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性创伤、多基因评分与心理健康诊断及结果

Sexual Trauma, Polygenic Scores, and Mental Health Diagnoses and Outcomes.

作者信息

Lake Allison M, Zhou Yu, Wang Bo, Actkins Ky'Era V, Zhang Yingzhe, Shelley John P, Rajamani Anindita, Steigman Michael, Kennedy Chris J, Smoller Jordan W, Choi Karmel W, Khankari Nikhil K, Davis Lea K

机构信息

Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.

Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee.

出版信息

JAMA Psychiatry. 2025 Jan 1;82(1):75-84. doi: 10.1001/jamapsychiatry.2024.3426.

DOI:10.1001/jamapsychiatry.2024.3426
PMID:39475956
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11581726/
Abstract

IMPORTANCE

Leveraging real-world clinical biobanks to investigate the associations between genetic and environmental risk factors for mental illness may help direct clinical screening efforts and evaluate the portability of polygenic scores across environmental contexts.

OBJECTIVE

To examine the associations between sexual trauma, polygenic liability to mental health outcomes, and clinical diagnoses of schizophrenia, bipolar disorder, and major depressive disorder in a clinical biobank setting.

DESIGN, SETTING, AND PARTICIPANTS: This genetic association study was conducted using clinical and genotyping data from 96 002 participants across hospital-linked biobanks located at Vanderbilt University Medical Center (VUMC), Nashville, Tennessee (including 58 262 individuals with high genetic similarity to the 1000 Genomes Project [1KG] Northern European from Utah reference population [1KG-EU-clustered] and 11 047 with high genetic similarity to the 1KG African-ancestry reference population of Yoruba in Ibadan, Nigeria [1KG-YRI-clustered]), and Mass General Brigham (MGB), Boston, Massachusetts (26 693 individuals with high genetic similarity to the combined European-ancestry superpopulation [1KG-EU-clustered]). Clinical data analyzed included diagnostic billing codes and clinical notes spanning from 1976 to 2023. Data analysis was performed from 2022 to 2024.

EXPOSURES

Clinically documented sexual trauma disclosures and polygenic scores for schizophrenia, bipolar disorder, and major depressive disorder.

MAIN OUTCOMES AND MEASURES

Diagnoses of schizophrenia, bipolar disorder, and major depressive disorder, determined by aggregating related diagnostic billing codes, were the dependent variables in logistic regression models including sexual trauma disclosure status, polygenic scores, and their interactions as the independent variables.

RESULTS

Across the VUMC and MGB biobanks, 96 002 individuals were included in analyses (VUMC 1KG-EU-clustered: 33 011 [56.7%] female; median [range] age, 56.8 [10.0 to >89] years; MGB 1KG-EU-clustered: 14 647 [54.9%] female; median [range] age, 58.0 [10.0 to >89] years; VUMC 1KG-YRI-clustered: 6961 [63.0%] female; median [range] age, 44.6 [10.1 to >89] years). Sexual trauma history was associated with all mental health conditions across institutions (ORs ranged from 8.83 [95% CI, 5.50-14.18] for schizophrenia in the VUMC 1KG-YRI-clustered cohort to 17.65 [95% CI, 12.77-24.40] for schizophrenia in the VUMC 1KG-EU-clustered cohort). Sexual trauma history and polygenic scores jointly explained 3.8% to 8.8% of mental health phenotypic variance. Schizophrenia and bipolar disorder polygenic scores had greater associations with mental health outcomes in individuals with no documented disclosures of sexual trauma (schizophrenia interaction: OR, 0.70 [95% CI, 0.56-0.88]; bipolar disorder interaction: OR, 0.83 [95% CI, 0.74-0.94]).

CONCLUSIONS AND RELEVANCE

Sexual trauma and mental health polygenic scores, while correlated with one another, were independent and joint risk factors for severe mental illness in a large, diverse hospital biobank population. Furthermore, associations of schizophrenia and bipolar disorder polygenic scores with respective diagnoses were greater in those without disclosures, suggesting that genetic predisposition to mental illness as measured by polygenic scores may be less impactful in the presence of this severe environmental risk factor.

摘要

重要性

利用真实世界的临床生物样本库来研究精神疾病的遗传和环境风险因素之间的关联,可能有助于指导临床筛查工作,并评估多基因评分在不同环境背景下的可转移性。

目的

在临床生物样本库环境中,研究性创伤、心理健康结果的多基因易感性与精神分裂症、双相情感障碍和重度抑郁症的临床诊断之间的关联。

设计、设置和参与者:这项基因关联研究使用了来自田纳西州纳什维尔范德堡大学医学中心(VUMC)与医院相关的生物样本库中96002名参与者的临床和基因分型数据(包括58262名与1000基因组计划[1KG]来自犹他州的北欧参考人群[1KG-EU聚类]遗传相似度高的个体,以及11047名与1KG来自尼日利亚伊巴丹约鲁巴族非洲血统参考人群[1KG-YRI聚类]遗传相似度高的个体),以及马萨诸塞州波士顿的麻省总医院布莱根分院(MGB)(26693名与合并的欧洲血统超人群[1KG-EU聚类]遗传相似度高的个体)。分析的临床数据包括1976年至2023年的诊断计费代码和临床记录。数据分析于2022年至2024年进行。

暴露因素

临床记录的性创伤披露情况以及精神分裂症、双相情感障碍和重度抑郁症的多基因评分。

主要结局和测量指标

通过汇总相关诊断计费代码确定的精神分裂症、双相情感障碍和重度抑郁症诊断,是逻辑回归模型中的因变量,该模型将性创伤披露状态、多基因评分及其相互作用作为自变量。

结果

在VUMC和MGB生物样本库中,96002名个体纳入分析(VUMC 1KG-EU聚类:33011名[56.7%]为女性;年龄中位数[范围]为56.8[10.0至>89]岁;MGB 1KG-EU聚类:14647名[54.9%]为女性;年龄中位数[范围]为58.0[10.0至>89]岁;VUMC 1KG-YRI聚类:6961名[63.0%]为女性;年龄中位数[范围]为44.6[10.1至>89]岁)。各机构中,性创伤史与所有心理健康状况相关(OR值范围从VUMC 1KG-YRI聚类队列中精神分裂症的8.83[95%CI,5.50 - 14.18]到VUMC 1KG-EU聚类队列中精神分裂症的17.65[95%CI,12.77 - 24.40])。性创伤史和多基因评分共同解释了心理健康表型变异的3.8%至8.8%。在没有记录性创伤披露的个体中,精神分裂症和双相情感障碍的多基因评分与心理健康结果的关联更强(精神分裂症相互作用:OR,0.70[95%CI,0.56 - 0.88];双相情感障碍相互作用:OR,0.83[95%CI,0.74 - 0.94])。

结论和相关性

在一个大型、多样化的医院生物样本库人群中,性创伤和心理健康多基因评分虽然相互关联,但却是严重精神疾病的独立和共同风险因素。此外,在没有披露的人群中,精神分裂症和双相情感障碍多基因评分与各自诊断的关联更强,这表明多基因评分所衡量的精神疾病遗传易感性在存在这种严重环境风险因素时可能影响较小。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f9e/11581726/65c6f87c7d0b/jamapsychiatry-e243426-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f9e/11581726/bbb380972e00/jamapsychiatry-e243426-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f9e/11581726/65c6f87c7d0b/jamapsychiatry-e243426-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f9e/11581726/bbb380972e00/jamapsychiatry-e243426-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f9e/11581726/65c6f87c7d0b/jamapsychiatry-e243426-g002.jpg

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