Sex-Specific Association Between Polymorphisms in Estrogen Receptor Alpha Gene (ESR1) and Depression: A Genome-Wide Association Study of All of Us and UK Biobank Data

IF 1.7 4区 医学 Q3 GENETICS & HEREDITY Genetic Epidemiology Pub Date : 2025-02-26 DOI:10.1002/gepi.70004
Yue Hu, Menglu Che, Heping Zhang
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引用次数: 0

Abstract

Major depressive disorder (MDD) is prevalent worldwide, substantially and negatively impacting both the quality and length of life of 280 million people globally. The genetic risk factors of MDD have been studied in various previous research, but the findings lack consistency. Sex/gender and racial/ethnic disparities have been reported; however, many previous genetic studies, represented by large-scale genome-wide association studies (GWASs) are known to lack diversity in the study cohorts. All of Us is a biorepository aiming to focus on the historically underrepresented groups. We perform GWASs for the MDD phenotype, using over 200,000 participants' genotypes and carry out sex- and racial/ethnic-specific subgroup studies. We identified a risk locus (chr6:151945242) in Estrogen Receptor Alpha Gene (ESR1) (p =  1.70 × 10 9 $1.70\times {10}^{-9}$ ), and further confirmed the genetic association is sex-specific. The single-nucleotide polymorphism (SNP) chr6:151945242 was significant only in the male group, but not in the female group. These findings were replicated in the UK Biobank and echo with existing studies on the ESR1 gene and depressive disorders. Our results indicate that the All of Us program is a reliable resource for GWAS, as well as shedding light on further investigation of sex- and racial/ethnic-specific genome association, especially in underrepresented groups of the US population.

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来源期刊
Genetic Epidemiology
Genetic Epidemiology 医学-公共卫生、环境卫生与职业卫生
CiteScore
4.40
自引率
9.50%
发文量
49
审稿时长
6-12 weeks
期刊介绍: Genetic Epidemiology is a peer-reviewed journal for discussion of research on the genetic causes of the distribution of human traits in families and populations. Emphasis is placed on the relative contribution of genetic and environmental factors to human disease as revealed by genetic, epidemiological, and biologic investigations. Genetic Epidemiology primarily publishes papers in statistical genetics, a research field that is primarily concerned with development of statistical, bioinformatical, and computational models for analyzing genetic data. Incorporation of underlying biology and population genetics into conceptual models is favored. The Journal seeks original articles comprising either applied research or innovative statistical, mathematical, computational, or genomic methodologies that advance studies in genetic epidemiology. Other types of reports are encouraged, such as letters to the editor, topic reviews, and perspectives from other fields of research that will likely enrich the field of genetic epidemiology.
期刊最新文献
Dimension Reduction Using Local Principal Components for Regression-Based Multi-SNP Analysis in 1000 Genomes and the Canadian Longitudinal Study on Aging (CLSA) Issue Information Sex-Specific Association Between Polymorphisms in Estrogen Receptor Alpha Gene (ESR1) and Depression: A Genome-Wide Association Study of All of Us and UK Biobank Data Reference-Based Standardization Approach Stabilizing Small Batch Risk Prediction via Polygenic Score Issue Information
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