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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

Preventing premature deaths through polygenic risk scores.

Journal article

Chuong M. et al, (2026), Nature communications, 17

Polygenic risk score adds to a clinical risk score in the prediction of cardiovascular disease in a clinical setting.

Journal article

Samani NJ. et al, (2024), European heart journal, 45, 3152 - 3160

Meiotic DNA breaks drive multifaceted mutagenesis in the human germ line.

Journal article

Hinch R. et al, (2023), Science (New York, N.Y.), 382

Characterization of meiotic recombination intermediates through gene knockouts in founder hybrid mice

Journal article

Davies B. et al, (2023), Genome Research, 33, 2018 - 2027

More publications