Kenneth E Westerman, Maura E Walker, Sheila M Gaynor, Jennifer Wesse, Daniel DiCorpo, Jiantao Ma, Alvaro Alonso, Stella Aslibekyan, Abigail S Baldridge, Alain G Bertoni, Mary L Biggs, Jennifer A Brody, Yii-Der Ida Chen, Joseé Dupuis, Mark O Goodarzi, Xiuqing Guo, Natalie R Hasbani, Adam Heath, Bertha Hidalgo, Marguerite R Irvin, W Craig Johnson, Rita R Kalyani, Leslie Lange, Rozenn N Lemaitre, Ching-Ti Liu, Simin Liu, Jee-Young Moon, Rami Nassir, James S Pankow, Mary Pettinger, Laura Raffield, Laura J Rasmussen-Torvik, Elizabeth Selvin, Mackenzie K Senn, Aladdin H Shadyab, Albert V Smith, Nicholas L Smith, Lyn Steffen, Sameera Talegakwar, Kent D Taylor, Paul S de Vries, James G Wilson, Alexis C Wood, Lisa R Yanek, Jie Yao, Yinan Zheng, Eric Boerwinkle, Alanna C Morrison, Miriam Fornage, Tracy P Russell, Bruce M Psaty, Daniel Levy, Nancy L Heard-Costa, Vasan S Ramachandran, Rasika A Mathias, Donna K Arnett, Robert Kaplan, Kari E North, Adolfo Correa, April Carson, Jerome I Rotter, Stephen S Rich, JoAnn E Manson, Alexander P Reiner, Charles Kooperberg, Jose C Florez, James B Meigs, Jordi Merino, Deirdre K Tobias, Han Chen, Alisa K Manning
Few studies have demonstrated reproducible gene-diet interactions (GDIs) impacting metabolic disease risk factors, likely due in part to measurement error in dietary intake estimation and insufficient capture of rare genetic variation. We aimed to identify GDIs across the genetic frequency spectrum impacting the macronutrient-glycemia relationship in genetically and culturally diverse cohorts. We analyzed N=33,187 diabetes-free participants from 10 NHLBI Trans-Omics for Precision Medicine (TOPMed) program cohorts with whole-genome sequencing, self-reported diet, and glycemic trait data...
February 15, 2023: Diabetes