Please use this identifier to cite or link to this item: http://hdl.handle.net/10668/1502
Título : Impact of obesity-related genes in Spanish population
Autor : 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.
Filiación: [Martínez-García,F; Redón,J] Hypertension Clinic, Hospital Clínico Universitario and INCLIVA, University of Valencia, Valencia, Spain. [Martínez-García,F; Redón,J] CIBER 03/06 Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, Minister of Health, Santiago de Compostela, Spain. [Mansego,ML; Marco-Solar,GD; Chaves,FJ] Genotyping and Genetic Diagnosis Unit, Hospital Clínico Research Foundation and INCLIVA, Valencia, Spain. [Mansego,ML; Rojo-Martínez,G; Marco-Solar,GD; Morcillo,S; Soriguer,F; Chaves,FJ] CIBER of Diabetes and Associated Metabolic Diseases (CIBERDEM), Barcelona,Spain. [Rojo-Martínez,G; Morcillo,S; Soriguer,F] Endocrinology and nutrition service, Carlos Haya Universitary Hospital, Málaga, Spain. [Pineda Alonso,M; Martín-Escudero,JC] Internal Medicine, Rio Hortega Hospital, University of Valladolid, Valladolid, Spain. [Cooper,RS] Department of Preventive Medicine and Epidemiology, Loyola University Medical School, Maywood, IL, USA. [Redón,J] Internal Medicine, Hospital Clínico, Valencia, Spain.
Palabras clave : Obesity
Genetics
FTO gene
Genetic score
España
Obesidad
Genética
Índice de masa corporal
Estudio de asociación del genoma completo
Polimorfismo de nucleótido simple
Andalucía
MeSH: Medical Subject Headings::Geographicals::Geographic Locations::Europe::Spain
Medical Subject Headings::Organisms::Eukaryota::Animals::Chordata::Vertebrates::Mammals::Primates::Haplorhini::Catarrhini::Hominidae::Humans
Medical Subject Headings::Named Groups::Persons::Age Groups::Adult
Medical Subject Headings::Check Tags::Male
Medical Subject Headings::Check Tags::Female
Medical Subject Headings::Diseases::Nutritional and Metabolic Diseases::Nutrition Disorders::Overnutrition::Obesity
Medical Subject Headings::Health Care::Environment and Public Health::Public Health::Epidemiologic Measurements::Biometry::Anthropometry::Body Mass Index
Medical Subject Headings::Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Epidemiologic Research Design::Genome-Wide Association Study
Medical Subject Headings::Phenomena and Processes::Genetic Phenomena::Genetic Variation::Polymorphism, Genetic::Polymorphism, Single Nucleotide
Fecha de publicación : 23-Nov-2013
Editorial : BioMed Central
Cita Bibliográfica: Martínez-García F, Mansego ML, Rojo-Martínez G, De Marco-Solar G, Morcillo S, Soriguer F, et al. Impact of obesity-related genes in Spanish population. BMC Genet. 2013; 14:111
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.
Descripción : Journal Article; Research Support, Non-U.S. Gov't;
URI: http://hdl.handle.net/10668/1502
Versión del editor : http://www.biomedcentral.com/1471-2156/14/111/abstract
DOI: 10.1186/1471-2156-14-111
ISSN : 1471-2156 (Online)
Appears in Collections:01- Artículos - Hospital Regional de Málaga

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