一个多样化的人类队伍的长期读取的转录学揭示了基因注释中广泛的祖先偏见
Pau Clavell-Revelles1,2,3, Fairlie Reese1, Sílvia Carbonell-Sala2
1Life Sciences Department, Barcelona Supercomputing Center (BSC), Barcelona, Catalonia.
bioRxiv : the preprint server for biology
|April 1, 2025
概括
目前人类基因注释缺乏多样性,偏向遗传研究. 这项研究引入了一个更具包容性的基因注释框架,使用各种转录组数据来提高祖先的准确性.
科学领域:
- 基因组学就是基因组学.
- 文字转录学 (Transcriptomics) 是一个学科.
- 人口遗传学 人口遗传学
背景情况:
- 准确的基因注释对于理解遗传变异,细胞功能和疾病机制至关重要.
- 现有的人类基因注释主要基于欧洲祖先的转录基因数据,导致未表征的偏见.
- 这种祖先偏见可能会影响遗传研究和疾病关联的解释.
研究的目的:
- 使用来自不同人类种群的长时间读取的RNA测序数据生成交叉祖先基因注释.
- 评估祖先表示对基因注释准确性和等位基因特异性转录使用的影响.
- 评估个人基因组组件对增强转录发现的实用性.
主要方法:
- 使用长读RNA测序生成了超过8亿个全长读数.
- 分析了来自8个基因多样化的人类群体43个淋巴细胞细胞系的样本.
- 使用个人基因组组合与通用GRCh38参考组合进行比较的转录发现.
主要成果:
- 在当前参考基因注释中发现非欧洲样本的转录不足.
- 由于这种代表性不足,在基因基因特异性转录使用分析中表现出系统偏差.
- 表明个人基因组组合可以改善转录的发现,尽管在独特的基因组区域中基因有限.
结论:
- 目前的基因注释显示出显著的祖先偏见,影响了遗传变异和疾病机制的解释.
- 迫切需要一个更具包容性的基因注释框架来代表全球转录组多样性.
- 整合多样化的转录基因组数据对于准确和公平的基因组研究至关重要.
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