Evidence map›Paper›PMID 18500243›Full record

ArticleClinical pharmacology and therapeutics2008

Development of a large-scale de-identified DNA biobank to enable personalized medicine.

D M Roden, J M Pulley, M A Basford, G R Bernard, E W Clayton, J R Balser, D R Masys

Registry-linked trialAbstract read
In one paragraph

Article in Clinical pharmacology and therapeutics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05277116 (The Electronic Medical Records and GEnomics), which is not on this map. Cited by 729 papers, 15 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
729citing papers in PubMed, 15 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

NCT05277116 naactive not recruitingnot on this mapstarted 2022, after this paper: background citation

The Electronic Medical Records and GEnomics (eMERGE) Network Genomic Risk Assessment

TypeinterventionalSponsorVanderbilt University Medical CenterRan2022 to 2030Enrolled26,877ConditionsGenetic DiseaseArmsGenome Informed Risk Assessment (GIRA) report
3 · Its place in the literature

Who cites it

729 citing papers in PubMed, 15 syntheses or guidelines pooled it.

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669 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

D M RodenOffice of Personalized Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee, USA. dan.roden@vanderbilt.edu
J M Pulley
M A Basford
G R Bernard
E W Clayton
J R Balser
D R Masys

Funding

VANDERBILT UNIVERSITY CTSA FOR PEDIATRIC RESEARCHUL1RR024975 · NCRR · VANDERBILT UNIVERSITY · PI BERNARD, GORDON RAPHAEL · 2007 to 2011
$45.7M
NCRR NIH HHS 1UL1 RR024975-01NCRR NIH HHS UL1 RR024975
6 · The paper itself

Abstract

Our objective was to develop a DNA biobank linked to phenotypic data derived from an electronic medical record (EMR) system. An "opt-out" model was implemented after significant review and revision. The plan included (i) development and maintenance of a de-identified mirror image of the EMR, namely, the "synthetic derivative" (SD) and (ii) DNA extracted from discarded blood samples and linked to the SD. Surveys of patients indicated general acceptance of the concept, with only a minority ( approximately 5%) opposing it. As a result, mechanisms to facilitate opt-out included publicity and revision of a standard "consent to treatment" form. Algorithms for sample handling and procedures for de-identification were developed and validated in order to ensure acceptable error rates (<0.3 and <0.1%, respectively). The rate of sample accrual is 700-900 samples/week. The advantages of this approach are the rate of sample acquisition and the diversity of phenotypes based on EMRs.

Indexed as

Academic Medical CentersDatabases, Nucleic AcidDNAEthics Committees, ResearchGenotypeHealth Insurance Portability and Accountability ActHumansMedical Records Systems, ComputerizedTennesseeUnited StatesDNA

Identifiers

PMID18500243
PMCPMC3763939

What OpenQuestion holds

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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.