Literature DB >> 19056483

Detecting copy number variations in autosomal recessive limb-girdle muscular dystrophies using a multiplex ligation-dependent probe amplification (MLPA) assay.

Verena Wildförster1, Gabriele Dekomien.   

Abstract

Pathogenic mutations in the four sarcoglycan genes, designated SGCA, SGCB, SGCD and SGCG, are responsible for a subgroup of autosomal, recessive limb-girdle muscular dystrophies (LGMD 2C-F), also called sarcoglycanopathies. For the present study, we designed a multiplex ligation-dependent probe amplification (MLPA) assay, targeting all 30 coding exons and a non-coding exon of these four genes. The assay uses synthetic probes and two colours, such that as many as 28 probes can be combined into one reaction. The set of probes was established for routine application, in order to diagnostically screen patients for large duplications or deletions. In 14 of the 94 cases (15%) tested, we detected changes in copy number. Mutations in gene SGCG accounted for 7 of the 94 cases (8%), suggesting that the size of the gene makes it vulnerable to large exonic deletions. The results suggested that all cases of sarcoglycanopathy should be screened for changes in copy number. The MLPA was shown to be a rapid, robust and reliable method to screen for copy number variations (CNVs). The present synthetic probe-approach overcomes the limitations associated with cloning procedures and is particularly applicable to a range of diseases for which the number of patients to be tested is small.

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Year:  2008        PMID: 19056483     DOI: 10.1016/j.mcp.2008.11.002

Source DB:  PubMed          Journal:  Mol Cell Probes        ISSN: 0890-8508            Impact factor:   2.365


  7 in total

1.  Identification of an intragenic deletion in the SGCB gene through a re-evaluation of negative next generation sequencing results.

Authors:  Teresa Giugliano; Marina Fanin; Marco Savarese; Giulio Piluso; Corrado Angelini; Vincenzo Nigro
Journal:  Neuromuscul Disord       Date:  2016-03-31       Impact factor: 4.296

2.  Clinical and genetic spectrum of a large cohort of patients with δ-sarcoglycan muscular dystrophy.

Authors:  Jorge Alonso-Pérez; Lidia González-Quereda; Claudio Bruno; Chiara Panicucci; Afagh Alavi; Shahriar Nafissi; Yalda Nilipour; Edmar Zanoteli; Lucas Michielon de Augusto Isihi; Béla Melegh; Kinga Hadzsiev; Nuria Muelas; Juan J Vílchez; Mario Emilio Dourado; Naz Kadem; Gultekin Kutluk; Muhammad Umair; Muhammad Younus; Elena Pegorano; Luca Bello; Thomas O Crawford; Xavier Suárez-Calvet; Ana Töpf; Michela Guglieri; Chiara Marini-Bettolo; Pia Gallano; Volker Straub; Jordi Díaz-Manera
Journal:  Brain       Date:  2022-04-18       Impact factor: 15.255

3.  DOCK3 is a dosage-sensitive regulator of skeletal muscle and Duchenne muscular dystrophy-associated pathologies.

Authors:  Andrea L Reid; Yimin Wang; Adrienne Samani; Rylie M Hightower; Michael A Lopez; Shawn R Gilbert; Lara Ianov; David K Crossman; Louis J Dell'Italia; Douglas P Millay; Thomas van Groen; Ganesh V Halade; Matthew S Alexander
Journal:  Hum Mol Genet       Date:  2020-10-10       Impact factor: 6.150

Review 4.  Advances in ligase chain reaction and ligation-based amplifications for genotyping assays: Detection and applications.

Authors:  Abdullah A Gibriel; Ola Adel
Journal:  Mutat Res Rev Mutat Res       Date:  2017-05-02       Impact factor: 5.657

5.  Mutational spectrum of autosomal recessive limb-girdle muscular dystrophies in a cohort of 112 Iranian patients and reporting of a possible founder effect.

Authors:  Marzieh Mojbafan; Reza Bahmani; Samira Dabbagh Bagheri; Zohreh Sharifi; Sirous Zeinali
Journal:  Orphanet J Rare Dis       Date:  2020-01-14       Impact factor: 4.123

6.  Automated DNA mutation detection using universal conditions direct sequencing: application to ten muscular dystrophy genes.

Authors:  Richard R Bennett; Hal E Schneider; Elicia Estrella; Stephanie Burgess; Andrew S Cheng; Caitlin Barrett; Va Lip; Poh San Lai; Yiping Shen; Bai-Lin Wu; Basil T Darras; Alan H Beggs; Louis M Kunkel
Journal:  BMC Genet       Date:  2009-10-18       Impact factor: 2.797

7.  Parkin is the most common causative gene in a cohort of mainland Chinese patients with sporadic early-onset Parkinson's disease.

Authors:  Yanyan Jiang; Meng Yu; Jing Chen; Hong Zhou; Wei Sun; Yunchuang Sun; Fan Li; Luhua Wei; Elmar H Pinkhardt; Lin Zhang; Yun Yuan; Zhaoxia Wang
Journal:  Brain Behav       Date:  2020-07-16       Impact factor: 2.708

  7 in total

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