Detection of clinically relevant copy number variants with whole-exome sequencing.

TitleDetection of clinically relevant copy number variants with whole-exome sequencing.
Publication TypeJournal Article
Year of Publication2013
Authorsde Ligt, J, Boone, PM, Pfundt, R, Vissers, LELM, Richmond, T, Geoghegan, J, O'Moore, K, de Leeuw, N, Shaw, C, Brunner, HG, Lupski, JR, Veltman, JA, Hehir-Kwa, JY
JournalHum Mutat
Date Published2013 Oct
KeywordsAlgorithms, DNA Copy Number Variations, Exome, Genetic Testing, Genome-Wide Association Study, High-Throughput Nucleotide Sequencing, Humans, Intellectual Disability, Reproducibility of Results

Copy number variation (CNV) is a common source of genetic variation that has been implicated in many genomic disorders. This has resulted in the widespread application of genomic microarrays as a first-tier diagnostic tool for CNV detection. More recently, whole-exome sequencing (WES) has been proven successful for the detection of clinically relevant point mutations and small insertion-deletions exome wide. We evaluate the utility of short-read WES (SOLiD 5500xl) to detect clinically relevant CNVs in DNA from 10 patients with intellectual disability and compare these results to data from two independent high-resolution microarrays. Eleven of the 12 clinically relevant CNVs were detected via read-depth analysis of WES data; a heterozygous single-exon deletion remained undetected by all algorithms evaluated. Although the detection power of WES for small CNVs currently does not match that of high-resolution microarray platforms, we show that the majority (88%) of rare coding CNVs containing three or more exons are successfully identified by WES. These results show that the CNV detection resolution of WES is comparable to that of medium-resolution genomic microarrays commonly used as clinical assays. The combined detection of point mutations, indels, and CNVs makes WES a very attractive first-tier diagnostic test for genetically heterogeneous disorders.

Alternate JournalHum Mutat
PubMed ID23893877
Grant ListU54 HG003273 / HG / NHGRI NIH HHS / United States

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