Evidence map›Paper›PMID 38789118›Full record

ArticleArchives of disease in childhood2024

Resolving unsolved whole-genome sequencing data in paediatric neurological disorders: a cohort study.

Ching-Shiang Chi, Chi-Ren Tsai, Hsiu-Fen Lee

Abstract read
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Article in Archives of disease in childhood, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Ching-Shiang Chi *Division of Pediatric Neurology, Children's Medical Center, Taichung Veterans General Hospital, Taichung, Taiwan.
Chi-Ren Tsai *Division of Pediatric Neurology, Children's Medical Center, Taichung Veterans General Hospital, Taichung, Taiwan.
Hsiu-Fen LeeDivision of Pediatric Neurology, Children's Medical Center, Taichung Veterans General Hospital, Taichung, Taiwan leehf@hotmail.com.tw.ORCID 0000-0002-6411-0183

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo resolve unsolved whole-genome sequencing (WGS) data in individuals with paediatric neurological disorders.

designA cohort study method using updated bioinformatic tools, new analysis targets, clinical information and literature databases was employed to reanalyse existing unsolved genome data.

participantsFrom January 2016 to September 2023, a total of 615 individuals who aged under 18 years old, exhibited neurological disorders and received singleton WGS were recruited. 364 cases were unsolved during initial WGS analysis, in which 102 consented to reanalyse existing singleton WGS data.

resultsMedian duration for reanalysis after initial negative WGS results was 2 years and 4 months. The diagnostic yield was 29 of 102 individuals (28.4%) through reanalysis. New disease gene discovery and new target acquisitions contributed to 13 of 29 solved cases (44.8%). The reasons of non-detected causative variants during initial WGS analysis were variant reclassification in 9 individuals (31%), analytical issue in 9 (31%), new emerging disease-gene association in 8 (27.6%) and clinical update in 3 (10.3%). The 29 new diagnoses increased the cumulative diagnostic yield of clinical WGS in the entire study cohort to 45.5% after reanalysis.

conclusionsUnsolved paediatric WGS individuals with neurological disorders could obtain molecular diagnoses through reanalysis within a timeframe of 2-2.5 years. New disease gene, structural variations and deep intronic splice variants make a significant contribution to diagnostic yield. This approach can provide precise genetic counselling to positive reanalysis results and end a diagnostic odyssey.

Indexed as

Nervous System DiseasesWhole Genome SequencingAdolescentChildChild, PreschoolCohort StudiesComputational BiologyFemaleHumansInfantMaleMolecular BiologyNeurologyPaediatrics

Identifiers

PMID38789118
PMCPMC11347223

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.