Copy number variations and cancer
Open accessAbstract
DNA copy number variations (CNVs) are an important component of genetic variation, affecting a greater fraction of the genome than single nucleotide polymorphisms (SNPs). The advent of high-resolution SNP arrays has made it possible to identify CNVs. Characterization of widespread constitutional (germline) CNVs has provided insight into their role in susceptibility to a wide spectrum of diseases, and somatic CNVs can be used to identify regions of the genome involved in disease phenotypes. The role of CNVs as risk factors for cancer is currently underappreciated. However, the genomic instability and structural dynamism that characterize cancer cells would seem to make this form of genetic variation particularly intriguing to study in cancer. Here, we provide a detailed overview of the current understanding of the CNVs that arise in the human genome and explore the emerging literature that reveals associations of both constitutional and somatic CNVs with a wide variety of human cancers.
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CNV measurements are used for routine screening in clinical diagnostics and their analysis can assist in subsequent prognostic monitoring.
“CNV measurements are used for routine screening in clinical diagnostics and their analysis can assist in subsequent prognostic monitoring (6,7).”
From Comparison of microfluidic digital PCR and conventional quantitative PCR for measuring copy number variation (2012) · cites this paper as [6]
The Conclusions and perspectives section says cancer CNVs may become biomarkers of cancer progression and metastases, which supports a potential prognostic use. It frames that value as prospective, however, and does not say CNV measurement is used for routine clinical screening or subsequent prognostic monitoring. Page numbers are unavailable in our copy. (LLM, conf=0.83)
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Whale, A. S., Huggett, J. F., Cowen, S., Speirs, V., Shaw, J., Ellison, S., Foy, C. A., & Scott, D. J. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks203 · Cited by 453 · see citing works
“CNV measurements are used for routine screening in clinical diagnostics and their analysis can assist in subsequent prognostic monitoring (6,7).”
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- Authors
- Shlien, A., & Malkin, D.
- Affiliations
- University of Toronto (CA)
- Corresponding author
- Malkin, David
- Venue
- Genome Medicine
- Published
- 2009
- Volume
- 1
- Issue
- 6
- Pages
- 62
- ISSN
- 1756-994X (ISSN-L)
- DOI
- 10.1186/gm62
- PMC
- PMC2703871
- OpenAlex
- W2107751484
- Cited by
- 386
- References
- 71
- Citations by year
- 2026: 13 · 2025: 18 · 2024: 37 · 2023: 20 · 2022: 41 · 2021: 38 · 2020: 28 · 2019: 31 · 2018: 33 · 2017: 22 · 2016: 17 · 2015: 22 · 2014: 10 · 2013: 17 · 2012: 10
- FWCI
- 7.41
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Genome Medicine (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomic variations and chromosomal abnormalities
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genome Rearrangement Algorithms
- Keywords
- copy number variation, cancer susceptibility, genomic instability, cancer risk factors, genetic variation, SNP array
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