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THE INFLUENCE OF THE RS7566605 IN OVERWEIGHT IN DIFFERENT POPULATIONS – A SYSTEMATIC REVIEW
Author(s) -
Caíque Almeida Costa,
Caroline Vieira Feitosa,
Geraldo Argôlo Ferraro
Publication year - 2016
Publication title -
brazilian journal of medicine and human health
Language(s) - English
Resource type - Journals
ISSN - 2317-3386
DOI - 10.17267/2317-3386bjmhh.v4i2.942
Subject(s) - overweight , obesity , demography , genotype , medicine , polymorphism (computer science) , allele frequency , genetics , gerontology , biology , gene , sociology
Introduction: Obesity and overweight are major worldwide public health problems associated with several etiological factors. The rs7566605 polymorphism in the INSIG-2 gene is reported to be associated with the development of obesity. This polymorphism occurs when there is a change in the nitrogenous base guanine (G) for cytosine (C) resulting in two possible mutant genotypes: CC and CG. The wild genotype is represented by GG. Many authors reported the association between this polymorphism with anthropometrical changes, but there is no consensus regarding this issue. Objective: to evaluate the frequency of rs7566605 polymorphism and its association with obesity markers in populations from different geographical areas. Method: systematic review using PubMed and following the PRISMA Guidelines. Results: there was a great variability in terms of sample size, areas, bias and phenotypic characteristics. Although 38 biological traits were evaluated, the mutation was associated with only three of them (BMI, Waist-Hip Ratio, HbA1c). The highest CC frequency was found among obese Malays (21%), and the lowest among overweight Quilombo people (3%). The highest CG frequency was found in non-obese Malays (51%), while the lowest was reported among overweight Quilombo people (22%). Also, Quilombo people reported the highest frequency of the GG phenotype (75%), while the lowest frequency was found in non-obese Malays (32%). Conclusion: The polymorphism was associated with only three obesity markers. There were specific patterns of genotypic frequency among populations belonging to similar geographical areas and/or ancestry. More research into the genetic factors related to obesity markers is needed.

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