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Statistical genetics is key to understanding genetic variation and expertise is embedded throughout many groups at the WTSI. In addition, the Institute has important long-term collaborative links with leading statistical geneticists in the UK and beyond.

The following links and descriptions give a flavour of the breadth and depth of statistical genetics (as distinct from computational biology) ongoing at the Institute:

• Inês Barroso Association with T2D and metabolic disorders
• Manolis Dermitzakis - Identifying genetic variation influencing gene expression
• Richard Durbin - Fine-mapping using Ancestral Recombination Graphs
• Matthew Hurles - Methods for performing association between CNV and complex traits
• Dominic Kwiatkowski - Association and linkage with Malaria susceptibilty
• Ralph McGinnis - Disease susceptibility and drug response

• CNV Project - Structural variation among primate species
• Manolis Dermitzakis - Identifying fast-evolving sequences
• Richard Durbin - TreeFam and yeast comparative genomics

• Manolis Dermitzakis - Patterns of selection on functional elements
• Matthew Hurles - Inferring gene conversion from patterns of sequence variation
• Dominic Kwiatkowski - Population structure in Africa
• Chris Tyler-Smith - Human evolution and recent functional selection

• Cancer Genome Project - Algorithms for identifying somatic variation
• CNV Project - CNV finding algorithms
• Panos Deloukas and Dominic Kwiatowksi - SNP genotyping algorithms
• Manolis Dermitzakis and Dominic Kwiatowksi - Patterns of sequence variation in Plasmodium
• Richard Durbin - Inference and imputation of sequence variation
• Ralph McGinnis - Algorithms for data filtering and analysis

• David Clayton, Cambridge Institute for Medical Research, University of Cambridge
• Peter Donnelly, Department of Statistics, University of Oxford
• Jonathan Marchini, Department of Statistics, University of Oxford
• Gil McVean, Department of Statistics, University of Oxford
• Simon Tavare, CRUK Cambridge Research Institute, Cambridge
• Nick Wareham, MRC Epidemiology Unit, Cambridge