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. 2024 Aug;30(8):e70000.
doi: 10.1111/srt.70000.

Causal effects of omega-6 and LDL-C on androgenetic alopecia: A Mendelian randomization study

Liu Peilong  1 , Zhao Quanlin  2 , Gu Shuqing  3
Affiliations

Causal effects of omega-6 and LDL-C on androgenetic alopecia: A Mendelian randomization study

Liu Peilong et al. Skin Res Technol. 2024 Aug.

Retraction in

Abstract

Background: Increasing studies have reported a causal relationship between androgenetic alopecia (AGA) and lipid-related metabolites. However, the relationships between HDL-C, LDL-C, Omega-6, and Omega-3 with AGA remain unclear. Some research findings are even contradictory. Therefore, we designed this study to explore this issue.

Methods: In this study, we selected seven exposure factors, screened SNPs with significant associations, removed linkage disequilibrium and weak instrumental variables, and conducted bidirectional MR analysis.

Results: The study found that omega-6 and LDL-C, especially total cholesterol in medium LDL and total cholesterol in small LDL, are risk factors for the occurrence of androgenetic alopecia.

Conclusion: In summary, we found that various lipid-related metabolites have a causal relationship with the occurrence of androgenetic alopecia, providing new insights into the pathogenesis of androgenetic alopecia and offering references for clinical treatment of androgenetic alopecia.

Keywords: LDL‐C; Mendelian randomization; Omega‐6; androgenic alopecia.

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Conflict of interest statement

The authors declare no conflicts of interest.

Figures

FIGURE 1
FIGURE 1
The flow chart delineates the assumptions and methodological details of the bidirectional Mendelian randomization employed in this study, encompassing data sources, exposure variables, outcome measures, and analytical techniques.
FIGURE 2
FIGURE 2
MR analysis results and forest plot of seven substances.
FIGURE 3
FIGURE 3
The trend of the relationship between exposure and outcome under different analysis methods.
FIGURE 4
FIGURE 4
The heterogeneity of SNPs. If there are particularly outliers, it means heterogeneity may exist.
FIGURE 5
FIGURE 5
A leave‐one‐out graph showing the impact of removing each SNP on the overall analysis results.
See this image and copyright information in PMC

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