Improving Selection Detection with Population Branch Statistic on Admixed Populations.

ABSTRACT: Detecting natural selection signals in admixed populations can be problematic since the source of the signal typically dates back prior to the admixture event. On one hand, it is now possible to study various source populations before a particular admixture thanks to the developments in ancient DNA (aDNA) in the last decade. However, aDNA availability is limited to certain geographical regions and the sample sizes and quality of the data might not be sufficient for selection analysis in many cases. In this study, we explore possible ways to improve detection of pre-admixture signals in admixed populations using a local ancestry inference approach. We used masked haplotypes for population branch statistic (PBS) and full haplotypes constructed following our approach from Yelmen et al. (2019)

SUBMITTER: Yelmen B 

PROVIDER: S-EPMC8046333 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature