Biases in ARG-Based Inference of Historical Population Size in Populations Experiencing Selection.

ABSTRACT: Inferring the demographic history of populations provides fundamental insights into species dynamics and is essential for developing a null model to accurately study selective processes. However, background selection and selective sweeps can produce genomic signatures at linked sites that mimic or mask signals associated with historical population size change. While the theoretical biases introduced by the linked effects of selection have been well established, it is unclear whether ancestral recombination graph (ARG)-based approaches to demographic inference in typical empirical analyses are susceptible to misinference due to these effects. To address this, we developed highly realistic forward simulations of human and Drosophila melanogaster populations, including empirically estimated v

SUBMITTER: Marsh JI 

PROVIDER: S-EPMC11245712 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature