© 1994 Oxford University Press
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Towards high resolution maps of the mouse and human genomes—a facility for ordering markers to 0.1 cM resolution
MRC Human Genome Mapping Project Resource Centre, Clinical Research Centre Harrow, UK
1Institut Pasteur Paris, France
2Computing Services
3Section of Comparative Biology, MRC Clinical Research Centre Harrow
4Gatton Laboratory, University of London
5MRC Human Genetics Unit Edinburgh
6MRC Radtotiology Unit Chilton, Didcot
7Nuffield Department of Surgery, University of Oxford, John Radclrffe Hospital Headington, Oxford 0X3 9DU
8MRC National Institute of Medical Research Mill Hill, London
9Chester Beatty Laboratories, Institute of Cancer Research Fulham Rd., London SW3 6JB
10ICRF London, UK
11Instrtut f
r Human Genetik, Frete Univerversrtät Berlin 14195 Berlin, Germany
12Department of Biochemistry and Molecular Genetics, St Mary's Hospital Medical School London W2 1PG, UK
*To whom correspondence should be addressed
Received February 4, 1994; Accepted February 25, 1994
982 progeny produced by a mouse Interspecific backcross between C57BL/6 and Mus spretus have been scored for at least 3 markers on each chromosome, completing an anchor map of 78 loci across the mouse genome. The anchor mapping identifies all the available recomblnants in each interanchor Interval allowing access to panels of mice that can be used for the high resolution mapping of any chromosome region. The large number of progeny recovered and scored from the Interspecific backcross allows us to resolve genetically markers that lie on average 200 kb apart on mouse chromosomes and within the cloning capacity of currently available YAC libraries. EUCIB provides the first genetic mapping resource specifically designed for the high resolution mapping of all regions of the mouse genome and will underpin the global physical mapping of the mouse genome. In addition, with the use of conserved sequences the facility is applicable to the high resolution comparative mapping of the mouse and human genomes. A new database has been implemented to support the computation of high resolution and ordered genetic maps.
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