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Recommendations for clinical interpretation of variants found in non-coding regions of the genome.

Authors :
Ellingford JM
Ahn JW
Bagnall RD
Baralle D
Barton S
Campbell C
Downes K
Ellard S
Duff-Farrier C
FitzPatrick DR
Greally JM
Ingles J
Krishnan N
Lord J
Martin HC
Newman WG
O'Donnell-Luria A
Ramsden SC
Rehm HL
Richardson E
Singer-Berk M
Taylor JC
Williams M
Wood JC
Wright CF
Harrison SM
Whiffin N
Source :
Genome medicine [Genome Med] 2022 Jul 19; Vol. 14 (1), pp. 73. Date of Electronic Publication: 2022 Jul 19.
Publication Year :
2022

Abstract

Background: The majority of clinical genetic testing focuses almost exclusively on regions of the genome that directly encode proteins. The important role of variants in non-coding regions in penetrant disease is, however, increasingly being demonstrated, and the use of whole genome sequencing in clinical diagnostic settings is rising across a large range of genetic disorders. Despite this, there is no existing guidance on how current guidelines designed primarily for variants in protein-coding regions should be adapted for variants identified in other genomic contexts.<br />Methods: We convened a panel of nine clinical and research scientists with wide-ranging expertise in clinical variant interpretation, with specific experience in variants within non-coding regions. This panel discussed and refined an initial draft of the guidelines which were then extensively tested and reviewed by external groups.<br />Results: We discuss considerations specifically for variants in non-coding regions of the genome. We outline how to define candidate regulatory elements, highlight examples of mechanisms through which non-coding region variants can lead to penetrant monogenic disease, and outline how existing guidelines can be adapted for the interpretation of these variants.<br />Conclusions: These recommendations aim to increase the number and range of non-coding region variants that can be clinically interpreted, which, together with a compatible phenotype, can lead to new diagnoses and catalyse the discovery of novel disease mechanisms.<br /> (© 2022. The Author(s).)

Details

Language :
English
ISSN :
1756-994X
Volume :
14
Issue :
1
Database :
MEDLINE
Journal :
Genome medicine
Publication Type :
Report
Accession number :
35850704
Full Text :
https://doi.org/10.1186/s13073-022-01073-3