Todd Lee

We conduct research with trainees in a variety of areas, usually thematically aligned with their interests.&nbsp; Projects can range in size and scope and can be synthesis based (e.g., narrative or systematic review), observational (working with data sources including pre-existing databases) and/or bench microbiology projects.&nbsp; We also conduct randomized controlled trials and have a funded clinical trials fellowship for trainees who already have an independent practice licence.
Some examples of trainee publications from our lab include:
Evaluations of diagnostic tests:
<a href="https://pubmed.ncbi.nlm.nih.gov/34464734/">https://pubmed.ncbi.nlm.nih.gov/34464734/</a>
<a href="https://pubmed.ncbi.nlm.nih.gov/32479781/">https://pubmed.ncbi.nlm.nih.gov/32479781/</a>
Evaluations of various treatments:
<a href="https://pubmed.ncbi.nlm.nih.gov/35944134/">https://pubmed.ncbi.nlm.nih.gov/35944134/</a>
<a href="https://pubmed.ncbi.nlm.nih.gov/36632358/">https://pubmed.ncbi.nlm.nih.gov/36632358/</a>
<a href="https://pubmed.ncbi.nlm.nih.gov/33894072/">https://pubmed.ncbi.nlm.nih.gov/33894072/</a>
Conduct of controlled trials and prospective observational cohorts:
<a href="https://pubmed.ncbi.nlm.nih.gov/32667982/">https://pubmed.ncbi.nlm.nih.gov/32667982/</a>
<a href="https://pubmed.ncbi.nlm.nih.gov/33813124/">https://pubmed.ncbi.nlm.nih.gov/33813124/</a>

Dealing with dogma in infectious diseases and internal medicine

Mallory Downie

Nephrotic syndrome is the most common cause of kidney disease in children worldwide, with up to 3000 Canadian children newly diagnosed each year. Most children respond to first-line treatment with corticosteroids and are labelled as having steroid sensitive nephrotic syndrome (SSNS). There is enormous phenotypic variability in SSNS, ranging from an isolated episode to a severe relapsing course to dependence on ongoing immunosuppression to maintain remission; the cause of this variability is largely unknown and I hypothesize that genetic determinants play a role. In this project, I will correlate the specific clinical features of SSNS in 749 children with their genetic variants by (broadly) using linear regression analysis. This study will determine if there are genetic variants that can predict SSNS phenotype, which will then allow us to risk stratify patients with SSNS to optimize treatment regimens.&nbsp;
For this project, the applicant will be required to collect the specific clinical information from my database of children with SSNS. This would include demographic information, number of disease relapses, medications and dosages, time to remission during initial episode, etc. I will later use this information to relate it to the genetic information collected on the same children.&nbsp;
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The home of your next big research project