Publications

These publications are examples of research made possible with data from CanPath and its regional cohorts.

2022

Meta-GWAS Reveals Novel Genetic Variants Associated with Urinary Excretion of Uromodulin

Authors: Christina B. Joseph, Marta Mariniello, Ayumi Yoshifuji, Guglielmo Schiano, Jennifer Lake, Jonathan Marten, Anne Richmond, Jennifer E. Huffman, Archie Campbell, Sarah E. Harris, Stephan Troyanov, Massimiliano Cocca, Antonietta Robino, Sébastien Thériault, Kai-Uwe Eckardt, Matthias Wuttke, Yurong Cheng, Tanguy Corre, Ivana Kolcic, Corrinda Black, Vanessa Bruat, Maria Pina Concas, Cinzia Sala, Stefanie Aeschbacher, Franz Schaefer, Sven Bergmann, Harry Campbell, Matthias Olden, Ozren Polasek, David J. Porteous, Ian J. Deary, Francois Madore, Philip Awadalla, Giorgia Girotto, Sheila Ulivi, David Conen, Elke Wuehl, Eric Olinger, James F. Wilson, Murielle Bochud, Anna Köttgen, Caroline Hayward, Olivier Devuyst

This study is a meta-analysis of genome-wide association studies to understand the mechanisms that regulate urinary excretion of uromodulin. Researchers identified two novel significant loci, providing insight into uromodulin’s biology, keratins’ role in the kidney, and the UMOD-PDILT locus’s influence on kidney function.

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2022

Evaluation of Adiposity and Cognitive Function in Adults

Authors: Sonia S. Anand, Matthias G. Friedrich, Douglas S. Lee, Phillip Awadalla, J. P. Després, Dipika Desai, Russell J. de Souza, Trevor Dummer, Grace Parraga, Eric Larose, Scott A. Lear, Koon K. Teo, Paul Poirier, Karleen M. Schulze, Dorota Szczesniak, Jean-Claude Tardif, Jennifer Vena, Katarzyna Zatonska, Salim Yusuf, Eric E. Smith, the Canadian Alliance of Healthy Hearts and Minds (CAHHM), the Prospective Urban and Rural Epidemiological (PURE) Study Investigators

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.

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2021

A functionally impaired missense variant identified in French Canadian families implicates FANCI as a candidate ovarian cancer-predisposing gene

Authors: Caitlin T. Fierheller, Laure Guitton-Sert, Wejdan M. Alenezi, Timothée Revil, Kathleen K. Oros, Yuandi Gao, Karine Bedard, Suzanna L. Arcand, Corinne Serruya, Supriya Behl, Liliane Meunier, Hubert Fleury, Eleanor Fewings, Deepak N. Subramanian, Javad Nadaf, Jeffrey P. Bruce, Rachel Bell, Diane Provencher, William D. Foulkes, Zaki El Haffaf, Anne-Marie Mes-Masson, Jacek Majewski, Trevor J. Pugh, Marc Tischkowitz, Paul A. James, Ian G. Campbell, Celia M. T. Greenwood, Jiannis Ragoussis, Jean-Yves Masson, Patricia N. Tonin

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.

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2021

A large Canadian cohort provides insights into the genetic architecture of human hair colour

Authors: Frida Lona-Durazo, Marla Mendes, Rohit Thakur, Karen Funderburk, Tongwu Zhang, Michael A. Kovacs, Jiyeon Choi, Kevin M. Brown, Esteban J. Parra 

Researchers performed genome-wide association studies and meta-analyses to garner insight on regulatory mechanisms of hair colour variation and pigmentation biology. 12,996 genotyped CanPath participants were included in this study, along with their self-reported natural hair colour. The researchers fine-mapped significant loci throughout the genome, identifying multiple novel causal variants for hair colour.

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2021

The impact of reporting magnetic resonance imaging incidental findings in the Canadian alliance for healthy hearts and minds cohort

Authors: Judy M. Luu, Anand K. Sergeant, Sonia S. Anand, Dipika Desai, Karleen Schulze, Bartha M. Knoppers, Ma’n H. Zawati, Eric E. Smith, Alan R. Moody, Sandra E. Black, Eric Larose, Francois Marcotte, Erika Kleiderman, Jean-Claude Tardif, Douglas S. Lee, Matthias G. Friedrich on behalf of the CAHHM Study Investigators

This study aimed to describe the management policy for incidental findings (IFs) for the Canadian Alliance for Healthy Hearts and Minds (CAHHM) cohort and understand IF disclosure effects for participants. IF management is challenging, though results are promising for the CAHHM’s policies since 97% of participants with an IF reported no change in their quality of life.

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2021

The association between mental health and shift work: Findings from the Atlantic PATH study

Authors: Ellen Sweeney, Yunsong Cui, Zhijie Michael Yu, Trevor J. B. Dummer, Vanessa DeClercq, Cynthia Forbes, Scott A. Grandy, Melanie R. Keats, Anil Adisesh

Researchers studied the relationship between mental health and shift work amongst 12,413 Atlantic PATH participants, including 4,155 shift workers and 8,258 non-shift workers. They found that shift workers were more likely to have increased rates of depression and poor self-rated health, as well as depressive and anxiety symptom scores compared to non-shift workers.

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2021

Polygenic risk scores predict diabetes complications and their response to intensive blood pressure and glucose control

Authors: Johanne Tremblay, Mounsif Haloui, Redha Attaoua, Ramzan Tahir, Camil Hishmih, François Harvey, François-Christophe Marois-Blanchet, Carole Long, Paul Simon, Lara Santucci, Candan Hizel, John Chalmers, Michel Marre, Stephen Harrap, Renata Cífková, Alena Krajčoviechová, David R. Matthews, Bryan Williams, Neil Poulter, Sophia Zoungas, Stephen Colagiuri, Giuseppe Mancia, Diederick E. Grobbee, Anthony Rodgers, Liusheng Liu, Mawussé Agbessi, Vanessa Bruat, Marie-Julie Favé, Michelle P. Harwood, Philip Awadalla, Mark Woodward, Julie G. Hussin & Pavel Hamet

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.

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2021

The association between mental health and shift work: Findings from the Atlantic PATH study

Authors: Ellen Sweeney, Yunsong Cui, Zhijie Michael Yu, Trevor Dummer, Vanessa DeClercq, Cynthia Forbes, Scott Grandy, Melanie Keats, Anil Adisesh

This study found that shift workers reported higher levels of anxiety, depression, and lower self-rated health than non-shift workers. Shift workers were more likely to report major depression and poor self-rated health, and female shift workers were more likely to report depressive symptoms and poor self-rated health.

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2021

Towards refining World Cancer Research Fund/American Institute for Cancer Research cancer prevention recommendations for red and processed meat intake: insights from Alberta’s Tomorrow Project cohort

Authors: Ala Al Rajabi, Geraldine Lo Siou, Alianu K. Akawung, Kathryn McDonald, Tiffany R. Price, Grace Shen-Tu, Paula J. Robson, Paul J. Veugelers, Katerina Maximova

This study examined the associations of processed meat derived from red versus non-red meats with cancer risk in the Alberta’s Tomorrow Project cohort of 26 218 adults who reported dietary intake using the Canadian Diet History Questionnaire. Incidence of cancer was obtained through data linkage with the Alberta Cancer Registry.

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2021

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

Authors: Judy M. Luu, Catherine Gebhard, Chinthanie Ramasundarahettige, Dipika Desai, Karleen Schulze, Francois Marcotte, Philip Awadalla, Philippe Broet, Trevor Dummer, Jason Hicks, Eric Larose, Alan Moody, Eric E. Smith, Jean-Claude Tardif, Tiago Teixeira, Koon K. Teo, Jennifer Vena, Douglas S. Lee, Sonia S. Anand, Matthias G. Friedrich

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.

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