Complex statistical analyses of genome-wide association studies related to breast and prostate cancers using high performance supercomputing
Grant number: 1033452 | Funding period: 2012 - 2016
Breast and prostate cancers are the most common cancers in Australian women and men. Simple analyses of genome-wide association (GWAS) studies explain only a fraction of why these cancers run in families. The University of Melbourne now has a supercomputer that can conduct much more complex analyses. We will apply these to the world’s GWAS data for breast and prostate cancers. We hope to learn more about the causes of these cancers, and expand an expert Australian workforce in supercomputing.
Related publications (4)
Use of a Novel Nonparametric Version of DEPTH to Identify Genomic Regions Associated with Prostate Cancer Risk
Robert J MacInnis, Daniel F Schmidt, Enes Makalic, Gianluca Severi, Liesel M FitzGerald, Matthias Reumann, Miroslaw K Kapuscinski, Adam Kowalczyk, Zeyu Zhou, Benjamin Goudey, Guoqi Qian, Quang M Bui, Daniel J Park, Adam Freeman, Melissa C Southey, Ali Amin Al Olama, Zsofia Kote-Jarai, Rosalind A Eeles, John L Hopper, Graham G Giles
High performance computing enabling exhaustive analysis of higher order single nucleotide polymorphism interaction in Genome Wide Association Studies
Benjamin Goudey, Mani Abedini, John L Hopper, Michael Inouye, Enes Makalic, Daniel F Schmidt, John Wagner, Zeyu Zhou, Justin Zobel, Matthias Reumann