Tools for efficient epistasis detection in genome-wide association study |
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| Authors: | Zhang Xiang Huang Shunping Zou Fei Wang Wei |
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| Affiliation: | (1) Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA;(2) Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA |
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| Abstract: | Background Genome-wide association study (GWAS) aims to find genetic factors underlying complex phenotypic traits, for which epistasis or gene-gene interaction detection is often preferred over single-locus approach. However, the computational burden has been a major hurdle to apply epistasis test in the genome-wide scale due to a large number of single nucleotide polymorphism (SNP) pairs to be tested. |
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