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The association between FTO genotype with macronutrients and calorie intake in overweight adults



Dietary macronutrients may indirectly affect body weight through their interactions with the fat mass and obesity associated (FTO) gene. This study aimed to investigate the association between FTO gene rs9939609 polymorphism with macronutrients intake in overweight adults.


This study was carried out on 196 overweight adults of Shiraz, Iran. Dietary intake was assessed using a validated 168-item semi-quantitative food frequency questionnaire (FFQ). The FTO gene was genotyped for rs9939609 polymorphism. The association between dietary macronutrients and the FTO genotype were assessed using linear regression after adjustments for sex, age, physical activity, and the serum levels of triglycerides, fasting blood sugar (FBS), and low density lipoprotein (LDL).


The higher intake of carbohydrates (P < 0.001), fat (P = 0.009), and calorie (P = 0.001) were significantly associated with rs9939609 AA genotype (P = 0.001). Carriers of the AA genotype of rs9939609 had significantly higher calorie, fat, and carbohydrate intake than the carriers of the TT genotype after adjusting for age and sex (P = 0.019, P = 0.010 and P = 0.001, respectively). Further adjustments for physical activity, TG, LDL, and FBS did not change these results.


The amounts of dietary calorie, carbohydrate, and fat intake were associated with FTO genotype. Further studies are warranted to confirm these associations and to identify the underlying mechanisms.


The prevalence of obesity as a health-related problem has been dramatically increased in both developed and developing countries [1, 2]. More than 30% of adults’ population of the United States are obese [3]. Obesity is associated with other chronic diseases such as cancer, hypertension, dyslipidemia, cardiovascular disease, type 2 diabetes, and psychological disorders [4]. Obesity is a multifactorial disorder caused by genetics, lifestyle, and environmental factors [5, 6].

The role of some genes in obesity has been reported in many studies [7,8,9]. The fat mass and obesity associated (FTO) gene is located on the chromosome region 16q12.2 and was reported to be strongly associated with obesity [7, 8]. The FTO gene is widely expressed in several tissues such as brain, visceral fat, liver, and hypothalamus. Several studies reported that FTO genotype has a strong association with body mass index (BMI) and obesity [8, 9]. FTO rs9939609 polymorphism is associated with the increased risk of obesity. People with rs9939609 FTO variant alleles (homozygous = AA and heterozygous = AT) are predisposed to greater adiposity than are those with 2 wild-type alleles (TT). The minor allele frequency of rs9939609 is much different based on ethnicity, i.e. it is about 0.449, 0.122, 0.178, and 0.517 in European, Chinese, Japanese, and African populations, respectively [10].

FTO gene has an important role in regulation of food intake, energy balance, appetite, and basal metabolic rate (BMR) [11, 12]. Polymorphisms in the intron regions of FTO gene may act as a regulator of other genes such as Iroquois homeobox 3 (IRX3) and obesity-associated single nucleotide polymorphisms of FTO were associated with expression of IRX3, but not FTO, in human brains [11]. On the other hand, FTO genotypes may influence the association of dietary macronutrients with Body Mass Index (BMI), body weight, food intake, energy balance, appetite, and hormone secretion [12,13,14]. Dietary macronutrients including carbohydrate, fat, and protein, as the main sources of energy, play key roles in regulation of body weight and BMI [14, 15]. However, the effects of polymorphisms in obesity-related genes on the amount of macronutrients’ intake is not clear. So, this study aimed to investigate the interactions between the amount of dietary carbohydrate, protein, and fat with the FTO genotype in overweight adults.


This study was carried out from September 2016 to October 2017 on 199 randomly selected participants referred to the Shohadaye Valfajr health center, Shiraz, Iran. Participants were overweight adults aged 20 to 45 years with BMI between 25 to 29.9 kg/m2. The Inclusion criteria was defined as: healthy people with overweight, willingness to participation in the study, not participating in a weight management programs during two past months, and no weight loss greater than 5% over the last 3 months. Participants with alcohol or drugs addiction (n = 1), smoking, certain weight-related diseases (including specific psychological or neurological disorders, insulin resistance, thyroid diseases, liver diseases, renal failure, and infectious diseases) (n = 1), and pregnant or lactating women (n = 1) were excluded. Thus, the final number of participants in this study was 196. All participants signed a consent form before participation in the study.

Anthropometric measures

The height of the participants was measured with a calibrated tape line fastened to a wall and without shoes with a precision of 0.5 cm. A bio impedance analysis (BIA) scale (BC-418, Tanita Cooperation, Tokyo, Japan) was then used to measure anthropometric indices such as BMI, skeletal muscle percentage (SM%), body fat (BF), skeletal muscle (SM) and body fat percentage (BF%) after entering their height, age, and gender.


DNA was extracted from whole peripheral blood sample using the DNA extraction kit (Cinnagen Company, Tehran, Iran and were stored at − 20 °C before genotyping. The concentration of the extracted material was assessed using spectrophotometer by the NanoDrop® ND-1000 UV-Vis Spectrophotometer (Nanodrop technologies, Rockland, USA). FTO gene was genotyped for rs9939609 polymorphism via tetra-primer amplification refractory mutation system-polymerase chain reaction (Tetra-ARMS PCR). The sequences of the primers are presented in supplementary file 1.

Macronutrients’ intake

Usual Macronutrients’ intakes of the participants were assessed using a validated 168-item semi-quantitative food frequency questionnaires (FFQ) [16]. The FFQ was consisted of 168 food items with standard portion sizes commonly consumed by Iranian people. Face-to-face interviews were conducted by a trained dietitian.

Dietary intake was analyzed using the Nutritionist-4 software program which was modified for Iranian foods [17]. Daily intakes of calorie were measured for each person by using the US Department of Agriculture food consumption database, which was modified for Iranian foods.

Physical activity

A validated international physical activity questionnaire (IPAQ) was used to measure participants’ physical activity [18]. Results obtained from IPAQ were expressed as metabolic equivalents (MET) per minute.

Laboratory measurement

The levels of serum triglyceride (TG), total cholesterol (TC), high -density lipoprotein (HDL), low-density lipoprotein cholesterol (LDL), and glucose were measured after 12 h of an overnight fasting.

Statistical analysis

The Shapiro-Wilk normality normality test was used to determine if the quantitative variables had a normal distribution. ANOVA test was used to compare demographic, anthropometric measurements, macronutrients’ intake, and physical activity between different FTO genotypes. The post hoc Tukey’s test was then used to identify significant differences of calorie and macronutrients intake between three genotypes. Linear regression was used to adjust the effects of confounders including age, sex, PA, TG, TC, LDL, and FBS. Statistical analyses were performed using SPSS version 23.0 (IBM SPSS, IBM Corp., Chicago, USA). The results were considered statistically significant at P < 0.05.

Ethics approval and consent to participate

This study has been approved by ethics review board of Shiraz University of Medical Sciences (Code: ir.sums.rec.1395.100).


All data were normally distributed according to the Shapiro-Wilk normality test. Regarding FTO rs9939609 genotype, about half of the participants were heterozygote (n = 98), about 30% of them were TT wild type (n = 60), and about 20% of them were AA homozygote (n = 38). The genotype distribution of the study population was in Hardy-Weinberg equilibrium. Significant differences were found in BMI (P = 0.047), fat mass (P = 0.001), calorie intake (P = 0.001), fat intake (P = 0.009), and carbohydrate intake (P < 0.001) status of three FTO genotypes (Table 1). Carriers of the AA genotype of FTO rs9939609 polymorphism had significantly higher calorie, fat, and carbohydrate intake than the carriers of the TT genotype (P = 0.019, P = 0.010, and P = 0.000, respectively) (Table 2).

Table 1 characteristics of the subjects categorized by FTO rs9939609 genotypes (N = 196)
Table 2 Tukey test for comparison the calorie and macronutrient intake between three genotypes

Linear association of FTO rs9939609 genotype with the level of macronutrients’ intake (carbohydrate, fat, protein, and fiber) was then assessed after adjustment the effects of confounders. This association remained significant for carbohydrate, calorie and fat intake after adjustment for age and sex (P = 0.000, P = 0.001, and P = 0.009 respectively) (model 1). Further adjustments for physical activity, TG, LDL, and FBS did not change the results (P = 0.001, P = 0.000, and P = 0.019 respectively) (model 2) (Table 3).

Table 3 Association of FTO genotypes with macronutrients’ intake


The present study evaluated the associations between rs9939609 FTO gene polymorphism with calorie, fat, carbohydrate, protein, and fiber intake. The results identified that there was a significant association between FTO genotype with calorie, carbohydrate, and fat intake. This association remained significant for calorie, carbohydrate, and fat intake after adjustments for sex, age, physical activity, LDL, HDL, and FBS. In carriers of AA genotype of rs9939609 polymorphism, dietary carbohydrate, fat, and calorie intake were higher than TT carriers. However, the results of recent studies about the association between dietary macronutrients and FTO polymorphism were inconsistent [19,20,21,22,23,24,25,26,27,28]. Oyeyemi et al. in a case-control study on 103 people with obesity estimated as BMI ≥ 25 and 98 controls identified 354.4 kcal/d more energy intake per risk A allele of rs9939609 [19]. Timpson et al. reported higher calorie and fat intake among rs9939609 AA genotype carriers. They suggest that FTO polymorphism may influence on appetite and food intake [20]. Some other studies also reported that carriers of risk allele FTO received higher energy intake [21]. Consistent with the results of this study, Daya et al. reported that carriers of AT/AA genotype had higher fat intake (1.40 times) and had higher risk of obesity compared with TT genotype [22]. The FTO variants were reported to be associated with intake of energy-dense foods such as fat-rich foods [23]. FTO gene variants played important roles in appetite regulation, food intake, tendency to choose energy-dense food (high fat and high carbohydrate diet) [24]. The carriers of A allele FTO rs9939609 had energy-dense food choices, higher body weight, and overeating behaviors [25]. On the other hand, Qi et al. in a cross-sectional study on white population (n = 154,439) found a lower energy intake per A risk allele (ß = − 7.2 kcal/d) [26]. Another study found no association between a high-fat diet and a high carbohydrate diet with the FTO gene in rats [27]. Drabsch et al. in a systematic review reported that there is no consistent evidence that the FTO gene SNPs are associated with total energy, carbohydrate, and fat intakes [28]. The cause of this discrepancy between the studies remained unclear. However, the relationship between FTO genotype and dietary intake seems to be very complex and many factors may have a role in this association such as the obesity [29], level of physical activity [19], serum leptin [30], and other dietary components [29, 30]. However, only overweight subjects were included because of the possible effect of BMI on the association between FTO genotype and dietary intake.

Regarding to dietary carbohydrate, the AA genotype carriers had higher carbohydrate intake than TT genotype carriers which was in line with the results of the previous studies [31,32,33]. Sonest et al. found that FTO genetic variants are associated with the amounts of carbohydrate intake. Some study reported that carbohydrate intake (especially glucose intake) increased FTO gene expression [31, 32]. In homozygous people for the risk allele of FTO gene rs9930506 polymorphism, higher dietary carbohydrate intake had a positive association with FTO gene expression [32].

This study found no association between protein intake and FTO genotype. While some studies indicated that protein intake was associated with FTO genotype [33, 34]. However, another study reported that leucine intake increased FTO gene expression [34]. Doaei et al. found that higher protein intake up-regulated the FTO gene and also indicated that only in A allele carrier [32].

The mechanism of the interactions between the FTO genotype and dietary macronutrients is not fully understood. The FTO gene polymorphisms may change the amounts of macronutrients’ intake. On the other hand, the association of FTO polymorphisms with obesity may be influenced by dietary intake. It was observed that the A risk allele of FTO rs9939609 polymorphism had no significant association with obesity in subjects whose dietary fat intake was below 30% of total energy, but increased central and total adipose tissues in subjects with fat intake higher than 30% [35]. Another study reported that the risk allele carriers who received Mediterranean diet for 3 years had lower BMI compared with the others [36]. Dietary macronutrients may also change the level of FTO gene expression. Nowacka-Woszuk et al. indicated that a high-fat diet could increase FTO gene expression in white adipose cells in rats [31]. Ronkainen et al. investigated the association between fat intake and the FTO gene expression. They found that a high-fat diet could suppress FTO expression [32].

Some studies suggested that FTO play a crucial role in regulating energy homeostasis. FTO gene is expressed in hypothalamus that controls feeding and energy expenditure [36, 37]. Interestingly, FTO expression level in hypothalamus is regulated by dietary intake. It was reported that a high-fat diet can down-regulate FTO expression in short-term and up regulate it in long-term [38, 39].

On the other hand, the FTO gene is related with gut hormones such as orexigenic hormone, acyl-ghrelin, satiety hormone, peptide YY that regulate food intake and appetite [40]. FTO gene polymorphism (AA genotype) influence on circulating PYY3–36 and acyl-ghrelin levels that lead to increased food intake especially energy-dense foods and reduced satiety [41, 42]. In rs9939609 AA carriers, suppression of acylated ghrelin led to overeating and obesity [43]. So, it is plausible that FTO gene polymorphisms could change appetite and food intake that may lead to weight gain and obesity.

Study strengths and limitations

The main strength of this study was the relatively high sample size of overweight adults and adjustments for sugar and lipid profiles as the possible factors affecting dietary intake. This study also included only overweight subjects because of the possible effect of BMI on the association between FTO genotype and dietary intake. In addition, information on a wide range of potential confounders/modifiers and their potential effects were taken into account. The present study also has several limitations to acknowledge. First, the study was limited by cross-sectional design. Second, dietary intake was determined according to a self-reported questionnaire, this parameter was not measured objectively although similar to many prior epidemiological studies.


The genotype of FTO may influence the amount of dietary intake in overweight people. FTO gene rs9939609 polymorphism was associated with dietary intake. The intake of calorie, carbohydrate, and fat intake were associated with FTO gene polymorphisms and this association remained significant for calorie and macronutrients after adjustments for sex, age, physical activity, LDL, HDL, and FBS. In AA carriers, dietary carbohydrate, fat, calorie was higher than TT carriers. Genetic profile can play a key role in future nutritional recommendations especially for weight management and also for prevention of diet-related chronic diseases. Diet therapy in people with risk allele of FTO rs9939609 polymorphism may require to consider their desire to eat more carbohydrate, fat, and calorie. Further studies are needed to increase understanding of the underlying mechanisms of the association between FTO gene and dietary intake.

Availability of data and materials

Not applicable.


  1. 1.

    Haslam DW, James WP. Obesity. Lancet. 2005;366(9492):1197–209.

    Article  Google Scholar 

  2. 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):806–14.

    CAS  Article  Google Scholar 

  3. 3.

    Alwan A. Global status report on noncommunicable diseases 2010: World Health Organization; 2011.

    Google Scholar 

  4. 4.

    Fall T, Ingelsson E. Genome-wide association studies of obesity and metabolic syndrome. Mol Cell Endocrinol. 2014;382(1):740–57.

    CAS  Article  Google Scholar 

  5. 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):827–47.

    Article  Google Scholar 

  6. 6.

    Fredriksson R, Hagglund M, Olszewski PK, Stephansson O, Jacobsson JA, Olszewska AM, Levine AS, Lindblom J, Schiöth HB. 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 May 1;149(5):2062–71.

    CAS  Article  Google Scholar 

  7. 7.

    Doaei S, Hajiesmaeil M, Aminifard A, Mosavi-Jarrahi SA, Akbari ME, Gholamalizadeh M. Effects of gene polymorphisms of metabolic enzymes on the association between red and processed meat consumption and the development of colon cancer; a literature review. J Nutritional Sci. 2018;7.

  8. 8.

    Doaei S, Kalantari N, Mohammadi NK, Izadi P, Gholamalizadeh M, Eini-Zinab H, Salonurmi T, Jarrahi AM, Rafieifar S, Janipoor R, Sadeghypor M. Up-regulation of FTO gene expression was associated with increase in skeletal muscle mass in overweight male adolescents. Arch Med Sci. 2019 Sep;15(5):1133.

    CAS  Article  Google Scholar 

  9. 9.

    Hakanen M, Raitakari OT, Lehtimäki T, Peltonen N, Pahkala K, Sillanmäki L, Lagstrom H, Viikari J, Simell O, Ronnemaa T. FTO genotype is associated with body mass index after the age of seven years but not with energy intake or leisure-time physical activity. J Clin Endocrinol Metab. 2009 Apr 1;94(4):1281–7.

    CAS  Article  Google Scholar 

  10. 10.

    Thorisson GA, Smith AV, Krishnan L, Stein LD. The international HapMap project web site. Genome Res. 2005 Nov 1;15(11):1592–3.

    CAS  Article  Google Scholar 

  11. 11.

    Smemo S, Tena JJ, Kim KH, Gamazon ER, Sakabe NJ, Gómez-Marín C, Aneas I, Credidio FL, Sobreira DR, Wasserman NF, Lee JH. Obesity-associated variants within FTO form long-range functional connections with IRX3. Nature. 2014 Mar;507(7492):371–5.

    CAS  Article  Google Scholar 

  12. 12.

    Antonio J, Knafo S, Kenyon M, Ali A, Carson C, Ellerbroek A, Weaver C, Roberts J, Peacock CA, Tartar JL. Assessment of the FTO gene polymorphisms (rs1421085, rs17817449 and rs9939609) in exercise-trained men and women: the effects of a 4-week hypocaloric diet. J Int Soc Sports Nutr. 2019 Dec 1;16(1):36.

    Article  Google Scholar 

  13. 13.

    Blundell JE, Lawton CL, Cotton JR, Macdiarmid JI. Control of human appetite: implications for the intake of dietary fat. Annu Rev Nutr. 1996;16:285–319.

    CAS  Article  Google Scholar 

  14. 14.

    Ludwig DS. The glycemic index: physiological mechanisms relating to obesity, diabetes, and cardiovascular disease. Jama. 2002;287(18):2414–23.

    CAS  Article  Google Scholar 

  15. 15.

    Sonestedt E, Roos C, Gullberg B, Ericson U, Wirfält E, Orho-Melander M. Fat and carbohydrate intake modify the association between genetic variation in the FTO genotype and obesity. Am J Clin Nutr. 2009 Sep 2;90(5):1418–25.

    CAS  Article  Google Scholar 

  16. 16.

    Esfahani FH, Asghari G, Mirmiran P, Azizi F. Reproducibility and relative validity of food group intake in a food frequency questionnaire developed for the Tehran lipid and glucose study. J Epidemiol. 2010;20(2):150–8.

    Article  Google Scholar 

  17. 17.

    Azar M, Sarkisian E. Food composition table of Iran: National Nutrition and food research institute. Tehran: Shahid Beheshti University Press; 1980. [Persian].

    Google Scholar 

  18. 18.

    Vasheghani-Farahani A, Tahmasbi M, Asheri H, Ashraf H, Nedjat S, Kordi R. The Persian, last 7-day, long form of the international physical activity questionnaire: translation and validation study. Asian journal of sports medicine. 2011 Jun;2(2):106.

    Article  Google Scholar 

  19. 19.

    Oyeyemi BF, Ologunde CA, Olaoye AB, Alamukii NA. FTO gene associates and interacts with obesity risk, physical activity, energy intake, and time spent sitting: pilot study in a Nigerian population. J Obes. 2017 May;21:2017.

    Google Scholar 

  20. 20.

    Villagran M, Petermann R, Mardones L, Garrido MA, Natalia MM. Association between the polymorphism rs9939609 of the FTO gene with energy intake, macronutrients and alcohol consumption in the Chilean population. Medium Chile. 2018;146:11.

    Google Scholar 

  21. 21.

    Dhurandhar NV, Schoeller D, Brown AW, Heymsfield SB, Thomas D, Sørensen TI, Speakman JR, Jeansonne M, Allison DB. Energy balance measurement: when something is not better than nothing. Int J Obes. 2015;39(7):1109–13.

    CAS  Article  Google Scholar 

  22. 22.

    Daya M, Pujianto DA, Witjaksono F, Priliani L, Susanto J, Lukito W, Malik SG. Obesity risk and preference for high dietary fat intake are determined by FTO rs9939609 gene polymorphism in selected Indonesian adults. Asia Pac J Clin Nutr. 2019 Mar;28(1):183.

    CAS  PubMed  Google Scholar 

  23. 23.

    Livingstone MB, Robson PJ, Black AE, Coward WA, Wallace JM, McKinley MC, Strain JJ, McKenna PG. An evaluation of the sensitivity and specificity of energy expenditure measured by heart rate and the Goldberg cut-off for energy intake: basal metabolic rate for identifying mis-reporting of energy intake by adults and children: a retrospective analysis. Eur J Clin Nutr. 2003 Mar;57(3):455–63.

    CAS  Article  Google Scholar 

  24. 24.

    Zheng Y, Huang T, Zhang X, Rood J, Bray GA, Sacks FM, Qi L. Dietary fat modifies the effects of FTO genotype on changes in insulin sensitivity. J Nutr. 2015 May 1;145(5):977–82.

    CAS  Article  Google Scholar 

  25. 25.

    Hardy DS, Racette SB, Hoelscher DM. Macronutrient intake as a mediator with FTO to increase body mass index. J Am Coll Nutr. 2014;33:256e66.

    Article  Google Scholar 

  26. 26.

    Qi L, Kraft P, Hunter DJ, Hu FB. The common obesity variant near MC4R gene is associated with higher intakes of total energy and dietary fat, weight change and diabetes risk in women. Hum Mol Genet. 2008 Nov 15;17(22):3502–8.

    CAS  Article  Google Scholar 

  27. 27.

    Zhong T, Duan XY, Zhang H, Li L, Zhang HP, Niu L. Angelica sinensis suppresses body weight Gaiand alters expression of the FTO gene in high-fat-diet induced obese mice. BioMed Res Int. 2017;2017:6280972.

    PubMed  PubMed Central  Google Scholar 

  28. 28.

    Drabsch T, Gatzemeier J, Pfadenhauer L, Hauner H, Holzapfel C. Associations between single nucleotide polymorphisms and total energy, carbohydrate, and fat intakes: a systematic review. Adv Nutr. 2018 Jul 1;9(4):425–53.

    Article  Google Scholar 

  29. 29.

    Dorling JL, Clayton DJ, Jones J, Carter WG, Thackray AE, King JA, Pucci A, Batterham RL, Stensel DJ. A randomized crossover trial assessing the effects of acute exercise on appetite, circulating ghrelin concentrations, and butyrylcholinesterase activity in normal-weight males with variants of the obesity-linked FTO rs9939609 polymorphism. Am J Clin Nutr. 2019 Nov 1;110(5):1055–66.

    Article  Google Scholar 

  30. 30.

    Katus U, Villa I, Ringmets I, Vaht M, Mäestu E, Mäestu J, Veidebaum T, Harro J. Association of FTO rs1421085 with obesity, diet, physical activity and socioeconomic status: a longitudinal birth cohort study. Nutr Metab Cardiovasc Dis. 2020.

  31. 31.

    Nowacka-Woszuk J, Pruszynska-Oszmalek E, Szydlowski M, Szczerbal I. Nutrition modulates Fto and Irx3 gene transcript levels, but does not alter their DNA methylation profiles in rat white adipose tissues. Gene. 2017;610:44–8.

    CAS  Article  Google Scholar 

  32. 32.

    Ronkainen J, Huusko TJ, Soininen R, Mondini E, Cinti F, Mäkelä KA, Kovalainen M, Herzig KH, Järvelin MR, Sebert S, Savolainen MJ. Fat mass-and obesity-associated gene Fto affects the dietary response in mouse white adipose tissue. Sci Rep. 2015 Mar 18;5:9233.

    CAS  Article  Google Scholar 

  33. 33.

    Poritsanos NJ, Lew PS, Fischer J, Mobbs CV, Nagy JI, Wong D, Rüther U, Mizuno TM. Impaired hypothalamic Fto expression in response to fasting and glucose in obese mice. Nutr Diab. 2011;1(10):e19.

    CAS  Article  Google Scholar 

  34. 34.

    Doaei S, Kalantari N, Izadi P, Salonurmi T, Jarrahi AM, Rafieifar S, Azizi Tabesh G, Rahimzadeh G, Gholamalizadeh M, Goodarzi MO. Interactions between macro-nutrients’ intake, FTO and IRX3 gene expression, and FTO genotype in obese and overweight male adolescents. Adipocyte. 2019 Jan 2;8(1):386–91.

    CAS  Article  Google Scholar 

  35. 35.

    Olszewski PK, Fredriksson R, Olszewska AM, Stephansson O, Alsiö J, Radomska KJ, Levine AS, Schiöth HB. Hypothalamic FTO is associated with the regulation of energy intake not feeding reward. BMC Neurosci. 2009 Dec;10(1):1–2.

    Article  Google Scholar 

  36. 36.

    Razquin C, Martinez JA, Martinez-Gonzalez MA. A 3-year intervention with a Mediterranean diet modified the association between the rs9939609 gene variant in FTO and body weight changes. Int J of Obesity. 2010;34:266–72.

    CAS  Article  Google Scholar 

  37. 37.

    McTaggart JS, Lee S, Iberl M, Church C, Cox RD, Ashcroft FM. FTO is expressed in neurones throughout the brain and its expression is unaltered by fasting. PLoS One. 2011;6(11):e27968.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  38. 38.

    Stratigopoulos G, Padilla SL, LeDuc C. A, Watson E, Hattersley AT, McCarthy MI, Zeltser LM, Chung WK, Leibel RL. Regulation of Fto/Ftm gene expression in mice and humans. Am J Physiol Integr Comp Physiol. 2008;294:R1185–96.

    CAS  Article  Google Scholar 

  39. 39.

    Wang P, Yang FJ, Du H, Guan YF, Xu TY, Xu XW, Su DF, Miao CY. Involvement of leptin receptor long isoform (LepRb)-STAT3 signaling pathway in brain fat mass-and obesity-associated (FTO) downregulation during energy restriction. Mol Med. 2011 May 1;17(5–6):523–32.

    CAS  Article  Google Scholar 

  40. 40.

    Batterham RL, Cohen MA, Ellis SM, Le Roux CW, Withers DJ, Frost GS, Ghatei MA, Bloom SR. Inhibition of food intake in obese subjects by peptide YY3–36. N Engl J Med. 2003 Sep 4;349(10):941–8.

    CAS  Article  Google Scholar 

  41. 41.

    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(9):3640–3.

    CAS  Article  PubMed  Google Scholar 

  42. 42.

    Velders FP, De Wit JE, Jansen PW, Jaddoe VW, Hofman A, Verhulst FC, Tiemeier H. FTO at rs9939609, food responsiveness, emotional control and symptoms of ADHD in preschool children. PLoS One. 2012 Nov 14;7(11):e49131.

    CAS  Article  Google Scholar 

  43. 43.

    Karra E, O’Daly OG, Choudhury AI, Yousseif A, Millership S, Neary MT, Scott WR, Chandarana K, Manning S, Hess ME, Iwakura H. A link between FTO, ghrelin, and impaired brain food-cue responsivity. J Clin Invest. 2013 Aug 1;123(8):3539–51.

    CAS  Article  Google Scholar 

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This study was conducted at the Department of Public Health Nutrition of the Shiraz University of Medical Sciences, Shiraz, Iran.


Funding for this study was provided by Shiraz University of Medical Sciences.

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MM and MHE designed the study, involved in the data collection, analysis, and drafting of the manuscript. MM, SD, and MGh, were involved in the analysis of the data, and writing the manuscript. All authors read and approved the final manuscript.

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Correspondence to Saeid Doaei.

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This study has been approved by Local ethics review boards at Shiraz University of medical sciences (ir.sums.rec.1395.100).

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The authors declare that they have no competing interests.

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Mehrdad, M., Doaei, S., Gholamalizadeh, M. et al. The association between FTO genotype with macronutrients and calorie intake in overweight adults. Lipids Health Dis 19, 197 (2020).

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  • FTO
  • Polymorphism
  • Genotype
  • Macronutrient
  • Carbohydrate
  • Protein
  • Fat
  • Fiber