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.
Mapping chromatin interactions at melanoma susceptibility loci uncovers distant cis-regulatory gene targets.
通过绘制黑色素瘤易感基因位点的染色质相互作用图谱,可以发现远端顺式调控基因靶点
阅读:11
作者:Thakur Rohit, Xu Mai, Sowards Hayley, Yon Joshuah, Jessop Lea, Myers Timothy, Zhang Tongwu, Chari Raj, Long Erping, Rehling Thomas, Hennessey Rebecca, Funderburk Karen, Yin Jinhu, Machiela Mitchell J, Johnson Matthew E, Wells Andrew D, Chesi Alessandra, Grant Struan F A, Iles Mark M, Landi Maria Teresa, Law Matthew H, Choi Jiyeon, Brown Kevin M
| 期刊: | American Journal of Human Genetics | 影响因子: | 8.100 |
| 时间: | 2025 | 起止号: | 2025 Jul 3; 112(7):1625-1648 |
| doi: | 10.1016/j.ajhg.2025.04.015 | 研究方向: | 肿瘤 |
特别声明
1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。
2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。
3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。
4、投稿及合作请联系:info@biocloudy.com。
