Sara Mostafavi is a computational biologist who seeks to understand the interrelationship between genotype and phenotype in the context of common human clinical traits.
In particular, her interest lies in developing and applying statistical and machine learning techniques to study the genetic basis of complex diseases, by combining association evidence across multiple genome-wide data sources, such as gene expression and genotype data, and by modelling prior biological pathways and networks for disentangling spurious from meaningful correlations.
- Ontario Graduate Scholarship, 2008–2010
- Queen’s Graduate Scholarship, 2004–2006
Mostafavi, S. et al. “Type I interferon signaling genes in recurrent major depression: increased expression detected by whole-blood RNA sequencing.” Mol. Psychiatry 19, no. 12 (December 2014): 1267–1274.
Mostafavi, S. et al. “Variation and genetic control of gene expression in primary immunocytes across inbred mouse strain.” J. Immunol. 193, no. 9 (November 2014): 4485–4496.
Battle, A. et al. “Characterizing the genetic basis of transcriptome diversity through RNA-sequencing of 922 individuals.” Genome Res. 24, no. 1 (January 2014): 14–24.
Ardlie, K.G. et al. “Sharing and Specificity of Co-expression Networks across 35 Human Tissues.” PLoS Comput. Biol. 11, no. 5 (May 2013): e10042220.
Mostafavi, S., and Q. Morris. “Combining many interaction networks to predict gene function and analyze gene lists.” Proteomics 12, no. 10 (May 2012): 1687–1696.
CIFAR is a registered charitable organization supported by the governments of Canada and Quebec, as well as foundations, individuals, corporations and Canadian and international partner organizations.