ArticleAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science2013
Anonymous Record Linkage Between EPR and CDW-H: Toward Development of a Federated Genotype-Phenotype System.
Article in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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
0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Environmental Polymorphisms Registry (EPR) is a large-scale phenotype-by-genotype registry developed by National Institute of Environmental Health Sciences to facilitate translational research. The link between personal identity and collected genomic data was preserved in EPR which creates opportunities for EPR to be linked to phenotype-rich databases, such as the Carolina Data Warehouse for Health (CDW-H) located at the University of North Carolina hospital system. CDW-H contains clinically-relevant data for patients who have been admitted to UNC healthcare system. To validate the feasibility of linking EPR with CDWH, the number of matching records between the two databases had to be established. To that end, combinations of subjects' demographic identifiers from both databases were converted to anonymized hash codes, which were then matched to determine the number of overlapping records. Preliminary results showed that combination of last name, gender, data of birth and zip code would generate over 2,700 matches between the two databases.
Identifiers
24303325PMC3814467What 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.