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Investigating the association between body fat and depression via Mendelian randomization
Obesity and depression are major public health concerns that are both associated with substantial morbidity and mortality. There is a considerable body of literature linking obesity to the development of depression. Recent studies using Mendelian randomization indicate that this relationship is caus...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6683191/ https://www.ncbi.nlm.nih.gov/pubmed/31383844 http://dx.doi.org/10.1038/s41398-019-0516-4 |
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author | Speed, Maria S. Jefsen, Oskar H. Børglum, Anders D. Speed, Doug Østergaard, Søren D. |
author_facet | Speed, Maria S. Jefsen, Oskar H. Børglum, Anders D. Speed, Doug Østergaard, Søren D. |
author_sort | Speed, Maria S. |
collection | PubMed |
description | Obesity and depression are major public health concerns that are both associated with substantial morbidity and mortality. There is a considerable body of literature linking obesity to the development of depression. Recent studies using Mendelian randomization indicate that this relationship is causal. Most studies of the obesity–depression association have used body mass index as a measure of obesity. Body mass index is defined as weight (measured in kilograms) divided by the square of height (meters) and therefore does not distinguish between the contributions of fat and nonfat to body weight. To better understand the obesity–depression association, we conduct a Mendelian randomization study of the relationship between fat mass, nonfat mass, height, and depression, using genome-wide association study results from the UK Biobank (n = 332,000) and the Psychiatric Genomics Consortium (n = 480,000). Our findings suggest that both fat mass and height (short stature) are causal risk factors for depression, while nonfat mass is not. These results represent important new knowledge on the role of anthropometric measures in the etiology of depression. They also suggest that reducing fat mass will decrease the risk of depression, which lends further support to public health measures aimed at reducing the obesity epidemic. |
format | Online Article Text |
id | pubmed-6683191 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-66831912019-08-08 Investigating the association between body fat and depression via Mendelian randomization Speed, Maria S. Jefsen, Oskar H. Børglum, Anders D. Speed, Doug Østergaard, Søren D. Transl Psychiatry Article Obesity and depression are major public health concerns that are both associated with substantial morbidity and mortality. There is a considerable body of literature linking obesity to the development of depression. Recent studies using Mendelian randomization indicate that this relationship is causal. Most studies of the obesity–depression association have used body mass index as a measure of obesity. Body mass index is defined as weight (measured in kilograms) divided by the square of height (meters) and therefore does not distinguish between the contributions of fat and nonfat to body weight. To better understand the obesity–depression association, we conduct a Mendelian randomization study of the relationship between fat mass, nonfat mass, height, and depression, using genome-wide association study results from the UK Biobank (n = 332,000) and the Psychiatric Genomics Consortium (n = 480,000). Our findings suggest that both fat mass and height (short stature) are causal risk factors for depression, while nonfat mass is not. These results represent important new knowledge on the role of anthropometric measures in the etiology of depression. They also suggest that reducing fat mass will decrease the risk of depression, which lends further support to public health measures aimed at reducing the obesity epidemic. Nature Publishing Group UK 2019-08-05 /pmc/articles/PMC6683191/ /pubmed/31383844 http://dx.doi.org/10.1038/s41398-019-0516-4 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 Speed, Maria S. Jefsen, Oskar H. Børglum, Anders D. Speed, Doug Østergaard, Søren D. Investigating the association between body fat and depression via Mendelian randomization |
title | Investigating the association between body fat and depression via Mendelian randomization |
title_full | Investigating the association between body fat and depression via Mendelian randomization |
title_fullStr | Investigating the association between body fat and depression via Mendelian randomization |
title_full_unstemmed | Investigating the association between body fat and depression via Mendelian randomization |
title_short | Investigating the association between body fat and depression via Mendelian randomization |
title_sort | investigating the association between body fat and depression via mendelian randomization |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6683191/ https://www.ncbi.nlm.nih.gov/pubmed/31383844 http://dx.doi.org/10.1038/s41398-019-0516-4 |
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