Frailty and psychiatric disorders: A bidirectional Mendelian randomization study

孟德尔随机化 精神科 医学 随机化 内科学 临床心理学 心理学 临床试验 遗传学 生物 基因型 基因 遗传变异
作者
Jie-Hai Chen,Hang Lei,Yu-Fei Wan,Xiao-Chun Zhu,Li-Ying Zeng,Hao-Xuan Tang,Yunfeng Zhao,Ying Pan,Yong-Qiang Deng,Ke‐Xuan Liu
出处
期刊:Journal of Affective Disorders [Elsevier BV]
卷期号:356: 346-355 被引量:11
标识
DOI:10.1016/j.jad.2024.04.024
摘要

The association between frailty and psychiatric disorders has been reported in observational studies. However, it is unclear whether frailty facilitates the appearance of psychiatric disorders or vice versa. Therefore, we conducted a bidirectional Mendelian randomization (MR) study to evaluate the causality. Independent genetic variants associated with frailty index (FI) and psychiatric disorders were obtained from large genome-wide association studies (GWAS). The inverse variance weighted method was utilized as the primary method to estimate causal effects, followed by various sensitivity analyses. Multivariable analyses were performed to further adjust for potential confounders. The present MR study revealed that genetically predicted FI was significantly and positively associated with the risk of major depressive disorder (MDD) (odds ratio [OR] 1.79, 95 % confidence interval [CI] 1.48–2.15, P = 1.06 × 10−9), anxiety disorder (OR 1.61, 95 % CI 1.19–2.18, P = 0.002) and neuroticism (OR 1.38, 95 % CI 1.18–1.61, P = 3.73 × 10−5). In the reverse MR test, genetic liability to MDD (beta 0.232, 95 % CI 0.189–0.274, P = 1.00 × 10−26) and neuroticism (beta 0.128, 95 % CI 0.081–0.175, P = 8.61 × 10−8) were significantly associated with higher FI. Multivariable analyses results supported the causal association between FI and MDD and neuroticism. Restriction to European populations, and sample selection bias. Our study suggested a bidirectional causal association between frailty and MDD neuroticism, and a positive correlation of genetically predicted frailty on the risk of anxiety disorder. Developing a deeper understanding of these associations is essential to effectively manage frailty and optimize mental health in older adults.
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