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