Literature DB >> 27650971

Ancestry-based stratified analysis of Immunochip data identifies novel associations with celiac disease.

Koldo Garcia-Etxebarria1, Amaia Jauregi-Miguel1, Irati Romero-Garmendia1, Leticia Plaza-Izurieta1, Maria Legarda2, Iñaki Irastorza2, Jose Ramon Bilbao1.   

Abstract

To identify candidate genes in celiac disease (CD), we reanalyzed the whole Immunochip CD cohort using a different approach that clusters individuals based on immunoancestry prior to disease association analysis, rather than by geographical origin. We detected 636 new associated SNPs (P<7.02 × 10-07) and identified 5 novel genomic regions, extended 8 others previously identified and also detected 18 isolated signals defined by one or very few significant SNPs. To test whether we could identify putative candidate genes, we performed expression analyses of several genes from the top novel region (chr2:134533564-136169524), from a previously identified locus that is now extended, and a gene marked by an isolated SNP, in duodenum biopsies of active and treated CD patients, and non-celiac controls. In the largest novel region, CCNT2 and R3HDM1 were constitutively underexpressed in disease, even after gluten removal. Moreover, several genes within this region were coexpressed in patients, but not in controls. Other novel genes like KIF21B, REL and SORD also showed altered expression in active disease. Apart from the identification of novel CD loci, these results suggest that ancestry-based stratified analysis is an efficient strategy for association studies in complex diseases.

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Year:  2016        PMID: 27650971      PMCID: PMC5117923          DOI: 10.1038/ejhg.2016.120

Source DB:  PubMed          Journal:  Eur J Hum Genet        ISSN: 1018-4813            Impact factor:   4.246


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