Publication Date:
2005-10-15
Description:
Genetic maps, which document the way in which recombination rates vary over a genome, are an essential tool for many genetic analyses. We present a high-resolution genetic map of the human genome, based on statistical analyses of genetic variation data, and identify more than 25,000 recombination hotspots, together with motifs and sequence contexts that play a role in hotspot activity. Differences between the behavior of recombination rates over large (megabase) and small (kilobase) scales lead us to suggest a two-stage model for recombination in which hotspots are stochastic features, within a framework in which large-scale rates are constrained.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Myers, Simon -- Bottolo, Leonardo -- Freeman, Colin -- McVean, Gil -- Donnelly, Peter -- U54 HG2750/HG/NHGRI NIH HHS/ -- Wellcome Trust/United Kingdom -- New York, N.Y. -- Science. 2005 Oct 14;310(5746):321-4.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Statistics, University of Oxford, 1 South Parks Road, Oxford OX1 3TG, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/16224025" target="_blank"〉PubMed〈/a〉
Keywords:
Animals
;
Base Sequence
;
*Chromosome Mapping
;
Chromosomes, Human
;
Evolution, Molecular
;
Female
;
*Genome, Human
;
Humans
;
Male
;
Models, Genetic
;
Polymorphism, Single Nucleotide
;
Recombination, Genetic/*genetics
Print ISSN:
0036-8075
Electronic ISSN:
1095-9203
Topics:
Biology
,
Chemistry and Pharmacology
,
Computer Science
,
Medicine
,
Natural Sciences in General
,
Physics
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