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Sex differences in the genetic architecture of depression

The prevalence and clinical characteristics of depressive disorders differ between women and men; however, the genetic contribution to sex differences in depressive disorders has not been elucidated. To evaluate sex-specific differences in the genetic architecture of depression, whole exome sequenci...

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Autores principales: Kang, Hee-Ju, Park, Yoomi, Yoo, Kyung-Hun, Kim, Ki-Tae, Kim, Eun-Song, Kim, Ju-Wan, Kim, Sung-Wan, Shin, Il-Seon, Yoon, Jin-Sang, Kim, Ju Han, Kim, Jae-Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7303215/
https://www.ncbi.nlm.nih.gov/pubmed/32555505
http://dx.doi.org/10.1038/s41598-020-66672-9
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author Kang, Hee-Ju
Park, Yoomi
Yoo, Kyung-Hun
Kim, Ki-Tae
Kim, Eun-Song
Kim, Ju-Wan
Kim, Sung-Wan
Shin, Il-Seon
Yoon, Jin-Sang
Kim, Ju Han
Kim, Jae-Min
author_facet Kang, Hee-Ju
Park, Yoomi
Yoo, Kyung-Hun
Kim, Ki-Tae
Kim, Eun-Song
Kim, Ju-Wan
Kim, Sung-Wan
Shin, Il-Seon
Yoon, Jin-Sang
Kim, Ju Han
Kim, Jae-Min
author_sort Kang, Hee-Ju
collection PubMed
description The prevalence and clinical characteristics of depressive disorders differ between women and men; however, the genetic contribution to sex differences in depressive disorders has not been elucidated. To evaluate sex-specific differences in the genetic architecture of depression, whole exome sequencing of samples from 1000 patients (70.7% female) with depressive disorder was conducted. Control data from healthy individuals with no psychiatric disorder (n = 72, 26.4% female) and East-Asian subpopulation 1000 Genome Project data (n = 207, 50.7% female) were included. The genetic variation between men and women was directly compared using both qualitative and quantitative research designs. Qualitative analysis identified five genetic markers potentially associated with increased risk of depressive disorder in females, including three variants (rs201432982 within PDE4A, and rs62640397 and rs79442975 within FDX1L) mapping to chromosome 19p13.2 and two novel variants (rs820182 and rs820148) within MYO15B at the chromosome 17p25.1 locus. Depressed patients homozygous for these variants showed more severe depressive symptoms and higher suicidality than those who were not homozygotes (i.e., heterozygotes and homozygotes for the non-associated allele). Quantitative analysis demonstrated that the genetic burden of protein-truncating and deleterious variants was higher in males than females, even after permutation testing. Our study provides novel genetic evidence that the higher prevalence of depressive disorders in women may be attributable to inherited variants.
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spelling pubmed-73032152020-06-22 Sex differences in the genetic architecture of depression Kang, Hee-Ju Park, Yoomi Yoo, Kyung-Hun Kim, Ki-Tae Kim, Eun-Song Kim, Ju-Wan Kim, Sung-Wan Shin, Il-Seon Yoon, Jin-Sang Kim, Ju Han Kim, Jae-Min Sci Rep Article The prevalence and clinical characteristics of depressive disorders differ between women and men; however, the genetic contribution to sex differences in depressive disorders has not been elucidated. To evaluate sex-specific differences in the genetic architecture of depression, whole exome sequencing of samples from 1000 patients (70.7% female) with depressive disorder was conducted. Control data from healthy individuals with no psychiatric disorder (n = 72, 26.4% female) and East-Asian subpopulation 1000 Genome Project data (n = 207, 50.7% female) were included. The genetic variation between men and women was directly compared using both qualitative and quantitative research designs. Qualitative analysis identified five genetic markers potentially associated with increased risk of depressive disorder in females, including three variants (rs201432982 within PDE4A, and rs62640397 and rs79442975 within FDX1L) mapping to chromosome 19p13.2 and two novel variants (rs820182 and rs820148) within MYO15B at the chromosome 17p25.1 locus. Depressed patients homozygous for these variants showed more severe depressive symptoms and higher suicidality than those who were not homozygotes (i.e., heterozygotes and homozygotes for the non-associated allele). Quantitative analysis demonstrated that the genetic burden of protein-truncating and deleterious variants was higher in males than females, even after permutation testing. Our study provides novel genetic evidence that the higher prevalence of depressive disorders in women may be attributable to inherited variants. Nature Publishing Group UK 2020-06-18 /pmc/articles/PMC7303215/ /pubmed/32555505 http://dx.doi.org/10.1038/s41598-020-66672-9 Text en © The Author(s) 2020 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
Kang, Hee-Ju
Park, Yoomi
Yoo, Kyung-Hun
Kim, Ki-Tae
Kim, Eun-Song
Kim, Ju-Wan
Kim, Sung-Wan
Shin, Il-Seon
Yoon, Jin-Sang
Kim, Ju Han
Kim, Jae-Min
Sex differences in the genetic architecture of depression
title Sex differences in the genetic architecture of depression
title_full Sex differences in the genetic architecture of depression
title_fullStr Sex differences in the genetic architecture of depression
title_full_unstemmed Sex differences in the genetic architecture of depression
title_short Sex differences in the genetic architecture of depression
title_sort sex differences in the genetic architecture of depression
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7303215/
https://www.ncbi.nlm.nih.gov/pubmed/32555505
http://dx.doi.org/10.1038/s41598-020-66672-9
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