Max Planck Institute for Evolutionary Anthropology, Deutscher Platz 6, Leipzig, D-04103, Germany.
Genome Biol. 2011;12(2):R19. doi: 10.1186/gb-2011-12-2-r19. Epub 2011 Feb 25.
We describe a PCA-based genome scan approach to analyze genome-wide admixture structure, and introduce wavelet transform analysis as a method for estimating the time of admixture. We test the wavelet transform method with simulations and apply it to genome-wide SNP data from eight admixed human populations. The wavelet transform method offers better resolution than existing methods for dating admixture, and can be applied to either SNP or sequence data from humans or other species.
我们描述了一种基于 PCA 的全基因组扫描方法来分析全基因组混合结构,并引入了小波变换分析作为估计混合时间的方法。我们通过模拟测试了小波变换方法,并将其应用于来自八个混合人群的全基因组 SNP 数据。与现有的混合时间估计方法相比,小波变换方法具有更高的分辨率,并且可以应用于人类或其他物种的 SNP 或序列数据。