Skip NavigationSkip to Content

Invited Commentary: More Surprises From a Gene Desert

  1. Author:
    Wacholder, S.
    Yeager, M.
    Liao, L. M.
  2. Author Address

    [Wacholder, Sholom] Natl Canc Ctr, Div Canc Epidemiol & Genet, Biostat Branch, Bethesda, MD USA. [Liao, Linda M.] Natl Canc Inst, Div Canc Epidemiol & Genet, Occupat & Environm Epidemiol Branch, Bethesda, MD USA. [Yeager, Meredith] Natl Canc Inst, SAIC, Frederick, MD USA.;Wacholder, S (reprint author), Natl Canc Inst, Natl Inst Hlth, Execut Plaza S,6120 Execut Blvd,Suite 5050,MSC 72, Rockville, MD 20852 USA;wacholds@mail.nih.gov
    1. Year: 2012
    2. Date: Mar
  1. Journal: American Journal of Epidemiology
    1. 175
    2. 6
    3. Pages: 488-491
  2. Type of Article: Editorial Material
  3. ISSN: 0002-9262
  1. Abstract:

    Pleiotropy across the 8q24 region is perhaps the most intriguing of the genome-wide association findings relating to cancer. This region of chromosome 8 is a gene desert, far from any recognized genes. Guarrera et al., whose work is reported in this issue (Am J Epidemiol. 2012;175(6):479-487), took an epidemiologic approach to learn more about the 8q24 region. They capitalized on their ascertainment of other endpoints in members of the cohort at the Turin site of the European Prospective Investigation Into Cancer and Nutrition to investigate multiple outcomes for additional pleiotropic effects in the 8q24 region. Alternative design options might involve genotyping of more variants, incorporation of more cases, or use of a single control group close to the size of the most common case group. Their analytic methods reflect the uncertainty of the underlying biology. The findings sharpen the scientific question about how variation in the 8q24 region affects pathogenesis. The genome-wide association effort is possible because of the economy of scale afforded by extremely dense genotyping. Strict adherence to the hypothesis-driven approach would ignore information that is obtainable at a trivial cost. The genome-wide association strategy tests whether agnostic data-mining methods can advance knowledge alongside or even in place of the standard hypothesis-driven approach, which is the conventional scientific method children learn in kindergarten and onward, even through graduate school and beyond.

    See More

External Sources

  1. DOI: 10.1093/aje/kwr429
  2. WOS: 000301681600002

Library Notes

  1. Fiscal Year: FY2011-2012
NCI at Frederick

You are leaving a government website.

This external link provides additional information that is consistent with the intended purpose of this site. The government cannot attest to the accuracy of a non-federal site.

Linking to a non-federal site does not constitute an endorsement by this institution or any of its employees of the sponsors or the information and products presented on the site. You will be subject to the destination site's privacy policy when you follow the link.

ContinueCancel