HGVS Recommendations for the Description of Sequence Variants: 2016 Update

Johan T. den Dunnen(Leiden University Medical Center), Raymond Dalgleish(University of Leicester), Donna Maglott(National Center for Biotechnology Information), Reece K. Hart(Invitae (United States)), Marc S. Greenblatt(University of Vermont), Jean McGowan‐Jordan(University of Ottawa), Anne‐Françoise Roux(Institut de Génétique Moléculaire de Montpellier), Tim D. Smith, Stylianos E. Antonarakis(University of Geneva), Peter E.M. Taschner(University of Applied Sciences Leiden)
Human Mutation
March 2, 2016
Cited by 1,683Open Access
Full Text

Abstract

The consistent and unambiguous description of sequence variants is essential to report and exchange information on the analysis of a genome. In particular, DNA diagnostics critically depends on accurate and standardized description and sharing of the variants detected. The sequence variant nomenclature system proposed in 2000 by the Human Genome Variation Society has been widely adopted and has developed into an internationally accepted standard. The recommendations are currently commissioned through a Sequence Variant Description Working Group (SVD-WG) operating under the auspices of three international organizations: the Human Genome Variation Society (HGVS), the Human Variome Project (HVP), and the Human Genome Organization (HUGO). Requests for modifications and extensions go through the SVD-WG following a standard procedure including a community consultation step. Version numbers are assigned to the nomenclature system to allow users to specify the version used in their variant descriptions. Here, we present the current recommendations, HGVS version 15.11, and briefly summarize the changes that were made since the 2000 publication. Most focus has been on removing inconsistencies and tightening definitions allowing automatic data processing. An extensive version of the recommendations is available online, at http://www.HGVS.org/varnomen.


Related Papers

No related papers found

Powered by citation graph analysis