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Dr. Laurent Briollais
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Dr. Laurent Briollais 
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Biostatistician and statistical geneticist Dr. Laurent Briollais develops new statistical methods and designs to study cancer and other complex human disorders. In particular, he aims to identify the genetic and environmental factors that cause these diseases in order to improve prevention and treatment.


With an ever-increasing volume of data generated by large-scale genetic and genomic studies, Dr. Briollais' team faces important challenges in order to provide meaningful statistical results that can then be interpreted by the biologists and lead to critical clinical applications. Dr. Briollais and his team lend their expertise to colleagues internationally, and play a critical role in the development and analysis of large-scale population studies to determine genetic and environmental factors that contribute to a variety of complex human diseases.


Within the Lunenfeld, Dr. Briollais works with Dr. Hilmi Ozcelik to study the genetic susceptibility to breast cancer that aims to improve our understanding of this disease and to better predict its risks in the general population. As part of an interdisciplinary CIHR team grant chaired by Dr. John McLaughlin on the determinants and impact of colorectal cancer, he is leading a statistical group to develop analytical methods in relation to the various projects of this research. With Dr. Steve Lye and international collaborators in Australia, he is also developing specific statistical methods to elucidate the role of gene-environment interactions underlying the development origin of health and adult diseases. Finally, he has recently been awarded a MITACS grant to develop a graphical modeling framework to study complex dependence patterns in high-dimensional biological data.

 

 
 
Samuel Lunenfeld Research Institute
Mount Sinai Hospital
Joseph and Wolf Lebovic Health Complex
600 University Avenue
Toronto Ontario M5G 1X5
Tel: 416-586-4800 ext.8863
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Jul 15, 2009 05:05 PM

     

At a Glance

  • Dr. Laurent Briollais uses and develops complex statistical tools to model the effects of genes and environmental factors associated with complex human diseases
  • Identifies genomic variations that best predict breast cancer risks

 

 

Major Research Activities

Dr. Laurent Briollais’ research program focuses on the development of statistical methods and study designs to identify and characterize genetic and environmental risk factors that influence complex human diseases at the population level. Recently, he has been working on the development and application of innovative computational and statistical approaches to identify genomic variations and their interactions that best characterize and predict breast cancer risks. This work is done in collaboration with molecular geneticists, clinicians and epidemiologists at the Lunenfeld.

 

 

Recent Publications

1. Choi Y, Kopciuk K, Briollais L. Bias and efficiency in family-based designs for estimating the risk associated with mutated genes involved in complex diseases. Hum Hered. 2008; 66:238-251.


2. Durrieu G, Briollais L (2009). Sequential designs for microarray experiments. Journal of the American Statistical Association, 104:650-660.

3. Dobra, A., Briollais, L., et al. (2008). Applications of the mode oriented stochastic search (MOSS) algorithm for discrete multi-way data to genomewide studies. To appear in the volume Bayesian Modeling in Bioinformatics, Taylor & Francis, D. Dey, S. Ghosh and B. Mallick, eds., 2008.

 

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