Conference Proceedings

GWISFI: A universal GPU interface for exhaustive search of pairwise interactions in case-control GWAS in minutes

Q Wang, F Shi, A Kowalczyk, RM Campbell, B Goudey, D Rawlinson, A Harwood, H Ferra, A Kowalczyk

Proceedings 2014 IEEE International Conference on Bioinformatics and Biomedicine IEEE Bibm 2014 | Published : 2014

Abstract

Epistatic interactions between genes are believed to be a critical component in the genetic architecture of complex diseases. Genome Wide Association Studies (GWAS) may be able to detect such genetic interactions indirectly, via the identification of associated SNP markers. Major obstacles to progress in this area are: the unknown nature of epistatic interactions, little understanding of the capabilities of different filtering methods, and the computational difficulties for exhaustive analysis. A common platform enabling various detection methods is needed to avoid practical issues such as software compatibility and portability, incompatible input and output formats and varying demands on co..

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University of Melbourne Researchers