Min-Zhi Jiang, Sheila M Gaynor, Xihao Li, Eric Van Buren, Adrienne Stilp, Erin Buth, Fei Fei Wang, Regina Manansala, Stephanie M Gogarten, Zilin Li, Linda M Polfus, Shabnam Salimi, Joshua C Bis, Nathan Pankratz, Lisa R Yanek, Peter Durda, Russell P Tracy, Stephen S Rich, Jerome I Rotter, Braxton D Mitchell, Joshua P Lewis, Bruce M Psaty, Katherine A Pratte, Edwin K Silverman, Robert C Kaplan, Christy Avery, Kari E North, Rasika A Mathias, Nauder Faraday, Honghuang Lin, Biqi Wang, April P Carson, Arnita F Norwood, Richard A Gibbs, Charles Kooperberg, Jessica Lundin, Ulrike Peters, Josée Dupuis, Lifang Hou, Myriam Fornage, Emelia J Benjamin, Alexander P Reiner, Russell P Bowler, Xihong Lin, Paul L Auer, Laura M Raffield
Inflammation biomarkers can provide valuable insight into the role of inflammatory processes in many diseases and conditions. Sequencing based analyses of such biomarkers can also serve as an exemplar of the genetic architecture of quantitative traits. To evaluate the biological insight, which can be provided by a multi-ancestry, whole-genome based association study, we performed a comprehensive analysis of 21 inflammation biomarkers from up to 38 465 individuals with whole-genome sequencing from the Trans-Omics for Precision Medicine (TOPMed) program (with varying sample size by trait, where the minimum sample size was n = 737 for MMP-1)...
May 15, 2024: Human Molecular Genetics