Literature DB >> 28315672

Principles and Recommendations for Standardizing the Use of the Next-Generation Sequencing Variant File in Clinical Settings.

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.
Copyright © 2017 American Society for Investigative Pathology and the Association for Molecular Pathology. Published by Elsevier Inc. All rights reserved.

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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


  39 in total

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Authors:  Paolo Carnevali; Jonathan Baccash; Aaron L Halpern; Igor Nazarenko; Geoffrey B Nilsen; Krishna P Pant; Jessica C Ebert; Anushka Brownley; Matt Morenzoni; Vitali Karpinchyk; Bruce Martin; Dennis G Ballinger; Radoje Drmanac
Journal:  J Comput Biol       Date:  2011-12-16       Impact factor: 1.479

Review 2.  Next-generation sequencing technologies in diagnostic virology.

Authors:  Luisa Barzon; Enrico Lavezzo; Giulia Costanzi; Elisa Franchin; Stefano Toppo; Giorgio Palù
Journal:  J Clin Virol       Date:  2013-03-21       Impact factor: 3.168

3.  What's in a Name? A Coordinated Approach toward the Correct Use of a Uniform Nomenclature to Improve Patient Reports and Databases.

Authors:  Véronique Tack; Zandra C Deans; Nicola Wolstenholme; Simon Patton; Elisabeth M C Dequeker
Journal:  Hum Mutat       Date:  2016-03-14       Impact factor: 4.878

Review 4.  Clinical application of amplicon-based next-generation sequencing in cancer.

Authors:  Fengqi Chang; Marilyn M Li
Journal:  Cancer Genet       Date:  2013-10-11

5.  Evolution of the Sequence Ontology terms and relationships.

Authors:  Christopher J Mungall; Colin Batchelor; Karen Eilbeck
Journal:  J Biomed Inform       Date:  2010-03-10       Impact factor: 6.317

Review 6.  Clinical implementation of germ line cancer pharmacogenetic variants during the next-generation sequencing era.

Authors:  N K Gillis; J N Patel; F Innocenti
Journal:  Clin Pharmacol Ther       Date:  2013-10-17       Impact factor: 6.875

7.  ACMG clinical laboratory standards for next-generation sequencing.

Authors:  Heidi L Rehm; Sherri J Bale; Pinar Bayrak-Toydemir; Jonathan S Berg; Kerry K Brown; Joshua L Deignan; Michael J Friez; Birgit H Funke; Madhuri R Hegde; Elaine Lyon
Journal:  Genet Med       Date:  2013-07-25       Impact factor: 8.822

8.  DbVar and DGVa: public archives for genomic structural variation.

Authors:  Ilkka Lappalainen; John Lopez; Lisa Skipper; Timothy Hefferon; J Dylan Spalding; John Garner; Chao Chen; Michael Maguire; Matt Corbett; George Zhou; Justin Paschall; Victor Ananiev; Paul Flicek; Deanna M Church
Journal:  Nucleic Acids Res       Date:  2012-11-27       Impact factor: 16.971

Review 9.  Next generation sequencing: new tools in immunology and hematology.

Authors:  Antonio Mori; Sara Deola; Luciano Xumerle; Vladan Mijatovic; Giovanni Malerba; Vladia Monsurrò
Journal:  Blood Res       Date:  2013-12-24

10.  Evolutionary toggling of the MAPT 17q21.31 inversion region.

Authors:  Michael C Zody; Zhaoshi Jiang; Hon-Chung Fung; Francesca Antonacci; LaDeana W Hillier; Maria Francesca Cardone; Tina A Graves; Jeffrey M Kidd; Ze Cheng; Amr Abouelleil; Lin Chen; John Wallis; Jarret Glasscock; Richard K Wilson; Amy Denise Reily; Jaime Duckworth; Mario Ventura; John Hardy; Wesley C Warren; Evan E Eichler
Journal:  Nat Genet       Date:  2008-09       Impact factor: 38.330

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Authors:  Michael Watkins; Karen Eilbeck
Journal:  AMIA Jt Summits Transl Sci Proc       Date:  2020-05-30

2.  Implementing the VMC Specification to Reduce Ambiguity in Genomic Variant Representation.

Authors:  Michael Watkins; Shawn Rynearson; Alex Henrie; Karen Eilbeck
Journal:  AMIA Annu Symp Proc       Date:  2020-03-04

3.  How Can Law and Policy Advance Quality in Genomic Analysis and Interpretation for Clinical Care?

Authors:  Barbara J Evans; Gail Javitt; Ralph Hall; Megan Robertson; Pilar Ossorio; Susan M Wolf; Thomas Morgan; Ellen Wright Clayton
Journal:  J Law Med Ethics       Date:  2020-03       Impact factor: 1.718

4.  Evaluation of Commercial Next-Generation Sequencing Bioinformatics Software Solutions.

Authors:  Rama R Gullapalli
Journal:  J Mol Diagn       Date:  2019-11-18       Impact factor: 5.568

5.  Next-generation sequencing for constitutional variants in the clinical laboratory, 2021 revision: a technical standard of the American College of Medical Genetics and Genomics (ACMG).

Authors:  Catherine Rehder; Lora J H Bean; David Bick; Elizabeth Chao; Wendy Chung; Soma Das; Julianne O'Daniel; Heidi Rehm; Vandana Shashi; Lisa M Vincent
Journal:  Genet Med       Date:  2021-04-29       Impact factor: 8.822

6.  Clinical Genome Data Model (cGDM) provides Interactive Clinical Decision Support for Precision Medicine.

Authors:  Hyo Jung Kim; Hyeong Joon Kim; Yoomi Park; Woo Seung Lee; Younggyun Lim; Ju Han Kim
Journal:  Sci Rep       Date:  2020-01-29       Impact factor: 4.379

  6 in total

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