Likelihood ratios for genome medicine.
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.
Morgan
Alexander A
AA
Department of Pediatrics and the Department of Medicine, Stanford University School of Medicine, 251 Campus Drive, MS-5415, Stanford, CA 94305-5479, USA. alexmo@stanford.edu.
Chen
Rong
R
Butte
Atul J
AJ