↓ Skip to main content

PLOS

Exome Analysis of Two Limb-Girdle Muscular Dystrophy Families: Mutations Identified and Challenges Encountered

Overview of attention for article published in PLOS ONE, November 2012
Altmetric Badge

Mentioned by

facebook
1 Facebook page

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
34 Mendeley
Title
Exome Analysis of Two Limb-Girdle Muscular Dystrophy Families: Mutations Identified and Challenges Encountered
Published in
PLOS ONE, November 2012
DOI 10.1371/journal.pone.0048864
Pubmed ID
Authors

Kristin K. McDonald, Jeffrey Stajich, Colette Blach, Allison E. Ashley-Koch, Michael A. Hauser

Abstract

The molecular diagnosis of muscle disorders is challenging: genetic heterogeneity (>100 causal genes for skeletal and cardiac muscle disease) precludes exhaustive clinical testing, prioritizing sequencing of specific genes is difficult due to the similarity of clinical presentation, and the number of variants returned through exome sequencing can make the identification of the disease-causing variant difficult. We have filtered variants found through exome sequencing by prioritizing variants in genes known to be involved in muscle disease while examining the quality and depth of coverage of those genes. We ascertained two families with autosomal dominant limb-girdle muscular dystrophy of unknown etiology. To identify the causal mutations in these families, we performed exome sequencing on five affected individuals using the Agilent SureSelect Human All Exon 50 Mb kit and the Illumina HiSeq 2000 (2×100 bp). We identified causative mutations in desmin (IVS3+3A>G) and filamin C (p.W2710X), and augmented the phenotype data for individuals with muscular dystrophy due to these mutations. We also discuss challenges encountered due to depth of coverage variability at specific sites and the annotation of a functionally proven splice site variant as an intronic variant.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Spain 1 3%
Unknown 32 94%

Demographic breakdown

Readers by professional status Count As %
Other 8 24%
Student > Ph. D. Student 7 21%
Researcher 4 12%
Student > Master 3 9%
Student > Bachelor 2 6%
Other 6 18%
Unknown 4 12%
Readers by discipline Count As %
Medicine and Dentistry 14 41%
Agricultural and Biological Sciences 12 35%
Biochemistry, Genetics and Molecular Biology 3 9%
Neuroscience 1 3%
Unknown 4 12%