Lindblad-Toh K, Tanenbaum D M, Daly M J, Winchester E, Lui W O, Villapakkam A, Stanton S E, Larsson C, Hudson T J, Johnson B E, Lander E S, Meyerson M
Whitehead Institute/MIT Center for Genome Research, Whitehead Institute for Biomedical Research, Cambridge, MA 02139, USA.
Nat Biotechnol. 2000 Sep;18(9):1001-5. doi: 10.1038/79269.
Human cancers arise by a combination of discrete mutations and chromosomal alterations. Loss of heterozygosity (LOH) of chromosomal regions bearing mutated tumor suppressor genes is a key event in the evolution of epithelial and mesenchymal tumors. Global patterns of LOH can be understood through allelotyping of tumors with polymorphic genetic markers. Simple sequence length polymorphisms (SSLPs, or microsatellites) are reliable genetic markers for studying LOH, but only a modest number of SSLPs are used in LOH studies because the genotyping procedure is rather tedious. Here, we report the use of a highly parallel approach to genotype large numbers of single-nucleotide polymorphisms (SNPs) for LOH, in which samples are genotyped for nearly 1,500 loci by performing 24 polymerase chain reactions (PCR), pooling the resulting amplification products and hybridizing the mixture to a high-density oligonucleotide array. We characterize the results of LOH analyses on human small-cell lung cancer (SCLC) and control DNA samples by hybridization. We show that the patterns of LOH are consistent with those obtained by analysis with both SSLPs and comparative genomic hybridization (CGH), whereas amplifications rarely are detected by the SNP array. The results validate the use of SNP array hybridization for tumor studies.
人类癌症是由离散突变和染色体改变共同引发的。携带突变肿瘤抑制基因的染色体区域杂合性缺失(LOH)是上皮性和间叶性肿瘤发生发展中的关键事件。通过使用多态性遗传标记对肿瘤进行等位基因分型,可以了解LOH的整体模式。简单序列长度多态性(SSLPs,即微卫星)是研究LOH的可靠遗传标记,但由于基因分型过程相当繁琐,在LOH研究中仅使用了少量的SSLPs。在此,我们报告了一种高度并行的方法,用于对大量单核苷酸多态性(SNPs)进行基因分型以研究LOH,即通过进行24次聚合酶链反应(PCR)对样本中近1500个位点进行基因分型,将所得扩增产物混合,然后将混合物与高密度寡核苷酸阵列杂交。我们通过杂交对人类小细胞肺癌(SCLC)和对照DNA样本的LOH分析结果进行了表征。我们发现,LOH模式与通过SSLPs和比较基因组杂交(CGH)分析获得的结果一致,而SNP阵列很少检测到扩增。这些结果验证了SNP阵列杂交在肿瘤研究中的应用。