Fine-mapping, trans-ancestral and genomic analyses identify causal variants, cells, genes and drug targets for type 1 diabetes.

Robertson CC., Inshaw JRJ., Onengut-Gumuscu S., Chen W-M., Santa Cruz DF., Yang H., Cutler AJ., Crouch DJM., Farber E., Bridges SL., Edberg JC., Kimberly RP., Buckner JH., Deloukas P., Divers J., Dabelea D., Lawrence JM., Marcovina S., Shah AS., Greenbaum CJ., Atkinson MA., Gregersen PK., Oksenberg JR., Pociot F., Rewers MJ., Steck AK., Dunger DB., Type 1 Diabetes Genetics Consortium ., Wicker LS., Concannon P., Todd JA., Rich SS.

We report the largest and most diverse genetic study of type 1 diabetes (T1D) to date (61,427 participants), yielding 78 genome-wide-significant (P < 5 × 10-8) regions, including 36 that are new. We define credible sets of T1D-associated variants and show that they are enriched in immune-cell accessible chromatin, particularly CD4+ effector T cells. Using chromatin-accessibility profiling of CD4+ T cells from 115 individuals, we map chromatin-accessibility quantitative trait loci and identify five regions where T1D risk variants co-localize with chromatin-accessibility quantitative trait loci. We highlight rs72928038 in BACH2 as a candidate causal T1D variant leading to decreased enhancer accessibility and BACH2 expression in T cells. Finally, we prioritize potential drug targets by integrating genetic evidence, functional genomic maps and immune protein-protein interactions, identifying 12 genes implicated in T1D that have been targeted in clinical trials for autoimmune diseases. These findings provide an expanded genomic landscape for T1D.

DOI

10.1038/s41588-021-00880-5

Type

Journal article

Publication Date

2021-07-01T00:00:00+00:00

Volume

53

Pages

962 - 971

Total pages

9

Addresses

Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA.

Keywords

Type 1 Diabetes Genetics Consortium, CD4-Positive T-Lymphocytes, Humans, Diabetes Mellitus, Type 1, Genetic Predisposition to Disease, Chromosome Mapping, Protein Interaction Mapping, Genomics, Autoimmunity, Gene Expression, Alleles, Genetic Variation, Drug Discovery, Molecular Targeted Therapy

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