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Genetic Variations as Cancer Prognostic Markers: Review and Update

Journal

HUMAN MUTATION
Volume 30, Issue 10, Pages 1369-1377

Publisher

WILEY
DOI: 10.1002/humu.21078

Keywords

cancer; prognosis; susceptibility; treatment response; genetic variation; genome-wide association studies; candidate gene approach

Funding

  1. National Cancer Institute of Canada (NCIC)
  2. Ontario Institute for Cancer Research (OICR)
  3. Canadian Institutes of Health Research (CIHR)

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Cancer molecular epidemiology traditionally studies the relationship between genetic variations and cancer risk. However, recent studies have also focused on disease outcomes. The application and design of disease outcome studies have been an extension of disease risk assessment. Yet there are a number of unique considerations important in outcome assessments. We review how genetic approaches used for disease susceptibility, such as candidate gene and genome-wide association study (GWAS) approaches, can be adapted carefully to systematically identify cancer prognostic and predictive alleles. We discuss the interrelatedness among the disease susceptibility, treatment response, and prognosis at the genetic level and focus on how the emerging technologies and approaches can uniquely benefit the genetic prognosis studies. Hum Mutat 30:1369-1377, 2009. (C) 2009 Wiley-Liss, Inc.

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