Effects of gene–lifestyle interactions on obesity based on a multi-locus risk score: A cross-sectional analysis

Summary of Key Points

• This study examined the effects of gene-lifestyle interactions on obesity based on a multi-locus risk score.
• The study used a cross-sectional analysis of data from the UK Biobank.
• The results showed that the multi-locus risk score was associated with an increased risk of obesity.
• The study also found that lifestyle factors such as physical activity, diet, and smoking were associated with an increased risk of obesity.
• The results suggest that gene-lifestyle interactions may play an important role in the development of obesity.

Detailed Overview

Obesity is a major public health concern, and its prevalence is increasing worldwide. The development of obesity is complex and involves a combination of genetic and environmental factors. In this study, the authors sought to examine the effects of gene-lifestyle interactions on obesity based on a multi-locus risk score.

The study used a cross-sectional analysis of data from the UK Biobank. The authors used a multi-locus risk score to assess the genetic risk of obesity. They also assessed lifestyle factors such as physical activity, diet, and smoking.

The results showed that the multi-locus risk score was associated with an increased risk of obesity. The study also found that lifestyle factors such as physical activity, diet, and smoking were associated with an increased risk of obesity. The authors concluded that gene-lifestyle interactions may play an important role in the development of obesity.

The findings of this study suggest that interventions aimed at reducing the risk of obesity should take into account both genetic and lifestyle factors. Furthermore, the authors suggest that further research is needed to better understand the role of gene-lifestyle interactions in the development of obesity.

source of this article

published: 2023;
Effects of gene–lifestyle interactions on obesity based on a multi-locus risk score: A cross-sectional analysis

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