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Cardiovascular Research
Article . 2020 . Peer-reviewed
License: OUP Standard Publication Reuse
Data sources: Crossref
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Impact of functional studies on exome sequence variant interpretation in early-onset cardiac conduction system diseases

Authors: Kenshi Hayashi; Ryota Teramoto; Akihiro Nomura; Yoshihiro Asano; Manu Beerens; Yasutaka Kurata; Isao Kobayashi; +38 Authors

Impact of functional studies on exome sequence variant interpretation in early-onset cardiac conduction system diseases

Abstract

Abstract Aims The genetic cause of cardiac conduction system disease (CCSD) has not been fully elucidated. Whole-exome sequencing (WES) can detect various genetic variants; however, the identification of pathogenic variants remains a challenge. We aimed to identify pathogenic or likely pathogenic variants in CCSD patients by using WES and 2015 American College of Medical Genetics and Genomics (ACMG) standards and guidelines as well as evaluating the usefulness of functional studies for determining them. Methods and results We performed WES of 23 probands diagnosed with early-onset (<65 years) CCSD and analysed 117 genes linked to arrhythmogenic diseases or cardiomyopathies. We focused on rare variants (minor allele frequency < 0.1%) that were absent from population databases. Five probands had protein truncating variants in EMD and LMNA which were classified as ‘pathogenic’ by 2015 ACMG standards and guidelines. To evaluate the functional changes brought about by these variants, we generated a knock-out zebrafish with CRISPR-mediated insertions or deletions of the EMD or LMNA homologs in zebrafish. The mean heart rate and conduction velocities in the CRISPR/Cas9-injected embryos and F2 generation embryos with homozygous deletions were significantly decreased. Twenty-one variants of uncertain significance were identified in 11 probands. Cellular electrophysiological study and in vivo zebrafish cardiac assay showed that two variants in KCNH2 and SCN5A, four variants in SCN10A, and one variant in MYH6 damaged each gene, which resulted in the change of the clinical significance of them from ‘Uncertain significance’ to ‘Likely pathogenic’ in six probands. Conclusion Of 23 CCSD probands, we successfully identified pathogenic or likely pathogenic variants in 11 probands (48%). Functional analyses of a cellular electrophysiological study and in vivo zebrafish cardiac assay might be useful for determining the pathogenicity of rare variants in patients with CCSD. SCN10A may be one of the major genes responsible for CCSD.

Keywords

Adult, Male, ERG1 Potassium Channel, Action Potentials, Cardiac Conduction System Disease, Gene Frequency, Japan, Heart Rate, Animals, Humans, CRISPR/Cas9-mediated gene knock-out in zebrafish, ASSAY, Computer Simulation, Genetic Predisposition to Disease, Age of Onset, 2015 ACMG standards and guidelines, MUTATION, Genetic Association Studies, Aged, CONSEQUENCES, HYPERTROPHIC CARDIOMYOPATHY, Whole exome sequencing, Biology and Life Sciences, Genetic Variation, Membrane Proteins, Lamin Type A, GENE, LONG QT SYNDROME, Case-Control Studies, Female, Cellular electrophysiological study, Cardiac conduction-system disease

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    Top 10%
    influence
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    impulse
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
14
Top 10%
Average
Top 10%
Green
hybrid