# Functional Mechanisms of T1D Risk Variants and their Target Genes using 3D Epigenomics and Single Cell Approaches

> **NIH NIH R01** · UNIVERSITY OF VIRGINIA · 2021 · $979,027

## Abstract

ABSTRACT
Type 1 diabetes (T1D) is an autoimmune disease, whose symptoms and complications result in increased
morbidity, mortality, and life-long dependence on insulin. The Type 1 Diabetes Genetics Consortium (T1DGC,
Stephen Rich, PI) conducted the largest T1D GWAS meta-analysis and identified over 40 T1D risk loci. The
T1DGC refined the T1D risk variants by fine mapping with the ImmunoChip and constructing sets of 99% credible
single nucleotide polymorphisms (SNPs) within each locus. Bioinformatic analyses of T1D-associated credible
SNPs discovered enrichment in regions involved in gene regulation of immune-relevant cell types (CD4 and CD8
T cells, CD19 B cells). Despite these discoveries on the genetic basis of T1D, the mechanisms that define
how T1D-associated SNPs contribute to disease susceptibility remain unclear. Here, we propose a
powerful and innovative approach to define function of the T1D-associated SNPs and identify their target, causal
effector genes through integrated analyses of T1D-relevant tissues. We will (Aim 1) generate an integrated 3D
map of the gene regulatory architecture of T1D susceptibility by conducting ATAC-seq, RNA-seq and whole-
genome promoter-focused Capture-C analysis on purified human cell populations; (Aim 2) perform single-cell
immunophenotyping and eQTL analysis of T1DGC samples using CITE-seq, a single-cell RNA-seq
approach guided by DNA-barcoded antibodies against lineage markers to characterize the immune cell subsets
identified in Aim 1, allowing us to focus on SNPs that are regulatory and likely contribute to T1D risk; and (Aim
3) conduct functional validation of T1D SNP-gene regulatory effects using CRISPR/Cas9 genome editing
in human immune cells to directly test whether these SNPs reside in regions that are required for T1D gene
expression using Cas9-mediated editing. Our outstanding research team provides complementary and
synergistic approaches to understanding the function and gene targets that modulate genetic risk of T1D.
Together, we will establish the mechanisms underlying contribution of T1D-associated SNPs to inflammatory
gene regulation and, by revealing the SNP-enhancer-gene link in 3D, are poised to discover novel molecular
targets for therapeutic intervention to treat or prevent T1D.

## Key facts

- **NIH application ID:** 10147070
- **Project number:** 5R01DK122586-03
- **Recipient organization:** UNIVERSITY OF VIRGINIA
- **Principal Investigator:** Struan F A Grant
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $979,027
- **Award type:** 5
- **Project period:** 2019-08-01 → 2023-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10147070

## Citation

> US National Institutes of Health, RePORTER application 10147070, Functional Mechanisms of T1D Risk Variants and their Target Genes using 3D Epigenomics and Single Cell Approaches (5R01DK122586-03). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10147070. Licensed CC0.

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