Inherited genetic risk is a major component of Type I diabetes (T1D). Major international research efforts have identified a large number of T1D susceptibility genes through genome wide association studies (GWAS). Despite these advances, in nearly all cases GWAS """"""""hits"""""""" have not yielded insight into protein coding alterations but rather are presumed to reflect regulatory SNPs or haplotypes that have refractory to detection. To address the intractable problem of missing hereditability in the post-GWAS era we have assembled a uniquely qualified interdisciplinary team, both to extract maximum information from GWAS and to pursue """"""""post-GWAS"""""""" pathogenic epigenetic events. Our innovative approach to this question focuses on both aberrations of T cells and end- organ vulnerability. We have assembled both T1D immunologists and beta cell biologists to team with molecular geneticists/epigeneticists and an experienced bioinformatician in a systems approach to identify therapeutically targetable genome wide epigenetic events in the relevant cytotoxic T cells and their targets. Using mouse models and human subjects recruited through the diabetes clinical centers at Columbia/Yale, T1D specific epigenetic hits will be identified with clinical predictive utility and mechanistic importance. Therapeutic opportunities for reversal will be pursued using novel antisense approaches. Our approach has already identified key epigenetically regulated immunological targets modulating tolerance (CD3, PD-1), and has developed pioneering T1D monitoring tools to define the prediabetic window of insulitis (hypomethylated insulin). Novel epigenetic-based therapeutic approaches are proposed and tested that represent an innovative strategy for inducing endogenous anti-inflammatory isoforms, including endogenous soluble cytokine receptors and ligand independent inhibitory costimulatory molecules. In addition, we will use allele-specific mapping of DNA methylation and gene expression to help extract maximum information from GWAS and re-sequencing data for T1D susceptibility loci. In sum this project will identify genetic and epigenetic events responsible for T1D susceptibility and disease progression, and pursue therapeutic approaches directed at known and novel genetic and epigenetic targets.

Public Health Relevance

Heritable risk in Type 1 diabetes has been extensively studied but remains poorly defined. We will use epigenetic tools to bolster the genetic data, and to find genetic variants that are responsible for aberrant activity of killer T cells and the vulnerability of the end organ islet cells. Treatment opportunities to correct genetically and epigenetically dysregulated genes will be pursued with antisense approaches.

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Type 1 Diabetes Targeted Research Award (DP3)
Project #
1DP3DK094400-01
Application #
8244204
Study Section
Special Emphasis Panel (ZDK1-GRB-J (O1))
Program Officer
Blondel, Olivier
Project Start
2011-09-20
Project End
2015-08-31
Budget Start
2011-09-20
Budget End
2015-08-31
Support Year
1
Fiscal Year
2011
Total Cost
$6,608,013
Indirect Cost
Name
Columbia University (N.Y.)
Department
Pathology
Type
Schools of Medicine
DUNS #
621889815
City
New York
State
NY
Country
United States
Zip Code
10032
Do, Catherine; Shearer, Alyssa; Suzuki, Masako et al. (2017) Genetic-epigenetic interactions in cis: a major focus in the post-GWAS era. Genome Biol 18:120
Do, Catherine; Lang, Charles F; Lin, John et al. (2016) Mechanisms and Disease Associations of Haplotype-Dependent Allele-Specific DNA Methylation. Am J Hum Genet 98:934-955
Romer, Anthony I; Sussel, Lori (2015) Pancreatic islet cell development and regeneration. Curr Opin Endocrinol Diabetes Obes 22:255-64
Arnes, Luis; Sussel, Lori (2015) Epigenetic modifications and long noncoding RNAs influence pancreas development and function. Trends Genet 31:290-9
Usmani-Brown, Sahar; Lebastchi, Jasmin; Steck, Andrea K et al. (2014) Analysis of ?-cell death in type 1 diabetes by droplet digital PCR. Endocrinology 155:3694-8