Personal Info

E-mail: donnelly(at)stats.ox.ac.uk; peter.donnelly(at)well.ox.ac.uk

Tel: 01865 287725 (PA)

Web Link: http://www.stats.ox.ac.uk/people/academic_staff/peter_donnelly

Academic Background:

BSc in Mathematics, University of Queensland (1976-79); DPhil in Mathematics, Balliol College, University of Oxford (1980-83), Rhodes Scholar; Visiting Assistant Professor, Department of Statistics, University of Michigan (1983-84); University of Wales Research Fellow, Department of Mathematics and Computer Science, University College of Swansea (1984-85); Lecturer, Department of Statistical Science, University College London (1985-88); Professor of Mathematical Statistics and Operational Research, Queen Mary & Westfield College, University of London (1988-94); Professor, Department of Statistics and Department of Ecology and Evolution, University of Chicago (1994-96); Professor of Statistical Science, University of Oxford (1996-present); Head of the Department of Statistics (1996-2001); Director, Wellcome Trust Centre for Human Genetics, Oxford (2007-present).

Research Interests:

Peter Donnelly’s research concerns the genetics of common human diseases and the development and application of mathematical models and statistical methods in modern biomedical genetics. Research themes include: understanding fundamental evolutionary mechanisms, particularly recombination; the way in which genetic variation changes with geographical location; and the identification of genetic variants which affect susceptibility to human diseases.
Peter plays a leading role in several major international research projects, co-chairing the Analysis group of the International HapMap project, and chairing the Wellcome Trust Case Control Consortium.
He is a Fellow of the Royal Society, and of the Academy of Medical Sciences.

Selected Publications:

P. Donnelly (Chair), ‘Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls’, Nature 447 (2007), 661-78. The Wellcome Trust Case Control Consortium
J. Marchini, B. Howie, S. Myers, G. McVean and P. Donnelly, ‘A new multipoint method for genome-wide association studies by imputation of genotypes’, Nature Genetics 39 (2007), 906–13
D. Altshuler and P. Donnelly corresponding authors, ‘A haplotype map of the human genome’, Nature 437 (2005), 1299-1320. The International HapMap Consortium
S. Myers, L. Bottolo, C. Freeman, G. McVean* and P Donnelly* (joint senior authors), ‘A fine scale map of recombination rates and hotspots across the human genome’, Science 309 (2005), 321-24
J. Marchini, P. Donnelly and L. Cardon, ‘Genome-wide strategies for detecting multiple loci that influence complex diseases’, Nature Genetics 37 (2005), 413-17
W. Winckler, S. Myers, D. Richter, R. Onofrio, G. McDonald, R. Bontrop, G. McVean, S. Gabriel, D. Reich, P. Donnelly* and D. Altshuler* (joint senior authors), ‘Comparison of fine scale recombination rates in humans and chimpanzees’, Science 308 (2005), 107-11
G. McVean, S. Myers, S. Hunt, P. Deloukas, D. Bentley and P. Donnelly, ‘The fine-scale structure of recombination rate variation in the human genome’, Science 304 (2004), Issue 5670, 581-84
M. Stephens, N. Smith and P. Donnelly, ‘A new statistical method for haplotype reconstruction from population data’, Am. J. Hum. Genet. 68 (2001), 978-89
J. Pritchard, M. Stephens and P. Donnelly), ‘Inference of population structure using multilocus genotype data’, Genetics 155 (2000), 945-59
M. Stephens and P. Donnelly, ‘Inference in molecular population genetics’, J. Roy. Stat. Soc. B. 62 (2000), 605-55. With discussion