Bertrand Bed’Hom is a veterinary and geneticist, professor at the National Museum of Natural History in Paris (France). He worked 15 years at INRAE Animal Genetics division (France), in the field of genetics and genomics of domestic animals, mainly poultry, more particularly on genetic diversity, immunogenetics, domestication and genetics of visible traits. Currently, his research is focussing on population genomics of mammals and birds, and evolutionary mechanisms underlying the organisation of their genomes.
Ingrid David is a quantitative geneticist in the GenPhySE laboratory at INRAE in Toulouse (France). Her research interests are focused on the development and implementation of statistical and quantitative genetic methods to study interactions between individuals (maternal and social effects), genotype by environment interactions (robustness and resilience), high-throughput phenotyping and inclusive inheritance in livestock species.
Ken G Dodds
Ken G Dodds is currently Principal Scientist in statistical genetics at AgResearch, New Zealand. He has a PhD in statistics with minor in genetics from North Carolina State University. His area of expertise is on quantitative genetics and statistical genomics in a wide range of livestock and aquaculture species. His research interests cover a wide field of topics : genomic prediction of traits to genetically improve individuals, detection of variants, identification and analysis of signatures of selection, analysis of the genetic architecture of complex traits, etc. Currently, his projects focus on genomic selection in sheep, deer and goats and analysis methods for genotyping-by-sequencing data.
Tom Druet is Researcher at the Unit of Animal Genomics (University of Liège), and leads the Animal Quantitative Genetics team. He completed his PhD at Gembloux Agro-Bio Tech and worked for four years at the Station de Génétique Quantitative et Appliquée (INRA, France). His area of expertise is on quantitative genetics and genomics applied mainly to animals, in the field of animal breeding and genetics. His research interests cover a wide field of topics: implementation of genomic selection in Belgian Blue cattle; methods for haplotype reconstruction and missing genotype imputation; genetic architecture of complex traits, including meiotic recombination in cattle; characterizing individual inbreeding levels and identification of homozygous-by-descents segments (ROH)
Mathew D Littlejohn
Matt Littlejohn is Professor at Massey University (New Zealand) and his research interests focus on the development and the use of large-scale functional genomic data sets for the discovery of causative variants in cattle, dog, and other domestic species. A large part of his research is conducted in collaboration with Livestock Improvement Corporation cooperative. Matt’s expertise span bioinformatics and molecular and quantitative genetics, employing techniques such as DNA and RNA sequencing, genotyping methods, ChIP-seq, ATACseq, CRISPR and other methods to identify genes and mutations of interest. Matt has an interest in both Mendelian and quantitative traits, with the ultimate aim of identifying major-effect variants for selection of animals with improved health and performance.
Daniela Lourenco is Associate Professor in Animal Breeding, Genetics, and Genomics at the University of Georgia in the United States. She has been working in this field since 2004 and her current interests include the use of genomic information to increase rates of genetic progress, the development of methods for genomic evaluations, and the use of computational algorithms to analyze large data. Her research group has been working on genomic selection in beef and dairy cattle, swine, poultry, and fish. They have been involved in the development and implementation of single-step genomic evaluations for several breeding companies and breed associations.
Hubert Pausch is Professor in Animal Genomics at the Swiss Federal Institute of Technology (ETH) in Zürich. The main research interest of Hubert Pausch is in statistical genomics with an emphasis on the development and implementation of statistical and bioinformatic approaches to analyse whole-genome sequencing data at the population scale. His research aims at characterizing naturally occurring sequence variation and pinpointing alleles underpinning phenotypic variation in monogenic and complex traits in livestock populations. Using cattle as an example, he successfully identified allelic variations which have economic and health-related effects.
Guosheng Su is a quantitative geneticist at the Center for Quantitative Genetics and Genomics, Aarhus University in Denmark. His long-established expertise focuses on quantitative and statistical genetics applied to animal breeding. He develops models, methods and computing programs, and more recently integrative approaches using multi-omics data, for the genetic improvement and genomic evaluation of quantitative traits, and the analysis of the genetic background of complex traits and genetic-by-environment interactions.