2006 Student’s Post-doctoral Fellowship Award (Yun-Hee Choi, Canadian Breast Cancer Foundation- 2 years)
Current Research Projects
Joint analysis of SNP effects in GWAS using Bayesian graphical model
Development of multistate models for risk estimation in Lynch Syndrome families
Modeling of growth child trajectories and search for associated genetic variants and epidemiological risk factors
Development of robust statistical methods for ‘omics data
Modeling of sequencing data in child brain tumors
Estimation of predictive models for prostate cancer progression based on genetic, epigenetic and proteiomic data
Choi Y, Kopciuk K, Briollais L (2008) Bias and efficiency in family-based designs for estimating the risk associated with mutated genes involved in complex diseases. Hum Hered. 66:238-251.
Durrieu G, Briollais L (2009). Sequential designs for microarray experiments. Journal of the American Statistical Association 104:650-660.
Kopciuk KA, Choi YH, Parkhomenko E, Parfrey P, McLaughlin J, Green J, Briollais L. (2009) Penetrance of HNPCC-related cancers in a retrolective cohort of 12 large Newfoundland families carrying a MSH2 founder mutation: an evaluation using modified segregation models. Hered Cancer Clin Pract 7(1):16
Choi YH, Briollais L (2011) An EM Composite likelihood for multistage sampling of family data. Statistica Sinica 21: 231-253.
Sow M, Durrieu G, Briollais L, Ciret P, Massabuau JC (2011) Modeling high-frequency serial valvometry data: a kernel-regression approach. Environmental Monitoring and Assessment 182(1-4):155-70.
Dobra, A., Briollais, L., Jarnazi H, Ozcelik H, Massam H. Applications of the mode oriented stochastic search (MOSS) algorithm for discrete multi-way data to genomewide studies. In Bayesian Modeling in Bioinformatics Taylor & Francis, D. Dey, S. Ghosh and B. Mallick (eds.), 2011, Pages 63-94.
Abarin T, Wu Y, Warrington N, Lye S, Pennell C, Briollais L. (2013) The impact of breastfeeding on FTO-related BMI growth trajectories. International Journal of Epidemiology 41(6):1650-60.
Warrington NM, Wu Y, Pennell CE, Marsh JA, Beilin LJ, Palmer LJ, Lye SJ, Briollais L. (2013) Modelling BMI trajectories in children for genetic association studies. PloS One 8(1):e53897.
Choi YH, Briollais L, Parfrey P, Green J, Kopciuk K. Estimating successive cancer risk in Lynch Syndrome families using a progressive three-state model. Statistics in Medicine 2013. doi: 10.1002/sim.5938.