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通过在不同人群中使用多基因风险评分来探索抑郁症治疗反应。

Exploring depression treatment response by using polygenic risk scoring across diverse populations.

作者信息

Lapinska Sandra, Pimplaskar Aditya, Shi Zhuozheng, Ding Yi, Frydman-Gani Clara, Hou Kangcheng, Venkateswaran Vidhya, Boulier Kristin, Olde Loohuis Loes M, Pasaniuc Bogdan

机构信息

Graduate Group in Genomics and Computational Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.

Bioinformatics Interdepartmental Program, University of California, Los Angeles, Los Angeles, CA, USA.

出版信息

Am J Hum Genet. 2025 Aug 7;112(8):1877-1891. doi: 10.1016/j.ajhg.2025.06.003. Epub 2025 Jun 27.

DOI:10.1016/j.ajhg.2025.06.003
PMID:40580956
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12362525/
Abstract

Treatment-resistant depression (TRD), usually defined as limited or no response to at least two antidepressants, occurs in approximately one-third of individuals diagnosed with major depressive disorder (MDD). Studies of individuals of European ancestry highlight a genetic overlap between TRD and MDD. We analyzed two large and diverse biobanks, the UCLA ATLAS Community Health Study (ATLAS) and the All of Us Research Program (AoU), to test for associations between a polygenic score for major depression (MDD-PGS) and TRD. Compared to treatment responders, TRD individuals have higher MDD-PGS across all ancestries. MDD-PGS was significantly associated with response to selective serotonin reuptake inhibitors in individuals of European and Hispanic/Latin American genetic ancestries in both biobanks. In AoU, a decreased MDD-PGS was observed in response to tricyclics or serotonin modulators in individuals of European American ancestry and in response to serotonin and norepinephrine reuptake inhibitors in individuals of African American ancestry. ATLAS found that MDD-PGS showed lower odds of responding to atypical agents than did TRD in MDD-affected individuals belonging to the Hispanic/Latin American group, MDD-PGS was associated with atypical agents. Overall, by leveraging larger sample sizes from two diverse biobanks, we provide new insights into antidepressant response and treatment specificity for MDD in individuals of diverse genetic ancestries.

摘要

难治性抑郁症(TRD)通常定义为对至少两种抗抑郁药反应有限或无反应,约三分之一被诊断为重度抑郁症(MDD)的患者会出现这种情况。对欧洲血统个体的研究突出了TRD和MDD之间的遗传重叠。我们分析了两个大型且多样的生物样本库,即加州大学洛杉矶分校地图集社区健康研究(ATLAS)和全民研究计划(AoU),以测试重度抑郁症多基因评分(MDD-PGS)与TRD之间的关联。与治疗反应者相比,TRD个体在所有血统中都有更高的MDD-PGS。在两个生物样本库中,欧洲和西班牙裔/拉丁裔遗传血统个体的MDD-PGS与对选择性5-羟色胺再摄取抑制剂的反应显著相关。在AoU中,在欧裔美国人个体中观察到三环类药物或5-羟色胺调节剂治疗后MDD-PGS降低,在非裔美国人个体中观察到5-羟色胺和去甲肾上腺素再摄取抑制剂治疗后MDD-PGS降低。ATLAS发现,在属于西班牙裔/拉丁裔群体的MDD患者中,MDD-PGS显示对非典型药物反应的几率低于TRD,MDD-PGS与非典型药物有关。总体而言,通过利用来自两个不同生物样本库的更大样本量,我们为不同遗传血统个体的MDD抗抑郁反应和治疗特异性提供了新的见解。

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Exploring depression treatment response by using polygenic risk scoring across diverse populations.通过在不同人群中使用多基因风险评分来探索抑郁症治疗反应。
Am J Hum Genet. 2025 Aug 7;112(8):1877-1891. doi: 10.1016/j.ajhg.2025.06.003. Epub 2025 Jun 27.

本文引用的文献

1
Antidepressant Switching as a Proxy Phenotype for Drug Nonresponse: Investigating Clinical, Demographic, and Genetic Characteristics.作为药物无反应替代表型的抗抑郁药换药:临床、人口统计学和遗传特征研究
Biol Psychiatry Glob Open Sci. 2025 Apr 10;5(4):100502. doi: 10.1016/j.bpsgos.2025.100502. eCollection 2025 Jul.
2
Enhancing the Polygenic Score Catalog with tools for score calculation and ancestry normalization.利用分数计算和血统归一化工具增强多基因分数目录。
Nat Genet. 2024 Oct;56(10):1989-1994. doi: 10.1038/s41588-024-01937-x.
3
Integrative polygenic risk score improves the prediction accuracy of complex traits and diseases.整合多基因风险评分可提高复杂性状和疾病的预测准确性。
Cell Genom. 2024 Apr 10;4(4):100523. doi: 10.1016/j.xgen.2024.100523. Epub 2024 Mar 19.
4
Genomic data in the All of Us Research Program.全美国研究计划中的基因组数据。
Nature. 2024 Mar;627(8003):340-346. doi: 10.1038/s41586-023-06957-x. Epub 2024 Feb 19.
5
Comparison of phenomic profiles in the All of Us Research Program against the US general population and the UK Biobank.比较“All of Us 研究计划”中的表型谱与美国普通人群和英国生物库。
J Am Med Inform Assoc. 2024 Apr 3;31(4):846-854. doi: 10.1093/jamia/ocad260.
6
Polygenic scores for tobacco use provide insights into systemic health risks in a diverse EHR-linked biobank in Los Angeles.多基因评分可深入了解洛杉矶多样化电子病历关联生物库中的系统性健康风险。
Transl Psychiatry. 2024 Jan 18;14(1):38. doi: 10.1038/s41398-024-02743-z.
7
Multi-ancestry genome-wide association study of major depression aids locus discovery, fine mapping, gene prioritization and causal inference.多祖裔全基因组关联研究辅助重度抑郁症发病机制的发现、精细定位、基因优先级推断和因果关系推断。
Nat Genet. 2024 Feb;56(2):222-233. doi: 10.1038/s41588-023-01596-4. Epub 2024 Jan 4.
8
Inferring disease architecture and predictive ability with LDpred2-auto.利用 LDpred2-auto 推断疾病结构和预测能力。
Am J Hum Genet. 2023 Dec 7;110(12):2042-2055. doi: 10.1016/j.ajhg.2023.10.010. Epub 2023 Nov 8.
9
Polygenic risk scores of lithium response and treatment resistance in major depressive disorder.多基因风险评分与重度抑郁症的锂反应和治疗抵抗。
Transl Psychiatry. 2023 Sep 28;13(1):301. doi: 10.1038/s41398-023-02602-3.
10
Depression pathophysiology, risk prediction of recurrence and comorbid psychiatric disorders using genome-wide analyses.利用全基因组分析探讨抑郁症的发病机制、复发风险预测和共患精神障碍。
Nat Med. 2023 Jul;29(7):1832-1844. doi: 10.1038/s41591-023-02352-1. Epub 2023 Jul 18.