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A Hardy-Weinberg equilibrium test for analyzing population genetic surveys with complex sample designs
Ramal Moonesinghe1, Ajay Yesupriya, Man-Huei Chang
1Office of Minority Health and Health Disparities, 4770 Buford Highway, Mailstop E-67, Atlanta, GA 30341, USA. rmoonesinghe@cdc.gov
American Journal of Epidemiology
|March 19, 2010
Summary
Researchers developed a new Hardy-Weinberg equilibrium test for complex survey data. This method accounts for sample weights and correlations, offering more accurate variance estimates in genetic association studies.
Area of Science:
- Population Genetics
- Statistical Genetics
- Survey Methodology
Background:
- Hardy-Weinberg equilibrium testing is crucial for genetic association studies.
- Standard methods assume simple random sampling, which is unsuitable for complex survey designs.
- Complex surveys introduce sample weights and data correlations that can bias results.
Purpose of the Study:
- To develop and present a Hardy-Weinberg equilibrium test adjusted for complex survey designs.
- To provide a method that accounts for sample weights and intra-participant correlations.
- To improve the accuracy of genetic association studies using survey data.
Main Methods:
- A novel test for Hardy-Weinberg equilibrium was developed by adjusting existing procedures.
- The test incorporates sample weights and accounts for data correlation inherent in complex surveys.
- Adjustments were implemented using SAS statistical software procedures for complex survey data analysis.
Main Results:
- Survey-adjusted and unadjusted disequilibrium coefficient estimates were similar within self-reported race/ethnic groups.
- Significant differences were observed in the variance estimates of the disequilibrium coefficient between the two methods.
- The adjusted test accounts for clustering and potential relatedness within households.
Conclusions:
- The survey-adjusted Hardy-Weinberg equilibrium test is recommended for genetic data from complex surveys.
- This method provides more accurate variance estimates by considering survey design features.
- Accurate assessment of Hardy-Weinberg equilibrium is vital for reliable genetic association findings.
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