Background: Recent studies have shown that copy number variations (CNVs) are frequent in higher eukaryotes and associated with a substantial portion of inherited and acquired risk for various human diseases. The increasing availability of high-resolution genome surveillance platforms provides opportunity for rapidly assessing research and clinical samples for CNV content, as well as for determining the potential pathogenicity of identified variants. However, few informatics tools for accurate and efficient CNV detection and assessment currently exist.
Results: We developed a suite of software tools and resources (CNV Workshop) for automated, genome-wide CNV detection from a variety of SNP array platforms. CNV Workshop includes three major components: detection, annotation, and presentation of structural variants from genome array data. CNV detection utilizes a robust and genotype-specific extension of the Circular Binary Segmentation algorithm, and the use of additional detection algorithms is supported. Predicted CNVs are captured in a MySQL database that supports cohort-based projects and incorporates a secure user authentication layer and user/admin roles. To assist with determination of pathogenicity, detected CNVs are also annotated automatically for gene content, known disease loci, and gene-based literature references. Results are easily queried, sorted, filtered, and visualized via a web-based presentation layer that includes a GBrowse-based graphical representation of CNV content and relevant public data, integration with the UCSC Genome Browser, and tabular displays of genomic attributes for each CNV.
Conclusions: To our knowledge, CNV Workshop represents the first cohesive and convenient platform for detection, annotation, and assessment of the biological and clinical significance of structural variants. CNV Workshop has been successfully utilized for assessment of genomic variation in healthy individuals and disease cohorts and is an ideal platform for coordinating multiple associated projects.
Availability And Implementation: Available on the web at: http://sourceforge.net/projects/cnv.
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http://dx.doi.org/10.1186/1471-2105-11-74 | DOI Listing |
Clin Genet
January 2025
Obstetrics and Gynecology Department, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Intellectual and developmental disabilities (IDD) are clinically and genetically heterogeneous disorders of global concern. While whole exome sequencing (WES) is used to identify single nucleotide variants (SNVs) and small insertions/deletions (Indels) in IDD patients, its detection rate is limited. This study evaluated the value of integrating copy number variation (CNV) analysis into traditional SNV/Indel analysis based on trio-WES.
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December 2024
Division of Molecular Medicine, St John's Research Institute, St John's National Academy of Health Sciences (a Unit of CBCI Society for Medical Education), Bangalore 560034, Karnataka, India.
Real time-polymerase chain reaction (RT-PCR) is used routinely in clinical practice as a cost-effective method for molecular diagnostics. Research in pediatric B-cell Acute Lymphoblastic Leukemia (ped B-ALL) suggests that apart from cytogenetics and clinical features, there is a need to include Copy number variation (CNV) in select genes at diagnosis, for upfront stratification of patients. Using ped B-ALL as a model, we have developed a RT-PCR-based iterative probability scoring method for reporting CNVs, and relative gene-expression changes.
View Article and Find Full Text PDFGenes (Basel)
November 2024
Department of Immunology, School of Medicine, Nantong University, Nantong 226019, China.
Background: (Iron-Sulfur Cluster Assembly 1) is involved in the assembly of iron-sulfur (Fe-S) clusters, which are vital for electron transport and enzyme activity. Some studies suggest the potential involvement of in tumor progression through interactions with ferroptosis-related genes (FRGs) and the tumor immune microenvironment (TME). However, there has been no systematic analysis of its role in FRGs and the TME or its predictive value for prognosis and immunotherapy response across different cancer types.
View Article and Find Full Text PDFPLoS One
January 2025
Nuffield Department of Surgical Sciences, University of Oxford, Oxford, United Kingdom.
Epithelial cancers are typically heterogeneous with primary prostate cancer being a typical example of histological and genomic variation. Prior studies of primary prostate cancer tumour genetics revealed extensive inter and intra-patient genomic tumour heterogeneity. Recent advances in machine learning have enabled the inference of ground-truth genomic single-nucleotide and copy number variant status from transcript data.
View Article and Find Full Text PDFEur J Hum Genet
December 2024
Institute of Human Genetics, University of Bonn, School of Medicine & University Hospital Bonn, Bonn, Germany.
Orofacial clefting (OFC) is a frequent congenital anomaly and can occur either in the context of underlying syndromes or in isolation (nonsyndromic). The two common OFC phenotypes are cleft lip with/without cleft palate (CL/P) and cleft palate only (CPO). In this study, we searched for penetrant CL/P genes, by evaluating de novo copy number variants (CNV) from an exome sequencing dataset of 50 nonsyndromic patient-parent trios.
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