Detecting inbreeding depression in structured populations

What you will discover: a mixed model with an allele-sharing-based relatedness matrix to estimate more efficiently inbreeding depression in structured populations.
You are: a biologist or bioinformatician who needs to estimate the inbreeding depression in a group of related individuals
Speaker: Eléonore Lavanchy, a member in Jérôme Goudet’s group based in Unil in Lausanne.
Click to access specific sections of the talk:
- 00:45 What is Inbreeding
- 02:48 Classical ways to calculate inbreeding depression
- 05:36 Introducing the Genetic Relatedness Matrix
- 06:20 Testing the method
- 08:33 Presentation of the results
- 11:23 Take-home messages
Reference papers and resource:
- Detecting inbreeding depression in structured populations
Eléonore Lavanchy, Bruce S. Weir, and Jérôme Goudet
DOI:
doi.org/10.107...
doi.org/10.111...
Any questions about this talk? Contact eleonore.lav[at]gmail.com
More about the speaker:
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.
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