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

被引:0
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作者
Catherine C. Robertson
Jamie R. J. Inshaw
Suna Onengut-Gumuscu
Wei-Min Chen
David Flores Santa Cruz
Hanzhi Yang
Antony J. Cutler
Daniel J. M. Crouch
Emily Farber
S. Louis Bridges
Jeffrey C. Edberg
Robert P. Kimberly
Jane H. Buckner
Panos Deloukas
Jasmin Divers
Dana Dabelea
Jean M. Lawrence
Santica Marcovina
Amy S. Shah
Carla J. Greenbaum
Mark A. Atkinson
Peter K. Gregersen
Jorge R. Oksenberg
Flemming Pociot
Marian J. Rewers
Andrea K. Steck
David B. Dunger
Linda S. Wicker
Patrick Concannon
John A. Todd
Stephen S. Rich
机构
[1] University of Virginia,Center for Public Health Genomics
[2] University of Virginia,Department of Biochemistry and Molecular Genetics
[3] University of Oxford,JDRF/Wellcome Diabetes and Inflammation Laboratory, Wellcome Centre for Human Genetics, Nuffield Department of Medicine, NIHR Oxford Biomedical Research Centre
[4] University of Virginia,Department of Public Health Sciences
[5] Department of Medicine,Division of Rheumatology
[6] Hospital for Special Surgery,Division of Rheumatology, Department of Medicine
[7] Weill Cornell Medical College,Division of Clinical Immunology and Rheumatology, Department of Medicine
[8] University of Alabama at Birmingham,Center for Translational Immunology
[9] Benaroya Research Institute,Division of Health Services Research, Department of Foundations of Medicine
[10] Clinical Pharmacology,Department of Research and Evaluation
[11] William Harvey Research Institute,Northwest Lipid Metabolism and Diabetes Research Laboratories
[12] Barts and the London School of Medicine and Dentistry,Center for Interventional Immunology
[13] Queen Mary University of London,Diabetes Program
[14] Princess Al-Jawhara Al-Brahim Centre of Excellence in Research of Hereditary Disorders (PACER-HD),Department of Pathology, Immunology, and Laboratory Medicine
[15] King Abdulaziz University,Robert S. Boas Center for Genomics and Human Genetics, Feinstein Institutes for Medical Research
[16] New York University Long Island School of Medicine,Department of Neurology and Weill Institute for Neurosciences
[17] Colorado School of Public Health and Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center,Department of Pediatrics
[18] University of Colorado Anschutz Medical Campus,Institute of Clinical Medicine, Faculty of Health and Medical Sciences
[19] Kaiser Permanente Southern California,Barbara Davis Center for Diabetes, School of Medicine
[20] University of Washington,Department of Paediatrics
[21] Cincinnati Children’s Hospital Medical Center and the University of Cincinnati,Wellcome Trust Medical Research Council Institute of Metabolic Science
[22] Benaroya Research Institute,Genetics Institute
[23] Benaroya Research Institute,undefined
[24] University of Florida,undefined
[25] Northwell Health,undefined
[26] University of California at San Francisco,undefined
[27] Herlev University Hospital,undefined
[28] University of Copenhagen,undefined
[29] Type 1 Diabetes Biology,undefined
[30] Department of Clinical Research,undefined
[31] Steno Diabetes Center Copenhagen,undefined
[32] University of Colorado Anschutz Medical Campus,undefined
[33] University of Cambridge,undefined
[34] University of Cambridge,undefined
[35] University of Florida,undefined
[36] Medpace Reference Laboratories,undefined
来源
Nature Genetics | 2021年 / 53卷
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摘要
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.
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页码:962 / 971
页数:9
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