University of Sherbrooke Archives - CanPath - Canadian Partnership for Tomorrow’s Health

CanPath – Canadian Partnership for Tomorrow’s Health Search

About Us
- Purpose, Vision & Mission
  CanPath is working in partnership to prevent disease and provide a platform for scientists to conduct innovative research.
- Our History
  The Canadian Partnership Against Cancer established the Canadian Partnership for Tomorrow Project (now CanPath) in June 2008.
- Leadership & Governance
  Meet the members of CanPath's Leadership Team, Operations Committee, National Strategic Advisory Council and more.
- National Coordinating Centre
  Meet the members of CanPath's operational core, based at the University of Toronto's Dalla Lana School of Public Health.
- Regional Cohorts
  Seven regional cohorts across ten provinces comprise CanPath's pan-Canadian partnership.
- Funders & Supporters
  Learn more about the partner organizations that provide funding and in-kind support to CanPath.
- Frequently Asked Questions
  Find out how CanPath will improve the health of Canadians and more.
- Contact us
  How to reach CanPath by phone, email, in-person, or make a data access request.
Research
- About the Study
  CanPath is Canada’s largest population health cohort and a gateway platform to data worldwide.
- Access Process
  The CanPath Access Portal provides researchers with the necessary resources to identify epidemiological and biological data available from participating cohorts to answer innovative research questions.
- Approved Projects & Studies
  CanPath has supported more than 100 research projects and activities, many of which have resulted in publications in high impact journals.
- Publications
  These publications are examples of research made possible with data from CanPath and its regional cohorts.
- Funding & Grant Opportunities
- COVID-19 Initiatives
  As Canada’s largest population health study, CanPath responded quickly to the pandemic by leveraging its existing infrastructure to support national COVID-19 research.
- Student Dataset
  CanPath's Student Dataset provides students the unique opportunity to gain hands-on experience working with CanPath data.
- Collaborations
  The CanPath team is committed to collaborating with partners in order to enhance and accelerate research for a healthier Canada.
Participants
- About the Study
  CanPath is Canada’s largest population health cohort and a gateway platform to data worldwide.
- Participant Snapshot
  Understand the unique social, economic and health characteristics of CanPath participants and how this information is captured for research.
- Meet CanPath Participants
  Hundreds of thousands of Canadians have come together to be part of a study that reveals real breakthroughs.
- COVID-19 Antibody Study FAQ
  CanPath and its regional cohorts are conducting a COVID-19 antibody study of 20,000 participants across Canada.
News & Events
CanPath Access Portal

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2022

Socio-Demographic Factors Associated With COVID-19 Vaccine Hesitancy Among Middle-Aged Adults During the Quebec’s Vaccination Campaign

Authors: Rodolphe Jantzen, Mathieu Maltais, Philippe Broët

This study aimed to describe how socioeconomic and demographic characteristics affect vaccine hesitancy. Using data from 6,105 CARTaGENE participants, researchers found that those born outside of Canada and those with a household income under $100,000 had the greatest hesitancy.

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2013

Exome sequencing identifies mutations in the gene TTC7A in French-Canadian cases with hereditary multiple intestinal atresia.

Authors: Mark E Samuels , Jacek Majewski, Najmeh Alirezaie, Isabel Fernandez, Ferran Casals, Natalie Patey Hélène Decaluwe, Isabelle Gosselin, Elie Haddad, Alan Hodgkinson, Youssef Idaghdour, Valerie Marchand, Jacques L Michaud Marc-André Rodrigue, Sylvie Desjardins, Stéphane Dubois, Francoise Le Deist, Philip Awadalla, Vincent Raymond,Bruno Maranda

Cogenital Multiple Intestinal Atresia is a fatal disorder that can cause organs to shutdown and obstructions in the small and large intestines. They looked a 5 different families to determine the gene structure and found that TTC7A is likely a causal gene for MIA.

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