Genetic risk for obesity predicts nucleus accumbens size and responsivity to real-world food cues

Proceedings of the National Academy of Sciences of the United States of America

Volumn 114, Issue 1, 2017, Pages 160-165

  Rapuano, Kristina M ^a   Zieselman, Amanda L ^a   Kelley, William M ^a   Sargent, James D ^b   Heatherton, Todd F ^a,b   Gilbert Diamond, Diane ^b  

^a DARTMOUTH COLLEGE   (United States)

^b DARTMOUTH MEDICAL SCHOOL   (United States)

Author keywords

FMRI|brain morphometry; Genetic risk; Reward|obesity

Indexed keywords

ASSOCIATION; BODY MASS; BRAIN SIZE; CHILD; CHILDHOOD OBESITY; COMMERCIAL PHENOMENA; CONFERENCE PAPER; CONTROLLED STUDY; ENVIRONMENTAL EXPOSURE; FEMALE; FOOD; GENETIC POLYMORPHISM; GENETIC PREDISPOSITION; GENETIC RISK; GENETIC SUSCEPTIBILITY; HUMAN; MAJOR CLINICAL STUDY; MALE; NUCLEUS ACCUMBENS; PRIORITY JOURNAL; RANDOMIZED CONTROLLED TRIAL; EATING; GENETICS; OBESITY; PHYSIOLOGY; REWARD; SINGLE NUCLEOTIDE POLYMORPHISM;

ALPHA KETOGLUTARATE DEPENDENT DIOXYGENASE FTO; FTO PROTEIN, HUMAN;

ALPHA-KETOGLUTARATE-DEPENDENT DIOXYGENASE FTO; CHILD; CUES; EATING; FEMALE; FOOD; GENETIC PREDISPOSITION TO DISEASE; HUMANS; MALE; NUCLEUS ACCUMBENS; OBESITY; POLYMORPHISM, SINGLE NUCLEOTIDE; REWARD;

EID: 85007575483     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.1605548113     Document Type: Article

References (44)

1. Frayling TM, et al. (2007) A common variant in the FTO gene is associated with body mass index and predisposes to childhood and adult obesity. Science 316(5826):889-894.
2. McClure AC, et al. (2013) Receptivity to television fast-food restaurant marketing and obesity among U.S. youth. Am J Prev Med 45(5):560-568.
3. Demos KE, Heatherton TF, Kelley WM (2012) Individual differences in nucleus accumbens activity to food and sexual images predict weight gain and sexual behavior. J Neurosci 32(16):5549-5552.
4. Lopez RB, Hofmann W, Wagner DD, Kelley WM, Heatherton TF (2014) Neural predictors of giving in to temptation in daily life. Psychol Sci 25(7):1337-1344.
5. Coveleskie K, et al. (2015) Altered functional connectivity within the central reward network in overweight and obese women. Nutr Diabetes 5:e148.
6. Horstmann A, et al. (2011) Obesity-related differences between women and men in brain structure and goal-directed behavior. Front Hum Neurosci 5:58.
7. Somerville LH, Casey BJ (2010) Developmental neurobiology of cognitive control and motivational systems. Curr Opin Neurobiol 20(2):236-241.
8. Giedd JN, Rapoport JL (2010) Structural MRI of pediatric brain development: What have we learned and where are we going? Neuron 67(5):728-734.
9. Cecil JE, Tavendale R, Watt P, Hetherington MM, Palmer CN (2008) An obesity-associated FTO gene variant and increased energy intake in children. NEnglJMed359(24):2558-2566.
10. Speakman JR, Rance KA, Johnstone AM (2008) Polymorphisms of the FTO gene are associated with variation in energy intake, but not energy expenditure. Obesity (Silver Spring) 16(8):1961-1965.
11. Haupt A, et al. (2009) Variation in the FTO gene influences food intake but not energy expenditure. Exp Clin Endocrinol Diabetes 117(4):194-197.
12. Hess ME, et al. (2013) The fat mass and obesity associated gene (Fto) regulates activity of the dopaminergic midbrain circuitry. Nat Neurosci 16(8):1042-1048.
13. Sevgi M, et al. (2015) An obesity-predisposing variant of the FTO gene regulates D2R-dependent reward learning. J Neurosci 35(36):12584-12592.
14. Wiemerslage L, et al. (2016) An obesity-associated risk allele within the FTO gene affects human brain activity for areas important for emotion, impulse control and reward in response to food images. Eur J Neurosci 43(9):1173-1180.
15. Kühn AB, et al. (2016) FTO gene variant modulates the neural correlates of visual food perception. Neuroimage 128:21-31.
16. Karra E, et al. (2013) A link between FTO, ghrelin, and impaired brain food-cue responsivity. J Clin Invest 123(8):3539-3551.
17. Rapuano KM, Huckins JF, Sargent JD, Heatherton TF, Kelley WM (2016) Individual differences in reward and somatosensory-motor brain regions correlate with adiposity in adolescents. Cereb Cortex 26(6):2602-2611.
18. Nyholt DR (2004) A simple correction for multiple testing for single-nucleotide polymorphisms in linkage disequilibrium with each other. Am J Hum Genet 74(4):765-769.
19. Li J, Ji L (2005) Adjusting multiple testing in multilocus analyses using the eigenvalues of a correlation matrix. Heredity (Edinb) 95(3):221-227.
20. Fischl B, et al. (2002) Whole brain segmentation: Automated labeling of neuroanatomical structures in the human brain. Neuron 33(3):341-355.
21. Button KS, et al. (2013) Power failure: Why small sample size undermines the reliability of neuroscience. Nat Rev Neurosci 14(5):365-376.
22. Kelley WM, Wagner DD, Heatherton TF (2015) In search of a human self-regulation system. Annu Rev Neurosci 38:389-411.
23. Yarkoni T, Poldrack RA, Nichols TE, Van Essen DC, Wager TD (2011) Large-scale automated synthesis of human functional neuroimaging data. Nat Methods 8(8):665-670.
24. de Groot C, et al. (2015) Association of the fat mass and obesity-associated gene risk allele, rs9939609A, and reward-related brain structures. Obesity 23(10):2118-2122.
25. Hinney A, et al. (2007) Genome wide association (GWA) study for early onset extreme obesity supports the role of fat mass and obesity associated gene (FTO) variants. PLoS One 2(12):e1361-e1365.
26. Hotta K, et al. (2008) Variations in the FTO gene are associated with severe obesity in the Japanese. J Hum Genet 53(6):546-553.
27. Chang YC, et al. (2008) Common variation in the fat mass and obesity-associated (FTO) gene confers risk of obesity and modulates BMI in the Chinese population. Diabetes 57(8):2245-2252.
28. Wood AR, et al.; GIANT consortium (2016) Variants in the FTO and CDKAL1 loci have recessive effects on risk of obesity and type 2 diabetes, respectively. Diabetologia 59(6):1214-1221.
29. Lawrence NS, Hinton EC, Parkinson JA, Lawrence AD (2012) Nucleus accumbens response to food cues predicts subsequent snack consumption in women and increased body mass index in those with reduced self-control. Neuroimage 63(1):415-422.
30. Pearson N, Biddle SJ, Gorely T (2009) Family correlates of fruit and vegetable consumption in children and adolescents: A systematic review. Public Health Nutr 12(2):267-283.
31. Gearhardt AN, Yokum S, Stice E, Harris JL, Brownell KD (2014) Relation of obesity to neural activation in response to food commercials. Soc Cogn Affect Neurosci 9(7):932-938.
32. Batterink L, Yokum S, Stice E (2010) Body mass correlates inversely with inhibitory control in response to food among adolescent girls: An fMRI study. Neuroimage 52(4):1696-1703.
33. Claussnitzer M, et al. (2015) FTO obesity variant circuitry and adipocyte browning in humans. N Engl J Med 373(10):895-907.
34. Hassanein MT, et al. (2010) Fine mapping of the association with obesity at the FTO locus in African-derived populations. Hum Mol Genet 19(14):2907-2916.
35. Vasan SK, et al. (2014) FTO genetic variants and risk of obesity and type 2 diabetes: A meta-analysis of 28,394 Indians. Obesity 22(3):964-970.
36. Thomas DC, Witte JS (2002) Point: Population stratification: A problem for case-control studies of candidate-gene associations? Cancer Epidemiol Biomarkers Prev 11(6):505-512.
37. Peirce JW (2007) PsychoPy-Psychophysics software in Python. J Neurosci Methods 162(1-2):8-13.
38. Valk SL, Di Martino A, Milham MP, Bernhardt BC (2015) Multicenter mapping of structural network alterations in autism. Hum Brain Mapp 36(6):2364-2373.
39. Aanes S, Bjuland KJ, Skranes J, Løhaugen GC (2015) Memory function and hippocampal volumes in preterm born very-low-birth-weight (VLBW) young adults. Neuroimage 105:76-83.
40. Kriegeskorte N, Simmons WK, Bellgowan PSF, Baker CI (2009) Circular analysis in systems neuroscience: The dangers of double dipping. Nat Neurosci 12(5):535-540.
41. Bickart KC, Wright CI, Dautoff RJ, Dickerson BC, Barrett LF (2011) Amygdala volume and social network size in humans. Nat Neurosci 14(2):163-164.
42. ô Sidák ZK (1967) Rectangular confidence regions for the means of multivariate normal distributions. J Am Stat Assoc 62:626-633.
43. Dunn OJ (1961) Multiple comparisons among means. J Am Stat Assoc 56:52-64.
44. Cheverud JM (2001) A simple correction for multiple comparisons in interval mapping genome scans. Heredity (Edinb) 87(pt 1):52-58.