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Cytogenet Genome Res ; 139(4): 250-7, 2013.
Article in English | MEDLINE | ID: mdl-23548696

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.


Subject(s)
Comparative Genomic Hybridization/methods , DNA Copy Number Variations , Genetics, Population/methods , Binding, Competitive , Chromosomes, Human/genetics , DNA Probes/genetics , Genetic Association Studies , Genetic Diseases, Inborn/diagnosis , Genetic Diseases, Inborn/genetics , Genome, Human , Humans , Oligonucleotide Array Sequence Analysis , Reference Standards , Reproducibility of Results , Sensitivity and Specificity
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