Email updates

Keep up to date with the latest news and content from Genome Medicine and BioMed Central.

Journal App

google play app store
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

For all author emails, please log on.

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.