Rob Sladek M.D.

Rob Sladek

Rob Sladek is Associate Professor of Human Genetics and Medicine (Endocrinology) at McGill University, and a PI at the at the McGill University and Génome Québec Innovation Centre. He completed undergraduate degrees in Engineering Science and Medicine and a clinical fellowship in Endocrinology, all at the University of Toronto. His postdoctoral training explored the role of the Estrogen-related receptors in the regulation of fat metabolism (Err-alpha) and trophoblast formation (Err-beta); as well as and the application of high-throughput genomics technologies to study complex traits. He leads the Diabetes Gene Discovery Group – a project to identify risk loci for Type 2 diabetes that was sponsored by Genome Canada and Génome Québec. Rob's current research centers on developing and applying new technologies to study gene transcription networks in real time in living cells (Living Microarrays) and identifying risk factors for T2D (as part of MAGIC, DIAGRAM+ and the T2D-GENES consortium).

Research Interests

My research focuses on identifying mechanisms by which genetic variation causes complex diseases and traits. To do this, I have developed novel approaches to identify genetic variants that are associated with Type 2 Diabetes and glycemic traits as well as to identify the effects of polymorphisms on mRNA splicing and gene expression in inbred mice and human populations. My current research centers on developing single-cell and proteomics assays to identify gene networks, particularly those that are regulated by genetic variants causing Type 2 Diabetes or implicated in cancer-related metabolic disorders.

Genetic basis of T2D and related traits:

  • DIAGRAM+ (loci for T2D risk, Mark McCarthy)
  • MAGIC (loci for glycemic traits, Ines Barroso)
  • Global Diabetes Consortium (multi-ethnic study for T2D, Mark McCarthy)
  • T2D-GENES (NISSK consortium, Chair: Mike Boehnke)
  • Resequencing projects (established risk loci)
  • Proteomics strategies to identify mechanism of T2D risk (established risk loci)

Model System approaches for complex traits:

  • Genetic dissection of host response to respiratory viral infection (Silvia Vidal)
  • Genetic dissection of metabolic traits and cardiovascular diseases (Silvia Vidal, Jamie Engert)
  • Transcription networks mediating cancer cachexia (Nicole Beauchemin)
  • Transcription networks mediating host response to tuberculosis (John White)

Technologies for physical and functional genomic mapping:

  • Single cell imaging (Living microarrays)
  • Electrochemical detection of DNA by microcantilevers (Peter Grutter, Bruce Lennox)
  • Optoelectronic detection of DNA using GaN/InN nanorods (Zetian Mi)
  • DNA sorting and optical mapping using nanochannels (MeltMapper, Walter Reisner)
  • Single molecule sequencing technologies (IC Technology Development team)

Lab Composition

Pierre Bérubé Technician, IC Technology Development
Greg Boivin PhD candidate, Human Genetics, CGS recipient, co-supervised with S. Vidal
Jarred Chicoine PDF, Human Genetics, CDA fellowship recipient, now RA
Huan Chu Pham Dang Technician, MUHC-RI, Medicine
Haig Djambazian Engineer, IC Technology Development
Yoshihiko Nagai RA, MUHC-RI, Medicine and IC Technology Development
Nagmeh Nikpour PhD candidate, Human Genetics
Albena Pramatova RA, MUHC-RI, Medicine
Derek So MSc candidate, Human Genetics, co-supervised with Y. Joly
Kezhuo Zhang PhD candidate, Human Genetics