用于基因型表示图的快速表型模拟
Aditya Syam1,2, Chris Adonizio1,2, Xinzhu Wei1
1Department of Computational Biology, Cornell University, Ithaca, NY.
bioRxiv : the preprint server for biology
|September 2, 2025
概括
我们介绍了GrgPhenoSim,一个用于基因型表示图的快速表型模拟器 (GRGs). 这种工具通过快速模拟表型来加速对大型生物库规模数据集的统计遗传学研究.
科学领域:
- 基因组学
- 统计遗传学
- 生物信息学
背景情况:
- 基因型表示图 (GRG) 提供了基于全基因组多态的紧且高效的表示.
- 分析大规模基因组数据的现有方法,特别是全基因组关联研究,需要更快的计算方法.
研究的目的:
- 开发一个专门为GRG设计的极速表型模拟器.
- 在生物库规模数据集上进行可扩展的统计遗传学研究.
主要方法:
- 开发了GrgPhenoSim,一个针对GRG数据结构的表型模拟器.
- 使用不同的样本大小对比GrgPhenoSim与现有模拟器.
主要成果:
- 对于大样本,GrgPhenoSim显示出显著的速度改进,比tstrait快几十倍到几百倍.
- 该模拟器支持定制模拟,并提供标准化的输出,包括基本的表型模拟功能.
结论:
- GrgPhenoSim是一种高效的GRG数据表型模拟工具,显著提高了统计遗传学的可扩展性.
- GrgPhenoSim库及其文档的可用性有助于在大规模遗传研究中采用它.
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