Mendelian randomization analysis of psoriasis and psoriatic arthritis associated with risks of ulcerative colitis

Author:

Pan Jing1,Lv Yanwei2,Wang Lingyan1,Chang Xiaodan1,Zhao Kaiping3,Liu Xiao1

Affiliation:

1. Department of Dermatology and Venereology Beijing Jishuitan Hospital Capital Medical University Beijing China

2. Department of Clinical Epidemiology Research Center Beijing Jishuitan Hospital Capital Medical University Beijing China

3. Department of Medical Record Statistics Beijing Jishuitan Hospital Capital Medical University Beijing China

Abstract

AbstractObjectiveThis study is designed to explore the potential causal relationship between psoriasis and psoriatic arthritis (PsA) while investigating the genetic basis shared by these inflammatory diseases.MethodsSignificant single nucleotide polymorphisms (SNPs) associated with UC, psoriasis, and PsA were selected as genetic instrumental variables using Genome‐Wide Association Study (GWAS) datasets. Additionally, Mendelian randomization (MR) methods, including inverse‐variance weighting (IVW), MR‐Egger regression, and Weighted Median (WME), were utilized to evaluate the causal relationships between these diseases. Moreover, sensitivity analysis and heterogeneity testing were conducted to validate the stability of the results.ResultsA total of 123 significant SNPs associated with psoriasis, PsA, and UC were identified as genetic instrumental variables based on GWAS datasets. The analysis revealed a 36% increased risk of UC with psoriasis (odds ratio [OR] = 1.350, 95% confidence interval [CI] = 1.065‐1.729, P = 0.012) and a 32.9% increased risk of UC with PsA (OR = 1.329, 95% CI = 1.176‐1.592, P < 0.001). Further analysis showed a 43.5% increased risk of psoriasis with UC (OR = 1.435, 95% CI = 1.274‐1.831, P < 0.001) and a 45.8% increased risk of PsA with UC (OR = 1.458, 95% CI = 1.166‐1.822, P = 0.0013). In addition, sensitivity analysis and heterogeneity testing demonstrated the high stability of these results. Particularly, neither MR‐Egger regression analysis nor leave‐one‐out analysis revealed significant heterogeneity or pleiotropy bias, indicating the reliability of these causal estimates. Moreover, the use of the MR‐PRESSO further confirmed the positive correlation between psoriasis and UC, and the corrected estimates remained consistent with IVW analysis results after excluding potential outlier SNPs, enhancing the credibility of the analysis.ConclusionsThis study strengthens the understanding of the genetic and causal relationships among UC, psoriasis, and PsA through GWAS and MR methods, revealing the genetic basis they may share. These findings not only provide a novel perspective on the comorbidity mechanisms of these diseases but also offer a valuable reference for the development of future treatment strategies and intervention measures.

Publisher

Wiley

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