通过局部祖先推断,改善了gnomAD中的等位基因频率
Pragati Kore1, Michael W Wilson2, Grace Tiao2
1Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA.
bioRxiv : the preprint server for biology
|July 15, 2025
概括
在混合种群中,局部祖先推断 (LAI) 在基因组聚合数据库 (gnomAD) 中揭示了显著的等位基因频率差异. 这通过发现掩盖的变异来改善基因组解释,可能重新分类变异意义.
科学领域:
- 基因组学就是基因组学.
- 人口遗传学 人口遗传学
- 生物信息学是一种生物信息学.
背景情况:
- 基因组聚合数据库 (gnomAD) 是基因组研究和临床遗传学的等位基因频率的关键资源.
- 现有的gnomAD数据将个人汇总成广泛的遗传祖先群体,可能掩盖混合种群中的重要变异.
研究的目的:
- 应用本地祖先推断 (LAI) 来识别混杂种群中的祖先特异性等位基频率.
- 评估LAI衍生频率对变异解释和临床意义的影响.
主要方法:
- 当地祖先推断 (LAI) 应用于美国混血和非洲/非洲裔美国人队伍中的超过2700万种变体.
- 为这些混合群体计算出祖先特异性等位基因频率.
主要成果:
- 很大一部分变异 (78.5%和85.1%) 在祖先特异频率上至少有两倍的差异.
- 纳入LAI数据将增加81.49%的变异的全gnomAD最大频率,影响临床解释.
- 通过聚合数据掩盖的临床相关的频率差异被揭示出来.
结论:
- 与传统方法相比,LAI为混合种群提供了更高分辨率的等位基因频率数据.
- 根据LAI的基因频率可以完善变体分类,可能将变体从不确定的重要性转移到良性或可能良性.
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