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

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 novel. We define credible sets of T1D-associated variants and show they are enriched in immune cell-accessible ch...

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Detalles Bibliográficos
Autores principales: Robertson, Catherine C., Inshaw, Jamie R. J., Onengut-Gumuscu, Suna, Chen, Wei-Min, Santa Cruz, David Flores, Yang, Hanzhi, Cutler, Antony J., Crouch, Daniel J. M., Farber, Emily, Bridges, S. Louis, Edberg, Jeffrey C., Kimberly, Robert P., Buckner, Jane H., Deloukas, Panos, Divers, Jasmin, Dabelea, Dana, Lawrence, Jean M., Marcovina, Santica, Shah, Amy S., Greenbaum, Carla J., Atkinson, Mark A., Gregersen, Peter K., Oksenberg, Jorge R., Pociot, Flemming, Rewers, Marian J., Steck, Andrea K., Dunger, David B., Wicker, Linda S., Concannon, Patrick, Todd, John A., Rich, Stephen S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8273124/
https://www.ncbi.nlm.nih.gov/pubmed/34127860
http://dx.doi.org/10.1038/s41588-021-00880-5
Descripción
Sumario: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 novel. We define credible sets of T1D-associated variants and show 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 (caQTLs) and identify five regions where T1D risk variants colocalize with caQTLs. 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.