CARAT: A novel method for allelic detection of DNA copy number changes using high density oligonucleotide arrays

<p>Abstract</p> <p>Background</p> <p>DNA copy number alterations are one of the main characteristics of the cancer cell karyotype and can contribute to the complex phenotype of these cells. These alterations can lead to gains in cellular oncogenes as well as losses in t...

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Main Authors: Ishikawa Shumpei, Mei Rui, Di Xiaojun, Liu Guoying, Zhang Jane, Chen Joyce, Wei Wen, Huang Jing, Aburatani Hiroyuki, Jones Keith W, Shapero Michael H
Format: Article
Language:English
Published: BMC 2006-02-01
Series:BMC Bioinformatics
Online Access:http://www.biomedcentral.com/1471-2105/7/83
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author Ishikawa Shumpei
Mei Rui
Di Xiaojun
Liu Guoying
Zhang Jane
Chen Joyce
Wei Wen
Huang Jing
Aburatani Hiroyuki
Jones Keith W
Shapero Michael H
author_facet Ishikawa Shumpei
Mei Rui
Di Xiaojun
Liu Guoying
Zhang Jane
Chen Joyce
Wei Wen
Huang Jing
Aburatani Hiroyuki
Jones Keith W
Shapero Michael H
author_sort Ishikawa Shumpei
collection DOAJ
description <p>Abstract</p> <p>Background</p> <p>DNA copy number alterations are one of the main characteristics of the cancer cell karyotype and can contribute to the complex phenotype of these cells. These alterations can lead to gains in cellular oncogenes as well as losses in tumor suppressor genes and can span small intervals as well as involve entire chromosomes. The ability to accurately detect these changes is central to understanding how they impact the biology of the cell.</p> <p>Results</p> <p>We describe a novel algorithm called CARAT (Copy Number Analysis with Regression And Tree) that uses probe intensity information to infer copy number in an allele-specific manner from high density DNA oligonuceotide arrays designed to genotype over 100, 000 SNPs. Total and allele-specific copy number estimations using CARAT are independently evaluated for a subset of SNPs using quantitative PCR and allelic TaqMan reactions with several human breast cancer cell lines. The sensitivity and specificity of the algorithm are characterized using DNA samples containing differing numbers of X chromosomes as well as a test set of normal individuals. Results from the algorithm show a high degree of agreement with results from independent verification methods.</p> <p>Conclusion</p> <p>Overall, CARAT automatically detects regions with copy number variations and assigns a significance score to each alteration as well as generating allele-specific output. When coupled with SNP genotype calls from the same array, CARAT provides additional detail into the structure of genome wide alterations that can contribute to allelic imbalance.</p>
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spelling doaj.art-9a158b15eb764974b0f46563a395af882022-12-22T01:00:33ZengBMCBMC Bioinformatics1471-21052006-02-01718310.1186/1471-2105-7-83CARAT: A novel method for allelic detection of DNA copy number changes using high density oligonucleotide arraysIshikawa ShumpeiMei RuiDi XiaojunLiu GuoyingZhang JaneChen JoyceWei WenHuang JingAburatani HiroyukiJones Keith WShapero Michael H<p>Abstract</p> <p>Background</p> <p>DNA copy number alterations are one of the main characteristics of the cancer cell karyotype and can contribute to the complex phenotype of these cells. These alterations can lead to gains in cellular oncogenes as well as losses in tumor suppressor genes and can span small intervals as well as involve entire chromosomes. The ability to accurately detect these changes is central to understanding how they impact the biology of the cell.</p> <p>Results</p> <p>We describe a novel algorithm called CARAT (Copy Number Analysis with Regression And Tree) that uses probe intensity information to infer copy number in an allele-specific manner from high density DNA oligonuceotide arrays designed to genotype over 100, 000 SNPs. Total and allele-specific copy number estimations using CARAT are independently evaluated for a subset of SNPs using quantitative PCR and allelic TaqMan reactions with several human breast cancer cell lines. The sensitivity and specificity of the algorithm are characterized using DNA samples containing differing numbers of X chromosomes as well as a test set of normal individuals. Results from the algorithm show a high degree of agreement with results from independent verification methods.</p> <p>Conclusion</p> <p>Overall, CARAT automatically detects regions with copy number variations and assigns a significance score to each alteration as well as generating allele-specific output. When coupled with SNP genotype calls from the same array, CARAT provides additional detail into the structure of genome wide alterations that can contribute to allelic imbalance.</p>http://www.biomedcentral.com/1471-2105/7/83
spellingShingle Ishikawa Shumpei
Mei Rui
Di Xiaojun
Liu Guoying
Zhang Jane
Chen Joyce
Wei Wen
Huang Jing
Aburatani Hiroyuki
Jones Keith W
Shapero Michael H
CARAT: A novel method for allelic detection of DNA copy number changes using high density oligonucleotide arrays
BMC Bioinformatics
title CARAT: A novel method for allelic detection of DNA copy number changes using high density oligonucleotide arrays
title_full CARAT: A novel method for allelic detection of DNA copy number changes using high density oligonucleotide arrays
title_fullStr CARAT: A novel method for allelic detection of DNA copy number changes using high density oligonucleotide arrays
title_full_unstemmed CARAT: A novel method for allelic detection of DNA copy number changes using high density oligonucleotide arrays
title_short CARAT: A novel method for allelic detection of DNA copy number changes using high density oligonucleotide arrays
title_sort carat a novel method for allelic detection of dna copy number changes using high density oligonucleotide arrays
url http://www.biomedcentral.com/1471-2105/7/83
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