In this grant, we propose to focus further work on computational problems in gene mapping studies, with particular emphasis on finding genes for complex traits combining linkage and linkage disequilibrium information. Combining research forces at both the University of Southern California (USC) and the Fred Hutchinson Cancer Research Center (FHCRC), we propose to explore the following approaches for joint linkage and linkage disequilibrium analysis: Maximum likelihood methods using both empirical models for disequilibrium and population genetics models for isolated and admixed populations. Efficient Estimating Equations (EEE) methods for semi-parametric analysis MCMC methods for larger pedigrees than are currently feasible.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
1R01GM058897-01A1
Application #
6052342
Study Section
Epidemiology and Disease Control Subcommittee 2 (EDC)
Program Officer
Eckstrand, Irene A
Project Start
2000-02-01
Project End
2004-01-31
Budget Start
2000-02-01
Budget End
2001-01-31
Support Year
1
Fiscal Year
2000
Total Cost
$504,106
Indirect Cost
Name
University of Southern California
Department
Public Health & Prev Medicine
Type
Schools of Medicine
DUNS #
041544081
City
Los Angeles
State
CA
Country
United States
Zip Code
90089
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