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利用遗传信息预测多基因肥胖症。

Predicting Polygenic Obesity Using Genetic Information.

机构信息

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.

Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA 30322, USA.

出版信息

Cell Metab. 2017 Mar 7;25(3):535-543. doi: 10.1016/j.cmet.2017.02.013.

DOI:10.1016/j.cmet.2017.02.013
PMID:28273476
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.

摘要

除了极少数情况外,肥胖往往是不健康的生活方式和易发胖的遗传倾向共同作用的结果。随着 200 多种常见遗传变异的确定,人们越来越有兴趣开发个性化的预防和治疗策略来预测个体的肥胖风险。我们回顾了关于肥胖预测的文献,结果表明,基于已确定遗传变异的模型比传统预测因子(如肥胖家族史和儿童肥胖)的预测能力差。目前的研究结果表明,普通肥胖症的精准医疗机会可能有限。

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