Literature DB >> 27681629

Early somatic mosaicism is a rare cause of long-QT syndrome.

James Rush Priest1, Charles Gawad2, Kristopher M Kahlig3, Joseph K Yu4, Thomas O'Hara5, Patrick M Boyle4, Sridharan Rajamani3, Michael J Clark6, Sarah T K Garcia6, Scott Ceresnak1, Jason Harris6, Sean Boyle6, Frederick E Dewey7, Lindsey Malloy-Walton1, Kyla Dunn8, Megan Grove7, Marco V Perez7, Norma F Neff9, Richard Chen6, Katsuhide Maeda10, Anne Dubin1, Luiz Belardinelli3, John West6, Christian Antolik11, Daniela Macaya11, Thomas Quertermous7, Natalia A Trayanova4, Stephen R Quake12, Euan A Ashley13.   

Abstract

Somatic mosaicism, the occurrence and propagation of genetic variation in cell lineages after fertilization, is increasingly recognized to play a causal role in a variety of human diseases. We investigated the case of life-threatening arrhythmia in a 10-day-old infant with long QT syndrome (LQTS). Rapid genome sequencing suggested a variant in the sodium channel NaV1.5 encoded by SCN5A, NM_000335:c.5284G > T predicting p.(V1762L), but read depth was insufficient to be diagnostic. Exome sequencing of the trio confirmed read ratios inconsistent with Mendelian inheritance only in the proband. Genotyping of single circulating leukocytes demonstrated the mutation in the genomes of 8% of patient cells, and RNA sequencing of cardiac tissue from the infant confirmed the expression of the mutant allele at mosaic ratios. Heterologous expression of the mutant channel revealed significantly delayed sodium current with a dominant negative effect. To investigate the mechanism by which mosaicism might cause arrhythmia, we built a finite element simulation model incorporating Purkinje fiber activation. This model confirmed the pathogenic consequences of cardiac cellular mosaicism and, under the presenting conditions of this case, recapitulated 2:1 AV block and arrhythmia. To investigate the extent to which mosaicism might explain undiagnosed arrhythmia, we studied 7,500 affected probands undergoing commercial gene-panel testing. Four individuals with pathogenic variants arising from early somatic mutation events were found. Here we establish cardiac mosaicism as a causal mechanism for LQTS and present methods by which the general phenomenon, likely to be relevant for all genetic diseases, can be detected through single-cell analysis and next-generation sequencing.

Entities:  

Keywords:  arrhythmia; computational modeling; genomics; mosaicism; single cell

Mesh:

Substances:

Year:  2016        PMID: 27681629      PMCID: PMC5068256          DOI: 10.1073/pnas.1607187113

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  65 in total

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Journal:  Sci Transl Med       Date:  2012-10-03       Impact factor: 17.956

4.  Clinical diagnosis by whole-genome sequencing of a prenatal sample.

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8.  The cardiac sodium channel mutation delQKP 1507-1509 is associated with the expanding phenotypic spectrum of LQT3, conduction disorder, dilated cardiomyopathy, and high incidence of youth sudden death.

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Journal:  Genome Med       Date:  2015-09-30       Impact factor: 11.117

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Review 3.  Imaging-Based Simulations for Predicting Sudden Death and Guiding Ventricular Tachycardia Ablation.

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Review 4.  Somatic Mutations in Cardiovascular Disease.

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Review 5.  The Dynamics of Somatic Mutagenesis During Life in Humans.

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6.  Predicting critical drug concentrations and torsadogenic risk using a multiscale exposure-response simulator.

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7.  Robust identification of mosaic variants in congenital heart disease.

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8.  Personalized Imaging and Modeling Strategies for Arrhythmia Prevention and Therapy.

Authors:  Natalia A Trayanova; Patrick M Boyle; Plamen P Nikolov
Journal:  Curr Opin Biomed Eng       Date:  2018-03

Review 9.  Computational models in cardiology.

Authors:  Steven A Niederer; Joost Lumens; Natalia A Trayanova
Journal:  Nat Rev Cardiol       Date:  2019-02       Impact factor: 32.419

10.  Accurate genomic variant detection in single cells with primary template-directed amplification.

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Journal:  Proc Natl Acad Sci U S A       Date:  2021-06-15       Impact factor: 11.205

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