Seminars in Oncology
Volume 34, Supplement 1 , Pages S21-S24, April 2007

Population Genetic Tools: Application to Cancer

  • Stacey Gabriel

      Affiliations

    • Corresponding Author InformationAddress reprint requests to Stacey Gabriel, PhD, Broad Institute of MIT and Harvard, Building #300 1 Kendall Square, Cambridge, MA 02139.

Broad Institute of Harvard and MIT, Cambridge, MA.

The availability of a reference human genome sequence, an increasingly dense catalog, knowledge of common genetic variation, and new developments in technology present an unprecedented opportunity to systematically explore the genetic basis of complex human diseases such as cancer. An understanding of the common mutations that can cause distinct human cancers will be critical for identifying new targets for drug discovery, patient stratification for clinical trials, and analysis of drug response data to delineate classes of patients that respond to therapy. The genome structure of cancer can be examined in several ways: (1) large-scale case-control or family studies can investigate germline mutations; and (2) state-of-the-art genomic technologies (eg, high-density oligonucleotide arrays and targeted re-sequencing), can identify somatic alterations. Combined, these approaches will lead to a better understanding of the cancer genome.

To access this article, please choose from the options below

Login to an existing account or Register a new account.

  • Purchase this article for 31.50 USD (You must login/register to purchase this article)

    Online access for 24 hours. The PDF version can be downloaded as your permanent record.

  • Subscribe to this title

    Get unlimited online access to this article and all other articles in this title 24/7 for one year.

  • Claim access now

    For current subscribers with Society Membership or Account Number.

  • Visit SciVerse ScienceDirect to see if you have access via your institution.
 

PII: S0093-7754(07)00021-8

doi:10.1053/j.seminoncol.2007.01.008

Seminars in Oncology
Volume 34, Supplement 1 , Pages S21-S24, April 2007