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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, Declan P.
Aguib, Yasmine
Yacoub, Magdi H.
Cook, Stuart A.
Barton, Paul J.R.
Bottolo, Leonardo
Ware, James S. https://orcid.org/0000-0002-6110-5880
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Funding
Funding for this research was provided by:
Science and Technology Development Fund
Al-Alfi Foundation
Magdi Yacoub Heart Foundation
Alan Turing Institute (EP/N510129/1)
Rosetrees and Stoneygate Imperial College Research Fellowship
National Health and Medical Research Council
National Health and Medical Research Council
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More Information
This article is maintained by: Elsevier
Article Title: Disease-specific variant pathogenicity prediction significantly improves variant interpretation in inherited cardiac conditions
Journal Title: Genetics in Medicine
CrossRef DOI link to publisher maintained version: https://doi.org/10.1038/s41436-020-00972-3
Content Type: article
Copyright: © 2021, The Author(s), under exclusive licence to the American College of Medical Genetics and Genomics
