Potential Genetic Overlap Between Insomnia and Sleep Symptoms in Major Depressive Disorder: A Polygenic Risk Score Analysis
Background: The prevalence of insomnia and hypersomnia in depressed individuals is substantially higher than that found in the general population. Unfortunately, these concurrent sleep problems can have profound effects on the disease course. Although the full biology of sleep remains to be elucidat...
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Frontiers Media S.A.
2021
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oai:doaj.org-article:834814f8679c42868c6a0ec8d2c434c82021-12-03T07:20:23ZPotential Genetic Overlap Between Insomnia and Sleep Symptoms in Major Depressive Disorder: A Polygenic Risk Score Analysis1664-064010.3389/fpsyt.2021.734077https://doaj.org/article/834814f8679c42868c6a0ec8d2c434c82021-12-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fpsyt.2021.734077/fullhttps://doaj.org/toc/1664-0640Background: The prevalence of insomnia and hypersomnia in depressed individuals is substantially higher than that found in the general population. Unfortunately, these concurrent sleep problems can have profound effects on the disease course. Although the full biology of sleep remains to be elucidated, a recent genome-wide association (GWAS) of insomnia, and other sleep traits in over 1 million individuals was recently published and provides many promising hits for genetics of insomnia in a population-based sample.Methods: Using data from the largest available GWAS of insomnia and other sleep traits, we sought to test if sleep variable PRS scores derived from population-based studies predicted sleep variables in samples of depressed cases [Psychiatric Genomics Consortium - Major Depressive Disorder subjects (PGC MDD)]. A leave-one-out analysis was performed to determine the effects that each individual study had on our results.Results: The only significant finding was for insomnia, where p-value threshold, p = 0.05 was associated with insomnia in our PGC MDD sample (R2 = 1.75−3, p = 0.006).Conclusion: Our results reveal that <1% of variance is explained by the variants that cover the two significant p-value thresholds, which is in line with the fact that depression and insomnia are both polygenic disorders. To the best of our knowledge, this is the first study to investigate genetic overlap between the general population and a depression sample for insomnia, which has important treatment implications, such as leading to novel drug targets in future research efforts.Lindsay M. Melhuish BeaupreLindsay M. Melhuish BeaupreArun K. TiwariArun K. TiwariVanessa F. GonçalvesVanessa F. GonçalvesVanessa F. GonçalvesClement C. ZaiClement C. ZaiClement C. ZaiClement C. ZaiVictoria S. MarsheVictoria S. MarsheCathryn M. LewisCathryn M. LewisNicholas G. MartinAndrew M. McIntoshMark J. AdamsBernhard T. BauneBernhard T. BauneBernhard T. BauneDoug F. LevinsonDorret I. BoomsmaBrenda W. J. H. PenninxGerome BreenGerome BreenSteve HamiltonSwapnil AwasthiStephan RipkeStephan RipkeStephan RipkeStephan RipkeLisa JonesIan JonesEnda M. ByrneIan B. HickieJames P. PotashJianxin ShiMyrna M. WeissmanMyrna M. WeissmanYuri MilaneschiStanley I. ShynEco J. C. de GeusGonneke WillemsenGregory M. BrownGregory M. BrownJames L. KennedyJames L. KennedyJames L. KennedyMajor Depressive Disorder Working Group of the Psychiatric Genomics ConsortiumFrontiers Media S.A.articlesleepmajor depressive disorderinsomniahypersomniapolygenic riskPsychiatryRC435-571ENFrontiers in Psychiatry, Vol 12 (2021) |
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sleep major depressive disorder insomnia hypersomnia polygenic risk Psychiatry RC435-571 |
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sleep major depressive disorder insomnia hypersomnia polygenic risk Psychiatry RC435-571 Lindsay M. Melhuish Beaupre Lindsay M. Melhuish Beaupre Arun K. Tiwari Arun K. Tiwari Vanessa F. Gonçalves Vanessa F. Gonçalves Vanessa F. Gonçalves Clement C. Zai Clement C. Zai Clement C. Zai Clement C. Zai Victoria S. Marshe Victoria S. Marshe Cathryn M. Lewis Cathryn M. Lewis Nicholas G. Martin Andrew M. McIntosh Mark J. Adams Bernhard T. Baune Bernhard T. Baune Bernhard T. Baune Doug F. Levinson Dorret I. Boomsma Brenda W. J. H. Penninx Gerome Breen Gerome Breen Steve Hamilton Swapnil Awasthi Stephan Ripke Stephan Ripke Stephan Ripke Stephan Ripke Lisa Jones Ian Jones Enda M. Byrne Ian B. Hickie James P. Potash Jianxin Shi Myrna M. Weissman Myrna M. Weissman Yuri Milaneschi Stanley I. Shyn Eco J. C. de Geus Gonneke Willemsen Gregory M. Brown Gregory M. Brown James L. Kennedy James L. Kennedy James L. Kennedy Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium Potential Genetic Overlap Between Insomnia and Sleep Symptoms in Major Depressive Disorder: A Polygenic Risk Score Analysis |
| description |
Background: The prevalence of insomnia and hypersomnia in depressed individuals is substantially higher than that found in the general population. Unfortunately, these concurrent sleep problems can have profound effects on the disease course. Although the full biology of sleep remains to be elucidated, a recent genome-wide association (GWAS) of insomnia, and other sleep traits in over 1 million individuals was recently published and provides many promising hits for genetics of insomnia in a population-based sample.Methods: Using data from the largest available GWAS of insomnia and other sleep traits, we sought to test if sleep variable PRS scores derived from population-based studies predicted sleep variables in samples of depressed cases [Psychiatric Genomics Consortium - Major Depressive Disorder subjects (PGC MDD)]. A leave-one-out analysis was performed to determine the effects that each individual study had on our results.Results: The only significant finding was for insomnia, where p-value threshold, p = 0.05 was associated with insomnia in our PGC MDD sample (R2 = 1.75−3, p = 0.006).Conclusion: Our results reveal that <1% of variance is explained by the variants that cover the two significant p-value thresholds, which is in line with the fact that depression and insomnia are both polygenic disorders. To the best of our knowledge, this is the first study to investigate genetic overlap between the general population and a depression sample for insomnia, which has important treatment implications, such as leading to novel drug targets in future research efforts. |
| format |
article |
| author |
Lindsay M. Melhuish Beaupre Lindsay M. Melhuish Beaupre Arun K. Tiwari Arun K. Tiwari Vanessa F. Gonçalves Vanessa F. Gonçalves Vanessa F. Gonçalves Clement C. Zai Clement C. Zai Clement C. Zai Clement C. Zai Victoria S. Marshe Victoria S. Marshe Cathryn M. Lewis Cathryn M. Lewis Nicholas G. Martin Andrew M. McIntosh Mark J. Adams Bernhard T. Baune Bernhard T. Baune Bernhard T. Baune Doug F. Levinson Dorret I. Boomsma Brenda W. J. H. Penninx Gerome Breen Gerome Breen Steve Hamilton Swapnil Awasthi Stephan Ripke Stephan Ripke Stephan Ripke Stephan Ripke Lisa Jones Ian Jones Enda M. Byrne Ian B. Hickie James P. Potash Jianxin Shi Myrna M. Weissman Myrna M. Weissman Yuri Milaneschi Stanley I. Shyn Eco J. C. de Geus Gonneke Willemsen Gregory M. Brown Gregory M. Brown James L. Kennedy James L. Kennedy James L. Kennedy Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium |
| author_facet |
Lindsay M. Melhuish Beaupre Lindsay M. Melhuish Beaupre Arun K. Tiwari Arun K. Tiwari Vanessa F. Gonçalves Vanessa F. Gonçalves Vanessa F. Gonçalves Clement C. Zai Clement C. Zai Clement C. Zai Clement C. Zai Victoria S. Marshe Victoria S. Marshe Cathryn M. Lewis Cathryn M. Lewis Nicholas G. Martin Andrew M. McIntosh Mark J. Adams Bernhard T. Baune Bernhard T. Baune Bernhard T. Baune Doug F. Levinson Dorret I. Boomsma Brenda W. J. H. Penninx Gerome Breen Gerome Breen Steve Hamilton Swapnil Awasthi Stephan Ripke Stephan Ripke Stephan Ripke Stephan Ripke Lisa Jones Ian Jones Enda M. Byrne Ian B. Hickie James P. Potash Jianxin Shi Myrna M. Weissman Myrna M. Weissman Yuri Milaneschi Stanley I. Shyn Eco J. C. de Geus Gonneke Willemsen Gregory M. Brown Gregory M. Brown James L. Kennedy James L. Kennedy James L. Kennedy Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium |
| author_sort |
Lindsay M. Melhuish Beaupre |
| title |
Potential Genetic Overlap Between Insomnia and Sleep Symptoms in Major Depressive Disorder: A Polygenic Risk Score Analysis |
| title_short |
Potential Genetic Overlap Between Insomnia and Sleep Symptoms in Major Depressive Disorder: A Polygenic Risk Score Analysis |
| title_full |
Potential Genetic Overlap Between Insomnia and Sleep Symptoms in Major Depressive Disorder: A Polygenic Risk Score Analysis |
| title_fullStr |
Potential Genetic Overlap Between Insomnia and Sleep Symptoms in Major Depressive Disorder: A Polygenic Risk Score Analysis |
| title_full_unstemmed |
Potential Genetic Overlap Between Insomnia and Sleep Symptoms in Major Depressive Disorder: A Polygenic Risk Score Analysis |
| title_sort |
potential genetic overlap between insomnia and sleep symptoms in major depressive disorder: a polygenic risk score analysis |
| publisher |
Frontiers Media S.A. |
| publishDate |
2021 |
| url |
https://doaj.org/article/834814f8679c42868c6a0ec8d2c434c8 |
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