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Application of computational methods in genetic study ofinflammatory bowel disease 被引量:2
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作者 Jin Li Zhi Wei Hakon Hakonarson 《World Journal of Gastroenterology》 SCIE CAS 2016年第3期949-960,共12页
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. Concurr... 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. 展开更多
关键词 Inflammatory BOWEL disease Computationalmethods GENOME-WIDE association study Pathwayanalysis Gene-gene INTERACTION gene-environmentinteraction PLEIOTROPY Risk prediction
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