绘制黑色素相互作用在黑色素瘤易感部位的地图,揭示了遥远的cis调节基因点
Rohit Thakur1, Mai Xu1, Hayley Sowards1
1Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
American journal of human genetics
|May 23, 2025
概括
这项研究使用Capture-HiC将黑色素瘤风险变异与向基因联系起来,确定新的潜在因果基因和调节相互作用. 这些发现表明MDM4,CBL和SOX4与黑色素瘤的发展有关.
科学领域:
- 遗传学 是一个遗传学.
- 基因组学就是基因组学.
- 癌症生物学 癌症生物学
背景情况:
- 全基因组关联研究 (GWAS) 已经确定了与黑色素瘤风险相关的众多遗传位置.
- 大多数GWAS信号背后的特定功能变体和向基因在很大程度上是未知的.
- 了解这些遗传基础对于阐明黑色素瘤的发病过程至关重要.
研究的目的:
- 使用Capture-HiC.识别与黑色素瘤风险信号相关的功能变异和候选向基因.
- 整合多个功能性基因组数据集,以便对因果变异和基因进行强有力的优先排序.
- 在相关细胞模型中验证已识别的 cis 调节性相互作用.
主要方法:
- 在人类初级黑色素细胞中进行了捕获-HiC测定,重点关注黑色素瘤GWAS区域.
- 综合色素相互作用数据与表观基因组,基因表达 (eQTL/TWAS),DNA甲基化 (meQTL/MWAS) 和MPRA数据.
- 利用整合性评分系统和CRISPR抑制用于变异/基因优先级和相互作用验证.
主要成果:
- 染色体相互作用提名了68个黑色素瘤风险信号中的61个潜在的因果基因.
- 确定了140个优先级可信的因果变异,与42个风险信号的195个候选基因相关联.
- 验证了涉及已知癌症基因MDM4,CBL和SOX4.4的长距离cis调节相互作用.
结论:
- 捕获-HiC与多omics数据相结合,有效地将GWAS风险变异与候选黑色素瘤易感基因联系起来.
- 这种方法显著扩大了潜在的因果基因的范围,超出了之前的研究.
- 这些发现为MDM4,CBL和SOX4作为黑色素瘤风险基因提供了有力的证据,推动了我们对黑色素瘤遗传学的理解.
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