Johannes R Lemke, Mark J Daly, Jen Pan, Hao-Ran Wang, Arthur J Campbell, Dennis Lal, Steffen Syrbe, Ute I Scholl, Eduardo Pérez-Palma, Rikke S Møller, Stephan Lauxmann, Katrine M Johannesen, Patrick May, Andreas Brunklaus, Duncan S Palmer, Sumaiya Iqbal, David Baez-Nieto, Henrike O Heyne, Holger Lerche
Journal: Science translational medicine 2021;12(556):eaay6848
PMID: 32801145
Malfunctions of voltage-gated sodium and calcium channels (encoded by and family genes, respectively) have been associated with severe neurologic, psychiatric, cardiac, and other diseases. Altered channel activity is frequently grouped into gain or loss of ion channel function (GOF or LOF, respectively) that often corresponds not only to clinical disease manifestations but also to differences in drug response. Experimental studies of channel function are therefore important, but laborious and usually focus only on a few variants at a time. On the basis of known gene-disease mechanisms of 19 different diseases, we inferred LOF ( = 518) and GOF ( = 309) likely pathogenic variants from the disease phenotypes of variant carriers. By training a machine learning model on sequence- and structure-based features, we predicted LOF or GOF effects [area under the receiver operating characteristics curve (ROC) = 0.85] of likely pathogenic missense variants. Our LOF versus GOF prediction corresponded to molecular LOF versus GOF effects for 87 functionally tested variants in and (ROC = 0.73) and was validated in exome-wide data from 21,703 cases and 128,957 controls. We showed respective regional clustering of inferred LOF and GOF nucleotide variants across the alignment of the entire gene family, suggesting shared pathomechanisms in the family genes.
Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.
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