Computational Modelling Group

Epidemiology

Epidemiology is concerned with studying illness and disease in populations. Major concerns of epidemiology include modelling the spread and control of infectious diseases (e.g. flu), and identifying risk factors for common diseases (e.g. heart disease and cancer).

For more information, see the Epidemiology page on Wikipedia.

For queries about this topic, contact Richard Edwards.

View the calendar of events relating to this topic.

Projects

A composite likelihood approach to genome-wide data analyses.

Andrew Collins (Investigator), Jane Gibson, Ioannis Politopoulos

We describe composite likelihood-based analysis of a genome-wide breast cancer case-control sample by determining genome regions of fixed size on a linkage disequilibrium map which delimit comparable levels of linkage disequilibrium. Analysis of findings suggests further validation in more samples from other cohorts as well as the exploitation of novel computationally-intensive methods such as next-generation sequencing.

People

Andrew Collins
Professor, Medicine (FM)
John Holloway
Professor, Medicine (FM)
Tiina Roose
Reader, Engineering Sciences (FEE)
Jane Gibson
Research Fellow, Medicine (FM)
Johanna Jefferies
Research Fellow, Medicine (FM)
Rebecca Gladstone
Postgraduate Research Student, Medicine (FM)
Tom Hebbron
Postgraduate Research Student, Electronics and Computer Science (FPAS)
Elisabeth zu-Erbach-Schoenberg
Postgraduate Research Student, Management (FBL)
Matthew Higgins
Undergraduate Research Student, Biological Sciences (FNES)
Elena Vataga
Technical Staff, iSolutions
Petrina Butler
Administrative Staff, Research and Innovation Services
Kieren Lythgow
Alumnus, Health Protection Agency
Caroline Duignan
None, None
Stephen Green
None, None