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Chen Z, Tucci A, Cipriani V, Gustavsson EK, Ibañez K, Reynolds RH, Zhang D, Vestito L, Cisterna García A, Sethi S, Brenton JW, García-Ruiz S, Fairbrother-Browne A, Gil-Martinez AL, Hardy JA, Smedley D, Houlden H, Botía J, Ryten M. Functional genomics provide key insights to improve the diagnostic yield of hereditary ataxia. Brain 2023:6979910. [PMID: 36624280 DOI: 10.1093/brain/awad009] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 10/24/2022] [Accepted: 12/22/2022] [Indexed: 01/11/2023] Open
Abstract
Improvements 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 and strategies 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 up to 2,182 individuals presenting with ataxia and 6,658 non-neurological probands recruited in the 100,000 Genomes Project. Using this approach, we demonstrated a 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 within 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 ataxia-associated genes, in effect treating these regions as candidate pathogenic loci.
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Affiliation(s)
- Zhongbo Chen
- Department of Neurodegenerative Disease, Queen Square Institute of Neurology, University College London (UCL), London, WC1N 3BG, UK
- Department of Genetics and Genomic Medicine, Great Ormond Street Institute of Child Health, UCL, London, WC1N 1EH, UK
- NIHR Great Ormond Street Hospital Biomedical Research Centre, UCL, London, WC1N 1EH, UK
| | - Arianna Tucci
- William Harvey Research Institute, Queen Mary University of London, London, EC1M 6BQ, UK
| | - Valentina Cipriani
- William Harvey Research Institute, Queen Mary University of London, London, EC1M 6BQ, UK
| | - Emil K Gustavsson
- Department of Neurodegenerative Disease, Queen Square Institute of Neurology, University College London (UCL), London, WC1N 3BG, UK
- Department of Genetics and Genomic Medicine, Great Ormond Street Institute of Child Health, UCL, London, WC1N 1EH, UK
- NIHR Great Ormond Street Hospital Biomedical Research Centre, UCL, London, WC1N 1EH, UK
| | - Kristina Ibañez
- William Harvey Research Institute, Queen Mary University of London, London, EC1M 6BQ, UK
- Genomics England, Queen Mary University of London, London, EC1M 6BQ, UK
| | - Regina H Reynolds
- Department of Genetics and Genomic Medicine, Great Ormond Street Institute of Child Health, UCL, London, WC1N 1EH, UK
- NIHR Great Ormond Street Hospital Biomedical Research Centre, UCL, London, WC1N 1EH, UK
| | - David Zhang
- Department of Genetics and Genomic Medicine, Great Ormond Street Institute of Child Health, UCL, London, WC1N 1EH, UK
- NIHR Great Ormond Street Hospital Biomedical Research Centre, UCL, London, WC1N 1EH, UK
| | - Letizia Vestito
- NIHR Great Ormond Street Hospital Biomedical Research Centre, UCL, London, WC1N 1EH, UK
- William Harvey Research Institute, Queen Mary University of London, London, EC1M 6BQ, UK
- Ear Institute, UCL, London, WC1X 8EE, UK
| | | | - Siddharth Sethi
- Department of Neurodegenerative Disease, Queen Square Institute of Neurology, University College London (UCL), London, WC1N 3BG, UK
- Astex Pharmaceuticals, 436 Cambridge Science Park, Cambridge, CB4 0QA, UK
| | - Jonathan W Brenton
- Department of Genetics and Genomic Medicine, Great Ormond Street Institute of Child Health, UCL, London, WC1N 1EH, UK
- NIHR Great Ormond Street Hospital Biomedical Research Centre, UCL, London, WC1N 1EH, UK
| | - Sonia García-Ruiz
- Department of Genetics and Genomic Medicine, Great Ormond Street Institute of Child Health, UCL, London, WC1N 1EH, UK
- NIHR Great Ormond Street Hospital Biomedical Research Centre, UCL, London, WC1N 1EH, UK
| | - Aine Fairbrother-Browne
- Department of Genetics and Genomic Medicine, Great Ormond Street Institute of Child Health, UCL, London, WC1N 1EH, UK
- NIHR Great Ormond Street Hospital Biomedical Research Centre, UCL, London, WC1N 1EH, UK
- Department of Medical and Molecular Genetics, School of Basic and Medical Biosciences, King's College London, London, WC2R 2LS, UK
| | - Ana-Luisa Gil-Martinez
- Department of Neurodegenerative Disease, Queen Square Institute of Neurology, University College London (UCL), London, WC1N 3BG, UK
- Department of Genetics and Genomic Medicine, Great Ormond Street Institute of Child Health, UCL, London, WC1N 1EH, UK
- NIHR Great Ormond Street Hospital Biomedical Research Centre, UCL, London, WC1N 1EH, UK
| | | | - John A Hardy
- Department of Neurodegenerative Disease, Queen Square Institute of Neurology, University College London (UCL), London, WC1N 3BG, UK
- Reta Lila Weston Institute, Queen Square Institute of Neurology, UCL, London, WC1N 3BG, UK
- UK Dementia Research Institute at UCL, London, WC1E 6BT, UK
- NIHR University College London Hospitals Biomedical Research Centre, London, W1T 7DN, UK
- Institute for Advanced Study, The Hong Kong University of Science and Technology, Hong Kong SAR, China
| | - Damian Smedley
- William Harvey Research Institute, Queen Mary University of London, London, EC1M 6BQ, UK
| | - Henry Houlden
- Department of Neuromuscular Disease, Queen Square Institute of Neurology, UCL, London, WC1N 3BG, UK
| | - Juan Botía
- Department of Neurodegenerative Disease, Queen Square Institute of Neurology, University College London (UCL), London, WC1N 3BG, UK
- Department of Information and Communications Engineering, University of Murcia, 30003 Murcia, Spain
| | - Mina Ryten
- Department of Genetics and Genomic Medicine, Great Ormond Street Institute of Child Health, UCL, London, WC1N 1EH, UK
- NIHR Great Ormond Street Hospital Biomedical Research Centre, UCL, London, WC1N 1EH, UK
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