Inflammatory bowel disease (IBD) is a hereditary and chronic inflammatory condition affecting the gastrointestinal tract, with two main subphenotypes: Crohn's disease (CD) and ulcerative colitis (UC). Most IBD-related genetic associations are limited to independent subphenotypes and ancestral populations, and the heritability remains largely unexplained, prompting us to conduct the large-scale multi-trait genome-wide association study (GWAS) meta-analysis that incorporates both subphenotypes and diverse ancestral populations to reveal novel susceptibility loci through the substantially enhanced genetic discovery power. We initially identified IBD statistical association signals at 84 (12 novels) independent index loci by two-stage multi-trait analysis of GWAS and increased the number to 165 (29 novels) in cross-ancestry meta-analysis. Subtype-specific analysis revealed distinct genetic architectures for CD and UC. Leveraging multi-omics datasets, we performed a comprehensive functional post-GWAS annotation. Several therapeutic targets were identified by a multi-stage prioritization strategy, including JAK2, STAT3, IL18R1, IFNG, and CCL2, highlighting systemic immune regulation in IBD treatment. In the inflammatory injury model, we determined that increased GNA12 expression may disrupt the intestinal barrier. Cross-trait analyses and multi-omics Mendelian randomization showed potential causalities with immune-mediated diseases, cytokines, cell traits, and microorganisms. This study yields novel insights into the molecular etiology of IBD and reveals potential immunotherapy targets and pathways for medication.
Large-scale multi-trait genome-wide analysis for inflammatory bowel disease reveals new insights into its molecular mechanisms and emphasizes the roles of systemic immune regulation.
阅读:2
作者:Zhu Zijun, Shi Lei, Li Hailong, Wang Xin, Gao Jiwei, Cheng Liang, Zhang Xue
| 期刊: | Briefings in Bioinformatics | 影响因子: | 7.700 |
| 时间: | 2025 | 起止号: | 2025 Nov 1; 26(6):bbaf633 |
| doi: | 10.1093/bib/bbaf633 | ||
特别声明
1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。
2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。
3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。
4、投稿及合作请联系:info@biocloudy.com。
