Association Between Androgenetic Alopecia and Schizophrenia: A Bidirectional Mendelian Randomization Study

Objective: Hair diseases are associated with mental illness. However, the relationship between schizophrenia and androgenetic alopecia (AGA) is lacking. In this study, we explored the causal relationship between AGA and schizophrenia using Mendelian randomization (MR) analysis. Methods: A bidirectional MR analysis was conducted to determine the causal relationship between AGA and schizophrenia using data from the IEU OpenGWAS database (https://gwas.mrcieu.ac.uk/). The methods used for forward and reverse MR analyses included the inverse variance weighted method, MR-Egger method, weighted median, weighted mode, and simple mode approaches. Heterogeneity was assessed with the MR-Egger and inverse variance weighted methods, and Cochran’s Q test was used to evaluate heterogeneity. MR-Egger regression was used to assess pleiotropy, and a leave-one-out method was applied to evaluate the dependence of MR results on specific single-nucleotide polymorphisms (SNPs). Gene ontology enrichment and Kyoto Encyclopedia of Genes and Genomes pathway analyses were performed for genes influencing the causal relationship between exposure and outcome at SNP sites. Results: Forward MR analysis revealed a significant causal relationship between AGA and schizophrenia (odds ratio [95% confidence interval], 0.996 [0.992–0.999]; P = 0.025), while reverse MR analysis showed no causal association between schizophrenia and AGA (odds ratio [95% confidence interval], 1.061 [0.965–1.165]; P = 0.220). No heterogeneity or pleiotropy was observed. Gene ontology enrichment and Kyoto Encyclopedia of Genes and Genome pathway analyses indicated that affected genes at SNP sites in forward MR analysis were associated with pyrimidine metabolism, nucleotide metabolism, galactose metabolism, ion activity, the mammalian target of rapamycin signaling pathway, and RNA degradation. Conclusion: A causal relationship between AGA and schizophrenia was identified in forward MR analysis, while schizophrenia showed no causal association with AGA in reverse MR analysis.

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Journal
International Journal of Dermatology and Venereology
Published
2025-04-09
DOI
https://doi.org/10.1097/jd9.0000000000000419
Primary Topic
Nuclear Receptors and Signaling
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article
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article

Association Between Androgenetic Alopecia and Schizophrenia: A Bidirectional Mendelian Randomization Study

Mingyang Wu, Li Ma, Yao Xu, Xingyu Chen
1 links
International Journal of Dermatology and Venereology
Nuclear Receptors and Signaling
article

Association Between Androgenetic Alopecia and Schizophrenia: A Bidirectional Mendelian Randomization Study

Mingyang Wu, Li Ma, Yao Xu, Xingyu Chen
article en

Abstract

Objective: Hair diseases are associated with mental illness. However, the relationship between schizophrenia and androgenetic alopecia (AGA) is lacking. In this study, we explored the causal relationship between AGA and schizophrenia using Mendelian randomization (MR) analysis. Methods: A bidirectional MR analysis was conducted to determine the causal relationship between AGA and schizophrenia using data from the IEU OpenGWAS database (https://gwas.mrcieu.ac.uk/). The methods used for forward and reverse MR analyses included the inverse variance weighted method, MR-Egger method, weighted median, weighted mode, and simple mode approaches. Heterogeneity was assessed with the MR-Egger and inverse variance weighted methods, and Cochran’s Q test was used to evaluate heterogeneity. MR-Egger regression was used to assess pleiotropy, and a leave-one-out method was applied to evaluate the dependence of MR results on specific single-nucleotide polymorphisms (SNPs). Gene ontology enrichment and Kyoto Encyclopedia of Genes and Genomes pathway analyses were performed for genes influencing the causal relationship between exposure and outcome at SNP sites. Results: Forward MR analysis revealed a significant causal relationship between AGA and schizophrenia (odds ratio [95% confidence interval], 0.996 [0.992–0.999]; P = 0.025), while reverse MR analysis showed no causal association between schizophrenia and AGA (odds ratio [95% confidence interval], 1.061 [0.965–1.165]; P = 0.220). No heterogeneity or pleiotropy was observed. Gene ontology enrichment and Kyoto Encyclopedia of Genes and Genome pathway analyses indicated that affected genes at SNP sites in forward MR analysis were associated with pyrimidine metabolism, nucleotide metabolism, galactose metabolism, ion activity, the mammalian target of rapamycin signaling pathway, and RNA degradation. Conclusion: A causal relationship between AGA and schizophrenia was identified in forward MR analysis, while schizophrenia showed no causal association with AGA in reverse MR analysis.

International Journal of Dermatology and VenereologyVol. 9(1)
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Chinese Academy of Medical Sciences Dermatology Hospital (CN), Jiangsu Cancer Hospital (CN)
Openalex Percentile: Top 91%
Nuclear Receptors and Signaling
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