About
Michael Goddard is an Honorary Professor at the Institute for Molecular Bioscience, University of Queensland, with a distinguished research career spanning statistical genetics, genomics, and animal breeding. His work bridges agricultural applications in livestock and human complex trait genetics, contributing foundational methods for genomic prediction and genome-wide association studies.
His primary research interests include:
- Quantitative Genetics and Genomic Prediction
- Genome-Wide Association Studies (GWAS)
- Statistical Methods for Complex Trait Analysis
- Animal Breeding (Cattle and Sheep Genomics)
- Human Genetics of Complex Diseases
Recent publications (2016-2022) demonstrate sustained innovation in multi-trait genomic prediction, functional annotation of animal genomes (FAANG consortium), and cross-species genetic architecture studies. His work frequently addresses non-additive genetic effects and integrates sequence data to improve prediction accuracy, with applications ranging from livestock improvement to psychiatric disorder risk assessment.
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