Detecting inbreeding depression in structured populations

Measuring inbreeding and 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 best method, neither for quantification of inbreeding itself nor for the model to estimate its effect on specific traits.

In this video, you will discover how introducing a mixed model with an allele-sharing-based relatedness matrix into inbreeding depression calculation allows for a more efficient estimation in structured populations.If you are a biologist or bioinformatician who needs to estimate the inbreeding depression in a group of related individuals, then this talk is for you!

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Speaker

Name:

Eléonore Lavanchy

Institute:

University of Lausanne

Group:

Population Genetics and Genomics

Eléonore Lavanchy grew up and studied in Switzerland. After a master’s degree in biology, she started a PhD with Jérôme Goudet in population genomics. Her PhD was about inbreeding and more specifically how it can be measured, and how to quantify its effects. She first focused on the methodological aspects, using mostly simulations and statistics, and then moved towards more applied biology, using what she tested and developed in the first half of her PhD to study the inbreeding status of the barn owl.