Meiotic crossover hotspots contained in haplotype block boundaries of the mouse genome Journal Article


Authors: Kauppi, L.; Jasin, M.; Keeney, S.
Article Title: Meiotic crossover hotspots contained in haplotype block boundaries of the mouse genome
Abstract: Fertility requires successful chromosome segregation in meiosis, which in most sexual organisms depends on the formation of appropriately placed crossovers. The nonrandom genome-wide distributions of meiotic recombination events have been examined at the molecular level experimentally in yeast and by inference from linkage disequilibrium patterns in humans. Thus far, no method has existed for pinpointing sites of crossing-over on a genome-wide scale in an experimentally tractable animal whose genome size and complexity models that of humans. Here, we present a genomic approach to identify mouse crossover hotspots, based on targeting haplotype block boundaries. This represents a previously undescribed method potentially applicable to large-scale mouse hotspot identification. Using this method, we have successfully predicted the location of two previously uncharacterized crossover hotspots in male mice. As increasing amounts of single-nucleotide polymorphism data emerge, this approach will be useful for investigating the recombination landscape of the mouse genome. © 2007 by The National Academy of Sciences of the USA.
Keywords: single nucleotide polymorphism; polymorphism, single nucleotide; nonhuman; polymerase chain reaction; mouse; meiosis; animals; mice; mus; haplotypes; linkage disequilibrium; animalia; haplotype; genetic recombination; genomics; genome; mouse strain; genome size; fertility; spermatozoa; chromosome segregation; recombination; crossing over; single-nucleotide polymorphism; cross-over studies; gene linkage disequilibrium; allele-specified pcr
Journal Title: Proceedings of the National Academy of Sciences of the United States of America
Volume: 104
Issue: 33
ISSN: 0027-8424
Publisher: National Academy of Sciences  
Date Published: 2007-08-14
Start Page: 13396
End Page: 13401
Language: English
DOI: 10.1073/pnas.0701965104
PUBMED: 17690247
PROVIDER: scopus
PMCID: PMC1948908
DOI/URL:
Notes: --- - "Cited By (since 1996): 7" - "Export Date: 17 November 2011" - "CODEN: PNASA" - "Source: Scopus"
Altmetric
Citation Impact
BMJ Impact Analytics
MSK Authors
  1. Scott N Keeney
    138 Keeney
  2. Liisa Hannele Kauppi
    10 Kauppi
  3. Maria Jasin
    249 Jasin