Abstract
Obesity has become one of the world's most serious public health issues. Because the causes of obesity are complex and multifactorial, new eras of research are opening for the effective control of obesity through gene and nutrition intake interactions. Individuals' obesity tendencies are thought to be determined by GWASs (genome-wide association studies), which leads to powerful discoveries relevant to population health. Over 300 Thai obesity participants in the Siriraj Genomic Thailand cohort to conduct a GWAS on obesity-related variables such as BMI, body composition, blood clinical profile, and dietary intake. We examined 446,370 single-nucleotide polymorphisms (SNPs) and obesity trait associations, yielding 50 SNPs with significant obesity-associated traits. We discovered five SNPs (rs114330431, rs4964357, rs12190237, rs140552528, rs12103676, and rs4713103) that were associated with increased weight, BMI, waist circumference, and hip circumference (P 0.05). Seven SNPs have been linked to rising lipid profile levels, including rs4964357, rs12190237, rs117828572, rs142722966, rs9577364, and rs11779272. We discovered the effect of genetic variants on the risk of obesity-related comorbidities, including rs142722966, rs116845541, and rs2059238 have been associated with Diabetes and metabolic syndrome difficulties, while 6 SNPs have been linked to high blood pressure issues (rs79392564, rs12033263, rs79949466, rs77592423, rs6111497, and rs1597468). Linear regression analyses of dietary energy and macronutrient intakes with the SNP. The risk allele at rs4739762 and rs75047180 was associated with increased total fat (per allele effect: 18.06 g/d (95%IC 3.83-32.29, p= 0.013)), animal protein intake (per allele effect: 23.45 g (95%IC 10.69-36.22, p<0.001)), Vitamin A intake (per allele effect: 993.86 RAE (95%IC 454.68-1533.03, p<0.001) and Niacin intake (per allele effect: 5.24 mg (95%IC 1.39-9.09, p=0.008)). In conclusion, the obesity-related genetic loci identified here provide new insights into the genetic underpinnings of adiposity in the Thai population. This study adds to our understanding of the factors that contribute to obesity, which can help influence precision nutrition for obesity prevention and treatment.
