Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2016 Sep 23;10(1):30.
doi: 10.1186/s40246-016-0088-9.

Major influence of repetitive elements on disease-associated copy number variants (CNVs)

Affiliations
Review

Major influence of repetitive elements on disease-associated copy number variants (CNVs)

Ana R Cardoso et al. Hum Genomics. .

Abstract

Copy number variants (CNVs) are important contributors to the human pathogenic genetic diversity as demonstrated by a number of cases reported in the literature. The high homology between repetitive elements may guide genomic stability which will give rise to CNVs either by non-allelic homologous recombination (NAHR) or non-homologous end joining (NHEJ). Here, we present a short guide based on previously documented cases of disease-associated CNVs in order to provide a general view on the impact of repeated elements on the stability of the genomic sequence and consequently in the origin of the human pathogenic variome.

Keywords: Copy number variants (CNVs); Genetic diseases; Genomic structural variation; LINE; Low copy repeats; Non-allelic homologous recombination (NAHR); Retrotransposons; SINE.

PubMed Disclaimer

Figures

Fig. 1
Fig. 1
Optimal LCRs features for the occurrence of NAHR events that result in CNV formation. Distinct LCR pairs with counter features such as homology, size, and inter-LCR distance influence NAHR rate and lead to the formation of common recurrent (a) or rare recurrent (b) copy number variants. Adapted from [3, 6, 12]

Similar articles

Cited by

References

    1. Itsara A, Cooper GM, Baker C, Girirajan S, Li J, Absher D, et al. Population analysis of large copy number variants and hotspots of human genetic disease. Am J Hum Genet. 2009;84(2):148–161. doi: 10.1016/j.ajhg.2008.12.014. - DOI - PMC - PubMed
    1. Henrichsen CN, Chaignat E, Reymond A. Copy number variants, diseases and gene expression. Hum Mol Genet. 2009;18(R1):R1–R8. doi: 10.1093/hmg/ddp011. - DOI - PubMed
    1. Carvalho CM, Lupski JR. Mechanisms underlying structural variant formation in genomic disorders. Nat Rev Genet. 2016;17(4):224–238. doi: 10.1038/nrg.2015.25. - DOI - PMC - PubMed
    1. Chen L, Zhou W, Zhang L, Zhang F. Genome architecture and its roles in human copy number variation. Genomics Inform. 2014;12(4):136–144. doi: 10.5808/GI.2014.12.4.136. - DOI - PMC - PubMed
    1. Jobling MA, Hollox E, Hurles M, Kivisild T, Tyler-Smith C. Human evolutionary genetics: origins, peoples and disease. 2. New York: Garland Science; 2014.

LinkOut - more resources