Provincial variation in colorectal cancer screening adherence in Canada; evidence from the Canadian Partnership for Tomorrow’s Health
The researchers sought to assess regional variation in screening uptake, identify factors to non-adherence to screening, and estimate adherence to screening in those with differing risk profiles. Using national CanPath data, they found adherence suboptimal amongst Canadians and noticed variation by region.
Genetic analyses of DNA repair pathway associated genes implicate new candidate cancer predisposing genes in ancestrally defined ovarian cancer cases
Researchers investigated families with a history of ovarian cancer that couldn’t be explained by known genetic risk factors. Using healthy controls from CARTaGENE, they applied a targeted gene approach and found rare genetic variants in DNA repair pathway genes, particularly in ERCC5, EXO1, FANCC, NEIL1, and NTHL1, in a significant portion of these families.
Global Biobank Meta-analysis Initiative: Powering genetic discovery across human disease
The Global Biobank Meta-analysis Initiative is a collaborative network of 23 biobanks, representing more than 2.2M consented participants with genetic data linked to electronic health records. This collaborative effort will improve genome-wide association studies’ power for diseases, benefit understudied diseases, and improve risk prediction.
Harnessing the power of data linkage to enrich the cancer research ecosystem in Canada
This abstract discusses a project aimed at linking cancer registry and administrative health data to Canada’s largest population health study, the Canadian Partnership for Tomorrow’s Health (CanPath). The project seeks to enrich the cancer research ecosystem in Canada by providing researchers with a comprehensive dataset that includes genetics, environment, lifestyle, and behaviour data. The linked data will be made available through a cloud-based solution called the CanPath Data Safe Haven, which is accessible to researchers through secure access. The project will address concerns related to the accessibility of cancer data in Canada, bring more value to existing data, and support an enhanced understanding of the impacts of cancer on marginalized populations.
Cohort Profile: The Ontario Health Study (OHS)
OHS’s cohort profile outlines its research platform’s history and value for the broader scientific community. OHS follows 225,000 over their lifetime, actively and passively, making de-identified genomic, environmental, lifestyle, and electronic health data available to cancer and chronic disease researchers.
Recombination affects allele-specific expression of deleterious variants in human populations
This study investigates how changes in the genetic makeup of a population, influenced by random genetic drift and selective forces, impact the variation in observable traits over time. The researchers found that specific factors like recombination rates and population size affect patterns of allele-specific gene expression, with regions of high recombination showing a higher efficiency in using this mechanism to suppress harmful genetic variations.
Evaluation of Adiposity and Cognitive Function in Adults
Researchers sought to undercover the association between adipose tissue (amount and distribution) and cognitive scores. Using data from 9,189 participants, they found that higher visceral adipose tissue and body fat percentage correlated with increased vascular brain injuries and cardiovascular risk factors, as well as lower cognitive scores.
A functionally impaired missense variant identified in French Canadian families implicates FANCI as a candidate ovarian cancer-predisposing gene
Researchers sought to describe how new genes might be associated with ovarian cancer risk amongst 5,249 CARTaGENE participants. They found that a FANCI gene mutation is more common in familial ovarian cancer patients.
Polygenic risk scores predict diabetes complications and their response to intensive blood pressure and glucose control
This study assessed whether cardiovascular and renal risk factors combined with the age of onset and duration of diabetes are sufficient predictors of type 2 diabetes. Of the 21,702 participants, 488 participants with type 2 diabetes originated from CanPath. The researchers developed a prediction model to help identify high-risk individuals who could benefit from therapies and treatments.
Normal sex and age-specific parameters in a multi-ethnic population: a cardiovascular magnetic resonance study of the Canadian Alliance for Healthy Hearts and Minds cohort
Researchers sought to create a robust, reference value set for cardiovascular magnetic resonance (CMR) parameters, and understand their relationship with age and sex in people without cardiovascular disease (CVD) history or risk factors. They were able to uncover a significant influence of sex and age on these parameters for use in clinical evaluations of CVD.