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Molecular characterization of ring chromosome 18 by low-coverage next generation sequencing

Overview of attention for article published in BMC Medical Genomics, July 2015
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Title
Molecular characterization of ring chromosome 18 by low-coverage next generation sequencing
Published in
BMC Medical Genomics, July 2015
DOI 10.1186/s12881-015-0206-x
Pubmed ID
Authors

Xiuqing Ji, Dong Liang, Ruihong Sun, Cuiyun Liu, Dingyuan Ma, Yan Wang, Ping Hu, Zhengfeng Xu

Abstract

Ring chromosomes are one category of structurally abnormal chromosomes that can lead to severe growth retardation and other clinical defects. Traditionally, their diagnosis and characterization has largely relied on conventional cytogenetics and fluorescence in situ hybridization, array-based comparative genomic hybridization and single nucleotide polymorphism array-based comparative genomic hybridization. However, these methods are ineffectively at characterizing the ring chromosome structure and only offer a low resolution mapping of breakpoints. Here, we applied whole-genome low-coverage paired-end next generation sequencing (NGS) to two suspected cases of ring chromosome 18 (r(18)) and characterized the ring structure including the chromosome dosage changes and the breakpoint junction. The breakpoints and chromosome copy number variations (CNVs) of r(18) were characterized by whole-genome low-coverage paired-end NGS. We confirmed the dosage change by single nucleotide polymorphisms array, and validated the junction site regions using PCR followed by Sanger sequencing. We successfully and fully characterized the r(18) in two cases by NGS. We mapped the breakpoints with a high resolution and identified all CNVs in both cases. We analyzed the breakpoint regions and discovered two breakpoints located within repetitive sequence regions, and two near the repetitive sequence regions. One of the breakpoints in case 2 was located within the gene METTL4, while the other breakpoints were intergenic. We demonstrated that whole-genome low-coverage paired-end NGS can be used directly to map breakpoints with a high molecular resolution and detect all CNVs on r(18). This approach will provide new insights into the genotype-phenotype correlations on r(18) and the underlying mechanism of ring chromosomes formation. Our results also demonstrate that this can be a powerful approach for the diagnosis and characterization of ring chromosomes in the clinic.

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The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 30%
Student > Master 3 15%
Student > Doctoral Student 2 10%
Student > Ph. D. Student 2 10%
Student > Bachelor 2 10%
Other 1 5%
Unknown 4 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 45%
Biochemistry, Genetics and Molecular Biology 5 25%
Neuroscience 1 5%
Unknown 5 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 July 2015.
All research outputs
#22,759,452
of 25,374,647 outputs
Outputs from BMC Medical Genomics
#2,010
of 2,444 outputs
Outputs of similar age
#235,027
of 274,993 outputs
Outputs of similar age from BMC Medical Genomics
#57
of 65 outputs
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