Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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A functional genomics predictive network model identifies regulators of inflammatory bowel disease: Microarray Analysis of Human Blood and Intestinal Biopsy Samples from a Phase 2b, Double-blind, Placebo-controlled Study of Ustekinumab in Crohn's Disease


ABSTRACT: Microarray Analysis of Human Whole Blood and Intestinal Biopsy Samples from a Phase 2b, Multicenter, Randomized, Double-blind, Placebo-controlled, Parallel-group Study of Ustekinumab in Crohn’s Disease 329 Crohn's biopsies from multiple regions in the intestine of 87 anti TNFa refractory patients and blood samples from 204 patients at Week 0 prior to drug treatment are included in this study

ORGANISM(S): Homo sapiens

SUBMITTER: Eric Schadt 

PROVIDER: E-GEOD-100833 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

A functional genomics predictive network model identifies regulators of inflammatory bowel disease.

Peters Lauren A LA   Perrigoue Jacqueline J   Mortha Arthur A   Iuga Alina A   Song Won-Min WM   Neiman Eric M EM   Llewellyn Sean R SR   Di Narzo Antonio A   Kidd Brian A BA   Telesco Shannon E SE   Zhao Yongzhong Y   Stojmirovic Aleksandar A   Sendecki Jocelyn J   Shameer Khader K   Miotto Riccardo R   Losic Bojan B   Shah Hardik H   Lee Eunjee E   Wang Minghui M   Faith Jeremiah J JJ   Kasarskis Andrew A   Brodmerkel Carrie C   Curran Mark M   Das Anuk A   Friedman Joshua R JR   Fukui Yoshinori Y   Humphrey Mary Beth MB   Iritani Brian M BM   Sibinga Nicholas N   Tarrant Teresa K TK   Argmann Carmen C   Hao Ke K   Roussos Panos P   Zhu Jun J   Zhang Bin B   Dobrin Radu R   Mayer Lloyd F LF   Schadt Eric E EE  

Nature genetics 20170911 10


A major challenge in inflammatory bowel disease (IBD) is the integration of diverse IBD data sets to construct predictive models of IBD. We present a predictive model of the immune component of IBD that informs causal relationships among loci previously linked to IBD through genome-wide association studies (GWAS) using functional and regulatory annotations that relate to the cells, tissues, and pathophysiology of IBD. Our model consists of individual networks constructed using molecular data gen  ...[more]

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