The discipline of genetic epidemiology has had much success in elucidating the etiologies of simple Mendelian disorders and locating the genes involved. Interest has now turned to more complex phenotypes, involving multiple genetic and environmental factors and further complicated by the possibility of interactions between these factors. While a variety of methods for dealing with complex phenotypes have already been introduced, still further methodological advances are necessary to take full advantage of the information contained in multivariate data sets and to explore all the possible genetic and environmental interactions. The purpose of this project is to assess the power and performance of variance component linkage methods to deal with multivariate data, oligogenic linkage, epistasis and pleiotropy. These methods will be evaluated on simulated data and then used to explore the genetic architecture of two complex multivariate data sets, one randomly selected and one ascertained through an affected proband. This project will provide valuable information about the use of variance component linkage methods for complex phenotypes and will generate information regarding the genetics of insulin like growth factors and brain wave patterning.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Postdoctoral Individual National Research Service Award (F32)
Project #
1F32GM018897-01
Application #
2021675
Study Section
Genome Study Section (GNM)
Project Start
1997-08-19
Project End
Budget Start
1997-08-01
Budget End
1998-07-31
Support Year
1
Fiscal Year
1997
Total Cost
Indirect Cost
Name
Southwest Foundation for Biomedical Research
Department
Type
DUNS #
City
San Antonio
State
TX
Country
United States
Zip Code
78245
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