Evidence map›Paper›PMID 34257418›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2021

Neptune: an environment for the delivery of genomic medicine.

Venner Eric, Victoria Yi, David Murdock, Sara E Kalla, Tsung-Jung Wu, Aniko Sabo, Shoudong Li, Qingchang Meng, Xia Tian, Mullai Murugan and 10 more

Abstract read
In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Genetic testing in ambulatory cardiology clinics reveals high rate of findings with clinical management implications.Genetics in medicine : official journal of the American College of Medical Genetics · 2021
    Article
  6. Article
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

20 authors.

Venner EricHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA. venner@bcm.edu.
Victoria YiHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
David MurdockHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
Sara E KallaHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
Tsung-Jung WuHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
Aniko SaboHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
Shoudong LiHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
Qingchang MengHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
Xia TianHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
Mullai MuruganHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
Michelle CohenHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
Christie KovarHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
Wei-Qi WeiDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.
Wendy K ChungDepartments of Pediatrics and Medicine, Columbia University, New York, NY, USA.
Chunhua WengDepartment of Biomedical Informatics, Columbia University, New York, New York, NY, USA.
Georgia L WiesnerDivision of Genetic Medicine, Department of Internal Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Gail P JarvikDepartment of Medicine (Medical Genetics), University of Washington School of Medicine, Seattle, WA, USA.
Donna MuznyHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
Richard A GibbsHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
eMERGE Consortium

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Genomic Basis of Susceptibility to COVID-19 Infection and its ComplicationsU01HG006379 · NHGRI · MAYO CLINIC ROCHESTER · PI Richard R. Sharp · 2011 to 2026
$16.5M
Finding Genomic Profiles of COVID-19 Phenotypes from the EHRU01HG008685 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIZABETH W KARLSON, Matthew S Lebo · 2015 to 2026
$13.6M
Variation, Function, and Disease Supplement ProgramU01HG008657 · NHGRI · UNIVERSITY OF WASHINGTON · PI David Russell Crosslin, Gail Pairitz Jarvik · 2015 to 2026
$13.4M
OMOP information model for eMERGE phenotypingU01HG008680 · NHGRI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Wendy K Chung, GEORGE M HRIPCSAK · 2015 to 2026
$13.3M
DNA Sequencing Support for the eMERGE NetworkU01HG008664 · NHGRI · BAYLOR COLLEGE OF MEDICINE · PI GIBBS, RICHARD A · 2015 to 2019
$10.9M
Global Alliance for Genomic Health (GA4GH)U01HG008676 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI LENNON, NIALL JOHN, REHM, HEIDI L · 2015 to 2019
$8.6M
The Electronic Medical Records and Genomics (eMERGE) Network Phase III Coordinating Center (U01)U01HG008701 · NHGRI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI PETERSON, JOSEPH F. · 2015 to 2019
$7.1M
VGER, the Vanderbilt Genome-Electronic Records ProjectU01HG008672 · NHGRI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI DENNY, JOSHUA C., RODEN, DAN M · 2015 to 2019
$5.1M
The Future of Genomics Medicine in Patient Care: Contributions from CHOPU01HG008684 · NHGRI · CHILDREN'S HOSP OF PHILADELPHIA · PI HAKONARSON, HAKON · 2015 to 2019
$5.0M
OMOP information model for eMERGE phenotypingU01HG008679 · NHGRI · GEISINGER CLINIC · PI WILLIAMS, MARC S. · 2015 to 2019
$4.4M
Better Outcomes for Children: Promoting Excellence in Healthcare Genomics to Inform PolicyU01HG008666 · NHGRI · CINCINNATI CHILDRENS HOSP MED CTR · PI HARLEY, JOHN BARKER · 2015 to 2019
$4.2M
NCATS NIH HHS UL1 TR001863NHGRI NIH HHS U01 HG006379NHGRI NIH HHS U01 HG008657NHGRI NIH HHS U01 HG008664NHGRI NIH HHS U01 HG008666NHGRI NIH HHS U01 HG008672NHGRI NIH HHS U01 HG008673NHGRI NIH HHS U01 HG008676NHGRI NIH HHS U01 HG008679NHGRI NIH HHS U01 HG008680NHGRI NIH HHS U01 HG008684NHGRI NIH HHS U01 HG008685NHGRI NIH HHS U01 HG008701
6 · The paper itself

Abstract

purposeGenomic medicine holds great promise for improving health care, but integrating searchable and actionable genetic data into electronic health records (EHRs) remains a challenge. Here we describe Neptune, a system for managing the interaction between a clinical laboratory and an EHR system during the clinical reporting process.

methodsWe developed Neptune and applied it to two clinical sequencing projects that required report customization, variant reanalysis, and EHR integration.

resultsNeptune has been applied for the generation and delivery of over 15,000 clinical genomic reports. This work spans two clinical tests based on targeted gene panels that contain 68 and 153 genes respectively. These projects demanded customizable clinical reports that contained a variety of genetic data types including single-nucleotide variants (SNVs), copy-number variants (CNVs), pharmacogenomics, and polygenic risk scores. Two variant reanalysis activities were also supported, highlighting this important workflow.

conclusionMethods are needed for delivering structured genetic data to EHRs. This need extends beyond developing data formats to providing infrastructure that manages the reporting process itself. Neptune was successfully applied on two high-throughput clinical sequencing projects to build and deliver clinical reports to EHR systems. The software is open source and available at https://gitlab.com/bcm-hgsc/neptune .

Indexed as

GenomicsNeptuneElectronic Health RecordsHigh-Throughput Nucleotide SequencingHumansSoftware

Identifiers

PMID34257418
PMCPMC8487966

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.