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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.
Afiliação
  • Kang HJ; Departments of Psychiatry, Chonnam National University Medical School, Gwangju, Korea.
  • Park Y; Seoul National University Biomedical Informatics (SNUBI), Division of Biomedical Informatics, Seoul National University College of Medicine, Seoul, Korea.
  • Yoo KH; Seoul National University Biomedical Informatics (SNUBI), Division of Biomedical Informatics, Seoul National University College of Medicine, Seoul, Korea.
  • Kim KT; Seoul National University Biomedical Informatics (SNUBI), Division of Biomedical Informatics, Seoul National University College of Medicine, Seoul, Korea.
  • Kim ES; Departments of Psychiatry, Chonnam National University Medical School, Gwangju, Korea.
  • Kim JW; Departments of Psychiatry, Chonnam National University Medical School, Gwangju, Korea.
  • Kim SW; Departments of Psychiatry, Chonnam National University Medical School, Gwangju, Korea.
  • Shin IS; Departments of Psychiatry, Chonnam National University Medical School, Gwangju, Korea.
  • Yoon JS; Departments of Psychiatry, Chonnam National University Medical School, Gwangju, Korea.
  • Kim JH; Seoul National University Biomedical Informatics (SNUBI), Division of Biomedical Informatics, Seoul National University College of Medicine, Seoul, Korea. juhan@snu.ac.kr.
  • Kim JM; Departments of Psychiatry, Chonnam National University Medical School, Gwangju, Korea. jmkim@chonnam.ac.kr.
Sci Rep ; 10(1): 9927, 2020 06 18.
Article em En | MEDLINE | ID: mdl-32555505
ABSTRACT
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.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Marcadores Genéticos / Caracteres Sexuais / Predisposição Genética para Doença / Polimorfismo de Nucleotídeo Único / Transtorno Depressivo / Sequenciamento do Exoma Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Marcadores Genéticos / Caracteres Sexuais / Predisposição Genética para Doença / Polimorfismo de Nucleotídeo Único / Transtorno Depressivo / Sequenciamento do Exoma Idioma: En Ano de publicação: 2020 Tipo de documento: Article