Ignite Creation Date:
2025-12-24 @ 2:59 PM
Ignite Modification Date:
2026-02-21 @ 8:27 PM
Study NCT ID:
NCT03394859
Status:
COMPLETED
Last Update Posted:
2020-05-28
First Post:
2017-12-18
Is NOT Gene Therapy:
True
Has Adverse Events:
False
Brief Title:
Electronic Medical Records and Genomics (eMERGE) Phase III
Sponsor:
Organization:
Raw JSON
{'hasResults': False, 'derivedSection': {'miscInfoModule': {'versionHolder': '2025-12-24'}, 'conditionBrowseModule': {'meshes': [{'id': 'D006331', 'term': 'Heart Diseases'}, {'id': 'D009369', 'term': 'Neoplasms'}, {'id': 'D006937', 'term': 'Hypercholesterolemia'}, {'id': 'D003920', 'term': 'Diabetes Mellitus'}, {'id': 'D007674', 'term': 'Kidney Diseases'}, {'id': 'D009468', 'term': 'Neuromuscular Diseases'}], 'ancestors': [{'id': 'D002318', 'term': 'Cardiovascular Diseases'}, {'id': 'D006949', 'term': 'Hyperlipidemias'}, {'id': 'D050171', 'term': 'Dyslipidemias'}, {'id': 'D052439', 'term': 'Lipid Metabolism Disorders'}, {'id': 'D008659', 'term': 'Metabolic Diseases'}, {'id': 'D009750', 'term': 'Nutritional and Metabolic Diseases'}, {'id': 'D044882', 'term': 'Glucose Metabolism Disorders'}, {'id': 'D004700', 'term': 'Endocrine System Diseases'}, {'id': 'D014570', 'term': 'Urologic Diseases'}, {'id': 'D052776', 'term': 'Female Urogenital Diseases'}, {'id': 'D005261', 'term': 'Female Urogenital Diseases and Pregnancy Complications'}, {'id': 'D000091642', 'term': 'Urogenital Diseases'}, {'id': 'D052801', 'term': 'Male Urogenital Diseases'}, {'id': 'D009422', 'term': 'Nervous System Diseases'}]}}, 'protocolSection': {'designModule': {'bioSpec': {'retention': 'SAMPLES_WITH_DNA', 'description': 'Blood samples are drawn from patients after consent in a CLIA certified manner. These samples are processed, DNA is extracted and sent to one of two sequencing centers (Baylor College of Medicine or Partners Healthcare with Broad Institute). DNA is then sequenced and clinical reports along with sequencing results returned to sites.'}, 'studyType': 'OBSERVATIONAL', 'designInfo': {'timePerspective': 'PROSPECTIVE', 'observationalModel': 'COHORT'}, 'enrollmentInfo': {'type': 'ACTUAL', 'count': 25380}, 'patientRegistry': False}, 'statusModule': {'overallStatus': 'COMPLETED', 'startDateStruct': {'date': '2015-09-01', 'type': 'ACTUAL'}, 'expandedAccessInfo': {'hasExpandedAccess': False}, 'statusVerifiedDate': '2020-05', 'completionDateStruct': {'date': '2020-04-01', 'type': 'ACTUAL'}, 'lastUpdateSubmitDate': '2020-05-27', 'studyFirstSubmitDate': '2017-12-18', 'studyFirstSubmitQcDate': '2018-01-08', 'lastUpdatePostDateStruct': {'date': '2020-05-28', 'type': 'ACTUAL'}, 'studyFirstPostDateStruct': {'date': '2018-01-09', 'type': 'ACTUAL'}, 'primaryCompletionDateStruct': {'date': '2020-04-01', 'type': 'ACTUAL'}}, 'outcomesModule': {'primaryOutcomes': [{'measure': 'Impact of return of clinically actionable results on patient treatment', 'timeFrame': 'Six months post return of results', 'description': '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.'}]}, 'oversightModule': {'oversightHasDmc': False, 'isFdaRegulatedDrug': False, 'isFdaRegulatedDevice': False}, 'conditionsModule': {'conditions': ['Cardiac Disease', 'Cancer', 'Hypercholesterolemia', 'Diabetes', 'Kidney Diseases', 'Neuromuscular Diseases']}, 'referencesModule': {'references': [{'pmid': '28222112', 'type': 'BACKGROUND', 'citation': '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.'}, {'pmid': '28203683', 'type': 'BACKGROUND', 'citation': '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.'}, {'pmid': '28190457', 'type': 'BACKGROUND', 'citation': '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.'}, {'pmid': '28065469', 'type': 'BACKGROUND', 'citation': '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.'}, {'pmid': '27908689', 'type': 'BACKGROUND', 'citation': "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."}, {'pmid': '27881091', 'type': 'BACKGROUND', 'citation': "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."}, {'pmid': '27855652', 'type': 'BACKGROUND', 'citation': '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.'}, {'pmid': '27780847', 'type': 'BACKGROUND', 'citation': '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.'}, {'pmid': '27623284', 'type': 'BACKGROUND', 'citation': '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.'}, {'pmid': '27535653', 'type': 'BACKGROUND', 'citation': '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.'}, {'pmid': '27472449', 'type': 'BACKGROUND', 'citation': '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.'}, {'pmid': '34930020', 'type': 'DERIVED', 'citation': '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.'}]}, 'descriptionModule': {'briefSummary': '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.', 'detailedDescription': "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.\n\neMERGE 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.\n\nEach 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."}, 'eligibilityModule': {'sex': 'ALL', 'stdAges': ['CHILD', 'ADULT', 'OLDER_ADULT'], 'maximumAge': '120 Years', 'minimumAge': '1 Day', 'samplingMethod': 'PROBABILITY_SAMPLE', 'studyPopulation': '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.', 'healthyVolunteers': True, 'eligibilityCriteria': 'Inclusion Criteria:\n\n* Age: 1 day old\n* Vital status: Alive\n\nExclusion Criteria:\n\n-None'}, 'identificationModule': {'nctId': 'NCT03394859', 'acronym': 'eMERGE', 'briefTitle': 'Electronic Medical Records and Genomics (eMERGE) Phase III', 'organization': {'class': 'OTHER', 'fullName': 'Vanderbilt University Medical Center'}, 'officialTitle': 'Electronic Medical Records and Genomics (eMERGE) Phase III', 'orgStudyIdInfo': {'id': 'eMERGEIII'}}, 'contactsLocationsModule': {'overallOfficials': [{'name': 'Teri Manolio, MD, PhD', 'role': 'PRINCIPAL_INVESTIGATOR', 'affiliation': 'National Human Genome Research Institute (NHGRI)'}, {'name': 'John Harley, MD, PhD', 'role': 'PRINCIPAL_INVESTIGATOR', 'affiliation': "Children's Hospital Medical Center, Cincinnati"}, {'name': 'Hakon Hakonarson, MD, PhD', 'role': 'PRINCIPAL_INVESTIGATOR', 'affiliation': "Children's Hospital of Philadelphia"}, {'name': 'Chunhua Weng, PhD', 'role': 'PRINCIPAL_INVESTIGATOR', 'affiliation': 'Columbia University'}, {'name': 'Marc Williams, MD', 'role': 'PRINCIPAL_INVESTIGATOR', 'affiliation': 'Geisinger Clinic'}, {'name': 'Elizabeth Karlson, MD', 'role': 'PRINCIPAL_INVESTIGATOR', 'affiliation': 'Harvard University'}, {'name': 'Scott Hebbring, PhD', 'role': 'PRINCIPAL_INVESTIGATOR', 'affiliation': 'Marshfield Clinic'}, {'name': 'Iftikhar Kullo, MD', 'role': 'PRINCIPAL_INVESTIGATOR', 'affiliation': 'Mayo Clinic'}, {'name': 'Samuel Adunyah, PhD', 'role': 'PRINCIPAL_INVESTIGATOR', 'affiliation': 'Meharry Medical College'}, {'name': 'Rex Chisholm, PhD', 'role': 'PRINCIPAL_INVESTIGATOR', 'affiliation': 'Northwestern University'}, {'name': 'Gail Jarvik, MD, PhD', 'role': 'PRINCIPAL_INVESTIGATOR', 'affiliation': 'Kaiser Permanente Washington with the University of Washington and the Fred Hutchinson Cancer Research Center'}, {'name': 'Dan Roden, MD', 'role': 'PRINCIPAL_INVESTIGATOR', 'affiliation': 'Vanderbilt University Medical Center'}, {'name': 'Heidi Rehm, PhD', 'role': 'PRINCIPAL_INVESTIGATOR', 'affiliation': 'Partners Healthcare with Broad Institute'}, {'name': 'Richard Gibbs, PhD', 'role': 'PRINCIPAL_INVESTIGATOR', 'affiliation': 'Baylor College Medicine'}]}, 'ipdSharingStatementModule': {'ipdSharing': 'NO'}, 'sponsorCollaboratorsModule': {'leadSponsor': {'name': 'Vanderbilt University Medical Center', 'class': 'OTHER'}, 'responsibleParty': {'type': 'PRINCIPAL_INVESTIGATOR', 'investigatorTitle': 'Associate Professor of Biomedical Informatics', 'investigatorFullName': 'Josh Peterson', 'investigatorAffiliation': 'Vanderbilt University Medical Center'}}}}