4.5 Article

Leveraging splice-affecting variant predictors and a minigene validation system to identify Mendelian disease-causing variants among exon-captured variants of uncertain significance

Journal

HUMAN MUTATION
Volume 38, Issue 11, Pages 1521-1533

Publisher

WILEY
DOI: 10.1002/humu.23294

Keywords

inherited retinal degenerations; minigene; Mendelian disease; molecular diagnosis; noncanonical splicing variants; variants of uncertain significance (VUS)

Funding

  1. National Eye Institute [R01EY022356, R01EY018571, EY002520, R01EY09076]
  2. NIH [1S10RR026550]
  3. Foundation Fighting Blindness [BR-GE-0613-0618-BCM, CD-CL-0214-0631-PUMCH]
  4. Retinal Research Foundation
  5. National Natural Science Foundation of China [81470669]
  6. Beijing Natural Science Foundation [7152116]
  7. CAMS Innovation Fund for Medical Sciences [CIFMS 2016-12M-1-002]
  8. Canadian Institutes of Health Research
  9. NEI [5T32EY007001-40]
  10. Fonds de recherche Sante Quebec et Reseau Vision

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The genetic heterogeneity of Mendelian disorders results in a significant proportion of patients that are unable to be assigned a confident molecular diagnosis after conventional exon sequencing and variant interpretation. Here, we evaluated how many patients with an inherited retinal disease (IRD) have variants of uncertain significance (VUS) that are disrupting splicing in a known IRD gene by means other than affecting the canonical dinucleotide splice site. Three in silico splice-affecting variant predictors were leveraged to annotate and prioritize variants for splicing functional validation. An in vitro minigene system was used to assay each variant's effect on splicing. Starting with 745 IRD patients lacking a confident molecular diagnosis, we validated 23 VUS as splicing variants that likely explain disease in 26 patients. Using our results, we optimized in silico score cutoffs to guide future variant interpretation. Variants that alter base pairs other than the canonical GT-AG dinucleotide are often not considered for their potential effect on RNA splicing but in silico tools and a minigene system can be utilized for the prioritization and validation of such splice-disrupting variants. These variants can be overlooked causes of human disease but can be identified using conventional exon sequencing with proper interpretation guidelines.

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