Conflict of interest: The authors have declared no conflicts of interest.
Review article: inflammatory bowel disease and genetics
Article first published online: 7 DEC 2007
Alimentary Pharmacology & Therapeutics
Volume 26, Issue Supplement s2, pages 57–65, December 2007
How to Cite
WEERSMA, R. K., VAN DULLEMEN, H. M., VAN DER STEEGE, G., NOLTE, I. M., KLEIBEUKER, J. H. and DIJKSTRA, G. (2007), Review article: inflammatory bowel disease and genetics. Alimentary Pharmacology & Therapeutics, 26: 57–65. doi: 10.1111/j.1365-2036.2007.03476.x
This article appeared as part of a supplement sponsored by Nycomed bv.
- Issue published online: 7 DEC 2007
- Article first published online: 7 DEC 2007
- Publication data Accepted 26 August 2007
Introduction Inflammatory bowel disease (IBD) comprising ulcerative colitis (UC) and Crohn's disease (CD) is multigenic disorder. Tremendous progress has been achieved in unravelling the genetic background of IBD. It has led to the discovery of mutations in NOD2 associated with ileal CD and numerous other genes have been found to be associated with IBD susceptibility.
Methods A review of the literature on the genetic background of IBD was performed.
Results It is only partially understood how mutations in NOD2 lead to CD. Mouse models, in vitro data and studies in humans offer conflicting data as regards whether there is a loss or gain of function of NOD2 in CD. Several additional genes have been identified of which only a few are currently being recognized as potential disease causing or disease modifying genes. Promising candidate genes include TLR4, MDR1, NOD1 (CARD4), DLG5 as well as the IBD5 locus including SLC22A4/5.
Conclusions Although genetic research has not yet led to a better prediction of the disease course or patient selection for medical therapy, remarkable progress has been made in the understanding of the pathogenesis of IBD. For future genetic research, accurate phenotyping of patients is very important and large population-based cohorts are needed. Eventually, genetic research may be able to classify different disease phenotypes on a more detailed molecular basis and may provide important contributions in the development of new therapeutic approaches.