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Research Projects

We are conducting a wide variety of research to embed the application of genetic epidemiology into population health research. Our advanced epidemiological methods are strengthening research outcomes and providing tailored health approaches.

Explore our research projects by topic or browse all current projects below:

All Research Projects

Leveraging Multi-Generational Linkage Data to Enhance the Prediction of Early-onset Lung Cancer

CI lead: Professor Shyamali Dharmage, Allergy and Lung Function Unit, Melbourne School of Population and Global Health

Biomarkers for prostate cancer risk stratification and outcomes

CI lead: Professor Melissa Southey, Precision Medicine, School of Clinical Sciences, Monash Health Team members: A/Professor Pierre-Antoine Dugué, A/Professor Robert J. MacInnis, Dr Robert O’Reilly, Jared Burke, Dr Fiona Chen

Exploring causal pathways between asthma and COPD and their shared risk factors

CI lead: Professor Shyamali Dharmage, Allergy and Lung Function Unit, Melbourne School of Population and Global Health Team members: Dr Jingwen Zhang, Dr Zhoufeng Ye, A/Professor Shuai Li

Software for the analysis of family data

CI lead: Associate Professor Shuai Li, Centre of Epidemiology and Biostatistics, Melbourne School of Population and Global Health Team members: Dr James Dowty, CEB, MSPGH

Uncovering genetic components of prostate cancer risk independent of PSA levels

From aetiology to improved risk prediction for clinically significant disease Postdoc Recipient: Dr Hamzeh M Tanha, The Daffodil Centre, The University of Sydney, and Cancer Council NSW, Sydney, Australia

Epigenetic signatures of menopause: an integrative analysis

Postdoc Recipient: Dr. Zhoufeng Ye, Centre for Epidemiology and Biostatistics (CEB), University of Melbourne

Enhancing individual-level consistency of breast cancer Polygenic Risk Score (PRS) through machine learning approaches

PhD Recipient: Di Mu, Melbourne School of Population and Global Health, University of Melbourne

Using machine learning to improve polygenic risk scores (PRSs) prediction of colorectal cancer

PhD Recipient: Max Schuran, Melbourne School of Population and Global Health, University of Melbourne

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