Investigation of variants in estrogen receptor genes and perinatal depression

Tan, Eng Leong; Lim, Hwee-Woon; Chua, Tze-Ern; Tan, H. H.; Lee, Theresa My; Chen, Helen Y

doi:10.2147/ndt.s160424

Cited by 12 publications

(18 citation statements)

References 37 publications

(35 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Tsai et al (Tsai et al, 2003) first reported the significant association of rs2234693 in female depression patients and was then identified in the Chinese population by He's study (He et al, 2017). Tan's (Tan et al, 2018) and Ryan's (Ryan et al, 2012) studies also showed a higher frequency of the C allele in the depression group than in the control group. Moreover, a significant difference remained in the subgroup of Asians.…”

Section: Discussionmentioning

confidence: 87%

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

Xie²,

Wang

et al. 2022

Front. Genet.

View full text Add to dashboard Cite

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 I2 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, I2 = 0%, p = 0.43) and allelic (G vs A, OR = 1.33, 95% CI: 1.04–1.69, p = 0.0236, I2 = 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.

show abstract

Section: Discussionmentioning

confidence: 87%

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

Xie²,

Wang

et al. 2022

Front. Genet.

View full text Add to dashboard Cite

show abstract

“…Other studies, however, found no polymorphisms of either ESR1 or ESR2 that were associated with postpartum psychosis. 10…”

Section: Postpartum Psychotic Disordersmentioning

confidence: 99%

“…Other studies, however, found no polymorphisms of either ESR1 or ESR2 that were associated with postpartum psychosis. 10 Postpartum psychoses fall into three categories: mania or mixed episodes with psychotic features, depressive episodes with psychotic features, and nonaffective psychotic episodes. 3 These can occur after one birth (usually the first) and never again or they can recur with every birth (25-50% of the time).…”

Section: Postpartum Psychotic Disordersmentioning

confidence: 99%

The association between hormones and antipsychotic use: a focus on postpartum and menopausal women

González-Rodríguez

Seeman

2019

Therapeutic Advances in Psychopharmacology

View full text Add to dashboard Cite

During the postpartum and menopausal periods of women’s lives, there is a well-established and significant drop of circulating estrogens. This may be the reason why both these periods are associated with an increased risk for onset or exacerbation of psychiatric disorders. Whether symptoms are mainly affective or mainly psychotic, these disorders are frequently treated with antipsychotic medications, which calls for an examination of the relationship between hormone replacement and antipsychotic agents at these time periods. The aim of this narrative review is to summarize what is known about the association of hormones and antipsychotics in the postnatal period and at menopause. In the review, we focus on estrogen and oxytocin hormones and include, for the most part, only papers published within the last 10 years. Both estradiol and oxytocin have at various times been implicated in the etiology of postpartum disorders, and estrogens, sometimes combined with progesterone, have been tested as potential treatments for these conditions. The role of estradiol as an adjunct to antipsychotics in the prevention of postpartum relapses is currently controversial. With respect to oxytocin, studies are lacking. Psychosis in menopausal and postmenopausal women has been successfully treated with estrogens and selective estrogen-receptor modulators, mainly raloxifene, in addition to antipsychotics. Some symptoms appear to respond better than others. No oxytocin study has specifically targeted postmenopausal women. Because of feedback mechanisms, there is a theoretical danger of therapy with exogenous hormones interfering with endogenous secretion and disturbing the balance among inter-related hormones. When used with antipsychotics, hormones may also affect the metabolism and, hence, the brain level of specific antipsychotics. This makes treatment with antipsychotics plus hormones complicated. Dose, timing and route of intervention may all prove critical to efficacy. While much remains unknown, this literature review indicates that, within standard dose ranges, the combination of hormones and antipsychotics for postnatal and menopausal women suffering severe mental distress can be beneficial, and is safe.

show abstract

“…ESR1 has been reported to be associated with MDD 39 and perinatal depression. 40 , 41 ESR1 was implicated in anxiety-like behaviour and was identified to be a genome-wide risk gene for anxiety. 42 Associations between ESR1 and MDD could have useful preventive and therapeutic implications, and help to lead to more personalized therapies based on one’s genetic profile.…”

Section: Discussionmentioning

confidence: 99%

Shared genetic liability between major depressive disorder and osteoarthritis

Zhang

Rao

Baranova

2022

Bone & Joint Research

View full text Add to dashboard Cite

Aims Deciphering the genetic relationships between major depressive disorder (MDD) and osteoarthritis (OA) may facilitate an understanding of their biological mechanisms, as well as inform more effective treatment regimens. We aim to investigate the mechanisms underlying relationships between MDD and OA in the context of common genetic variations. Methods Linkage disequilibrium score regression was used to test the genetic correlation between MDD and OA. Polygenic analysis was performed to estimate shared genetic variations between the two diseases. Two-sample bidirectional Mendelian randomization analysis was used to investigate causal relationships between MDD and OA. Genomic loci shared between MDD and OA were identified using cross-trait meta-analysis. Fine-mapping of transcriptome-wide associations was used to prioritize putatively causal genes for the two diseases. Results MDD has a significant genetic correlation with OA (rg = 0.29) and the two diseases share a considerable proportion of causal variants. Mendelian randomization analysis indicates that genetic liability to MDD has a causal effect on OA (bxy = 0.24) and genetic liability to OA conferred a causal effect on MDD (bxy = 0.20). Cross-trait meta-analyses identified 29 shared genomic loci between MDD and OA. Together with fine-mapping of transcriptome-wide association signals, our results suggest that Estrogen Receptor 1 ( ESR1), SRY-Box Transcription Factor 5 ( SOX5), and Glutathione Peroxidase 1 ( GPX1) may have therapeutic implications for both MDD and OA. Conclusion The study reveals substantial shared genetic liability between MDD and OA, which may confer risk for one another. Our findings provide a novel insight into phenotypic relationships between MDD and OA. Cite this article: Bone Joint Res 2022;11(1):12–22.

show abstract

Investigation of variants in estrogen receptor genes and perinatal depression

Cited by 12 publications

References 37 publications

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

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

The association between hormones and antipsychotic use: a focus on postpartum and menopausal women

Shared genetic liability between major depressive disorder and osteoarthritis

Contact Info

Product

Resources

About