Participants Data F1000Research.xlsx

Obesity is a complex condition influenced by both genetic and environmental factors. While several studies have explored the genetic basis of obesity in diverse populations, little is known about its genetic underpinnings specifically in the Jordanian population. To address this gap, our study aims to unravel the genetic determinants of obesity among Jordanian individuals.Using a Genome-wide Association Study (GWAS) approach, we will investigate the occurrence and frequency of genetic variants associated with obesity in a cohort of 150 unrelated Jordanian adults. Participants will be categorized into three groups based on their body mass index (BMI): obese, overweight, and normal-weight subjects. Through high-resolution melt analysis (HRMA), we will genotype participants for specific single nucleotide polymorphisms (SNPs) known to be linked with obesity susceptibility genes, including rs2167270 in the LEP gene and rs1137100 in the LEPR gene.Our analysis will explore the association between these genetic variants and various phenotypic characteristics, including obesity risk, BMI, anthropometric measurements (weight, height), and metabolic parameters such as total cholesterol, HDL-cholesterol, LDL-cholesterol, triglycerides, and blood glucose levels.Preliminary results indicate a significant association between obesity risk and the rs2167270 mutation in the LEP gene, suggesting its potential role in predisposing individuals to obesity. Additionally, we observed marginal associations with BMI and glucose blood levels, as well as weak associations with cholesterol levels and the rs1137100 mutation in the LEPR gene.These findings shed light on the genetic factors contributing to obesity susceptibility and its related metabolic traits in the Jordanian population. Understanding the genetic architecture of obesity in this demographic could pave the way for personalized prevention and intervention strategies tailored to the Jordanian population. Further validation studies involving larger cohorts are essential to confirm and expand upon these initial findings.