Animal model - Quantitative Genetic Techniques for Animal and Plant studies
13 15 July, Neuchâtel
Prof. J. Goudet, K. Foester
This course is an introduction into the application and use of "Animal Model" quantitative genetic analysis techniques.
The "Animal Model" is a generalized linear mixed model (GLMM) that uses pedigree information to partition the observed phenotypic variance of a trait into various genetic and environmental components. It is hence used to estimate genetic variance and heritability of observed traits. It can equally be applied in a multivariate way to estimate genetic covariances and genetic correlations between traits. The "Animal Model" is particularly useful for animal and plant breeding, as well as quantitative field or laboratory data on animal or plant phenotypes, when genealogical information (a pedigree) over several (at least two) generations is available.
The course will first provide a short introduction to quantitative genetics and the “Animal Model“ approach, and then focus on practical guidelines and examples on how to run “Animal Models“ using appropriate software. During the three-day course, morning sessions will provide theoretical lectures, and afternoon sessions will include hands-on practicals where the students will gain experience in running “Animal models“ using simulated datasets. We specifically invite students who will have own data to analyse, and there will be time during the course to work on own data and get specific help from the tutors. A prerequisite for this course is some knowledge of mixed model analysis, from former experience or from the course on mixed models.
During the three-day course, morning sessions will provide theoretical lectures, and afternoon sessions will include hands-on practicals where the students will gain experience in running "Animal models" using simulated datasets.
Short introduction to quantitative genetics and the "Animal Model" approach.
Focus on practical guidelines and examples on how to run "Animal Models" using appropriate software.
We specifically invite students who will have own data ready to be analysed, since there will be time during the course to work on data and get specific help from the tutors.
Date: 13-15 July 2009, 9.00 - 17.00
Travel expenses: NCCR Ph.D. participants are eligible for reimbursement of incurred travel expenses by train (half-fare card, and 2nd class). Please send the original tickets (no copies, except for the general abonnement) at the end of the term with this form (Excel document) to Dr. Christiane Bobillier. No reimbursement for bus, taxi or car travel expenses will be paid.
This course is opened to all Ph.D. students. However, priority is given to "Inter-University Doctoral program Ecology and Evolution" and "Interuniversity Doctoral Program of Organismal Biology" participants. Postdocs are welcome depending on availability. This course is free.
Minimum number of participants: 8, maximum: 18 (15 + 3 with own laptop computer). There are 18 places left.
Registration through the web only:Register
Deadline: 1 July 2009