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Case-control association studies with matching and genomic controlling.
1Graduate Institute of Epidemiology, College of Public Health, National Taiwan University, Taipei, Taiwan. wenchung@ha.mc.ntu.edu.tw
Genetic Epidemiology
|June 9, 2004
Summary
This study introduces a novel case-control design for mapping complex disease genes, controlling for population stratification using matching and genomic control. This method simplifies genetic studies by avoiding difficult family recruitment.
Area of Science:
- Genetics
- Epidemiology
- Biostatistics
Background:
- Family-based association studies are popular for mapping complex disease genes.
- Recruiting family controls presents significant challenges compared to unrelated controls.
Purpose of the Study:
- To propose a case-control study design that mitigates biases from population stratification.
- To offer a simpler alternative to family-based studies for gene mapping.
Main Methods:
- Utilizes matching on stratum-delineating variables (e.g., race, ancestry) during study design.
- Employs genomic controlling in data analysis using null markers and chi-square distribution scaling.
- Investigates the impact of matching quality and control-to-case ratio on study power via computer simulations.
Main Results:
- Careful matching increases study power; crude matching maintains type I error rate.
- The number of affected subjects needed is comparable to case-parent designs in homogeneous populations.
- Increasing the control-to-case matching ratio significantly reduces the required number of affected subjects.
Conclusions:
- The proposed case-control design with matching and genomic controlling offers a viable alternative to family-based studies.
- This approach simplifies complex genetic mapping by integrating epidemiologic methods.
- It effectively addresses population stratification, a key challenge in genetic association studies.