Professor of Statistical Science
We are interested in understanding the impact of recombination in shaping natural diversity and evolution. We are also interested in understanding the mechanisms promoting and regulating recombination in mammals.
The Donnelly group, in collaboration with others, has developed and applied cutting-edge statistical methods that utilize genome-wide variation data to detect and characterise human population structure and admixture.
Identifying loci affecting trait variability and detecting interactions in genome-wide association studies.
Young AI. et al, (2018), Nat genet, 50, 1608 - 1614
Phenome-wide association studies across large population cohorts support drug target validation.
Diogo D. et al, (2018), Nat commun, 9
Long-read whole genome sequencing and comparative analysis of six strains of the human pathogen Orientia tsutsugamushi.
Batty EM. et al, (2018), Plos negl trop dis, 12
Insights into platypus population structure and history from whole-genome sequencing
Batty EM. et al, (2018), Molecular biology and evolution
Erratum: Sequence data and association statistics from 12,940 type 2 diabetes cases and controls.
Flannick J. et al, (2018), Scientific data, 5, 180002 - 180002