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