Using hierarchical modeling in genetic association studies with multiple markers: Application to a case-control study of bladder cancer

Keyphrases

• Confidence Interval 100%
• Bladder Cancer 100%
• Genetic Association Studies 100%
• Multiple Markers 100%
• Hierarchical Modeling 100%
• Gene-environment Interaction 75%
• Genotype 50%
• Odds Ratio 50%
• Residual Effect 50%
• Hierarchical Model 50%
• False Association 50%
• Genetic Factors 25%
• Environmental Factors 25%
• Single nucleotide Polymorphism 25%
• Risk Estimation 25%
• Cigarette Smoking 25%
• Epidemiologic Studies 25%
• Multiple Comparisons 25%
• Conventional Analysis 25%
• Myeloperoxidase 25%
• N-acetyltransferase 2 (NAT2) 25%
• Stage Model 25%
• Stage Design 25%
• Design Matrix 25%
• Empirical Bayes Approach 25%
• Product Terms 25%
• Bayes Approach 25%

Biochemistry, Genetics and Molecular Biology

• Case-Control Study 100%
• Genetic Association Study 100%
• Gene-Environment Interaction 100%
• Genetics 66%
• Genotyping 66%
• Candidate Gene 33%
• Single-Nucleotide Polymorphism 33%
• N-Acetyltransferase 1 33%
• Myeloperoxidase 33%

Neuroscience

• Single-Nucleotide Polymorphism 100%
• Myeloperoxidase 100%
• N-Acetyltransferase 100%