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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2021
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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. |
format | Online Article Text |
id | pubmed-8273124 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
record_format | MEDLINE/PubMed |
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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