Literature DB >> 24183960

DNA sequence capture and next-generation sequencing for the molecular diagnosis of genetic cardiomyopathies.

Valeria D'Argenio1, Giulia Frisso1, Vincenza Precone1, Angelo Boccia2, Antonella Fienga3, Giuseppe Pacileo4, Giuseppe Limongelli4, Giovanni Paolella1, Raffaele Calabrò4, Francesco Salvatore5.   

Abstract

Hypertrophic cardiomyopathy is a relatively frequent disease with a prevalence of 0.2% worldwide and a remarkable genetic heterogeneity, with more than 30 causative genes reported to date. Current PCR-based strategies are inadequate for genomic investigations involving many candidate genes. Here, we report a next-generation sequencing procedure associated with DNA sequence capture that is able to sequence 202 cardiomyopathy-related genes simultaneously. We developed a complementary data analysis pipeline to select and prioritize genetic variants. The overall procedure can screen a large number of target genes simultaneously, thereby potentially revealing new disease-causing and modifier genes. By using this procedure, we analyzed hypertrophic cardiomyopathy patients in a shorter time and at a lower cost than with current procedures. The specificity of the next-generation sequencing-based procedure is at least as good as other techniques routinely used for mutation searching, and the sensitivity is much better. Analysis of the results showed some novel variants potentially involved in the pathogenesis of hypertrophic cardiomyopathy: a missense mutation in MYH7 and a nonsense variant in INS-IGF2 (patient 1), a splicing variant in MYBPC3 and an indel/frameshift variant in KCNQ1 (patient 2), and two concomitant variations in CACNA1C (patient 3). Sequencing of DNA from the three patients within a pool allowed detection of most variants identified in each individual patient, indicating that this approach is a feasible and cost-effective procedure.
Copyright © 2014 American Society for Investigative Pathology and the Association for Molecular Pathology. Published by Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 24183960     DOI: 10.1016/j.jmoldx.2013.07.008

Source DB:  PubMed          Journal:  J Mol Diagn        ISSN: 1525-1578            Impact factor:   5.568


  14 in total

Review 1.  Personalized Management of Cardiovascular Disorders.

Authors:  Kewal K Jain
Journal:  Med Princ Pract       Date:  2017-09-11       Impact factor: 1.927

2.  Novel Phenotype-Genotype Correlations of Restrictive Cardiomyopathy With Myosin-Binding Protein C (MYBPC3) Gene Mutations Tested by Next-Generation Sequencing.

Authors:  Wei Wu; Chao-Xia Lu; Yi-Ning Wang; Fang Liu; Wei Chen; Yong-Tai Liu; Ye-Chen Han; Jian Cao; Shu-Yang Zhang; Xue Zhang
Journal:  J Am Heart Assoc       Date:  2015-07-10       Impact factor: 5.501

3.  Arrhythmogenic cardiomyopathy in a patient with a rare loss-of-function KCNQ1 mutation.

Authors:  Qinmei Xiong; Qing Cao; Qiongqiong Zhou; Jinyan Xie; Yang Shen; Rong Wan; Jianhua Yu; Sujuan Yan; Ali J Marian; Kui Hong
Journal:  J Am Heart Assoc       Date:  2015-01-23       Impact factor: 5.501

4.  Functional Studies and In Silico Analyses to Evaluate Non-Coding Variants in Inherited Cardiomyopathies.

Authors:  Giulia Frisso; Nicola Detta; Pamela Coppola; Cristina Mazzaccara; Maria Rosaria Pricolo; Antonio D'Onofrio; Giuseppe Limongelli; Raffaele Calabrò; Francesco Salvatore
Journal:  Int J Mol Sci       Date:  2016-11-10       Impact factor: 5.923

5.  Contemporary genetic testing in inherited cardiac disease: tools, ethical issues, and clinical applications.

Authors:  Francesca Girolami; Giulia Frisso; Matteo Benelli; Lia Crotti; Maria Iascone; Ruggiero Mango; Cristina Mazzaccara; Kalliope Pilichou; Eloisa Arbustini; Benedetta Tomberli; Giuseppe Limongelli; Cristina Basso; Iacopo Olivotto
Journal:  J Cardiovasc Med (Hagerstown)       Date:  2018-01       Impact factor: 2.160

6.  Familial long QT syndrome and late development of dilated cardiomyopathy in a child with a KCNQ1 mutation: A case report.

Authors:  Kiona Y Allen; Victoria L Vetter; Maully J Shah; Matthew J O'Connor
Journal:  HeartRhythm Case Rep       Date:  2015-12-18

7.  Additional value of screening for minor genes and copy number variants in hypertrophic cardiomyopathy.

Authors:  Irene Mademont-Soler; Jesus Mates; Raquel Yotti; Maria Angeles Espinosa; Alexandra Pérez-Serra; Ana Isabel Fernandez-Avila; Monica Coll; Irene Méndez; Anna Iglesias; Bernat Del Olmo; Helena Riuró; Sofía Cuenca; Catarina Allegue; Oscar Campuzano; Ferran Picó; Carles Ferrer-Costa; Patricia Álvarez; Sergio Castillo; Pablo Garcia-Pavia; Esther Gonzalez-Lopez; Laura Padron-Barthe; Aranzazu Díaz de Bustamante; María Teresa Darnaude; José Ignacio González-Hevia; Josep Brugada; Francisco Fernandez-Aviles; Ramon Brugada
Journal:  PLoS One       Date:  2017-08-03       Impact factor: 3.240

8.  The High-Throughput Analyses Era: Are We Ready for the Data Struggle?

Authors:  Valeria D'Argenio
Journal:  High Throughput       Date:  2018-03-02

Review 9.  Cracking the Code of Human Diseases Using Next-Generation Sequencing: Applications, Challenges, and Perspectives.

Authors:  Vincenza Precone; Valentina Del Monaco; Maria Valeria Esposito; Fatima Domenica Elisa De Palma; Anna Ruocco; Francesco Salvatore; Valeria D'Argenio
Journal:  Biomed Res Int       Date:  2015-11-19       Impact factor: 3.411

10.  Phenotypic diversity identified by cardiac magnetic resonance in a large hypertrophic cardiomyopathy family with a single MYH7 mutation.

Authors:  Jie Wang; Ke Wan; Jiayu Sun; Weihao Li; Hong Liu; Yuchi Han; Yucheng Chen
Journal:  Sci Rep       Date:  2018-01-17       Impact factor: 4.379

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