Current status and progress of precision nutritional weight management guided by single nucleotide polymorphism

Abstract

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.