Publications

Les publications qui suivent sont des exemples de recherches rendues possibles grâce aux données de CanPath et de ses cohortes régionales.

2024

Exposure to air pollutants and subclinical carotid atherosclerosis measured by magnetic resonance imaging: A cross-sectional analysis

Auteurs : S. M. Azab, D. Doiron, K. M. Schulze, J. R. Brook, M. Brauer, E. E. Smith, A. R. Moody, D. Desai, M. G. Friedrich, S. I. Bangdiwala, D. Zeraatkar, D. Lee, T. J. B. Dummer, P. Poirier, J.-C. Tardif, K. K. Teo, S. Lear, S. Yusuf, S. S. Anand, R. J. de Souza.

The researchers examined how long-term exposure to air pollution affects early signs of heart disease. They used data to explore whether low levels of air pollutants are linked to the thickening of artery walls. The study included 6,645 adults from five Canadian provinces and estimated their exposure to nitrogen dioxide (NO₂), ozone (O₃), and fine particulate matter (PM2.5) over several years. Using MRI scans to measure carotid artery wall thickness, the researchers found mixed results. Higher levels of ozone were linked to thicker artery walls, suggesting a potential negative effect, while higher nitrogen dioxide levels were associated with thinner artery walls, a finding that requires further investigation.

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2024

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

Auteurs : 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

Cohort profile: the CARTaGENE Cohort Nutrition Study (Quebec, Canada)

Auteurs : V. Ho, I. Csizmadi, B. A. Boucher, M. McInerney, C. Boileau, N. Noisel, Y. Payette, P. Awadalla, A. Koushik

The researchers aimed to address emerging nutritional epidemiological research questions, using data from the CARTaGENE cohort. Dietary information was collected making it a rich resource for the exploration of diet in the etiology of many health outcomes. They found that dietary intake and quality varied among participants but generally met recommended nutrient levels. Along with other findings, the Canadian Healthy Eating Index 2005 (C-HEI) scores were higher among never smokers, those with higher education, and those with more physical activity compared to current smokers, less than high school education, and those with lower physical activity.

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2024

Sex-Specific Associations of Aldosterone and Renin with Body Composition: A Population-Based Cohort Study

Auteurs : G. L. Hundemer, M. Agharazii, F. Madore, M.-E. Piché, C. Gagnon, A. Bussières, M. St-Jean, A. A. Leung, G. A. Kline, M. M. Sood, D. Burger, T. Ramsay, R. Goupil

The researchers investigated the associations of aldosterone and renin with body composition according to sex in a population-based cohort. Using data from 3,687 adults aged 40-69 years enrolled in the CARTaGENE study, they found that among males, higher aldosterone and renin levels were linked to increased waist to hip ratio, increased fat mass, and decreased lean and muscle mass, while aldosterone specifically was also associated with increased ectopic cardiac adiposity. In contrast, among females higher renin, but not aldosterone, was associated with increased waist circumference, increased waist-to-hip ratio, and increased cardiac adiposity. Higher renin and aldosterone were associated with increased fat mass but were not associated with lean body mass or muscle mass.

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2024

Genomic Analysis Identifies Risk Factors in Restless Legs Syndrome

Auteurs : Fulya Akçimen, Ruth Chia, Sara Saez-Atienzar, Paola Ruffo, Memoona Rasheed, Jay P. Ross, Calwing Liao, Anindita Ray, Patrick A. Dion, Sonja W. Scholz , Guy A. Rouleau, and Bryan J. Traynor

The researchers studied 9,851 Restless Legs Syndrome (RLS) cases and 38,957 controls of European ancestry from CARTaGENE, Canadian Longitudinal Study on Aging, and All of Us biobanks in Canada and the U.S. They found nine genetic locations linked to RLS, including one new location (LMX1B), and identified two related genes (GLO1 and ELFN1). The study also revealed genetic overlaps between RLS and traits like neuroticism, depression, and intelligence. This research enhances our understanding of RLS’s genetic factors.

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2024

Addressing dispersion in mis-measured multivariate binomial outcomes: A novel statistical approach for detecting differentially methylated regions in bisulfite sequencing data

Auteurs : K. Zhao, K. Oualkacha, Y. Zeng, C. Shen, K. Klein, et al.

The researchers investigated the association between DNA methylation and levels of anti-citrullinated protein antibodies (ACPA), a preclinical marker for rheumatoid arthritis (RA) risk, using asymptomatic samples from the CARTaGENE cohort. Through targeted custom capture sequencing of whole blood, their analysis identified 23 significant genes potentially contributing to ACPA-related differential methylation. These findings emphasize the roles of cell signaling and collagen metabolism in RA.

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2024

Investigating the genetic architecture of eye colour in a Canadian cohort

Auteurs : F.Lona-Durazo, R.Thakur, E. Pairo-Castineira, K. Funderburk, T. Zhang, M. A. Kovacs, J. Choi, I. J. Jackson, K. M. Brown, E. J. Parra

Researchers used data from 5,641 participants of European ancestry from the Canadian Partnership for Tomorrow’s Health (CanPath) and performed genome-wide association studies to investigate the genetic basis of eye color. The study identified multiple independent candidate causal variants in the HERC2/OCA2 region, along with single candidate variants near other genes such as IRF4, SLC24A4, TYR, and TYRP1. These findings suggest that eye color variation is influenced by specific molecular processes in iris melanocytes.

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2024

A statistical testing strategy accounting for random and nonrandom (skewed) X-chromosome inactivation identifies lung cancer susceptibility loci among smokers

Auteurs : Jantzen R, Camilleri-Broët S, Ezer N, Broët P

The research used 9,261 participants from the CARTaGENE cohort to identify susceptibility loci for lung cancer among current and past smokers. X chromosome-wide statistical analysis identified two SNPs in low-linkage disequilibrium located in the IL1RAPL1 (IL-1 R accessory protein-like) gene: rs12558491 and rs12835699. For both SNPs, the minor allele was associated with lower lung cancer risk.

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2024

Premature thymic functional senescence is a hallmark of childhood acute lymphoblastic leukemia survivorship

Auteurs : T. Kientega, S. Marcoux, J. Bourbonnais, J. Montpetit, M. Caru, G. B. Cardin, N. Arbour, V. Marcil, D. Curnier, C. Laverdière, D. Sinnett, F. Rodier

The researchers investigated thymic immunosenescence in childhood acute lymphoblastic leukemia (cALL) survivors. The healthy participant cohort consisted of participants from the CARTaGENE cohort and an institutional cohort from the Centre Hospitalier de l’Université de Montréal. The thymic immunosenescence biomarker, signal joint T-cell receptor excision circles (TREC), was evaluated and was highly correlated with age in healthy participants and cALL survivors. While TREC levels declined with age in both groups, cALL survivors exhibited a systematic immunoage acceleration ranging from 5.9 to 88.3 years. This immunoage gain was independent of age at diagnosis and treatment modalities but was more pronounced in females and those with metabolic syndrome. The decline in TREC was unrelated to blood cell counts, suggesting selective thymic aging.

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2024

Polygenic inheritance and its interplay with smoking history in predicting lung cancer diagnosis: a French-Canadian casecontrol cohort

Auteurs : Véronique Boumtje, Hasanga D. Manikpurage, Zhonglin Li, Nathalie Gaudreault, Victoria Saavedra Armero, Dominique K. Boudreau, Sébastien Renaut, Cyndi Henry, Christine Racine, Aida Eslami, Stéphanie Bougeard, Evelyne Vigneau, Mathieu Morissette, Benoit J. Arsenault, Catherine Labbé, Anne-Sophie Laliberté, Simon Martel, François Maltais, Christian Couture, Patrice Desmeules, Patrick Mathieu, Sébastien Thériault, Philippe Joubert, Yohan Bossé

The researchers equipped a case-control dataset, consisting of 4002 lung cancer cases from the LORD project and 20,010 ethnically matched controls from the CARTaGENE cohort. The researchers aimed to generate a genome-wide polygenic risk score for lung cancer to improve risk prediction and delineate individuals at high genetic risk of lung cancer for earlier detection and prevention.

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