Statistical methods for the analysis of genome-wide association and re-sequencing studies

The theme of Andrew’s research is the development, evaluation and application of novel statistical methodology for the analysis of the ‘next generation’ of genome-wide association studies (GWAS) of complex human traits. His research considers common and rare genetic variation from diverse ethnic groups, interrogated through traditional GWAS genotyping arrays, supplemented by imputation, and through state of the art whole-exome or whole-genome re-sequencing studies. The methodology is being applied to GWAS of a range of complex traits, with a focus on cutting edge studies investigating the genetic basis of type 2 diabetes and related metabolic phenotypes, endometriosis, and response to pharmaceutical drugs.