Relación de polimorfismos genéticos asociados a la nutrición con el desarrollo de sobrepeso/obesidad

Abstract

Obesity is one of the most prevalent diseases in developed countries, being considered one of the four main pandemics of the third millennium. Overweight/obesity is both cause and consequence of other subsequent conditions such as cardiovascular and metabolic diseases, diabetes, cancer amongst others. Therefore, predicting and preventing obesity is one of the main goals for the scientific community in recent decades. Nowadays the crucial role that genetics play in obesity is well known. However, how genetics control and influence common obesity is not fully understood. Genetics, and more specific nutrigenetics, enables us to assess the effect of different genetic variants on aspects that are directly linked with obesity such as satiety‐hunger cycle control, fat, metabolism of carbohydrates, etc. And therefore, set different strategies to prevent and reduce excess body weight. The unstoppable development of new technologies for data analysis by artificial intelligence, such as decision trees based on automatic learning, provide new tools for the prediction of diseases. In this sense, decision trees, through joint analysis of non‐modifiable variables such as age, gender and genetic variants, could stratify and predict the risk of overweight/obesity, with the aim of designing recommendations for the prevention of overweight and obesity...