bioRxivGenomicsPreprint
Multiome-seq links inflammatory bowel disease polygenic risk to TNF inhibitor response
Zi F. YangiD, Joseph A. Wayman, Nicholas K. Denson, Elizabeth B. Angerman, Erin L. BonkowskiiD, Ingrid Jurickova, Julia Smith, Seyifunmi M. Owoeye, Akshata N. Rudrapatna, Lois G. ParksiD, Ryan Murphy, Xiaoting CheniD, Lucinda P. LawsoniD, Anthony T. BejjaniiD, Lauren Erdman, Sreeja ParameswaraniD, Michael KotliariD, Sarah J. PotteriD, Siva Athitya Lakshamana Vijayarajan, Vidya ChidambaraniD, Artem BarskiiD, Kelli L. VanDusseniD, Alexander Gerhard MiethkeiD, Oscar F. Lopez‐NuneziD, Margaret H. CollinsiD, , Emily R. MiraldiiD
Abstract
Inflammatory Bowel Disease (IBD) is a chronic autoinflammatory disorder with rising incidence in pediatrics. TNFa inhibition (TNFi) is the first-line biologic therapy in children, but many do not achieve mucosal healing. Identifying which patients will benefit from TNFi and the underlying nonresponse mechanisms is critical. We built a novel resource: whole genome sequencing linked to multiome-seq (single-nuclei transcriptome and chromatin accessibility) of intestinal biopsies from a cohort of children with IBD, whose TNFi response was defined by mucosal healing. Our study uncovers links between IBD genetic risk and TNFi response. First, classifiers integrating genetic data with clinical variables identified the IBD polygenic risk score as a top predictor of TNFi response. Second, multiome-seq analysis implicated IBD risk variants in persistent cytokine signaling in monocytes, macrophage and fibroblasts of nonresponders. These data reveal genetic mechanisms of treatment response in pediatric IBD and suggest alternative therapeutic approaches for TNFi nonresponders.
- organism: human
- assay: multiome
- assay: whole-genome sequencing
- research focus: gene regulatory network inference
- research focus: differential expression
- approach: statistical model
- Citations
- 5
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