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GAW12: simulated genome scan, sequence, and family data for a common disease
L Almasy1, J D Terwilliger, D Nielsen
1Department of Genetics, Southwest Foundation for Biomedical Research, 7620 NW Loop 410, P.O. Box 760549, San Antonio, TX 78245-0549, USA.
Genetic Epidemiology
|January 17, 2002
Summary
Genetic Analysis Workshop (GAW) 12 simulated data explored common disease risk factors. This genetic dataset aids in understanding complex disease inheritance patterns and environmental influences.
Area of Science:
- Genetics
- Biostatistics
- Epidemiology
Background:
- The Genetic Analysis Workshop (GAW) 12 provided simulated data for studying complex diseases.
- The simulated disease was defined by a threshold on a quantitative liability distribution.
- Data included genetic markers, environmental factors, and demographic information.
Purpose of the Study:
- To analyze simulated genetic and environmental data for a common disease.
- To investigate the relationship between risk factors and disease onset.
- To evaluate genetic and environmental contributions to disease liability.
Main Methods:
- Utilized simulated genotype data (2,855 microsatellites) from 1,497 individuals in 23 families.
- Incorporated simulated phenotype data, including quantitative risk factors and environmental variables.
- Analyzed sequence data for seven candidate genes in 1,000 individuals.
Main Results:
- The dataset allowed for the examination of complex disease etiology.
- Simulated risk factors and environmental variables were associated with the disease.
- Genetic and environmental interactions could be investigated.
Conclusions:
- The GAW 12 simulated data is a valuable resource for complex disease research.
- This dataset facilitates the study of genetic and environmental influences on common diseases.
- Findings from analyses using this data can inform future genetic association studies.