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
Preventing premature deaths through polygenic risk scores.
Journal article
Chuong M. et al, (2026), Nature communications
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
polygenic risk score added to a QRISK®2 cardiovascular disease risk calculator demonstrated robust clinical acceptance and clinical utility in the primary care setting.
Journal article
Fuat A. et al, (2024), European journal of preventive cardiology, 31, 716 - 722
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