Back

Exome sequencing directly implicates 68 genes in inflammatory bowel disease

Zhu, R.; Zhang, Q.; Yuan, K.; Zhang, R.; Turvey, A. K.; Stevens, C. R.; Fachal, L.; IIBDGC Sequencing Group, ; Ahmad, T.; Bel Kok, K.; Bernstein, C. N.; Bokemeyer, B.; Brant, S. R.; Brooks, J.; Butterworth, J.; Cho, J. H.; Clark, K.; Cummings, F.; Duerr, R. H.; Ennis, S.; Farkkila, M.; Faubion, W. A.; Foley, S.; Franchimont, D.; Franke, A.; Hancock, L.; Hart, A.; Hooper, P.; Irving, P.; Jarvis, M.; Johnston, E.; Karlson, E. W.; Kemp, C.; Kennedy, N.; Kupcinskas, J.; Lamb, C.; Lees, C.; Lewis, J.; Li, A.; Limdi, J.; Loescher, B.-S.; Louis, E.; McCauley, J. L.; McGovern, D.; McLaughlin, J.; Moa

2026-05-12 genetic and genomic medicine
10.64898/2026.05.08.26352648 medRxiv
Show abstract

Inflammatory bowel disease (IBD) is a chronic immune-mediated disorder of the gastrointestinal tract whose genetic basis is only partly resolved because most risk variants identified by genome-wide association studies (GWAS) lie in non-coding regions, limiting direct gene assignment and biological interpretation1,2. Here we analysed whole-exome and whole-genome sequencing data from 86,213 cases and 478,363 controls to define the contribution of protein-altering variation to IBD susceptibility. We identify 68 genes directly implicated by coding variation, including genes supported by single-variant associations and ultra-rare mutational burden. 57 of these genes lie within regions previously highlighted by GWAS, indicating convergence of regulatory and protein-altering evidence in IBD. The implicated genes point to coherent biological themes, including post-transcriptional control of inflammatory programmes, epithelial restitution, and calibrated immune pathway signalling, and nominate targets with therapeutic relevance. These results show that large-scale sequencing can resolve disease genes and pathways that remain ambiguous from non-coding association alone, providing a more direct route from human genetics to biological insight and therapeutic hypotheses.

Matching journals

The top 1 journal accounts for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.