Olivier Mazet

Modelling and Inferring Large-scale Demographic Fluctuations in Structured Populations Through Simulations and PSMC-based Methods.

This study simulates structured populations to assess PSMC's ability to infer demographic history, finding it fails to recover older fluctuations but works better for recent periods.

Extending the IICR to complex non-stationary structured models

This paper extends the non-stationary structured coalescent framework to models with changing parameters, showing that IICR curves can be misleading and highlighting the impact of deme changes on population genetic inferences.

Structural mutations set an equilibrium non-coding genome fraction

The paper proposes a mathematical model showing how genome size evolution is shaped by mutation biases and robustness selection, leading to an equilibrium non-coding fraction.

Exact calculation of the expected SFS in structured populations

The paper presents an algorithm to calculate the expected Site Frequency Spectrum (SFS) in structured populations, enabling demographic parameter inference in the symmetrical n-island model.

On the demographic history of chimpanzees and some consequences of integrating population structure in chimpanzees and other great apes

This paper investigates the demographic history of chimpanzees by integrating population structure into models, finding that spatial models improve predictions of genetic differentiation and IBD patterns.

Extending the IICR to multiple genomes and identification of limitations of some demographic inferential methods

This paper extends the IICR to larger sample sizes and identifies limitations of demographic inferential methods using simulations and real data.

Heterogeneity in effective size across the genome: effects on the Inverse Instantaneous Coalescence Rate (IICR) and implications for demographic inference under linked selection.

The paper examines how genomic variations in effective population size due to linked selection affect coalescence time distributions and demographic inference.

On the importance of being structured: instantaneous coalescence rates and a re-evaluation of human evolution

The paper shows that ignoring population structure in demographic inference leads to misleading population size changes, using human genomic data to demonstrate this issue.

Demographic inference using genetic data from a single individual: separating population size variation from population structure

This paper develops methods to estimate demographic parameters and choose models using genetic data from a single individual, distinguishing population size changes from population structure.