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Association Between Polymorphisms in Estrogen Receptor Genes and Depression in Women: A Meta-Analysis

Objective: It is suggested that estrogen receptors (ERs) might be associated with the disproportionate vulnerability of women to depressive episodes. Several variants in ER-alpha (ERα) and ER-beta (ERβ) have been linked to depression, but the results were not consistent. Hence, we conducted a meta-a...

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Autores principales: Li, Cuifen, Xie, Manli, Wang, Weiwei, Liu, Yanyan, Liao, Dan, Yin, Jingwen, Huang, Hao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9343944/
https://www.ncbi.nlm.nih.gov/pubmed/35928452
http://dx.doi.org/10.3389/fgene.2022.936296
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author Li, Cuifen
Xie, Manli
Wang, Weiwei
Liu, Yanyan
Liao, Dan
Yin, Jingwen
Huang, Hao
author_facet Li, Cuifen
Xie, Manli
Wang, Weiwei
Liu, Yanyan
Liao, Dan
Yin, Jingwen
Huang, Hao
author_sort Li, Cuifen
collection PubMed
description Objective: It is suggested that estrogen receptors (ERs) might be associated with the disproportionate vulnerability of women to depressive episodes. Several variants in ER-alpha (ERα) and ER-beta (ERβ) have been linked to depression, but the results were not consistent. Hence, we conducted a meta-analysis to evaluate the association between ERα/ERβ and depression in a cohort of women. Methods: A comprehensive literature search was performed in public databases. The genetic association between polymorphisms in Erα/ERβ and depression risk in a cohort of women was evaluated by odds ratios (ORs) and 95% confidence intervals (CIs). Cochran’s Q test and the I(2) index were used to evaluate heterogeneity. Results: In total, 10 studies and 4 SNPs (rs2234693, rs9340799, rs4986938, rs1256049) were included in our meta-analysis. rs2234693 genotype was significantly associated with the risk of depression in women by dominant model (CC + CT vs TT, OR = 1.30, 95% CI: 1.09–1.55, p = 0.0031), recessive model (CC vs CT + TT, OR = 1.64, 95% CI: 1.00–2.67, p = 0.0478), additive model (CC vs TT, OR = 1.93, 95% CI: 1.12–3.35, p = 0.0189) and allelic model (C vs T, OR = 1.24, 95% CI: 1.10–1.39, p = 0.0003). For rs9340799, the frequencies of risk genotypes according to the dominant (GG + GA vs AA, OR = 1.47, 95% CI = 1.10–1.98, p = 0.0096, I(2) = 0%, p = 0.43) and allelic (G vs A, OR = 1.33, 95% CI: 1.04–1.69, p = 0.0236, I(2) = 0%, p = 0.39) models were significantly lower in women with depression than in controls within the Asian subgroup. For rs1256049, risk genotypes were significantly more frequent in depressed subjects than in controls under the dominant model (AA+ GA vs GG, OR = 1.62, 95% CI: 1.19–2.21, p = 0.0024) and the allelic model (A vs G, OR = 1.35, 95% CI: 1.07–1.72, p = 0.012) after sensitivity analysis by omitting one study which induce the heterogeneity. Conclusions: The current meta-analysis is the first and most comprehensive investigation of the association between ERs and depression in women, and the findings support the concept that ERs participate in the etiology of sex heterogeneity in depression.
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spelling pubmed-93439442022-08-03 Association Between Polymorphisms in Estrogen Receptor Genes and Depression in Women: A Meta-Analysis Li, Cuifen Xie, Manli Wang, Weiwei Liu, Yanyan Liao, Dan Yin, Jingwen Huang, Hao Front Genet Genetics Objective: It is suggested that estrogen receptors (ERs) might be associated with the disproportionate vulnerability of women to depressive episodes. Several variants in ER-alpha (ERα) and ER-beta (ERβ) have been linked to depression, but the results were not consistent. Hence, we conducted a meta-analysis to evaluate the association between ERα/ERβ and depression in a cohort of women. Methods: A comprehensive literature search was performed in public databases. The genetic association between polymorphisms in Erα/ERβ and depression risk in a cohort of women was evaluated by odds ratios (ORs) and 95% confidence intervals (CIs). Cochran’s Q test and the I(2) index were used to evaluate heterogeneity. Results: In total, 10 studies and 4 SNPs (rs2234693, rs9340799, rs4986938, rs1256049) were included in our meta-analysis. rs2234693 genotype was significantly associated with the risk of depression in women by dominant model (CC + CT vs TT, OR = 1.30, 95% CI: 1.09–1.55, p = 0.0031), recessive model (CC vs CT + TT, OR = 1.64, 95% CI: 1.00–2.67, p = 0.0478), additive model (CC vs TT, OR = 1.93, 95% CI: 1.12–3.35, p = 0.0189) and allelic model (C vs T, OR = 1.24, 95% CI: 1.10–1.39, p = 0.0003). For rs9340799, the frequencies of risk genotypes according to the dominant (GG + GA vs AA, OR = 1.47, 95% CI = 1.10–1.98, p = 0.0096, I(2) = 0%, p = 0.43) and allelic (G vs A, OR = 1.33, 95% CI: 1.04–1.69, p = 0.0236, I(2) = 0%, p = 0.39) models were significantly lower in women with depression than in controls within the Asian subgroup. For rs1256049, risk genotypes were significantly more frequent in depressed subjects than in controls under the dominant model (AA+ GA vs GG, OR = 1.62, 95% CI: 1.19–2.21, p = 0.0024) and the allelic model (A vs G, OR = 1.35, 95% CI: 1.07–1.72, p = 0.012) after sensitivity analysis by omitting one study which induce the heterogeneity. Conclusions: The current meta-analysis is the first and most comprehensive investigation of the association between ERs and depression in women, and the findings support the concept that ERs participate in the etiology of sex heterogeneity in depression. Frontiers Media S.A. 2022-07-19 /pmc/articles/PMC9343944/ /pubmed/35928452 http://dx.doi.org/10.3389/fgene.2022.936296 Text en Copyright © 2022 Li, Xie, Wang, Liu, Liao, Yin and Huang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Li, Cuifen
Xie, Manli
Wang, Weiwei
Liu, Yanyan
Liao, Dan
Yin, Jingwen
Huang, Hao
Association Between Polymorphisms in Estrogen Receptor Genes and Depression in Women: A Meta-Analysis
title Association Between Polymorphisms in Estrogen Receptor Genes and Depression in Women: A Meta-Analysis
title_full Association Between Polymorphisms in Estrogen Receptor Genes and Depression in Women: A Meta-Analysis
title_fullStr Association Between Polymorphisms in Estrogen Receptor Genes and Depression in Women: A Meta-Analysis
title_full_unstemmed Association Between Polymorphisms in Estrogen Receptor Genes and Depression in Women: A Meta-Analysis
title_short Association Between Polymorphisms in Estrogen Receptor Genes and Depression in Women: A Meta-Analysis
title_sort association between polymorphisms in estrogen receptor genes and depression in women: a meta-analysis
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9343944/
https://www.ncbi.nlm.nih.gov/pubmed/35928452
http://dx.doi.org/10.3389/fgene.2022.936296
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