Claudio Verzilli PhD

Background

I completed my PhD in Biostatistics at the London School of Hygiene and Tropical Medicine in 2002. I then moved to Imperial College London as a research associate working on statistical methods for predicting the effect of genetic variation on protein functionality. I rejoined the School in April 2005 as a Research Council UK Academic Fellow in Statistical Genetics.

Research

My current research interests focus on Bayesian methods applied to post-genomic data analysis with a particular emphasis on problems of variable selection and data mining.

Selected publications

• De iorio M, Verzilli CJ (2007) A spatial probit model for fine-scale mapping of disease genes. Genet Epidemiol (In press)
• Verzilli CJ, Stallard N and Whittaker JC (2006) Bayesian graphical models for genomewide association studies. Am J Hum Gen 79:100-112
• Verzilli CJ, Stallard N, Whittaker JC (2005) Bayesian modelling of multivariate quantitative traits using seemingly unrelated regressions. Genet Epidemiol 4:313-25
• Verzilli CJ, Whittaker JC, Stallard N, Chasman D (2005) A hierarchical Bayesian model for predicting the functional consequences of amino acid polymorphisms. J Roy Statist Soc C 54:191-207

Software

Graphminer: R package implementing the methods described in Verzilli CJ, Stallard N, Whittaker JC (2006), Bayesian graphical models for genomewide association studies, Am J Hum Genet 79:100-112

Download the source code. A binary version for Windows is also available here.