Experimental designs for array comparative genomic hybridization technology

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Array comparative genomic hybridization (aCGH) technology is commonly used to estimate genome-wide copy-number variation and to evaluate associations between copy number and disease. Although aCGH technology is well developed and there are numerous algorithms available for estimating copy number, little attention has been paid to the important issue of the statistical experimental design. Herein, we review classical statistical experimental designs and discuss their relevance to aCGH technology as well as their importance for downstream statistical analyses. Furthermore, we provide experimental design guidance for various study objectives.

Original languageEnglish (US)
Pages (from-to)250-257
Number of pages8
JournalCytogenetic and Genome Research
Volume139
Issue number4
DOIs
StatePublished - May 2013

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Comparative Genomic Hybridization
Research Design
Technology
Genome

Keywords

  • Balanced incomplete-block design
  • Balanced-block design
  • Dye-swap design
  • Reference design

ASJC Scopus subject areas

  • Genetics
  • Genetics(clinical)
  • Molecular Biology

Cite this

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title = "Experimental designs for array comparative genomic hybridization technology",
abstract = "Array comparative genomic hybridization (aCGH) technology is commonly used to estimate genome-wide copy-number variation and to evaluate associations between copy number and disease. Although aCGH technology is well developed and there are numerous algorithms available for estimating copy number, little attention has been paid to the important issue of the statistical experimental design. Herein, we review classical statistical experimental designs and discuss their relevance to aCGH technology as well as their importance for downstream statistical analyses. Furthermore, we provide experimental design guidance for various study objectives.",
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author = "McDonnell, {S. K.} and Riska, {S. M.} and Klee, {Eric W} and Thorland, {Erik C} and Kay, {Neil Elliot} and Thibodeau, {Stephen N} and Alexander Parker and Eckel-Passow, {Jeanette E}",
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AU - McDonnell, S. K.

AU - Riska, S. M.

AU - Klee, Eric W

AU - Thorland, Erik C

AU - Kay, Neil Elliot

AU - Thibodeau, Stephen N

AU - Parker, Alexander

AU - Eckel-Passow, Jeanette E

PY - 2013/5

Y1 - 2013/5

N2 - Array comparative genomic hybridization (aCGH) technology is commonly used to estimate genome-wide copy-number variation and to evaluate associations between copy number and disease. Although aCGH technology is well developed and there are numerous algorithms available for estimating copy number, little attention has been paid to the important issue of the statistical experimental design. Herein, we review classical statistical experimental designs and discuss their relevance to aCGH technology as well as their importance for downstream statistical analyses. Furthermore, we provide experimental design guidance for various study objectives.

AB - Array comparative genomic hybridization (aCGH) technology is commonly used to estimate genome-wide copy-number variation and to evaluate associations between copy number and disease. Although aCGH technology is well developed and there are numerous algorithms available for estimating copy number, little attention has been paid to the important issue of the statistical experimental design. Herein, we review classical statistical experimental designs and discuss their relevance to aCGH technology as well as their importance for downstream statistical analyses. Furthermore, we provide experimental design guidance for various study objectives.

KW - Balanced incomplete-block design

KW - Balanced-block design

KW - Dye-swap design

KW - Reference design

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