Events Calendar

Talk by Celia Greenwood (DSAS colloquium)

Thursday, February 6, 2020
3:30 pm - 4:30 pm
Physics & Astronomy Building (PAB)
Room: 148


Modelling genetic & epigenetic associations with phenotypes: Two stories where richer models lead to new results


When exploring relationships between a trait (or a disease) and a high dimensional genetic or genomic set of measures, more complicated but richer models can be more powerful.   I will tell two stories:  (1) estimating the effects of rare copy number variation on intelligence using a hierarchical Bayesian model, and (2) improving power for finding genomic regions where DNA methylation levels are associated with a rheumatoid arthritis biomarker, using functional smoothing of bisulfite sequencing derived counts in an overdispersed binomial model, while allowing for sequencing errors.


Dr. Celia Greenwood is Senior Investigator at the Lady Davis Institute of the Jewish General Hospital in Montreal, QC, Canada, and Professor at McGill University. She is a statistician whose research domain is development and application of statistical methodology for analysis of genetic and genomic data. Her PhD in Biostatistics is from the University of Toronto (1998); she was promoted to Full Professor at McGill University in 2017, and awarded a James McGill Professorship in 2019. She was the 2019 President of the International Genetic Epidemiology Society (, and is co-Director of the Ludmer Centre for Neuroinformatics and Mental Health at McGill University (, and also Graduate Program Director for the PhD program in Quantitative Life Sciences at McGill University. She has contributed to over 160 peer-reviewed publications, some collaborative, and some methodological with over 12,800 citations.

Department of Statistical & Actuarial Science
Miranda Fullerton - Academic Program Coordinator
Event Type:

Powered by Blackbaud
nonprofit software