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Quantifying and correcting for the winner's curse in genetic association studies
1Department of Biostatistics and Center for Statistical Genetics, University of Michigan, USA.
Genetic Epidemiology
|January 14, 2009
Summary
The "winner's curse" in genetic studies inflates effect size estimates. This research quantifies this bias and introduces a correction method to improve the accuracy of genetic association findings.
Area of Science:
- Genetics
- Biostatistics
- Epidemiology
Background:
- Genetic association studies identify variants linked to human diseases.
- Estimating the precise effect of these variants on disease risk is crucial.
- Initial estimates often suffer from the "winner's curse," leading to overestimation.
Purpose of the Study:
- To quantify the impact of the "winner's curse" on genetic effect size estimators.
- To develop a method for reducing bias in these estimates.
- To evaluate the performance of the proposed correction method.
Main Methods:
- Analysis of allele frequency difference and odds ratio estimators.
- Application to one- and two-stage case-control association studies.
- Development and application of an ascertainment-corrected maximum likelihood method.
Main Results:
- The "winner's curse" causes upward bias in genetic effect size estimates.
- Overestimation decreases as the statistical power of association studies increases.
- The proposed correction method effectively reduces bias and mean square error.
Conclusions:
- The "winner's curse" is a significant issue in genetic association studies.
- Ascertainment correction is vital for accurate genetic effect size estimation.
- The developed method enhances the reliability of findings from genetic association studies.
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