Evidence map›Paper›PMID 42445300›Full record

ArticleJAMIA open2026

Using a translational data platform to create clinical-grade genome-informed risk assessments.

Jennifer L Morse, Megan He, Hana Bangash, Wendy K Chung, Joshua Cortopassi, Sophie Forman, Adam S Gordon, Marwan Hamed, Paul A Harris, Elizabeth W Karlson and 18 more

Abstract read
In one paragraph

Article in JAMIA open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

28 authors.

Jennifer L MorseVanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN 37232, United States.
Megan HeVanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN 37232, United States.
Hana BangashDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN 55905, United States.
Wendy K ChungDepartment of Pediatrics, Boston Children's Hospital, Boston, MA 02115, United States.
Joshua CortopassiDepartment of Neurology, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL 35294, United States.
Sophie FormanVanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN 37232, United States.
Adam S GordonCenter for Genetic Medicine, Northwestern University, Chicago, IL 60611, United States.
Marwan HamedDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN 55905, United States.
Paul A HarrisVanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN 37232, United States.
Elizabeth W KarlsonDepartment of Medicine, Mass General Brigham, Boston, MA 02114, United States.
Eimear E KennyThe Institute for Genomic Health, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States.
Krzysztof KirylukDivision of Nephrology, Department of Medicine, Columbia University Irving Medical Center, New York, NY 10032, United States.
Iftikhar J KulloDepartment of Medicine, Division of Cardiovascular Medicine, and the Mellowes Center for Genomic Sciences and Precision Medicine, Medical College of Wisconsin, Milwaukee, WI 53226, United States.
Adam LewisVanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN 37232, United States.
Nita LimdiDepartment of Neurology, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL 35294, United States.
Cong LiuDepartment of Pediatrics, Boston Children's Hospital, Boston, MA 02115, United States.ORCID https://orcid.org/0000-0001-6024-3037
Priya MaratheThe Institute for Genomic Health, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States.
Kyle McGuffinVanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN 37232, United States.
Jacqueline OdgisThe Institute for Genomic Health, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States.
Emma PerezDepartment of Personalized Medicine, Mass General Brigham, Boston, MA 02139, United States.
Jacob PetrzelkaDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN 55905, United States.
Cynthia A ProwsHuman Genetics and Patient Services, Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati, OH 45229, United States.
Luke V RasmussenDepartment of Preventive Medicine, Northwestern University, Chicago, IL 60611, United States.ORCID https://orcid.org/0000-0002-4497-8049
Ellis ThomasVanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN 37232, United States.
Georgia L WiesnerDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, United States.
Travis WilsonVanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN 37232, United States.
Jodell E LinderVanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN 37232, United States.
Josh F PetersonDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37232, United States.

Funding

The eMERGE Risk Assessment Network - Coordinating CenterU01HG011166 · NHGRI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Niall John Lennon, Joseph F. Peterson · 2020 to 2026
$16.8M
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
Genomic risk in clinic care to promote health equity in New York City patientsU01HG011176 · NHGRI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI NOURA SERENE ABUL-HUSN, Eimear Elizabeth Kenny · 2020 to 2026
$10.4M
Utilizing Polygenic Risk to Understand and Improve Outcomes: A Model For Overturning Health Disparities Through Minority-Enriched Genomics HealthcareU01HG011175 · NHGRI · CHILDREN'S HOSP OF PHILADELPHIA · PI Hakon Hakonarson · 2020 to 2026
$10.3M
Integrating Genomic Risk Assessment for Disease Management in a Clinical PopulationU01HG011167 · NHGRI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI JAMES J CIMINO, NITA A LIMDI · 2020 to 2026
$9.3M
Northwestern Genomic Risk Assessment and Management ProgramU01HG011169 · NHGRI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI REX L CHISHOLM, Elizabeth M McNally · 2020 to 2026
$7.4M
Polygenic Risk Scores for Healthier African American FamiliesU01HG011172 · NHGRI · CINCINNATI CHILDRENS HOSP MED CTR · PI Leah Claire Kottyan, LISA J MARTIN · 2020 to 2026
$7.2M
Vanderbilt Genome-Electronic Records (VGER) ProjectU01HG011181 · NHGRI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI DAN M RODEN, Digna R Velez Edwards · 2020 to 2026
$7.0M
NHGRI NIH HHS U01 HG006379NHGRI NIH HHS U01 HG008657NHGRI NIH HHS U01 HG008680NHGRI NIH HHS U01 HG008685NHGRI NIH HHS U01 HG011166NHGRI NIH HHS U01 HG011167NHGRI NIH HHS U01 HG011169NHGRI NIH HHS U01 HG011172NHGRI NIH HHS U01 HG011175NHGRI NIH HHS U01 HG011176NHGRI NIH HHS U01 HG011181
6 · The paper itself

Abstract

Objective: To describe the development and implementation of an automated platform for genomic risk prediction that integrates multiple data types. Materials and methods: Using the REDCap infrastructure, we constructed the R Results: The R Discussion: As the science of estimating disease risk evolves, standardized and high-throughput methods of collecting and manipulating complex data are required. Platforms should be open-source, modular, and reusable, ensuring flexibility, security, and integration across healthcare environments. Conclusion: The electronic MEdical Records and GEnomics (eMERGE) network successfully generated and returned comprehensive risk profiles using logic and data specific to 11 conditions in a secure and semi-automated fashion employing a customized REDCap database.

Indexed as

Genomic risk predictionPopulation health genomicsREDCap

Identifiers

PMID42445300
PMCPMC13361706

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.