Dr Jason Wong
Biography: Dr Jason Wong heads the Bioinformatics and Integrative Genomics group at the Lowy Cancer Research Centre and is an ARC Future Fellow at the Prince of Wales Clinical School at the University of New South Wales. He received his B.Sc (Hons I), specialising in Bioinformatics from the University of Sydney in 2002. As an Oxford-Australia scholar, he went on to complete a D.Phil in Bioanalytical Chemistry at the University of Oxford, UK in 2007. This was followed...
Biography: Dr Jason Wong heads the Bioinformatics and Integrative Genomics group at the Lowy Cancer Research Centre and is an ARC Future Fellow at the Prince of Wales Clinical School at the University of New South Wales. He received his B.Sc (Hons I), specialising in Bioinformatics from the University of Sydney in 2002. As an Oxford-Australia scholar, he went on to complete a D.Phil in Bioanalytical Chemistry at the University of Oxford, UK in 2007. This was followed by an Irish Government post-doctoral fellowship at the Conway Institute of Biomolecular & Biomedical Research, University College Dublin, specialising in Chemical Proteomics. In 2008 he returned to Sydney to join UNSW. Since 2008, he has been awarded a UNSW Vice-Chancellor's Post-doctoral Fellowship, a Cancer Institute NSW Early Career Fellowship and an ARC Future Fellowship. His current research is focused on the study of mutational processes and their consequences in gene regulation and function in cancer.
Our research group is interested in understanding how mutations occur in cancer and what effect this has on the way genes are used. Understanding the mechanism by which these mutations form in the genome is important because it can provide us with insights into why cancers develop and how it may be prevented. We are also interested in studying how mutations can generally alter the regulation of gene expression, particularly its affect on transcription factor binding at cis-regulatory elements. Our group is interested in all cancer types, and currently have a strong focus on skin cancers, blood cancers and gastrointestinal cancers.
Our laboratory uses combination of genetic, biochemical and computational methods in our research. In particular, our research makes extensive use of large genomics datasets with a focus on integrative data analysis. For specific information about our research, please visit our group's webpage.
- Perera D*, Poulos RC*, Shah A, Beck D, Pimanda JE, Wong JWH (2016) Differential DNA repair underlies mutation hotspots at active promoters in cancer genomes. Nature 532:259-263
- Poulos RC, Thoms JAI, Shah A, Beck D, Pimanda JE, Wong JWH (2015) Systematic Screening of Promoter Regions Pinpoints Functional Cis-regulatory Mutations in a Cutaneous Melanoma Genome. Mol Cancer Res. 13(8):1218-26
- Poulos RC, Sloane MA, Hesson LB, Wong JWH (2015) The Search for Cis-Regulatory Driver Mutations in Cancer Genomes. Oncotarget. 6(32): 32509-25
- Perera D, Chacon D, Thoms JAI, Poulos RC, Shlien A, Beck D, Campbell PJ, Pimanda JE & Wong JWH (2014) OncoCis: Annotation of cis-regulatory mutations in cancer. Genome Biol. 15:485
- Zarzour P, Boelen L, Luciani F, Beck D, Sakthianandeswaren A, Mouradov D, Sieber OM, Hawkins NJ, Hesson LB, Ward RL, Wong JWH (2015) SNP array profiling identifies distinct chromosomal aberration patterns across colorectal adenomas and carcinomas. Genes Chrom. Cancer 54(5) 303-314
- Beck D, Thoms JAI, Perera D, Unnikrishnan A, Knezevic K, O’Brien TA, Gottgens B, Wong JWH & Pimanda JE (2013) Genome-wide Analysis of Transcriptional Regulators in Human HSPCs Reveals a Densely Interconnected Network of Coding and Non-coding Genes. Blood. 122(14):e12-22
Prizes and distinctions:
Cure Cancer Australia Researcher of the Year (2015)
Australian Research Council Future Fellowship (2014-2017)
Cancer Institute NSW Early Career Development Fellowship (2011-2013)
UNSW VC Postdoctoral Research Fellowship (2010-2012)
Irish Research Council for Science, Engineering and Technology Post-doctoral Fellowship (2007)
Sir Vincent Fairfax Oxford-Australia Scholarship (2003-2006)
Overseas Research Award (UK) (2003-2006)
The functional aspects of the human genome in health and disease through integrative analysis of the different levels of information encoded by the genome - the application of methods in data mining and machine learning to a broad range of problems in genomics, proteomics and molecular evolution with particular focus on cancer biology.