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在普通海 (Callithrix jacchus) 中对SNV和Indel多态的全基因组分析
R Alan Harris1, Muthuswamy Raveendran1, Wes Warren2
1Human Genome Sequencing Center and Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.
Genes
|December 23, 2023
概括
产生了一种新的,高质量的普通大黄蜂基因组组合和广泛的遗传变异数据. 此资源有助于研究人类疾病的海模型和遗传多样性研究.
科学领域:
- 基因组学就是基因组学.
- 灵长类动物研究研究.
- 进行比较的基因组学.
背景情况:
- 常见的 (Callithrix jacchus) 是人类疾病的关键非人类灵长类模型.
- 以前的基因组组合受到短读测序的限制,导致缺口和不完整的遗传多样性数据.
研究的目的:
- 为了生成一个高品质的,连续的基因组组合为普通的鱼.
- 通过全基因组测序,全面描述物种的遗传多样性.
- 识别与人类疾病建模相关的遗传变异.
主要方法:
- 长期阅读的基因组测序和专家注释为高质量的组装.
- 全基因组测序84种常见的鱼,以捕捉遗传多样性.
- 变体调用和注释,包括单核酸变体 (SNV) 和插入/删除变体.
- 正义变体分析,比较鱼和人类的ClinVar数据.
主要成果:
- 一个2.898Gb高品质的鱼基因组组合,具有改进的连续性 (连续N50=25.23Mbp).
- 在84个个体中识别了1910万个单核酸变体 (SNV) 和2800万个插入/删除变体.
- 发现了 74,088 种误解变异和 27 种病原/可能病原变异,与人类 ClinVar 条目相对应.
结论:
- 产生的大黄蜂基因组资源为灵长类动物基因组学提供了重大进展.
- 这一数据集有助于对人类疾病相关的自然和自发变异进行基因分析.
- 该资源将支持用于生物医学研究的基因工程鸟模型的开发.
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