Association between FTO gene polymorphism and obesity in down syndrome children

Children with Down syndrome (DS) have a higher incidence of overweight and obesity compared to typically developing peers. The fat mass and obesity-associated gene (FTO) is one of the early identified genes linked to obesity in various populations. To date, the FTO rs17817449 gene polymorphism has not been investigated in overweight/obese-DS (ODS) individuals. The current study aimed to explore the potential association between the FTO rs17817449 gene polymorphism and obesity-related markers, and to evaluate the ability of this polymorphism in the prediction of overweight/obesity in DS children and adolescents. This case-control study included 100 DS children under the age of 18, classified into three groups according to BMI-percentile; 50 non-obese DS (NODS), 24 overweight DS, and 26 ODS. Genotyping of FTO gene rs17817449 polymorphism was performed using the restriction fragment length polymorphism (RFLP-PCR) method. Serum lipid and thyroid profiles were also assessed. The results revealed significant increase in the frequency of the FTO rs17817449 T allele among overweight /ODS children compared to NODS children (p=0.0099). Overweight/ODS children exhibited significantly higher frequencies of the FTO rs17817449 GT and TT genotypes compared to NODS children.

There is an association between FTO rs17817449 genetic variant and overweight/obesity among the studied DS groups. The FTO rs17817449 GT and TT genotypes, as well as TGs level, were identified as independent risk factors for predicting overweight and obesity in DS children.

• Overweight and obese-DS (ODS) children displayed higher BMI and atherogenic lipid profile than non-obese DS children (NODS). FTO gene polymorphism rs17817449 contributes to obesity development in general population, but there is conflicting information about the risk allele.

• FTO rs17817449 TT genotype and T allele were considered as independent risk factors for overweight and obesity development in DS children, so they could be used for obesity prediction in DS children.