Brisbane 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.
- Student Work and Opportunities
  Students are a cornerstone of our population health research program, driving innovation and discovery as the next generation of researchers and health professionals.
- 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.
- Collaborations
  The CanPath team is committed to collaborating with partners in order to enhance and accelerate research for a healthier Canada.
- 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.
- Funding & Grant Opportunities
  Supporting researchers and innovators who are seeking financial backing and collaborative opportunities for their projects utilizing CanPath data
- Policies
  CanPath requires approved users of its data to conduct research that follows and conforms to all data use policies. Approved users should read, understand, and follow the policies below.
- Publications
  These publications are examples of research made possible with data from CanPath and its regional cohorts.
- Synthetic Dataset
  The CanPath Synthetic Dataset is a versatile resource designed for research, education, and practical applications, offering robust support and guidance for educators to integrate it into their curriculum.
- Trusted Research Environment
  CanPath, in collaboration with Lifebit and AWS, has built a ‘trusted research environment,’ a secure, cloud-based platform where researchers can access and analyze data all in one place.
Participants
- About the Study
  CanPath is Canada’s largest population health cohort and a gateway platform to data worldwide.
- COVID-19 Antibody Study FAQ
  CanPath and its regional cohorts are conducting a COVID-19 antibody study of 20,000 participants across Canada.
- HEAL and CHARM studies
  Right now, thousands of Canadians are taking part in the largest dietary intake and physical activity data collection effort ever conducted in Canada.
- Meet CanPath Participants
  Hundreds of thousands of Canadians have come together to be part of a study that reveals real breakthroughs.
- Participant Snapshot
  Understand the unique social, economic and health characteristics of CanPath participants and how this information is captured for research.
News & Events
CanPath Access Portal

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2025

Genetic Similarity Clustering Using the UK Biobank as a Reference Dataset

Authors: Ngoc-Quynh Le, Puya Gharahkhani, Stuart MacGregor

When testing their genetic ancestry clustering algorithm using CARTaGENE data, Ngoc-Quynh Le and colleagues demonstrated that it could consistently categorize participants across 19 worldwide ancestry categories. With 81% precision and 97% recall, 519 people were correctly clustered as Middle Eastern in CARTaGENE. This illustrates how ancestry in smaller cohorts, such as CARTaGENE, may be successfully identified by using the UK Biobank as a reference.

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