MacRae, Calum A.
16 papers on CoChatORCID 0000-0001-5181-2664
Most cited papers
- Verified
Variants conferring risk of atrial fibrillation on chromosome 4q25
Gudbjartsson, D. F., Arnar, D. O., Helgadottir, A., Gretarsdottir, S., Holm, H., Sigurdsson, A., Jonasdottir, A., Baker, A., Thorleifsson, G., Kristjansson, K., et al. (2007) · Nature
Atrial Fibrillation Management and OutcomesCardiac electrophysiology and arrhythmias
Cited by 955
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RBM20, a gene for hereditary cardiomyopathy, regulates titin splicing
Guo, W., Schafer, S., Greaser, M. L., Radke, M. H., Liss, M., Govindarajan, T., Maatz, H., Schulz, H., Li, S., Parrish, A. M., et al. (2012) · Nature Medicine
RNA Research and SplicingCardiomyopathy and Myosin Studies
Cited by 589
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Common variants in KCNN3 are associated with lone atrial fibrillation
Ellinor, P. T., Lunetta, K. L., Glazer, N. L., Pfeufer, A., Alonso, A., Chung, M. K., Sinner, M. F., de Bakker, P. I. W., Mueller, M., Lubitz, S. A., et al. (2010) · Nature Genetics
Cardiac electrophysiology and arrhythmiasAtrial Fibrillation Management and Outcomes
Cited by 485
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C/EBPβ Controls Exercise-Induced Cardiac Growth and Protects against Pathological Cardiac Remodeling
Boström, P., Mann, N., Wu, J., Quintero, P. A., Plovie, E. R., Panáková, D., Gupta, R. K., Xiao, C., MacRae, C. A., Rosenzweig, A., et al. (2010) · Cell
Congenital heart defects researchCardiac Fibrosis and Remodeling
Cited by 411
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Identification of a New Modulator of the Intercalated Disc in a Zebrafish Model of Arrhythmogenic Cardiomyopathy
Asimaki, A., Kapoor, S., Plovie, E., Karin Arndt, A., Adams, E., Liu, Z., James, C. A., Judge, D. P., Calkins, H., Churko, J., et al. (2014) · Science Translational Medicine
Cardiac electrophysiology and arrhythmiasCardiovascular Effects of Exercise
Cited by 274
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Familial aggregation in lone atrial fibrillation
Ellinor, P. T., Yoerger, D. M., Ruskin, J. N., & MacRae, C. A. (2005) · Human Genetics
Atrial Fibrillation Management and OutcomesCardiac electrophysiology and arrhythmias
Cited by 260
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Artificial intelligence-enabled fully automated detection of cardiac amyloidosis using electrocardiograms and echocardiograms
Goto, S., Mahara, K., Beussink-Nelson, L., Ikura, H., Katsumata, Y., Endo, J., Gaggin, H. K., Shah, S. J., Itabashi, Y., MacRae, C. A., et al. (2021) · Nature Communications
Amyloidosis: Diagnosis, Treatment, OutcomesECG Monitoring and Analysis
Cited by 245
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MicroRNA-26a Regulates Pathological and Physiological Angiogenesis by Targeting BMP/SMAD1 Signaling
Icli, B., Wara, A. K. M., Moslehi, J., Sun, X., Plovie, E., Cahill, M., Marchini, J. F., Schissler, A., Padera, R. F., Shi, J., et al. (2013) · Circulation Research
MicroRNA in disease regulationAngiogenesis and VEGF in Cancer
Cited by 211
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Central role for GSK3β in the pathogenesis of arrhythmogenic cardiomyopathy
Chelko, S. P., Asimaki, A., Andersen, P., Bedja, D., Amat-Alarcon, N., DeMazumder, D., Jasti, R., MacRae, C. A., Leber, R., Kleber, A. G., et al. (2016) · JCI Insight
Cardiovascular Effects of ExerciseCardiomyopathy and Myosin Studies
Cited by 180
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Multinational Federated Learning Approach to Train ECG and Echocardiogram Models for Hypertrophic Cardiomyopathy Detection
Goto, S., Solanki, D., John, J. E., Yagi, R., Homilius, M., Ichihara, G., Katsumata, Y., Gaggin, H. K., Itabashi, Y., MacRae, C. A., et al. (2022) · Circulation
ECG Monitoring and AnalysisCardiomyopathy and Myosin Studies
Cited by 130
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Large-scale genome-wide analysis identifies genetic variants associated with cardiac structure and function
Wild, P. S., Felix, J. F., Schillert, A., Teumer, A., Chen, M.-H., Leening, M. J. G., Völker, U., Großmann, V., Brody, J. A., Irvin, M. R., et al. (2017) · Journal of Clinical Investigation
Genetic Associations and EpidemiologyCardiac electrophysiology and arrhythmias
Cited by 129
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Genetic Variants in SGLT1, Glucose Tolerance, and Cardiometabolic Risk
Seidelmann, S. B., Feofanova, E., Yu, B., Franceschini, N., Claggett, B., Kuokkanen, M., Puolijoki, H., Ebeling, T., Perola, M., Salomaa, V., et al. (2018) · Journal of the American College of Cardiology
Genetic Associations and EpidemiologyNutrition, Genetics, and Disease
Cited by 97
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Phenotypic Manifestations of Arrhythmogenic Cardiomyopathy in Children and Adolescents
DeWitt, E. S., Chandler, S. F., Hylind, R. J., Beausejour Ladouceur, V., Blume, E. D., VanderPluym, C., Powell, A. J., Fynn-Thompson, F., Roberts, A. E., Sanders, S. P., et al. (2019) · Journal of the American College of Cardiology
Cardiovascular Effects of ExerciseCardiomyopathy and Myosin Studies
Cited by 94
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Extraction of ejection fraction from echocardiography notes for constructing a cohort of patients having heart failure with reduced ejection fraction (HFrEF)
Wagholikar, K. B., Fischer, C. M., Goodson, A., Herrick, C. D., Rees, M., Toscano, E., MacRae, C. A., Scirica, B. M., Desai, A. S., & Murphy, S. N. (2018) · Journal of Medical Systems
Artificial Intelligence in HealthcareBiomedical Text Mining and Ontologies
Cited by 27
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Commonalities across computational workflows for uncovering explanatory variants in undiagnosed cases
Kobren, S. N., Baldridge, D., Velinder, M., Krier, J. B., LeBlanc, K., Esteves, C., Pusey, B. N., Züchner, S., Blue, E., Lee, H., et al. (2021) · Genetics in Medicine
Genomics and Rare DiseasesGenomics and Phylogenetic Studies
Cited by 27
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Pragmatic Approaches to the Evaluation and Monitoring of Artificial Intelligence in Health Care: A Science Advisory From the American Heart Association
Jain, S. S., Goto, S., Hall, J. L., Khan, S. S., MacRae, C. A., Ofori, C., Pegus, C., Pencina, M., Peterson, E. D., Schwamm, L. H., et al. (2025) · Circulation
Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI
Cited by 23
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