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Empowering Mayo Clinic Individualized Medicine with Genomic Data Warehousing

Individualized medicine enables better diagnoses and treatment decisions for patients and promotes research in understanding the molecular underpinnings of disease. Linking individual patient’s genomic and molecular information with their clinical phenotypes is crucial to these efforts. To address t...

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Detalles Bibliográficos
Autores principales: Horton, Iain, Lin, Yaxiong, Reed, Gay, Wiepert, Mathieu, Hart, Steven
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5618153/
https://www.ncbi.nlm.nih.gov/pubmed/28829408
http://dx.doi.org/10.3390/jpm7030007
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author Horton, Iain
Lin, Yaxiong
Reed, Gay
Wiepert, Mathieu
Hart, Steven
author_facet Horton, Iain
Lin, Yaxiong
Reed, Gay
Wiepert, Mathieu
Hart, Steven
author_sort Horton, Iain
collection PubMed
description Individualized medicine enables better diagnoses and treatment decisions for patients and promotes research in understanding the molecular underpinnings of disease. Linking individual patient’s genomic and molecular information with their clinical phenotypes is crucial to these efforts. To address this need, the Center for Individualized Medicine at Mayo Clinic has implemented a genomic data warehouse and a workflow management system to bring data from institutional electronic health records and genomic sequencing data from both clinical and research bioinformatics sources into the warehouse. The system is the foundation for Mayo Clinic to build a suite of tools and interfaces to support various clinical and research use cases. The genomic data warehouse is positioned to play a key role in enhancing the research capabilities and advancing individualized patient care at Mayo Clinic.
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spelling pubmed-56181532017-09-29 Empowering Mayo Clinic Individualized Medicine with Genomic Data Warehousing Horton, Iain Lin, Yaxiong Reed, Gay Wiepert, Mathieu Hart, Steven J Pers Med Review Individualized medicine enables better diagnoses and treatment decisions for patients and promotes research in understanding the molecular underpinnings of disease. Linking individual patient’s genomic and molecular information with their clinical phenotypes is crucial to these efforts. To address this need, the Center for Individualized Medicine at Mayo Clinic has implemented a genomic data warehouse and a workflow management system to bring data from institutional electronic health records and genomic sequencing data from both clinical and research bioinformatics sources into the warehouse. The system is the foundation for Mayo Clinic to build a suite of tools and interfaces to support various clinical and research use cases. The genomic data warehouse is positioned to play a key role in enhancing the research capabilities and advancing individualized patient care at Mayo Clinic. MDPI 2017-08-22 /pmc/articles/PMC5618153/ /pubmed/28829408 http://dx.doi.org/10.3390/jpm7030007 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Horton, Iain
Lin, Yaxiong
Reed, Gay
Wiepert, Mathieu
Hart, Steven
Empowering Mayo Clinic Individualized Medicine with Genomic Data Warehousing
title Empowering Mayo Clinic Individualized Medicine with Genomic Data Warehousing
title_full Empowering Mayo Clinic Individualized Medicine with Genomic Data Warehousing
title_fullStr Empowering Mayo Clinic Individualized Medicine with Genomic Data Warehousing
title_full_unstemmed Empowering Mayo Clinic Individualized Medicine with Genomic Data Warehousing
title_short Empowering Mayo Clinic Individualized Medicine with Genomic Data Warehousing
title_sort empowering mayo clinic individualized medicine with genomic data warehousing
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5618153/
https://www.ncbi.nlm.nih.gov/pubmed/28829408
http://dx.doi.org/10.3390/jpm7030007
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