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Mendelian randomization studies of depression: evidence, opportunities, and challenges
BACKGROUND: Major depressive disorder (MDD) poses a significant social and economic burden worldwide. Identifying exposures, risk factors, and biological mechanisms that are causally connected to MDD can help build a scientific basis for disease prevention and development of novel therapeutic approa...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10666459/ https://www.ncbi.nlm.nih.gov/pubmed/37996851 http://dx.doi.org/10.1186/s12991-023-00479-6 |
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author | Ma, Wang-ran Zhang, Lei-lei Ma, Jing-ying Yu, Fang Hou, Ya-qing Feng, Xiang-rui Yang, Lin |
author_facet | Ma, Wang-ran Zhang, Lei-lei Ma, Jing-ying Yu, Fang Hou, Ya-qing Feng, Xiang-rui Yang, Lin |
author_sort | Ma, Wang-ran |
collection | PubMed |
description | BACKGROUND: Major depressive disorder (MDD) poses a significant social and economic burden worldwide. Identifying exposures, risk factors, and biological mechanisms that are causally connected to MDD can help build a scientific basis for disease prevention and development of novel therapeutic approaches. METHODS: In this systematic review, we assessed the evidence for causal relationships between putative causal risk factors and MDD from Mendelian randomization (MR) studies, following PRISMA. We assessed methodological quality based on key elements of the MR design: use of a full instrumental variable analysis and validation of the three key MR assumptions. RESULTS: We included methodological details and results from 52 articles. A causal link between lifestyle, metabolic, inflammatory biomarkers, particular pathological states and MDD is supported by MR investigations, although results for each category varied substantially. CONCLUSIONS: While this review shows how MR can offer useful information for examining prospective treatment targets and better understanding the pathophysiology of MDD, some methodological flaws in the existing literature limit reliability of results and probably underlie their heterogeneity. We highlight perspectives and recommendations for future works on MR in psychiatry. |
format | Online Article Text |
id | pubmed-10666459 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-106664592023-11-23 Mendelian randomization studies of depression: evidence, opportunities, and challenges Ma, Wang-ran Zhang, Lei-lei Ma, Jing-ying Yu, Fang Hou, Ya-qing Feng, Xiang-rui Yang, Lin Ann Gen Psychiatry Review BACKGROUND: Major depressive disorder (MDD) poses a significant social and economic burden worldwide. Identifying exposures, risk factors, and biological mechanisms that are causally connected to MDD can help build a scientific basis for disease prevention and development of novel therapeutic approaches. METHODS: In this systematic review, we assessed the evidence for causal relationships between putative causal risk factors and MDD from Mendelian randomization (MR) studies, following PRISMA. We assessed methodological quality based on key elements of the MR design: use of a full instrumental variable analysis and validation of the three key MR assumptions. RESULTS: We included methodological details and results from 52 articles. A causal link between lifestyle, metabolic, inflammatory biomarkers, particular pathological states and MDD is supported by MR investigations, although results for each category varied substantially. CONCLUSIONS: While this review shows how MR can offer useful information for examining prospective treatment targets and better understanding the pathophysiology of MDD, some methodological flaws in the existing literature limit reliability of results and probably underlie their heterogeneity. We highlight perspectives and recommendations for future works on MR in psychiatry. BioMed Central 2023-11-23 /pmc/articles/PMC10666459/ /pubmed/37996851 http://dx.doi.org/10.1186/s12991-023-00479-6 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Review Ma, Wang-ran Zhang, Lei-lei Ma, Jing-ying Yu, Fang Hou, Ya-qing Feng, Xiang-rui Yang, Lin Mendelian randomization studies of depression: evidence, opportunities, and challenges |
title | Mendelian randomization studies of depression: evidence, opportunities, and challenges |
title_full | Mendelian randomization studies of depression: evidence, opportunities, and challenges |
title_fullStr | Mendelian randomization studies of depression: evidence, opportunities, and challenges |
title_full_unstemmed | Mendelian randomization studies of depression: evidence, opportunities, and challenges |
title_short | Mendelian randomization studies of depression: evidence, opportunities, and challenges |
title_sort | mendelian randomization studies of depression: evidence, opportunities, and challenges |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10666459/ https://www.ncbi.nlm.nih.gov/pubmed/37996851 http://dx.doi.org/10.1186/s12991-023-00479-6 |
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