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Impact of obesity-related genes in Spanish population
BACKGROUND: The objective was to investigate the association between BMI and single nucleotide polymorphisms previously identified of obesity-related genes in two Spanish populations. Forty SNPs in 23 obesity-related genes were evaluated in a rural population characterized by a high prevalence of ob...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4222487/ https://www.ncbi.nlm.nih.gov/pubmed/24267414 http://dx.doi.org/10.1186/1471-2156-14-111 |
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author | Martínez-García, Fernando Mansego, María L Rojo-Martínez, Gemma De Marco-Solar, Griselda Morcillo, Sonsoles Soriguer, Federico Redón, Josep Pineda Alonso, Monica Martín-Escudero, Juan C Cooper, Richard S Chaves, Felipe J |
author_facet | Martínez-García, Fernando Mansego, María L Rojo-Martínez, Gemma De Marco-Solar, Griselda Morcillo, Sonsoles Soriguer, Federico Redón, Josep Pineda Alonso, Monica Martín-Escudero, Juan C Cooper, Richard S Chaves, Felipe J |
author_sort | Martínez-García, Fernando |
collection | PubMed |
description | BACKGROUND: The objective was to investigate the association between BMI and single nucleotide polymorphisms previously identified of obesity-related genes in two Spanish populations. Forty SNPs in 23 obesity-related genes were evaluated in a rural population characterized by a high prevalence of obesity (869 subjects, mean age 46 yr, 62% women, 36% obese) and in an urban population (1425 subjects, mean age 54 yr, 50% women, 19% obese). Genotyping was assessed by using SNPlex and PLINK for the association analysis. RESULTS: Polymorphisms of the FTO were significantly associated with BMI, in the rural population (beta 0.87, p-value <0.001). None of the other SNPs showed significant association after Bonferroni correction in the two populations or in the pooled analysis. A weighted genetic risk score (wGRS) was constructed using the risk alleles of the Tag-SNPs with a positive Beta parameter in both populations. From the first to the fifth quintile of the score, the BMI increased 0.45 kg/m(2) in Hortega and 2.0 kg/m(2) in Pizarra. Overall, the obesity predictive value was low (less than 1%). CONCLUSION: The risk associated with polymorphisms is low and the overall effect on BMI or obesity prediction is minimal. A weighted genetic risk score based on genes mainly acting through central nervous system mechanisms was associated with BMI but it yields minimal clinical prediction for the obesity risk in the general population. |
format | Online Article Text |
id | pubmed-4222487 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-42224872014-11-07 Impact of obesity-related genes in Spanish population Martínez-García, Fernando Mansego, María L Rojo-Martínez, Gemma De Marco-Solar, Griselda Morcillo, Sonsoles Soriguer, Federico Redón, Josep Pineda Alonso, Monica Martín-Escudero, Juan C Cooper, Richard S Chaves, Felipe J BMC Genet Research Article BACKGROUND: The objective was to investigate the association between BMI and single nucleotide polymorphisms previously identified of obesity-related genes in two Spanish populations. Forty SNPs in 23 obesity-related genes were evaluated in a rural population characterized by a high prevalence of obesity (869 subjects, mean age 46 yr, 62% women, 36% obese) and in an urban population (1425 subjects, mean age 54 yr, 50% women, 19% obese). Genotyping was assessed by using SNPlex and PLINK for the association analysis. RESULTS: Polymorphisms of the FTO were significantly associated with BMI, in the rural population (beta 0.87, p-value <0.001). None of the other SNPs showed significant association after Bonferroni correction in the two populations or in the pooled analysis. A weighted genetic risk score (wGRS) was constructed using the risk alleles of the Tag-SNPs with a positive Beta parameter in both populations. From the first to the fifth quintile of the score, the BMI increased 0.45 kg/m(2) in Hortega and 2.0 kg/m(2) in Pizarra. Overall, the obesity predictive value was low (less than 1%). CONCLUSION: The risk associated with polymorphisms is low and the overall effect on BMI or obesity prediction is minimal. A weighted genetic risk score based on genes mainly acting through central nervous system mechanisms was associated with BMI but it yields minimal clinical prediction for the obesity risk in the general population. BioMed Central 2013-11-23 /pmc/articles/PMC4222487/ /pubmed/24267414 http://dx.doi.org/10.1186/1471-2156-14-111 Text en Copyright © 2013 Martínez-García et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Martínez-García, Fernando Mansego, María L Rojo-Martínez, Gemma De Marco-Solar, Griselda Morcillo, Sonsoles Soriguer, Federico Redón, Josep Pineda Alonso, Monica Martín-Escudero, Juan C Cooper, Richard S Chaves, Felipe J Impact of obesity-related genes in Spanish population |
title | Impact of obesity-related genes in Spanish population |
title_full | Impact of obesity-related genes in Spanish population |
title_fullStr | Impact of obesity-related genes in Spanish population |
title_full_unstemmed | Impact of obesity-related genes in Spanish population |
title_short | Impact of obesity-related genes in Spanish population |
title_sort | impact of obesity-related genes in spanish population |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4222487/ https://www.ncbi.nlm.nih.gov/pubmed/24267414 http://dx.doi.org/10.1186/1471-2156-14-111 |
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