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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ZCWPW1 is recruited to recombination hotspots by PRDM9, and is essential for meiotic double strand break repair
Journal article
Wells D. et al, (2019)
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A polygenic resilience score moderates the genetic risk for schizophrenia.
Journal article
Hess JL. et al, (2019), Molecular psychiatry
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Population-based identity-by-descent mapping combined with exome sequencing to detect rare risk variants for schizophrenia.
Journal article
Harold D. et al, (2019), American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics, 180, 223 - 231
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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