Recommendations for clinical interpretation of variants found in non-coding regions of the genome
Author
Ellingford, J. M.
Ahn, J. W.
Bagnall, R. D.
Baralle, D.
Barton, S.
Campbell, C.
Downes, K.
Ellard, S.
Duff-Farrier, C.
FitzPatrick, D. R.
Greally, J. M.
Ingles, J.
Krishnan, N.
Lord, J.
Martin, H. C.
Newman, W. G.
O'Donnell-Luria, A.
Ramsden, S. C.
Rehm, H. L.
Richardson, E.
Singer-Berk, M.
Taylor, J. C.
Williams, M.
Wood, J. C.
Wright, C. F.
Harrison, S. M.
Whiffin, N.
Date
2022-07-19Journal
Genome medicineType
LetterPublisher
BioMed CentralDOI
10.1186/s13073-022-01073-3Rights
© 2022. The Author(s).Metadata
Show full item recordAbstract
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. 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. 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. 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.