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Personalized genomic disease risk of volunteers
Author(s) -
Manuel L. GonzalezGaray,
Amy L. McGuire,
Stacey Pereira,
C. Thomas Caskey
Publication year - 2013
Publication title -
proceedings of the national academy of sciences
Language(s) - English
Resource type - Journals
eISSN - 1091-6490
pISSN - 0027-8424
DOI - 10.1073/pnas.1315934110
Subject(s) - genetic testing , resource (disambiguation) , population , disease , personalized medicine , dna sequencing , computer science , bioinformatics , computational biology , risk analysis (engineering) , medicine , data science , biology , genetics , pathology , gene , environmental health , computer network
Significance Replacing traditional methods for genetic testing of inheritable disorders with next-generation sequencing (NGS) will reduce the cost of genetic testing and increase the information available for the patients. NGS will become an invaluable resource for the patient and physicians, especially if the sequencing information is stored properly and reanalyzed as bioinformatics tools and annotations improve. NGS is still at the early stages of development, and it is full of false-positive and -negative results and requires infrastructure and specialized personnel to properly analyze the results. This paper will explain our experience with an adult population, our bioinformatics analysis, and our clinical decisions to assure that our genetic diagnostics were accurate to detect carrier status and serious medical conditions in our volunteers.

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