Metabolic profiles to predict long-term cancer and mortality: the use of latent class analysis

Metabolic profiles to predict long-term cancer and mortality: the use of latent class analysis

Abstract Background Metabolites are genetically and environmentally determined. Consequently, they can be used to characterize environmental exposures and reveal biochemical mechanisms that link exposure to disease. To explore disease susceptibility and improve population risk stratification, we aim...

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Bibliographic Details
Main Authors: Aida Santaolalla, Hans Garmo, Anita Grigoriadis, Sundeep Ghuman, Niklas Hammar, Ingmar Jungner, Göran Walldius, Mats Lambe, Lars Holmberg, Mieke Van Hemelrijck
Format: Article
Language:English
Published: BMC 2019-07-01
Series:BMC Molecular and Cell Biology
Subjects:
Risk stratification
Biomarkers
Metabolic profiles
Latent class analysis
Disease susceptibility
Cancer epidemiology
Online Access:http://link.springer.com/article/10.1186/s12860-019-0210-7

Internet

http://link.springer.com/article/10.1186/s12860-019-0210-7

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