Bayesian network analysis of panomic biological big data identifies the importance of triglyceride-rich LDL in atherosclerosis development

Bayesian network analysis of panomic biological big data identifies the importance of triglyceride-rich LDL in atherosclerosis development

IntroductionWe sought to explore biomarkers of coronary atherosclerosis in an unbiased fashion.MethodsWe analyzed 665 patients (mean ± SD age, 56 ± 11 years; 47% male) from the GLOBAL clinical study (NCT01738828). Cases were defined by the presence of any discernable atherosclerotic plaque based on...

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Bibliographic Details
Main Authors: Szilard Voros, Aruna T. Bansal, Michael R. Barnes, Jagat Narula, Pal Maurovich-Horvat, Gustavo Vazquez, Idean B. Marvasty, Bradley O. Brown, Isaac D. Voros, William Harris, Viktor Voros, Thomas Dayspring, David Neff, Alex Greenfield, Leon Furchtgott, Bruce Church, Karl Runge, Iya Khalil, Boris Hayete, Diego Lucero, Alan T. Remaley, Roger S. Newton
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-01-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
triglyceride-rich LDL
LDL-triglycerides
cardiovascular risk
Bayesian network analysis
omics
hepatic lipase
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2022.960419/full

Internet

https://www.frontiersin.org/articles/10.3389/fcvm.2022.960419/full

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