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Use of genome sequencing to hunt for cryptic second-hit variants: analysis of 31 cases recruited to the 100 000 Genomes Project.
Moore, A Rachel; Yu, Jing; Pei, Yang; Cheng, Emily W Y; Taylor Tavares, Ana Lisa; Walker, Woolf T; Thomas, N Simon; Kamath, Arveen; Ibitoye, Rita; Josifova, Dragana; Wilsdon, Anna; Ross, Alison; Calder, Alistair D; Offiah, Amaka C; Wilkie, Andrew O M; Taylor, Jenny C; Pagnamenta, Alistair T.
Afiliação
  • Moore AR; Wellcome Centre for Human Genetics, NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford, UK.
  • Yu J; Cambridge Genomics Laboratory, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
  • Pei Y; Wellcome Centre for Human Genetics, NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford, UK.
  • Cheng EWY; Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
  • Taylor Tavares AL; Clinical Genetics Group, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK.
  • Walker WT; Genomics England Limited, London, UK.
  • Thomas NS; Genomics England Limited, London, UK.
  • Kamath A; School of Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK.
  • Ibitoye R; PCD Centre, University Hospital Southampton NHS Foundation Trust, Southampton, UK.
  • Josifova D; Wessex Regional Genetics Laboratory, Salisbury NHS Foundation Trust, Salisbury, UK.
  • Wilsdon A; All Wales Medical Genomics Service, University Hospital of Wales, Cardiff, UK.
  • Ross A; North West Thames Regional Genetics Service, Northwick Park Hospital, Harrow, London, UK.
  • Calder AD; Department of Clinical Genetics, Guy's and St Thomas' Hospitals NHS Trust, London, UK.
  • Offiah AC; Clinical Genetics, Nottingham City Hospital, Nottingham, UK.
  • Wilkie AOM; Clinical Genetics, NHS Grampian, Aberdeen, UK.
  • Taylor JC; Department of Oncology and Metabolism, The University of Sheffield, Sheffield, UK.
  • Pagnamenta AT; Clinical Genetics Group, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK.
J Med Genet ; 60(12): 1235-1244, 2023 Nov 27.
Article em En | MEDLINE | ID: mdl-37558402
ABSTRACT

BACKGROUND:

Current clinical testing methods used to uncover the genetic basis of rare disease have inherent limitations, which can lead to causative pathogenic variants being missed. Within the rare disease arm of the 100 000 Genomes Project (100kGP), families were recruited under the clinical indication 'single autosomal recessive mutation in rare disease'. These participants presented with strong clinical suspicion for a specific autosomal recessive disorder, but only one suspected pathogenic variant had been identified through standard-of-care testing. Whole genome sequencing (WGS) aimed to identify cryptic 'second-hit' variants.

METHODS:

To investigate the 31 families with available data that remained unsolved following formal review within the 100kGP, SVRare was used to aggregate structural variants present in <1% of 100kGP participants. Small variants were assessed using population allele frequency data and SpliceAI. Literature searches and publicly available online tools were used for further annotation of pathogenicity.

RESULTS:

Using these strategies, 8/31 cases were solved, increasing the overall diagnostic yield of this cohort from 10/41 (24.4%) to 18/41 (43.9%). Exemplar cases include a patient with cystic fibrosis harbouring a novel exonic LINE1 insertion in CFTR and a patient with generalised arterial calcification of infancy with complex interlinked duplications involving exons 2-6 of ENPP1. Although ambiguous by short-read WGS, the ENPP1 variant structure was resolved using optical genome mapping and RNA analysis.

CONCLUSION:

Systematic examination of cryptic variants across a multi-disease cohort successfully identifies additional pathogenic variants. WGS data analysis in autosomal recessive rare disease should consider complex structural and small intronic variants as potentially pathogenic second hits.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doenças Raras Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Doenças Raras Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article