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Validation of genes in childhood obesity   |  5



              rs17782313, MAF was lower than in both populations. Discussion
              Genotype and allele frequencies were not different be-
              tween ethnic groups (whites and non-whites) in our  The advent of GWAS has brought several advances to
              sample (Supporting Information Table S1). No differ-  the identification of new susceptibility loci for several
              ences were also observed regarding either anthropo-  complex characteristics, such as obesity. However,
              metric or dietary measurements among ethnicities.  these studies have been focused in populations from
              Therefore, the individuals from both ethnicities were  North America and Europe, while the South American
              grouped in further analyses.                   populations remained unexplored in this context.      ORIGINALRESEARCH
                Mean weight and length were compared among     In the present study, we were able to validate the as-
              different genotypes at birth, and other anthropomet-  sociations of five of the 10 analyzed gene variants in a
              ric and dietary variables were compared at 1year  cohort of children from the south of Brazil followed from
              and 3.5 years old (Table 3 and Supporting Informa-  birth until 3.5years of age. The TMEM18, BDNF and
              tion Tables S2, S3 and S4). Significant associations  NEGR1 gene variants investigated were associated with
              of individual SNPs located at three of the nine genes  BMI-Z and subcutaneous fat in our setting, and the
              investigated with anthropometric measurements  SEC16B SNP, although not associated with these phe-
              were found, and they are summarized in Table 3.  notypes, was shown to be associated with higher daily
              For TMEM18 rs6548238, we could observe that    intake of energy provided from carbohydrates and lipids
              C/C homozygotes presented higher BMI-Z com-    at the age of 3.5years. Our results also show that the
              pared with T-allele carriers (P =0.007; Pcorr =0.049)  BDNF variants effect begins earlier, at the age of 1year,
              at the age of 3.5 years. Carriers of the minor allele  than the effect of the NEGR1 and TMEM18 gene vari-
              (A) of BDNF rs6265 presented lower BMI-Z at 1 year  ants, which seem to begin a little later, being detected
              (P =0.026; Pcorr=0.091) and sum of skin-folds at  after the age of 3.5years.
              3.5 years old (P =0.011; Pcorr=0.077) than G/G ho-  A more recent GWAS, published in 2013 by Wheeler
              mozygotes. At this same age, the minor T-allele of  et al. (19), performed analyses with a high number of
              BDNF rs10767664 was associated with a reduction  severely obese children and controls, identified nine
              in the sum of skin-folds (P =0.009; Pcorr =0.063)  genome-wide significant signals in eight loci, named:
              when compared with the A/A genotype. For the   FTO, MC4R, TMEM18, NEGR1, PRKCH, LEPR,
              NEGR1 rs2815752, the A/A homozygotes presented  PACS1 and RMST, the last four being detected in
              higher BMI-Z (P =0.042; Pcorr =0.098) and sum of  GWAS for the first time. Although their sample is not to-
              skin-folds at 3.5 years old (P =0.023; Pcorr =0.098).  tally comparable with ours, because their study focused
              The post hoc Tukey test revealed that these differ-  on children in the extreme tail of the BMI distribution
              ences were due to a higher BMI and amount of sub-  (BMI-Z more than 3 SD from the mean), we were able
              cutaneous fat in the A/A homozygotes than in the  to replicatehalfofthese findings in the present
              A/G heterozygotes. Longitudinal analyses demon-  (TMEM18 and NEGR1) and in previous studies per-
              strated that individuals bearing the A/A genotype  formed with the same sample of children (FTO (20)
              had also a lower variation in BMI from 1 year to  and LEPR (21)). Of course, we must take in consider-
              3.5 years  (P =0.030;  Pcorr =0.098).  All  results  ation that the specificgenevariantswerenot thesame,
              showed earlier remained significant when corrected  although located in or near the same genes, and that
              for multiple comparisons using an FDR= 0.10.   three of them (PRKCH, PACS1 and RMST)werenot
                Only one of the investigated genes presented as-  evaluated by us.
              sociations with parameters related to dietary pat-  From the 10 polymorphisms included in the present
              terns: SEC16B rs10913469 (Supporting Information  study, we identified significant associations for NEGR1
              Table S2). The T/T genotype was associated with  rs2815752, TMEM18 rs6548238, BDNF rs6265 and
              higher intake of total energy, carbohydrates and lipids  rs10767664 with anthropometric phenotypes (Table 3)
              compared with C-carriers at 3.5 years old (P =0.006,  and for SEC16B rs10913469 with dietary parameters
              Pcorr =0.048; P =0.016, Pcorr= 0.064; P =0.036,  (Supporting Information Table S2). A common feature
              Pcorr =0.096; respectively).                   between these genes is that they are expressed or
                We did not find any significant associations between  known to act in the central nervous system, highlighting
              SH2B1, HOXB5, KCTD15, OLFM4, SEC16B, MC4R      the importance of the neuronal component to the obe-
              and anthropometric parameters (Supporting Informa-  sity susceptibility, although they have also peripheral
              tion Table S3), neither for NEGR1, SH2B1, HOXB5,  functions related to adipose tissue (6,22).
              KCTD15, BDNF, TMEM18, OLFM4 and MC4R gene        The associations reported herein were directionally
              variants with dietary phenotypes (Supporting Informa-  consistent  with  results  from  GWAS:  TMEM18
              tion Table S4).                                rs6548238 C-allele (23,24), BDNF rs6265 G-allele (25),



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