Genetic variation at the CYP2C19 gene associated with metabolic syndrome susceptibility in a South Portuguese population: results from the pilot study of the European Health Examination Survey in Portugal
| Autor: | Marta Barreto da Silva, Francisco Mendonça, Aida Fernandes, Álvaro Beleza, Mafalda Bourbon, Filomena Horta Correia, Ana Paula Gil, Astrid M. Vicente, Baltazar Nunes, Vânia Gaio, Carlos Matias Dias |
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| Jazyk: | angličtina |
| Předmět: |
medicine.medical_specialty
Endocrinology Diabetes and Metabolism Context (language use) Single-nucleotide polymorphism Continuous MetS Score 030204 cardiovascular system & hematology Bioinformatics Doenças Cardio e Cérebro-vasculares CYP2C19 gene 03 medical and health sciences 0302 clinical medicine Internal medicine Genetic variation medicine Internal Medicine Additive genetic effects Allele Genetic Association Study 030304 developmental biology Genetic association Genetic association study Metabolic Syndrome 0303 health sciences business.industry Research Confounding medicine.disease Metabolic syndrome 3. Good health Continuous MetS score Determinantes da Saúde e da Doença business |
| Zdroj: | Diabetology & Metabolic Syndrome |
| ISSN: | 1758-5996 |
| DOI: | 10.1186/1758-5996-6-23 |
| Popis: | BACKGROUND: Metabolic syndrome (MetS) is a cluster of conditions that occur together, increasing the risk of heart disease, stroke and diabetes. Since pathways implicated in different diseases reveal surprising insights into shared genetic bases underlying apparently unrelated traits, we hypothesize that there are common genetic components involved in the clustering of MetS traits. With the aim of identifying these common genetic components, we have performed a genetic association study by integrating MetS traits in a continuous MetS score. METHODS: A cross-sectional study developed in the context of the Portuguese Component of the European Health Examination Survey (EHES) was used. Data was collected through a detailed questionnaire and physical examination. Blood samples were collected and biochemical analyses were performed. Waist circumference, blood pressure, glucose, triglycerides and high density lipoprotein cholesterol (HDL) levels were used to compute a continuous MetS score, obtained by Principal Component Analysis. A total of 37 single nucleotide polymorphisms (SNPs) were genotyped and individually tested for association with the score, adjusting for confounding variables. RESULTS: A total of 206 individuals were studied. Calculated MetS score increased progressively with increasing number of risk factors (P |
| Databáze: | OpenAIRE |
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