Publications

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

2024

The mediating role of health behaviors in the association between depression, anxiety and cancer incidence: An individual participant data meta-analysis

Authors: Kuan-Yu Pan, Lonneke van Tuijl , Maartje Basten, Judith J M Rijnhart, Alexander de Graeff, Joost Dekker , Mirjam I Geerlings, Adriaan Hoogendoorn, Adelita V Ranchor, Roel Vermeulen, Lützen Portengen, Adri C Voogd, Jessica Abell, Philip Awadalla, Aartjan T F Beekman, Ottar Bjerkeset, Andy Boyd, Yunsong Cui, Philipp Frank, Henrike Galenkamp, Bert Garssen, Sean Hellingman, Monika Hollander, Martijn Huisman, Anke Huss, Melanie R Keats, Almar A L Kok, Steinar Krokstad, Flora E van Leeuwen, Annemarie I Luik, Nolwenn Noisel, Yves Payette, Brenda W J H Penninx , Susan Picavet, Ina Rissanen, Annelieke M Roest, Judith G M Rosmalen, Rikje Ruiter, Robert A Schoevers, David Soave, Mandy Spaan, Andrew Steptoe, Karien Stronks, Erik R Sund, Ellen Sweeney, Alison Teyhan, Emma L Twait, Kimberly D van der Willik, Femke Lamers

Researchers investigated how various health behaviors might mediate the relationships between depression, anxiety, and the onset of different types of cancer. They conducted individual participant data meta-analyses using participants from 18 cohorts from the Psychosocial Factors and Cancer Incidence consortium.The cohorts analyzed included the Atlantic Partnership for Tomorrow’s Health, Ontario Health Study, and CARTaGENE. The findings suggested that smoking serves as a mediating factor that connects depression and anxiety with lung cancer and other cancers related to smoking.

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2024

Psychosocial factors, health behaviors and risk of cancer incidence: Testing interaction and effect modification in an individual participant data meta-analysis

Authors: Maartje Basten, Kuan-Yu Pan, Lonneke A vanTuijl, Alexander de Graeff, Joost Dekker, Adriaan W Hoogendoorn, Femke Lamers, Adelita V Ranchor, Roel Vermeulen, Lützen Portengen, Adri C Voogd, Jessica Abell, Philip Awadalla, Aartjan T.F. Beekman, Ottar Bjerkeset, Andy Boyd, Yunsong Cui, Philipp Frank, Henrike Galenkamp, Bert Garssen, Sean Hellingman, Martijn Huisman, Anke Huss, Melanie R. Keats, Almar A.L. Kok, Steinar Krokstad, Flora E. van Leeuwen, Annemarie I. Luik, NolwennNoisel, Yves Payette, Brenda W.J.H. Penninx, Ina Rissanen, Annelieke M. Roest, Judith G.M. Rosmalen, Rikje Ruiter, Robert A. Schoevers, David Soave, Mandy Spaan, Andrew Steptoe, Karien Stronks, Erik R. Sund, Ellen Sweeney, Emma L. Twait, Alison Teyhan, W.M. Monique Verschuren, Kimberly D. van der Willik, Mirjam I. Geerlings

Researchers determined whether psychosocial factors interact with or modify the effects of health behaviors, such as smoking and alcohol use, in relation to cancer incidence. Data were used from 22 cohorts, including the Ontario Health Study, Atlantic Partnership for Tomorrow’s Health, and CARTaGENE. After exploring 744 combinations of psychosocial factors, the researchers found no evidence that psychosocial factors interacted with or modified health behaviors related to cancer incidence.

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2023

Depression, anxiety, and the risk of cancer: An individual participant data meta-analysis

Authors: Lonneke A van Tuijl, Maartje Basten, Kuan-Yu Pan, Roel Vermeulen, Lützen Portengen, Alexander de Graeff, Joost Dekker, Mirjam I Geerlings, Adriaan Hoogendoorn, Femke Lamers, Adri C Voogd, Jessica Abell, Philip Awadalla, Aartjan T F Beekman, Ottar Bjerkeset, Andy Boyd, Yunsong Cui, Philipp Frank, Henrike Galenkamp, Bert Garssen, Sean Hellingman, Martijn Huisman, Anke Huss, Trynke R de Jong, Melanie R Keats, Almar A L Kok, Steinar Krokstad, Flora E van Leeuwen, Annemarie I Luik, Nolwenn Noisel, N Charlotte Onland-Moret, Yves Payette, Brenda W J H Penninx, Ina Rissanen, Annelieke M Roest, Rikje Ruiter, Robert A Schoevers, David Soave, Mandy Spaan, Andrew Steptoe, Karien Stronks, Erik R Sund, Ellen Sweeney, Emma L Twait, Alison Teyhan, W M Monique Verschuren, Kimberly D van der Willik, Judith G M Rosmalen, Adelita V Ranchor

Researchers performed meta-analyses within the Psychosocial Factors and Cancer Incidence (PSY-CA) consortium to develop a stronger foundation for addressing associations between depression, anxiety, and the incidence of various cancer types. They found that depression and anxiety are not related to increased risk for most cancer outcomes, except for lung and smoking-related cancers.

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2022

Association of essential tremor with novel risk loci: A genome-wide association study and meta-analysis

Authors: Calwing Liao, Charles-Etienne Castonguay, Karl Heilbron, Veikko Vuokila, Miranda Medeiros, Gabrielle Houle, Fulya Akçimen, Jay P. Ross, Helene Catoire, Monica Diez-Fairen, Jooeun Kang, Stefanie H. Mueller, Simon L. Girard, Franziska Hopfner, Delia Lorenz, Lorraine N. Clark, Alexandra I. Soto-Beasley, Stephan Klebe, Mark Hallett, Zbigniew K. Wszolek, Manuela Pendziwiat, Oswaldo Lorenzo-Betancor, Klaus Seppi, Daniela Berg, Carles Vilariño-Güell, Ronald B. Postuma, Geneviève Bernard, Nicolas Dupré, Joseph Jankovic, Claudia M. Testa, Owen A. Ross, Thomas Arzberger, Sylvain Chouinard, Elan D. Louis, Paola Mandich, Carmine Vitale, Paolo Barone, Elena García-Martín, Hortensia Alonso-Navarro, José A. G. Agúndez, Félix Javier Jiménez-Jiménez, Pau Pastor, Alex Rajput, Günther Deuschl, Gregor Kuhlenbaümer, Inge A. Meijer, Patrick A. Dion, Guy A. Rouleau, for the 23andMe Research Team

This study revealed five genome-wide significant loci associated with essential tremor (ET), one of the most common movement disorders. The researchers’ findings suggest that common genetic variation partly explains ET’s heritability.

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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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