Literature DB >> 29501670

Amino acid-level signal-to-noise analysis of incidentally identified variants in genes associated with long QT syndrome during pediatric whole exome sequencing reflects background genetic noise.

Andrew P Landstrom1, Ernesto Fernandez2, Jill A Rosenfeld3, Yaping Yang3, Andrew L Dailey-Schwartz2, Christina Y Miyake2, Hugh D Allen2, Daniel J Penny2, Jeffrey J Kim2.   

Abstract

BACKGROUND: Due to rapid expansion of clinical genetic testing, an increasing number of genetic variants of undetermined significance and unclear diagnostic value are being identified in children. Variants found in genes associated with heritable channelopathies, such as long QT syndrome (LQTS), are particularly difficult to interpret given the risk of sudden cardiac death associated with pathologic mutations.
OBJECTIVE: The purpose of this study was to determine whether variants in LQTS-associated genes from whole exome sequencing (WES) represent disease-associated biomarkers or background genetic "noise."
METHODS: WES variants from Baylor Genetics Laboratories were obtained for 17 LQTS-associated genes. Rare variants from healthy controls were obtained from the GnomAD database. LQTS case variants were extracted from the literature. Amino acid-level mapping and signal-to-noise calculations were conducted. Clinical history and diagnostic studies were analyzed for WES subjects evaluated at our institution.
RESULTS: Variants in LQTS case-associated genes were present in 38.3% of 7244 WES probands. There was a similar frequency of variants in the WES and healthy cohorts for LQTS1-3 (11.2% and 12.9%, respectively) and LQTS4-17 (27.1% and 38.4%, respectively). WES variants preferentially localized to amino acids altered in control individuals compared to cases. Based on amino acid-level analysis, WES-identified variants are indistinguishable from healthy background variation, whereas LQTS1 and 2 case-identified variants localized to clear pathologic "hotspots." No individuals who underwent clinical evaluation had clinical suspicion for LQTS.
CONCLUSION: The prevalence of incidentally identified LQTS-associated variants is ∼38% among WES tests. These variants most likely represent benign healthy background genetic variation rather than disease-associated mutations.
Copyright © 2018 Heart Rhythm Society. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Genetic testing; Genetics; Long QT syndrome; Mutation; Variant of undetermined significance; Whole exome sequencing

Mesh:

Substances:

Year:  2018        PMID: 29501670      PMCID: PMC6026069          DOI: 10.1016/j.hrthm.2018.02.031

Source DB:  PubMed          Journal:  Heart Rhythm        ISSN: 1547-5271            Impact factor:   6.343


  24 in total

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Authors:  Peter J Schwartz; Marco Stramba-Badiale; Lia Crotti; Matteo Pedrazzini; Alessandra Besana; Giuliano Bosi; Fulvio Gabbarini; Karine Goulene; Roberto Insolia; Savina Mannarino; Fabio Mosca; Luigi Nespoli; Alessandro Rimini; Enrico Rosati; Patrizia Salice; Carla Spazzolini
Journal:  Circulation       Date:  2009-10-19       Impact factor: 29.690

2.  Compendium of cardiac channel mutations in 541 consecutive unrelated patients referred for long QT syndrome genetic testing.

Authors:  David J Tester; Melissa L Will; Carla M Haglund; Michael J Ackerman
Journal:  Heart Rhythm       Date:  2005-05       Impact factor: 6.343

3.  Spectrum of mutations in long-QT syndrome genes. KVLQT1, HERG, SCN5A, KCNE1, and KCNE2.

Authors:  I Splawski; J Shen; K W Timothy; M H Lehmann; S Priori; J L Robinson; A J Moss; P J Schwartz; J A Towbin; G M Vincent; M T Keating
Journal:  Circulation       Date:  2000-09-05       Impact factor: 29.690

4.  Molecular findings among patients referred for clinical whole-exome sequencing.

Authors:  Yaping Yang; Donna M Muzny; Fan Xia; Zhiyv Niu; Richard Person; Yan Ding; Patricia Ward; Alicia Braxton; Min Wang; Christian Buhay; Narayanan Veeraraghavan; Alicia Hawes; Theodore Chiang; Magalie Leduc; Joke Beuten; Jing Zhang; Weimin He; Jennifer Scull; Alecia Willis; Megan Landsverk; William J Craigen; Mir Reza Bekheirnia; Asbjorg Stray-Pedersen; Pengfei Liu; Shu Wen; Wendy Alcaraz; Hong Cui; Magdalena Walkiewicz; Jeffrey Reid; Matthew Bainbridge; Ankita Patel; Eric Boerwinkle; Arthur L Beaudet; James R Lupski; Sharon E Plon; Richard A Gibbs; Christine M Eng
Journal:  JAMA       Date:  2014-11-12       Impact factor: 56.272

Review 5.  Long QT syndrome: novel insights into the mechanisms of cardiac arrhythmias.

Authors:  Robert S Kass; Arthur J Moss
Journal:  J Clin Invest       Date:  2003-09       Impact factor: 14.808

6.  High-risk long QT syndrome mutations in the Kv7.1 (KCNQ1) pore disrupt the molecular basis for rapid K(+) permeation.

Authors:  Don E Burgess; Daniel C Bartos; Allison R Reloj; Kenneth S Campbell; Jonathan N Johnson; David J Tester; Michael J Ackerman; Véronique Fressart; Isabelle Denjoy; Pascale Guicheney; Arthur J Moss; Seiko Ohno; Minoru Horie; Brian P Delisle
Journal:  Biochemistry       Date:  2012-11-02       Impact factor: 3.162

7.  Mutations in conserved amino acids in the KCNQ1 channel and risk of cardiac events in type-1 long-QT syndrome.

Authors:  Christian Jons; Arthur J Moss; Coeli M Lopes; Scott McNitt; Wojciech Zareba; Ilan Goldenberg; Ming Qi; Arthur A M Wilde; Wataru Shimizu; Jorgen K Kanters; Jeffrey A Towbin; Michael J Ackerman; Jennifer L Robinson
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8.  Distinguishing hypertrophic cardiomyopathy-associated mutations from background genetic noise.

Authors:  Jamie D Kapplinger; Andrew P Landstrom; J Martijn Bos; Benjamin A Salisbury; Thomas E Callis; Michael J Ackerman
Journal:  J Cardiovasc Transl Res       Date:  2014-02-08       Impact factor: 4.132

9.  Results of genetic testing in 855 consecutive unrelated patients referred for long QT syndrome in a clinical laboratory.

Authors:  Krystien V Lieve; Leah Williams; Amy Daly; Gabriele Richard; Sherri Bale; Daniela Macaya; Wendy K Chung
Journal:  Genet Test Mol Biomarkers       Date:  2013-04-30

10.  A molecular basis for cardiac arrhythmia: HERG mutations cause long QT syndrome.

Authors:  M E Curran; I Splawski; K W Timothy; G M Vincent; E D Green; M T Keating
Journal:  Cell       Date:  1995-03-10       Impact factor: 41.582

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3.  GENESIS: Gene-Specific Machine Learning Models for Variants of Uncertain Significance Found in Catecholaminergic Polymorphic Ventricular Tachycardia and Long QT Syndrome-Associated Genes.

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4.  Signal-to-Noise Analysis Can Inform the Likelihood That Incidentally Identified Variants in Sarcomeric Genes Are Associated with Pediatric Cardiomyopathy.

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5.  Interpretation of Incidental Genetic Findings Localizing to Genes Associated With Cardiac Channelopathies and Cardiomyopathies.

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6.  Analysis of enriched rare variants in JPH2-encoded junctophilin-2 among Greater Middle Eastern individuals reveals a novel homozygous variant associated with neonatal dilated cardiomyopathy.

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Journal:  Sci Rep       Date:  2019-06-21       Impact factor: 4.379

7.  Incidentally identified genetic variants in arrhythmogenic right ventricular cardiomyopathy-associated genes among children undergoing exome sequencing reflect healthy population variation.

Authors:  Andrew T Headrick; Jill A Rosenfeld; Yaping Yang; Hari Tunuguntla; Hugh D Allen; Daniel J Penny; Jeffrey J Kim; Andrew P Landstrom
Journal:  Mol Genet Genomic Med       Date:  2019-04-15       Impact factor: 2.183

8.  Amino Acid-Level Signal-to-Noise Analysis Aids in Pathogenicity Prediction of Incidentally Identified TTN-Encoded Titin Truncating Variants.

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