Chris Wallace is a Wellcome Trust Senior Research Fellow at the University of Cambridge and joined the MRC BSU as an honorary Programme Leader in February 2016. Prior to this, she held fellowships from the Wellcome Trust and the British Heart Foundation at other institutes in Cambridge and Queen Mary University of London, where she worked on various aspects of statistical genomics. Her focus is on the twin goals of using genomic analysis to make meaningful contributions to the understanding of human autoimmune disease and the development of statistical methodology to enable these contributions.
BSU Research overview
In the last ten years, genomewide association studies have identified hundreds of associations between genetic variation and autoimmune disease, but translation to biologicial understanding and clinical impact has been slow.
Chris Wallace's new research programme has two complementary aims. First, to develop the statistical tools needed to robustly and empirically link each genetic association with a gene, cell type, stimulatory condition and ultimately a biological pathway. Specifically, this requires methods for:
- horizontal integration of different layers of omics data
- adjustment for correlation and structure in omics data when testing association, without compromising computational efficiency
- "fine mapping" causal genetic variants from amongst associated variants in genetic association data
While the methods are broadly applicable across a range of common complex diseases, Chris's second aim is to use the methods to understand the causes of autoimmune diseases, the links between different diseases, and identify pharmaceutical targets and opportunities for pharmaceutical re-purposing.
For further details of my group's research, including papers and code, see chr1swallace.github.io.
- Liley J, Wallace C. (2015)
A Pleiotropy-Informed Bayesian False Discovery Rate Adapted to a Shared Control Design Finds New Disease Associations From GWAS Summary Statistics.
PLoS genetics vol. 11, no. 2, pp. e1004926.:
- Wallace C, Cutler AJ, Pontikos N, Pekalski ML, Burren OS, Cooper JD, García AR, Ferreira RC, Guo H, Walker NM, Smyth DJ, Rich SS, Onengut-Gumuscu S, Sawcer SJ, Ban M, Richardson S, Todd JA, Wicker LS (2015)
Dissection of a Complex Disease Susceptibility Region Using a Bayesian Stochastic Search Approach to Fine Mapping
PLoS genetics vol. 11, no. 5, pp. e1005272.:
- Wallace C. (2013)
Statistical testing of shared genetic control for potentially related traits.
Genetic epidemiology vol. 37, no. 8, pp. 802-813:
- Giambartolomei C, Vukcevic D, Schadt EE, Franke L, Hingorani AD, Wallace C, Plagnol V. (2014)
Bayesian test for colocalisation between pairs of genetic association studies using summary statistics.
PLoS genetics vol. 10, no. 5, pp. e1004383.:
- Burren OS, Guo H, Wallace C. (2014)
VSEAMS: A pipeline for variant set enrichment analysis using summary GWAS data identifies IKZF3, BATF and ESRRA as key transcription factors in type 1 diabetes.
Bioinformatics (Oxford, England),