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      Translating GWAS Findings to Novel Therapeutic Targets for Coronary Artery Disease

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          Abstract

          The success of genome-wide association studies (GWAS) has significantly advanced our understanding of the etiology of coronary artery disease (CAD) and opens new opportunities to reinvigorate the stalling CAD drug development. However, there exists remarkable disconnection between the CAD GWAS findings and commercialized drugs. While this could implicate major untapped translational and therapeutic potentials in CAD GWAS, it also brings forward extensive technical challenges. In this review we summarize the motivation to leverage GWAS for drug discovery, outline the critical bottlenecks in the field, and highlight several promising strategies such as functional genomics and network-based approaches to enhance the translational value of CAD GWAS findings in driving novel therapeutics

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          Most cited references42

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          Genetics of coronary artery disease: discovery, biology and clinical translation

          The past decade has seen tremendous progress in understanding the genetic architecture of coronary artery disease (CAD). Khera and Kathiresan review research efforts that have improved our understanding of the genetic drivers of CAD, and discuss the promises and challenges of integrating genetic information into routine clinical practice.
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            The PsychENCODE project.

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              ANGPTL3 Deficiency and Protection Against Coronary Artery Disease

              BACKGROUND Familial combined hypolipidemia, a Mendelian condition characterized by substantial reductions in all 3 major lipid fractions, is caused by mutations that inactivate the gene angiopoietin-like 3 ( ANGPTL3 ). Whether ANGPTL3 deficiency reduces risk of coronary artery disease (CAD) is unknown. OBJECTIVES The study goal was to leverage 3 distinct lines of evidence – a family that included individuals with complete (compound heterozygote) ANGPTL3 deficiency, a population based-study of humans with partial (heterozygote) ANGPTL3 deficiency, and biomarker levels in myocardial infarction (MI) patients – to test if ANGPTL3 deficiency is associated with lower risk for CAD. METHODS We assessed coronary atherosclerotic burden in 3 individuals with complete ANGPTL3 deficiency and 3 wild-type first-degree relatives using computed tomography angiography. In the population, ANGPTL3 loss-of-function (LOF) mutations were ascertained in up to 21,980 individuals with CAD and 158,200 controls. LOF mutations were defined as nonsense, frameshift, and splice-site variants, along with missense variants resulting in <25% of wild-type ANGPTL3 activity in a mouse model. In a biomarker study, circulating ANGPTL3 concentration was measured in 1,493 individuals presenting with MI and 3,232 controls. RESULTS The 3 individuals with complete ANGPTL3 deficiency showed no evidence of coronary atherosclerotic plaque. ANGPTL3 gene sequencing demonstrated that approximately 1 in 309 individuals was a heterozygous carrier for an LOF mutation. Compared to those without mutation, heterozygous carriers of ANGPTL3 LOF mutations demonstrated a 17% reduction in circulating triglycerides and a 12% reduction in low-density lipoprotein cholesterol. Carrier status was associated with a 34% reduction in odds of CAD (odds ratio: 0.66; 95% confidence interval: 0.44 to 0.98; p = 0.04). Individuals in the lowest tertile of circulating ANGPTL3 concentrations, compared with the highest, had reduced odds of MI (adjusted odds ratio: 0.65; 95% confidence interval: 0.55 to 0.77; p < 0.001). CONCLUSIONS ANGPTL3 deficiency is associated with protection from CAD.
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                Author and article information

                Contributors
                Journal
                Front Cardiovasc Med
                Front Cardiovasc Med
                Front. Cardiovasc. Med.
                Frontiers in Cardiovascular Medicine
                Frontiers Media S.A.
                2297-055X
                30 May 2018
                2018
                : 5
                : 56
                Affiliations
                [1] 1Department of Integrative Biology and Physiology, University of California, Los Angeles , Los Angeles, CA, United States
                [2] 2Molecular, Cellular, and Integrative Physiology Interdepartmental Program, University of California, Los Angeles , Los Angeles, CA, United States
                [3] 3Bioinformatics Interdepartmental Program, University of California, Los Angeles , Los Angeles, CA, United States
                [4] 4Institute for Quantitative and Computational Biosciences, University of California, Los Angeles , Los Angeles, CA, United States
                [5] 5Molecular Biology Institute, University of California, Los Angeles , Los Angeles, CA, United States
                Author notes

                Edited by: Jeanette Erdmann, Universität zu Lübeck, Germany

                Reviewed by: Sander W. van der Laan, University Medical Center Utrecht, Netherlands; Baiba Vilne, Technische Universität München, Germany

                *Xia Yang, Ph.D. xyang123@ 123456ucla.edu

                Specialty section: This article was submitted to Cardiovascular Genetics and Systems Medicine, a section of the journal Frontiers in Cardiovascular Medicine

                Article
                374924
                10.3389/fcvm.2018.00056
                5989327
                29900175
                10f1c03b-e6eb-43e9-b5bd-42234e58146b
                Copyright © 2018 Shu, Blencowe and Yang

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 20 March 2018
                : 11 May 2018
                Page count
                Figures: 2, Tables: 0, Equations: 0, References: 92, Pages: 9, Words: 6144
                Funding
                Funded by: Fondation Leducq 10.13039/501100001674
                Funded by: Burroughs Wellcome Fund 10.13039/100000861
                Funded by: National Institute of Diabetes and Digestive and Kidney Diseases 10.13039/100000062
                Award ID: DK104363
                Funded by: National Institute of Neurological Disorders and Stroke 10.13039/100000065
                Award ID: NS103088
                Categories
                Cardiovascular Medicine
                Mini Review

                genome-wide association study,coronary artery disease,drug targets,multi-omics,functional genomics,networks

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