- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT03394859
Electronic Medical Records and Genomics (eMERGE) Phase III (eMERGE)
Study Overview
Status
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.
Study Type
Enrollment (Actual)
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- Age: 1 day old
- Vital status: Alive
Exclusion Criteria:
-None
Study Plan
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Impact of return of clinically actionable results on patient treatment
Time Frame: Six months post return of results
|
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.
|
Six months post return of results
|
Collaborators and Investigators
Investigators
- Principal Investigator: Iftikhar Kullo, MD, Mayo Clinic
- Principal Investigator: Teri Manolio, MD, PhD, National Human Genome Research Institute (NHGRI)
- Principal Investigator: John Harley, MD, PhD, Children's Hospital Medical Center, Cincinnati
- Principal Investigator: Hakon Hakonarson, MD, PhD, Children's Hospital of Philadelphia
- Principal Investigator: Chunhua Weng, PhD, Columbia University
- Principal Investigator: Marc Williams, MD, Geisinger Clinic
- Principal Investigator: Elizabeth Karlson, MD, Harvard University
- Principal Investigator: Scott Hebbring, PhD, Marshfield Clinic
- Principal Investigator: Samuel Adunyah, PhD, Meharry Medical College
- Principal Investigator: Rex Chisholm, PhD, Northwestern University
- Principal Investigator: Gail Jarvik, MD, PhD, Kaiser Permanente Washington with the University of Washington and the Fred Hutchinson Cancer Research Center
- Principal Investigator: Dan Roden, MD, Vanderbilt University Medical Center
- Principal Investigator: Heidi Rehm, PhD, Partners Healthcare with Broad Institute
- Principal Investigator: Richard Gibbs, PhD, Baylor College Medicine
Publications and helpful links
General 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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 S, 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.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- eMERGEIII
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
Clinical Trials on Kidney Diseases
-
3-C Institute for Social DevelopmentUniversity of North Carolina, Chapel HillCompletedChronic Kidney Diseases | Chronic Kidney Disease Stage 5 | Chronic Kidney Disease stage4 | Pediatric Kidney Disease | Chronic Kidney Disease stage3 | Chronic Kidney Disease Stage V | Chronic Kidney Disease, Stage IV (Severe) | Chronic Kidney Disease Stage 2 | Chronic Kidney Disease, Stage IUnited States
-
University of North Carolina, Chapel HillLantheus Medical ImagingCompletedChronic Kidney Diseases | Cystic Kidney DiseaseUnited States
-
SanofiTerminatedCongenital Cystic Kidney DiseaseGermany, Spain, United States, Australia, Belgium, Japan, Korea, Republic of, Netherlands
-
Pang PengGuangdong Provincial Hospital of Traditional Chinese MedicineUnknownEnd-Stage Kidney Disease | Chronic Kidney FailureChina
-
Universiti Putra MalaysiaRecruitingChronic Kidney Diseases | Chronic Kidney Disease Stage 5 | Chronic Kidney Disease stage4 | Chronic Kidney Disease stage3 | Chronic Kidney Disease Requiring Chronic DialysisMalaysia
-
RenJi HospitalUnknownKidney Diseases,CysticChina
-
George Washington UniversityCareDx; VirginiaBio Analytics, LLCTerminatedKidney Diseases | Kidney Failure, Chronic | Kidney Transplant Infection | Kidney Transplant Rejection | Kidney Injury | Kidney Disease, Chronic | Kidney Failure | Kidney Failure, Acute | Kidney Transplant; Complications | Kidney IschemiaUnited States
-
Centre Hospitalier le MansLe Mans UniversiteWithdrawnFatigue | Chronic Kidney Disease Stage 5 | Chronic Kidney Disease stage3 | Chronic Kidney Failure | Chronic Kidney Disease, Stage 4 (Severe)
-
Renibus Therapeutics, Inc.CompletedKidney Failure, AcuteUnited States
-
Emory UniversityNorthwestern University; Columbia University; Satellite Healthcare; Norman S. Coplon...CompletedKidney Failure, Chronic | Kidney Transplantation | End-Stage Kidney DiseaseUnited States