Bias in Estimators of Archaic Admixture
Alan R. Rogers, Ryan J. Bohlender

TL;DR
This paper examines biases in methods estimating archaic admixture in humans, highlighting how ghost admixture, branch-length, and population-size biases affect estimates and comparing different estimators to clarify archaic gene flow patterns.
Contribution
It analyzes how ghost admixture biases influence estimators and compares their responses, providing insights into archaic human gene flow and population sizes.
Findings
Small archaic population size inferred
Limited gene flow from archaic populations to Europeans
Inconsistency in Melanesian admixture estimates
Abstract
This article evaluates bias in one class of methods used to estimate archaic admixture in modern humans. These methods study the pattern of allele sharing among modern and archaic genomes. They are sensitive to "ghost" admixture, which occurs when a population receives archaic DNA from sources not acknowledged by the statistical model. The effect of ghost admixture depends on two factors: branch-length bias and population-size bias. Branch-length bias occurs because a given amount of admixture has a larger effect if the two populations have been separated for a long time. Population-size bias occurs because differences in population size distort branch lengths in the gene genealogy. In the absence of ghost admixture, these effects are small. They become important, however, in the presence of ghost admixture. Estimators differ in the pattern of response. Increasing a given parameter may…
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Taxonomy
TopicsForensic and Genetic Research · Forensic Anthropology and Bioarchaeology Studies · Metabolism and Genetic Disorders
