Quantitative Genetics is the genetic analysis and interpretation of data on complex traits. Most of the relevant traits in livestock are complex traits that reflect the actions and interactions of a large number of genes and environmental factors.
Within our section we study many aspects of Quantitative Genetics. There is an interest to dissect the genetic control of complex traits into individual gene variants as well as using the sum of all the genetic variants in the genome to predict genome-wide genetic merit or risk. Other areas of research include the modeling of disease phenotypes to derive new and more informative trait definitions and the analyses of Next Generation Sequencing Data.
A lot of the work interfaces with other aspects of genetics and biology such as computational-, population- and molecular genetics, as well as bioinformatics and mathematical modeling. The section of Quantitative Genetics comprises a group of relatively young scientists that are largely research focused. People in the section work on a wide range of species as well as on theory and tool development, which is not limited to any given species. The section is very international with researchers origination from China, Holland, Poland, South-Africa and Pakistan.
Collaborators in the section do also lead two projects within Mistra Biotech: CP2 Novel molecular breeding tools and CP6 Centre for agriculture and food systems analysis and synthesis (AgriSA).