Prediction of phenotype for multiple traits from multi-omic data. This project aims to develop better methods for predicting traits in an individual based on their genome sequence. This method will be tested in agricultural animals and plants and in humans. The prediction formula is derived from a training dataset that has information on the traits and genome sequence of a sample of individuals. The prediction formula can then be applied to predict the trait in individuals where the trait is un ....Prediction of phenotype for multiple traits from multi-omic data. This project aims to develop better methods for predicting traits in an individual based on their genome sequence. This method will be tested in agricultural animals and plants and in humans. The prediction formula is derived from a training dataset that has information on the traits and genome sequence of a sample of individuals. The prediction formula can then be applied to predict the trait in individuals where the trait is unknown. This is useful for selecting the best parents for breeding in agriculture and for predicting the future phenotype of animals, crops and people. The proposed method uses data on very many traits to identify sequence variants that have a function and to predict the traits affected by each variant.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE110100068
Funder
Australian Research Council
Funding Amount
$240,000.00
Summary
Mass spectrometry platform for high throughput genotyping, epigenetic analysis and validation of genome wide sequencing studies. This facility will provide a platform for Australian researchers to quantitatively measure genetic information in a rapid, accurate and cost-efficient manner. This technology will enhance Australia's ability to perform basic research into the genetic and epigenetic mechanisms of cellular function.
Intron splicing regulates gene silencing in Arabidopsis. Defective gene regulation (i.e. how genes switch on and off) can cause severe genetic disease in both plants and animals, including humans. This project will use plants as a model to investigate a cause of defective gene expression, and should reveal possible avenues for therapeutic intervention to correct genetic defects in plants and animals.