Spectrum of splicing variants in disease genes and the ability of RNA analysis to reduce uncertainty in clinical interpretation
- PMID: 33743207
- PMCID: PMC8059334
- DOI: 10.1016/j.ajhg.2021.03.006
Spectrum of splicing variants in disease genes and the ability of RNA analysis to reduce uncertainty in clinical interpretation
Abstract
The complexities of gene expression pose challenges for the clinical interpretation of splicing variants. To better understand splicing variants and their contribution to hereditary disease, we evaluated their prevalence, clinical classifications, and associations with diseases, inheritance, and functional characteristics in a 689,321-person clinical cohort and two large public datasets. In the clinical cohort, splicing variants represented 13% of all variants classified as pathogenic (P), likely pathogenic (LP), or variants of uncertain significance (VUSs). Most splicing variants were outside essential splice sites and were classified as VUSs. Among all individuals tested, 5.4% had a splicing VUS. If RNA analysis were to contribute supporting evidence to variant interpretation, we estimated that splicing VUSs would be reclassified in 1.7% of individuals in our cohort. This would result in a clinically significant result (i.e., P/LP) in 0.1% of individuals overall because most reclassifications would change VUSs to likely benign. In ClinVar, splicing VUSs were 4.8% of reported variants and could benefit from RNA analysis. In the Genome Aggregation Database (gnomAD), splicing variants comprised 9.4% of variants in protein-coding genes; most were rare, precluding unambiguous classification as benign. Splicing variants were depleted in genes associated with dominant inheritance and haploinsufficiency, although some genes had rare variants at essential splice sites or had common splicing variants that were most likely compatible with normal gene function. Overall, we describe the contribution of splicing variants to hereditary disease, the potential utility of RNA analysis for reclassifying splicing VUSs, and how natural variation may confound clinical interpretation of splicing variants.
Keywords: RNA analysis; functional studies; gene panel; genetic testing; in silico prediction; next-generation sequencing; splice site; splicing; variant classification; variants of uncertain significance.
Copyright © 2021 Invitae Corporation. Published by Elsevier Inc. All rights reserved.
Conflict of interest statement
All authors are employees and stockholders of Invitae Corporation.
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