I am a lecturer in the School of Mathematics and Statistics at the University of Sheffield.
Genetic epidemiology, statistical genetics, computational biology, Bayesian model selection.
Abdulaziz Alenazi (Incorporating functional genomic information in the fine-mapping complex disease genes).
Hannuun Yaacob (Using Bayes factors to fine map genes in complex disease).
Valentine Nlebedim (Developing statistical models of bacterial essentiality and fitness using transposon insertion data).
Liam Grimmett (Bayesian approaches to distinguish between galaxy formation models).
Dr. Amy Baddeley (Comparing and developing statistical methods for fine-mapping genes in complex diseases).
Dr. Elizabeth Boggis (Using the Bayesian Normal Gamma prior to identify associated sequence variants in eQTL studies).
Contact me if you are interested in working in Genetic Epidemiology, Statistical Genetics or statistical aspects of Computational Biology.
Walters, K. Sarsenov, R., Too, W.S., Hare, R.K., Paterson, I.C., Lambert, D.W., Brown, S., Bradford, J.R. Comprehensive functional profiling of long non-coding RNAs through pan-cancer integration and modular de-convolution of their protein-coding gene associations. Under revision for PLoS Genetics.
Boggis, E., Milo, M., Walters, K. (2016) eQuIPS: eQTL analysis using informed partitioning of SNPs - a fully Bayesian approach. Genetic Epidemiology, 40: 273-283. Link to journal article
Spencer, A., Cox, A., Lin, W-Y., Easton, D.F., Michailidou, K., Walters, K. (2016) Incorporating functional genomic information in genetic association studies using an empirical Bayes approach. Genetic Epidemiology, 40: 176-187. Open Access Article
Spencer, A., Cox, A., Lin, W.-Y., Easton, D.F., Michailidou, K., Walters, K. (2015) Novel Bayes factors that capture expert uncertainty in prior density specification in genetic association studies. Genetic Epidemiology, 39: 239-248. Open Access Article
Boggis,E.M., Milo, M.M., Walters, K. (2014). Exploiting Adaptive Bayesian Regression Shrinkage to Identify Exome Sequence Variants Associated with Gene Expression. In: The Contribution of Young Researchers to Bayesian Statistics (Lanzarone, E. & Ieva, F., eds.) - Springer Proceedings in Mathematics & Statistics, 63, 135-138.
Spencer, A., Cox, A., Walters, K. (2014) Comparing the efficacy of SNP filtering methods for identifying a single causal SNP in a known association region. Annals of Human Genetics, 78: 50-61. Open Access Article
Bonello, N., Sampson, J., Burn, J., Wilson, I.J., McGrown, G., Margison, G.P., Thorncroft, M., Crossbie, P., Povey, A. C., Santibanez-Koref, M., Walters, K. (2013). Bayesian inference supports a location and neighbour-dependent model of DNA methylation propagation at the MGMT gene promoter in lung tumours. Journal of Theoretical Biology, 336: 87-95. Link to journal article
Walters, K. (2012). Parameter estimation for an immortal model of colonic stem cell division using approximate Bayesian computation. Journal of Theoretical Biology, 306: 104-114. Link to journal article
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