Phenotypic profiling from DNA using genetic and epigenetic information (2016–2018)

A DNA sample contains epigenomic information additional to the genome sequence. This information can reflect age and past and present lifestyle from the individual whose sample it is. The project will quantify how much information about a person can be inferred from a DNA sample. Existing genome-wide genotype and methylation array data from thousands of blood samples from human subjects will be statistically analysed to develop and validate predictors for chronological age, smoking, caffeine use, pesticide exposure, diet and body mass index. The project will quantify the accuracy of lifestyle and phenotypic prediction from DNA. Applications of epigenomic prediction are widespread, ranging from forensics to ecology.
Grant type:
ARC Discovery Projects
  • Professorial Research Fellow
    Institute for Molecular Bioscience
    Afilliate Professor
    Queensland Brain Institute
Funded by:
Australian Research Council