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Allele-specific amplification in cancer revealed by SNP array analysis
Thomas LaFramboise1, Barbara A Weir, Xiaojun Zhao
1Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, United States of America.
Plos Computational Biology
|December 3, 2005
Summary
This study introduces a new method to analyze genomic copy number and allelotype from SNP array data. The approach precisely identifies allele-specific copy number, revealing targeted amplifications on specific parental chromosomes in lung cancer.
Area of Science:
- Genomics
- Cancer Biology
- Bioinformatics
Background:
- Genomic alterations like amplification, deletion, and loss of heterozygosity are key cancer indicators.
- High-resolution techniques are advancing the measurement of chromosomal copy number and mapping of loss-of-heterozygosity events.
Purpose of the Study:
- To develop a novel probe-level allele-specific quantitation procedure for SNP array data.
- To extract both copy number and allelotype information for allele-specific copy number analysis across the genome.
- To determine generalized genotypes of aberrant samples and infer parental chromosome copy number.
Main Methods:
- Utilized an expectation-maximization algorithm applied to a novel classification of SNP array probes.
- Developed a method to determine generalized genotypes at SNP sites and infer allele-specific copy number.
- Validated allele-specific copy number inferences using PCR experiments and demonstrated precise genotyping of normal samples.
Main Results:
- The method accurately determines allele-specific copy number, including the haplotype of amplified or deleted regions.
- Analysis of lung cancer samples revealed that amplifications are predominantly monoallelic.
- Demonstrated that specific parental chromosomes may be targeted for amplification.
Conclusions:
- The developed method provides a powerful tool for detailed genomic analysis of cancer.
- Findings suggest targeted amplification of specific parental chromosomes in cancer, potentially due to germline or somatic variations.
- An R software package is available for public use.