{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T14:01:12Z","timestamp":1753884072466,"version":"3.41.2"},"reference-count":40,"publisher":"The Company of Biologists","issue":"8","license":[{"start":{"date-parts":[[2021,9,1]],"date-time":"2021-09-01T00:00:00Z","timestamp":1630454400000},"content-version":"vor","delay-in-days":31,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"crossref","award":["1R01HL141989","1R01HL111267","1R01HL116747","R01MH106522"],"award-info":[{"award-number":["1R01HL141989","1R01HL111267","1R01HL116747","R01MH106522"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,8,1]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n               <jats:p>Clinically pertinent electrocardiogram (ECG) data from model systems, such as zebrafish, are crucial for illuminating factors contributing to human cardiac electrophysiological abnormalities and disease. Current zebrafish ECG collection strategies have not adequately addressed the consistent acquisition of high-quality traces or sources of phenotypic variation that could obscure data interpretation. Thus, we developed a novel platform to ensure high-quality recording of in vivo subdermal adult zebrafish ECGs and zebrafish ECG reading GUI (zERG), a program to acquire measurements from traces that commercial software cannot examine owing to erroneous peak calling. We evaluate normal ECG trait variation, revealing highly reproducible intervals and wave amplitude variation largely driven by recording artifacts, and identify sex and body size as potential confounders to PR, QRS and QT intervals. With this framework, we characterize the effect of the class\u00a0I anti-arrhythmic drug flecainide acetate on adults, provide support for the impact of a Long QT syndrome model, and establish power calculations for this and other studies. These results highlight our pipeline as a robust approach to evaluate zebrafish models of human cardiac electrophysiological phenotypes.<\/jats:p>","DOI":"10.1242\/dmm.048827","type":"journal-article","created":{"date-parts":[[2021,7,5]],"date-time":"2021-07-05T13:26:46Z","timestamp":1625491606000},"source":"Crossref","is-referenced-by-count":7,"title":["Development and optimization of an <i>in vivo<\/i> electrocardiogram recording method and analysis program for adult zebrafish"],"prefix":"10.1242","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9733-440X","authenticated-orcid":false,"given":"ThuyVy","family":"Duong","sequence":"first","affiliation":[{"name":"McKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rebecca","family":"Rose","sequence":"additional","affiliation":[{"name":"McKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1536-5307","authenticated-orcid":false,"given":"Adriana","family":"Blazeski","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21205, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Noah","family":"Fine","sequence":"additional","affiliation":[{"name":"McKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Courtney E.","family":"Woods","sequence":"additional","affiliation":[{"name":"McKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Joseph F.","family":"Thole","sequence":"additional","affiliation":[{"name":"McKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nona","family":"Sotoodehnia","sequence":"additional","affiliation":[{"name":"Cardiovascular Health Research Unit, Departments of Medicine and Epidemiology, University of Washington, Seattle, WA 98101, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Elsayed Z.","family":"Soliman","sequence":"additional","affiliation":[{"name":"Epidemiological Cardiology Research Center (EPICARE), Wake Forest School of Medicine, Winston Salem, NC 27101, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Leslie","family":"Tung","sequence":"additional","affiliation":[{"name":"Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21205, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0016-8466","authenticated-orcid":false,"given":"Andrew S.","family":"McCallion","sequence":"additional","affiliation":[{"name":"McKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8980-8695","authenticated-orcid":false,"given":"Dan E.","family":"Arking","sequence":"additional","affiliation":[{"name":"McKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"237","published-online":{"date-parts":[[2021,8,11]]},"reference":[{"key":"2021090116451025500_DMM048827C1","doi-asserted-by":"publisher","first-page":"e009243","DOI":"10.1161\/JAHA.118.009243","article-title":"Systems genetics approaches in rat identify novel genes and gene networks associated with cardiac conduction","volume":"7","author":"Adriaens","year":"2018","journal-title":"J. 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