A Bayesian Partitioning Model for the Detection of Multilocus Effects in Case-Control Studies

Conclusion: We demonstrate that our approach has better power to detect multilocus interactions than several existing approaches. When applied to the ARIC study dataset with 9,328 individuals to study gene-based associations for type 2 diabetes, our method identified some novel variants not detected by conventional single-locus association analyses.Hum Hered 2015;79:69-79
Source: Human Heredity - Category: Genetics & Stem Cells Source Type: research