Mapping chromatin interactions at melanoma susceptibility loci uncovers distant cis-regulatory gene targets.

IF 8.1 1区 生物学 Q1 GENETICS & HEREDITY
Rohit Thakur, Mai Xu, Hayley Sowards, Joshuah Yon, Lea Jessop, Timothy Myers, Tongwu Zhang, Raj Chari, Erping Long, Thomas Rehling, Rebecca Hennessey, Karen Funderburk, Jinhu Yin, Mitchell J Machiela, Matthew E Johnson, Andrew D Wells, Alessandra Chesi, Struan F A Grant, Mark M Iles, Maria Teresa Landi, Matthew H Law, Jiyeon Choi, Kevin M Brown
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引用次数: 0

Abstract

Genome-wide association studies (GWASs) of melanoma risk have identified 68 independent signals at 54 loci. For most loci, specific functional variants and their respective target genes remain to be established. Capture-HiC is an assay that links fine-mapped risk variants to candidate target genes by comprehensively mapping chromatin interactions. We performed a melanoma GWAS region-focused capture-HiC assay in human primary melanocytes to identify physical interactions between fine-mapped risk variants and potential causal melanoma-susceptibility genes. Overall, chromatin-interaction data alone nominated potential causal genes for 61 of the 68 melanoma risk signals, identifying many candidates beyond those reported by previous studies. We further integrated these data with epigenomic (chromatin state, accessibility), gene expression (expression quantitative trait locus [eQTL]/transcriptome-wide association study [TWAS]), DNA methylation (methylation QTL [meQTL]/methylome-wide association study [MWAS]), and massively parallel reporter assay (MPRA) data generated from melanoma-relevant cell types to prioritize potentially cis-regulatory variants and their respective candidate gene targets. From the set of fine-mapped variants across these loci, we identified 140 prioritized credible causal variants linked to 195 candidate genes at 42 risk signals. In addition, we developed an integrative scoring system to facilitate candidate gene prioritization, integrating melanocyte and melanoma datasets. Notably, at several GWAS risk signals, we observed long-range chromatin connections (500 kb to >1 Mb) with distant candidate target genes. We validated several such cis-regulatory interactions using CRISPR inhibition, providing evidence for known cancer driver genes MDM4 and CBL, as well as the SRY-box transcription factor SOX4, as likely melanoma risk genes.

在黑色素瘤易感位点定位染色质相互作用揭示远顺调控基因靶点。
黑色素瘤风险的全基因组关联研究(GWASs)已经确定了54个位点的68个独立信号。对于大多数基因座,具体的功能变异及其各自的靶基因仍有待建立。Capture-HiC是一种通过全面绘制染色质相互作用图谱,将精细绘制的风险变异与候选靶基因联系起来的检测方法。我们在人类原代黑素细胞中进行了一项以黑色素瘤GWAS区域为重点的捕获- hic测定,以确定精细映射的风险变异和潜在的黑色素瘤易感基因之间的物理相互作用。总的来说,染色质相互作用数据单独为68种黑色素瘤风险信号中的61种指定了潜在的因果基因,确定了许多超出先前研究报告的候选基因。我们进一步将这些数据与表观基因组学(染色质状态、可及性)、基因表达(表达数量性状位点[eQTL]/全转录组关联研究[TWAS])、DNA甲基化(甲基化QTL [meQTL]/全甲基组关联研究[MWAS])以及从黑色素瘤相关细胞类型中产生的大规模平行报告基因测定(MPRA)数据进行整合,以优先考虑潜在的顺式调控变异体及其各自的候选基因靶点。从这些基因座的一组精细映射的变异中,我们确定了140个优先可靠的因果变异,这些变异与195个候选基因在42个风险信号中相关。此外,我们开发了一个综合评分系统,以促进候选基因的优先级,整合黑素细胞和黑色素瘤数据集。值得注意的是,在几个GWAS风险信号中,我们观察到远端候选靶基因的远程染色质连接(500kb到bbb1mb)。我们使用CRISPR抑制验证了几种这样的顺式调控相互作用,为已知的癌症驱动基因MDM4和CBL以及SRY-box转录因子SOX4提供了可能是黑色素瘤风险基因的证据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
14.70
自引率
4.10%
发文量
185
审稿时长
1 months
期刊介绍: The American Journal of Human Genetics (AJHG) is a monthly journal published by Cell Press, chosen by The American Society of Human Genetics (ASHG) as its premier publication starting from January 2008. AJHG represents Cell Press's first society-owned journal, and both ASHG and Cell Press anticipate significant synergies between AJHG content and that of other Cell Press titles.
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