Work Strand 6 focuses on data integration
A unique aspect of the STOP-HCV consortium is the availability of complimentary datasets on a common set of samples. This allows for integrative analysis, using all of the data for improved scientific understanding of the mechanisms underlying heterogeneity of disease susceptibility and progression, as well as host-viral interaction and implications for therapeutic response.
The joint data will also enable an integrative approach to biomarker panel construction using genetic, genomic, and serum marker data, informed by the in vitro immunity experiments.
The objective of this Work Strand is to undertake integrative analysis of the information generated by Work Strands 2 – 5 to enable prediction models to be designed.
This Work Strand is led by Professor Chris Holmes (University of Oxford).