Andrew H. Vaughn

This study identifies genetic factors underlying color and pattern variation in Oophaga pumilio frogs from Bocas del Toro, finding key genes involved in different polymorphisms and evidence of selective sweeps.

GHIST 2024 evaluates population genetic inference methods through four demographic history challenges, revealing the dominance of site frequency spectrum-based methods and the potential of flexible models for complex histories.

CLUES2 estimates selection coefficients and allele histories from ancient and modern DNA, showing changing selective pressures in genes related to agriculture and diet in ancient Europe.

This paper uses ancient genomes to trace the spread of Germanic languages in Europe, identifying a Baltic origin and migration patterns that challenge traditional timelines.

The paper introduces a Bayesian MCMC method for inferring admixture graphs and applies it to Native American and Arctic populations, finding that the Koryak population, not Saqqaq, is the best proxy for gene flow into Athabascans.

This study benchmarks three ARG inference methods for estimating coalescence times using simulations, finding ARGweaver most accurate but less scalable than Relate and tsinfer+tsdate.