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Updated: Jun 3, 2025
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伪基因相关错误在生殖线变异调用期间的定量分析
Artem Podvalnyi1,2, Arina Kopernik1, Mariia Sayganova1
1Federal Research Center for Innovator and Emerging Biomedical and Pharmaceutical Technologies, 125315 Moscow, Russia.
International journal of molecular sciences
|January 11, 2025
概括
处理的伪基因在人类基因组分析中会导致变异调用错误. 深度变种在纠正这些错误方面表现最为有效,提高了变种识别准确度.
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.
- 计算生物学 计算生物学
背景情况:
- 处理的伪基因是非功能性基因拷贝,由于其高序列相似性,在基因组分析中存在挑战.
- 它们与父基因的同质性可能导致错误的变体识别,并使准确的变体调用复杂化.
- 伪基因在参考基因组中经常缺席,进一步阻碍了分析.
研究的目的:
- 量化被加工伪基因引入的变量调用错误.
- 评估受欢迎的生殖系变异呼叫器在处理伪基因相关错误方面的表现.
- 为了确定最有效的变异呼叫者,以减轻伪基因干扰.
主要方法:
- 分析了来自13,307个人的30倍人类全基因组测序数据.
- 由GATK-HC,DRAGEN和DeepVariant产生的变体调用错误的量化.
- 在加工伪基因的存在下对变异呼叫器性能进行比较评估.
主要成果:
- 处理的伪基因显著干扰生殖系变体调用,导致假阳性变体识别.
- 伪基因的存在可能导致变体被错误地分配给父母基因.
- 与GATK-HC和DRAGEN相比,DeepVariant在纠正伪基因相关变异调用错误方面表现出优异的性能.
结论:
- 伪基因在人类全基因组测序中对准确的变异调用具有关键挑战.
- 变体调用器在处理伪基干扰的能力上有所不同,DeepVariant显示出最佳性能.
- 改进的伪基因处理方法对于可靠的变种识别至关重要,特别是对于临床相关的变种.
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