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A powerful approach for association analysis incorporating imprinting effects.
Fan Xia1, Ji-Yuan Zhou, Wing Kam Fung
1Department of Statistics and Actuarial Science, The University of Hong Kong, Hong Kong.
Bioinformatics (Oxford, England)
|July 30, 2011
Summary
This study introduces new statistical tests that extend the transmission disequilibrium test (TDT) to account for parental imprinting effects in genetic association studies, significantly improving detection power.
Area of Science:
- Genetics
- Statistical Genetics
- Bioinformatics
Background:
- The transmission disequilibrium test (TDT) is a robust family-based design for genetic association studies.
- Extensions like 1-TDT accommodate incomplete nuclear families.
- Parental imprinting's influence on heritability necessitates incorporating imprinting effects into variant mapping.
Purpose of the Study:
- To extend TDT-type statistics to incorporate parental imprinting effects.
- To develop novel test statistics within a two-stage framework for association studies.
- To enhance the power of detecting genetic associations influenced by imprinting.
Main Methods:
- Developed new TDT-type statistics for association studies incorporating imprinting.
- Utilized a general two-stage framework accommodating complete and incomplete nuclear families.
- Verified test statistics validity and compared power through simulation studies.
Main Results:
- Proposed test statistics are valid under various scenarios and improve power in the presence of imprinting effects.
- The methods do not require assumptions of Hardy-Weinberg equilibrium.
- Demonstrated practical advantage through application to a rheumatoid arthritis dataset.
Conclusions:
- The novel methods effectively incorporate imprinting effects into genetic association studies.
- These enhanced TDT-type statistics offer greater power for detecting imprinting-influenced associations.
- The approach is applicable to diverse family structures and disease datasets.
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