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Impact of whole genome amplification on analysis of copy number variants
Author(s) -
Trevor J. Pugh,
Allen Delaney,
Noushin Farnoud,
Stéphane Flibotte,
Malachi Griffith,
H. I. Li,
Hong Qian,
Pedro Farinha,
Randy D. Gascoyne,
Marco A. Marra
Publication year - 2008
Publication title -
nucleic acids research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.008
H-Index - 537
eISSN - 1362-4954
pISSN - 0305-1048
DOI - 10.1093/nar/gkn378
Subject(s) - biology , copy number variation , genome , genetics , copy number analysis , snp array , human genome , gene duplication , multiple displacement amplification , chromosome , computational biology , gene , single nucleotide polymorphism , polymerase chain reaction , dna extraction , genotype
Large-scale copy number variants (CNVs) have recently been recognized to play a role in human genome variation and disease. Approaches for anal- ysis of CNVs in small samples such as microdis- sected tissues can be confounded by limited amounts of material. To facilitate analyses of such samples, whole genome amplification (WGA) tech- niques were developed. In this study, we explored the impact of Phi29 multiple-strand displacement amplification on detection of CNVs using oligonu- cleotide arrays. We extracted DNA from fresh frozen lymph node samples and used this for ampli- fication and analysis on the Affymetrix Mapping 500k SNP array platform. We demonstrated that the WGA procedure introduces hundreds of potentially con- founding CNV artifacts that can obscure detection of bona fide variants. Our analysis indicates that many artifacts are reproducible, and may correlate with proximity to chromosome ends and GC content. Pair-wise comparison of amplified products consid- erably reduced the number of apparent artifacts and partially restored the ability to detect real CNVs. Our results suggest WGA material may be appropriate for copy number analysis when amplified samples are compared to similarly amplified samples and that only the CNVs with the greatest significance values detected by such comparisons are likely to be representative of the unamplified samples.

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