Dr Scott C. Ritchie completed has a background in computer science and bioinformatics, completing his studies at the University of Melbourne, Australia. He completed his Bachelor of Computer Science in 2010, and received a M.Sc (Bionformatics) with distinction from the University of Melbourne in 2012 before undertaking his PhD studies in Systems Genomics in the Department of Pathology at the University of Melbourne in 2013. He completed his PhD in 2017, with thesis titled “Network approaches to understanding biomarker biology”.
Dr Ritchie’s current research interests are in the functional consequences of polygenic (risk) scores using multi-omics data, and how these might lead to new insights in disease prevention and treatment.
1. Ritchie SC et al. Integrative analysis of the plasma proteome and polygenic risk of cardiometabolic diseases. Nature Metabolism 3, 1476–1483 (2021).
2. Ritchie SC et al. Elevated serum alpha-1 antitrypsin is a major component of GlycA-associated risk for future morbidity and mortality. PLoS One 14, e0223692 (2019).
3. Kettunen J & Ritchie SC et al. Biomarker Glycoprotein Acetyls Is Associated With the Risk of a Wide Spectrum of Incident Diseases and Stratifies Mortality Risk in Angiography Patients. Circulation: Genomic and Precision Medicine 11, e002234 (2018).
4. Ritchie SC et al. A Scalable Permutation Approach Reveals Replication and Preservation Patterns of Network Modules in Large Datasets. Cell Systems 3 71–82 (2016).
5. Ritchie SC et al. The Biomarker GlycA Is Associated with Chronic Inflammation and Predicts Long-Term Risk of Severe Infection. Cell Systems 1 293–301 (2015).
Google Scholar: https://scholar.google.com/citations?user=K8qTnLUAAAAJ