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Dense genotyping identifies and localizes multiple common and rare variant association signals in celiac disease
Authors:Trynka Gosia  Hunt Karen A  Bockett Nicholas A  Romanos Jihane  Mistry Vanisha  Szperl Agata  Bakker Sjoerd F  Bardella Maria Teresa  Bhaw-Rosun Leena  Castillejo Gemma  de la Concha Emilio G  de Almeida Rodrigo Coutinho  Dias Kerith-Rae M  van Diemen Cleo C  Dubois Patrick C A  Duerr Richard H  Edkins Sarah  Franke Lude  Fransen Karin  Gutierrez Javier  Heap Graham A R  Hrdlickova Barbara  Hunt Sarah  Izurieta Leticia Plaza  Izzo Valentina  Joosten Leo A B  Langford Cordelia  Mazzilli Maria Cristina  Mein Charles A  Midah Vandana  Mitrovic Mitja  Mora Barbara  Morelli Marinita  Nutland Sarah  Núñez Concepción
Institution:Genetics Department, University Medical Center and University of Groningen, The Netherlands.
Abstract:Using variants from the 1000 Genomes Project pilot European CEU dataset and data from additional resequencing studies, we densely genotyped 183 non-HLA risk loci previously associated with immune-mediated diseases in 12,041 individuals with celiac disease (cases) and 12,228 controls. We identified 13 new celiac disease risk loci reaching genome-wide significance, bringing the number of known loci (including the HLA locus) to 40. We found multiple independent association signals at over one-third of these loci, a finding that is attributable to a combination of common, low-frequency and rare genetic variants. Compared to previously available data such as those from HapMap3, our dense genotyping in a large sample collection provided a higher resolution of the pattern of linkage disequilibrium and suggested localization of many signals to finer scale regions. In particular, 29 of the 54 fine-mapped signals seemed to be localized to single genes and, in some instances, to gene regulatory elements. Altogether, we define the complex genetic architecture of the risk regions of and refine the risk signals for celiac disease, providing the next step toward uncovering the causal mechanisms of the disease.
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