Is fat mass & obesity-associated (FTO) gene master regulator of obesity ?

Genome-wide association study of morbid obesity in Han Chinese

BACKGROUND

As obesity is becoming pandemic, morbid obesity (MO), an extreme type of obesity, is an emerging issue worldwide. It is imperative to understand the factors responsible for huge weight gain in certain populations in the modern society. Very few genome-wide association studies (GWAS) have been conducted on MO patients. This study is the first MO-GWAS study in the Han-Chinese population in Asia.

METHODS

We conducted a two-stage GWAS with 1110 MO bariatric patients (body mass index [BMI] ≥ 35 kg/m2) from Min-Sheng General Hospital, Taiwan. The first stage involved 575 patients, and 1729 sex- and age-matched controls from the Taiwan Han Chinese Cell and Genome Bank. In the second stage, another 535 patients from the same hospital were genotyped for 52 single nucleotide polymorphisms (SNPs) discovered in the first stage, and 9145 matched controls from Taiwan Biobank were matched for confirmation analysis.

RESULTS

The results of the joint analysis for the second stage revealed six top ranking SNPs, including rs8050136 (p-value = 7.80 × 10- 10), rs9939609 (p-value = 1.32 × 10- 9), rs1421085 (p-value = 1.54 × 10- 8), rs9941349 (p-value = 9.05 × 10- 8), rs1121980 (p-value = 7.27 × 10- 7), and rs9937354 (p-value = 6.65 × 10- 7), which were all located in FTO gene. Significant associations were also observed between MO and RBFOX1, RP11-638 L3.1, TMTC1, CBLN4, CSMD3, and ERBB4, respectively, using the Bonferroni correction criteria for 52 SNPs (p < 9.6 × 10- 4).

CONCLUSION

The most significantly associated locus of MO in the Han-Chinese population was the well-known FTO gene. These SNPs located in intron 1, may include the leptin receptor modulator. Other significant loci, showing weak associations with MO, also suggested the potential mechanism underlying the disorders with eating behaviors or brain/neural development.

Determination of individual type 2 diabetes risk profile in the North East Indian population & its association with anthropometric parameters

Background & objectives:

Diabetes genomics research has illuminated single nucleotide polymorphism (SNP) in several genes including, fat mass and obesity associated (FTO) (rs9939609 and rs9926289), potassium voltage-gated channel subfamily J member 11 (rs5219), SLC30A8 (rs13266634) and peroxisome proliferator-activated receptor gamma 2 (rs1805192). The present study was conducted to investigate the involvement of these polymorphisms in conferring susceptibility to type 2 diabetes (T2D) in the North East Indian population, and also to establish their association with anthropometric parameters.

Methods:

DNA was extracted from blood samples of 155 patients with T2D and 100 controls. Genotyping was performed by polymerase chain reaction-restriction fragment length polymorphism and DNA sequencing. To confirm the association between the inheritance of SNP and T2D development, logistic regression analysis was performed.

Results:

For the rs9939609 variant (FTO), the dominant model AA/(AT+TT) revealed significant association with T2D [odds ratio (OR)=2.03, P=0.021], but was non-significant post correction for multiple testing (P=0.002). For the rs13266634 variant (SLC30A8), there was considerable but non-significant difference in the distribution pattern of genotypic polymorphisms between the patients and the controls (P=0.004). Significant association was observed in case of the recessive model (CC+CT)/TT (OR=4.56 P=0.001), after adjusting for age, gender and body mass index. In addition, a significant association (P=0.001) of low-density lipoprotein (mg/dl) could be established with the FTO (rs9926289) polymorphism assuming dominant model.

Interpretation & conclusions:

The current study demonstrated a modest but significant effect of SLC30A8 (rs13266634) polymorphisms on T2D predisposition. Considering the burgeoning prevalence of T2D in the Indian population, the contribution of these genetic variants studied, to the ever-increasing number of T2D cases, appears to be relatively low. This study may serve as a foundation for performing future genome-wide association studies (GWAS) involving larger populations.

The association of the common fat mass and obesity associated gene polymorphisms with type 2 diabetes in obese Iraqi population

BACKGROUND & OBJECTIVES

This study investigates the association of two potential Fat mass and obesity associated gene (FTO) gene polymorphisms (rs9939609 and rs918031) as potential predictors of type 2 diabetes (T2D) in obese Iraqi population and their metabolic effects on hyperglycemia and insulin sensitivity.

MATERIALS & METHODS

The study included 400 participants with obesity & T2D, with a matching 400 obese non-diabetic cohort. Venous blood samples were collected for DNA extraction. Using specific primers and restriction enzymes, genotyping was performed to identify the various alleles for each gene. The genotype and allele frequencies determined by multinomial logistic regression analysis for FTO single nucleotide polymorphisms (rs9939609) among all the study groups.

RESULTS

There is a two-fold increase in the risk of T2D within the homozygous genotype (TT) group (OR = 2.43, CI 95% 3.57-11.2, P ≤ 0.001) as compared to the wild type (TA). In addition, there was a significantly higher level of the minor allele genotype (T) in T2D patients when compared to the control group, (P ≤ 0.001).

CONCLUSION

We conclude that the FTO rs9939609 genotype significantly affect the development of insulin resistance, therefore the future occurrence of T2D, in obese individuals.

Relationship Between Fat Mass and Obesity-Associated (FTO) Gene Polymorphisms with Obesity and Metabolic Syndrome in Ethnic Mongolians

Background

The distribution of fat mass and obesity-associated gene (FTO) genes rs9939609 and rs1421085 in obese and normal ethnic Mongolians was analyzed to investigate the association of FTO gene polymorphisms with obesity and metabolic syndrome in ethnic Mongolians.

Material/Methods

The genotypes of FTO genes rs9939609 and rs1421085 in 500 subjects were detected by allele-specific PCR (AS-PCR). General characteristics and clinical biochemical indicators were compared between the obesity group and the control group. The correlation between different genotypes and obesity metabolic index was also analyzed.

Results

Body mass, body mass index (BMI), waist circumference (WC), hip circumference (HC), waist-hip ratio (WHR), SBP, DBP, FPG, triglyceride (TG), total cholesterol (TC), and low-density lipoprotein cholesterol (LDL-C) were higher, while HDL-C was lower in the obesity group compared with controls. The frequencies of TT genotype and T allele in the obesity group were higher than those in the control group. The frequencies of these 3 genotypes and allele frequencies of Rs1421085 were comparable between the 2 groups (P>0.05). The risk of obesity in Mongolian individuals carrying rs9939609 AT genotype was 1.312 times higher and the risk in those carrying AA genotype was 1.896 times higher than in individuals with TT genotype. The body weight, BMI, WC, HC, and WHR in individuals with rs9939609 AA and AT genotypes were significantly higher than in those with TT genotype.

Conclusions

The AT/AA genotype and allele A of rs9939609 are associated with an increased risk of obesity.

Association of FTO rs9939609 with Obesity in the Kuwaiti Population: A Public Health Concern?

OBJECTIVE

To investigate the effect of the common fat mass and obesity-associated (FTO) gene polymorphism rs9939609 on body mass index (BMI) in one of the most obese populations worldwide.

SUBJECTS AND METHODS

Genotypic data for FTO rs9939609 were available for 1,034 unrelated Kuwaiti adults obtained from Kuwait's Dasman Diabetes Institute and Kuwait University. The association between the FTO polymorphism with BMI as continuous and categorical (normal BMI [< 25] vs. overweight/obese [> 25]) variables was analyzed using both linear and logistic regression models, respectively, with the assumption of both dominant and additive genetic models performed using the SNPassoc package from R statistics.

RESULTS

The A allele was associated with increased BMI (β = 1.21; 95% CI = 0.16-2.26; p = 0.023). In concordance, the categorical BMI (normal vs. overweight/obese) also showed a significant association between the A allele and overweight/obesity (OR = 1.47; 95% CI = 1.01-2.12; p = 0.041). However, no association between the FTO variant was observed with cardiometabolic traits.

CONCLUSION

We observed an association between the common FTO rs9939609 polymorphism and increased BMI (overweight/obesity) in Kuwaiti adults, which is consistent with previous research in other populations. Our findings encourage further investigation of genetic variants to elucidate the mechanisms involved in the development of obesity in such an obesogenic population.

Effect of selected polymorphisms of genes lep, MTHFR and FTO to BMI level and gender-specificity

The aim of this study is to investigate the effect of selected polymorphisms LEP (G2548A), MTHFR (C677T) and FTO (rs1121980) on body mass index in humans. In the study participated 79 people from Slovakia with some genetic relatedness. Genomic DNA was isolated from the buccal swabs using a commercial kit Qiagen DNA Mini Kit (Qiagen). The detection of SNP polymorphisms in human genes LEP, MTHFR and FTO was performed using molecular genetics methods such as PCR-RFLP and ARMS. The most common genotypes in all 3 polymorphism were found in heterozygous form (for LEP AG = 0.5190, for MTHFR CT = 0.519, for FTO CT =0.4051). The LEP gene had increased frequency of G allele (0.5506), the MTHFR gene T allele (0.6646) and FTO gene T allele (0.50635). The least frequent genotype in LEP was AA (0.1899), in MTHFR was TT (0.0759), in FTO it was CC (0.2911). According to the results we can assume that the genotypes AA (LEP G2548A), CC (FTO rs1121980) and TT (MTHFR C677T) in case of women have a protective effect on the prevalence of obesity, based on BMI, compared to the other genotypes and this polymorphism is gender-specific. Added anthropometric measurements, blood test and extension of the group in the future evaluation could increase the statistical relevance in relation to obesity and gender-specificity.