This workshop, hosted by the School of Health Sciences, is part of Prof Guilherme Rosa's IAS Fellowship.
Speaker: Professor Guilherme J. M. Rosa, Department of Animal & Dairy Sciences, University of Wisconsin-Madison
Quantitative genetics studies the inheritance of traits that are quantitative in nature and complex, i.e., influenced by multiple genes and environmental factors. This includes a plethora of traits, such as disease susceptibility, production, health and reproduction, human and animal behavior, and gene expression data. As a result, quantitative genetics has become a central paradigm for studying phenotypic variation and evolution in various fields such as human, plant and animal genetics, ecology and evolutionary biology.
This is a graduate level course (postdocs, PhD and advanced MS) for researchers working in human, animal and plant genetics and veterinary medicine, in industry or academia. Statisticians, biologists, computer scientists, and data scientists interested on learning about potential applications in animal science can also benefit from the course.
The course will cover key concepts and techniques related to quantitative and statistical genetics applied in livestock, including population genetics, mixed model equations, variance component and heritability estimations in large and complex pedigrees, genetic correlations, genome-wide association analysis (GWAS) and genomic predictions (polygenic risk scores).
The course is structured with 4 sessions on Wednesday 11th and 2 sessions on Thursday 12th of December, including expositive lectures and demos with real data and useful software and algorithms that will be shared with the participants.
Schedule
11th December (09:00 – 17:00)
12th December (13:00 – 18:00)
Lecture 1: Population Genetics Framework, Fisher’s Variance Decomposition, Resemblance Between relatives, Heritability
Lecture 2: The General Linear Model, Estimation of Basic Genetic Parameters
Lecture 3: Introduction to Mixed Models, REML and BLUP, Application in Quantitative Genetics
Lecture 4: QTL/Association Mapping
Lecture 5: Genomic Prediction; Polygenic Risk Score
Lecture 6: Correlated Traits, Repeated Measurements, Maternal Effects
Each lecture will last about 1 hour and 30 minutes, primarily expository, with some demonstrations of R software code and practical examples.
Speaker's bio
Professor Guilherme Rosa is an animal scientist at the Department of Animal and Dairy Sciences, with an affiliate appointment in the Department of Biostatistics & Medical Informatics, at UW-Madison, USA. Dr. Rosa’s work involves teaching courses and conducting research on statistical and computational tools for analysing livestock data, including beef and dairy cattle, swine, poultry, and other species. His research applications encompass the analysis of farm-level operational data to optimize management practices, high-throughput phenotyping techniques for real-time monitoring of individual animals and disease surveillance, as well as quantitative genetics/genomics and breeding. To date, Guilherme has authored 13 book chapters and over 250 refereed papers in scientific journals. He has also secured external grants totaling over $14 million to support his research programs.
The report for this workshop is coming soon, please check back later.