Predicting Polygenic Obesity Using Genetic Information

doi:10.1016/j.cmet.2017.02.013

2017-03-01

Ruth J. F. Loos *

A. Cecile J.W. Janssens

DOI：10.1016/j.cmet.2017.02.013

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摘要

En 中文

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.

Keyword:

BODY-MASS INDEX

GENOME-WIDE ASSOCIATION

CORONARY-HEART-DISEASE

RISK SCORE

WAIST CIRCUMFERENCE

PROSPECTIVE COHORT

COMMON OBESITY

FTO GENE

CHILDHOOD

WEIGHT

AI总结

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期刊

Cell Metabolism

IF:

30.9

论文数:

3.3K

被引数:

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机构

Icahn School of Medicine at Mount Sinai

学者数:

4.6W

论文数: 3.4W

被引数: 58

Emory University

学者数:

5.0W

论文数: 4.2W

被引数: 5.7W

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