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Commentary

Likelihood ratios for genome medicine

Alexander A Morgan12, Rong Chen1 and Atul J Butte13*

Author Affiliations

1 Department of Pediatrics and the Department of Medicine, Stanford University School of Medicine, 251 Campus Drive, MS-5415, Stanford, CA 94305-5479, USA

2 Biomedical Informatics Training Program, Stanford University School of Medicine, 251 Campus Drive, Stanford, CA 94305, USA

3 Lucile Packard Children's Hospital, 725 Welch Road, Palo Alto, CA 94304, USA

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Genome Medicine 2010, 2:30  doi:10.1186/gm151

Published: 17 May 2010

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.