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Associating broad and clinically defined polygenic scores for depression with depression-related phenotypes
Twin studies indicate that 30–40% of the disease liability for depression can be attributed to genetic differences. Here, we assess the explanatory ability of polygenic scores (PGS) based on broad- (PGS(BD)) and clinical- (PGS(MDD)) depression summary statistics from the UK Biobank in an independent...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10121555/ https://www.ncbi.nlm.nih.gov/pubmed/37085695 http://dx.doi.org/10.1038/s41598-023-33645-7 |
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author | McGeary, John E. Benca-Bachman, Chelsie E. Risner, Victoria A. Beevers, Christopher G. Gibb, Brandon E. Palmer, Rohan H. C. |
author_facet | McGeary, John E. Benca-Bachman, Chelsie E. Risner, Victoria A. Beevers, Christopher G. Gibb, Brandon E. Palmer, Rohan H. C. |
author_sort | McGeary, John E. |
collection | PubMed |
description | Twin studies indicate that 30–40% of the disease liability for depression can be attributed to genetic differences. Here, we assess the explanatory ability of polygenic scores (PGS) based on broad- (PGS(BD)) and clinical- (PGS(MDD)) depression summary statistics from the UK Biobank in an independent sample of adults (N = 210; 100% European Ancestry) who were extensively phenotyped for depression and related neurocognitive traits (e.g., rumination, emotion regulation, anhedonia, and resting frontal alpha asymmetry). The UK Biobank-derived PGS(BD) had small associations with MDD, depression severity, anhedonia, cognitive reappraisal, brooding, and suicidal ideation but only the association with suicidal ideation remained statistically significant after correcting for multiple comparisons. Similarly small associations were observed for the PGS(MDD) but none remained significant after correcting for multiple comparisons. These findings provide important initial guidance about the expected effect sizes between current UKB PGSs for depression and depression-related neurocognitive phenotypes. |
format | Online Article Text |
id | pubmed-10121555 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-101215552023-04-23 Associating broad and clinically defined polygenic scores for depression with depression-related phenotypes McGeary, John E. Benca-Bachman, Chelsie E. Risner, Victoria A. Beevers, Christopher G. Gibb, Brandon E. Palmer, Rohan H. C. Sci Rep Article Twin studies indicate that 30–40% of the disease liability for depression can be attributed to genetic differences. Here, we assess the explanatory ability of polygenic scores (PGS) based on broad- (PGS(BD)) and clinical- (PGS(MDD)) depression summary statistics from the UK Biobank in an independent sample of adults (N = 210; 100% European Ancestry) who were extensively phenotyped for depression and related neurocognitive traits (e.g., rumination, emotion regulation, anhedonia, and resting frontal alpha asymmetry). The UK Biobank-derived PGS(BD) had small associations with MDD, depression severity, anhedonia, cognitive reappraisal, brooding, and suicidal ideation but only the association with suicidal ideation remained statistically significant after correcting for multiple comparisons. Similarly small associations were observed for the PGS(MDD) but none remained significant after correcting for multiple comparisons. These findings provide important initial guidance about the expected effect sizes between current UKB PGSs for depression and depression-related neurocognitive phenotypes. Nature Publishing Group UK 2023-04-21 /pmc/articles/PMC10121555/ /pubmed/37085695 http://dx.doi.org/10.1038/s41598-023-33645-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article McGeary, John E. Benca-Bachman, Chelsie E. Risner, Victoria A. Beevers, Christopher G. Gibb, Brandon E. Palmer, Rohan H. C. Associating broad and clinically defined polygenic scores for depression with depression-related phenotypes |
title | Associating broad and clinically defined polygenic scores for depression with depression-related phenotypes |
title_full | Associating broad and clinically defined polygenic scores for depression with depression-related phenotypes |
title_fullStr | Associating broad and clinically defined polygenic scores for depression with depression-related phenotypes |
title_full_unstemmed | Associating broad and clinically defined polygenic scores for depression with depression-related phenotypes |
title_short | Associating broad and clinically defined polygenic scores for depression with depression-related phenotypes |
title_sort | associating broad and clinically defined polygenic scores for depression with depression-related phenotypes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10121555/ https://www.ncbi.nlm.nih.gov/pubmed/37085695 http://dx.doi.org/10.1038/s41598-023-33645-7 |
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