The GA4GH Variation Representation Specification: A computational framework for variation representation and federated identification

Summary: Maximizing the personal, public, research, and clinical value of genomic information will require the reliable exchange of genetic variation data. We report here the Variation Representation Specification (VRS, pronounced "verse"), an extensible framework for the computable repres...

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Main Authors: Alex H. Wagner (Author), Lawrence Babb (Author), Gil Alterovitz (Author), Michael Baudis (Author), Matthew Brush (Author), Daniel L. Cameron (Author), Melissa Cline (Author), Malachi Griffith (Author), Obi L. Griffith (Author), Sarah E. Hunt (Author), David Kreda (Author), Jennifer M. Lee (Author), Stephanie Li (Author), Javier Lopez (Author), Eric Moyer (Author), Tristan Nelson (Author), Ronak Y. Patel (Author), Kevin Riehle (Author), Peter N. Robinson (Author), Shawn Rynearson (Author), Helen Schuilenburg (Author), Kirill Tsukanov (Author), Brian Walsh (Author), Melissa Konopko (Author), Heidi L. Rehm (Author), Andrew D. Yates (Author), Robert R. Freimuth (Author), Reece K. Hart (Author)
Format: Book
Published: Elsevier, 2021-11-01T00:00:00Z.
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100 1 0 |a Alex H. Wagner  |e author 
700 1 0 |a Lawrence Babb  |e author 
700 1 0 |a Gil Alterovitz  |e author 
700 1 0 |a Michael Baudis  |e author 
700 1 0 |a Matthew Brush  |e author 
700 1 0 |a Daniel L. Cameron  |e author 
700 1 0 |a Melissa Cline  |e author 
700 1 0 |a Malachi Griffith  |e author 
700 1 0 |a Obi L. Griffith  |e author 
700 1 0 |a Sarah E. Hunt  |e author 
700 1 0 |a David Kreda  |e author 
700 1 0 |a Jennifer M. Lee  |e author 
700 1 0 |a Stephanie Li  |e author 
700 1 0 |a Javier Lopez  |e author 
700 1 0 |a Eric Moyer  |e author 
700 1 0 |a Tristan Nelson  |e author 
700 1 0 |a Ronak Y. Patel  |e author 
700 1 0 |a Kevin Riehle  |e author 
700 1 0 |a Peter N. Robinson  |e author 
700 1 0 |a Shawn Rynearson  |e author 
700 1 0 |a Helen Schuilenburg  |e author 
700 1 0 |a Kirill Tsukanov  |e author 
700 1 0 |a Brian Walsh  |e author 
700 1 0 |a Melissa Konopko  |e author 
700 1 0 |a Heidi L. Rehm  |e author 
700 1 0 |a Andrew D. Yates  |e author 
700 1 0 |a Robert R. Freimuth  |e author 
700 1 0 |a Reece K. Hart  |e author 
245 0 0 |a The GA4GH Variation Representation Specification: A computational framework for variation representation and federated identification 
260 |b Elsevier,   |c 2021-11-01T00:00:00Z. 
500 |a 2666-979X 
500 |a 10.1016/j.xgen.2021.100027 
520 |a Summary: Maximizing the personal, public, research, and clinical value of genomic information will require the reliable exchange of genetic variation data. We report here the Variation Representation Specification (VRS, pronounced "verse"), an extensible framework for the computable representation of variation that complements contemporary human-readable and flat file standards for genomic variation representation. VRS provides semantically precise representations of variation and leverages this design to enable federated identification of biomolecular variation with globally consistent and unique computed identifiers. The VRS framework includes a terminology and information model, machine-readable schema, data sharing conventions, and a reference implementation, each of which is intended to be broadly useful and freely available for community use. VRS was developed by a partnership among national information resource providers, public initiatives, and diagnostic testing laboratories under the auspices of the Global Alliance for Genomics and Health (GA4GH). 
546 |a EN 
690 |a variation 
690 |a genomics 
690 |a GA4GH 
690 |a standard 
690 |a VOCA 
690 |a computed identifiers 
690 |a Genetics 
690 |a QH426-470 
690 |a Internal medicine 
690 |a RC31-1245 
655 7 |a article  |2 local 
786 0 |n Cell Genomics, Vol 1, Iss 2, Pp 100027- (2021) 
787 0 |n http://www.sciencedirect.com/science/article/pii/S2666979X21000343 
787 0 |n https://doaj.org/toc/2666-979X 
856 4 1 |u https://doaj.org/article/3859bdfa7d3c4f77bb01c6a9ee4f69c7  |z Connect to this object online.