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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.

2026-09-30 genetic and genomic medicine
10.64898/2026.09.24.26363679 medRxiv
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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.

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