Current analysis platforms and methods for detecting copy number variation
Open accessAbstract
Copy number variation (CNV), generated through duplication or deletion events that affect one or more loci, is widespread in the human genomes and is often associated with functional consequences that may include changes in gene expression levels or fusion of genes. Genome-wide association studies indicate that some disease phenotypes and physiological pathways might be impacted by CNV in a small number of characterized genomic regions. However, the pervasiveness and full impact of such variation remains unclear. Suitable analytic methods are needed to thoroughly mine human genomes for genomic structural variation, and to explore the interplay between observed CNV and disease phenotypes, but many medical researchers are unfamiliar with the features and nuances of recently developed technologies for detecting CNV. In this article, we evaluate a suite of commonly used and recently developed approaches to uncovering genome-wide CNVs and discuss the relative merits of each.
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Connecting genes to physiology: the first 25 years of Physiological Genomics
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MLDeCNV: A machine learning approach for predicting copy number variation types in plant genomes
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- Authors
- Li, W., & Olivier, M.
- Affiliations
- Medical College of Wisconsin (US)
- Corresponding author
- Olivier, Michael
- Venue
- Physiological Genomics
- Publisher
- American Physiological Society
- Published
- 2013-01
- Volume
- 45
- Issue
- 1
- Pages
- 1-16
- ISSN
- 1094-8341 (ISSN-L)
- 1531-2267
- PMC
- PMC3544484
- OpenAlex
- W2151555987
- Cited by
- 82
- References
- 97
- Citations by year
- 2026: 2 · 2025: 7 · 2024: 3 · 2023: 2 · 2022: 6 · 2021: 6 · 2020: 10 · 2019: 9 · 2018: 10 · 2017: 3 · 2016: 8 · 2015: 9 · 2014: 5 · 2013: 1 · 2012: 1
- FWCI
- 0.63
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Physiological Genomics (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (7p50hg004952-05)
- National Human Genome Research Institute (P50 HG-004952)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomic variations and chromosomal abnormalities
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genome Rearrangement Algorithms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Keywords
- copy number variation, structural variants, genome-wide association study, gene expression, gene fusion, disease phenotypes, human genome
- MeSH terms
- Algorithms, Humans, Genome, Human, Polymorphism, Single Nucleotide, Genomics, Databases, Genetic, Comparative Genomic Hybridization, DNA Copy Number Variations, High-Throughput Nucleotide Sequencing
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