ReviewJournal of cardiovascular translational research2014
A review of the role of electronic health record in genomic research.
Review in Journal of cardiovascular translational research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed.
- Biomedical Data Commons (BMDC) prioritizes B-lymphocyte non-coding genetic variants in Type 1 Diabetes.PLoS computational biology · 2021Article
- Discrimination between Obstructive Coronary Artery Disease and Cardiac Syndrome X in Women with Typical Angina and Positive Exercise Test; Utility of Cardiovascular Risk Calculators.Medicina (Kaunas, Lithuania) · 2019Article
- Using whole genome scores to compare three clinical phenotyping methods in complex diseases.Scientific reports · 2018Article
- Applying family analyses to electronic health records to facilitate genetic research.Bioinformatics (Oxford, England) · 2018Article
- Secondary Use and Analysis of Big Data Collected for Patient Care.Yearbook of medical informatics · 2017Review
- Exploration of haplotype research consortium imputation for genome-wide association studies in 20,032 Generation Scotland participants.Genome medicine · 2017Article
- The emerging role of epigenetics in pulmonary arterial hypertension: an important avenue for clinical trials (2015 Grover Conference Series).Pulmonary circulation · 2016Review
- Integration of complex data sources to provide biologic insight into pulmonary vascular disease (2015 Grover Conference Series).Pulmonary circulation · 2016Review
- Improvement in Cardiovascular Risk Prediction with Electronic Health Records.Journal of cardiovascular translational research · 2016Article
- Electronic Health Records: Then, Now, and in the Future.Yearbook of medical informatics · 2016Review
- Merging Electronic Health Record Data and Genomics for Cardiovascular Research: A Science Advisory From the American Heart Association.Circulation. Cardiovascular genetics · 2016Article
- Linking Genes to Cardiovascular Diseases: Gene Action and Gene-Environment Interactions.Journal of cardiovascular translational research · 2015Review
- Review and Updates in Regenerative and Personalized Medicine, Preclinical Animal Models, and Clinical Care in Cardiovascular Medicine.Journal of cardiovascular translational research · 2015Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
Indexed as
Identifiers
25119857What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.