title: Association of the UCP polymorphisms with susceptibility to obesity: case-control study and meta-analysis.
abstract: This paper describes a case-control study and a meta-analysis performed to evaluate if the following polymorphisms are associated with presence of obesity: -3826A/G (UCP1); -866G/A, Ala55Val and Ins/Del (UCP2) and -55C/T (UCP3). The case-control study enrolled 282 obese and 483 non-obese patients with type 2 diabetes. A literature search was made to identify all studies that evaluated associations between UCP1-3 polymorphisms and obesity. In the case-control study the distributions of the UCP variants did not differ between obese and non-obese groups (P > 0.05). Forty-seven studies were eligible for the meta-analysis and the results showed that the UCP2 -866G/A and UCP3 -55C/T polymorphisms were associated with protection to obesity in Europeans (OR = 0.89, 95% CI 0.82-0.97 and OR = 0.88, 95% CI 0.80-0.97, respectively). The UCP2 Ala55 val polymorphism was associated with obesity in Asians (OR = 1.61, 95% CI 1.13-2.30). The UCP2 Ins/Del polymorphism was associated with obesity mainly in Europeans (OR = 1.19, 95% CI 1.00-1.42). There was no significant association of the UCP1 -3826A/G polymorphism with obesity. In our case-control study we were not able to demonstrate any association between UCP polymorphisms and obesity in T2DM patients; however, in the meta-analysis we detected a significant association of UCP2 -866G/A, Ins/Del, Ala55Val and UCP3 -55C/T polymorphisms with obesity.
authors.affiliation: Endocrinology Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil.
authors.forename: Leticia de Almeida
authors.initials: LA
authors.lastname: Brondani
authors.forename: Letícia
authors.initials: L
authors.lastname: de Almeida Brondani
authors.forename: Bianca Marmontel
authors.initials: BM
authors.lastname: de Souza
authors.forename: Taís Silveira
authors.initials: TS
authors.lastname: Assmann
authors.forename: Ana Paula
authors.initials: AP
authors.lastname: Bouças
authors.forename: Andrea Carla
authors.initials: AC
authors.lastname: Bauer
authors.forename: Luís Henrique
authors.initials: LH
authors.lastname: Canani
authors.forename: Daisy
authors.initials: D
authors.lastname: Crispim
mesh_terms: D000368:Aged; D044466:Asian People / Q000235:genetics; D015992:Body Mass Index; D016022:Case-Control Studies; D003924:Diabetes Mellitus, Type 2 / Q000235:genetics; D005260:Female; D020022:Genetic Predisposition to Disease; D060005:Genotyping Techniques; D006801:Humans; D007473:Ion Channels / Q000235:genetics*; D008297:Male; D008875:Middle Aged; D024101:Mitochondrial Proteins / Q000235:genetics*; D009765:Obesity / Q000235:genetics*; D020641:Polymorphism, Single Nucleotide; D000071256:Uncoupling Protein 1; D000071246:Uncoupling Protein 2; D000071247:Uncoupling Protein 3; D044465:White People / Q000235:genetics
chemical_list: D007473:Ion Channels; D024101:Mitochondrial Proteins; C000604371:UCP1 protein, human; C000604389:UCP2 protein, human; C000604392:UCP3 protein, human; D000071256:Uncoupling Protein 1; D000071246:Uncoupling Protein 2; D000071247:Uncoupling Protein 3
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