A systematic analysis of splicing variants identifies new diagnoses in the 100,000 Genomes Project.
Alexander J. M. BlakesiD, Htoo A. WaiiD, Ian DaviesiD, Hassan E. Moledina, April Ruiz, Tessy Thomas, David J. BunyaniD, Nicholas Simon ThomasiD, Christine Pamela BurreniD, Lynn Greenhalgh, Melissa M. LeesiD, Amanda PichiniiD, Sarah SmithsoniD, Ana Lisa Taylor TavaresiD, Peter O’DonovaniD, Andrew G. L. DouglasiD, Nicola WhiffiniD, Diana BaralleiD, Jenny LordiD
Abstract
Genomic variants which disrupt splicing are a major cause of rare genetic disease. However, variants which lie outside of the canonical splice sites are difficult to interpret clinically. Here, we examine the landscape of splicing variants in whole-genome sequencing data from 38,688 individuals in the 100,000 Genomes Project, and assess the contribution of non-canonical splicing variants to rare genetic diseases. We show that splicing branchpoints are highly constrained by purifying selection, and harbour damaging non-coding variants which are amenable to systematic analysis in sequencing data. From 258 de novo splicing variants in known rare disease genes, we identify 35 new likely diagnoses in probands with an unsolved rare disease. We use phenotype matching and RNA studies to confirm a new diagnosis for six individuals to date. In summary, we demonstrate the clinical value of examining non-canonical splicing variants in participants with unsolved rare diseases.
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