Page 85 - The prevalence of the Val66Met polymorphism in musicians: Possible evidence for compensatory neuroplasticity from a pilot study
P. 85

8   |  M. R. Zandoná et al.                    22. Bernhard F, Landgraf K, Kloting N, et al. Functional rel-



               8. Bradfield JP, Taal HR, Timpson NJ, et al. A genome-
        ORIGINALRESEARCH  obesity loci. Nat Genet 2012; 44: 526–531.  association study signals for human adipocyte biology.
                                                              evance of genes implicated by obesity genome-wide
               wide association meta-analysis identifies new childhood
                                                              Diabetologia 2013; 56: 311–322.
               9. Wang K, Li WD, Zhang CK, et al. A genome-wide asso-
                                                              23. Rask-Andersen M, Jacobsson JA, Moschonis G, et al.
               ciation study on obesity and obesity-related traits. PLoS
                                                              Association of TMEM18 variants with BMI and waist cir-
               One 2011; 6: e18939.
                                                                                         correlation
                                                                         in
                                                                                    and
                                                                            children
                                                                                                   of
                                                                                                      mRNA
                                                              cumference
               10. Zhao J, Bradfield JP, Li M, et al. The role of obesity-
                                                              expression in the PFC with body weight in rats. Eur J
               associated loci identified in genome-wide association stud-
               ies in the determination of pediatric BMI. Obesity 2009; 17:
                                                              Hum Genet: EJHG 2012; 20: 192–197.
               2254–2257.
                                                              24. den Hoed M, Ekelund U, Brage S, et al. Genetic sus-
               11. Fall T, Ingelsson E. Genome-wide association studies
                                                              ceptibility to obesity and related traits in childhood and
               of obesity and metabolic syndrome. Mol Cell Endocrinol
                                                              adolescence: influence of loci identified by genome-wide
               2014; 382: 740–757.
                                                              25. Mei H, Chen W, Jiang F, et al. Longitudinal replication
               12. Xi B, Chandak GR, Shen Y, Wang Q, Zhou D. Associ-
               ation between common polymorphism near the MC4R
                                                              studies of GWAS risk SNPs influencing body mass index
               gene and obesity risk: a systematic review and meta-
                                                              over the course of childhood and adulthood. PLoS One
               analysis. PLoS One 2012; 7: e45731.            association studies. Diabetes 2010; 59: 2980–2988.
                                                              2012; 7: e31470.
               13. Vitolo MR, Rauber F, Campagnolo PD, Feldens CA,  26. Mejia-Benitez A, Klunder-Klunder M, Yengo L, et al.
               Hoffman DJ. Maternal dietary counseling in the first year  Analysis of the contribution of FTO, NPC1, ENPP1,
               of life is associated with a higher healthy eating index in  NEGR1, GNPDA2 and MC4R genes to obesity in Mexican
               childhood. J Nutr 2010; 140: 2002–2007.        children. BMC Med Genet 2013; 14: 21.
               14. Ministério da Saúde. Secretaria de Atenção à Saúde.  27. Ntalla I, Panoutsopoulou K, Vlachou P, et al. Replica-
               Departamento de Atenção Básica. Dez passos para uma  tion of established common genetic variants for adult BMI
               alimentação saudável: guia alimentar para menores de 2  and childhood obesity in Greek adolescents: the TEENAGE
               anos. Um guia para o profissional da saúde na atenção  study. Ann Hum Genet 2013; 77: 268–274.
               básica [in Portuguese] Ministério da Saúde: Brasília, Brazil,  28. Zegers D, Hendrickx R, Verrijken A, et al. Screening for
               2010.                                          genetic variants in BDNF that contribute to childhood obe-
               15. WHO Child Growth Standards: Length/Height-for-  sity. Pediatr Obes 2014; 9: 36–42.
               Age,  Weight-for-Age,  Weight-for-Length,  Weight-for-  29. Gardner KR, Sapienza C, Fisher JO. Genetic and epige-
               Height and Body Mass Index-for-Age: Methods and Devel-  netic associations to obesity-related appetite phenotypes
               opment. World Health Organization: Geneva, 2006.  among African–American children. Pediatr Obes 2015; 10:
               16. Zembrzuski VM, Callegari-Jacques SM, Hutz MH. Ap-  476–482.
               plication of an African Ancestry Index as a genomic control  30. Durso DF, Bydlowski SP, Hutz MH, Suarez-Kurtz G,
               approach in a Brazilian population. Ann Hum Genet 2006;  Magalhaes TR, Pena SD. Association of genetic variants
               70: 822–828.                                   with self-assessed color categories in Brazilians. PLoS
               17. Valmorbida JL, Vitolo MR. Factors associated with low  One 2014 n/d; 9: e83926.
               consumption of fruits and vegetables by preschoolers of low
               socio-economic level. JPediatr (Rio J) 2014; 90: 464–471.
               18. Benjamini Y, Hochberg Y. Controlling the false discov- Supporting Information
               ery rate: a practical and powerful approach to multiple
               testing. J R Statist Soc B 1995; 57: 289–300.  Additional Supporting Information may be found in the on-
               19. Wheeler E, Huang N, Bochukova EG, et al. Genome-  line version of this article at the publisher’s web-site:
               wide SNP and CNV analysis identifies common and low-
               frequency variants associated with severe early-onset obe-  Table S1. Polymorphisms frequencies and anthropometric
               sity. Nat Genet 2013; 45: 513–517.             and dietary measurements according to ethnic groups.
               20. da Silva CF, Zandona MR, Vitolo MR, et al. Association  Table S2. Association of the SEC16B rs10913469 polymor-
               between a frequent variant of the FTO gene and anthropo-  phism with dietary parameters.
               metric phenotypes in Brazilian children. BMC Med Genet  Table S3. Measures of anthropometric parameters ac-
               2013; 14: 34.                                  cording to SH2B1, HOXB5, KCTD15, OLFM4, SEC16B
               21. Zandona MR, Rodrigues RO, Albiero G, et al. Polymor-  and MC4R gene variants.
               phisms in LEPR, PPARG and APM1 genes: associations  Table S4. Measures of dietary parameters according to
               with energy intake and metabolic traits in young children.  NEGR1, SH2B1, HOXB5, KCTD15, BDNF, TMEM18,
               Arq Bras Endocr Metab 2013; 57: 603–611.       OLFM4 and MC4R gene variants.











               © 2016 World Obesity. Pediatric Obesity ••, ••–••
   80   81   82   83   84   85