In this R29 application, the investigator proposes to develop and refine computational tools for analyzing results obtained from radiation hybrid and linkage mapping, with a particular emphasis on integration of multiple maps. The investigator proposes to use a variety of maximum likelihood methods to determine the best way to integrate radiation hybrid maps in which data have been gathered from different radiation hybrid panels, as well as to integrate radiation hybrid map data with linkage map data. She will use data generated by several groups who have built radiation hybrid maps with three different hybrid panels designed to allow a range of resolutions (from several Mb to 50 kb) to be determined, data from several extensive linkage maps, and data from YAC maps where physical distance information can be estimated to allow comparisons of base pair, centiMorgan and centiRay distances to be made. Another significant part of this effort will be to improve the ability to build radiation hybrid maps with very large numbers of markers by modifying the MultiMap computer program, which was developed by the investigator for linkage mapping. She will also use these tools to participate in a recently begun mouse genome radiation hybrid mapping project. Finally, she proposes to develop web-based servers to allow outside users to calculate map positions, based on multiple public radiation hybrid and linkage maps, of a marker or set of markers.

Agency
National Institute of Health (NIH)
Institute
National Human Genome Research Institute (NHGRI)
Type
First Independent Research Support & Transition (FIRST) Awards (R29)
Project #
5R29HG001691-02
Application #
2883190
Study Section
Genome Study Section (GNM)
Program Officer
Brooks, Lisa
Project Start
1998-03-01
Project End
2000-02-28
Budget Start
1999-03-01
Budget End
2000-02-28
Support Year
2
Fiscal Year
1999
Total Cost
Indirect Cost
Name
Rockefeller University
Department
Biostatistics & Other Math Sci
Type
Other Domestic Higher Education
DUNS #
071037113
City
New York
State
NY
Country
United States
Zip Code
10065
Kong, X; Matise, T C (2005) MAP-O-MAT: internet-based linkage mapping. Bioinformatics 21:557-9
Kong, X; Murphy, K; Raj, T et al. (2004) A combined linkage-physical map of the human genome. Am J Hum Genet 75:1143-8
Matise, Tara C; Porter, Christopher J; Buyske, Steven et al. (2002) Systematic evaluation of map quality: human chromosome 22. Am J Hum Genet 70:1398-410
DeWan, Andrew T; Parrado, Antonio R; Matise, Tara C et al. (2002) The map problem: a comparison of genetic and sequence-based physical maps. Am J Hum Genet 70:101-7
DeWan, Andrew T; Parrado, Antonio R; Matise, Tara C et al. (2002) Map error reduction: using genetic and sequence-based physical maps to order closely linked markers. Hum Hered 54:34-44
White, P S; Sulman, E P; Porter, C J et al. (1999) A comprehensive view of human chromosome 1. Genome Res 9:978-88
Marinov, M; Matise, T C; Lathrop, G M et al. (1999) A comparison of two algorithms, MultiMap and gene mapping system, for automated construction of genetic linkage maps. Genet Epidemiol 17 Suppl 1:S649-54