孟德尔随机化
生物
组学
孟德尔遗传
计算生物学
遗传学
生物信息学
进化生物学
遗传变异
基因
基因型
作者
Mingyuan Fan,Zhangjun Yun,Jiushu Yuan,Sai Zhang,Hongyan Xie,Dan Lü,Haipo Yuan,Hong Gao
出处
期刊:Hereditas
[Springer Nature]
日期:2024-12-30
卷期号:161 (1)
标识
DOI:10.1186/s41065-024-00362-8
摘要
Abstract Background Considering that the treatment of gout is poor, we performed a Mendelian randomization (MR) study to identify candidate biomarkers and therapeutic targets for gout. Methods A drug-targeted MR study was performed for gout by integrating the gout genome-wide association studies (GWAS) summary data and cis expression quantitative trait loci of 2,633 druggable genes from multiple cohorts. Summary data-based Mendelian randomization (SMR) analyses based on transcript and protein levels were further implemented to validate the reliability of the identified potential therapeutic targets for gout. Phenome-wide MR (Phe-MR) analysis was conducted in 1403 diseases to investigate incidental side effects of potential therapeutic targets for gout. Results Eight potential therapeutic targets (ALDH3B1, FCGR2B, IL2RB, NRBP1, RCE1, SLC7A7, SUMF1, THBS3) for gout were identified in the discovery cohort using MR analysis. Replication analysis and meta-analysis implemented in the replication cohort validated the robustness of the MR findings ( P < 0.05). Evidence from the SMR analysis ( P < 0.05) further strengthened the reliability of the 8 potential therapeutic targets for gout also revealed that high levels of ALDH3B1 reduced the gout risk possibly modified by the methylation site cg25402137. SMR analysis ( P < 0.05) at the protein level added emphasis on the impact of the risk genes NRBP1 and SUMF1 on gout. Phe-MR analysis indicated significant causality between 7 gout causal genes and 45 diseases. Conclusion This study identified several biomarkers associated with gout risk, providing new insights into the etiology of gout and promising targets for the development of therapeutic agents.
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