Prediction of phenotype for multiple traits from multi-omic data (ARC Discovery Project administered by University of Melbourne) (2020–2023)
Abstract:
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.