Abstract

Doc number: 111

Abstract

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/m2 in Hortega and 2.0 kg/m2 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.

Details

Title
Impact of obesity-related genes in Spanish population
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
Pages
111
Publication year
2013
Publication date
2013
Publisher
Springer Nature B.V.
ISSN
1471-2156
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1467765297
Copyright
© 2013 Martínez-García et al.; licensee BioMed Central Ltd. 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.