Inference of population admixture network from local gene genealogies: a coalescent-based maximum likelihood approach.

ABSTRACT:

Motivation

Population admixture is an important subject in population genetics. Inferring population demographic history with admixture under the so-called admixture network model from population genetic data is an established problem in genetics. Existing admixture network inference approaches work with single genetic polymorphisms. While these methods are usually very fast, they do not fully utilize the information [e.g. linkage disequilibrium (LD)] contained in population genetic data.

Results

In this article, we develop a new admixture network inference method called GTmix. Different from existing methods, GTmix works with local gene genealogies that can be inferred from population haplotypes. Local gene genealogies represent the evolutionary history of sampled haplotype

SUBMITTER: Wu Y 

PROVIDER: S-EPMC7355278 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature