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From the Data on Many, Precision Medicine for “One”: The Case for Widespread Genomic Data Sharing
Within the decade, genome sequencing promises to become a routine part of healthcare around the globe. Many millions of genomes linked to health records will soon be available for researchers and clinicians to make use of to advance precision medicine. To realise the full impact of genomic medicine,...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
S. Karger AG
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6945905/ https://www.ncbi.nlm.nih.gov/pubmed/31988941 http://dx.doi.org/10.1159/000481682 |
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author | Scollen, Serena Page, Angela Wilson, Julia |
author_facet | Scollen, Serena Page, Angela Wilson, Julia |
author_sort | Scollen, Serena |
collection | PubMed |
description | Within the decade, genome sequencing promises to become a routine part of healthcare around the globe. Many millions of genomes linked to health records will soon be available for researchers and clinicians to make use of to advance precision medicine. To realise the full impact of genomic medicine, genomic and clinical data must be interoperable across traditional geographic, jurisdictional, sectoral, and domain boundaries. Extremely large and diverse data sets are needed to provide a context for interpretation of genetic sequences. No single country or institution can achieve the necessary scale and diversity alone. Data must be shared within an internationally federated, learning health system. |
format | Online Article Text |
id | pubmed-6945905 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | S. Karger AG |
record_format | MEDLINE/PubMed |
spelling | pubmed-69459052020-01-27 From the Data on Many, Precision Medicine for “One”: The Case for Widespread Genomic Data Sharing Scollen, Serena Page, Angela Wilson, Julia Biomed Hub Article Within the decade, genome sequencing promises to become a routine part of healthcare around the globe. Many millions of genomes linked to health records will soon be available for researchers and clinicians to make use of to advance precision medicine. To realise the full impact of genomic medicine, genomic and clinical data must be interoperable across traditional geographic, jurisdictional, sectoral, and domain boundaries. Extremely large and diverse data sets are needed to provide a context for interpretation of genetic sequences. No single country or institution can achieve the necessary scale and diversity alone. Data must be shared within an internationally federated, learning health system. S. Karger AG 2017-11-21 /pmc/articles/PMC6945905/ /pubmed/31988941 http://dx.doi.org/10.1159/000481682 Text en Copyright © 2017 by S. Karger AG, Basel http://creativecommons.org/licenses/by-nc/4.0/ This article is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND) (http://www.karger.com/Services/OpenAccessLicense). Usage and distribution for commercial purposes requires written permission. |
spellingShingle | Article Scollen, Serena Page, Angela Wilson, Julia From the Data on Many, Precision Medicine for “One”: The Case for Widespread Genomic Data Sharing |
title | From the Data on Many, Precision Medicine for “One”: The Case for Widespread Genomic Data Sharing |
title_full | From the Data on Many, Precision Medicine for “One”: The Case for Widespread Genomic Data Sharing |
title_fullStr | From the Data on Many, Precision Medicine for “One”: The Case for Widespread Genomic Data Sharing |
title_full_unstemmed | From the Data on Many, Precision Medicine for “One”: The Case for Widespread Genomic Data Sharing |
title_short | From the Data on Many, Precision Medicine for “One”: The Case for Widespread Genomic Data Sharing |
title_sort | from the data on many, precision medicine for “one”: the case for widespread genomic data sharing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6945905/ https://www.ncbi.nlm.nih.gov/pubmed/31988941 http://dx.doi.org/10.1159/000481682 |
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