Literature DB >> 22885918

Repeat long QT syndrome genetic testing of phenotype-positive cases: prevalence and etiology of detection misses.

Morgan M Medlock1, David J Tester, Melissa L Will, J Martijn Bos, Michael J Ackerman.   

Abstract

BACKGROUND: Approximately 75% of long QT syndrome (LQTS) has been explained genetically through research-based and, more recently, commercial genetic testing. While novel LQTS-susceptibility genes or mutations in unexplored regions of known genes underlie the genetic mechanism for some of the 25% "genotype-negative" remnant, it is likely that some cases represent false-negative test results owing to mutation detection failures.
OBJECTIVE: To determine the prevalence and etiology of false negatives that occurred with research-based mutational analysis involving denaturing high-performance liquid chromatography (DHPLC) followed by DNA sequencing (DHPLC-SEQ) in our previously published cohort of unrelated patients referred for LQTS genetic testing.
METHODS: Forty-four LQTS cases (29 men, average age 23 ± 15 years, average corrected QT interval 516 ± 56 ms) deemed genotype negative following DHPLC-SEQ were selected for repeat genetic testing using direct DNA sequencing.
RESULTS: LQTS-causing mutations were identified in 7 of 44 (16%) phenotype-positive/previously genotype-negative subjects, including 4 mutations in KCNQ1 (S225L, G568R, R591H, and R594Q), 2 in KCNH2 (H70R and G925R), and 1 in SCN5A (V411M). None of these variants were seen in more than 2600 reference alleles. Analysis of the misses revealed (1) normal DHPLC detection profile in 2, (2) allelic dropout in 2, (3) failure to correctly optimize DHPLC conditions in 1, and (4) failure to detect abnormal DHPLC signal in 2.
CONCLUSIONS: Repeat genetic testing using direct DNA sequencing may be warranted for LQTS phenotype-positive individuals who were pronounced genotype negative during the decade of research-based mutational analysis that involved intermediate mutation detection methods such as DHPLC.
Copyright © 2012 Heart Rhythm Society. Published by Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22885918     DOI: 10.1016/j.hrthm.2012.08.010

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


  10 in total

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2.  Reduced Uptake of Family Screening in Genotype-Negative Versus Genotype-Positive Long QT Syndrome.

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Review 3.  Use of contemporary genetics in cardiovascular diagnosis.

Authors:  Alfred L George
Journal:  Circulation       Date:  2014-11-25       Impact factor: 29.690

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Review 5.  CONGENITAL LONG QT SYNDROME: A SYSTEMATIC REVIEW.

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Review 6.  Impact of genetics on the clinical management of channelopathies.

Authors:  Peter J Schwartz; Michael J Ackerman; Alfred L George; Arthur A M Wilde
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7.  Allelic Dropout Is a Common Phenomenon That Reduces the Diagnostic Yield of PCR-Based Sequencing of Targeted Gene Panels.

Authors:  Anna G Shestak; Anna A Bukaeva; Siamak Saber; Elena V Zaklyazminskaya
Journal:  Front Genet       Date:  2021-02-01       Impact factor: 4.599

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Review 9.  Management of Congenital Long-QT Syndrome: Commentary From the Experts.

Authors:  Lee L Eckhardt; Elizabeth S Kaufman; Michael J Ackerman; Peter F Aziz; Elijah R Behr; Marina Cerrone; Mina K Chung; Michael J Cutler; Susan P Etheridge; Andrew D Krahn; Steven A Lubitz; Marco V Perez; Silvia G Priori; Jason D Roberts; Dan M Roden; Eric Schulze-Bahr; Peter J Schwartz; Wataru Shimizu; M Benjamin Shoemaker; Raymond W Sy; Jeffrey A Towbin; Sami Viskin; Arthur A M Wilde; Wojciech Zareba
Journal:  Circ Arrhythm Electrophysiol       Date:  2021-07-09

10.  Electrocardiogram as a predictor of sudden cardiac death in middle-aged subjects without a known cardiac disease.

Authors:  Henri K Terho; Jani T Tikkanen; Tuomas V Kenttä; Juhani M Junttila; Aapo L Aro; Olli Anttonen; Tuomas Kerola; Harri A Rissanen; Paul Knekt; Heikki V Huikuri
Journal:  Int J Cardiol Heart Vasc       Date:  2018-08-26
  10 in total

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