Functional genomics provide key insights to improve the diagnostic yield of hereditary ataxia

Author:

Chen ZhongboORCID,Tucci AriannaORCID,Cipriani ValentinaORCID,Gustavsson Emil K.ORCID,Ibañez Kristina,Reynolds Regina H.ORCID,Zhang DavidORCID,Vestito LetiziaORCID,Cisterna García AlejandroORCID,Sethi Siddharth,Brenton Jonathan W.,García-Ruiz Sonia,Fairbrother-Browne AineORCID,Gil-Martinez Ana-Luisa,Wood Nick,Hardy John A.,Smedley Damian,Houlden HenryORCID,Botía JuanORCID,Ryten MinaORCID,

Abstract

AbstractImprovements in functional genomic annotation have led to a critical mass of neurogenetic discoveries. This is exemplified in hereditary ataxia, a heterogeneous group of disorders characterised by incoordination from cerebellar dysfunction. Associated pathogenic variants in more than 300 genes have been described, leading to a detailed genetic classification partitioned by age-of-onset. Despite these advances, up to 75% of patients with ataxia remain molecularly undiagnosed even following whole genome sequencing, as exemplified in the 100,000 Genomes Project.This study aimed to understand whether we can improve our knowledge of the genetic architecture of hereditary ataxia by leveraging functional genomic annotations, and as a result, generate insights that raise the diagnostic yield.To achieve these aims, we used publicly-available multi-omics data to generate 294 genic features, capturing information relating to a gene’s structure, genetic variation, tissue- specific, cell-type-specific and temporal expression, as well as protein products of a gene. We studied these features across genes typically causing childhood-onset, adult-onset or both types of disease first individually, then collectively. This led to the generation of testable hypotheses which we investigated using whole genome sequencing data from 2,322 individuals presenting with ataxia and 6,387 non-neurological probands in the 100,000 Genomes Project.Using this approach, we demonstrated a surprisingly high short tandem repeat (STR) density within childhood-onset genes suggesting that we may be missing pathogenic repeat expansions within this cohort. This was verified in both childhood- and adult-onset ataxia patients from the 100,000 Genomes Project who were unexpectedly found to have a trend for higher repeat sizes even at naturally-occurring STRs in known ataxia genes, implying a role for STRs in pathogenesis. Using unsupervised analysis, we found significant similarities in genomic annotation across the gene panels, which suggested adult- and childhood-onset patients should be screened using a common diagnostic gene set. We tested this within the 100,000 Genomes Project by assessing the burden of pathogenic variants among childhood-onset genes in adult-onset patients and vice versa. This demonstrated a significantly higher burden of rare, potentially pathogenic variants in conventional childhood-onset genes among individuals with adult-onset ataxia.Our analysis has implications for the current clinical practice in genetic testing for hereditary ataxia. We suggest that the diagnostic rate for hereditary ataxia could be increased by removing the age-of-onset partition, and through a modified screening for repeat expansions in naturally-occurring STRs within known genes, in effect treating these regions as candidate pathogenic loci.

Publisher

Cold Spring Harbor Laboratory

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