生物
染色质
数量性状位点
遗传学
增强子
基因
计算生物学
效应器
全基因组关联研究
表观遗传学
免疫系统
单核苷酸多态性
基因组
基因表达
DNA甲基化
基因型
免疫学
作者
Catherine C. Robertson,Jamie Inshaw,Suna Önengüt-Gümüşcü,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 M. Marcovina,Amy S. Shah,Carla J. Greenbaum
出处
期刊:Nature Genetics
[Nature Portfolio]
日期:2021-06-14
卷期号:53 (7): 962-971
被引量:203
标识
DOI:10.1038/s41588-021-00880-5
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. A large-scale genetic analysis of type 1 diabetes identifies new susceptibility variants, highlights potential regulatory mechanisms and provides genetic support for therapeutic targets for immune intervention.
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