Amandine Véber

This study develops a unified Wright-Fisher model to analyze mutation fate on Y chromosomes and autosomes, showing overdominant mutations are more likely to fix on Y chromosomes due to segregation time effects.

This paper uses mathematical modeling and simulations to show how recombination suppression on sex chromosomes expands through sheltering from deleterious mutations and lower mutational load.

This study supports the theory that recombination suppression on sex chromosomes evolves due to lower-load advantages and sheltering effects from recessive deleterious mutations.

This paper introduces a Bayesian method called BESTT for inferring population size changes using Tajima’s coalescent, showing it is computationally efficient and accurate for both simulated and human data.

The paper develops an importance sampler to compute the full likelihood of demographic scenarios from the site frequency spectrum under specific assumptions about mutation and population structure.