一项基于多组织,拼接的联合转录基因组范围的关联研究确定了乳腺癌易感基因
Guimin Gao1, Julian McClellan1, Alvaro N Barbeira2
1Department of Public Health Sciences, University of Chicago, Chicago, IL 60637, USA.
American journal of human genetics
|May 11, 2024
概括
这项研究引入了一项多组织关节拼接转录组范围的关联研究 (拼接-TWAS),以确定乳腺癌易感基因. 与传统方法相比,这种新的方法显著提高了基因发现,突出显示了拼接定量特征位点 (sQTLs) 的重要性.
科学领域:
- 遗传学和基因组学 遗传学和基因组学
- 癌症研究 癌症研究
- 生物信息学是一种生物信息学.
背景情况:
- 基于拼接的全转录组关联研究 (拼接-TWAS) 对识别乳腺癌易感基因有价值.
- 现有的拼接TWAS受限于仅专注于乳腺组织和单个切除的内核,从而降低了它们的检测能力.
- 全基因组关联研究 (GWAS) 已经确定了与乳腺癌风险相关的众多遗传位置.
研究的目的:
- 开发和应用多组织关节拼接-TWAS,以提高识别乳腺癌易感基因的能力.
- 整合来自多个切除的内子在各种相关组织中的拼接信号.
- 将这些发现与基于基因表达的传统TWAS进行比较,并确定新的关联.
主要方法:
- 进行了多组织关节拼接-TWAS,整合了来自11个潜在相关组织的信号.
- 利用了来自GWAS数据的大型元分析的总结统计数据,其中包括来自欧洲血统的424,650名女性的数据.
- 使用GTEx (v.8) 数据训练了拼接级预测模型,并将结果与基因表达TWAS.比较.
主要成果:
- 使用多组织关节拼接-TWAS识别了240个基因,并通过组织特异分析确定了9个额外的基因.
- 在TWAS之前未报告的62个位置发现了88个新基因,以及7个位置的17个基因远离已知的GWAS变体.
- 仅通过拼接-TWAS识别了110个基因,表明拼接定量特征位点 (sQTLs) 对许多基因的影响比表达定量特征位点 (eQTLs) 强.
结论:
- 多组织关节拼接-TWAS显著提高发现乳腺癌易感基因的发现.
- 拼接变异,特别是内部切除事件,对许多基因的乳腺癌风险起着至关重要的作用.
- 这种方法提供了对乳腺癌遗传贡献的更全面的理解,超出了传统的基因表达.
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