The protective effect of the obesity-associated rs9939609 A variant in fat mass- and obesity-associated gene on depression

Molecular Psychiatry

Volumn 18, Issue 12, 2013, Pages 1281-1286

  Samaan, Z ^a,b   Anand, S ^a,b   Zhang, X ^b   Desai, D ^b   Rivera, M ^c,d   Pare, G ^a,b   Thabane, L ^a,b   Xie, C ^b   Gerstein, H ^a,b   Engert, J C ^e   Craig, I ^c   Cohen Woods, S ^c   Mohan, V ^f   Diaz, R ^g   Wang, X ^h   Liu, L ^h   Corre, T ^i,j   Preisig, M ^k   Kutalik, Z ^i,j   Bergmann, S ^i,j   Vollenweider, P ^k   Waeber, G ^a   Yusuf, S ^a,b   Meyre, D ^a,b   more..

^a MCMASTER UNIVERSITY   (Canada)

^b MCMASTER UNIVERSITY   (Canada)

^c KING'S COLLEGE LONDON   (United Kingdom)

^d UNIVERSITY OF GRANADA   (Spain)

^e MCGILL UNIVERSITY   (Canada)

^f MADRAS DIABETES RESEARCH FOUNDATION   (India)

^g ECLAAcademic Research Organization   (Argentina)

^h Beijing Hypertension League Institute   (China)

ⁱ UNIVERSITY OF LAUSANNE   (Switzerland)

^j SWISS INSTITUTE OF BIOINFORMATICS   (Switzerland)

^k LAUSANNE UNIVERSITY HOSPITAL   (Switzerland)

more..

Author keywords

depression; FTO; rs9939609

Indexed keywords

ADULT; AGE DISTRIBUTION; ARTICLE; BODY MASS; CASE CONTROL STUDY; CONTROLLED STUDY; DEPRESSION; DSM-IV; ETHNICITY; FAT MASS; FEMALE; FTO GENE; GENE; GENETIC HETEROGENEITY; GENETIC MODEL; GENETIC RISK; GENETIC VARIABILITY; HUMAN; INTRON; MAJOR CLINICAL STUDY; MAJOR DEPRESSION; MALE; OBESITY; POPULATION STRUCTURE; PRIORITY JOURNAL; SEX DIFFERENCE;

DEPRESSION; DEPRESSIVE DISORDER, MAJOR; FEMALE; GENETIC PREDISPOSITION TO DISEASE; GENOTYPE; HUMANS; MALE; MIDDLE AGED; OBESITY; PHENOTYPE; POLYMORPHISM, SINGLE NUCLEOTIDE; PROTEINS;

EID: 84888286267     PISSN: 13594184     EISSN: 14765578     Source Type: Journal    
DOI: 10.1038/mp.2012.160     Document Type: Article

References (54)

1. James WP. The epidemiology of obesity: The size of the problem. J Intern Med 2008; 263: 336-352.
2. Gelenberg AJ. The prevalence and impact of depression. J Clin Psychiatry 2010; 71: E06.
3. Sullivan P, Neale M, K K. Genetic epidemiology of major depression: Review and meta analysis. Am J Psychiatry 2000; 157: 1552-1562.
4. Lohoff FW. Overview of the genetics of major depressive disorder. Curr Psychiatry Rep 2010; 12: 539-546.
5. Shyn SI, Hamilton SP. The genetics of major depression: Moving beyond the monoamine hypothesis. Psychiatr Clin North Am 2010; 33: 125-140.
6. Boomsma DI, Willemsen G, Sullivan PF, Heutink P, Meijer P, Sondervan D et al. Genome-wide association of major depression: Description of samples for the GAIN Major Depressive Disorder Study: NTR and NESDA biobank projects. Eur J Hum Genet 2008; 16: 335-342.
7. Sullivan PF, de Geus EJ, Willemsen G, James MR, Smit JH, Zandbelt T et al. Genome-wide association for major depressive disorder: A possible role for the presynaptic protein piccolo. Mol Psychiatry 2009; 14: 359-375.
8. Muglia P, Tozzi F, Galwey NW, Francks C, Upmanyu R, Kong XQ et al. Genomewide association study of recurrent major depressive disorder in two European case-control cohorts. Mol Psychiatry 2010; 15: 589-601.
9. Shi J, Potash JB, Knowles JA, Weissman MM, Coryell W, Scheftner WA et al. Genome-wide association study of recurrent early-onset major depressive disorder. Mol Psychiatry 2011; 16: 193-201.
10. Lewis CM, Ng MY, Butler AW, Cohen-Woods S, Uher R, Pirlo K et al. Genome-wide association study of major recurrent depression in the U.K. population. Am J Psychiatry 2010; 167: 949-957.
11. Rietschel M, Mattheisen M, Frank J, Treutlein J, Degenhardt F, Breuer R et al. Genome-wide association-, replication-, and neuroimaging study implicates HOMER1 in the etiology of major depression. Biol Psychiatry 2010; 68: 578-585.
12. Terracciano A, Tanaka T, Sutin AR, Sanna S, Deiana B, Lai S et al. Genome-wide association scan of trait depression. Biol Psychiatry 2010; 68: 811-817.
13. Wray NR, Pergadia ML, Blackwood DH, Penninx BW, Gordon SD, Nyholt DR et al. Genome-wide association study of major depressive disorder: New results, metaanalysis, and lessons learned. Mol Psychiatry 2012; 17: 36-48.
14. Kohli MA, Lucae S, Saemann PG, Schmidt MV, Demirkan A, Hek K et al. The neuronal transporter gene SLC6A15 confers risk to major depression. Neuron 2011; 70: 252-265.
15. Consortium MDDWGotPG. A mega-Analysis of genome-wide association studies for major depressive disorder. Mol Psychiatry 2012.
16. Cirulli ET, Goldstein DB. Uncovering the roles of rare variants in common disease through whole-genome sequencing. Nat Rev Genet 2010; 11: 415-425.
17. Frayling TM, Timpson NJ, Weedon MN, Zeggini E, Freathy RM, Lindgren CM et al. 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.
18. Dina C, Meyre D, Gallina S, Durand E, Korner A, Jacobson P et al. Variation in FTO contributes to childhood obesity and severe adult obesity. Nat Genet 2007; 39: 724-726.
19. 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 obesityrelated traits. PLoS Genet 2007; 3: E115.
20. Hinney A, Nguyen TT, Scherag A, Friedel S, Bronner G, Muller TD et al. Genome wide association (GWA) study for early onset extreme obesity supports the role of fat mass and obesity associated gene (FTO) variants. PLoS One 2007; 2: E1361.
21. Chang YC, Liu PH, Lee WJ, Chang TJ, Jiang YD, Li HY et al. Common variation in the fat mass and obesity-Associated (FTO) gene confers risk of obesity and modulates BMI in the Chinese population. Diabetes 2008; 57: 2245-2252.
22. Yajnik CS, Janipalli CS, Bhaskar S, Kulkarni SR, Freathy RM, Prakash S et al. FTO gene variants are strongly associated with type 2 diabetes in South Asian Indians. Diabetologia 2009; 52: 247-252.
23. Rong R, Hanson RL, Ortiz D, Wiedrich C, Kobes S, Knowler WC et al. Association analysis of variation in/near FTO, CDKAL1, SLC30A8, HHEX, EXT2, IGF2BP2, LOC387761, and CDKN2B with type 2 diabetes and related quantitative traits in Pima Indians. Diabetes 2009; 58: 478-488.
24. Villalobos-Comparan M, Teresa Flores-Dorantes M, Teresa Villarreal-Molina M, Rodriguez-Cruz M, Garcia-Ulloa AC, Robles L et al. The FTO gene is associated with adulthood obesity in the Mexican population. Obesity (Silver Spring) 2008; 16: 2296-2301.
25. Wing MR, Ziegler J, Langefeld CD, Ng MC, Haffner SM, Norris JM et al. Analysis of FTO gene variants with measures of obesity and glucose homeostasis in the IRAS Family Study. Hum Genet 2009; 125: 615-626.
26. Rivera M, Cohen-Woods S, Kapur K, Breen G, Ng MY, Butler AW et al. Depressive disorder moderates the effect of the FTO gene on body mass index. Mol Psychiatry 2011; 17: 604-611.
27. Faith MS, Matz PE, Jorge MA. Obesity-depression associations in the population. J Psychosom Res 2002; 53: 935-942.
28. Ho AJ, Stein JL, Hua X, Lee S, Hibar DP, Leow AD et al. A commonly carried allele of the obesity-related FTO gene is associated with reduced brain volume in the healthy elderly. Proc Natl Acad Sci USA 2010; 107: 8404-8409.
29. Benedict C, Jacobsson JA, Ronnemaa E, Sallman-Almen M, Brooks S, Schultes B et al. The fat mass and obesity gene is linked to reduced verbal fluency in overweight and obese elderly men. Neurobiol Aging 2011; 32: 1159 e1-5.
30. Boissel S, Reish O, Proulx K, Kawagoe-Takaki H, Sedgwick B, Yeo GS et al. Loss-offunction mutation in the dioxygenase-encoding FTO gene causes severe growth retardation and multiple malformations. Am J Hum Genet 2009; 85: 106-111.
31. Dream I. Rationale, design and recruitment characteristics of a large, simple international trial of diabetes prevention: The DREAM trial. Diabetologia 2004; 47: 1519-1527.
32. Anand SS, Dagenais GR, Mohan V, Diaz R, Probstfield J, Freeman R et al. Glucose levels are associated with cardiovascular disease and death in an international cohort of normal glycaemic and dysglycaemic men and women: The EpiDREAM cohort study. Eur J Cardiovasc Prev Rehabil 2011; 19: 755-764.
33. APA. Diagnostic and Statistical Manual of Mental Disorders. Fourth Edition, Text Revision DSM-IV-TR (American Psychiatric Association: Washington DC, 2000.
34. Keating BJ, Tischfield S, Murray SS, Bhangale T, Price TS, Glessner JT et al. Concept, design and implementation of a cardiovascular gene-centric 50k snp array for large-scale genomic association studies. PLoS ONE 2008; 3: E3583.
35. Yusuf S, Hawken S, Ounpuu S, Dans T, Avezum A, Lanas F et al. Effect of potentially modifiable risk factors associated with myocardial infarction in 52 countries (the INTERHEART study): Case-control study. Lancet 2004; 364: 937-952.
36. ParéG, Serre D, Brisson D, Anand SS, Montpetit A, Tremblay G et al. Genetic analysis of 103 candidate genes for coronary artery disease and associated phenotypes in a founder population reveals a new association between endothelin-1 and high-density lipoprotein cholesterol. Am J Hum Genet 2007; 80: 673-682.
37. Anand S, Xie C, Pare G, Montpetit A, Rangarajan S, McQueen M et al. Genetic variants associated with myocardial infarction risk factors in over 8,000 individuals from five ethnic groups: The INTERHEART Genetics Study. Circ Cardiovasc Genet 2009; 2: 16-25.
38. Samaan Z, Farmer A, Craddock N, Jones L, Korszun A, Owen M et al. A case- control study of migraine in recurrent depression. Br J Psychiatry 2009; 194: 350-354.
39. Nash MW, Huezo-Diaz P, Williamson RJ, Sterne A, Purcell S, Hoda F et al. Genomewide linkage analysis of a composite index of neuroticism and mood-related scales in extreme selected sibships. Hum Mol Genet 2004; 13: 2173-2182.
40. Wing JK, Babor T, Burgha T, Cooper JE, Giel R, Jablenski A et al. SCAN. Schedule for the clinical assessment of neuropsychiatry. Arch Gen Psychiatry 1990; 47: 589-593.
41. McGuffin P, Katz R, Aldrich J. Past and present state examination: The assessment of lifetime ever psychopathology. Psychol Med 1986; 16: 461-465.
42. Gaysina D, Cohen S, Craddock N, Farmer A, Hoda F, Korszun A et al. No association with the 5,10-methylenetetrahydrofolate reductase gene and major depressive disorder: Results of the depression case control (DeCC) study and a meta-Analysis. Am J Med Genet B Neuropsychiatr Genet 2008; 147B: 699-706.
43. Firmann M, Mayor V, Vidal P, Bochud M, Pecoud A, Hayoz D et al. The CoLaus study: A population-based study to investigate the epidemiology and genetic determinants of cardiovascular risk factors and metabolic syndrome. BMC Cardiovasc Disord 2008; 8: 6.
44. Nurnberger Jr. JI, Blehar MC, Kaufmann CA, York-Cooler C, Simpson SG, Harkavy-Friedman J et al. Diagnostic interview for genetic studies: Rationale, unique features, and training. Arch Gen Psychiatry 1994; 51: 849-859.
45. Gauderman WJ, Morrison JM. QUANTO 1.1: A computer program for power and sample size calculations for genetic-epidemiology studies http://hydra.usc.edu/ gxe 2006.
46. SAS Institute. I. SAS 9. Cary, North Carolina, USA. 47 Hair JFJ, Anderson RE, Tatham RL, Black WC. Multivariate Data Analysis. III edn. (Macmillan: New York, 1995.
47. Lumley T. http://cran.r-project.org/web/packages/rmeta/index.html 2009.
48. Zollner S, JK P. Overcoming the winners curse: Estimating penetrance parameters from case-control data. Am J Hum Genet 2007; 80: 605-615.
49. Wray NR, Pergadia ML, Blackwood DH, Penninx BW, Gordon SD, Nyholt DR et al. Genome-wide association study of major depressive disorder: New results, metaanalysis, and lessons learned. Mol Psychiatry 17: 36-48.
50. Lawlor DA, Fraser A, Macdonald-Wallis C, Nelson SM, Palmer TM, Davey Smith G et al. Maternal and offspring adiposity-related genetic variants and gestational weight gain. Am J Clin Nutr 2011; 94: 149-155.
51. Tanofsky-Kraff M, Han JC, Anandalingam K, Shomaker LB, Columbo KM, Wolkoff LE et al. The FTO gene rs9939609 obesity-risk allele and loss of control over eating. Am J Clin Nutr 2009; 90: 1483-1488.
52. Southam L, Soranzo N, Montgomery SB, Frayling TM, McCarthy MI, Barroso I et al. Is the thrifty genotype hypothesis supported by evidence based on confirmed type 2 diabetes- And obesity-susceptibility variants? Diabetologia 2009; 52: 1846-1851.
53. Klimentidis YC, Abrams M, Wang J, Fernandez JR, Allison DB. Natural selection at genomic regions associated with obesity and type-2 diabetes: East Asians and sub-Saharan Africans exhibit high levels of differentiation at type-2 diabetes regions. Hum Genet 2011; 129: 407-418.
54. Miettinen OS. Proportion of disease caused or prevented by a given exposure, trait or intervention. Am J Epidemiol 1974; 99: 325-332.