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Cardiovascular Precision Medicine in the Genomics Era
Precision medicine strives to delineate disease using multiple data sources—from genomics to digital health metrics—in order to be more precise and accurate in our diagnoses, definitions, and treatments of disease subtypes. By defining disease at a deeper level, we can treat patients based on an und...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6059349/ https://www.ncbi.nlm.nih.gov/pubmed/30062216 http://dx.doi.org/10.1016/j.jacbts.2018.01.003 |
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author | Dainis, Alexandra M. Ashley, Euan A. |
author_facet | Dainis, Alexandra M. Ashley, Euan A. |
author_sort | Dainis, Alexandra M. |
collection | PubMed |
description | Precision medicine strives to delineate disease using multiple data sources—from genomics to digital health metrics—in order to be more precise and accurate in our diagnoses, definitions, and treatments of disease subtypes. By defining disease at a deeper level, we can treat patients based on an understanding of the molecular underpinnings of their presentations, rather than grouping patients into broad categories with one-size-fits-all treatments. In this review, the authors examine how precision medicine, specifically that surrounding genetic testing and genetic therapeutics, has begun to make strides in both common and rare cardiovascular diseases in the clinic and the laboratory, and how these advances are beginning to enable us to more effectively define risk, diagnose disease, and deliver therapeutics for each individual patient. |
format | Online Article Text |
id | pubmed-6059349 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-60593492018-07-30 Cardiovascular Precision Medicine in the Genomics Era Dainis, Alexandra M. Ashley, Euan A. JACC Basic Transl Sci STATE-OF-THE-ART REVIEW Precision medicine strives to delineate disease using multiple data sources—from genomics to digital health metrics—in order to be more precise and accurate in our diagnoses, definitions, and treatments of disease subtypes. By defining disease at a deeper level, we can treat patients based on an understanding of the molecular underpinnings of their presentations, rather than grouping patients into broad categories with one-size-fits-all treatments. In this review, the authors examine how precision medicine, specifically that surrounding genetic testing and genetic therapeutics, has begun to make strides in both common and rare cardiovascular diseases in the clinic and the laboratory, and how these advances are beginning to enable us to more effectively define risk, diagnose disease, and deliver therapeutics for each individual patient. Elsevier 2018-05-30 /pmc/articles/PMC6059349/ /pubmed/30062216 http://dx.doi.org/10.1016/j.jacbts.2018.01.003 Text en © 2018 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | STATE-OF-THE-ART REVIEW Dainis, Alexandra M. Ashley, Euan A. Cardiovascular Precision Medicine in the Genomics Era |
title | Cardiovascular Precision Medicine in the Genomics Era |
title_full | Cardiovascular Precision Medicine in the Genomics Era |
title_fullStr | Cardiovascular Precision Medicine in the Genomics Era |
title_full_unstemmed | Cardiovascular Precision Medicine in the Genomics Era |
title_short | Cardiovascular Precision Medicine in the Genomics Era |
title_sort | cardiovascular precision medicine in the genomics era |
topic | STATE-OF-THE-ART REVIEW |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6059349/ https://www.ncbi.nlm.nih.gov/pubmed/30062216 http://dx.doi.org/10.1016/j.jacbts.2018.01.003 |
work_keys_str_mv | AT dainisalexandram cardiovascularprecisionmedicineinthegenomicsera AT ashleyeuana cardiovascularprecisionmedicineinthegenomicsera |