ArticleClinical, cosmetic and investigational dermatology2025
Causal Relationship Between Sleep Characteristics and Alopecia Areata and Other Non-Scarring Alopecia: A Two-Sample Bidirectional Mendelian Randomization Analysis.
Article in Clinical, cosmetic and investigational dermatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Trichoscopic Features, Clinical Correlates, and Risk Prediction in Female Pattern Hair Loss: A Retrospective Case-Control Study.Clinical, cosmetic and investigational dermatology · 2026Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Previous studies have indicated an association between alopecia and sleep characteristics, but the causality is not clear. This study aimed to investigate the potential causal relationship between four sleep traits (morningness, sleep duration, insomnia, daytime napping) and four subtypes of alopecia (alopecia areata, androgenic alopecia, scarring, and other non-scarring alopecia). Methods: A bidirectional mendelian randomization (MR) analysis based on genome-wide association studies (GWAS) data was employed to examine the causal relationship between alopecia and sleep characteristics. Sample sizes ranged from 209 to 452,633 participants for different traits. Various analytical approaches, including Inverse Variance Weighted (IVW), Weighted Median, MR-Egger and Weighted Mode were employed. Instrumental variables were selected based on conventional significance thresholds (P < 5 × 10 Results: IVW method suggested causal associations between genetically predicted insomnia and a higher risk of alopecia areata (OR (95% CI) = 3.88 (1.5-10.04), P = 0.01), genetically predicted alopecia areata and morningness (OR (95% CI) = 1.0102 (1.0005-1.0201), P = 0.04), as well as genetically predicted non-scarring alopecia and reduced sleep duration (OR (95% CI) = 0.9881 (0.9767-0.9997), P = 0.04). However, these associations did not survive multiple testing correction. Cochran's Q test revealed heterogeneity in the analysis between scarring alopecia and daytime nap (Q = 39.29, P = 0.01), indicating potential variability in the genetic effects across different SNPs. Based on MR-PRESSO and leave-one-out analyses, outliers were removed, revealing no evidence of horizontal pleiotropy in this study. Conclusion: This MR study suggests potential bidirectional causal associations between alopecia and sleep characteristics. However, the findings should be interpreted cautiously due to multiple testing considerations. Future work should investigate mechanisms and generalize findings across populations.
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