%A Huang,Yang %A Wuchty,Stefan %A Przytycka,Teresa %D 2013 %J Frontiers in Genetics %C %F %G English %K eQTL,Epostasis,Genetic association,Genetic crosses,network modules %Q %R 10.3389/fgene.2013.00051 %W %L %M %P %7 %8 2013-May-31 %9 Review %+ Dr Teresa Przytycka,National Insitutes of Health,National Center of Biotechnology Information,8600 Rockville Pike,Bethesda MD,20894,Maryland,United States,przytyck@ncbi.nlm.nih.gov %# %! eQTL epistasis %* %< %T eQTL Epistasis – Challenges and Computational Approaches %U https://www.frontiersin.org/articles/10.3389/fgene.2013.00051 %V 4 %0 JOURNAL ARTICLE %@ 1664-8021 %X The determination of expression quantitative trait loci (eQTL) epistasis – a form of functional interaction between genetic loci that affect gene expression – is an important step toward the thorough understanding of gene regulation. Since gene expression has emerged as an “intermediate” molecular phenotype eQTL epistasis might help to explain the relationship between genotype and higher level organismal phenotypes such as diseases. A characteristic feature of eQTL analysis is the big number of tests required to identify associations between gene expression and genetic loci variability. This problem is aggravated, when epistatic effects between eQTLs are analyzed. In this review, we discuss recent algorithmic approaches for the detection of eQTL epistasis and highlight lessons that can be learned from current methods.