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Understanding genetic risk factors for common side effects of antidepressant medications
BACKGROUND: Major depression is one of the most disabling health conditions internationally. In recent years, new generation antidepressant medicines have become very widely prescribed. While these medicines are efficacious, side effects are common and frequently result in discontinuation of treatme...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9053224/ https://www.ncbi.nlm.nih.gov/pubmed/35602235 http://dx.doi.org/10.1038/s43856-021-00046-8 |
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author | Campos, Adrian I. Mulcahy, Aoibhe Thorp, Jackson G. Wray, Naomi R. Byrne, Enda M. Lind, Penelope A. Medland, Sarah E. Martin, Nicholas G. Hickie, Ian B. Rentería, Miguel E. |
author_facet | Campos, Adrian I. Mulcahy, Aoibhe Thorp, Jackson G. Wray, Naomi R. Byrne, Enda M. Lind, Penelope A. Medland, Sarah E. Martin, Nicholas G. Hickie, Ian B. Rentería, Miguel E. |
author_sort | Campos, Adrian I. |
collection | PubMed |
description | BACKGROUND: Major depression is one of the most disabling health conditions internationally. In recent years, new generation antidepressant medicines have become very widely prescribed. While these medicines are efficacious, side effects are common and frequently result in discontinuation of treatment. Compared with specific pharmacological properties of the different medications, the relevance of individual vulnerability is understudied. METHODS: We used data from the Australian Genetics of Depression Study to gain insights into the aetiology and genetic risk factors to antidepressant side effects. To this end, we employed structural equation modelling, polygenic risk scoring and regressions. RESULTS: Here we show that participants reporting a specific side effect for one antidepressant are more likely to report the same side effect for other antidepressants, suggesting the presence of shared individual or pharmacological factors. Polygenic risk scores (PRS) for depression associated with side effects that overlapped with depressive symptoms, including suicidality and anxiety. Body Mass Index PRS are strongly associated with weight gain from all medications. PRS for headaches are associated with headaches from sertraline. Insomnia PRS show some evidence of predicting insomnia from amitriptyline and escitalopram. CONCLUSIONS: Our results suggest a set of common factors underlying the risk for antidepressant side effects. These factors seem to be partly explained by genetic liability related to depression severity and the nature of the side effect. Future studies on the genetic aetiology of side effects will enable insights into their underlying mechanisms and the possibility of risk stratification and prophylaxis strategies. |
format | Online Article Text |
id | pubmed-9053224 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-90532242022-05-20 Understanding genetic risk factors for common side effects of antidepressant medications Campos, Adrian I. Mulcahy, Aoibhe Thorp, Jackson G. Wray, Naomi R. Byrne, Enda M. Lind, Penelope A. Medland, Sarah E. Martin, Nicholas G. Hickie, Ian B. Rentería, Miguel E. Commun Med (Lond) Article BACKGROUND: Major depression is one of the most disabling health conditions internationally. In recent years, new generation antidepressant medicines have become very widely prescribed. While these medicines are efficacious, side effects are common and frequently result in discontinuation of treatment. Compared with specific pharmacological properties of the different medications, the relevance of individual vulnerability is understudied. METHODS: We used data from the Australian Genetics of Depression Study to gain insights into the aetiology and genetic risk factors to antidepressant side effects. To this end, we employed structural equation modelling, polygenic risk scoring and regressions. RESULTS: Here we show that participants reporting a specific side effect for one antidepressant are more likely to report the same side effect for other antidepressants, suggesting the presence of shared individual or pharmacological factors. Polygenic risk scores (PRS) for depression associated with side effects that overlapped with depressive symptoms, including suicidality and anxiety. Body Mass Index PRS are strongly associated with weight gain from all medications. PRS for headaches are associated with headaches from sertraline. Insomnia PRS show some evidence of predicting insomnia from amitriptyline and escitalopram. CONCLUSIONS: Our results suggest a set of common factors underlying the risk for antidepressant side effects. These factors seem to be partly explained by genetic liability related to depression severity and the nature of the side effect. Future studies on the genetic aetiology of side effects will enable insights into their underlying mechanisms and the possibility of risk stratification and prophylaxis strategies. Nature Publishing Group UK 2021-11-09 /pmc/articles/PMC9053224/ /pubmed/35602235 http://dx.doi.org/10.1038/s43856-021-00046-8 Text en © The Author(s) 2021 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 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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Campos, Adrian I. Mulcahy, Aoibhe Thorp, Jackson G. Wray, Naomi R. Byrne, Enda M. Lind, Penelope A. Medland, Sarah E. Martin, Nicholas G. Hickie, Ian B. Rentería, Miguel E. Understanding genetic risk factors for common side effects of antidepressant medications |
title | Understanding genetic risk factors for common side effects of antidepressant medications |
title_full | Understanding genetic risk factors for common side effects of antidepressant medications |
title_fullStr | Understanding genetic risk factors for common side effects of antidepressant medications |
title_full_unstemmed | Understanding genetic risk factors for common side effects of antidepressant medications |
title_short | Understanding genetic risk factors for common side effects of antidepressant medications |
title_sort | understanding genetic risk factors for common side effects of antidepressant medications |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9053224/ https://www.ncbi.nlm.nih.gov/pubmed/35602235 http://dx.doi.org/10.1038/s43856-021-00046-8 |
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