Identifying the environmental factors that determine the genetic structure of populations.
作者： Matthieu Foll , Oscar Gaggiotti
DOI: 10.1534/GENETICS.106.059451
关键词:
摘要: The study of population genetic structure is a fundamental problem in biology because it helps us obtain deeper understanding the evolutionary process. One issues most assiduously studied this context assessment relative importance environmental factors (geographic distance, language, temperature, altitude, etc.) on populations. widely used method to address question multivariate Mantel test, nonparametric that calculates correlation coefficient between dependent matrix pairwise distances and one or more independent matrices differences. Here we present hierarchical Bayesian estimates FST values for each local relates them using generalized linear model. demonstrated by applying two data sets, set argan tree human comprising 51 populations distributed worldwide. We also carry out simulation investigate performance find can correctly identify play role structuring diversity under wide range scenarios.
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