Arrays the Cancer Genome Using Single Nucleotide Polymorphism An Integrated View of Copy Number and Allelic Alterations in Updated

Changes in DNA copy number contribute to cancer pathogenesis. We now show that high-density single nucleotide polymorphism (SNP) arrays can detect copy number alterations. By hybridizing genomic representations of breast and lung carcinoma cell line and lung tumor DNA to SNP arrays, and measuring locus-specific hybridization intensity, we detected both known and novel genomic amplifications and homozygous deletions in these cancer samples. Moreover, by combining genotyping with SNP quantitation, we could distinguish loss of heterozygosity events caused by hemizygous deletion from those that occur by copy-neutral events. The simultaneous measurement of DNA copy number changes and loss of heterozygosity events by SNP arrays should strengthen our ability to discover cancer-causing genes and to refine cancer diagnosis.

[1]  David C Christiani,et al.  High-resolution single-nucleotide polymorphism array and clustering analysis of loss of heterozygosity in human lung cancer cell lines , 2004, Oncogene.

[2]  M. Peruggia The Analysis of Gene Expression Data: Methods and Software , 2004 .

[3]  Sridhar Ramaswamy,et al.  Loss of Heterozygosity and Its Correlation with Expression Profiles in Subclasses of Invasive Breast Cancers , 2004, Cancer Research.

[4]  Daniel Pinkel,et al.  Genomic microarrays in human genetic disease and cancer. , 2003, Human molecular genetics.

[5]  J. Sebat,et al.  Representational oligonucleotide microarray analysis: a high-resolution method to detect genome copy number variation. , 2003, Genome research.

[6]  Freda Kemp,et al.  Mathematical and Statistical Methods for Genetic Analysis , 2003 .

[7]  S. P. Fodor,et al.  Large-scale genotyping of complex DNA , 2003, Nature Biotechnology.

[8]  Cheng Li,et al.  Genome-wide loss of heterozygosity analysis from laser capture microdissected prostate cancer using single nucleotide polymorphic allele (SNP) arrays and a novel bioinformatics platform dChipSNP. , 2003, Cancer research.

[9]  Paul Cairns,et al.  Genome-wide genetic characterization of bladder cancer: a comparison of high-density single-nucleotide polymorphism arrays and PCR-based microsatellite analysis. , 2003, Cancer research.

[10]  H. von der Maase,et al.  Allelic imbalances in human bladder cancer: genome-wide detection with high-density single-nucleotide polymorphism arrays. , 2002, Journal of the National Cancer Institute.

[11]  Cheng Li,et al.  Model-based analysis of oligonucleotide arrays: model validation, design issues and standard error application , 2001, Genome Biology.

[12]  C. Li,et al.  Model-based analysis of oligonucleotide arrays: expression index computation and outlier detection. , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[13]  M. Wigler,et al.  Detecting gene copy number fluctuations in tumor cells by microarray analysis of genomic representations. , 2000, Genome research.

[14]  Eric S. Lander,et al.  Loss-of-heterozygosity analysis of small-cell lung carcinomas using single-nucleotide polymorphism arrays , 2000, Nature Biotechnology.

[15]  D J Lockhart,et al.  Genome-wide detection of allelic imbalance using human SNPs and high-density DNA arrays. , 2000, Genome research.

[16]  W. Kuo,et al.  High resolution analysis of DNA copy number variation using comparative genomic hybridization to microarrays , 1998, Nature Genetics.

[17]  J. Bergh,et al.  Homozygous deletions at 3p12 in breast and lung cancer , 1998, Oncogene.

[18]  C. Nusbaum,et al.  Large-scale identification, mapping, and genotyping of single-nucleotide polymorphisms in the human genome. , 1998, Science.

[19]  H. Döhner,et al.  Matrix‐based comparative genomic hybridization: Biochips to screen for genomic imbalances , 1997, Genes, chromosomes & cancer.

[20]  M. Wigler,et al.  PTEN, a Putative Protein Tyrosine Phosphatase Gene Mutated in Human Brain, Breast, and Prostate Cancer , 1997, Science.

[21]  M. Skolnick,et al.  A cell cycle regulator potentially involved in genesis of many tumor types. , 1994, Science.

[22]  D. Pinkel,et al.  Comparative Genomic Hybridization for Molecular Cytogenetic Analysis of Solid Tumors , 1992 .

[23]  C R King,et al.  erbB-2 is a potent oncogene when overexpressed in NIH/3T3 cells. , 1987, Science.

[24]  Stephen H. Friend,et al.  A human DNA segment with properties of the gene that predisposes to retinoblastoma and osteosarcoma , 1986, Nature.

[25]  T. P. Dryja,et al.  Expression of recessive alleles by chromosomal mechanisms in retinoblastoma , 1983, Nature.

[26]  J. Minna,et al.  Amplification and expression of the c-myc oncogene in human lung cancer cell lines , 1983, Nature.

[27]  A. Knudson Mutation and cancer: statistical study of retinoblastoma. , 1971, Proceedings of the National Academy of Sciences of the United States of America.

[28]  Cheng Li,et al.  DNA-Chip Analyzer (dChip) , 2003 .

[29]  Ash A. Alizadeh,et al.  Genome-wide analysis of DNA copy-number changes using cDNA microarrays , 1999 .

[30]  Rakesh Dugad,et al.  A Tutorial On Hidden Markov Models , 1996 .