GWAS和3D染色体映射识别了与荷尔蒙依赖癌症相关的多种癌症风险基因
Isela Sarahi Rivera1,2, Juliet D French1,2,3, Mainá Bitar1,3
1Cancer Research Program, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
PLoS genetics
|November 25, 2024
概括
常见的遗传因素影响多种荷尔蒙依赖性癌症 (HDC). 这项研究确定了乳腺,子宫内膜,卵巢和前列腺癌的共同风险区域和基因,揭示了潜在的治疗点.
科学领域:
- 基因组学就是基因组学.
- 癌症生物学 癌症生物学
- 分子流行病学分子流行病学
背景情况:
- 激素依赖性癌症 (HDCs) 具有共同的风险因素,这表明存在共同的潜在病因机制.
- 了解HDCs的遗传结构对于识别共享易感途径至关重要.
研究的目的:
- 研究跨多个HDCs的遗传风险变异的空间聚类.
- 确定与乳腺,子宫内膜,卵巢和前列腺癌的病因相关的共同风险区域和候选基因.
- 探索HDCs潜在的监管机制和治疗目标.
主要方法:
- 全基因组关联研究 (GWAS) 数据分析.
- 整合GWAS与表观基因组分析和促进者捕获Hi-C数据.
- 候选风险基因的注释和调控元素的识别,如lncRNAs和转录因子结合位.
主要成果:
- 确定了44个基因组区域,其中至少有两个HDC的重叠风险变异.
- 在22个多HDC区域注释了53个候选风险基因,包括新型类基因.
- 发现了影响转录因子动机的风险等位基因,并确定了 lncRNAs 作为潜在的 HDC 标.
结论:
- 共享的遗传因素有助于多个HDCs的易感性.
- 已识别的多重HDC风险基因和监管元素提供了对常见病因路径的见解.
- 候选基因代表了新的治疗策略或在HDC中药物重定位的潜在目标.
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