Abstract
The chromosome 16p13 region has been associated with several autoimmune diseases, including type 1 diabetes (T1D) and multiple sclerosis (MS). CLEC16A has been reported as the most likely candidate gene in the region, since it contains the most disease-associated single-nucleotide polymorphisms (SNPs), as well as an imunoreceptor tyrosine-based activation motif. However, here we report that intron 19 of CLEC16A, containing the most autoimmune disease-associated SNPs, appears to behave as a regulatory sequence, affecting the expression of a neighbouring gene, DEXI. The CLEC16A alleles that are protective from T1D and MS are associated with increased expression of DEXI, and no other genes in the region, in two independent monocyte gene expression data sets. Critically, using chromosome conformation capture (3C), we identified physical proximity between the DEXI promoter region and intron 19 of CLEC16A, separated by a loop of >150 kb. In reciprocal experiments, a 20 kb fragment of intron 19 of CLEC16A, containing SNPs associated with T1D and MS, as well as with DEXI expression, interacted with the promotor region of DEXI but not with candidate DNA fragments containing other potential causal genes in the region, including CLEC16A. Intron 19 of CLEC16A is highly enriched for transcription-factor-binding events and markers associated with enhancer activity. Taken together, these data indicate that although the causal variants in the 16p13 region lie within CLEC16A, DEXI is an unappreciated autoimmune disease candidate gene, and illustrate the power of the 3C approach in progressing from genome-wide association studies results to candidate causal genes.
Original language | English |
---|---|
Pages (from-to) | 322-333 |
Number of pages | 12 |
Journal | Human Molecular Genetics |
Volume | 21 |
Issue number | 2 |
Early online date | 11 Oct 2011 |
DOIs | |
Publication status | Published - 15 Jan 2012 |
Bibliographical note
© The Author 2011. Published by Oxford University Press.Funding Information:
We acknowledge the use of DNA from The UK Blood Services collection of Common Controls (UKBS collection), funded by the Wellcome Trust grant 076113/C/04/Z, by the Wellcome Trust/Juvenile Diabetes Research Foundation grant 061858 and by the National Institute of Health Research of England. The collection was established as part of the Wellcome Trust Case-Control Consortium. Funding for the project was provided by the Wellcome Trust under award 076113. L.J.D. is supported by a Wellcome Trust Intermediate Clinical Fellowship (082549/Z/07/Z). C.W. is supported by a Wellcome Trust Career Development Fellowship (089989/Z/09/Z). K.L.A. is supported by a 4-year Wellcome Trust CIMR PhD studentship. N.K.W. is supported by the Medical Research Council. N.S. and A.A. are supported by King Saud bin Abdulaziz University of Health Sciences and the Saudi Ministry for Higher Education. This work was funded by the Juvenile Diabetes Research Foundation International, the Wellcome Trust and the National Institute for Health Research Cambridge Biomedical Centre. The Cambridge Institute for Medical Research (CIMR) is in receipt of a Wellcome Trust Strategic Award (079895). The Gutenberg Health Study is funded through the government of Rheinland-Pfalz (Stiftung Rheinland Pfalz für Innovation, contract number AZ 961-386261/733), the research programs Wissen schafft Zukunft and Schwerpunkt Vaskuläre Prävention of the Johannes Gutenberg-University of Mainz and its contract with Boehringer Ingelheim and PHILIPS Medical Systems including an unrestricted grant for the Gutenberg Health Study. Specifically, the research reported in this article was supported by the National Genome Network NGFNplus (contract number project A3 01GS0833) by the Federal Ministry of Education and Research, Germany. Funding to pay the Open Access publication charges for this article was provided by the Wellcome Trust.
Keywords
- Autoimmune Diseases/genetics
- Chromosomes, Human, Pair 16
- DNA/genetics
- DNA-Binding Proteins/genetics
- Humans
- Membrane Proteins/genetics
- Monocytes/metabolism
- Polymerase Chain Reaction
- Polymorphism, Single Nucleotide
- Quantitative Trait Loci