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CompletedNCT03394859eMERGEUpdated May 28, 2020

Electronic Medical Records and Genomics (eMERGE) Phase III

An observational study in Cardiac Disease, Cancer and Hypercholesterolemia, sponsored by Vanderbilt University Medical Center. Completed. Open to participants aged 1 Day to 120 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2020-05-28.

Sponsored by Vanderbilt University Medical Center · Observational

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Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
25,380
Ages
1 Day to 120 Years
Sex
All
01

Study summary

The Electronic Medical Records and Genomics (eMERGE) Network is in its third phase and during this time is enrolling and sequencing 25,000 individuals on a custom sequencing panel of clinically relevant, actionable genes. The genetic results will be returned to participants and outcomes tracked through the electronic health records.

Read the detailed description

The Electronic Medical Records and Genomics (eMERGE) Network is a National Human Genome Research Institute (NHGRI)-funded consortium tasked with developing methods and best practices for utilization of the electronic medical record (EMR) as a tool for genomic research. Phase III is focused on returning actionable gene variants to patients and measuring clinical outcomes. Ultimately, eMERGE hopes its efforts will result in improvements in health care, through safer and more effective prescription methodology, augmentation of primary and secondary prevention strategies, and enhanced understanding of the biology of disease.

eMERGE is composed of 10 clinical sites [ Childrens Hospital of Pennsylvania (CHOP); Cincinnati Children's Medical Center (CCHMC); Columbia University; Geisinger; Kaiser Permanente Washington with Washington University and the Fred Hutchinson Cancer Research Center; Harvard University; Mayo Clinic; Meharry Medical College; Northwestern University; Vanderbilt University Medical center (VUMC)], one non clinical site: Marshfield Clinic, two sequencing centers [Baylor college of Medicine; Partners Healthcare with Broad Institute], a Coordinating Center (VUMC), and the NHGRI. More information on the eMERGE Network can be found at www.gwas.org.

Each sites' research study is tailored to their specific interests. An eMERGE specific sequencing panel was designed and ran on participants covering 109 genes and 1551 Single Nucleotide Variants (SNVs), of which 68 genes and 14 SNVs are clinically actionable and are being returned to patients.

02

Conditions studied

  • Cardiac Disease
  • Cancer
  • Hypercholesterolemia
  • Diabetes
  • Kidney Diseases
  • Neuromuscular Diseases
03

In context

Heart Diseases

2,135 studies on the registry are indexed under Heart Diseases; 252 are open to participants now.

This study's enrollment of 25,380 is above the median of 350 across 592 observational studies indexed under Heart Diseases.

Browse Heart Diseases studies →

Lead sponsor

Vanderbilt University Medical Center is the lead sponsor of 835 studies on the registry; 155 are open to participants now.

Of its 126 completed or terminated interventional studies of FDA-regulated products, 92 (73%) have results posted.

Counted across the registry records on this site, refreshed daily.

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Who can participate

Ages eligible
1 Day to 120 Years
Sexes eligible
All
Accepts healthy volunteers
Yes
Sampling method
Probability sample

Study population

Approximately 2500 to 3000 participants are enrolled at each site. Two sites (CCHMC and CHOP) are primarily enrolling pediatric patients while the rest focus on adult populations. Each site has unique specific aims and due to this cohorts differ slightly at each site. After sequencing is complete the data from all sites will be pooled into one large data set to allow for cross site analysis.

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Age: 1 day old
  • Vital status: Alive

Exclusion criteria

Exclusion Criteria:

-None

05

Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
25,380 participants (actual)
Patient registry
No
Biospecimen retention
Samples with dna
06

What researchers measure

Primary outcomes

  1. Impact of return of clinically actionable results on patient treatment

    The network will abstract data from patient electronic health records (EHR) six months after clinically actionable results have been returned to the patients and providers. The Network will determine changes in medication or treatments after return of the sequencing results. Outcome measures on patients receiving both positive and negative results will be analyzed.

    Time frame: Six months post return of results

07

Study locations

No study locations are listed for this record.

08

References and documents

Publications

  • Dumitrescu L, Ritchie MD, Denny JC, El Rouby NM, McDonough CW, Bradford Y, Ramirez AH, Bielinski SJ, Basford MA, Chai HS, Peissig P, Carrell D, Pathak J, Rasmussen LV, Wang X, Pacheco JA, Kho AN, Hayes MG, Matsumoto M, Smith ME, Li R, Cooper-DeHoff RM, Kullo IJ, Chute CG, Chisholm RL, Jarvik GP, Larson EB, Carey D, McCarty CA, Williams MS, Roden DM, Bottinger E, Johnson JA, de Andrade M, Crawford DC. Genome-wide study of resistant hypertension identified from electronic health records. PLoS One. 2017 Feb 21;12(2):e0171745. doi: 10.1371/journal.pone.0171745. eCollection 2017. PubMed 28222112 ↗
  • Heit JA, Armasu SM, McCauley BM, Kullo IJ, Sicotte H, Pathak J, Chute CG, Gottesman O, Bottinger EP, Denny JC, Roden DM, Li R, Ritchie MD, de Andrade M. Identification of unique venous thromboembolism-susceptibility variants in African-Americans. Thromb Haemost. 2017 Apr 3;117(4):758-768. doi: 10.1160/TH16-08-0652. Epub 2017 Feb 16. PubMed 28203683 ↗
  • Sanderson SC, Brothers KB, Mercaldo ND, Clayton EW, Antommaria AHM, Aufox SA, Brilliant MH, Campos D, Carrell DS, Connolly J, Conway P, Fullerton SM, Garrison NA, Horowitz CR, Jarvik GP, Kaufman D, Kitchner TE, Li R, Ludman EJ, McCarty CA, McCormick JB, McManus VD, Myers MF, Scrol A, Williams JL, Shrubsole MJ, Schildcrout JS, Smith ME, Holm IA. Public Attitudes toward Consent and Data Sharing in Biobank Research: A Large Multi-site Experimental Survey in the US. Am J Hum Genet. 2017 Mar 2;100(3):414-427. doi: 10.1016/j.ajhg.2017.01.021. Epub 2017 Feb 9. PubMed 28190457 ↗
  • Wan Z, Vorobeychik Y, Xia W, Clayton EW, Kantarcioglu M, Malin B. Expanding Access to Large-Scale Genomic Data While Promoting Privacy: A Game Theoretic Approach. Am J Hum Genet. 2017 Feb 2;100(2):316-322. doi: 10.1016/j.ajhg.2016.12.002. Epub 2017 Jan 5. PubMed 28065469 ↗
  • Schmidt AF, Swerdlow DI, Holmes MV, Patel RS, Fairhurst-Hunter Z, Lyall DM, Hartwig FP, Horta BL, Hypponen E, Power C, Moldovan M, van Iperen E, Hovingh GK, Demuth I, Norman K, Steinhagen-Thiessen E, Demuth J, Bertram L, Liu T, Coassin S, Willeit J, Kiechl S, Willeit K, Mason D, Wright J, Morris R, Wanamethee G, Whincup P, Ben-Shlomo Y, McLachlan S, Price JF, Kivimaki M, Welch C, Sanchez-Galvez A, Marques-Vidal P, Nicolaides A, Panayiotou AG, Onland-Moret NC, van der Schouw YT, Matullo G, Fiorito G, Guarrera S, Sacerdote C, Wareham NJ, Langenberg C, Scott R, Luan J, Bobak M, Malyutina S, Pajak A, Kubinova R, Tamosiunas A, Pikhart H, Husemoen LL, Grarup N, Pedersen O, Hansen T, Linneberg A, Simonsen KS, Cooper J, Humphries SE, Brilliant M, Kitchner T, Hakonarson H, Carrell DS, McCarty CA, Kirchner HL, Larson EB, Crosslin DR, de Andrade M, Roden DM, Denny JC, Carty C, Hancock S, Attia J, Holliday E, O'Donnell M, Yusuf S, Chong M, Pare G, van der Harst P, Said MA, Eppinga RN, Verweij N, Snieder H; LifeLines Cohort study group; Christen T, Mook-Kanamori DO, Gustafsson S, Lind L, Ingelsson E, Pazoki R, Franco O, Hofman A, Uitterlinden A, Dehghan A, Teumer A, Baumeister S, Dorr M, Lerch MM, Volker U, Volzke H, Ward J, Pell JP, Smith DJ, Meade T, Maitland-van der Zee AH, Baranova EV, Young R, Ford I, Campbell A, Padmanabhan S, Bots ML, Grobbee DE, Froguel P, Thuillier D, Balkau B, Bonnefond A, Cariou B, Smart M, Bao Y, Kumari M, Mahajan A, Ridker PM, Chasman DI, Reiner AP, Lange LA, Ritchie MD, Asselbergs FW, Casas JP, Keating BJ, Preiss D, Hingorani AD; UCLEB consortium; Sattar N. PCSK9 genetic variants and risk of type 2 diabetes: a mendelian randomisation study. Lancet Diabetes Endocrinol. 2017 Feb;5(2):97-105. doi: 10.1016/S2213-8587(16)30396-5. Epub 2016 Nov 29. PubMed 27908689 ↗
  • Smith ME, Sanderson SC, Brothers KB, Myers MF, McCormick J, Aufox S, Shrubsole MJ, Garrison NA, Mercaldo ND, Schildcrout JS, Clayton EW, Antommaria AH, Basford M, Brilliant M, Connolly JJ, Fullerton SM, Horowitz CR, Jarvik GP, Kaufman D, Kitchner T, Li R, Ludman EJ, McCarty C, McManus V, Stallings S, Williams JL, Holm IA. Conducting a large, multi-site survey about patients' views on broad consent: challenges and solutions. BMC Med Res Methodol. 2016 Nov 24;16(1):162. doi: 10.1186/s12874-016-0263-7. PubMed 27881091 ↗
  • Jackson KL, Mbagwu M, Pacheco JA, Baldridge AS, Viox DJ, Linneman JG, Shukla SK, Peissig PL, Borthwick KM, Carrell DA, Bielinski SJ, Kirby JC, Denny JC, Mentch FD, Vazquez LM, Rasmussen-Torvik LJ, Kho AN. Performance of an electronic health record-based phenotype algorithm to identify community associated methicillin-resistant Staphylococcus aureus cases and controls for genetic association studies. BMC Infect Dis. 2016 Nov 17;16(1):684. doi: 10.1186/s12879-016-2020-2. PubMed 27855652 ↗
  • Mosley JD, van Driest SL, Wells QS, Shaffer CM, Edwards TL, Bastarache L, McCarty CA, Thompson W, Chute CG, Jarvik GP, Crosslin DR, Larson EB, Kullo IJ, Pacheco JA, Peissig PL, Brilliant MH, Linneman JG, Denny JC, Roden DM. Defining a Contemporary Ischemic Heart Disease Genetic Risk Profile Using Historical Data. Circ Cardiovasc Genet. 2016 Dec;9(6):521-530. doi: 10.1161/CIRCGENETICS.116.001530. Epub 2016 Oct 25. PubMed 27780847 ↗
  • Verma SS, Cooke Bailey JN, Lucas A, Bradford Y, Linneman JG, Hauser MA, Pasquale LR, Peissig PL, Brilliant MH, McCarty CA, Haines JL, Wiggs JL, Vrabec TR, Tromp G, Ritchie MD; eMERGE Network; NEIGHBOR Consortium. Epistatic Gene-Based Interaction Analyses for Glaucoma in eMERGE and NEIGHBOR Consortium. PLoS Genet. 2016 Sep 13;12(9):e1006186. doi: 10.1371/journal.pgen.1006186. eCollection 2016 Sep. PubMed 27623284 ↗
  • Verma A, Verma SS, Pendergrass SA, Crawford DC, Crosslin DR, Kuivaniemi H, Bush WS, Bradford Y, Kullo I, Bielinski SJ, Li R, Denny JC, Peissig P, Hebbring S, De Andrade M, Ritchie MD, Tromp G. eMERGE Phenome-Wide Association Study (PheWAS) identifies clinical associations and pleiotropy for stop-gain variants. BMC Med Genomics. 2016 Aug 12;9 Suppl 1(Suppl 1):32. doi: 10.1186/s12920-016-0191-8. PubMed 27535653 ↗
  • Lingren T, Chen P, Bochenek J, Doshi-Velez F, Manning-Courtney P, Bickel J, Wildenger Welchons L, Reinhold J, Bing N, Ni Y, Barbaresi W, Mentch F, Basford M, Denny J, Vazquez L, Perry C, Namjou B, Qiu H, Connolly J, Abrams D, Holm IA, Cobb BA, Lingren N, Solti I, Hakonarson H, Kohane IS, Harley J, Savova G. Electronic Health Record Based Algorithm to Identify Patients with Autism Spectrum Disorder. PLoS One. 2016 Jul 29;11(7):e0159621. doi: 10.1371/journal.pone.0159621. eCollection 2016. PubMed 27472449 ↗
  • Glazer AM, Davogustto G, Shaffer CM, Vanoye CG, Desai RR, Farber-Eger EH, Dikilitas O, Shang N, Pacheco JA, Yang T, Muhammad A, Mosley JD, Van Driest SL, Wells QS, Shaffer LL, Kalash OR, Wada Y, Bland HT, Yoneda ZT, Mitchell DW, Kroncke BM, Kullo IJ, Jarvik GP, Gordon AS, Larson EB, Manolio TA, Mirshahi T, Luo JZ, Schaid D, Namjou B, Alsaied T, Singh R, Singhal A, Liu C, Weng C, Hripcsak G, Ralston JD, McNally EM, Chung WK, Carrell DS, Leppig KA, Hakonarson H, Sleiman P, Sohn S, Glessner J; eMERGE Network; Denny J, Wei WQ, George AL Jr, Shoemaker MB, Roden DM. Arrhythmia Variant Associations and Reclassifications in the eMERGE-III Sequencing Study. Circulation. 2022 Mar 22;145(12):877-891. doi: 10.1161/CIRCULATIONAHA.121.055562. Epub 2021 Dec 21. PubMed 34930020 ↗

Individual participant data

Plan to share: No

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Ran from Sep 2015 to primary completion in Apr 2020, 55 months.

Of 184 non-industry observational studies under Heart Diseases, half reached primary completion within 49 months of starting (the median), counting those still running; a quarter within 22 and three quarters within 118. This study's 55 months is above that.

Counting every sponsor, half of 238 studies reached it within 45 months; a quarter within 18 and three quarters within 95.

How these figures are worked out, and which studies are left out of them.

Registered
Dec 18, 2017
First posted
Jan 9, 2018
StartActual
Sep 1, 2015
Primary completionActual
Apr 1, 2020
CompletionActual
Apr 1, 2020
Last update
May 28, 2020
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on May 28, 2020, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT03394859
Responsible party
Josh Peterson (Associate Professor of Biomedical Informatics, Vanderbilt University Medical Center) — Principal investigator
First posted
Jan 9, 2018
Start date
Sep 1, 2015
Primary completion
Apr 1, 2020
Completion
Apr 1, 2020
Last update
May 28, 2020

Study contacts

Teri Manolio, MD, PhD
principal investigator · National Human Genome Research Institute (NHGRI)
John Harley, MD, PhD
principal investigator · Children's Hospital Medical Center, Cincinnati
Hakon Hakonarson, MD, PhD
principal investigator · Children's Hospital of Philadelphia
Chunhua Weng, PhD
principal investigator · Columbia University
Marc Williams, MD
principal investigator · Geisinger Clinic
Elizabeth Karlson, MD
principal investigator · Harvard University
Scott Hebbring, PhD
principal investigator · Marshfield Clinic
Iftikhar Kullo, MD
principal investigator · Mayo Clinic
Samuel Adunyah, PhD
principal investigator · Meharry Medical College
Rex Chisholm, PhD
principal investigator · Northwestern University
Gail Jarvik, MD, PhD
principal investigator · Kaiser Permanente Washington with the University of Washington and the Fred Hutchinson Cancer Research Center
Dan Roden, MD
principal investigator · Vanderbilt University Medical Center
Heidi Rehm, PhD
principal investigator · Partners Healthcare with Broad Institute
Richard Gibbs, PhD
principal investigator · Baylor College Medicine

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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This study is completed, as verified in May 2020. You cannot join it, but the record below documents what was studied.

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