Disease-specific variant pathogenicity prediction significantly improves variant interpretation in inherited cardiac conditions

Disease-specific variant pathogenicity prediction significantly improves variant interpretation in inherited cardiac conditions

10.1038/s41436-020-00972-3

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Bibliographic Details
Main Authors:	Zhang, Xiaolei, Walsh, Roddy, Whiffin, Nicola, Buchan, Rachel, Midwinter, William, Wilk, Alicja, Govind, Risha, Li, Nicholas, Ahmad, Mian, Mazzarotto, Francesco, Roberts, Angharad, Theotokis, Pantazis I., Mazaika, Erica, Allouba, Mona, de Marvao, Antonio, Pua, Chee Jian, Day, Sharlene M., Ashley, Euan, Colan, Steven D., Michels, Michelle, Pereira, Alexandre C., Jacoby, Daniel, Ho, Carolyn Y., Olivotto, Iacopo, Gunnarsson, Gunnar T., Jefferies, John L., Semsarian, Chris, Ingles, Jodie, O’Regan, D.P., Aguib, Yasmine, Yacoub, Magdi H., Cook, Stuart A., Barton, Paul J. R., Bottolo, Leonardo, Ware, James S.
Other Authors:	DUKE-NUS MEDICAL SCHOOL
Format:	Article
Published:	Springer Nature 2022
Subjects:	Brugada syndrome cardiomyopathy long QT syndrome missense variant interpretation pathogenicity prediction
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/232254
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Institution:	National University of Singapore

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