Beyond odds ratios--communicating disease risk based on genetic profiles

Peter Kraft1, Sholom Wacholder, Marilyn C Cornelis

  • 1Harvard School of Public Health, Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts 02115, USA. pkraft@hsph.harvard.edu

Nature Reviews. Genetics
|February 25, 2009
PubMed
Summary

Genome-wide association studies identify disease markers, but discovery statistics like p-values are poor for predicting individual disease risk. Predictive values such as sensitivity and specificity are better suited for evaluating genetic profiles for risk assessment.

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