Citations 2
Navigating the Landscape of Translational Geroscience in Canada: A Comprehensive Evaluation of Current Progress and Future Directions
Hajj‐Boutros, Guy , Faust, Andréa, Kim, Perry, Chevalier, Stéphanie , Bergman, Howard , Burford, Jessica S , Carrington‐Lawrence, Stacy, Côté, Hélène, Fowler, Robert , Gouspillou, Gilles , Harrington, Lea , Imani, Mahdi , Kirkland, James L. , Mallette, Frédérick A. , Newman, John C. , Pullman, Daryl , Sierra, Felipe , Rylett, R. Jane , Duque, Gustavo , Chevalier, Stéphanie , Farrelly, Colin , Lautrup, Sofie , Howlett, Susan , Kirkland, James, Morais, José A , Newman, John C , Van Raamsdonk, Jeremy , Watt, Jennifer , Duque, Gustavo , Muscedere, John , Abumrad, Naji N. , Aubertin‐Leheudre, Mylène , Bowdish, Dawn M. E. , Dawe, David E. , Barreto, Philipe de Souto , Howlett, Susan E. , Kuchel, George A. , Morais, José A.
The Journals of Gerontology, Series A: Biological Sciences and Medical Sciences | March 15, 2024 | Volume: 79 | Issue: 7 | Pages: No page available
Abstract The inaugural Canadian Conferences on Translational Geroscience were held as 2 complementary sessions in October and November 2023. The conferences explored the profound interplay between the biology of aging, social determinants of health, the potential societal impact of geroscience, and the maintenance of health in aging individuals. Although topics such as cellular senescence, molecular and genetic determinants of aging, and prevention of chronic disease were addressed, the conferences went on to emphasize practical applications for enhancing older people’s quality of life. This article summarizes the proceeding and underscores the synergy between clinical and fundamental studies. Future directions highlight national and global collaborations and the crucial integration of early-career investigators. This work charts a course for a national framework for continued innovation and advancement in translational geroscience in Canada.
Quantifying the phenome‐wide disease burden of obesity using electronic health records and genomics
Robinson, Jamie R. , Carroll, Robert J. , Bastarache, Lisa , Pirruccello, James P. , Mou, Zongyang , Wei, Wei‐Qi, Mentch, Frank , Crane, Paul K. , Hebbring, Scott J. , Crosslin, David R. , Rosenthal, Elisabeth A. , Stanaway, Ian B. , Petukhova, Lynn , Namjou‐Khales, Bahram, Zhang, Ge , Safarova, Mayya S., Walton, Nephi , Still, Christopher D. , Böttinger, Erwin P. , Loos, Ruth J. F. , Murphy, Shawn N. , Jarvik, Gail P. , Larson, Eric B. , Roden, Dan M. , Denny, Joshua C. , Safarova, Maya , Denny, Joshua C , Jarvik, Gail P , Loos, Ruth J F , Chen, Qingxia , Connolly, John J. , Gordon, Adam S., Hayes, M. Geoffrey , Wei, Wei , Jackson, Gretchen Purcell , Abumrad, Naji N. , Kullo, Iftikhar J. , Weng, Chunhua , Roden, Dan M. , Khera, Amit V.
Obesity | November 14, 2022 | Volume: 30 | Issue: 12 | Pages: 2477-2488
AbstractObjectiveHigh BMI is associated with many comorbidities and mortality. This study aimed to elucidate the overall clinical risk of obesity using a genome‐ and phenome‐wide approach.MethodsThis study performed a phenome‐wide association study of BMI using a clinical cohort of 736,726 adults. This was followed by genetic association studies using two separate cohorts: one consisting of 65,174 adults in the Electronic Medical Records and Genomics (eMERGE) Network and another with 405,432 participants in the UK Biobank.ResultsClass 3 obesity was associated with 433 phenotypes, representing 59.3% of all billing codes in individuals with severe obesity. A genome‐wide polygenic risk score for BMI, accounting for 7.5% of variance in BMI, was associated with 296 clinical diseases, including strong associations with type 2 diabetes, sleep apnea, hypertension, and chronic liver disease. In all three cohorts, 199 phenotypes were associated with class 3 obesity and polygenic risk for obesity, including novel associations such as increased risk of renal failure, venous insufficiency, and gastroesophageal reflux.ConclusionsThis combined genomic and phenomic systematic approach demonstrated that obesity has a strong genetic predisposition and is associated with a considerable burden of disease across all disease classes.