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原发性硬化性胆管炎遗传风险位点的精细映射和分子特征。

Fine-mapping and molecular characterisation of primary sclerosing cholangitis genetic risk loci.

机构信息

Wellcome Sanger Institute, Hinxton, Cambridge, UK.

University of Cambridge, Cambridge, UK.

出版信息

Nat Commun. 2024 Nov 6;15(1):9594. doi: 10.1038/s41467-024-53602-w.

Abstract

Genome-wide association studies of primary sclerosing cholangitis have identified 23 susceptibility loci. The majority of these loci reside in non-coding regions of the genome and are thought to exert their effect by perturbing the regulation of nearby genes. Here, we aim to identify these genes to improve the biological understanding of primary sclerosing cholangitis, and nominate potential drug targets. We first build an eQTL map for six primary sclerosing cholangitis-relevant T-cell subsets obtained from the peripheral blood of primary sclerosing cholangitis and ulcerative colitis patients. These maps identify 10,459 unique eGenes, 87% of which are shared across all six primary sclerosing cholangitis T-cell types. We then search for colocalisations between primary sclerosing cholangitis loci and eQTLs and undertake Bayesian fine-mapping to identify disease-causing variants. In this work, colocalisation analyses nominate likely primary sclerosing cholangitis effector genes and biological mechanisms at five non-coding (UBASH3A, PRKD2, ETS2 and AP003774.1/CCDC88B) and one coding (SH2B3) primary sclerosing cholangitis loci. Through fine-mapping we identify likely causal variants for a third of all primary sclerosing cholangitis-associated loci, including two to single variant resolution.

摘要

全基因组关联研究已经确定了原发性硬化性胆管炎的 23 个易感性位点。这些位点中的大多数位于基因组的非编码区域,被认为通过干扰附近基因的调控来发挥作用。在这里,我们旨在鉴定这些基因,以提高对原发性硬化性胆管炎的生物学认识,并提名潜在的药物靶点。我们首先构建了来自原发性硬化性胆管炎和溃疡性结肠炎患者外周血的六个原发性硬化性胆管炎相关 T 细胞亚群的 eQTL 图谱。这些图谱确定了 10459 个独特的 eGenes,其中 87%在所有六种原发性硬化性胆管炎 T 细胞类型中共享。然后,我们搜索原发性硬化性胆管炎位点和 eQTL 之间的共定位,并进行贝叶斯精细映射以识别致病变异。在这项工作中,共定位分析提名了五个非编码(UBASH3A、PRKD2、ETS2 和 AP003774.1/CCDC88B)和一个编码(SH2B3)原发性硬化性胆管炎位点的可能原发性硬化性胆管炎效应基因和生物学机制。通过精细映射,我们确定了所有原发性硬化性胆管炎相关位点的三分之一的可能因果变异,包括两个到单个变异分辨率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d051/11541731/4435182c94ad/41467_2024_53602_Fig1_HTML.jpg

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