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Genome-wide analysis in UK Biobank identifies four loci associated with mood instability and genetic correlation with major depressive disorder, anxiety disorder and schizophrenia
Mood instability is a core clinical feature of affective and psychotic disorders. In keeping with the Research Domain Criteria approach, it may be a useful construct for identifying biology that cuts across psychiatric categories. We aimed to investigate the biological validity of a simple measure o...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5802589/ https://www.ncbi.nlm.nih.gov/pubmed/29187730 http://dx.doi.org/10.1038/s41398-017-0012-7 |
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author | Ward, Joey Strawbridge, Rona J. Bailey, Mark E. S. Graham, Nicholas Ferguson, Amy Lyall, Donald M. Cullen, Breda Pidgeon, Laura M. Cavanagh, Jonathan Mackay, Daniel F. Pell, Jill P. O’Donovan, Michael Escott-Price, Valentina Smith, Daniel J. |
author_facet | Ward, Joey Strawbridge, Rona J. Bailey, Mark E. S. Graham, Nicholas Ferguson, Amy Lyall, Donald M. Cullen, Breda Pidgeon, Laura M. Cavanagh, Jonathan Mackay, Daniel F. Pell, Jill P. O’Donovan, Michael Escott-Price, Valentina Smith, Daniel J. |
author_sort | Ward, Joey |
collection | PubMed |
description | Mood instability is a core clinical feature of affective and psychotic disorders. In keeping with the Research Domain Criteria approach, it may be a useful construct for identifying biology that cuts across psychiatric categories. We aimed to investigate the biological validity of a simple measure of mood instability and evaluate its genetic relationship with several psychiatric disorders, including major depressive disorder (MDD), bipolar disorder (BD), schizophrenia, attention deficit hyperactivity disorder (ADHD), anxiety disorder and post-traumatic stress disorder (PTSD). We conducted a genome-wide association study (GWAS) of mood instability in 53,525 cases and 60,443 controls from UK Biobank, identifying four independently associated loci (on chromosomes 8, 9, 14 and 18), and a common single-nucleotide polymorphism (SNP)-based heritability estimate of ~8%. We found a strong genetic correlation between mood instability and MDD (r (g) = 0.60, SE = 0.07, p = 8.95 × 10(−17)) and a small but significant genetic correlation with both schizophrenia (r (g) = 0.11, SE = 0.04, p = 0.01) and anxiety disorders (r (g) = 0.28, SE = 0.14, p = 0.04), although no genetic correlation with BD, ADHD or PTSD was observed. Several genes at the associated loci may have a role in mood instability, including the DCC netrin 1 receptor (DCC) gene, eukaryotic translation initiation factor 2B subunit beta (eIF2B2), placental growth factor (PGF) and protein tyrosine phosphatase, receptor type D (PTPRD). Strengths of this study include the very large sample size, but our measure of mood instability may be limited by the use of a single question. Overall, this work suggests a polygenic basis for mood instability. This simple measure can be obtained in very large samples; our findings suggest that doing so may offer the opportunity to illuminate the fundamental biology of mood regulation. |
format | Online Article Text |
id | pubmed-5802589 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-58025892018-02-08 Genome-wide analysis in UK Biobank identifies four loci associated with mood instability and genetic correlation with major depressive disorder, anxiety disorder and schizophrenia Ward, Joey Strawbridge, Rona J. Bailey, Mark E. S. Graham, Nicholas Ferguson, Amy Lyall, Donald M. Cullen, Breda Pidgeon, Laura M. Cavanagh, Jonathan Mackay, Daniel F. Pell, Jill P. O’Donovan, Michael Escott-Price, Valentina Smith, Daniel J. Transl Psychiatry Article Mood instability is a core clinical feature of affective and psychotic disorders. In keeping with the Research Domain Criteria approach, it may be a useful construct for identifying biology that cuts across psychiatric categories. We aimed to investigate the biological validity of a simple measure of mood instability and evaluate its genetic relationship with several psychiatric disorders, including major depressive disorder (MDD), bipolar disorder (BD), schizophrenia, attention deficit hyperactivity disorder (ADHD), anxiety disorder and post-traumatic stress disorder (PTSD). We conducted a genome-wide association study (GWAS) of mood instability in 53,525 cases and 60,443 controls from UK Biobank, identifying four independently associated loci (on chromosomes 8, 9, 14 and 18), and a common single-nucleotide polymorphism (SNP)-based heritability estimate of ~8%. We found a strong genetic correlation between mood instability and MDD (r (g) = 0.60, SE = 0.07, p = 8.95 × 10(−17)) and a small but significant genetic correlation with both schizophrenia (r (g) = 0.11, SE = 0.04, p = 0.01) and anxiety disorders (r (g) = 0.28, SE = 0.14, p = 0.04), although no genetic correlation with BD, ADHD or PTSD was observed. Several genes at the associated loci may have a role in mood instability, including the DCC netrin 1 receptor (DCC) gene, eukaryotic translation initiation factor 2B subunit beta (eIF2B2), placental growth factor (PGF) and protein tyrosine phosphatase, receptor type D (PTPRD). Strengths of this study include the very large sample size, but our measure of mood instability may be limited by the use of a single question. Overall, this work suggests a polygenic basis for mood instability. This simple measure can be obtained in very large samples; our findings suggest that doing so may offer the opportunity to illuminate the fundamental biology of mood regulation. Nature Publishing Group UK 2017-11-30 /pmc/articles/PMC5802589/ /pubmed/29187730 http://dx.doi.org/10.1038/s41398-017-0012-7 Text en © The Author(s) 2017 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 Ward, Joey Strawbridge, Rona J. Bailey, Mark E. S. Graham, Nicholas Ferguson, Amy Lyall, Donald M. Cullen, Breda Pidgeon, Laura M. Cavanagh, Jonathan Mackay, Daniel F. Pell, Jill P. O’Donovan, Michael Escott-Price, Valentina Smith, Daniel J. Genome-wide analysis in UK Biobank identifies four loci associated with mood instability and genetic correlation with major depressive disorder, anxiety disorder and schizophrenia |
title | Genome-wide analysis in UK Biobank identifies four loci associated with mood instability and genetic correlation with major depressive disorder, anxiety disorder and schizophrenia |
title_full | Genome-wide analysis in UK Biobank identifies four loci associated with mood instability and genetic correlation with major depressive disorder, anxiety disorder and schizophrenia |
title_fullStr | Genome-wide analysis in UK Biobank identifies four loci associated with mood instability and genetic correlation with major depressive disorder, anxiety disorder and schizophrenia |
title_full_unstemmed | Genome-wide analysis in UK Biobank identifies four loci associated with mood instability and genetic correlation with major depressive disorder, anxiety disorder and schizophrenia |
title_short | Genome-wide analysis in UK Biobank identifies four loci associated with mood instability and genetic correlation with major depressive disorder, anxiety disorder and schizophrenia |
title_sort | genome-wide analysis in uk biobank identifies four loci associated with mood instability and genetic correlation with major depressive disorder, anxiety disorder and schizophrenia |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5802589/ https://www.ncbi.nlm.nih.gov/pubmed/29187730 http://dx.doi.org/10.1038/s41398-017-0012-7 |
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