| Literature DB >> 28315672 |
Ira M Lubin1, Nazneen Aziz2, Lawrence J Babb3, Dennis Ballinger4, Himani Bisht5, Deanna M Church6, Shaun Cordes4, Karen Eilbeck7, Fiona Hyland8, Lisa Kalman9, Melissa Landrum10, Edward R Lockhart9, Donna Maglott10, Gabor Marth11, John D Pfeifer12, Heidi L Rehm13, Somak Roy14, Zivana Tezak5, Rebecca Truty15, Mollie Ullman-Cullere16, Karl V Voelkerding17, Elizabeth A Worthey18, Alexander W Zaranek19, Justin M Zook20.
Abstract
A national workgroup convened by the Centers for Disease Control and Prevention identified principles and made recommendations for standardizing the description of sequence data contained within the variant file generated during the course of clinical next-generation sequence analysis for diagnosing human heritable conditions. The specifications for variant files were initially developed to be flexible with regard to content representation to support a variety of research applications. This flexibility permits variation with regard to how sequence findings are described and this depends, in part, on the conventions used. For clinical laboratory testing, this poses a problem because these differences can compromise the capability to compare sequence findings among laboratories to confirm results and to query databases to identify clinically relevant variants. To provide for a more consistent representation of sequence findings described within variant files, the workgroup made several recommendations that considered alignment to a common reference sequence, variant caller settings, use of genomic coordinates, and gene and variant naming conventions. These recommendations were considered with regard to the existing variant file specifications presently used in the clinical setting. Adoption of these recommendations is anticipated to reduce the potential for ambiguity in describing sequence findings and facilitate the sharing of genomic data among clinical laboratories and other entities.Entities:
Mesh:
Year: 2017 PMID: 28315672 PMCID: PMC5417043 DOI: 10.1016/j.jmoldx.2016.12.001
Source DB: PubMed Journal: J Mol Diagn ISSN: 1525-1578 Impact factor: 5.568