Assessing Ancient DNA Sampling Strategies for Natural Selection Inference in Humans Using Allele Frequency Time Series Data.

ABSTRACT: The increased availability of genomic data from ancient humans allows estimating the strength of natural selection at a given locus using time series data. Several methods have been developed for this purpose and were originally validated through simulations using mostly large sample sizes. However, human ancient DNA (aDNA) data typically have high missingness and include only a small uneven number of individuals per time point, making estimations of selection challenging. Here, we benchmark the inference of selection with aDNA-like time series datasets using extensive simulations and four methods: ApproxWF, BMWS, Slattice, and Sr. We test several sampling schemes of time series data and selection coefficients (s) and focus on whether one can infer selection using time series datasets with

SUBMITTER: Anchieri L 

PROVIDER: S-EPMC12862635 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature