Development of statistical methodology for detection and characterisation of genetic factors in complex disease

The main aim of my research is to develop statistical methodology to detect and characterise genetic variants contributing to common, complex diseases such as type 1 diabetes, asthma, tuberculosis, leprosy, renal and cardiovascular diseases. This research spans the realm of both linkage and association analysis, using both family (pedigree) data and data from unrelated cases and controls. Following localisation of genetic regions that contain susceptibility loci via linkage methods, for many diseases the focus of interest is now identification of causal genetic variants within those regions. In my group we use a variety of statistical methods including regression and data-mining approaches to address this question. A particular feature of our research is on the development of methods for detecting linkage or association with, and modelling the effects at, multiple disease loci simultaneously. This includes loci that may be closely linked (i.e. that map to the same chromosomal region) and that may interact epistatically with one another.

A recent focus of research in my group has been the investigation of methods that appropriately allow for missing data when performing genetic association analysis. This can include missing genotypes and missing haplotype (phase) information. We have compared a number of weighted regression and imputation approaches, and find that a multiple imputation approach performs well when applied to real and simulated case/control and family data. This method comes at the expense of some assumptions (such as Hardy-Weinberg equilibrium), and a more robust but arguably less powerful solution can be achieved for family data by use of a complex conditioning argument.
The methods developed in our group are applied to, and in part inspired by, the data and questions of interest arising from our collaborations with clinical and biological research colleagues.
Rebecca Darlay BSc PhD
MRC Research Associate
Kristin Ayers BS MS PhD
Wellcome Trust Research Associate
Richard Howey
Research Associate BSc PhD