FORGEdb:用于识别候选功能变异和发现复杂疾病的目标基因和机制的工具
Charles E Breeze1,2,3, Eric Haugen4, María Gutierrez-Arcelus5,6
1Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA. c.breeze@ucl.ac.uk.
Genome biology
|January 3, 2024
概括
全基因组关联研究通常在蛋白质编码基因之外识别疾病变异. FORGEdb是一个新的工具,可以帮助研究人员优先考虑这些调控变异,并确定功能实验的潜在基因标.
科学领域:
- 基因组学就是基因组学.
- 生物信息学是一种生物信息学.
- 分子生物学分子生物学
背景情况:
- 全基因组关联研究 (GWAS) 经常在非编码基因组区域中识别与疾病相关的变异.
- 优先考虑这些非编码变异及其目标基因的功能验证是遗传研究的一个重大挑战.
研究的目的:
- 开发一个计算工具,FORGEdb,集成多种生物数据集,以促进疾病相关监管变异的优先级.
- 为研究人员提供一种资源,以识别潜在的基因标和与数百万个遗传变异相关的调控元素.
主要方法:
- FORGEdb是作为一个独立的,基于Web的工具而开发的.
- 它集成了多个数据集,包括监管元素,转录因子结合点和基因表达数据.
- 该工具分析了超过3700万种变异,以预测它们的调控潜力,并识别相关的基因.
主要成果:
- FORGEdb提供了关于监管元素和与数百万个变异相关的转录因子结合位点的全面信息.
- 该工具识别了这些变异的潜在向基因,有助于了解疾病机制.
- FORGEdb为变体分配定量分数,使研究人员能够在功能实验中优先考虑它们.
结论:
- FORGEdb通过整合多个数据源来解决优先考虑非编码性疾病变异的挑战.
- 该工具增强了研究人员识别功能变异及其生物点的能力,加速了疾病机制的发现.
关键词:
活动按接触 (ABC)克里斯普尔 (集群定期间隔的简短的平行体重复)在DNase-seqq中使用DNase.表达方式 定量特征位置 (eQTL)功能注释功能注释基因调节 基因调节全基因组关联研究 (GWAS)大规模并行报告测试 (MPRA)监管要素 监管要素 监管要素单向导RNA (sgRNA) 是一种单向导RNA.转录因子 (TF) 是一种转录因子.变体得分的得分方式更多相关视频
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