Genetics and Genomics Commons^™

Gene, Pathway And Network Frameworks To Identify Epistatic Interactions Of Single Nucleotide Polymorphisms Derived From Gwas Data, Yu Liu, Sean Maxwell, Tao Feng, Xiaofeng Zhu, Robert C. Elston, Mehmet Koyutürk, Mark R. Chance

Faculty Scholarship

Background: Interactions among genomic loci (also known as epistasis) have been suggested as one of the potential sources of missing heritability in single locus analysis of genome-wide association studies (GWAS). The computational burden of searching for interactions is compounded by the extremely low threshold for identifying significant p-values due to multiple hypothesis testing corrections. Utilizing prior biological knowledge to restrict the set of candidate SNP pairs to be tested can alleviate this problem, but systematic studies that investigate the relative merits of integrating different biological frameworks and GWAS data have not been conducted.Results: We developed four biologically based frameworks to …