基因组MUSter小鼠遗传变异服务使多特征,多种群数据集成和分析成为可能
bioRxiv : the preprint server for biology
|August 23, 2023
概括
我们开发了GenomeMUSter,这是来自657个小鼠菌株的密集遗传数据集,可实现特征变异关联的综合分析. 本资源增强了对2型糖尿病和物质使用障碍等疾病的遗传贡献的理解.
科学领域:
- 基因组学就是基因组学.
- 翻译医学是一种翻译医学.
- 生物信息学是一种生物信息学.
背景情况:
- 鼠标模型对于理解人类疾病中的遗传变异至关重要.
- 现有的小鼠遗传和表型数据稀疏,不易互操作.
- 新的小鼠模型为遗传研究提供了更多的资源.
研究的目的:
- 为了创建一个统一密集的,协调的鼠标菌株遗传数据资源.
- 为了实现跨多种小鼠种群的特征变异关联的综合分析.
- 为了促进跨物种的比较和改善疾病建模.
主要方法:
- 来自各种小鼠种群的多个变体数据集协调.
- 使用维特比算法与遗传学信息计算缺失的基因型.
- 开发了GenomeMUSter,这是一个网络和程序可访问的数据服务.
主要成果:
- 创建了一个数据集,涵盖了1068万个分离地点的657个老鼠菌株.
- 基因组MUSter提供了与表型数据库和分析工具的互操作性.
- 在2型糖尿病和物质使用障碍的跨物种元分析中证明有用.
结论:
- 基因组MUSter释放了小鼠遗传多样性的潜力,用于健康和疾病研究.
- 该资源促进了精细的位置映射和小鼠模型的优先级.
- 允许使用小鼠表型数据更具体地描述人类变异效应.
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