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A Strategy to Identify de Novo Mutations in Common Disorders such as Autism and Schizophrenia
Published on: June 15, 2011
Unraveling missing variants through target capture-based long-read sequencing in autosomal recessive disorders
Jee-Soo Lee1, Kyeong Seon Ryu1, Hyesu Lee1
1Department of Laboratory Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea.
European Journal of Human Genetics : EJHG
|July 20, 2026
Summary
Long-read sequencing (LRS) improves rare disease diagnostics by detecting variants missed by short-read sequencing (SRS). This cost-effective LRS assay solved 25.6% of previously undiagnosed autosomal recessive cases.
Area of Science:
- Genomics
- Rare disease diagnostics
- Molecular biology
Background:
- Short-read sequencing (SRS) gene panels are vital for rare disease diagnosis but struggle with autosomal recessive cases.
- Undiagnosed cases often involve variants in deep intronic regions or structural variants (SVs) missed by SRS.
Purpose of the Study:
- To enhance diagnostic yield for rare autosomal recessive disorders.
- To implement and evaluate a cost-effective target capture-based long-read sequencing (LRS) assay.
Main Methods:
- Retrospective analysis of 78 patients with unsolved autosomal recessive disorders after SRS.
- Application of a target capture-based LRS assay covering 56 genes.
- Functional validation using RT-PCR and minigene assays.
Main Results:
- LRS solved 25.6% (20/78) of previously undiagnosed cases.
- Identified 10 structural variants (SVs) and 3 deep intronic variants causing aberrant splicing.
- Haplotype phasing reclassified VUS as likely pathogenic in 7 cases.
Conclusions:
- Target capture-based LRS effectively detects diverse variants missed by SRS, including SVs and deep intronic variants.
- Integrating LRS into diagnostic workflows is a practical strategy to improve autosomal recessive disease diagnosis.
- The reported diagnostic yield is from a selected, enriched population and not directly generalizable to unselected cohorts.

