一个基于概率的框架,用于从家谱树上推断人口统计数据
Caoqi Fan1,2, Jordan L Cahoon1,3, Bryan L Dinh1,2
1Department of Quantitative and Computational Biology, University of Southern California.
bioRxiv : the preprint server for biology
|October 24, 2023
概括
我们开发了一种新的方法,系谱概率 (gLike),从遗传数据中推断出人口历史. 通过使用更多的家谱信息,gLike精确估计了人口参数,并优于现有的方法.
科学领域:
- 人口遗传学 人口遗传学
- 计算生物学 计算生物学
- 基因组历史 基因组历史
背景情况:
- 人口历史塑造了基因变异,被编码在基因-家谱树上.
- 目前的方法通常使用有限的遗传数据总结,如等位基因频率谱.
结论:
- 对于复杂的人口人口结构的敏感和准确的推断,gLike的带未充分利用了家谱信息.
- 适用于人类和其他物种,特别是改善全基因组基因谱估计.
- 为拉丁美洲人和夏威夷原住民等混合人口提供了对历史人口学的见解.
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