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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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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
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author 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.
author_facet 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.
author_sort Robertson, Catherine C.
collection PubMed
description 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.
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spelling pubmed-82731242021-12-14 Fine-mapping, trans-ancestral, and genomic analyses identify causal variants, cells, genes, and drug targets for type 1 diabetes 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. Nat Genet Article 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. 2021-06-14 2021-07 /pmc/articles/PMC8273124/ /pubmed/34127860 http://dx.doi.org/10.1038/s41588-021-00880-5 Text en http://www.nature.com/authors/editorial_policies/license.html#termsUsers may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms
spellingShingle Article
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.
Fine-mapping, trans-ancestral, and genomic analyses identify causal variants, cells, genes, and drug targets for type 1 diabetes
title Fine-mapping, trans-ancestral, and genomic analyses identify causal variants, cells, genes, and drug targets for type 1 diabetes
title_full Fine-mapping, trans-ancestral, and genomic analyses identify causal variants, cells, genes, and drug targets for type 1 diabetes
title_fullStr Fine-mapping, trans-ancestral, and genomic analyses identify causal variants, cells, genes, and drug targets for type 1 diabetes
title_full_unstemmed Fine-mapping, trans-ancestral, and genomic analyses identify causal variants, cells, genes, and drug targets for type 1 diabetes
title_short Fine-mapping, trans-ancestral, and genomic analyses identify causal variants, cells, genes, and drug targets for type 1 diabetes
title_sort fine-mapping, trans-ancestral, and genomic analyses identify causal variants, cells, genes, and drug targets for type 1 diabetes
topic Article
url 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
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