Copy number estimation algorithms and fluorescence in situ hybridization to describe copy number alterations in human tumors.
The platforms of high-resolution genetic analysis of human tumors have become popular, and several copy number estimation algorithms have been applied to the data generated by single-nucleotide polymorphism microarrays. Although comparisons have been made between several different platforms or methodologies, there has never been a robust comparison of different copy number estimation algorithms, and the validity of the estimations in comparison with multiple fluorescence in situ hybridization (FISH) data in tumors has rarely been addressed. In the present study the dataset that the Affymetrix 250K Nsp array generated in two cancer cases was used to compare the two widely used algorithms for estimating copy number alterations (CNA): the genotyping microarray-based copy number variation (CNV) analysis (GEMCA) algorithm and the copy number analyzer for Affymetrix Genechip mapping (CNAG) algorithm. Considerable differences were noticed between the estimations by these two algorithms, because of the difference in the formula used to calculate the threshold values. Both algorithms yielded highly consistent data with the FISH results, but CNAG was more stringent for detecting loss. There were areas in which both algorithms provided gains, but FISH showed no change. It will be interesting to pursue the reasons for these remaining discrepancies.
Department of Pathology, Hamamatsu University School of Medicine, Hamamatsu, Japan.
Masaya
M
Suzuki
Kiyoko
K
Nagura
Hisaki
H
Igarashi
Hong
H
Tao
Yutaka
Y
Midorikawa
Yasuhiko
Y
Kitayama
Haruhiko
H
Sugimura
D000465:Algorithms; D005260:Female; D018628:Gene Dosage; D020869:Gene Expression Profiling; D006801:Humans; D017404:In Situ Hybridization, Fluorescence; D008297:Male; D008875:Middle Aged; D009369:Neoplasms / Q000235:genetics*; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D020641:Polymorphism, Single Nucleotide