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Experimental Biology for the Identification of Causal Pathways in Atherosclerosis
More than 60 genomic loci have been implicated by genome-wide association studies (GWAS) and exome-wide association studies as conferring an increased risk of myocardial infarction and coronary artery disease (CAD). However, the causal gene and variant is often unclear. Using the functional analysis...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7088260/ https://www.ncbi.nlm.nih.gov/pubmed/26847647 http://dx.doi.org/10.1007/s10557-016-6644-7 |
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author | Guo, Yanhong Garcia-Barrio, Minerva T. Wang, Laiyuan Chen, Y. Eugene |
author_facet | Guo, Yanhong Garcia-Barrio, Minerva T. Wang, Laiyuan Chen, Y. Eugene |
author_sort | Guo, Yanhong |
collection | PubMed |
description | More than 60 genomic loci have been implicated by genome-wide association studies (GWAS) and exome-wide association studies as conferring an increased risk of myocardial infarction and coronary artery disease (CAD). However, the causal gene and variant is often unclear. Using the functional analysis of genetic variants in experimental animal models, we anticipate understanding which candidate gene at a specific locus is associated with atherosclerosis and revealing the underlying molecular and cellular mechanisms, ultimately leading to the identification of causal pathways in atherosclerosis and may provide novel therapeutic targets for the treatment of atherosclerotic cardiovascular disease. |
format | Online Article Text |
id | pubmed-7088260 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-70882602020-03-23 Experimental Biology for the Identification of Causal Pathways in Atherosclerosis Guo, Yanhong Garcia-Barrio, Minerva T. Wang, Laiyuan Chen, Y. Eugene Cardiovasc Drugs Ther Original Article More than 60 genomic loci have been implicated by genome-wide association studies (GWAS) and exome-wide association studies as conferring an increased risk of myocardial infarction and coronary artery disease (CAD). However, the causal gene and variant is often unclear. Using the functional analysis of genetic variants in experimental animal models, we anticipate understanding which candidate gene at a specific locus is associated with atherosclerosis and revealing the underlying molecular and cellular mechanisms, ultimately leading to the identification of causal pathways in atherosclerosis and may provide novel therapeutic targets for the treatment of atherosclerotic cardiovascular disease. Springer US 2016-02-05 2016 /pmc/articles/PMC7088260/ /pubmed/26847647 http://dx.doi.org/10.1007/s10557-016-6644-7 Text en © Springer Science+Business Media New York 2016 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Article Guo, Yanhong Garcia-Barrio, Minerva T. Wang, Laiyuan Chen, Y. Eugene Experimental Biology for the Identification of Causal Pathways in Atherosclerosis |
title | Experimental Biology for the Identification of Causal Pathways in Atherosclerosis |
title_full | Experimental Biology for the Identification of Causal Pathways in Atherosclerosis |
title_fullStr | Experimental Biology for the Identification of Causal Pathways in Atherosclerosis |
title_full_unstemmed | Experimental Biology for the Identification of Causal Pathways in Atherosclerosis |
title_short | Experimental Biology for the Identification of Causal Pathways in Atherosclerosis |
title_sort | experimental biology for the identification of causal pathways in atherosclerosis |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7088260/ https://www.ncbi.nlm.nih.gov/pubmed/26847647 http://dx.doi.org/10.1007/s10557-016-6644-7 |
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