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Single nucleotide polymorphism array analysis of cancer.

Amit Dutt1, Rameen Beroukhim

  • 1Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge 02142, USA.

Current Opinion in Oncology
|November 30, 2006
PubMed
Summary
This summary is machine-generated.

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Single nucleotide polymorphism (SNP) arrays are powerful tools for identifying genetic variants in cancer. These arrays aid in classifying tumors and discovering new therapeutic targets by analyzing DNA changes.

Area of Science:

  • Genomics
  • Cancer Research
  • Molecular Biology

Background:

  • Accurate cancer classification and identification of therapeutic targets depend on understanding genetic alterations.
  • Single nucleotide polymorphism (SNP) arrays offer a high-resolution method for simultaneously detecting various genetic changes.
  • The increasing resolution of SNP arrays enhances their utility in cancer research.

Purpose of the Study:

  • To review the application of SNP arrays in describing genetic changes in cancer.
  • To highlight the advancements in SNP array technology for cancer research.
  • To emphasize the role of SNP arrays in identifying cancer-related genetic variants and therapeutic targets.

Main Methods:

  • Utilizing SNP arrays to map loss of heterozygosity (LOH) and copy number variations (CNVs).

Related Experiment Videos

  • Employing advanced techniques for high-resolution LOH mapping without paired normal data.
  • Leveraging SNP arrays for high-throughput association studies to identify germline variants.

    • Main Results:

    • SNP arrays can map LOH and CNVs at high resolution.
    • Novel oncogenes and tumor suppressor genes are being identified through SNP array studies.
    • Allele-specific copy number changes can now be determined using SNP arrays.
    • SNP arrays facilitate large-scale association studies for identifying cancer predisposition variants.

    Conclusions:

    • SNP arrays are ideal for identifying both somatic and germline genetic variants in cancer.
    • These arrays provide a foundation for DNA-based cancer classification.
    • SNP arrays enhance the understanding of cancer genesis and aid in defining therapeutic targets.