María Eugenia Ibáñez Pérez-Zamacona, A. Poveda, Esther Rebato Ochoa
La Organización Mundial de la Salud (OMS) define la obesidad como unaacumulación excesiva de grasa que puede perjudicar la salud. Este estudioanalizó la asociación entre 21 SNPs, previamente reportados en estudios GWASo en genes candidatos, y la obesidad, en una población del País Vasco (España).Se genotiparon 21 SNPs en 409 personas de ambos sexos. Las asociaciones delos SNPs con fenotipos de obesidad se probaron mediante análisis de regresiónlogística múltiple. Los fenotipos se obtuvieron mediante la dicotomización delÍndice de Masa Corporal (IMC), la Circunferencia de la Cintura (CC) y el ÍndiceCintura---Cadera (ICC): i) obesidad general/no obesidad, ii) obesidad abdominal/noabdominal y iii) distribución de grasa central/periférica, respectivamente. Elvalor IMC≥ 40 kg/m2 se usó para definir la obesidad severa. rs925946 (BDNF) fueel único SNP asociado a todos los fenotipos (p=0,008 obesidad general, p=0,016obesidad abdominal, p=0,020 distribución de grasa y p=0,001 obesidad severa).rs10938397 (GNPDA2; p=0,032) y rs11084753 (KCTD15; p=0,036) se asociaroncon la distribución de grasa y rs10146997 (NRXN3; p=0,022 y p=0,026) con laobesidad general (IMC) y abdominal (WC). rs9939609 (FTO; p=0,007), rs6548238y rs7561317 (TMEM18; p=0,012 y p=0,008), rs2568958 y rs2815752 (NEGR1;p=0,030 y p=0,036) y rs660339 y rs659336 (UCP2; p=0,034 y p=0,044) seasociaron con la obesidad severa. Los resultados replican la asociación de 12variantes genéticas con fenotipos de obesidad en una población del País Vasco,y confirman la asociación de tres de los SNPs previamente asociados a laobesidad con la distribución de grasa.
World Health Organization (WHO) defines obesity as an excessive fat accumulationthat may impair health. This study analysed the association between 21 single nucleotide polymorphisms (SNPs), previously reported in GWAS or candidate genesstudies, and obesity, in a population from the Basque Country (Spain). 21 SNPswere genotyped and studied in 409 individuals of both sexes. Associations betweenSNPs and obesity phenotypes were tested through multiple logistic regressionanalyses using PLINK v. 1.07 software. Obesity phenotypes were obtained by thedichotomization of three variables: Body Mass Index (BMI), Waist Circumference(WC) and Waist--- Hip Ratio (WHR)) as follows: i) overall obesity/no obesity, ii)abdominal/no abdominal obesity, and iii) central/peripheral fat distribution,respectively. BMI was also used to define severe obesity (BMI ≥40 kg/m2). The SNPrs925946 (BDNF) was the only associated will all phenotypes (p=0.008 overallobesity, p=0.016 abdominal obesity, p=0.020 fat distribution and p=0.001 severeobesity). rs10938397 (GNPDA2; p=0.032) and rs11084753 (KCTD15; p=0.036) wereassociated with body fat distribution and rs10146997 (NRXN3; p=0.022 andp=0.026) with both overall (BMI) and abdominal obesity (WC). rs9939609 (FTO;p=0.007), rs6548238 and rs7561317 (TMEM18; p=0.012 and p= 0.008), rs2568958and rs2815752 (NEGR1; p=0.030 and p=0.036) and rs660339 and rs659336(UCP2; p=0.034 and p=0.044) showed significant associations with severeobesity. The results of this study replicate the association of 12 genetic variantsand obesity phenotypes in a population from the Basque Country, and confirmthe association to fat distribution of three of the SNPs previously associated withobesity.
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