Evidence map›Paper›PMID 42477409›Full record

ArticleEuropean journal of human genetics : EJHG2026

Unraveling missing variants through target capture-based long-read sequencing in autosomal recessive disorders.

Jee-Soo Lee, Kyeong Seon Ryu, Hyesu Lee, Hara Lim, Seonhoo Youn, Hansol Lim, Seung Won Chae, Hobin Sung, Sung Im Cho, Yeseul Kim and 6 more

Abstract read
PubMed Publisher
In one paragraph

Article in European journal of human genetics : EJHG, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Beyond the sequence.European journal of human genetics : EJHG · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Jee-Soo LeeDepartment of Laboratory Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea.
Kyeong Seon RyuDepartment of Laboratory Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea.ORCID http://orcid.org/0009-0001-0468-074X
Hyesu LeeDepartment of Laboratory Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea.
Hara LimDepartment of Laboratory Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea.
Seonhoo YounDepartment of Laboratory Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea.
Hansol LimDepartment of Laboratory Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea.
Seung Won ChaeDepartment of Laboratory Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0002-5072-8679
Hobin SungDepartment of Laboratory Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea.ORCID http://orcid.org/0009-0006-8338-0716
Sung Im ChoDepartment of Laboratory Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea.
Yeseul KimDepartment of Laboratory Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea.
Joo Won JangDepartment of Laboratory Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0003-4927-7222
Hoyeon LeeDepartment of Laboratory Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0002-1026-1744
Jin Sook LeeDepartment of Pediatrics, Seoul National University Hospital Child Cancer and Rare Disease Administration, Seoul National University Children's Hospital, Seoul, Republic of Korea.
Jung Min KoDepartment of Pediatrics, Seoul National University Children's Hospital, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0002-0407-7828
Jong-Hee ChaeDepartment of Pediatrics, Seoul National University Children's Hospital, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0002-9162-0138
Moon-Woo SeongDepartment of Laboratory Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea. mwseong@snu.ac.kr.ORCID http://orcid.org/0000-0003-2954-3677

Funding

Seoul National University Hospital (SNUH) 25B-001-0200
6 · The paper itself

Abstract

Short-read sequencing (SRS)-based disease-targeted NGS gene panels have revolutionized rare disease diagnostics but often leave autosomal recessive cases unsolved when only one pathogenic allele is detected. Missing variants may reside in deep intronic regions or involve structural variants (SVs) undetectable by SRS. To improve diagnostic yield, we implemented a cost-effective target capture-based long-read sequencing (LRS) assay covering 56 genes and retrospectively analyzed 78 patients suspected of autosomal recessive disorders who remained undiagnosed after SRS. Functional validation using reverse transcription PCR (RT-PCR) and minigene assays was performed to further determine pathogenicity. Target capture-based LRS solved 25.6% (20/78) of cases by identifying 10 SVs, 3 deep intronic variants experimentally confirmed to cause aberrant splicing, and 7 cases in which haplotype phasing confirmed that variants were in trans with the known pathogenic variant, leading to reclassification of the VUS as likely pathogenic. This study demonstrates that target capture-based LRS effectively detects diverse types of variants missed by SRS. Integrating this assay into stepwise diagnostic workflows offers a practical and cost-effective strategy to enhance diagnostic yield in autosomal recessive diseases. However, because this cohort was retrospectively defined based on a prior single-allele detection by SRS, this 25.6% (20/78) diagnostic yield reflects performance within a highly enriched population and should not be directly extrapolated to unselected rare disease cohorts.

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.