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雄激素性脱发与抑郁症之间的因果关系评估:一项双向孟德尔随机化研究
Authors Li H, Cai H, Li P, Zeng Y, Zhang Y
Received 16 October 2024
Accepted for publication 8 February 2025
Published 22 February 2025 Volume 2025:18 Pages 445—451
DOI https://doi.org/10.2147/CCID.S501182
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 3
Editor who approved publication: Dr Jeffrey Weinberg
Haiyang Li,* Haibin Cai,* Pingwei Li,* Yibin Zeng, Yao Zhang
Department of Dermatology, Minhang Hospital, Fudan University, Shanghai, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Yao Zhang; Yibin Zeng, Department of Dermatology, Minhang Hospital, Fudan University, 170 Xinsong Road, Shanghai, 201199, People’s Republic of China, Email zhangyao_@fudan.edu.cn; mitangbaba@163.com
Background: Androgenetic alopecia (AGA) is the most common form of alopecia globally, which exerts a negative impact on patients’ self-esteem and overall quality of life. Previous observational studies have found a significant increase in the prevalence of depression in AGA patients, but the causal relationship remains to be elucidated.
Methods: In this study, we conducted a bidirectional Mendelian randomization (MR) using genome-wide association studies (GWAS) datasets. The available GWAS dataset of AGA was obtained from the Neale Lab consortium (n=154988). The dataset for depression was obtained from the ebi-a-GCST90038650 (n=484598). The main analysis method for determining the causal link between AGA and depression was inverse variance weighted (IVW). Subsequently, pleiotropy and heterogeneity tests were performed to determine the reliability of the results.
Results: Utilizing the IVW method, depression does not significantly contribute to the incidence of AGA (IVW odds ratio [OR] = 1.101, 95% confidence interval [CI] =0.890– 1.362, P = 0.374). Conversely, the data suggested a statistically significant association where AGA may precipitate the development of depression, with a notable increase in risk (IVW OR = 1.015, 95% CI = 1.002– 1.029, P = 0.020).
Conclusion: We are the first to use MR analysis to explore the causal relationship between AGA and depression, revealing an increased risk of depression in individuals with AGA.
Keywords: androgenetic alopecia, depression, Mendelian randomization, genome-wide association study