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.
Sequencing of human genomes with nanopore technology
Bowden R. et al, (2019), Nature Communications, 10
Factors influencing meiotic recombination revealed by whole-genome sequencing of single sperm
Hinch AG. et al, (2019), Science, 363, eaau8861 - eaau8861
Patterns of genetic differentiation and the footprints of historical migrations in the Iberian Peninsula.
Bycroft C. et al, (2019), Nat Commun, 10
Erratum: Sequence data and association statistics from 12,940 type 2 diabetes cases and controls
Flannick J. et al, (2018), Scientific Data, 5
Phenome-wide association studies across large population cohorts support drug target validation
Diogo D. et al, (2018), Nature Communications, 9