Genetic Predictors of Medically Refractory Ulcerative Colitis

Overview

Journal Inflamm Bowel Dis

Publisher Oxford University Press

Specialty Gastroenterology

Date 2010 Sep 18

PMID 20848476

Citations 67

Authors

Talin Haritunians

Kent D Taylor

Stephan R Targan

Marla Dubinsky

Andrew Ippoliti

Soonil Kwon

Xiuqing Guo

Gil Y Melmed

Dror Berel

Emebet Mengesha

Bruce M Psaty

Nicole L Glazer

Eric A Vasiliauskas

Jerome I Rotter

Phillip R Fleshner

Dermot P B McGovern

Affiliations

Soon will be listed here.

Abstract

Background: Acute severe ulcerative colitis (UC) remains a significant clinical challenge and the ability to predict, at an early stage, those individuals at risk of colectomy for medically refractory UC (MR-UC) would be a major clinical advance. The aim of this study was to use a genome-wide association study (GWAS) in a well-characterized cohort of UC patients to identify genetic variation that contributes to MR-UC.

Methods: A GWAS comparing 324 MR-UC patients with 537 non-MR-UC patients was analyzed using logistic regression and Cox proportional hazards methods. In addition, the MR-UC patients were compared with 2601 healthy controls.

Results: MR-UC was associated with more extensive disease (P = 2.7 × 10(-6)) and a positive family history of UC (P = 0.004). A risk score based on the combination of 46 single nucleotide polymorphisms (SNPs) associated with MR-UC explained 48% of the variance for colectomy risk in our cohort. Risk scores divided into quarters showed the risk of colectomy to be 0%, 17%, 74%, and 100% in the four groups. Comparison of the MR-UC subjects with healthy controls confirmed the contribution of the major histocompatibility complex to severe UC (peak association: rs17207986, P = 1.4 × 10(-16)) and provided genome-wide suggestive association at the TNFSF15 (TL1A) locus (peak association: rs11554257, P = 1.4 × 10(-6)).

Conclusions: A SNP-based risk scoring system, identified here by GWAS analyses, may provide a useful adjunct to clinical parameters for predicting the natural history of UC. Furthermore, discovery of genetic processes underlying disease severity may help to identify pathways for novel therapeutic intervention in severe UC.

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