title: Predicting Polygenic Obesity Using Genetic Information.
abstract: Except in rare cases, obesity tends to be a consequence of both an unhealthy lifestyle and a genetic susceptibility to gain weight. With more than 200 common genetic variants identified, there is a growing interest in developing personalized preventive and treatment strategies to predict an individual's obesity risk. We review the literature on the prediction of obesity and show that models based on the established genetic variants have poorer predictive ability than traditional predictors, such as family history of obesity and childhood obesity. Current findings suggest that opportunities for precision medicine in common obesity may be limited.
authors.affiliation: The Genetics of Obesity and Related Metabolic Traits Program, The Charles Bronfman Institute for Personalized Medicine, The Mindich Child Health and Development Institute, The Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA. Electronic address: ruth.loos@mssm.edu.
authors.forename: Ruth J F
authors.initials: RJF
authors.lastname: Loos
authors.affiliation: Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA.
authors.forename: A Cecile J W
authors.initials: ACJW
authors.lastname: Janssens
mesh_terms: D020022:Genetic Predisposition to Disease; D014644:Genetic Variation; D006801:Humans; D008019:Life Style; D020412:Multifactorial Inheritance / Q000235:genetics*; D009765:Obesity / Q000235:genetics*; D012307:Risk Factors