Advances in present understanding of pathophysiologic mechanisms in inflammatory bowel disease (IBD) have been enhanced enormously through genetic approaches. IBD genetics advances have been catalyzed through large collaborative efforts, notably the NIDDK IBD Genetics Consortium (NIDDK IBDGC), comprised of a central data coordinating center (DCC) and six genetics research centers (GRCs). We present preliminary data from the Immunochip project, a large international collaborative effort, which has identified 163 loci associated to IBD. Data management for Immunochip project has been managed by the NIDDK IBDGC DCC. Importantly, the identification of such a large number of new loci increases the power to integrate complementary datasets to develop predictive models that will deepen our understanding of altered biologic pathways underlying IBD susceptibility. This proposal outlines progress gene identification and network analyses. This knowledge will be critical in more accurately prioritizin which pathways to target for the development of new therapies.
In Specific Aim 1, we propose to generate high quality IBD association datasets that are the foundation of a deeper understanding of disease pathogenesis. Integration of extremely large genome-wide association studies (GWAS), Immunochip data, and upcoming custom IBD exome chip data will be undertaken. Comparative studies in non-European ancestry IBD cohorts, including African-American and Puerto Rican IBD using both genome-wide and targeted approaches are proposed. Fine-mapping and annotation will refine the molecular basis for association signals.
In Specific Aim 2, we provide a framework for integration genetic association data with complementary datasets in order to develop increasingly improved predictive models. Priorities for biospecimens collections and major new """"""""-omics"""""""" based studies are proposed.
In Specific Aim 3, we propose to enhance and expand DCC capabilities to accommodate the accelerating pace of discovery. The DCC has played an essential in successfully managing a marked increase of responsibilities and pace of discovery. This project is highly innovative due to the scope of the project and data generated, the novel integration of complementary data and cross-disciplinary, cross-institutional and cross-consortial collaborative and training efforts.

Public Health Relevance

The goal of the NIDDK Inflammatory Bowel Disease Genetics Consortium is to advance genetic and clinical understanding of Crohn's disease and Ulcerative Colitis. The Data Coordinating Center (DCC) will facilitate scientific interaction between the genetic centers that make up the Consortium and with the scientific community, through the collection, organization and analysis of research data. The DCC plays a key role in the planning, development and implementation of the studies and objectives of the Consortium.

National Institute of Health (NIH)
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Research Project--Cooperative Agreements (U01)
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Special Emphasis Panel (ZDK1-GRB-7 (O4))
Program Officer
Karp, Robert W
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Icahn School of Medicine at Mount Sinai
Schools of Medicine
New York
United States
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Hinks, Anne; Marion, Miranda C; Cobb, Joanna et al. (2018) Brief Report: The Genetic Profile of Rheumatoid Factor-Positive Polyarticular Juvenile Idiopathic Arthritis Resembles That of Adult Rheumatoid Arthritis. Arthritis Rheumatol 70:957-962
Hui, Ken Y; Fernandez-Hernandez, Heriberto; Hu, Jianzhong et al. (2018) Functional variants in the LRRK2 gene confer shared effects on risk for Crohn's disease and Parkinson's disease. Sci Transl Med 10:
Misra, Ravi; Arebi, Naila (2017) Re: Genome-Wide Association Study Identifies African-Specific Susceptibility Loci in African Americans With Inflammatory Bowel Disease. Gastroenterology 152:2082-2083
Huang, Hailiang; Fang, Ming; Jostins, Luke et al. (2017) Fine-mapping inflammatory bowel disease loci to single-variant resolution. Nature 547:173-178
Hinks, A; Bowes, J; Cobb, J et al. (2017) Fine-mapping the MHC locus in juvenile idiopathic arthritis (JIA) reveals genetic heterogeneity corresponding to distinct adult inflammatory arthritic diseases. Ann Rheum Dis 76:765-772
Yadav, Pankaj; Ellinghaus, David; Rémy, Gaëlle et al. (2017) Genetic Factors Interact With Tobacco Smoke to Modify Risk for Inflammatory Bowel Disease in Humans and Mice. Gastroenterology 153:550-565
Kopylov, Uri; Boucher, Gabrielle; Waterman, Matti et al. (2016) Genetic Predictors of Benign Course of Ulcerative Colitis-A North American Inflammatory Bowel Disease Genetics Consortium Study. Inflamm Bowel Dis 22:2311-6
Sasaki, Mark M; Skol, Andrew D; Hungate, Eric A et al. (2016) Whole-exome Sequence Analysis Implicates Rare Il17REL Variants in Familial and Sporadic Inflammatory Bowel Disease. Inflamm Bowel Dis 22:20-7
Levine, Adam P; Pontikos, Nikolas; Schiff, Elena R et al. (2016) Genetic Complexity of Crohn's Disease in Two Large Ashkenazi Jewish Families. Gastroenterology 151:698-709
Chuang, Ling-Shiang; Villaverde, Nicole; Hui, Ken Y et al. (2016) A Frameshift in CSF2RB Predominant Among Ashkenazi Jews Increases Risk for Crohn's Disease and Reduces Monocyte Signaling via GM-CSF. Gastroenterology 151:710-723.e2

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