Literature DB >> 12161752

Human genome sequence variation and the influence of gene history, mutation and recombination.

David E Reich1, Stephen F Schaffner, Mark J Daly, Gil McVean, James C Mullikin, John M Higgins, Daniel J Richter, Eric S Lander, David Altshuler.   

Abstract

Variation in the human genome sequence is key to understanding susceptibility to disease in modern populations and the history of ancestral populations. Unlocking this information requires knowledge of the patterns and underlying causes of human sequence diversity. By applying a new population-genetic framework to two genome-wide polymorphism surveys, we find that the human genome contains sizeable regions (stretching over tens of thousands of base pairs) that have intrinsically high and low rates of sequence variation. We show that the primary determinant of these patterns is shared genealogical history. Only a fraction of the variation (at most 25%) is due to the local mutation rate. By measuring the average distance over which genealogical histories are typically preserved, these data provide the first genome-wide estimate of the average extent of correlation among variants (linkage disequilibrium). The results are best explained by extreme variability in the recombination rate at a fine scale, and provide the first empirical evidence that such recombination 'hot spots' are a general feature of the human genome and have a principal role in shaping genetic variation in the human population.

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Year:  2002        PMID: 12161752     DOI: 10.1038/ng947

Source DB:  PubMed          Journal:  Nat Genet        ISSN: 1061-4036            Impact factor:   38.330


  90 in total

1.  A neutral explanation for the correlation of diversity with recombination rates in humans.

Authors:  Ines Hellmann; Ingo Ebersberger; Susan E Ptak; Svante Pääbo; Molly Przeworski
Journal:  Am J Hum Genet       Date:  2003-05-08       Impact factor: 11.025

2.  Common 5' beta-globin RFLP haplotypes harbour a surprising level of ancestral sequence mosaicism.

Authors:  Matthew T Webster; John B Clegg; Rosalind M Harding
Journal:  Hum Genet       Date:  2003-05-08       Impact factor: 4.132

Review 3.  Hot and cold spots of recombination in the human genome: the reason we should find them and how this can be achieved.

Authors:  Norman Arnheim; Peter Calabrese; Magnus Nordborg
Journal:  Am J Hum Genet       Date:  2003-05-22       Impact factor: 11.025

4.  Linkage disequilibrium in human populations.

Authors:  Christine Lonjou; Weihua Zhang; Andrew Collins; William J Tapper; Eiram Elahi; Nikolas Maniatis; Newton E Morton
Journal:  Proc Natl Acad Sci U S A       Date:  2003-04-29       Impact factor: 11.205

5.  Patterns of linkage disequilibrium in the MHC region on human chromosome 6p.

Authors:  Annette Stenzel; Timothy Lu; W Andreas Koch; Jochen Hampe; Simone M Guenther; Francisco M De La Vega; Michael Krawczak; Stefan Schreiber
Journal:  Hum Genet       Date:  2004-01-22       Impact factor: 4.132

6.  Assessing the performance of the haplotype block model of linkage disequilibrium.

Authors:  Jeffrey D Wall; Jonathan K Pritchard
Journal:  Am J Hum Genet       Date:  2003-08-11       Impact factor: 11.025

Review 7.  Comparative genomics: methods and applications.

Authors:  Bernhard Haubold; Thomas Wiehe
Journal:  Naturwissenschaften       Date:  2004-06-25

8.  SNP discovery in pooled samples with mismatch repair detection.

Authors:  Hossein Fakhrai-Rad; Jianbiao Zheng; Thomas D Willis; Kee Wong; Kent Suyenaga; Martin Moorhead; Jim Eberle; Yvonne R Thorstenson; Ted Jones; Ronald W Davis; Eugeni Namsaraev; Malek Faham
Journal:  Genome Res       Date:  2004-07       Impact factor: 9.043

Review 9.  Meiotic recombination hot spots and human DNA diversity.

Authors:  Alec J Jeffreys; J Kim Holloway; Liisa Kauppi; Celia A May; Rita Neumann; M Timothy Slingsby; Adam J Webb
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2004-01-29       Impact factor: 6.237

10.  A torrid zone on mouse chromosome 1 containing a cluster of recombinational hotspots.

Authors:  Peter M Kelmenson; Petko Petkov; Xiaosong Wang; David C Higgins; Beverly J Paigen; Kenneth Paigen
Journal:  Genetics       Date:  2004-10-16       Impact factor: 4.562

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