The BDNF rs6265 variant may interact with overweight and obesity to influence obesity-related physical, metabolic and behavioural traits in Pakistani individuals

The impact of CPT1B rs470117, LEPR rs1137101 and BDNF rs6265 polymorphisms on the risk of developing obesity in an Italian population

OBJECTIVE

This study aimed to analyze 11 single nucleotide polymorphisms (SNPs) belonging to 9 genes involved in metabolic pathways (BDNF rs6265; PNPLA3 rs2294918 and rs2076212; CIDEA rs11545881; NTRK2 rs2289658; ALOX12 rs1126667; ALOX12B rs2304908; LEPR rs1137101; CPT1B rs470117 and rs8142477; rs2305507 CPT1A) in obese patients and controls.

METHODS

Polymorphisms were analyzed in 300 severe obese patients undergoing bariatric surgery (body mass index >30 kg/m²) and 404 control subjects in order to evaluate their association with obesity and clinical variables.

RESULTS

Our findings showed significant differences for the allelic distributions of CPT1B rs470117 and LEPR rs11371010 in obese subjects compared to controls. The BDNF rs6265 correlates with obesity only when associated with the other two SNPs. In particular, for CPT1B rs470117 and LEPR rs1137101, the rare allele was associated with a reduced risk of developing the obese phenotype, whereas the simultaneous presence of the common C allele for rs470117 and A allele for rs1137101 was more frequent in obese patients (p = 0.002, OR = 1.417). A significant association between CPT1B rs470117 and steatosis was found. Moreover, we observed that by associating the rare allele T of the BDNF rs6265 with the most common alleles of the SNPs CPT1B rs470117 and LEPR rs1137101, the combination of T-C-A alleles was associated with a higher risk of developing an obese phenotype (p = 0.001, OR = 1.6679).

CONCLUSIONS

Our results suggest that SNPs CPT1B rs470117 and LEPR rs1137101 taken individually and in association with BDNF rs6265 may be involved in an increased risk of developing obese phenotype in an Italian cohort.

Predicting anthropometric and metabolic traits with a genetic risk score for obesity in a sample of Pakistanis

Obesity is an outcome of multiple factors including environmental and genetic influences. Common obesity is a polygenic trait indicating that multiple genetic variants act synergistically to influence its expression. We constructed a genetic risk score (GRS) based on five genetic variants (MC4R rs17782313, BDNF rs6265, FTO rs1421085, TMEM18 rs7561317, and NEGR1 rs2815752) and examined its association with obesity-related traits in a sample of Pakistanis. The study involved 306 overweight/obese (OW/OB) and 300 normal-weight (NW) individuals. The age range of the study participants was 12-63 years. All anthropometric and metabolic parameters were measured for each participant via standard procedures and biochemical assays, respectively. The genetic variants were genotyped by allelic discrimination assays. The age- and gender-adjusted associations between the GRS and obesity-related anthropometric and metabolic measures were determined using linear regression analyses. The results showed that OW/OB individuals had significantly higher mean ranks of GRS than NW individuals. Moreover, a significant association of the GRS with obesity-related anthropometric traits was seen. However, the GRS did not appear to affect any obesity-related metabolic parameter. In conclusion, our findings indicate the combined effect of multiple genetic variants on the obesity-related anthropometric phenotypes in Pakistanis.

Association and interaction of the FTO rs1421085 with overweight/obesity in a sample of Pakistani individuals

PURPOSE

Genetic variants determine the predisposition of an individual to obesity in a given environment. The present study was conducted to seek an association of the FTO variant rs1421085 with overweight/obesity and related traits in 612 Pakistani subjects in a case-control manner (overweight/obese = 306 and non-obese = 306). Moreover, interaction effects of the rs1421085 and overweight/obesity on multiple metabolic traits were also investigated, which were never explored before in Pakistani as well as in any other population.

MATERIALS AND METHODS

Anthropometric traits were measured by standard procedures, while metabolic parameters were determined by biochemical assays. Genotyping of the rs1421085 was carried out by TaqMan allelic discrimination assay. The data were analysed using SPSS software version 19.

RESULTS

The study revealed a significant association of the rs1421085 with overweight/obese phenotype with respect to over-dominant model indicated by h-index. The CT genotype of the rs1421085 was observed to increase the risk of being overweight/obese by 1.583 times (95% CI 1.147-2.185, p = 0.005). The CT genotype was also found to be associated with higher values of all anthropometric variables (except height and waist-to-hip ratio). Moreover, the interaction between the CT genotype of the rs1421085 and overweight/obesity was found to influence several metabolic parameters (raised blood pressure, product of triglyceride and glucose index, triglyceride levels, LDL-C, VLDL-C, coronary risk index, atherogenic index, and triglyceride-to-HDL-C ratio).

CONCLUSION

In conclusion, the rs1421085 was found to be associated with overweight/obesity and related anthropometric traits independent of age and gender in Pakistani population. Moreover, this variant was found to influence various metabolic traits in the presence of overweight/obesity.

LEVEL OF EVIDENCE

Level III, case-control analytic study.