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Dear Colleague, Registration is open for Transmitting Science course “Introduction to Evolutionary Quantitative Genetics” Instructors: Dr. Erik Postma (University of Exeter, UK) and Dr. Jesús Martínez-Padilla (Universidad de Oviedo, Spain). Dates: April 8th-12th, 2019, Barcelona (Spain) Place: Capellades, Barcelona (Spain). More information: http://www.transmittingscience.org/courses/genetics-and-genomics/introduction-evolutionary-quantitative-genetics/ or writing to [log in to unmask] Quantitative genetics uses the phenotypic resemblanceamong related individuals to infer the role of genes and the environment in shaping phenotypic variation. By simultaneously using the resemblance among all individuals in the pedigree, these methods provide more precise and accurate estimates of genetic and non-genetic variance components (heritabilities and genetic correlations). Furthermore, they allow for the estimation of individual-level genetic effects (breeding values), and thereby the inference of evolution. In this course we will cover everything from basic quantitative genetic theory and statistics to advanced mixed model-based approaches. You will learnhow to estimate genetic variances and covariances in wild and captive populations, and how to test for evolutionary change. Along the way, you will be exposed to the main software packages, and the R packages MCMCglmm and ASReml-R in particular, and you will learn about their strengths and weaknesses. You are strongly encouraged to bring your own data (if you have it), which you will be able to work on during the course and which will allow you to put the theory into practice. With best regards Sole Soledad De Esteban-Trivigno Institut Català de Paleontologia Miquel Crusafont (ICP) Campus de la Universitat Autònoma de Barcelona Cerdanyola del Vallès (Barcelona). Spain www.icp.cat ######################################################################## To unsubscribe from the ARABUK list, click the following link: https://www.jiscmail.ac.uk/cgi-bin/webadmin?SUBED1=ARABUK&A=1