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Likelihood ratios for genome medicine.

  • Author(s): Morgan, Alexander A
  • Chen, Rong
  • Butte, Atul J
  • et al.

Published Web Location

https://doi.org/10.1186/gm151
Abstract

Patients are beginning to present to healthcare providers with the results of high-throughput individualized genotyping, and interpreting these results in the context of the explosive growth of literature linking individual variants with disease may seem daunting. However, we suggest that results of a personal genomic analysis may be viewed as a panel of many tests for multiple diseases. By using well-established methods of evidence based medicine, these very many parallel tests may be combined using likelihood ratios to report a post-test probability of disease for use in patient assessment.

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