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, 1869 - 1869
Factors influencing meiotic recombination revealed by whole-genome sequencing of single sperm.
Hinch AG. et al, (2019), Science, 363
Patterns of genetic differentiation and the footprints of historical migrations in the Iberian Peninsula
Bycroft C. et al, (2019), Nature Communications
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