The impact of errors in copy number variation detection algorithms on association results.

The inaccuracy of copy number variation (CNV) detection on single nucleotide polymorphism (SNP) arrays has recently been brought to attention. Such high error rates will undoubtedly have ramifications on downstream association testing. We examined this effect for a wide range of scenarios and found...

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Main Authors: Nathan E Wineinger, Hemant K Tiwari
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2012-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3327691?pdf=render
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author Nathan E Wineinger
Hemant K Tiwari
author_facet Nathan E Wineinger
Hemant K Tiwari
author_sort Nathan E Wineinger
collection DOAJ
description The inaccuracy of copy number variation (CNV) detection on single nucleotide polymorphism (SNP) arrays has recently been brought to attention. Such high error rates will undoubtedly have ramifications on downstream association testing. We examined this effect for a wide range of scenarios and found a noticeable decrease in power for error rates typical of CNV calling algorithms. We compared power using CNV calls to the log relative ratio and found the latter to be superior when error rates are moderate to large or when the CNV size is small. It is our recommendation that CNV researchers use intensity measurements as an alternative to CNV calls in these scenarios.
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spelling doaj.art-c78d7659b9234d9fbb8b0dece5a4dbf02022-12-22T01:28:42ZengPublic Library of Science (PLoS)PLoS ONE1932-62032012-01-0174e3239610.1371/journal.pone.0032396The impact of errors in copy number variation detection algorithms on association results.Nathan E WineingerHemant K TiwariThe inaccuracy of copy number variation (CNV) detection on single nucleotide polymorphism (SNP) arrays has recently been brought to attention. Such high error rates will undoubtedly have ramifications on downstream association testing. We examined this effect for a wide range of scenarios and found a noticeable decrease in power for error rates typical of CNV calling algorithms. We compared power using CNV calls to the log relative ratio and found the latter to be superior when error rates are moderate to large or when the CNV size is small. It is our recommendation that CNV researchers use intensity measurements as an alternative to CNV calls in these scenarios.http://europepmc.org/articles/PMC3327691?pdf=render
spellingShingle Nathan E Wineinger
Hemant K Tiwari
The impact of errors in copy number variation detection algorithms on association results.
PLoS ONE
title The impact of errors in copy number variation detection algorithms on association results.
title_full The impact of errors in copy number variation detection algorithms on association results.
title_fullStr The impact of errors in copy number variation detection algorithms on association results.
title_full_unstemmed The impact of errors in copy number variation detection algorithms on association results.
title_short The impact of errors in copy number variation detection algorithms on association results.
title_sort impact of errors in copy number variation detection algorithms on association results
url http://europepmc.org/articles/PMC3327691?pdf=render
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