Speaker Weichuan Yu, Ph.D. Associate Professor Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Time: 9:00 – 11:00AM, June 12, 2013 Place: FIT 1-312 ABSTRACT: Gene-gene interactions have long been recognized to be fundamentally important to understand genetic causes of complex disease traits. At present, identifying gene-gene interactions from genome-wide case-control studies is computationally and methodologically challenging. In this talk, we introduce a new method, named BOolean Operation based Screening and Testing(BOOST). To discover unknown gene-gene interactions that underlie complex diseases, BOOST allows examining all pair-wise interactions in genome-wide case-control studies in a remarkably fast manner. We have carried out interaction analyses on seven data sets from the Wellcome Trust Case Control Consortium (WTCCC). Each analysis took less than 60 hours on a standard 3.0 GHz desktop with 4G memory running Windows XP system. The interaction patterns identified from the type 1 diabetes data set display significant difference from those identified from the rheumatoid arthritis data set, while both data sets share a very similar hit region in the WTCCC report. BOOST has also identified many undiscovered interactions between genes in the major histocompatibility complex (MHC) region in the type 1 diabetes data set. In the coming era of large-scale interaction mapping in genome-wide case-control studies, our method can serve as a computationally and statistically useful tool.
- Gene Expression and Transcriptional Regulation
- RNA Regulation: miRNA and beyond
- Alternative Splicing
- High-Throughput Omics Data Mining
- Genetic Polymorphism & Complex Diseases
- Bioinformatics in Epigenetics
- Computational Systems Biology
- Traditional Chinese Medicine and Systems Medicine
- Synthetic Biology
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