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Celia M.T. Greenwood

Celia M.T. Greenwood, PhD

Clinical Epidemiology

Biostatistics, Genetic epidemiology, Statistical genetics
  • Senior Investigator, Lady Davis Institute for Medical Research
  • James McGill Professor, Gerald Bronfman Department of Oncology, Department of Epidemiology, Biostatistics and Occupational Health, and Department of Human Genetics, McGill University

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Assistant contact details

  • Darin Adra,


Sequencing studies have identified that the majority of genetic variability is extremely rare in the population. Since power to find associations with rare events is low, new test statistics have been developed to increase power. Recently, we have been exploring methods for optimizing polygenic risk scores, and exploiting their usefulness in context such as screening for rare variants, identifying individuals at particularly high risk, or improving predictions.

As new platforms become available for measuring genomic data, it is essential to develop appropriate techniques for raw data processing and normalization, to remove any technical artefacts due to the experimental process and to maximize true signa/noise ratios. For bisulphite sequencing based estimates of DNA methylation, we are currently actively developing methods for estimating patterns while accounting for variable read depth and sparse reads. One key paper of ours describes methods for finding regional associations between methylation and phenotypes, accounting appropriately for dispersion, covariates and sequencing errors.

Major Research Activities

Celia M.T. Greenwood’s research involves developing, improving and applying statistical methods for genetic, genomic and high dimensional data. Her research includes both theoretical developments and applied collaborative projects. In recent years, she has been working on genetic scores to predict disease risks, and methods for analysis of epigenetic data.

Recent Publications and References