Performance of <i>qpAdm</i>-based screens for genetic admixture on admixture-graph-shaped histories and stepping-stone landscapes.

ABSTRACT: qpAdm is a statistical tool that is often used for testing large sets of alternative admixture models for a target population. Despite its popularity, qpAdm remains untested on two-dimensional stepping-stone landscapes and in situations with low pre-study odds (low ratio of true to false models). We tested high-throughput qpAdm protocols with typical properties such as number of source combinations per target, model complexity, model feasibility criteria, etc. Those protocols were applied to admixture-graph-shaped and stepping-stone simulated histories sampled randomly or systematically. We demonstrate that false discovery rates of high-throughput qpAdm protocols exceed 50% for many parameter combinations since: 1) pre-study odds are low and fall rapidly with in

SUBMITTER: Flegontova O 

PROVIDER: S-EPMC10614728 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature