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IBD risk loci are enriched in multigenic regulatory modules encompassing putative causative genes

Authors :
Momozawa, Yukihide
Dmitrieva, Julia
Théâtre, Emilie
Deffontaine, Valérie
Rahmouni, Souad
Charloteaux, Benoît
Crins, François
Docampo, Elisa
Elansary, Mahmoud
Gori, Ann Stephan
Lecut, Christelle
Mariman, Rob
Mni, Myriam
Oury, Cécile
Altukhov, Ilya
Alexeev, Dmitry
Aulchenko, Yuri
Amininejad, Leila
Bouma, Gerd
Hoentjen, Frank
Löwenberg, Mark
Oldenburg, Bas
Pierik, Marieke J.
Vander Meulen-De Jong, Andrea E.
Van Der Woude, C. Janneke
Visschedijk, Marijn C.
Lathrop, Mark
Hugot, Jean Pierre
Weersma, Rinse K.
De Vos, Martine
Franchimont, Denis
Vermeire, Severine
Kubo, Michiaki
Louis, Edouard
Georges, Michel
Abraham, Clara
Achkar, Jean Paul
Ahmad, Tariq
Ananthakrishnan, Ashwin N.
Andersen, Vibeke
Anderson, Carl A.
Andrews, Jane M.
Annese, Vito
Aumais, Guy
Baidoo, Leonard
Baldassano, Robert N.
Bampton, Peter A.
Barclay, Murray
Barrett, Jeffrey C.
Bayless, Theodore M.
The International IBD Genetics Consortium
Publication Year :
2018

Abstract

GWAS have identified >200 risk loci for Inflammatory Bowel Disease (IBD). The majority of disease associations are known to be driven by regulatory variants. To identify the putative causative genes that are perturbed by these variants, we generate a large transcriptome data set (nine disease-relevant cell types) and identify 23,650 cis-eQTL. We show that these are determined by ∼9720 regulatory modules, of which ∼3000 operate in multiple tissues and ∼970 on multiple genes. We identify regulatory modules that drive the disease association for 63 of the 200 risk loci, and show that these are enriched in multigenic modules. Based on these analyses, we resequence 45 of the corresponding 100 candidate genes in 6600 Crohn disease (CD) cases and 5500 controls, and show with burden tests that they include likely causative genes. Our analyses indicate that ≥10-fold larger sample sizes will be required to demonstrate the causality of individual genes using this approach.

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.od.....10691..ac9b39a520ee0c10e36053d3ae6b3cdc