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

Eur J Hum Genet. 2016 Dec;24(12):1831-1834. doi: 10.1038/ejhg.2016.120. Epub 2016 Sep 21.

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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Case-Control Studies
  • Celiac Disease / genetics*
  • Celiac Disease / metabolism
  • Duodenum / metabolism
  • Genetic Loci*
  • Glutens / metabolism
  • Humans
  • Pedigree*
  • Polymorphism, Single Nucleotide*

Substances

  • Glutens