Genetic epidemiology, statistical genetics, computational biology, Bayesian model selection, variational inference.
Dr. Amy Baddeley, 2010-14 (Comparing and developing statistical methods for fine-mapping genes in complex diseases).
Dr. Elizabeth Boggis, 2010-14 (Using the Bayesian Normal Gamma prior to identify associated sequence variants in eQTL studies).
Dr. Abdulaziz Alenazi, 2013-17 (Fine-mapping complex disease genes with incomplete functional genomic information using shrinkage priors).
Dr. Hannuun Yaacob, 2015-2019 (Bayesian fine mapping of complex disease genes utilising estimates of the number of yet-to-be-discovered SNPs).
Dr. Valentine Nlebedim, 2016-2020 (Bayesian approaches to classifying essential bacterial genes using next generation transposon insertion data).
Dr. Liam Grimmett, started 2016 - 2020 (Robust Bayesian methods to distinguish between galaxy formation models).
Walters, K., Cox, A., Yaacob, H. (2021) The utility of the Laplace effect size prior distribution in Bayesian fine-mapping studies. Genetic Epidemiology, 45: 386-401.
Grimmett, L.P, Mullaney, J.R., Bernhard, E., Harrison, C.M, Alexander, D.M., Stanley, F., Masoura, V.A., Walters, K. (2020) A binning-free method reveals a continuous relationship between galaxies' AGN power and offset from main sequence. MNRAS, 495: 1392-1402.
Grimmett, L.P, Mullaney, J.R., Jin. S., Bernhard, E., Daddi, E., Walters, K. (2019) Revealing the differences in the SMBH accretion rate distributions of starburst and non-starburst galaxies. MNRAS, 487: 4071-4082.
Walters, K., Cox, A., Yaacob, H. (2019) Using GWAS top hits to inform priors in Bayesian fine-mapping association studies. Genetic Epidemiology, 43: 675-689.
Alenazi, A. A., Cox, A., Juarez, M,. Lin, W-Y., Walters, K. (2019) Bayesian variable selection using partially observed categorical prior information in fine-mapping association studies. Genetic Epidemiology, 43: 690-703
Walters, K. Sarsenov, R., Too, W.S., Hare, R.K., Paterson, I.C., Lambert, D.W., Brown, S., Bradford, J.R. (2019) Comprehensive functional profiling of long non-coding RNAs through pan-cancer integration and modular de-convolution of their protein-coding gene associations. BMC Genomics, 20:454 .
Boggis, E., Milo, M., Walters, K. (2016) eQuIPS: eQTL analysis using informed partitioning of SNPs - a fully Bayesian approach. Genetic Epidemiology, 40: 273-283.
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.
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.
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.
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.
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.
R data and code for the paper entitled "The utility of the Laplace effect size prior distribution in Bayesian fine-mapping studies"
finemappingr package needed for the paper entitled "The utility of the Laplace effect size prior distribution in Bayesian fine-mapping studies"
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