Jerome Goudet

Nov 7, 2024 | nature.com | Jan Graffelman |Bruce Weir |Jerome Goudet

AbstractThe Jacquard genetic identity coefficients are of fundamental importance in relatedness research. We address the estimation of these coefficients as well as other relationship parameters that derive from them such as kinship and inbreeding coefficients using a concise matrix framework. Estimation of the Jacquard coefficients via likelihood methods and the expectation–maximization algorithm is computationally very demanding for large numbers of polymorphisms.

Mar 29, 2024 | biorxiv.org | Jan Graffelman |Bruce Weir |Jerome Goudet |Univ. Laussane

AbstractThe Jacquard genetic identity coefficients are of fundamental importance in relatedness research. We address the estimation of these coefficients as well as other relatedness parameters that derive from them such as kinship and inbreeding coefficients using a concise matrix framework. Estimation of the Jacquard coefficients via likelihood methods and the expectation--maximization algorithm is computationally very demanding for large numbers of polymorphisms.

Aug 14, 2023 | biorxiv.org | Bruce Weir |Jerome Goudet |Eléonore Lavanchy

AbstractMeasuring inbreeding as well as its consequences on fitness is central for many areas in biology including human genetics and the conservation of endangered species. However, there is no consensus on the most appropriate method, neither for quantification of inbreeding itself nor for the model to estimate its effect on specific traits.

Jul 19, 2023 | biorxiv.org | Jerome Goudet |Bruce Weir

New Results doi: https://doi.org/10.1101/2023.07.18.549618 AbstractBeing able to properly quantify genetic differentiation is key to understanding the evolutionary potential of a species. One central parameter in this context is FST, the mean coancestry within populations relative to the mean coancestry between populations. Researchers have been estimating FST globally or between pairs of populations for a long time.