Literature DB >> 25119857

A review of the role of electronic health record in genomic research.

Parasuram Krishnamoorthy1, Deepansh Gupta, Saurav Chatterjee, Jessica Huston, John J Ryan.   

Abstract

Electronic health record (EHR)-driven genomic research is a recent strategy used to answer research questions using EHR data linked to DNA samples. In models using EHR, after the subject's DNA is collected, a linkage between the DNA sample and the EHR data is maintained. This makes the EHR the paramount source of phenotypic information. The National Human Genome Research Institute sponsored Electronic Medical Records and Genomics (eMERGE) network began in five sites in 2007 and was expanded to nine sites in 2012. This network has developed the methods and best practices for utilizing EHR as a tool for genomic research. Therefore, it is vital to understand the configuration of EHR used to capture data in clinical practice and feasibility of integration with clinical genetic test results. We present a detailed review of the role and importance of EHR in the field of genomic research.

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Year:  2014        PMID: 25119857     DOI: 10.1007/s12265-014-9586-0

Source DB:  PubMed          Journal:  J Cardiovasc Transl Res        ISSN: 1937-5387            Impact factor:   4.132


  39 in total

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Authors:  Luke Jostins; Jeffrey C Barrett
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Review 9.  The Electronic Medical Records and Genomics (eMERGE) Network: past, present, and future.

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Journal:  Genet Med       Date:  2013-07-11       Impact factor: 8.822

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Review 2.  Electronic Health Records: Then, Now, and in the Future.

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Review 5.  Secondary Use and Analysis of Big Data Collected for Patient Care.

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6.  Merging Electronic Health Record Data and Genomics for Cardiovascular Research: A Science Advisory From the American Heart Association.

Authors:  Jennifer L Hall; John J Ryan; Bruce E Bray; Candice Brown; David Lanfear; L Kristin Newby; Mary V Relling; Neil J Risch; Dan M Roden; Stanley Y Shaw; James E Tcheng; Jessica Tenenbaum; Thomas N Wang; William S Weintraub
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Review 7.  Integration of complex data sources to provide biologic insight into pulmonary vascular disease (2015 Grover Conference Series).

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9.  Exploration of haplotype research consortium imputation for genome-wide association studies in 20,032 Generation Scotland participants.

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Journal:  Genome Med       Date:  2017-03-07       Impact factor: 11.117

10.  Using whole genome scores to compare three clinical phenotyping methods in complex diseases.

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  10 in total

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