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ORIGINAL RESEARCH

Causal Association Between Diabetes, Body Mass Index and Lichen Sclerosus: A Bidirectional Two-Sample Mendelian Randomization Analysis

, , & ORCID Icon
Pages 931-940 | Received 01 Dec 2023, Accepted 31 Mar 2024, Published online: 26 Apr 2024

Figures & data

Figure 1 Workflow of Mendelian randomization study in this study.

Figure 1 Workflow of Mendelian randomization study in this study.

Table 1 Details of GWAS Used for Exposures and Outcomes.

Table 2 The Causal Effect of (A) T1D, (B) T2D, and (C) BMI on Lichen Sclerosus.

Figure 2 Scatter plots visualizing the Mendelian randomization (MR) estimates of the different exposures ((A): Type 1 diabetes; (B): Type 2 diabetes; (C): Body mass index) with the outcome (lichen sclerosus). Inverse-variance weighted (IVW), MR-Egger, and weighted median methods were the main estimators of the analysis.

Figure 2 Scatter plots visualizing the Mendelian randomization (MR) estimates of the different exposures ((A): Type 1 diabetes; (B): Type 2 diabetes; (C): Body mass index) with the outcome (lichen sclerosus). Inverse-variance weighted (IVW), MR-Egger, and weighted median methods were the main estimators of the analysis.

Table 3 The Causal Effect of LS on (A) T1D, (B) T2D, and (C) BMI.

Figure 3 Scatter plots visualizing the Mendelian randomization (MR) estimates of the exposure (lichen sclerosus) with different outcomes ((A): Type 1 diabetes; (B): Type 2 diabetes; (C): Body mass index).

Figure 3 Scatter plots visualizing the Mendelian randomization (MR) estimates of the exposure (lichen sclerosus) with different outcomes ((A): Type 1 diabetes; (B): Type 2 diabetes; (C): Body mass index).