Mary is a Teaching Associate in Medical Statistics and Assessment in the Public Health Education Group.
Mary did her PhD under the supervision of Dr Chris Wallace, working on colocalisation analysis in dependent datasets and methods for fitting models of genetic causality to summary GWAS data. She then worked with Dr Adrian Mander on designing clinical trials for dementia embedded within a cohort.
Fortune MD and Wallace C. simGWAS: a fast method for simulation of large scale case–control GWAS summary statistics. Bioinformatics, bty898. 2018. PMC30371734
Peters JE, Lyons PA, Lee JC, Richard AC, Fortune MD, Newcombe PJ, Richardson S, and Smith KGC. Insight into Genotype-Phenotype Associations through eQTL Mapping in Multiple Cell Types in Health and Immune-Mediated Disease. PLoS genetics 12(3):e1005908. 2016. PMC4807835
Fortune MD, Guo H, Burren O, Schofield E, Walker NM, Ban M, Sawcer SJ, Bowes J, Worthington J, Barton A, Eyre S, Todd JA, and Wallace C. Statistical colocalization of genetic risk variants for related autoimmune diseases in the context of common controls. Nat Genet, 47:839$-$846. 2015. PMC4754941
Onengut-Gumuscu S, Chen WM, Burren O, Cooper NJ, Quinlan AR, Mychaleckyj JC, Farber E, Bonnie JK, Szpak M, Schofield E, Achuthan P, Guo H, Fortune MD, Stevens H, Walker NM, Ward LD, Kundaje A, Kellis M, Daly MJ, Barrett JC, Cooper JD, Deloukas P, Type 1 Diabetes Genetics Consortium, *Todd JA, *Wallace C, *Concannon P, and *Rich SS. Fine mapping of type 1 diabetes susceptibility loci and evidence for colocalization of causal variants with lymphoid gene enhancers. Nat Genet, 47:381$-$386. 2015. PMC4380767
Guo H, Fortune MD, Burren OS, Schofield E, Todd JA, and Wallace C. Integration of disease association and eqtl data using a bayesian colocalisation approach highlights six candidate causal genes in immune-mediated diseases. Hum Mol Genet, 24:3305$-$3313. 2015. PMC4498151
Evangelou M, Smyth DJ, Fortune MD, Burren OS, Walker NM, Guo H, Onengut-Gumuscu S, Chen WM, Concannon P, Rich SS, Todd JA, and Wallace C. A method for gene-based pathway analysis using genomewide association study summary statistics reveals nine new type 1 diabetes associations. Genet Epidemiol, 38(8):661$-$670. 2014. PMC4258092