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TIGER:人类胰岛的基因表达调控变异景观。

TIGER: The gene expression regulatory variation landscape of human pancreatic islets.

机构信息

Life Sciences Department, Barcelona Supercomputing Center (BSC), Barcelona 08034, Spain.

ULB Center for Diabetes Research, Université Libre de Bruxelles, Brussels 1070, Belgium; Interuniversity Institute of Bioinformatics in Brussels (IB2), Brussels 1050, Belgium.

出版信息

Cell Rep. 2021 Oct 12;37(2):109807. doi: 10.1016/j.celrep.2021.109807.

Abstract

Genome-wide association studies (GWASs) identified hundreds of signals associated with type 2 diabetes (T2D). To gain insight into their underlying molecular mechanisms, we have created the translational human pancreatic islet genotype tissue-expression resource (TIGER), aggregating >500 human islet genomic datasets from five cohorts in the Horizon 2020 consortium T2DSystems. We impute genotypes using four reference panels and meta-analyze cohorts to improve the coverage of expression quantitative trait loci (eQTL) and develop a method to combine allele-specific expression across samples (cASE). We identify >1 million islet eQTLs, 53 of which colocalize with T2D signals. Among them, a low-frequency allele that reduces T2D risk by half increases CCND2 expression. We identify eight cASE colocalizations, among which we found a T2D-associated SLC30A8 variant. We make all data available through the TIGER portal (http://tiger.bsc.es), which represents a comprehensive human islet genomic data resource to elucidate how genetic variation affects islet function and translates into therapeutic insight and precision medicine for T2D.

摘要

全基因组关联研究(GWAS)鉴定了数百个与 2 型糖尿病(T2D)相关的信号。为了深入了解其潜在的分子机制,我们创建了转化人类胰腺胰岛基因型组织表达资源(TIGER),汇集了来自 2020 年地平线联盟 T2DSystems 五个队列的超过 500 个人胰岛基因组数据集。我们使用四个参考面板进行基因型推断,并对队列进行荟萃分析,以提高表达数量性状基因座(eQTL)的覆盖范围,并开发一种跨样本组合等位基因特异性表达的方法(cASE)。我们鉴定了超过 100 万个胰岛 eQTL,其中 53 个与 T2D 信号重叠。其中,降低 T2D 风险一半的低频等位基因增加了 CCND2 的表达。我们鉴定了 8 个 cASE 共定位,其中我们发现了一个与 T2D 相关的 SLC30A8 变体。我们通过 TIGER 门户(http://tiger.bsc.es)提供所有数据,这是一个全面的人类胰岛基因组数据资源,用于阐明遗传变异如何影响胰岛功能,并转化为 T2D 的治疗见解和精准医学。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc23/8864863/8d3db1ce4eef/nihms-1747907-f0002.jpg

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