Publications by Statistical Genetics and Epidemiology

Our research spans areas of statistical genetics, in particular the development of powerful statistical approaches to analyse genetic data, as well as studying infectious diseases.

Holmes, C. et al. (2005) “Bayesian Prediction via Partitioning”, Journal of Computational and Graphical Statistics, 14(4), pp. 811–830.

Heard, N. et al. (2005) “Bayesian coclustering of Anopheles gene expression time series: Study of immune defense response to multiple experimental challenges”, Proceedings of the National Academy of Sciences of the United States of America, 102(47), pp. 16939–16944.

Myers, S. et al. (2005) “A Fine-Scale Map of Recombination Rates and Hotspots Across the Human Genome”, Science, 310(5746), pp. 321–324.

Gallagher, K. et al. (2005) “Low temperature thermochronology and modeling strategies for multiple samples 1: Vertical profiles”, Earth and Planetary Science Letters, 237(1-2), pp. 193–208.

Jeffreys, A. et al. (2005) “Human recombination hot spots hidden in regions of strong marker association”, Nature Genetics, 37(6), pp. 601–606.

Horner, B. et al. (2005) “Case-controlled study of patients with self-inflicted burns”, Burns, 31(4), pp. 471–475.

Kim, H.-M., Mallick, B. and Holmes, C. (2005) “Analyzing Nonstationary Spatial Data Using Piecewise Gaussian Processes”, Journal of the American Statistical Association, 100(470), pp. 653–668.

Winckler, W. et al. (2005) “Comparison of Fine-Scale Recombination Rates in Humans and Chimpanzees”, Science, 308(5718), pp. 107–111.

Jasra, A., Holmes, C. and Stephens, D. (2005) “Markov Chain Monte Carlo Methods and the Label Switching Problem in Bayesian Mixture Modeling”, Statistical Science, 20(1).

Gallagher, K. et al. (2005) “Exploiting 3D Spatial Sampling in Inverse Modeling of Thermochronological Data”, Reviews in Mineralogy and Geochemistry, 58(1), pp. 375–387.