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基于英国生物库的抑郁症表型的性别特异性全基因组关联研究。

A sex-specific genome-wide association study of depression phenotypes in UK Biobank.

机构信息

Ludmer Centre for Neuroinformatics and Mental Health, Department of Psychiatry, Faculty of Medicine & Douglas Research Centre, McGill University, Montreal, QC, Canada.

Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.

出版信息

Mol Psychiatry. 2023 Jun;28(6):2469-2479. doi: 10.1038/s41380-023-01960-0. Epub 2023 Feb 7.

Abstract

There are marked sex differences in the prevalence, phenotypic presentation and treatment response for major depression. While genome-wide association studies (GWAS) adjust for sex differences, to date, no studies seek to identify sex-specific markers and pathways. In this study, we performed a sex-stratified genome-wide association analysis for broad depression with the UK Biobank total participants (N = 274,141), including only non-related participants, as well as with males (N = 127,867) and females (N = 146,274) separately. Bioinformatics analyses were performed to characterize common and sex-specific markers and associated processes/pathways. We identified 11 loci passing genome-level significance (P < 5 × 10) in females and one in males. In both males and females, genetic correlations were significant between the broad depression GWA and other psychopathologies; however, correlations with educational attainment and metabolic features including body fat, waist circumference, waist-to-hip ratio and triglycerides were significant only in females. Gene-based analysis showed 147 genes significantly associated with broad depression in the total sample, 64 in the females and 53 in the males. Gene-based analysis revealed "Regulation of Gene Expression" as a common biological process, but suggested sex-specific molecular mechanisms. Finally, sex-specific polygenic risk scores (PRSs) for broad depression outperformed total and the opposite sex PRSs in the prediction of broad major depressive disorder. These findings provide evidence for sex-dependent genetic pathways for clinical depression as well as for health conditions comorbid with depression.

摘要

在主要抑郁症的患病率、表型表现和治疗反应方面存在明显的性别差异。虽然全基因组关联研究(GWAS)会调整性别差异,但迄今为止,还没有研究试图确定性别特异性的标志物和途径。在这项研究中,我们对英国生物库的所有参与者(N=274141)进行了性别分层的全基因组关联分析,包括仅非相关的参与者,以及男性(N=127867)和女性(N=146274)分别。生物信息学分析用于描述常见和性别特异性的标志物以及相关的过程/途径。我们在女性中确定了 11 个通过全基因组水平显著(P<5×10)的位点,在男性中确定了一个。在男性和女性中,广泛的抑郁症 GWAS 与其他精神病理学之间的遗传相关性显著;然而,与教育程度和代谢特征(包括体脂肪、腰围、腰臀比和甘油三酯)的相关性仅在女性中显著。基于基因的分析表明,在总样本中,有 147 个基因与广泛的抑郁症显著相关,在女性中有 64 个,在男性中有 53 个。基于基因的分析表明,“基因表达调控”是一个共同的生物学过程,但表明了性别特异性的分子机制。最后,广泛的抑郁症的性别特异性多基因风险评分(PRS)在预测广泛的重度抑郁症方面优于总 PRS 和异性 PRS。这些发现为临床抑郁症以及与抑郁症共病的健康状况提供了性别依赖的遗传途径的证据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb47/10611579/dee12fd827cf/41380_2023_1960_Fig1_HTML.jpg

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