Chen M X, Chen W
Department of Clinical Nutrition, Beijing Key Laboratory of the Innovative Development of Functional Staple and the Nutritional Intervention for Chronic Disease, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing 100730, China.
Zhonghua Yu Fang Yi Xue Za Zhi. 2022 Feb 6;56(2):132-138. doi: 10.3760/cma.j.cn112150-20210727-00717.
The incidence of obesity in our country is increasing year by year. Diet and lifestyle interventions are the most commonly used weight loss measures, but their intervention effects are affected by individual genetics, environment and other factors. Genome-wide association analysis has found many SNPs related to weight loss, and explored the interaction between these loci and diet, intestinal flora and other environmental factors. This article summarizes the study of single nucleotide polymorphisms, the analysis of gene-environment interactions related to diet interventions for weight loss, and the multi-loci analysis and prediction models such as genetic risk scores and machine learning modeling in weight loss, which provides reference for the further application and development of the precise nutrition in medical weight loss.
我国肥胖发生率逐年上升。饮食和生活方式干预是最常用的减肥措施，但其干预效果受个体遗传、环境等因素影响。全基因组关联分析发现了许多与减肥相关的单核苷酸多态性（SNP），并探索了这些基因位点与饮食、肠道菌群等环境因素之间的相互作用。本文综述了单核苷酸多态性研究、减肥饮食干预相关的基因-环境相互作用分析以及减肥中的多基因位点分析和遗传风险评分、机器学习建模等预测模型，为医学减肥中精准营养的进一步应用和发展提供参考。
