A Meta-Analysis of Genetic Variants Associated with Obesity Across Diverse Global Populations

All Authors

Tyler Hipple, UNM William Sherman Garver, UNM

Obesity is classified as a medical condition where a person possesses excess fat in their body. Obesity is a significant risk factor for developing diseases such as type-2 diabetes, heart disease, and non-alcoholic fatty liver disease. It has continued to increase in severity and frequency over the past few decades to the point where obesity has become a global pandemic. Researchers have found genetic variations associated with obesity by conducting genome-wide association studies (GWAS). Scientists conduct these studies by examining the entire genome of numerous people from populations worldwide. These studies identify differences in the genome associated with a particular trait or disease. Environmental, cultural, and genetic factors all influence the development and severity of obesity. This makes obesity a complex disease. These factors can significantly influence who is at greater risk for developing obesity. This project aims to clarify the relationship between some factors that cause obesity by investigating these obesity risk variants across several global populations. We also analyzed each variant to expose the genetic consequences of each variant and how each variant alters an individual's health. In this study, we highlight the differences and similarities among global populations and look deeper into the outcomes of each genetic variant associated with obesity.