Literature DB >> 23200095

Genetics 100 for cardiologists: basics of genome-wide association studies.

Joseph B Dubé1, Robert A Hegele.   

Abstract

The spring of 2012 marked the fifth anniversary of the widespread appearance in the biomedical literature of genome-wide association studies (GWAS) of diseases of adulthood. Articles reporting GWAS results now regularly appear in dozens of general medicine and cardiology journals. As of August 2012, more than 1700 published GWAS have reported findings across a range of human diseases. Many of these reported new genetic determinants of cardiovascular disease, including coronary artery disease and its risk factors such as diabetes, dyslipidemia, and hypertension. Though GWAS reports follow a standard format, superficially they can appear intimidating to most nongeneticists, whom we suspect often skip over them. Considering the importance of GWAS in cardiovascular science and medicine, and because they show no signs of fading, it is important for cardiovascular medical personnel and scientists to understand GWAS fundamentals. In this article, we provide a roadmap for the nonexpert reader to navigate through GWAS of cardiovascular disease. We cover the basic essentials needed to understand GWAS: underlying theory, mechanics, analysis and display, interpretation, and relevance. Areas covered include the relationship between GWAS and standard epidemiologic study design, the concepts of DNA sequence variation and linkage disequilibrium, the particular statistical considerations in studies involving many independent variables and large sample sizes, the meaning and interpretation of Manhattan plots, and the biologic and clinical significance of GWAS-based discoveries. We conclude with comments about the limitations of GWAS and about what to look for in the "post-GWAS era."
Copyright © 2013 Canadian Cardiovascular Society. Published by Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 23200095     DOI: 10.1016/j.cjca.2012.10.011

Source DB:  PubMed          Journal:  Can J Cardiol        ISSN: 0828-282X            Impact factor:   5.223


  11 in total

Review 1.  The Genetic Basis of Coronary Artery Disease and Atrial Fibrillation: A Search for Disease Mechanisms and Therapeutic Targets.

Authors:  Jacques Neelankavil; Christoph D Rau; Yibin Wang
Journal:  J Cardiothorac Vasc Anesth       Date:  2015-01-23       Impact factor: 2.628

2.  Gene × smoking interactions on human brain gene expression: finding common mechanisms in adolescents and adults.

Authors:  Samuel L Wolock; Andrew Yates; Stephen A Petrill; Jason W Bohland; Clancy Blair; Ning Li; Raghu Machiraju; Kun Huang; Christopher W Bartlett
Journal:  J Child Psychol Psychiatry       Date:  2013-08-02       Impact factor: 8.982

Review 3.  How Genomics Is Personalizing the Management of Dyslipidemia and Cardiovascular Disease Prevention.

Authors:  Lane B Benes; Daniel J Brandt; Eric J Brandt; Michael H Davidson
Journal:  Curr Cardiol Rep       Date:  2018-10-17       Impact factor: 2.931

Review 4.  Genetic variants at the IFNL3 locus and their association with hepatitis C virus infections reveal novel insights into host-virus interactions.

Authors:  Sreedhar Chinnaswamy
Journal:  J Interferon Cytokine Res       Date:  2014-02-20       Impact factor: 2.607

5.  Genome-wide DNA methylation patterns in coronary heart disease.

Authors:  X Wang; A-H Liu; Z-W Jia; K Pu; K-Y Chen; H Guo
Journal:  Herz       Date:  2017-09-07       Impact factor: 1.443

6.  Does a medical history of hypertension influence disclosing genetic testing results of the risk for salt-sensitive hypertension, in primary care?

Authors:  Masanobu Okayama; Taro Takeshima; Masanori Harada; Ryusuke Ae; Eiji Kajii
Journal:  Int J Gen Med       Date:  2016-07-27

7.  miR-1, miR-499 and miR-208 are sensitive markers to diagnose sudden death due to early acute myocardial infarction.

Authors:  Enrica Pinchi; Paola Frati; Mariarosaria Aromatario; Luigi Cipolloni; Matteo Fabbri; Raffaele La Russa; Aniello Maiese; Margherita Neri; Alessandro Santurro; Matteo Scopetti; Rocco Valerio Viola; Emanuela Turillazzi; Vittorio Fineschi
Journal:  J Cell Mol Med       Date:  2019-06-26       Impact factor: 5.310

8.  BigTop: a three-dimensional virtual reality tool for GWAS visualization.

Authors:  Samuel T Westreich; Maria Nattestad; Christopher Meyer
Journal:  BMC Bioinformatics       Date:  2020-01-31       Impact factor: 3.169

9.  Lipid levels in HIV-positive men receiving anti-retroviral therapy are not associated with copy number variation of reverse cholesterol transport pathway genes.

Authors:  Rebecca B Marino; Lawrence A Kingsley; Shehnaz K Hussain; Jay H Bream; Sudhir Penogonda; Priya Duggal; Jeremy J Martinson
Journal:  BMC Res Notes       Date:  2015-11-21

Review 10.  Genetics of Hypertriglyceridemia.

Authors:  Jacqueline S Dron; Robert A Hegele
Journal:  Front Endocrinol (Lausanne)       Date:  2020-07-24       Impact factor: 5.555

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