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Get Free AccessOur findings indicate that large-scale high-depth sequence data and electrocardiographic analysis identifies monogenic arrhythmia susceptibility genes and rare variants with large effects. Known pathogenic variation in conventional arrhythmia and SCD genes exhibited incomplete penetrance and accounted for only a small fraction of marked electrocardiographic interval prolongation.
Seung Hoan Choi, Sean J. Jurgens, Christopher M. Haggerty, Amelia Weber Hall, Jennifer L. Halford, Valerie N. Morrill, Lu‐Chen Weng, Braxton Lagerman, Tooraj Mirshahi, Mary Pettinger, Xiuqing Guo, Henry J. Lin, Álvaro Alonso, Elsayed Z. Soliman, Jelena Kornej, Honghuang Lin, Arden Moscati, Girish N. Nadkarni, Jennifer A. Brody, Kerri L. Wiggins, Brian E. Cade, Jiwon Lee, Christina Austin‐Tse, Tom Blackwell, Mark Chaffin, Christina Ji‐Young Lee, Heidi L. Rehm, Carolina Roselli, Susan Redline, Braxton D. Mitchell, Nona Sotoodehnia, Bruce M. Psaty, Susan R. Heckbert, Ruth J. F. Loos, Ramachandran S. Vasan, Emelia Benjamin, Adolfo Correa, Eric Boerwinkle, Dan E. Arking, Jerome I. Rotter, Stephen S. Rich, Eric A. Whitsel, Marco Pérez, Charles Kooperberg, Brandon K. Fornwalt, Kathryn L. Lunetta, Patrick T. Ellinor, Steven A. Lubitz (2021). Rare Coding Variants Associated With Electrocardiographic Intervals Identify Monogenic Arrhythmia Susceptibility Genes: A Multi-Ancestry Analysis. , 14(4), DOI: https://doi.org/10.1161/circgen.120.003300.
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Type
Article
Year
2021
Authors
48
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1161/circgen.120.003300
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