Identification of loci where DNA methylation potentially mediates genetic risk of type 1 diabetes

This abstract has open access
Abstract Summary

Background: The risk of Type 1 Diabetes (T1D) comprises genetic and environmental components, which both could be mediated by DNA methylation (DNAm). Previous studies established associations between DNAm and T1D GWAS variants, but it is unclear whether these associations indicate causation or were raised due to confounding factors or even reverse causation, i.e. whether causal variants first introduce gene expression changes which in turn cause DNAm changes and not the other way around. We systematically investigated the causal roles of DNAm in mediating common genetic risk of T1D in a large-scale population sampled longitudinally.

Methods: We first assessed whether DNAm and T1D share a common genetic influence at genome-wide scale by performing an enrichment analysis using summary statistics. Subsequently, at T1D loci we regressed 65 top GWAS nucleotide polymorphisms (SNPs) with Illumina 450k MethylationBeadChip data in the ARIES cohort where blood DNAm were measured at birth (n=844), childhood (n=846) and adolescence (n=907). Next, joint likelihood mapping was performed to identify loci where the causal variants for DNAm and T1D were shared. At these loci bi-directional two-sample Mendelian Randomization was used to assess the causal roles of DNAm. Finally, we investigated whether DNAm influence local gene expression using whole blood data from the GTEx consortium.

Results: There was a common genetic influence for both DNAm and T1D across the genome, implying that DNAm could be either on the causal pathway to T1D or a non-causal biomarker of T1D genetic risk. We found 159 proximal SNP-cytosine phosphate guanine (CpG) pairs (cis), and 7 distal SNP-CpG associations (trans) at birth, childhood, and adolescence, but DNAm did not play causal roles at most of these loci. At 5 loci, ITGB3BP, AFF3, PTPN2, CTSH and CTLA4, DNAm is potentially mediating the genetic risk of T1D mainly by influencing local gene expression.

Submission ID :
IDS4256
Submission Type
Abstract Topics

Associated Sessions

Albert Einstein College of Medicine
University of Bristol
University of Bristol
University of Bristol
University of Bristol
University of Bristol
University of Bristol

Abstracts With Same Type

Submission ID
Submission Title
Submission Topic
Submission Type
Primary Author
IDS81249
Poster Session C
Poster and flash poster
Dr Burcak Yesildag
IDS64147
Poster Session B
Poster and flash poster
Professor Leonard Harrison
IDS29151
Poster Session B
Poster and flash poster
Mr Laurits Holm
IDS83241
Poster Session C
Poster and flash poster
Dr Lenka Petruželková
IDS65212
Poster Session C
Poster and flash poster
Professor Mark Mamula
5 visits

KEY DATES

Event dates:
Thursday 25 October - Monday 29 October 2018

Abstract submission deadline:
Monday 14 May 2018

Abstract notification:
July 2018

Early registration deadline:
Monday 3 September 2018

Registration deadline:
Monday 15 October 2018

Contact
British Society for Immunology
+44 (0)20 3019 5901
congress@immunology.org