Five genetic variants associated with prostate cancer

New England Journal of Medicine (Impact Factor: 54.42). 07/2008; 358(25):2738; author reply 2741. DOI: 10.1056/NEJMc080680
Source: PubMed
  • [Show abstract] [Hide abstract]
    ABSTRACT: The brisk discovery of novel inherited disease markers by genome-wide association (GWA) studies has raised expectations for predicting disease risk by analysing multiple common alleles. However, the statistics used during the discovery phase of research (such as odds ratios or p values for association) are not the most appropriate measures for evaluating the predictive value of genetic profiles. We argue that other measures--such as sensitivity, specificity, and positive and negative predictive values--are more useful when proposing a genetic profile for risk prediction.
    Nature Reviews Genetics 03/2009; 10(4):264-9. DOI:10.1038/nrg2516 · 39.79 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Genome-wide association studies of hundreds of thousands of SNPs have led to a deluge of studies of genetic variation in cancer and other common diseases. Large case-control and cohort studies have identified novel SNPs as markers of cancer risk. Genome-wide association study SNP data have also advanced understanding of population-specific genetic variation. While studies of risk profiles, combinations of SNPs that may increase cancer risk, are not yet clinically applicable, future, large-scale studies will make individualized cancer screening and prevention possible.
    Personalized Medicine 12/2008; 5(6):589-597. DOI:10.2217/17410541.5.6.589 · 1.13 Impact Factor


1 Download
Available from