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Genetic stratification of depression in UK Biobank
Depression is a common and clinically heterogeneous mental health disorder that is frequently comorbid with other diseases and conditions. Stratification of depression may align sub-diagnoses more closely with their underling aetiology and provide more tractable targets for research and effective tr...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7246256/ https://www.ncbi.nlm.nih.gov/pubmed/32448866 http://dx.doi.org/10.1038/s41398-020-0848-0 |
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author | Howard, David M. Folkersen, Lasse Coleman, Jonathan R. I. Adams, Mark J. Glanville, Kylie Werge, Thomas Hagenaars, Saskia P. Han, Buhm Porteous, David Campbell, Archie Clarke, Toni-Kim Breen, Gerome Sullivan, Patrick F. Wray, Naomi R. Lewis, Cathryn M. McIntosh, Andrew M. |
author_facet | Howard, David M. Folkersen, Lasse Coleman, Jonathan R. I. Adams, Mark J. Glanville, Kylie Werge, Thomas Hagenaars, Saskia P. Han, Buhm Porteous, David Campbell, Archie Clarke, Toni-Kim Breen, Gerome Sullivan, Patrick F. Wray, Naomi R. Lewis, Cathryn M. McIntosh, Andrew M. |
author_sort | Howard, David M. |
collection | PubMed |
description | Depression is a common and clinically heterogeneous mental health disorder that is frequently comorbid with other diseases and conditions. Stratification of depression may align sub-diagnoses more closely with their underling aetiology and provide more tractable targets for research and effective treatment. In the current study, we investigated whether genetic data could be used to identify subgroups within people with depression using the UK Biobank. Examination of cross-locus correlations were used to test for evidence of subgroups using genetic data from seven other complex traits and disorders that were genetically correlated with depression and had sufficient power (>0.6) for detection. We found no evidence for subgroups within depression for schizophrenia, bipolar disorder, attention deficit/hyperactivity disorder, autism spectrum disorder, anorexia nervosa, inflammatory bowel disease or obesity. This suggests that for these traits, genetic correlations with depression were driven by pleiotropic genetic variants carried by everyone rather than by a specific subgroup. |
format | Online Article Text |
id | pubmed-7246256 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-72462562020-06-04 Genetic stratification of depression in UK Biobank Howard, David M. Folkersen, Lasse Coleman, Jonathan R. I. Adams, Mark J. Glanville, Kylie Werge, Thomas Hagenaars, Saskia P. Han, Buhm Porteous, David Campbell, Archie Clarke, Toni-Kim Breen, Gerome Sullivan, Patrick F. Wray, Naomi R. Lewis, Cathryn M. McIntosh, Andrew M. Transl Psychiatry Article Depression is a common and clinically heterogeneous mental health disorder that is frequently comorbid with other diseases and conditions. Stratification of depression may align sub-diagnoses more closely with their underling aetiology and provide more tractable targets for research and effective treatment. In the current study, we investigated whether genetic data could be used to identify subgroups within people with depression using the UK Biobank. Examination of cross-locus correlations were used to test for evidence of subgroups using genetic data from seven other complex traits and disorders that were genetically correlated with depression and had sufficient power (>0.6) for detection. We found no evidence for subgroups within depression for schizophrenia, bipolar disorder, attention deficit/hyperactivity disorder, autism spectrum disorder, anorexia nervosa, inflammatory bowel disease or obesity. This suggests that for these traits, genetic correlations with depression were driven by pleiotropic genetic variants carried by everyone rather than by a specific subgroup. Nature Publishing Group UK 2020-05-24 /pmc/articles/PMC7246256/ /pubmed/32448866 http://dx.doi.org/10.1038/s41398-020-0848-0 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Howard, David M. Folkersen, Lasse Coleman, Jonathan R. I. Adams, Mark J. Glanville, Kylie Werge, Thomas Hagenaars, Saskia P. Han, Buhm Porteous, David Campbell, Archie Clarke, Toni-Kim Breen, Gerome Sullivan, Patrick F. Wray, Naomi R. Lewis, Cathryn M. McIntosh, Andrew M. Genetic stratification of depression in UK Biobank |
title | Genetic stratification of depression in UK Biobank |
title_full | Genetic stratification of depression in UK Biobank |
title_fullStr | Genetic stratification of depression in UK Biobank |
title_full_unstemmed | Genetic stratification of depression in UK Biobank |
title_short | Genetic stratification of depression in UK Biobank |
title_sort | genetic stratification of depression in uk biobank |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7246256/ https://www.ncbi.nlm.nih.gov/pubmed/32448866 http://dx.doi.org/10.1038/s41398-020-0848-0 |
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