在338,963人的全基因组重复扩展
Ya Cui1, Wenbin Ye1, Jason Sheng Li1
1Division of Computational Biomedicine, Department of Biological Chemistry, School of Medicine, University of California, Irvine, Irvine, CA 92697, USA.
TR-gnomAD是人类遗传变异的新资源,专注于与疾病相关的并列重复 (TR). 它有助于区分多种祖先的良性和致病性TR扩散.
科学领域:
- 基因组学
- 人类的基因变异
- 生物信息学
背景情况:
- 双重重复 (TRs) 占人类基因组的6%左右.
- 与50多种人类疾病有关.
- 现有的基因变异数据库,如 gnomAD,基本上忽略了 TRs.
研究的目的:
- 介绍TR-gnomAD,一个全面的参考数据库,用于并列重复变化.
- 提供有关祖先特异性TR扩散率和疾病关联的见解.
- 帮助区分良性和致病性TR扩散.
主要方法:
- 使用338,963个不同个体的全基因组测序 (WGS) 数据开发TR-gnomAD.
- 在TR-gnomAD数据集中分析了0.86万次并列重复.
- 在不同祖先和疾病群体中比较TR单位数频率.
主要成果:
- TR-gnomAD包括来自不同群体的大规模串联重复集合.
- 数据库揭示了TR单位数频率的显著差异.
- 在疾病组中发现的TR- gnomAD有效区分了常见的,可能是良性的TR扩张和潜在的致病性扩张.
结论:
- TR-gnomAD是理解串联重复变化的宝贵资源.
- 它有助于解释TR扩展在遗传疾病的背景下.
- 该数据库支持与TRs相关的祖先特异性疾病流行率的研究.
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