0.039) and subjective well-being (r(g) = −0.59, se = 0.23, p = 0.009) in external datasets. Insomnia associated loci may contribute to the genetic risk underlying a range of health conditions including psychiatric disorders and metabolic disease.
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spelling pubmed-61292212018-12-08 Genome-wide Analysis of Insomnia Disorder Stein, Murray B. McCarthy, Michael J. Chen, Chia-Yen Jain, Sonia Gelernter, Joel He, Feng Heeringa, Steven G. Kessler, Ronald C. Nock, Matthew K. Ripke, Stephan Sun, Xiaoying Wynn, Gary H. Smoller, Jordan W. Ursano, Robert J. Mol Psychiatry Article Insomnia is a worldwide problem with substantial deleterious health effects. Twin studies have shown a heritable basis for various sleep-related traits, including insomnia, but robust genetic risk variants have just recently begun to be identified. We conducted genome-wide association studies (GWAS) of soldiers in the Army Study To Assess Risk and Resilience in Servicemembers (STARRS). GWAS were carried out separately for each ancestral group (EUR, AFR, LAT) using logistic regression for each of the STARRS component studies (including 3,237 cases and 14,414 controls), and then meta-analysis was conducted across studies and ancestral groups. Heritability (SNP-based) for lifetime insomnia disorder was significant (h(2)(g)=0.115, p=1.78×10(−4) in EUR). A meta-analysis including three ancestral groups and three study cohorts revealed a genome-wide significant locus on Chr 7 (q11.22) (top SNP rs186736700, OR = 0.607, p = 4.88×10(−9)) and a genome-wide significant gene-based association (p = 7.61×10(−7)) in EUR for RFX3 on Chr 9. Polygenic risk for sleeplessness/insomnia severity in UK Biobank was significantly positively associated with likelihood of insomnia disorder in STARRS. Genetic contributions to insomnia disorder in STARRS were significantly positively correlated with major depressive disorder (r(g) = 0.44, se = 0.22, p = 0.047) and type 2 diabetes (r(g) = 0.43, se = 0.20, p = 0.037), and negatively with morningness chronotype (r(g) = −0.34, se = 0.17, p = 0.039) and subjective well-being (r(g) = −0.59, se = 0.23, p = 0.009) in external datasets. Insomnia associated loci may contribute to the genetic risk underlying a range of health conditions including psychiatric disorders and metabolic disease. 2018-03-08 2018-11 /pmc/articles/PMC6129221/ /pubmed/29520036 http://dx.doi.org/10.1038/s41380-018-0033-5 Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms
spellingShingle Article
Stein, Murray B.
McCarthy, Michael J.
Chen, Chia-Yen
Jain, Sonia
Gelernter, Joel
He, Feng
Heeringa, Steven G.
Kessler, Ronald C.
Nock, Matthew K.
Ripke, Stephan
Sun, Xiaoying
Wynn, Gary H.
Smoller, Jordan W.
Ursano, Robert J.
Genome-wide Analysis of Insomnia Disorder
title Genome-wide Analysis of Insomnia Disorder
title_full Genome-wide Analysis of Insomnia Disorder
title_fullStr Genome-wide Analysis of Insomnia Disorder
title_full_unstemmed Genome-wide Analysis of Insomnia Disorder
title_short Genome-wide Analysis of Insomnia Disorder
title_sort genome-wide analysis of insomnia disorder
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6129221/
https://www.ncbi.nlm.nih.gov/pubmed/29520036
http://dx.doi.org/10.1038/s41380-018-0033-5
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