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Relationship between case-control studies and the transmission/disequilibrium test.
1Department of Biostatistics and Epidemiology, The University of Pennsylvania School of Medicine, Philadelphia, PA 19104, USA. lauramit@mail.med.upenn.edu
Genetic Epidemiology
|October 3, 2000
Summary
Case-control studies can detect disease-marker associations, but require confirmation due to confounding. A unified measure, T, derived from transmission/disequilibrium test (TDT) studies, can compare results and estimate sample sizes for TDT studies.
Area of Science:
- Genetics
- Epidemiology
- Statistical genetics
Background:
- Case-control studies are effective for identifying disease susceptibility loci with weak to moderate effects.
- Confounding factors can lead to spurious associations in case-control studies, necessitating confirmation by alternative methods.
- The transmission/disequilibrium test (TDT) is commonly used to validate findings from case-control studies.
Purpose of the Study:
- To develop a single measure for comparing disease-marker associations across case-control and TDT study designs.
- To enable estimation of minimum sample size requirements for TDT studies.
Main Methods:
- The study proposes using the transmission frequency (T) of a marker allele from heterozygous parents to affected offspring as a unified measure.
- It demonstrates that T can be estimated from case-control data with minimal assumptions.
- T is identified as the critical parameter for TDT power calculations and sample size estimations.
Main Results:
- A method is presented to estimate the transmission disequilibrium parameter (T) from case-control data.
- This parameter (T) allows for direct comparison of association magnitudes between case-control and TDT studies.
- T is shown to be essential for determining statistical power and sample size in TDT studies.
Conclusions:
- The transmission disequilibrium parameter (T) provides a robust measure for evaluating disease-marker associations across different study designs.
- Estimating T from case-control data facilitates the planning and interpretation of TDT studies.
- This unified approach enhances the reliability and efficiency of genetic association studies.