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Next-Generation Sequencing: From Understanding Biology to Personalized Medicine
Within just a few years, the new methods for high-throughput next-generation sequencing have generated completely novel insights into the heritability and pathophysiology of human disease. In this review, we wish to highlight the benefits of the current state-of-the-art sequencing technologies for g...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4009863/ https://www.ncbi.nlm.nih.gov/pubmed/24832667 http://dx.doi.org/10.3390/biology2010378 |
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author | Frese, Karen S. Katus, Hugo A. Meder, Benjamin |
author_facet | Frese, Karen S. Katus, Hugo A. Meder, Benjamin |
author_sort | Frese, Karen S. |
collection | PubMed |
description | Within just a few years, the new methods for high-throughput next-generation sequencing have generated completely novel insights into the heritability and pathophysiology of human disease. In this review, we wish to highlight the benefits of the current state-of-the-art sequencing technologies for genetic and epigenetic research. We illustrate how these technologies help to constantly improve our understanding of genetic mechanisms in biological systems and summarize the progress made so far. This can be exemplified by the case of heritable heart muscle diseases, so-called cardiomyopathies. Here, next-generation sequencing is able to identify novel disease genes, and first clinical applications demonstrate the successful translation of this technology into personalized patient care. |
format | Online Article Text |
id | pubmed-4009863 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-40098632014-05-07 Next-Generation Sequencing: From Understanding Biology to Personalized Medicine Frese, Karen S. Katus, Hugo A. Meder, Benjamin Biology (Basel) Review Within just a few years, the new methods for high-throughput next-generation sequencing have generated completely novel insights into the heritability and pathophysiology of human disease. In this review, we wish to highlight the benefits of the current state-of-the-art sequencing technologies for genetic and epigenetic research. We illustrate how these technologies help to constantly improve our understanding of genetic mechanisms in biological systems and summarize the progress made so far. This can be exemplified by the case of heritable heart muscle diseases, so-called cardiomyopathies. Here, next-generation sequencing is able to identify novel disease genes, and first clinical applications demonstrate the successful translation of this technology into personalized patient care. MDPI 2013-03-01 /pmc/articles/PMC4009863/ /pubmed/24832667 http://dx.doi.org/10.3390/biology2010378 Text en © 2013 by the authors; licensee MDPI, Basel, Switzerland. http://creativecommons.org/licenses/by/3.0/ This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Review Frese, Karen S. Katus, Hugo A. Meder, Benjamin Next-Generation Sequencing: From Understanding Biology to Personalized Medicine |
title | Next-Generation Sequencing: From Understanding Biology to Personalized Medicine |
title_full | Next-Generation Sequencing: From Understanding Biology to Personalized Medicine |
title_fullStr | Next-Generation Sequencing: From Understanding Biology to Personalized Medicine |
title_full_unstemmed | Next-Generation Sequencing: From Understanding Biology to Personalized Medicine |
title_short | Next-Generation Sequencing: From Understanding Biology to Personalized Medicine |
title_sort | next-generation sequencing: from understanding biology to personalized medicine |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4009863/ https://www.ncbi.nlm.nih.gov/pubmed/24832667 http://dx.doi.org/10.3390/biology2010378 |
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