Since the discovery of the first Crohn’s disease (CD) gene NOD2 in 2001, 140 genetic loci have been found in whites using high-throughput genome-wide association studies. Several genes influence the CD subphenotypes and treatment response. With the observations of increasing prevalence in Asia and developing countries and the incomplete explanation of CD variance, other underexplored areas need to be integrated through novel methodologies. Algorithms that incorporate specific genetic risk alleles with other biomarkers will be developed and used to predict CD disease course, complications, and response to specific therapies, allowing precision medicine to become real in CD.
Key points
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Since the discovery of first Crohn’s disease (CD) gene NOD2 , at least additional 140 genetic loci have been found associated with CD.
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Several CD-related genes can influence the CD disease location, behavior, need for surgery, extra-intestinal manifestations, and response to anti-tumor necrosis factor.
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Many CD genes known in Caucasians are shared across several non-European populations.
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The globally increasing prevalence of inflammatory bowel disease for the past decade, especially in Asia and developing countries, suggests the role of gene-environment interaction factors.
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In the future, algorithms incorporating genome, microbiome, environmental factors, and epigenome will be used to predict disease course, prognosis, and personalized therapeutic strategies in CD.

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