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The Fine-Scale Structure of Recombination Rate Variation in the Human Genome

Science
23 Apr 2004
Vol 304, Issue 5670
pp. 581-584

Abstract

The nature and scale of recombination rate variation are largely unknown for most species. In humans, pedigree analysis has documented variation at the chromosomal level, and sperm studies have identified specific hotspots in which crossing-over events cluster. To address whether this picture is representative of the genome as a whole, we have developed and validated a method for estimating recombination rates from patterns of genetic variation. From extensive single-nucleotide polymorphism surveys in European and African populations, we find evidence for extreme local rate variation spanning four orders in magnitude, in which 50% of all recombination events take place in less than 10% of the sequence. We demonstrate that recombination hotspots are a ubiquitous feature of the human genome, occurring on average every 200 kilobases or less, but recombination occurs preferentially outside genes.

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References and Notes

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Thanks to G. Coop, D. Falush, J. Marchini, M. Przeworski, D. Reich, D. Sherratt, M. Stephens, C. Spencer, and three anonymous reviewers for discussion and comments on the manuscript. The work was supported by the Royal Society, the Nuffield Trust, the Wellcome Trust, NIH, and The SNP Consortium.

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Information & Authors

Information

Published In

Science
Volume 304 | Issue 5670
23 April 2004

Submission history

Received: 14 October 2003
Accepted: 29 March 2004
Published in print: 23 April 2004

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Notes

Supporting Online Material
www.sciencemag.org/cgi/content/full/304/5670/581/DC1
Materials and Methods
Figs. S1 to S4
Tables S1 to S2
References and Notes

Authors

Affiliations

Gilean A. T. McVean,* [email protected]
Department of Statistics, University of Oxford, Oxford OX1 3TG, UK.
Simon R. Myers*
Department of Statistics, University of Oxford, Oxford OX1 3TG, UK.
Sarah Hunt
Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK.
Panos Deloukas
Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK.
David R. Bentley
Wellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, UK.
Peter Donnelly
Department of Statistics, University of Oxford, Oxford OX1 3TG, UK.

Notes

To whom correspondence should be addressed. E-mail: [email protected]

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