1. Impact of obesity-related genes in Spanish population
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Richard S. Cooper, Fernando Martínez-García, Maria L. Mansego, Juan Carlos Martín-Escudero, Gemma Rojo-Martínez, Sonsoles Morcillo, Josep Redon, Monica Pineda Alonso, Griselda De Marco-Solar, Federico Soriguer, Felipe J. Chaves, [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, Morcillo,S, Soriguer,F, Chaves,FJ] CIBER of Diabetes and Associated Metabolic Diseases (CIBERDEM), Barcelona,Spain. [Rojo-Martínez,G, 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., This work was supported by CIBER of Diabetes and metabolic diseases (CIBERDEM) and CIBER obesity and nutrition (CIBEROB). CIBERDEM and CIBEROBN are initiatives of the 'Fondo de Investigaciones Sanitarias', INGENFRED (Ref. CIBER-02-08-2009) grant from CIBERDEM, PI070497 from the 'Fondo de Investigaciones Sanitarias', ACOMP/2009/201 and PROMETEO/2009/029 from the Valencian Government, SAF2005-02883 from Ministerio de Educacion y Ciencia, P06-CTS-01684 from Andalusian Governement, and Gema Rojo-Martinez [CP06/00133], and F. Javier Chaves [FIS01/3047] are contracted by the Health Institute Carlos III.
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Male ,Linkage disequilibrium ,Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Epidemiologic Research Design::Genome-Wide Association Study [Medical Subject Headings] ,Polimorfismo de nucleótido simple ,España ,Estudio de asociación del genoma completo ,Obesidad ,Índice de masa corporal ,FTO gene ,Linkage Disequilibrium ,Body Mass Index ,Organisms::Eukaryota::Animals::Chordata::Vertebrates::Mammals::Primates::Haplorhini::Catarrhini::Hominidae::Humans [Medical Subject Headings] ,Genetics(clinical) ,Genetics (clinical) ,Genetics ,Geographicals::Geographic Locations::Europe::Spain [Medical Subject Headings] ,education.field_of_study ,Middle Aged ,Genetic score ,Ataxins ,Female ,Research Article ,Adult ,Adolescent ,Genotype ,Cell Adhesion Molecules, Neuronal ,Population ,Alpha-Ketoglutarate-Dependent Dioxygenase FTO ,Check Tags::Male [Medical Subject Headings] ,Nerve Tissue Proteins ,Single-nucleotide polymorphism ,Biology ,GPI-Linked Proteins ,Polymorphism, Single Nucleotide ,White People ,Young Adult ,medicine ,Named Groups::Persons::Age Groups::Adult [Medical Subject Headings] ,Humans ,Obesity ,education ,Genotyping ,Alleles ,Adaptor Proteins, Signal Transducing ,Aged ,Genetic association ,Phenomena and Processes::Genetic Phenomena::Genetic Variation::Polymorphism, Genetic::Polymorphism, Single Nucleotide [Medical Subject Headings] ,Proteins ,Andalucía ,medicine.disease ,Genética ,Health Care::Environment and Public Health::Public Health::Epidemiologic Measurements::Biometry::Anthropometry::Body Mass Index [Medical Subject Headings] ,Diseases::Nutritional and Metabolic Diseases::Nutrition Disorders::Overnutrition::Obesity [Medical Subject Headings] ,Diabetes Mellitus, Type 2 ,Check Tags::Female [Medical Subject Headings] ,Spain ,Body mass index - 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 2 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.
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