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Kevin Walters



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Research Interests

Genetic epidemiology, statistical genetics, computational biology, Bayesian model selection, variational inference.

Former & current PhD students

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).

Senior author publications

Nlebedim, V.U., Chaudhuri, R., Walters, K.. (Bioinformatics, In press) Probabilistic Identification of Bacterial Essential Genes via insertion density using TraDIS Data with Tn5 libraries.

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 packages and code for papers

Normal Gamma Package for the paper entitled "Bayesian variable selection using partially observed categorical prior information in fine-mapping association studies"

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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Updated May, 2020.