Investigating shared risk variants and genetic etiology between Alzheimer's disease and three stress-related psychiatric disorders: a large-scale genome-wide cross-trait analysis

被引:0
作者
Dang, Weijia [1 ]
Hao, Tianqi [1 ]
Li, Ning [2 ]
Zhang, Hualin [1 ]
Li, Ziqi [1 ]
Yu, Hongmei [1 ]
Wen, Yalu [3 ]
Zheng, Deqiang [2 ]
Liu, Long [4 ]
机构
[1] Shanxi Med Univ, Sch Publ Hlth, Dept Hlth Stat, Taiyuan, Shanxi, Peoples R China
[2] Capital Med Univ, Sch Publ Hlth, Dept Epidemiol & Hlth Stat, Beijing, Peoples R China
[3] Univ Auckland, Dept Stat, Auckland, New Zealand
[4] Binzhou Med Univ, Sch Publ Hlth & Management, Dept Hlth Stat, Yantai, Shandong, Peoples R China
来源
FRONTIERS IN AGING | 2025年 / 6卷
基金
中国国家自然科学基金;
关键词
Alzheimer's disease; stress-related psychiatric disorders; genetic correlation; genome-wide cross-trait analysis; shared genetic etiology; ASSOCIATION; ANXIETY; METAANALYSIS; DEPRESSION; STATISTICS; PTSD;
D O I
10.3389/fragi.2025.1488528
中图分类号
R592 [老年病学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 100203 ;
摘要
Introduction Observational studies have reported that patients with Alzheimer's disease (AD) have a greater burden of comorbidities typically associated with stress-related psychiatric disorders. However, the contribution of hereditary factors to this comorbidity remains unclear. We evaluated phenotypic associations using observational data from the UK Biobank. Method Our study focused on investigating the shared risk variants and genetic etiology underlying AD and three stress-related psychiatric disorders: post-traumatic stress disorder, anxiety disorder, and major depressive disorder. By leveraging summary statistics from genome-wide association studies, we investigated global genetic correlations using linkage disequilibrium score regression, genetic covariance analysis, and high-definition likelihood. Genome-wide cross-trait analysis with association analysis based on subsets and cross-phenotype association were performed to discover genome-wide significant risk variants shared between AD and the three stress-related psychiatric disorders. Results A significant positive genetic correlation was observed between AD and major depressive disorder using linkage disequilibrium score regression (rg = 0.231; P = 0.018), genetic covariance analysis (rg = 0.138; P < 0.001), and high-definition likelihood (rg = 0.188; P < 0.001). Association analysis based on subsets and cross-phenotype association revealed thirteen risk variants in six genes shared between AD and post-traumatic stress disorder; seven risk variants in four genes shared between AD and anxiety disorder; and 23 risk variants in four genes shared between AD and major depressive disorder. Functional annotation and gene-set enrichment analysis indicated that 12 genes for comorbidity shared between patients with AD and all three stress-related psychiatric disorders were enriched in the spleen, pancreas, and whole blood. Conclusion These results advance our knowledge of the shared genetic origins of comorbidities and pave the way for advancements in the diagnosis, management, and prevention of stress-related AD.
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