Project Details
Description
DESCRIPTION: The overall goal of this
project is to evaluate methods for detecting and characterizing genetic
effects on common diseases and their risk factors by statistical genetic
analysis of family and population data. This goal will be pursued by: (1) Continuing the organization of the Genetic Analysis Workshops (GAWs).
For each GAW, topics are chosen that are relevant to current analytical
problems in genetic epidemiology and sets of real or computer-simulated
data are distributed to investigators worldwide. Results of analyses are
discussed and compared at a two day meeting. GAW8 will be held in 1992 and
GAW9 in 1994. Planning and data distribution for GAW10 will be underway by
the end of the requested period of support in 1996. (2) Conducting evaluations of methods of genetic analysis. Some questions
concerning the strengths and limitations of methods of genetic analysis
cannot be properly addressed in a workshop setting, for example, questions
of power, sensitivity, specificity, and robustness of various methods.
Using computer-simulated data, the following issues would be addressed as
they apply to analysis of quantitative traits: (a) detecting the effects
of two or more loci on a trait; and (b) detecting and characterizing
genetic effects in the presence of genotype by environment interaction. (3) Distributing simulation programs, simulated data, and programs for
genetic analysis for use by other investigators. As a byproduct of our
efforts in generating data for the GAWs and in evaluating methods of
genetic analysis, a variety of computer programs and simulated data sets
have been generated that are useful to other investigators. These programs
and data sets will be documented and made available.
project is to evaluate methods for detecting and characterizing genetic
effects on common diseases and their risk factors by statistical genetic
analysis of family and population data. This goal will be pursued by: (1) Continuing the organization of the Genetic Analysis Workshops (GAWs).
For each GAW, topics are chosen that are relevant to current analytical
problems in genetic epidemiology and sets of real or computer-simulated
data are distributed to investigators worldwide. Results of analyses are
discussed and compared at a two day meeting. GAW8 will be held in 1992 and
GAW9 in 1994. Planning and data distribution for GAW10 will be underway by
the end of the requested period of support in 1996. (2) Conducting evaluations of methods of genetic analysis. Some questions
concerning the strengths and limitations of methods of genetic analysis
cannot be properly addressed in a workshop setting, for example, questions
of power, sensitivity, specificity, and robustness of various methods.
Using computer-simulated data, the following issues would be addressed as
they apply to analysis of quantitative traits: (a) detecting the effects
of two or more loci on a trait; and (b) detecting and characterizing
genetic effects in the presence of genotype by environment interaction. (3) Distributing simulation programs, simulated data, and programs for
genetic analysis for use by other investigators. As a byproduct of our
efforts in generating data for the GAWs and in evaluating methods of
genetic analysis, a variety of computer programs and simulated data sets
have been generated that are useful to other investigators. These programs
and data sets will be documented and made available.
| Status | Finished |
|---|---|
| Effective start/end date | 4/1/83 → 7/31/17 |
Funding
- National Institutes of Health: $586,925.00
- National Institutes of Health: $627,619.00
- National Institutes of Health: $586,304.00
- National Institutes of Health: $49,228.00
- National Institutes of Health: $568,091.00
- National Institutes of Health: $586,464.00
- National Institutes of Health: $48,736.00
- National Institutes of Health: $461,006.00
ASJC
- Medicine(all)
- Biochemistry, Genetics and Molecular Biology(all)
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.