Publications

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

2024

Estimating Additive Interaction in Two-Stage Individual Participant Data Meta-Analysis.

Authors: M. Basten, L. A. van Tuijl, K. Y. Pan, A. W. Hoogendoorn, F. Lamers, A. V. Ranchor, J. Dekker, P. Frank, H. Galenkamp, M. J. Knol, N. Noisel, Y. Payette, E. R. Sund, A. H. Zwinderman, L. Portengen, M. I. Geerlings

The researchers aimed to describe how the Relative Excess Risk due to Interaction (RERI) and other measures of additive interaction or effect modification can be validly estimated within two-stage individual participant data (IPD) meta-analysis. They proposed a three-step procedure to estimate additive interaction, and illustrate this procedure by investigating interaction between depression and smoking and risk of smoking-related cancers incidence during follow-up, and used IPD of six cohorts, including CARTaGENE.

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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

Global Biobank Meta-analysis Initiative: Powering genetic discovery across human disease

Authors: Wei Zhou, Masahiro Kanai, Kuan-Han H Wu, Humaira Rasheed, Kristin Tsuo, Jibril B Hirbo, Ying Wang, Arjun Bhattacharya, Huiling Zhao, Shinichi Namba, Ida Surakka, Brooke N Wolford, Valeria Lo Faro, Esteban A Lopera-Maya, Kristi Läll, Marie-Julie Favé, Juulia J Partanen, Sinéad B Chapman, Juha Karjalainen, Mitja Kurki, Mutaamba Maasha, Ben M Brumpton, Sameer Chavan, Tzu-Ting Chen, Michelle Daya, Yi Ding, Yen-Chen A Feng, Lindsay A Guare, Christopher R Gignoux, Sarah E Graham, Whitney E Hornsby, Nathan Ingold, Said I Ismail, Ruth Johnson, Triin Laisk, Kuang Lin, Jun Lv, Iona Y Millwood, Sonia Moreno-Grau, Kisung Nam, Priit Palta, Anita Pandit, Michael H Preuss, Chadi Saad, Shefali Setia-Verma, Unnur Thorsteinsdottir, Jasmina Uzunovic, Anurag Verma, Matthew Zawistowski, Xue Zhong, Nahla Afifi, Kawthar M Al-Dabhani, Asma Al Thani, Yuki Bradford, Archie Campbell, Kristy Crooks, Geertruida H de Bock, Scott M Damrauer, Nicholas J Douville, Sarah Finer, Lars G Fritsche, Eleni Fthenou, Gilberto Gonzalez-Arroyo, Christopher J Griffiths, Yu Guo, Karen A Hunt, Alexander Ioannidis, Nomdo M Jansonius, Takahiro Konuma, Ming Ta Michael Lee, Arturo Lopez-Pineda, Yuta Matsuda, Riccardo E Marioni, Babak Moatamed, Marco A Nava-Aguilar, Kensuke Numakura, Snehal Patil, Nicholas Rafaels, Anne Richmond, Agustin Rojas-Muñoz, Jonathan A Shortt, Peter Straub, Ran Tao, Brett Vanderwerff, Manvi Vernekar, Yogasudha Veturi, Kathleen C Barnes, Marike Boezen, Zhengming Chen, Chia-Yen Chen, Judy Cho, George Davey Smith, Hilary K Finucane, Lude Franke, Eric R Gamazon, Andrea Ganna, Tom R Gaunt, Tian Ge, Hailiang Huang, Jennifer Huffman, Nicholas Katsanis, Jukka T Koskela, Clara Lajonchere, Matthew H Law, Liming Li, Cecilia M Lindgren, Ruth J F Loos, Stuart MacGregor, Koichi Matsuda, Catherine M Olsen, David J Porteous, Jordan A Shavit, Harold Snieder, Tomohiro Takano, Richard C Trembath, Judith M Vonk, David C Whiteman, Stephen J Wicks, Cisca Wijmenga, John Wright, Jie Zheng, Xiang Zhou, Philip Awadalla, Michael Boehnke, Carlos D Bustamante, Nancy J Cox, Segun Fatumo, Daniel H Geschwind, Caroline Hayward, Kristian Hveem, Eimear E Kenny, Seunggeun Lee, Yen-Feng Lin, Hamdi Mbarek, Reedik Mägi, Hilary C Martin, Sarah E Medland, Yukinori Okada, Aarno V Palotie, Bogdan Pasaniuc, Daniel J Rader, Marylyn D Ritchie, Serena Sanna, Jordan W Smoller, Kari Stefansson, David A van Heel, Robin G Walters, Sebastian Zöllner; Biobank of the Americas; Biobank Japan Project; BioMe; BioVU; CanPath - Ontario Health Study; China Kadoorie Biobank Collaborative Group; Colorado Center for Personalized Medicine; deCODE Genetics; Estonian Biobank; FinnGen; Generation Scotland; Genes & Health Research Team; LifeLines; Mass General Brigham Biobank; Michigan Genomics Initiative; National Biobank of Korea; Penn Medicine BioBank; Qatar Biobank; QSkin Sun and Health Study; Taiwan Biobank; HUNT Study; UCLA ATLAS Community Health Initiative; Uganda Genome Resource; UK Biobank; Alicia R Martin, Cristen J Willer, Mark J Daly, Benjamin M Neale

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.

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