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Deciphering the regulatory principles of metazoan development. This proposal aims to elucidate how regulatory elements in the genome, known as enhancers, determine the identity and function of animal tissues. Currently, it is believed that enhancers cannot be traced across evolutionarily distant animals. The project uses novel concepts, computational and molecular approaches to identify deeply conserved enhancers. It further dissects the mechanism of function by proteomics and high-throughput ge ....Deciphering the regulatory principles of metazoan development. This proposal aims to elucidate how regulatory elements in the genome, known as enhancers, determine the identity and function of animal tissues. Currently, it is believed that enhancers cannot be traced across evolutionarily distant animals. The project uses novel concepts, computational and molecular approaches to identify deeply conserved enhancers. It further dissects the mechanism of function by proteomics and high-throughput genomics. The expected outcomes will overturn our current view on enhancer evolution and reposition our understanding of how enhancers are functionally encoded in the genome. The work is an important contribution to understanding cellular complexity and species evolution with wide-ranging impact in genetics.Read moreRead less
Identification of causal variants for complex traits. The aim of this project is to identify causal variants for complex traits in cattle and humans. Although most important traits in agriculture, medicine and evolution are complex traits, very few of the genetic variants affecting these traits are known and this undermines our understanding of how genetic variants affect a trait and practical uses of this knowledge. Huge datasets of individuals with genome sequence and phenotypes and new statis ....Identification of causal variants for complex traits. The aim of this project is to identify causal variants for complex traits in cattle and humans. Although most important traits in agriculture, medicine and evolution are complex traits, very few of the genetic variants affecting these traits are known and this undermines our understanding of how genetic variants affect a trait and practical uses of this knowledge. Huge datasets of individuals with genome sequence and phenotypes and new statistical methods provide the opportunity to close this gap. The outcome will be identification of many genomic variants causing variation in complex traits. This will benefit scientific understanding of complex traits and the ability to predict traits for individuals from their genome sequence.Read moreRead less