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Abstract

Background: The prevalence of obesity has increased significantly over the

years, and its health concerns cannot be underestimated. Obesity not only

causes potential mobility limitations in daily life but also increases the risk of

developing cardiovascular diseases, diabetes, cancer and other health

conditions. While an imbalanced diet and lack of exercise are well-known

causes of obesity, genetic patterns also influence its development. Although the GNB3 gene is known to be involved in lipid metabolism and fat cell

differentiation, studies have shown inconsistent associations between a

common single nucleotide polymorphism of GNB3 (c.825C>T, rs5443) and

obesity across different populations. Therefore, this study aims to analyze the

association between the GNB3 c.825C>T polymorphism and obesity in the Taiwanese population using various grouping criteria.

Subjects/Methods: The study recruited 372 eligible subjects for GNB3 SNP

rs5443 (c.825C>T) testing at China Medical University Hospital in Taichung, Taiwan. Clinical parameters, including age, sex, weight, BMI and body fat

percentage were assessed for all participants. The GNB3 rs5443 C/T

genotypes were determined using two differentially labeled allele-specific probes and a specific paired PCR primer set.

Results: Our results demonstrated that the distribution of GNB3 rs5443 genotypes (C/C, C/T, T/T) was not significantly correlated with sex and age (p > 0.05). However, the distribution of GNB3 genotypes (C/C, T/T) showed a

statistical significance between subjects with BMI < 24 and BMI  27. Furthermore, our results revealed that the C/T and T/T genotypes had higher

frequency distributions compared to the C/C genotype in females with body fat

percentages below 30% (p = 0.022 and p = 0.004, respectively).

Conclusions: Taiwanese individuals carrying the C/C homozygous genotype

of the GNB3 gene may have a higher susceptibility to obesity, particularly

among females. This finding could potentially be combined with polymorphisms

of other obesity-related genes to develop a clinical screening tool for assessing

obesity risk.

Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

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