Block-based Bayesian epistasis association mapping with application to WTCCC type 1 diabetes data

Keyphrases

• Single nucleotide Polymorphism 100%
• Epistasis 100%
• Type 1 Diabetes Mellitus (T1DM) 100%
• Association Mapping 100%
• Type I Diabetes 100%
• Block-based 100%
• Linkage Disequilibrium 44%
• MHC Region 22%
• Simulation Study 11%
• Population Data 11%
• MHC Class I 11%
• HLA-A 11%
• Multilocus Approach 11%
• Classification Problem 11%
• Long Distance 11%
• Whole Genome 11%
• Posterior Probability 11%
• Multiple Genes 11%
• MHC Class II 11%
• HLA-B 11%
• Associated Genes 11%
• Cytotoxic T-lymphocyte antigen-4 (CTLA-4) 11%
• Single nucleotide Polymorphism Markers 11%
• Bayesian Methods 11%
• Case-control Design 11%
• Joint Association 11%
• Recombination Hotspots 11%
• Homogeneous Population 11%
• Block Partition 11%
• Case-control Data 11%
• Interactions between Genes 11%
• MHC Class II Genes 11%

Biochemistry, Genetics and Molecular Biology

• Single-Nucleotide Polymorphism 100%
• Association Mapping 100%
• Gene Linkage Disequilibrium 40%
• MHC Class II 20%
• Haplotype 10%
• HLA-A 10%
• MHC Class I 10%
• Class II Gene 10%
• HLA-B 10%
• PTPN22 10%
• IL2RA 10%

Mathematics

• Bayesian 100%
• Simulation Study 50%
• Classification Problem 50%
• Probability Theory 50%
• Covariate 50%