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Relationship between Lipid Phenotypes, Overweight, Lipid Lowering Drug Response and KIF6 and HMG-CoA Genotypes in a Subset of the Brisighella Heart Study Population

The existence of genetic traits might explain the susceptibility to develop hypercholesterolemia and the inter-individual differences in statin response. This study was performed to evaluate whether individuals’ polymorphisms in HMG-CoA and KIF6 genes are independently associated with hypercholester...

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Autores principales: Angelini, Sabrina, Rosticci, Martina, Massimo, Gianmichele, Musti, Muriel, Ravegnini, Gloria, Consolini, Nicola, Sammarini, Giulia, D’Addato, Sergio, Rizzoli, Elisabetta, Botbayev, Dauren, Borghi, Claudio, Cantelli-Forti, Giorgio, Cicero, Arrigo F., Hrelia, Patrizia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5795999/
https://www.ncbi.nlm.nih.gov/pubmed/29295555
http://dx.doi.org/10.3390/ijms19010049
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author Angelini, Sabrina
Rosticci, Martina
Massimo, Gianmichele
Musti, Muriel
Ravegnini, Gloria
Consolini, Nicola
Sammarini, Giulia
D’Addato, Sergio
Rizzoli, Elisabetta
Botbayev, Dauren
Borghi, Claudio
Cantelli-Forti, Giorgio
Cicero, Arrigo F.
Hrelia, Patrizia
author_facet Angelini, Sabrina
Rosticci, Martina
Massimo, Gianmichele
Musti, Muriel
Ravegnini, Gloria
Consolini, Nicola
Sammarini, Giulia
D’Addato, Sergio
Rizzoli, Elisabetta
Botbayev, Dauren
Borghi, Claudio
Cantelli-Forti, Giorgio
Cicero, Arrigo F.
Hrelia, Patrizia
author_sort Angelini, Sabrina
collection PubMed
description The existence of genetic traits might explain the susceptibility to develop hypercholesterolemia and the inter-individual differences in statin response. This study was performed to evaluate whether individuals’ polymorphisms in HMG-CoA and KIF6 genes are independently associated with hypercholesterolemia, other lipid-associated traits, and statin response in unselected individuals enrolled in the Brisighella heart study (Survey 2012). A total of 1622 individuals, of which 183 under statin medication, were genotyped for a total of five polymorphisms (KIF6 rs20455, rs9471077, rs9462535; HMG-CoA rs3761740, rs3846662). The relationships between the five loci and clinical characteristics were analyzed. The principal basic parameters calculated on 12 h fasting blood included total cholesterol (TC), High Density Lipoprotein Cholesterol (HDL-C), Low-Density Lipoprotein Cholesterol (LDL-C), and triglycerides (TG). Hypercholesterolemia was defined as a TC >200 mg/dL or use of lipid-lowering medication. 965 individuals were characterized by hypercholesterolemia; these subjects were significantly older (p < 0.001), with body mass index (BMI) and waist circumference significantly higher (p < 0.001) compared to the others. HMG-CoA rs3846662 GG genotype was significantly over-represented in the hypercholesterolemic group (p = 0.030). HMG-CoA rs3846662 genotype was associated with the level of TC and LDL-C. Furthermore, in the same subset of untreated subjects, we observed a significant correlation between the KIF6 rs20455 and HDL-C. KIF6 variants were associated with a significantly lower (rs20455) or higher (rs9471077 and rs9462535) risk of obesity, in males only. No association between responsiveness to statins and the polymorphisms under investigation were observed. Our results showed associations between HMG-CoA rs3846662 and KIF6 rs20455 and lipid phenotypes, which may have an influence on dyslipidemia-related events. Moreover, this represents the first study implicating KIF6 variants with obesity in men, and point to the possible involvement of this genetic locus in the known gender-related differences in coronary artery disease.
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spelling pubmed-57959992018-02-09 Relationship between Lipid Phenotypes, Overweight, Lipid Lowering Drug Response and KIF6 and HMG-CoA Genotypes in a Subset of the Brisighella Heart Study Population Angelini, Sabrina Rosticci, Martina Massimo, Gianmichele Musti, Muriel Ravegnini, Gloria Consolini, Nicola Sammarini, Giulia D’Addato, Sergio Rizzoli, Elisabetta Botbayev, Dauren Borghi, Claudio Cantelli-Forti, Giorgio Cicero, Arrigo F. Hrelia, Patrizia Int J Mol Sci Article The existence of genetic traits might explain the susceptibility to develop hypercholesterolemia and the inter-individual differences in statin response. This study was performed to evaluate whether individuals’ polymorphisms in HMG-CoA and KIF6 genes are independently associated with hypercholesterolemia, other lipid-associated traits, and statin response in unselected individuals enrolled in the Brisighella heart study (Survey 2012). A total of 1622 individuals, of which 183 under statin medication, were genotyped for a total of five polymorphisms (KIF6 rs20455, rs9471077, rs9462535; HMG-CoA rs3761740, rs3846662). The relationships between the five loci and clinical characteristics were analyzed. The principal basic parameters calculated on 12 h fasting blood included total cholesterol (TC), High Density Lipoprotein Cholesterol (HDL-C), Low-Density Lipoprotein Cholesterol (LDL-C), and triglycerides (TG). Hypercholesterolemia was defined as a TC >200 mg/dL or use of lipid-lowering medication. 965 individuals were characterized by hypercholesterolemia; these subjects were significantly older (p < 0.001), with body mass index (BMI) and waist circumference significantly higher (p < 0.001) compared to the others. HMG-CoA rs3846662 GG genotype was significantly over-represented in the hypercholesterolemic group (p = 0.030). HMG-CoA rs3846662 genotype was associated with the level of TC and LDL-C. Furthermore, in the same subset of untreated subjects, we observed a significant correlation between the KIF6 rs20455 and HDL-C. KIF6 variants were associated with a significantly lower (rs20455) or higher (rs9471077 and rs9462535) risk of obesity, in males only. No association between responsiveness to statins and the polymorphisms under investigation were observed. Our results showed associations between HMG-CoA rs3846662 and KIF6 rs20455 and lipid phenotypes, which may have an influence on dyslipidemia-related events. Moreover, this represents the first study implicating KIF6 variants with obesity in men, and point to the possible involvement of this genetic locus in the known gender-related differences in coronary artery disease. MDPI 2017-12-24 /pmc/articles/PMC5795999/ /pubmed/29295555 http://dx.doi.org/10.3390/ijms19010049 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Angelini, Sabrina
Rosticci, Martina
Massimo, Gianmichele
Musti, Muriel
Ravegnini, Gloria
Consolini, Nicola
Sammarini, Giulia
D’Addato, Sergio
Rizzoli, Elisabetta
Botbayev, Dauren
Borghi, Claudio
Cantelli-Forti, Giorgio
Cicero, Arrigo F.
Hrelia, Patrizia
Relationship between Lipid Phenotypes, Overweight, Lipid Lowering Drug Response and KIF6 and HMG-CoA Genotypes in a Subset of the Brisighella Heart Study Population
title Relationship between Lipid Phenotypes, Overweight, Lipid Lowering Drug Response and KIF6 and HMG-CoA Genotypes in a Subset of the Brisighella Heart Study Population
title_full Relationship between Lipid Phenotypes, Overweight, Lipid Lowering Drug Response and KIF6 and HMG-CoA Genotypes in a Subset of the Brisighella Heart Study Population
title_fullStr Relationship between Lipid Phenotypes, Overweight, Lipid Lowering Drug Response and KIF6 and HMG-CoA Genotypes in a Subset of the Brisighella Heart Study Population
title_full_unstemmed Relationship between Lipid Phenotypes, Overweight, Lipid Lowering Drug Response and KIF6 and HMG-CoA Genotypes in a Subset of the Brisighella Heart Study Population
title_short Relationship between Lipid Phenotypes, Overweight, Lipid Lowering Drug Response and KIF6 and HMG-CoA Genotypes in a Subset of the Brisighella Heart Study Population
title_sort relationship between lipid phenotypes, overweight, lipid lowering drug response and kif6 and hmg-coa genotypes in a subset of the brisighella heart study population
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5795999/
https://www.ncbi.nlm.nih.gov/pubmed/29295555
http://dx.doi.org/10.3390/ijms19010049
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