Application of computational methods in genetic study of inflammatory bowel disease

Document Type

Article

Publication Date

1-21-2016

Abstract

Genetic factors play an important role in the etiology of inflammatory bowel disease (IBD). The launch of genome-wide association study (GWAS) represents a landmark in the genetic study of human complex disease. Concurrently, computational methods have undergone rapid development during the past a few years, which led to the identification of numerous disease susceptibility loci. IBD is one of the successful examples of GWAS and related analyses. A total of 163 genetic loci and multiple signaling pathways have been identified to be associated with IBD. Pleiotropic effects were found for many of these loci; and risk prediction models were built based on a broad spectrum of genetic variants. Important gene-gene, gene-environment interactions and key contributions of gut microbiome are being discovered. Here we will review the different types of analyses that have been applied to IBD genetic study, discuss the computational methods for each type of analysis, and summarize the discoveries made in IBD research with the application of these methods.

Identifier

84961304323 (Scopus)

Publication Title

World Journal of Gastroenterology

External Full Text Location

https://doi.org/10.3748/wjg.v22.i3.949

e-ISSN

22192840

ISSN

10079327

PubMed ID

26811639

First Page

949

Last Page

960

Issue

3

Volume

22

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