Improving the inference of population genetic structure in the presence of related individuals.

ABSTRACT: It is well known that the presence of related individuals can affect the inference of population genetic structure from molecular data. This has been verified, for example, on the unsupervised Bayesian clustering algorithm implemented in the software STRUCTURE. This methodology assumes, among others, Hardy-Weinberg and linkage equilibrium within subpopulations. The existence of groups of close relatives, such as full-sib families, may prevent these assumptions to be fulfilled, causing the algorithm to work suboptimally. The purpose of this study was to evaluate the effect of the presence of related individuals on a different methodology (implemented in CLUSTER_DIST) for population genetic structure inference. This approach arranges individuals to maximize the genetic distance between group

SUBMITTER: Rodriguez-Ramilo ST 

PROVIDER: S-EPMC7044976 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature