Integrated Clinical-Genomic Reanalysis Identifies Diagnostic Gaps and Candidate Genes in a Pediatric Rare Disease Cohort
Gu, H.; Sabo, A.; Jangam, S. V.; Hashimoto, H.; Miyake, C. Y.; Yuan, B.; Gijavanekar, C.; Venner, E.; Korchina, V.; Elsea, S. H.; Muzny, D. M.; Mizerik, E.; Vuocolo, B.; Srivaths, P.; Satter, L. F.; Ochoa, S.; Sisley, S.; Mihindou, P. B.; Kanca, O.; Yamamoto, S.; Liu, Z.; Wangler, M. F.; Gibbs, R. A.; Bellen, H. J.; King, K. Y.
Show abstract
Purpose Children with suspected rare genetic disorders often remain undiagnosed after exome, gene panel, or chromosomal microarray testing. We sought to define recurrent missed-diagnosis mechanisms and evaluate an integrated clinical-genomic reanalysis framework. Methods We studied 75 participants with rare or striking pediatric-onset phenotypes who remained undiagnosed after prior genetic testing. Trio genome sequencing evaluated SNVs, indels and copy-number variants. RNA sequencing was performed in 63 participants to assess aberrant expression and splicing, with targeted follow-up assays used selectively for prioritized variants. Clinician-genome scientist review integrated longitudinal phenotyping, physician input, and inheritance. Unresolved cases underwent research-level candidate prioritization. Results Clinically reportable findings were returned in 9, including two with multilocus findings: 5 explained the primary phenotype and 4, while not fully explanatory, were clinically relevant and informing surveillance, management, or family follow-up. Previously missed findings reflected technical limitations, including deep intronic splice-altering variants supported by transcriptome analysis and a genomic deletion, and interpretive limitations related to incomplete phenotype integration or narrowly scoped prior testing. Research-level analysis prioritized six candidate genes, including biallelic ACHE variants with reduced enzymatic activity. Conclusion Integrated clinical-genomic reanalysis framework identified diagnostic gaps, recovered care-informing findings, and prioritized candidate genes for rare disease discovery.
Matching journals
The top 1 journal accounts for 50% of the predicted probability mass.
Similar papers in this journal
- IGenomic answers for children: Dynamic analyses of >1000 pediatric rare disease genomes 93%
- Assessment of the variant prioritisation strategy for genomic newborn screening in the Generation Study 92%
- A gene pathogenicity tool 'GenePy' identifies missed biallelic diagnoses in the 100,000 Genomes Project 92%
Similar papers in this journal
Similar papers in this journal
- Genome Sequencing and Comprehensive Rare Variant Analysis of 465 Families with Neurodevelopmental Disorders 93%
- Exome copy number variant detection, analysis and classification in a large cohort of families with undiagnosed rare genetic disease 91%
- A recurrent de novo splice site variant involving DNM1 alternative exon 10a causes developmental and epileptic encephalopathy through a dominant-negative mechanism 91%
Similar papers in this journal
Similar papers in this journal
- Genetic Diagnosis of Facioscapulohumeral Muscular Dystrophy Type 1 Using Rare Variant Linkage Analysis and Long Read Genome Sequencing 90%
- Detection and characterisation of copy number variants from exome sequencing in the DDD study 89%
- Combined Bioinformatic and Splicing Analysis of Likely Benign Intronic and Synonymous Variants Reveals Evidence for Pathogenicity 89%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.