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Examining for an association between candidate gene polymorphisms in the metabolic syndrome components on excess weight and adiposity measures in youth: a cross-sectional study

BACKGROUND: A polymorphism in a gene may exert its effects on multiple phenotypes. The aim of this study is to explore the association of 10 metabolic syndrome candidate genes with excess weight and adiposity and evaluate the effect of perinatal and socioeconomic factors on these associations. METHO...

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Autores principales: Muñoz, Angélica María, Velásquez, Claudia María, Agudelo, Gloria María, Uscátegui, Rosa Magdalena, Estrada, Alejandro, Patiño, Fredy Alonso, Parra, Beatriz Elena, Parra, María Victoria, Bedoya, Gabriel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5496328/
https://www.ncbi.nlm.nih.gov/pubmed/28690685
http://dx.doi.org/10.1186/s12263-017-0567-1
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author Muñoz, Angélica María
Velásquez, Claudia María
Agudelo, Gloria María
Uscátegui, Rosa Magdalena
Estrada, Alejandro
Patiño, Fredy Alonso
Parra, Beatriz Elena
Parra, María Victoria
Bedoya, Gabriel
author_facet Muñoz, Angélica María
Velásquez, Claudia María
Agudelo, Gloria María
Uscátegui, Rosa Magdalena
Estrada, Alejandro
Patiño, Fredy Alonso
Parra, Beatriz Elena
Parra, María Victoria
Bedoya, Gabriel
author_sort Muñoz, Angélica María
collection PubMed
description BACKGROUND: A polymorphism in a gene may exert its effects on multiple phenotypes. The aim of this study is to explore the association of 10 metabolic syndrome candidate genes with excess weight and adiposity and evaluate the effect of perinatal and socioeconomic factors on these associations. METHODS: The anthropometry, socioeconomic and perinatal conditions and 10 polymorphisms were evaluated in 1081 young people between 10 and 18 years old. Genotypic associations were calculated using logistic and linear models adjusted by age, gender, and pubertal maturation, and a genetic risk score (GRS) was calculated by summing the number of effect alleles. RESULTS: We found that AGT-rs699 and the IRS2-rs1805097 variants were significantly associated with excess weight, OR = 1.25 (CI 95% 1.01–1.54; p = 0.034); OR = 0.77 (CI 95% 0.62–0.96; p = 0.022), respectively. AGT-rs699 and FTO-rs17817449 variants were significantly and directly associated with body mass index (BMI) (p = 0.036 and p = 0.031), while IRS2-rs1805097 and UCP3-rs1800849 were significantly and negatively associated with BMI and waist circumference, correspondingly. Each additional effect allele in GRS was associated with an increase of 0.020 log(BMI) (p = 0.004). No effects from the socioeconomic and perinatal factors evaluated on the association of the candidate genes with the phenotypes were detected. CONCLUSIONS: Our observation suggests that AGT-rs699 and FTO-rs17817449 variants may contribute to the risk development of excess weight and an increase in the BMI, while IRS2-rs1805097 showed a protector effect; in addition, UCP3- rs1800849 showed a decreasing waist circumference. Socioeconomic and perinatal factors had no effect on the associations of the candidate gene. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12263-017-0567-1) contains supplementary material, which is available to authorized users.
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spelling pubmed-54963282017-07-07 Examining for an association between candidate gene polymorphisms in the metabolic syndrome components on excess weight and adiposity measures in youth: a cross-sectional study Muñoz, Angélica María Velásquez, Claudia María Agudelo, Gloria María Uscátegui, Rosa Magdalena Estrada, Alejandro Patiño, Fredy Alonso Parra, Beatriz Elena Parra, María Victoria Bedoya, Gabriel Genes Nutr Research BACKGROUND: A polymorphism in a gene may exert its effects on multiple phenotypes. The aim of this study is to explore the association of 10 metabolic syndrome candidate genes with excess weight and adiposity and evaluate the effect of perinatal and socioeconomic factors on these associations. METHODS: The anthropometry, socioeconomic and perinatal conditions and 10 polymorphisms were evaluated in 1081 young people between 10 and 18 years old. Genotypic associations were calculated using logistic and linear models adjusted by age, gender, and pubertal maturation, and a genetic risk score (GRS) was calculated by summing the number of effect alleles. RESULTS: We found that AGT-rs699 and the IRS2-rs1805097 variants were significantly associated with excess weight, OR = 1.25 (CI 95% 1.01–1.54; p = 0.034); OR = 0.77 (CI 95% 0.62–0.96; p = 0.022), respectively. AGT-rs699 and FTO-rs17817449 variants were significantly and directly associated with body mass index (BMI) (p = 0.036 and p = 0.031), while IRS2-rs1805097 and UCP3-rs1800849 were significantly and negatively associated with BMI and waist circumference, correspondingly. Each additional effect allele in GRS was associated with an increase of 0.020 log(BMI) (p = 0.004). No effects from the socioeconomic and perinatal factors evaluated on the association of the candidate genes with the phenotypes were detected. CONCLUSIONS: Our observation suggests that AGT-rs699 and FTO-rs17817449 variants may contribute to the risk development of excess weight and an increase in the BMI, while IRS2-rs1805097 showed a protector effect; in addition, UCP3- rs1800849 showed a decreasing waist circumference. Socioeconomic and perinatal factors had no effect on the associations of the candidate gene. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12263-017-0567-1) contains supplementary material, which is available to authorized users. BioMed Central 2017-07-04 /pmc/articles/PMC5496328/ /pubmed/28690685 http://dx.doi.org/10.1186/s12263-017-0567-1 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Muñoz, Angélica María
Velásquez, Claudia María
Agudelo, Gloria María
Uscátegui, Rosa Magdalena
Estrada, Alejandro
Patiño, Fredy Alonso
Parra, Beatriz Elena
Parra, María Victoria
Bedoya, Gabriel
Examining for an association between candidate gene polymorphisms in the metabolic syndrome components on excess weight and adiposity measures in youth: a cross-sectional study
title Examining for an association between candidate gene polymorphisms in the metabolic syndrome components on excess weight and adiposity measures in youth: a cross-sectional study
title_full Examining for an association between candidate gene polymorphisms in the metabolic syndrome components on excess weight and adiposity measures in youth: a cross-sectional study
title_fullStr Examining for an association between candidate gene polymorphisms in the metabolic syndrome components on excess weight and adiposity measures in youth: a cross-sectional study
title_full_unstemmed Examining for an association between candidate gene polymorphisms in the metabolic syndrome components on excess weight and adiposity measures in youth: a cross-sectional study
title_short Examining for an association between candidate gene polymorphisms in the metabolic syndrome components on excess weight and adiposity measures in youth: a cross-sectional study
title_sort examining for an association between candidate gene polymorphisms in the metabolic syndrome components on excess weight and adiposity measures in youth: a cross-sectional study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5496328/
https://www.ncbi.nlm.nih.gov/pubmed/28690685
http://dx.doi.org/10.1186/s12263-017-0567-1
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