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Novel genome-wide associations for anhedonia, genetic correlation with psychiatric disorders, and polygenic association with brain structure
Anhedonia is a core symptom of several psychiatric disorders but its biological underpinnings are poorly understood. We performed a genome-wide association study of state anhedonia in 375,275 UK Biobank participants and assessed for genetic correlation between anhedonia and neuropsychiatric conditio...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6892870/ https://www.ncbi.nlm.nih.gov/pubmed/31797917 http://dx.doi.org/10.1038/s41398-019-0635-y |
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author | Ward, Joey Lyall, Laura M. Bethlehem, Richard A. I. Ferguson, Amy Strawbridge, Rona J. Lyall, Donald M. Cullen, Breda Graham, Nicholas Johnston, Keira J. A. Bailey, Mark E. S. Murray, Graham K. Smith, Daniel J. |
author_facet | Ward, Joey Lyall, Laura M. Bethlehem, Richard A. I. Ferguson, Amy Strawbridge, Rona J. Lyall, Donald M. Cullen, Breda Graham, Nicholas Johnston, Keira J. A. Bailey, Mark E. S. Murray, Graham K. Smith, Daniel J. |
author_sort | Ward, Joey |
collection | PubMed |
description | Anhedonia is a core symptom of several psychiatric disorders but its biological underpinnings are poorly understood. We performed a genome-wide association study of state anhedonia in 375,275 UK Biobank participants and assessed for genetic correlation between anhedonia and neuropsychiatric conditions (major depressive disorder, schizophrenia, bipolar disorder, obsessive compulsive disorder and Parkinson’s Disease). We then used a polygenic risk score approach to test for association between genetic loading for anhedonia and both brain structure and brain function. This included: magnetic resonance imaging (MRI) assessments of total grey matter volume, white matter volume, cerebrospinal fluid volume, and 15 cortical/subcortical regions of interest; diffusion tensor imaging (DTI) measures of white matter tract integrity; and functional MRI activity during an emotion processing task. We identified 11 novel loci associated at genome-wide significance with anhedonia, with a SNP heritability estimate (h(2)SNP) of 5.6%. Strong positive genetic correlations were found between anhedonia and major depressive disorder, schizophrenia and bipolar disorder; but not with obsessive compulsive disorder or Parkinson’s Disease. Polygenic risk for anhedonia was associated with poorer brain white matter integrity, smaller total grey matter volume, and smaller volumes of brain regions linked to reward and pleasure processing, including orbito-frontal cortex. In summary, the identification of novel anhedonia-associated loci substantially expands our current understanding of the biological basis of state anhedonia and genetic correlations with several psychiatric disorders confirm the utility of this phenotype as a transdiagnostic marker of vulnerability to mental illness. We also provide the first evidence that genetic risk for state anhedonia influences brain structure, including in regions associated with reward and pleasure processing. |
format | Online Article Text |
id | pubmed-6892870 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-68928702019-12-06 Novel genome-wide associations for anhedonia, genetic correlation with psychiatric disorders, and polygenic association with brain structure Ward, Joey Lyall, Laura M. Bethlehem, Richard A. I. Ferguson, Amy Strawbridge, Rona J. Lyall, Donald M. Cullen, Breda Graham, Nicholas Johnston, Keira J. A. Bailey, Mark E. S. Murray, Graham K. Smith, Daniel J. Transl Psychiatry Article Anhedonia is a core symptom of several psychiatric disorders but its biological underpinnings are poorly understood. We performed a genome-wide association study of state anhedonia in 375,275 UK Biobank participants and assessed for genetic correlation between anhedonia and neuropsychiatric conditions (major depressive disorder, schizophrenia, bipolar disorder, obsessive compulsive disorder and Parkinson’s Disease). We then used a polygenic risk score approach to test for association between genetic loading for anhedonia and both brain structure and brain function. This included: magnetic resonance imaging (MRI) assessments of total grey matter volume, white matter volume, cerebrospinal fluid volume, and 15 cortical/subcortical regions of interest; diffusion tensor imaging (DTI) measures of white matter tract integrity; and functional MRI activity during an emotion processing task. We identified 11 novel loci associated at genome-wide significance with anhedonia, with a SNP heritability estimate (h(2)SNP) of 5.6%. Strong positive genetic correlations were found between anhedonia and major depressive disorder, schizophrenia and bipolar disorder; but not with obsessive compulsive disorder or Parkinson’s Disease. Polygenic risk for anhedonia was associated with poorer brain white matter integrity, smaller total grey matter volume, and smaller volumes of brain regions linked to reward and pleasure processing, including orbito-frontal cortex. In summary, the identification of novel anhedonia-associated loci substantially expands our current understanding of the biological basis of state anhedonia and genetic correlations with several psychiatric disorders confirm the utility of this phenotype as a transdiagnostic marker of vulnerability to mental illness. We also provide the first evidence that genetic risk for state anhedonia influences brain structure, including in regions associated with reward and pleasure processing. Nature Publishing Group UK 2019-12-04 /pmc/articles/PMC6892870/ /pubmed/31797917 http://dx.doi.org/10.1038/s41398-019-0635-y Text en © The Author(s) 2019 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 Lyall, Laura M. Bethlehem, Richard A. I. Ferguson, Amy Strawbridge, Rona J. Lyall, Donald M. Cullen, Breda Graham, Nicholas Johnston, Keira J. A. Bailey, Mark E. S. Murray, Graham K. Smith, Daniel J. Novel genome-wide associations for anhedonia, genetic correlation with psychiatric disorders, and polygenic association with brain structure |
title | Novel genome-wide associations for anhedonia, genetic correlation with psychiatric disorders, and polygenic association with brain structure |
title_full | Novel genome-wide associations for anhedonia, genetic correlation with psychiatric disorders, and polygenic association with brain structure |
title_fullStr | Novel genome-wide associations for anhedonia, genetic correlation with psychiatric disorders, and polygenic association with brain structure |
title_full_unstemmed | Novel genome-wide associations for anhedonia, genetic correlation with psychiatric disorders, and polygenic association with brain structure |
title_short | Novel genome-wide associations for anhedonia, genetic correlation with psychiatric disorders, and polygenic association with brain structure |
title_sort | novel genome-wide associations for anhedonia, genetic correlation with psychiatric disorders, and polygenic association with brain structure |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6892870/ https://www.ncbi.nlm.nih.gov/pubmed/31797917 http://dx.doi.org/10.1038/s41398-019-0635-y |
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