Associations between FTO genotype and total energy and macronutrient intake in adults: A systematic review and meta-analysis

Obesity Reviews

Volumn 16, Issue 8, 2015, Pages 666-678

  Livingstone, K M ^a   Celis Morales, C ^a   Lara, J ^a   Ashor, A W ^a   Lovegrove, J A ^b   Martinez, J A ^c   Saris, W H ^d   Gibney, M ^e   Manios, Y ^f   Traczyk, I ^g   Drevon, C A ^h   Daniel, H ⁱ   Gibney, E R ^e   Brennan, L ^e   Bouwman, J ^j   Grimaldi, K A ^k   Mathers, J C ^a  

^a NEWCASTLE UNIVERSITY   (United Kingdom)

^b UNIVERSITY OF READING   (United Kingdom)

^c INSTITUTO DE SALUD CARLOS III   (Spain)

^d MAASTRICHT UNIVERSITY MEDICAL CENTER   (Netherlands)

^e UNIVERSITY COLLEGE DUBLIN   (Ireland)

^f HAROKOPIO UNIVERSITY   (Greece)

^g TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^h UNIVERSITY OF OSLO   (Norway)

ⁱ NATIONAL FOOD AND NUTRITION INSTITUTE   (Poland)

^j TNO   (Netherlands)

^k EUROGENETICA LTD   (United Kingdom)

more..

Author keywords

FTO; Macronutrient intake; Meta analysis; Total energy intake

Indexed keywords

ALCOHOL; CARBOHYDRATE; MONOUNSATURATED FATTY ACID; POLYUNSATURATED FATTY ACID; PROTEIN; SATURATED FATTY ACID; CARBOHYDRATE DIET; FAT INTAKE; FTO PROTEIN, HUMAN;

ADULT; ALLELE; ARTICLE; BODY WEIGHT; CALORIC INTAKE; CARBOHYDRATE INTAKE; COCHRANE LIBRARY; DIETARY INTAKE; EFFECT SIZE; EMBASE; FAT INTAKE; FAT MASS AND OBESITY ASSOCIATED GENE; GENE; GENETIC ASSOCIATION; GENETIC RISK; GENOTYPE; HUMAN; MACRONUTRIENT; MEDLINE; PROTEIN INTAKE; PUBLISHING; REGRESSION ANALYSIS; RISK ASSESSMENT; SCOPUS; SINGLE NUCLEOTIDE POLYMORPHISM; SYSTEMATIC REVIEW; CARBOHYDRATE DIET; GENETIC PREDISPOSITION; GENETICS; GENOME-WIDE ASSOCIATION STUDY; GENOTYPE ENVIRONMENT INTERACTION; META ANALYSIS; METABOLISM; OBESITY; OBSERVATIONAL STUDY; RISK FACTOR;

ADULT; DIETARY CARBOHYDRATES; DIETARY FATS; ENERGY INTAKE; GENE-ENVIRONMENT INTERACTION; GENETIC PREDISPOSITION TO DISEASE; GENOME-WIDE ASSOCIATION STUDY; GENOTYPE; HUMANS; OBESITY; OBSERVATIONAL STUDIES AS TOPIC; POLYMORPHISM, SINGLE NUCLEOTIDE; PROTEINS; RISK FACTORS;

EID: 84948382923     PISSN: 14677881     EISSN: 1467789X     Source Type: Journal    
DOI: 10.1111/obr.12290     Document Type: Article

References (60)

1. OECD. Health at a Glance: Europe 2012. [WWW document]. URL http://dx.doi.org/10.1787/9789264183896-en (accessed July 2014).
2. Ng M, Fleming T, Robinson M etal. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet 2014; 384: 766-781.
3. Willer CJ, Speliotes EK, Loos RJF etal. Six new loci associated with body mass index highlight a neuronal influence on body weight regulation. Nat Genet 2009; 41: 25-34.
4. Frayling TM, Timpson NJ, Weedon MN etal. A common variant in the FTO gene is associated with body mass index and predisposes to childhood and adult obesity. Science 2007; 316: 889-894.
5. Hardy R, Wills AK, Wong A etal. Life course variations in the associations between FTO and MC4R gene variants and body size. Hum Mol Genet 2010; 19: 545-552.
6. Yang J, Loos RJF, Powell JE etal. FTO genotype is associated with phenotypic variability of body mass index. Nature 2012; 490: 267-272.
7. Corella D, Arnett DK, Tucker KL etal. A high intake of saturated fatty acids strengthens the association between the fat mass and obesity-associated gene and BMI. J Nutr 2011; 141: 2219-2225.
8. Phillips CM, Kesse-Guyot E, McManus R etal. High dietary saturated fat intake accentuates obesity risk associated with the fat mass and obesity-associated gene in adults. J Nutr 2012; 142: 824-831.
9. Church C, Moir L, McMurray F etal. Overexpression of FTO leads to increased food intake and results in obesity. Nat Genet 2010; 42: 1086-1092.
10. Karra E, Daly OG, Choudhury AI etal. A link between FTO, ghrelin, and impaired brain food-cue responsivity. J Clin Invest 2013; 123: 3539-3551.
11. Tanaka T, Ngwa JS, van Rooij FJA etal. Genome-wide meta-analysis of observational studies shows common genetic variants associated with macronutrient intake. Am J Clin Nutr 2013; 97: 1395-1402.
12. Steemburgo T, Azevedo MJ, Gross JL, Milagro FI, Campión J, Martínez JA. The rs9939609 polymorphism in the FTO gene is associated with fat and fiber intakes in patients with type 2 diabetes. J Nutrigenet Nutrigenomics 2013; 6: 97-106.
13. Tanofsky-Kraff M, Han JC, Anandalingam K etal. The FTO gene rs9939609 obesity-risk allele and loss of control over eating. Am J Clin Nutr 2009; 90: 1483-1488.
14. Cecil JE, Tavendale R, Watt P, Hetherington MM, Palmer CNA. An obesity-associated FTO gene variant and increased energy intake in children. N Engl J Med 2008; 359: 2558-2566.
15. Wardle J, Llewellyn C, Sanderson S, Plomin R. The FTO gene and measured food intake in children. Int J Obes 2009; 33: 42-45.
16. 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: 1961-1965.
17. Huang T, Qi Q, Li Y etal. FTO genotype, dietary protein, and change in appetite: the Preventing Overweight Using Novel Dietary Strategies trial. Am J Clin Nutr 2014; 99: 1126-1130.
18. Qi Q, Kilpeläinen TO, Downer MK etal. FTO genetic variants, dietary intake, and body mass index: insights from 177, 330 individuals. Hum Mol Genet 2014; 23: 6961-6972.
19. Higgins JP, Green S. Cochrane Collaboration: Cochrane Handbook for Systematic Reviews of Interventions. Wiley-Blackwell: Chichester, West Sussex, 2008.
20. University of York. NHS Centre for Reviews & Dissemination: Systematic Reviews: CRD's Guidance for Undertaking Reviews in Health Care. Centre for Reviews and Dissemination. University of York: York, UK, 2009.
21. Moher D, Liberati A, Tetzlaff J, Altman DG. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Br Med J 2009; 339: b2535.
22. Akiyama K, Takeuchi F, Isono M, Chakrawarthy S, Nguyen QN. Systematic fine-mapping of association with BMI and type 2 diabetes at the FTO locus by integrating results from multiple ethnic groups. PLoS ONE 2014; 9: e101329.
23. Borenstein M, Hedges LV, Higgins JPT, Rothstein HR. A basic introduction to fixed-effect and random-effects models for meta-analysis. Res Synth Methods 2010; 1: 97-111.
24. Higgins JPT, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. BMJ 2003; 327: 557-560.
25. Ioannidis JPA, Patsopoulos NA, Evangelou E. Uncertainty in heterogeneity estimates in meta-analyses. BMJ 2007; 335: 914-916.
26. Higgins JPT, Thompson SG. Quantifying heterogeneity in a meta-analysis. Stat Med 2002; 21: 1539-1558.
27. Egger M, Smith GD, Schneider M, Minder C. Bias in meta-analysis detected by a simple, graphical test. BMJ 1997; 315: 629-634.
28. Henry CJK. Basal metabolic rate studies in humans: measurement and development of new equations. Public Health Nutr 2005; 8(7 A): 1133-1152.
29. Goldberg G, Black A, Jebb S etal. Critical evaluation of energy intake data using fundamental principles of energy physiology: 1. Derivation of cut-off limits to identify under-recording. Eur J Clin Nutr 1991; 45: 569-581.
30. Baik I, Shin C. Interactions between the FTO rs9939609 polymorphism, body mass index, and lifestyle-related factors on metabolic syndrome risk. Nutr Res Pract 2012; 6: 78-85.
31. Bauer F, Elbers CC, Adan RAH etal. Obesity genes identified in genome-wide association studies are associated with adiposity measures and potentially with nutrient-specific food preference. Am J Clin Nutr 2009; 90: 951-959.
32. Celis-Morales C, Perez-Bravo F, Ibañes L etal. Insulin resistance in Chileans of European and indigenous descent: evidence for an ethnicity x environment interaction. PLoS ONE 2011; 6: e24690.
33. Dougkas A, Yaqoob P, Givens DI, Reynolds CK, Minihane AM. The impact of obesity-related SNP on appetite and energy intake. Br J Nutr 2013; 110: 1151-1156.
34. Franks PW, Jablonski KA, Delahanty LM etal. Assessing gene-treatment interactions at the FTO and INSIG2 loci on obesity-related traits in the Diabetes Prevention Program. Diabetologia 2008; 51: 2214-2223.
35. Galbete C, Toledo J, Martínez-González MÁ, Martínez JA, Guillén-Grima F, Marti A. Lifestyle factors modify obesity risk linked to PPARG2 and FTO variants in an elderly population: a cross-sectional analysis in the SUN Project. Genes Nutr 2013; 8: 61-67.
36. Hubacek JA, Pikhart H, Peasey A, Bobak M. FTO variant, energy intake, physical activity and basal metabolic rate in Caucasians. The HAPIEE study. Physiol Res 2011; 60: 175-183.
37. Karasawa S, Daimon M, Sasaki S etal. Association of the common fat mass and obesity associated (FTO) gene polymorphism with obesity in a Japanese population. Endocr J 2010; 57: 293-301.
38. Lappalainen T, Lindström J, Paananen J etal. Association of the fat mass and obesity-associated (FTO) gene variant (rs9939609) with dietary intake in the Finnish Diabetes Prevention Study. Br J Nutr 2012; 108: 1859-1865.
39. Lear SA, Deng WQ, ParÉ G, Sulistyoningrum DC, Loos RJF, Devlin A. Associations of the FTO rs9939609 variant with discrete body fat depots and dietary intake in a multi-ethnic cohort. Genet Res 2011; 93: 419-426.
40. Lee H-J, Kim IK, Kang JH etal. Effects of common FTO gene variants associated with BMI on dietary intake and physical activity in Koreans. Clin Chim Acta 2010; 411: 1716-1722.
41. Matsuo T, Nakata Y, Murotake Y, Hotta K, Tanaka K. Effects of FTO genotype on weight loss and metabolic risk factors in response to calorie restriction among Japanese women. Obesity 2012; 20: 1122-1126.
42. McCaffery JM, Papandonatos GD, Peter I etal. Obesity susceptibility loci and dietary intake in the Look AHEAD Trial. Am J Clin Nutr 2012; 95: 1477-1486.
43. Higgins M, Province M, Heiss G etal. NHLBI Family Heart Study: objectives and design. Am J Epidemiol 1996; 143: 1219-1228.
44. Macdiarmid J, Blundell J. Assessing dietary intake: who, what and why of under-reporting. Nutr Res Rev 1998; 11: 231-253.
45. Bressler J, Fornage M, Demerath EW etal. Fat mass and obesity gene and cognitive decline: the atherosclerosis risk in communities study. Neurology 2013; 80: 92-99.
46. Sonestedt E, Roos C, Gullberg B, Ericson U, Wirfalt 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; 90: 1418-1425.
47. Johansson L, Solvoll K, Bjørneboe GE, Drevon CA. Under- and overreporting of energy intake related to weight status and lifestyle in a nationwide sample. Am J Clin Nutr 1998; 68: 266-274.
48. Black AE, Cole TJ. Biased over- or underreporting is characteristic of individuals whether over time or by different assessment methods. J Am Diet Assoc 2001; 101: 70-80.
49. Bouchard C, Tremblay A, Després J-P etal. The response to long-term overfeeding in identical twins. N Engl J Med 1990; 322: 1477-1482.
50. Chapman CD, Benedict C, Brooks SJ, Birgir Schiöth H. Lifestyle determinants of the drive to eat: a meta-analysis. Am J Clin Nutr 2012; 96: 492-497.
51. Sobczyk-Kopciol A, Broda G, Wojnar M etal. Inverse association of the obesity predisposing FTO rs9939609 genotype with alcohol consumption and risk for alcohol dependence. Addiction 2011; 106: 739-748.
52. Corella D, Ortega-Azorín C, Sorlí JV etal. Statistical and biological gene-lifestyle interactions of MC4R and FTO with diet and physical activity on obesity: new effects on alcohol consumption. PLoS ONE 2012; 7: e52344.
53. McMurray F, Church CD, Larder R etal. Adult onset global loss of the fto gene alters body composition and metabolism in the mouse. PLoS Genet 2013; 9: e1003166.
54. Grunnet LG, Nilsson E, Ling C etal. Regulation and function of FTO mRNA expression in human skeletal muscle and subcutaneous adipose tissue. Diabetes 2009; 58: 2402-2408.
55. Wåhlén K, Sjölin E, Hoffstedt J. The common rs9939609 gene variant of the fat mass- and obesity-associated gene FTO is related to fat cell lipolysis. J Lipid Res 2008; 49: 607-611.
56. Smemo S, Tena JJ, Kim KH etal. Obesity-associated variants within FTO form long-range functional connections with IRX3. Nature 2014; 507: 371-375.
57. Stratigopoulos G, Martin Carli JF, O'Day DR etal. Hypomorphism for RPGRIP1L, a ciliary gene vicinal to the fto locus, causes increased adiposity in mice. Cell Metab 2014; 19: 767-779.
58. Beckmann M, Lloyd AJ, Haldar S etal. Dietary exposure biomarker-lead discovery based on metabolomics analysis of urine samples. Proc Nutr Soc 2013; 72: 352-361.
59. Qi Q, Chu AY, Kang JH etal. Fried food consumption, genetic risk, and body mass index: gene-diet interaction analysis in three US cohort studies. BMJ 2014; 348: g1610.
60. Goris AHC, Westerterp-Plantenga MS, Westerterp KR. Undereating and underrecording of habitual food intake in obese men: selective underreporting of fat intake. Am J Clin Nutr 2000; 71: 130-134.