Home Life Sciences The effect of rs9930506 FTO gene polymorphism on obesity risk: a meta-analysis
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The effect of rs9930506 FTO gene polymorphism on obesity risk: a meta-analysis

  • S Doaei , SA Mosavi Jarrahi , A Sanjari Moghadam , ME Akbari , S Javadi Kooshesh , M Badeli , Gh Azizi Tabesh , S Abbas Torki , M Gholamalizadeh EMAIL logo , ZH Zhu , F Montazeri and S Mirzaei Dahka
Published/Copyright: December 18, 2019
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Biomolecular Concepts
From the journal Biomolecular Concepts Volume 10 Issue 1

Abstract

Obesity is associated with polymorphisms of the fat mass and obesity associated gene (FTO). This meta-analysis aimed to investigate the association of the rs9930506 FTO gene polymorphism and obesity. To the best of our knowledge, this study is the first meta-analysis to evaluate the relation between FTO rs9930506 polymorphism and obesity.

We searched PubMed, Web of Science, and Embase to identify studies investigating the relations between the rs9930506 FTO gene polymorphism and obesity risk. We pooled adjusted odds ratios (OR) as overall and in continent subgroups. A Fixed-effects model was used to analyze the results of these studies in dominant and recessive models.

By examining 3337 obesity cases and 3159 healthy controls, we identified 8 eligible case-control studies. Considering the dominant model of inheritance, there was a relationship between the rs9939506 polymorphism and obesity (OR=1.34 [1.03- 1.74]). The association remained significant in the European subgroup (OR=1.68 [1.2-2.36]), but not in the Asian subgroup. Using the recessive model, we also found a significant relationship when the overall association was investigated (OR=2.47; 95% CI 1.56-3.91). In conclusion, this study identified that the carriers of the risk allele of FTO rs9930506 polymorphism are at higher risk for obesity.

Keywords: Obesity; FTO; polymorphism; rs9930506

Introduction

Prevalence of obesity is rising around the world and presently obesity is a worldwide health-related problem [1]. More than one-third of adults (34.9 %) and 16.9 % of 2 to 19 year-olds in the United States are obese [2]. Obesity may increase the risk of many diseases, such as cardiovascular disease, type 2 diabetes, cancers, hypertension, and dyslipidemia. Various factors have been implemented in the formation and progression of obesity [3]. Genetics, behavioral and environmental effects are among the most important factors associated with the risk of obesity [3, 4]. Several studies have identified a relationship between the Fat mass and obesity gene (FTO) and obesity, highlighting it as a gene of interest for obesity research [5, 6]. The FTO gene is highly expressed in the hypothalamus, visceral fat and liver. It contributes to an inflammatory state, food intake and appetite [6, 7].

Several polymorphisms of the FTO gene including rs178117449, rs9939609, rs3751812, rs1421085, rs9930506, and rs7202116 have been associated with obesity [8]. FTO rs9930506 polymorphism is reported to have a strong effect on body weight, BMI, and body composition [6, 7].

The expression of the FTO gene is related to the regulation of food intake [8] and carriers of the obesity risk allele of FTO had higher food intake and appetite for high- calorie foods [9]. Moreover, in carriers of obesity risk allele of FTO, fat cell lipolysis is reduced, indicating the possible primary role of FTO gene in fat metabolism [10]

Until recently, only a few studies have investigated the association between FTO rs9930506 and obesity, which reported inconsistent results. For example, one study found that variants in FTO gene were not associated with obesity in a Chinese Han population [18]. Therefore, we carried out a systematic review and meta-analysis to investigate the association of FTO rs9930506 polymorphism with obesity.

Methods

Publication search

We systematically searched literatures in PubMed, Embase, and Web of Science databases up to February 2019 for studies concerning the association between rs9930506 FTO polymorphism and obesity (or obesity-related traits including body weight, fat mass, and BMI). The search was not limited by language. Our search strategy consisted of terms related to polymorphism (Mesh term “Polymorphism, Single Nucleotide”) combined with specific terms for obesity (Mesh term “obesity”). The keywords including (FTO OR fat mass and obesity-associated gene OR rs9930506) AND ((obesity associated gene) OR (FTO) OR (rs9930506)) AND ((Polymorphism) OR (variant) OR (variation) OR (genotype)) AND (obesity) were used to search. Further assessment was performed with hand search of references of eligible studies and meta-analyses.

Inclusion and exclusion criteria

Studies included in this meta-analysis comprised the following criteria: 1) studies investigating the relations between obesity risk and rs9930506 polymorphism. 2) Studies with case-control design, 3) the cases were obese and the controls were healthy subject, 3) Sufficient data available to calculate odds ratio (OR) with a confidence interval (CI) of 95%. Exclusion criteria were: 1) Studies with no control group, 2) all type of letters to editors, commentary, and editorial, animal studies, case reports, and case series, 3) studies in which the control subjects violated the Hardy-Weinberg Equilibrium (HWE).

Data extraction

Two reviewers (SD and MGh) independently searched the databases and extracted the required data using a standardized form. Information on author name, country, ethnicity, year of publication, mean age, mean BMI, source of controls (population based or hospital based) and odds ratios (OR) and their reported 95% confidence interval for homozygote, heterozygote, recessive and dominant models were retrieved. P-values of the HWE were calculated from the above genotype data. The search results were then evaluated by four reviewers (SAMJ, GAT, ASM, MB) and disagreements were resolved by discussions among the reviewers. For adults, subjects with BMI ≥30 kg/m2 were defined as case subjects of obesity, and individuals with BMI <30 kg/m2 were considered control subjects. For children, the WHO criteria for childhood obesity was adopted [11].

Quality assessment

Four methodological components which may bias the association between FTO gene polymorphism and risk of obesity were assessed: (1) source of control group, (2) ethnicity, (3) Hardy-Weinberg Equilibrium among controls, and (4) sample size.

Statistical analysis

The overall effects were calculated in dominant and recessive genetic models in this meta-analysis. The effect sizes were calculated by both fixed and random-effect models. Heterogeneity across studies was assessed using Q and I2 statistics. An I2 value above 75% at a significance level of <0.1 was considered a statistically significant heterogeneity. Publication bias and small study effect were assessed with the Egger’s test and contour-enhanced funnel plot. The contour-enhanced funnel plot makes it easier to assess the statistical significance of the hypothetical missing studies. We assessed the measure of association for GG vs A/G+A/A (recessive), and G/G+A/G vs A/A (dominant)).

In addition to overall analysis (where all groups were combined), subgroup analysis was performed for continent subgroups (Asian and European). All analyses were performed using Stata version 13 (Stata Corp LP, College Station, TX, USA).

Results

Characteristics of the included studies

According to the search strategy, a total of 923 articles were retrieved from databases. After the first screening, in which the titles and abstracts were reviewed for relevance, 852 articles were excluded. After reviewing full text of these articles, 63 additional articles were excluded, which left total of 8 articles for inclusion in this meta-analysis (3337 obesity cases and 3159 healthy controls) according to the PRISMA guidelines [12], the flow diagram is shown in Figure 1.

Figure 1 Flow diagram. Literature selection flow diagram according PRISMA guideline
Figure 1

Flow diagram. Literature selection flow diagram according PRISMA guideline

Dominant model

Considering the dominant model of inheritance, there was a relationship between the rs9930506 polymorphism and obesity (OR 1.34 [1.03- 1.74]). There was observable heterogeneity (I2: 74.8%, P=.001) and small study effect (b=2.87, P=.01) in this analysis. The association remained significant in European subgroup (OR 1.68 [1.2-2.36]), but not in Asian subgroup (Figure 2, 3).

Figure 2 Forest plot of association between FTO rs9930506 polymorphism and the risk of obesity [dominant model GG + AG vs AA]
Figure 2

Forest plot of association between FTO rs9930506 polymorphism and the risk of obesity [dominant model GG + AG vs AA]

Figure 3 Forest plot of association between FTO rs9930506 polymorphism and the risk of obesity in Asian and European subgroups [dominant model GG + AG vs AA].
Figure 3

Forest plot of association between FTO rs9930506 polymorphism and the risk of obesity in Asian and European subgroups [dominant model GG + AG vs AA].

Recessive model

Regarding the recessive model, five studies reported adjusted or there was observable heterogeneity (I2: 63.6%, P=.027), but Egger’s test provided no evidence of publication bias (b=3.82, P=.062) in the analysis of this model. Overall, a significant association was seen in the recessive model (OR 2.47 [1.56-3.91]) (Figure 4).

Figure 4 Forest plot of association between FTO rs9930506 polymorphism and the risk of obesity [recessive model GG vs AG + AA].
Figure 4

Forest plot of association between FTO rs9930506 polymorphism and the risk of obesity [recessive model GG vs AG + AA].

Discussion

To our knowledge, this is the first meta-analysis to investigate the association between rs9930506 FTO polymorphism and obesity risk. This meta-analysis investigated the associations between FTO rs9930506 polymorphism and obesity risk in 3337 cases and 3159 controls. We found significant evidence for a modest increase in the risk allele carriers in various ethnic populations. Some studies have reported that FTO polymorphisms plays a key role in regulating body weight and BMI [13, 14, 15, 16, 17, 18, 19]. The FTO rs9930506 polymorphism is located in intron 1 and carriers of G allele are at higher risk of obesity [20, 21]. Some Studies reported that FTO polymorphisms play a critical role in food intake and energy expenditure [22, 23, 24]. However, it seems that the effects of FTO gene on body weight, body fat and body composition can be independent of food intake and energy expenditure, since this association remained significant after adjustments for physical activity and food intake [25].

Several meta-analyses have been conducted on the FTO polymorphisms and obesity risk [26, 27, 28]. Quan et al reported that homozygous risk allele carrier’s rs9939609 polymorphism increased obesity risk in children and adolescents [28]. Wardle et al found that FTO variants could impair satiety control thus have influence on appetite and adiposity [29]. Another meta-analysis was found that FTO polymorphisms are associated with obesity in the Chinese population [30].

The exact molecular mechanism of FTO on obesity, body weight and BMI is not clear yet. Recently, it is reported that FTO genotype had a strong association with obesity through changing the expression level of Iroquois-related homeobox 3 (IRX3) gene [31]. IRX3 is a member of the Iroquois homeobox gene family and it was known to play an important role in the early step of neural development [32, 33]. The expression level of IRX3 in hypothalamus could be related to energy intake. It has been demonstrated that the IRX3 gene is controlled by a sequence of intron 1 of the FTO gene and polymorphisms in this intron can influence the expression level of IRX3 [26].

Limitations

Our results may demonstrate a relationship between FTO rs9930506 polymorphism and obesity risk. However, the exact pathways by which FTO rs9930506 polymorphism is associated with obesity are not specified yet and require further investigations.

Conclusion

This meta-analysis demonstrated that the FTO gene is associated with the risk of obesity. FTO rs9930506 polymorphism has a strong relation to obesity. Further studies are needed to increase our understanding of the association between FTO rs9930506 polymorphism and obesity.

Acknowledgments

This study was funded by Shahid Beheshti University of Medical Sciences, Tehran, Iran (code 13880).

  1. Conflict of interest: Authors state no conflict of interest.

  2. Ethics approval: The conducted research is not related to either human or animals use.

  3. Availability of data and material: Not applicable

Abbreviations

FTO:

Fat mass and Obesity gene

BMI:

Body mass index

HWE:

Hardy-Weinberg Equilibrium

IRX3:

Iroquois-related homeobox 3

References

1 Haslam DW, James WP. Obesity. Lancet 2005;366 (9492):1197– 20910.1016/S0140-6736(05)67483-1Search in Google Scholar PubMed

2 Ogden CL, Carroll MD, Kit BK, Flegal KM. Prevalence of Childhood and Adult Obesity in the United States, 2011-2012. JAMA. 2014;311(8):806-81410.1001/jama.2014.732Search in Google Scholar PubMed PubMed Central

3 The Surgeon General’s Call To Action To Prevent and Decrease Overweight and Obesity. Rockville (MD): Office of the Surgeon General (US); 2001. Available from: http://www.ncbi.nlm.nih.gov/books/NBK44206Search in Google Scholar

4 Abdollahi SH, Toupchian O, Jayedi A, Meyre D, Tam V, Soltani S. Zinc Supplementation and Body Weight: A Systematic Review and Dose–Response Meta-analysis of Randomized Controlled Trials, Advances in Nutrition, nmz084, https://doi.org/10.1093/advances/nmz08410.1093/advances/nmz084Search in Google Scholar PubMed PubMed Central

5 Fruhbeck G, Gomez-Ambrosi J, Muruzabal FJ, Burrell MA. The adipocyte: a model for integration of endocrine and metabolic signaling in energy metabolism regulation. Am J Physiol Endocrinol Metab. 2001;280(6):827–847.10.1152/ajpendo.2001.280.6.E827Search in Google Scholar PubMed

6 Fredriksson R, Hagglund M, Olszewski PK, Stephansson O, Jacobsson JA, Olszewska AM, et al. The obesity gene, FTO, is of ancient origin, up-regulated during food deprivation and expressed in neurons of feeding-related nuclei of the brain. Endocrinology. 2008;149(5):2062–2071.10.1210/en.2007-1457Search in Google Scholar PubMed

7 Scuteri A, Sanna S, Chen WM, Uda M, Albai G, Strait J, et al. Genome-wide association scan shows genetic variants in the FTO gene are associated with obesity-related traits. PLoS Genet. 2007;3(7):e115.10.1371/journal.pgen.0030115Search in Google Scholar PubMed PubMed Central

8 Speakman JR, Rance KA, Johnstone AM. Polymorphisms of the FTO gene are associated with variation in energy intake, but not energy expenditure. Obesity 2008;16(8):1961–5.10.1038/oby.2008.318Search in Google Scholar PubMed

9 Livingstone KM, Celis-Morales C, Lara J, Ashor AW, Lovegrove JA, Martinez JA, et al. Associations between FTO genotype and total energy and macronutrient intake in adults: a systematic review and meta-analysis. Obes Rev. 2015;16:666–678. doi: 10.1111/obr.12290.10.1111/obr.12290Search in Google Scholar PubMed

10 Gulati P, Yeo GS. The biology of FTO: from nucleic acid demethylase to amino acid sensor. Diabetologia. 2013;56(10):2113–2121.10.1007/s00125-013-2999-5Search in Google Scholar PubMed PubMed Central

11 Onis MD, Onyango AW, Borghi E, Siyam A, Nishida C, Siekmann J. Development of a WHO growth reference for school-aged children and adolescents. Bull World Health Organ. 2007;85(9):660–667. doi: 10.2471/BLT.07.04349710.2471/BLT.07.043497Search in Google Scholar PubMed PubMed Central

12 Moher D, Liberati A, Tetzlaff J, Altman D. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med. 2009;6(7):234–4110.1371/journal.pmed.1000097Search in Google Scholar PubMed PubMed Central

13 Peters T, Ausmeier K, Ruther U. Cloning of Fatso (Fto), a novel gene deleted by the Fused toes (Ft) mouse mutation. Mammalian genome : Official journal of the International Mammalian Genome Society. 1999;10(10):983-610.1007/s003359901144Search in Google Scholar PubMed

14 Jia G, Fu Y, Zhao X, Dai Q, Zheng G, Yang Y, et al. N6-methyladenosine in nuclear RNA is a major substrate of the obesity-associated FTO. Nature chemical biology.2011;7(12):885-7.10.1038/nchembio.687Search in Google Scholar PubMed PubMed Central

15 Kalantari N, Mohammadi NK, Izadi P, Doaei S, Gholamalizadeh M, Eini-Zinab H, et al. A haplotype of three SNPs in FTO had a strong association with body composition and BMI in Iranian male adolescents. PLoS ONE. 2018;13(4):e0195589. doi: 10.1371/journal.pone.019558910.1371/journal.pone.0195589Search in Google Scholar PubMed PubMed Central

16 Mitra SR, Tan PY, Amini F. Effect of FTO rs9930506 on obesity and interaction of the gene variants with dietary protein and vitamin E on C‐reactive protein levels in multi‐ethnic Malaysian adults. Journal of human nutrition and dietetics. 2018;31(6):758-72.10.1111/jhn.12593Search in Google Scholar PubMed

17 Goutzelas Y, Kotsa K, Vasilopoulos Y, Tsekmekidou X, Stamatis C, Yovos JG, et al. Association analysis of FTO gene polymorphisms with obesity in Greek adults. Gene. 2017;613:10-3.10.1016/j.gene.2017.02.033Search in Google Scholar PubMed

18 Li H, Wu Y, Loos RJ, Hu FB, Liu Y, Wang J, et al. Variants in the fat mass–and obesity-associated (FTO) gene are not associated with obesity in a Chinese Han population. Diabetes. 2008;57(1):264-8.10.2337/db07-1130Search in Google Scholar PubMed

19 Wrzosek M, Zakrzewska A, Ruczko L, Jabłonowska-Lietz B, Nowicka G. Association between rs9930506 polymorphism of the fat mass & obesity-associated (FTO) gene & onset of obesity in Polish adults. The Indian journal of medical research. 2016;143(3):281.10.4103/0971-5916.182617Search in Google Scholar PubMed PubMed Central

20 Chuenta W, Phonrat B, Tungtrongchitr A, Limwongse C, Chongviriyaphan N, Santiprabhob J, et al. Common variations in the FTO gene and obesity in Thais: a family-based study. Gene. 2015;558(1):75-81.10.1016/j.gene.2014.12.050Search in Google Scholar PubMed

21 Chauhan G, Tabassum R, Mahajan A, Dwivedi OP, Mahendran Y, Kaur I, et al. Common variants of FTO and the risk of obesity and type 2 diabetes in Indians. Journal of human genetics. 2011;56(10):720.10.1038/jhg.2011.87Search in Google Scholar PubMed

22 Konner AC, Klockener T, Bruning JC. Control of energy homeostasis by insulin and leptin: targeting the arcuate nucleus and beyond. Physiol Behav 2009;97:632–638.10.1016/j.physbeh.2009.03.027Search in Google Scholar PubMed

23 Zabena C, Gonzalez-Sanchez JL, Martinez-Larrad MT, Torres Garcia A, Alvarez-Fernandez-Represa J, Corbaton-Anchuelo A et al. The FTO obesity gene. Genotyping and gene expression analysis in morbidly obese patients. Obes Surg 2009;19:87– 95.10.1007/s11695-008-9727-0Search in Google Scholar PubMed

24 Kochetova OV, Korytina GF, Akhmadishina LZ, Semenov EE, Viktorova TV. Association of polymorphic variants of FTO and MC4R genes with obesity in a Tatar population. Genetika. 2015;51(2):248-55.25.10.1134/S1022795414120059Search in Google Scholar

25 Do R, Bailey SD, Desbiens K, Belisle A, Montpetit A, Bouchard C, et al. Genetic variants of FTO influence adiposity, insulin sensitivity, leptin levels, and resting metabolic rate in the Quebec Family Study. Diabetes 2008;57:1147–1150.10.2337/db07-1267Search in Google Scholar PubMed

26 Smemo S, Tena JJ, Kim KH, Gamazon ER, Sakabe NJ, Gómez-Marín C, et al. Obesity-associated variants within FTO form long-range functional connections with IRX3. Nature. 2014;507(7492):371-5.10.1038/nature13138Search in Google Scholar PubMed PubMed Central

27 Silva AM. The FTO rs9939609 polymorphism and obesity risk in teens: Evidence-based meta-analysis. Obesity research & clinical practice. 2018;12(5):432-7.10.1016/j.orcp.2018.08.001Search in Google Scholar PubMed

28 Quan LL, Wang H, Tian Y, Mu X, Zhang Y, Tao K. Association of fat-mass and obesity-associated gene FTO rs9939609 polymorphism with the risk of obesity among children and adolescents: a meta-analysis. Eur Rev Med Pharmacol Sci. 2015;19(4):614-23.Search in Google Scholar PubMed

29 Wardle J, Carnell S, Haworth CM, Farooqi IS, O’Rahilly S, Plomin R. Obesity associated genetic variation in FTO is associated with diminished satiety. J Clin Endocrinol Metab 2008;93:3640-3643.10.1210/jc.2008-0472Search in Google Scholar PubMed

30 Zhao NN, Dong GP, Wu W, Wang JL, Ullah R, Fu JF. FTO gene polymorphisms and obesity risk in Chinese population: a meta-analysis. World Journal of Pediatrics 2019;1-810.1007/s12519-019-00254-2Search in Google Scholar PubMed

31 Rutters F, Nieuwenhuizen AG, Bouwman F, Mariman E, Westerterp-Plantenga MS. Associations between a single nucleotide polymorphism of the FTO Gene (rs9939609) and obesity-related characteristics over time during puberty in a Dutch children cohort. The Journal of Clinical Endocrinology & Metabolism. 2011;96(6):E939-42.10.1210/jc.2010-2413Search in Google Scholar PubMed

32 Lewis MT, Ross S, Strickland PA, Snyder CJ, Daniel CW. Regulated expression patterns of IRX-2, an Iroquois-class homeobox gene, in the human breast. Cell and Tissue Research.1999;296(3):549–54.10.1007/s004410051316Search in Google Scholar PubMed

33 Gholamalizadeh M, Doaei S, Akbari ME, Rezaei S, Jarrahi AM. Influence of fat mass-and obesity-associated genotype, body mass index, and dietary intake on effects of iroquois-related homeobox 3 gene on body weight. Chin Med J (Engl). 2018;131(17):2113-2.10.4103/0366-6999.239309Search in Google Scholar PubMed PubMed Central

Received: 2019-08-26
Accepted: 2019-10-28
Published Online: 2019-12-18
Published in Print: 2019-12-18

© 2019 Doaei S., published by De Gruyter

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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https://doi.org/10.1515/bmc-2019-0025
Keywords for this article
Obesity; FTO; polymorphism; rs9930506
Creative Commons
BY-NC-ND 4.0

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