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Scaling national and international improvement in virtual gene panel curation via a collaborative approach to discordance resolution.

Authors :
Stark Z
Foulger RE
Williams E
Thompson BA
Patel C
Lunke S
Snow C
Leong IUS
Puzriakova A
Daugherty LC
Leigh S
Boustred C
Niblock O
Rueda-Martin A
Gerasimenko O
Savage K
Bellamy W
Lin VSK
Valls R
Gordon L
Brittain HK
Thomas ERA
Taylor Tavares AL
McEntagart M
White SM
Tan TY
Yeung A
Downie L
Macciocca I
Savva E
Lee C
Roesley A
De Fazio P
Deller J
Deans ZC
Hill SL
Caulfield MJ
North KN
Scott RH
Rendon A
Hofmann O
McDonagh EM
Source :
American journal of human genetics [Am J Hum Genet] 2021 Sep 02; Vol. 108 (9), pp. 1551-1557. Date of Electronic Publication: 2021 Jul 29.
Publication Year :
2021

Abstract

Clinical validity assessments of gene-disease associations underpin analysis and reporting in diagnostic genomics, and yet wide variability exists in practice, particularly in use of these assessments for virtual gene panel design and maintenance. Harmonization efforts are hampered by the lack of agreed terminology, agreed gene curation standards, and platforms that can be used to identify and resolve discrepancies at scale. We undertook a systematic comparison of the content of 80 virtual gene panels used in two healthcare systems by multiple diagnostic providers in the United Kingdom and Australia. The process was enabled by a shared curation platform, PanelApp, and resulted in the identification and review of 2,144 discordant gene ratings, demonstrating the utility of sharing structured gene-disease validity assessments and collaborative discordance resolution in establishing national and international consensus.<br />Competing Interests: Declaration of interests Kathryn North is a member of the Editorial Board of The American Journal of Human Genetics. The other authors declare no competing interests.<br /> (Copyright © 2021 American Society of Human Genetics. Published by Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
1537-6605
Volume :
108
Issue :
9
Database :
MEDLINE
Journal :
American journal of human genetics
Publication Type :
Academic Journal
Accession number :
34329581
Full Text :
https://doi.org/10.1016/j.ajhg.2021.06.020