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BMC Proceedings

, 6:O13 | Cite as

How to avoid one thousand opportunities to do harm in genomic medicine

  • Isaac Kohane
Open Access
Oral presentation
  • 790 Downloads

Keywords

Public Health Error Rate Genome Sequencing Human Disease Prior Probability 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

With the advent of whole genome sequencing made clinically available, the number of incidental findings is likely to rise. False positive incidental findings are of particular clinical concern, and they can usefully be classified into four categories. In order of increasing challenge, there is first, the substantial proportion of 'textbook cases' of mutations documented to cause human disease in a highly penetrant Mendelian fashion, which are incorrectly annotated in the databases. The second is the technical/measurement error rate in genome-scale sequencing. Third is the incorrect assignment of prior probabilities for much of our genetic and genomic knowledge. The fourth derives from testing multiple hypotheses across millions of variants. I will describe the nature of these components, provide rough estimates for the magnitude of the problem and point out existing approaches that will serve to control the growth of these aspects of the incidentalome.

Copyright information

© Kohane; licensee BioMed Central Ltd. 2012

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Authors and Affiliations

  • Isaac Kohane
    • 1
  1. 1.Children's Hospital BostonUSA

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