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Shariant platform: Enabling evidence sharing across Australian clinical genetic-testing laboratories to support variant interpretation

Authors :
Emma Tudini
James Andrews
David M. Lawrence
Sarah L. King-Smith
Naomi Baker
Leanne Baxter
John Beilby
Bruce Bennetts
Victoria Beshay
Michael Black
Tiffany F. Boughtwood
Kristian Brion
Pak Leng Cheong
Michael Christie
John Christodoulou
Belinda Chong
Kathy Cox
Mark R. Davis
Lucas Dejong
Marcel E. Dinger
Kenneth D. Doig
Evelyn Douglas
Andrew Dubowsky
Melissa Ellul
Andrew Fellowes
Katrina Fisk
Cristina Fortuno
Kathryn Friend
Renee L. Gallagher
Song Gao
Emma Hackett
Johanna Hadler
Michael Hipwell
Gladys Ho
Georgina Hollway
Amanda J. Hooper
Karin S. Kassahn
Rahul Krishnaraj
Chiyan Lau
Huong Le
Huei San Leong
Ben Lundie
Sebastian Lunke
Anthony Marty
Mary McPhillips
Lan T. Nguyen
Katia Nones
Kristen Palmer
John V. Pearson
Michael C.J. Quinn
Lesley H. Rawlings
Simon Sadedin
Louisa Sanchez
Andreas W. Schreiber
Emanouil Sigalas
Aygul Simsek
Julien Soubrier
Zornitza Stark
Bryony A. Thompson
James U
Cassandra G. Vakulin
Amanda V. Wells
Cheryl A. Wise
Rick Woods
Andrew Ziolkowski
Marie-Jo Brion
Hamish S. Scott
Natalie P. Thorne
Amanda B. Spurdle
Lauren Akesson
Richard Allcock
Katie Ashton
Damon A. Bell
Anna Brown
Michael Buckley
John R. Burnett
Linda Burrows
Alicia Byrne
Eva Chan
Corrina Cliffe
Roderick Clifton-Bligh
Susan Dooley
Miriam Fanjul Fernandez
Elizabeth Farnsworth
Thuong Ha
Denae Henry
Duncan Holds
Katherine Holman
Matilda Jackson
Sinlay Kang
Catherine Luxford
Sam McManus
Rachael Mehrtens
Cliff Meldrum
David Mossman
Sarah-Jane Pantaleo
Dean Phelan
Electra Pontikinas
Anja Ravine
Tony Roscioli
Rodney Scott
Keryn Simons
Oliver Vanwageningen
Tudini, Emma
Andrews, James
Lawrence, David M.
King-Smith, Sarah L.
Schreiber, Andreas W
James, U
Shariant Consortium
Source :
Am J Hum Genet
Publication Year :
2022

Abstract

Sharing genomic variant interpretations across laboratories promotes consistency in variant assertions. A landscape analysis of Australian clinical genetic-testing laboratories in 2017 identified that, despite the national-accreditation-body recommendations encouraging laboratories to submit genotypic data to clinical databases, fewer than 300 variants had been shared to the ClinVar public database. Consultations with Australian laboratories identified resource constraints limiting routine application of manual processes, consent issues, and differences in interpretation systems as barriers to sharing. This information was used to define key needs and solutions required to enable national sharing of variant interpretations. The Shariant platform, using both the GRCh37 and GRCh38 genome builds, was developed to enable ongoing sharing of variant interpretations and associated evidence between Australian clinical genetic-testing laboratories. Where possible, two-way automated sharing was implemented so that disruption to laboratory workflows would be minimized. Terms of use were developed through consultation and currently restrict access to Australian clinical genetic-testing laboratories. Shariant was designed to store and compare structured evidence, to promote and record resolution of inter-laboratory classification discrepancies, and to streamline the submission of variant assertions to ClinVar. As of December 2021, more than 14,000 largely prospectively curated variant records from 11 participating laboratories have been shared. Discrepant classifications have been identified for 11% (28/260) of variants submitted by more than one laboratory. We have demonstrated that co-design with clinical laboratories is vital to developing and implementing a national variant-interpretation sharing effort. This approach has improved inter-laboratory concordance and enabled opportunities to standardize interpretation practices.

Details

ISSN :
15376605
Volume :
109
Issue :
11
Database :
OpenAIRE
Journal :
American journal of human genetics
Accession number :
edsair.doi.dedup.....3847493e457643efaf7244e001b19ac0