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      Metabolic and genetic profiling of young adults with and without a family history of premature coronary heart disease (MAGNETIC). Study design and methodology

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          Abstract

          Introduction

          First-degree relatives of individuals with premature coronary artery disease (CAD) are at increased risk of CAD. The research hypothesis of this project assumes that there are differences in the metabolic profiles between individuals with and without a positive family history (FH) of premature CAD.

          Material and methods

          The study group will comprise healthy patients ( n = 500) aged 18–35 years with a FH of premature CAD, and the control group ( n = 500) will consist of healthy subjects without a FH of premature CAD. Blood tests assessing the lipid profile will be carried out. Patients will respond to a questionnaire regarding FH and dietary habits. Measurement of carotid intima media thickness will be performed. Analysis of single-nucleotide polymorphisms (SNPs) associated with premature CAD will be carried out for every patient. Metabolomic profiling will be performed using a high-sensitivity Bruker AVANCE II 600 MHz NMR spectroscope.

          Results

          The results of this study will include a comparison of metabolic profiles assessed by 1H-NMR spectroscopy in the study and control groups and the results of analyses of the relationship between the metabolic profiles and genetic risk score calculated based on evaluated SNPs associated with premature CAD.

          Conclusions

          This study will deepen our knowledge of the aetiopathogenesis of atherosclerosis by identifying metabolic patterns associated with a positive FH of premature CAD. Obtaining a detailed FH will enable adjustments for major risk factors of premature CAD in the proband’s first-degree relatives. This research project also provides a chance to discover new biomarkers associated with the risk of premature CAD.

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          Most cited references22

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          Genomewide association analysis of coronary artery disease.

          Modern genotyping platforms permit a systematic search for inherited components of complex diseases. We performed a joint analysis of two genomewide association studies of coronary artery disease. We first identified chromosomal loci that were strongly associated with coronary artery disease in the Wellcome Trust Case Control Consortium (WTCCC) study (which involved 1926 case subjects with coronary artery disease and 2938 controls) and looked for replication in the German MI [Myocardial Infarction] Family Study (which involved 875 case subjects with myocardial infarction and 1644 controls). Data on other single-nucleotide polymorphisms (SNPs) that were significantly associated with coronary artery disease in either study (P 80%) of a true association: chromosomes 1p13.3 (rs599839), 1q41 (rs17465637), 10q11.21 (rs501120), and 15q22.33 (rs17228212). We identified several genetic loci that, individually and in aggregate, substantially affect the risk of development of coronary artery disease. Copyright 2007 Massachusetts Medical Society.
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            New susceptibility locus for coronary artery disease on chromosome 3q22.3.

            We present a three-stage analysis of genome-wide SNP data in 1,222 German individuals with myocardial infarction and 1,298 controls, in silico replication in three additional genome-wide datasets of coronary artery disease (CAD) and subsequent replication in approximately 25,000 subjects. We identified one new CAD risk locus on 3q22.3 in MRAS (P = 7.44 x 10(-13); OR = 1.15, 95% CI = 1.11-1.19), and suggestive association with a locus on 12q24.31 near HNF1A-C12orf43 (P = 4.81 x 10(-7); OR = 1.08, 95% CI = 1.05-1.11).
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              Polymorphisms of the HNF1A gene encoding hepatocyte nuclear factor-1 alpha are associated with C-reactive protein.

              Data from the Pharmacogenomics and Risk of Cardiovascular Disease (PARC) study and the Cardiovascular Health Study (CHS) provide independent and confirmatory evidence for association between common polymorphisms of the HNF1A gene encoding hepatocyte nuclear factor-1 alpha and plasma C-reactive protein (CRP) concentration. Analyses with the use of imputation-based methods to combine genotype data from both studies and to test untyped SNPs from the HapMap database identified several SNPs within a 5 kb region of HNF1A intron 1 with the strongest evidence of association with CRP phenotype.
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                Author and article information

                Journal
                Arch Med Sci
                Arch Med Sci
                AMS
                Archives of Medical Science : AMS
                Termedia Publishing House
                1734-1922
                1896-9151
                18 February 2019
                May 2019
                : 15
                : 3
                : 590-597
                Affiliations
                [1 ]Department of Pharmacology, Medical University of Silesia, School of Medicine with the Division of Dentistry, Zabrze, Poland
                [2 ]2 nd Department of Cardiology, Silesian Centre for Heart Diseases, Zabrze, Poland
                [3 ]Institute of Occupational Medicine and Environmental Health, Sosnowiec, Poland
                [4 ]Department of Medical and Molecular Biology, School of Medicine with the Division of Dentistry in Zabrze, Medical University of Silesia in Katowice, Poland
                [5 ]Centre of Polymer and Carbon Materials, the Polish Academy of Sciences, Zabrze, Poland
                [6 ]Third Department of Cardiology, SMDZ in Zabrze, Medical University of Silesia, Katowice, Poland
                Author notes
                Corresponding author: Tadeusz Osadnik MD, 2 nd Chair and Department of Cardiology, Silesian Centre for Heart Diseases, 9 Marii Curie Skłodowskiej St, 41-800 Zabrze, Poland. Phone: +48 500 268 339. E-mail: tadeusz.osadnik@ 123456sccs.pl
                Article
                32834
                10.5114/aoms.2018.75895
                6524187
                8a8485ef-b520-424b-8e69-fd4fcff5fa96
                Copyright: © 2019 Termedia & Banach

                This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License, allowing third parties to copy and redistribute the material in any medium or format and to remix, transform, and build upon the material, provided the original work is properly cited and states its license.

                History
                : 18 December 2017
                : 22 March 2018
                Categories
                Clinical Research

                Medicine
                genetics,coronary artery disease,magnetic resonance spectroscopy,metabolomics
                Medicine
                genetics, coronary artery disease, magnetic resonance spectroscopy, metabolomics

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