Evidence map›Paper›PMID 40226308›Full record

ArticleHuman mutation2025

Genome Sequencing of Rare Disease Patients Through the Korean Regional Rare Disease Diagnostic Support Program.

Rin Khang, Hane Lee, Jihye Kim, Dongseok Moon, Seokhui Jang, Eugene Lee, Yongjun Song, Seung Woo Ryu, Sohyun Lee, Heonjong Han and 16 more

Abstract read
In one paragraph

Article in Human mutation, 2025. 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
–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

4 citing papers in PubMed.

  1. AlphaGenome Atlas:medRxiv : the preprint server for health sciences · 2026
    Article
  2. Article
  3. Article
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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

26 authors.

Rin KhangMedical Genetics Division, 3billion Inc., Seoul, Republic of Korea.ORCID 0000-0002-8517-133X
Hane LeeMedical Genetics Division, 3billion Inc., Seoul, Republic of Korea.ORCID 0000-0002-4736-0412
Jihye KimMedical Genetics Division, 3billion Inc., Seoul, Republic of Korea.ORCID 0000-0001-6231-1910
Dongseok MoonMedical Genetics Division, 3billion Inc., Seoul, Republic of Korea.ORCID 0000-0001-7474-7252
Seokhui JangMedical Genetics Division, 3billion Inc., Seoul, Republic of Korea.ORCID 0000-0002-1706-4751
Eugene LeeMedical Genetics Division, 3billion Inc., Seoul, Republic of Korea.ORCID 0000-0002-1579-0354
Yongjun SongMedical Genetics Division, 3billion Inc., Seoul, Republic of Korea.ORCID 0000-0003-2519-2953
Seung Woo RyuMedical Genetics Division, 3billion Inc., Seoul, Republic of Korea.ORCID 0000-0003-3509-1208
Sohyun LeeMedical Genetics Division, 3billion Inc., Seoul, Republic of Korea.ORCID 0009-0003-5381-7831
Heonjong HanResearch and Development Center, 3billion Inc., Seoul, Republic of Korea.ORCID 0000-0001-9821-9294
Sukwon KimResearch and Development Center, 3billion Inc., Seoul, Republic of Korea.ORCID 0000-0003-2459-1944
Sohyun JangResearch and Development Center, 3billion Inc., Seoul, Republic of Korea.ORCID 0009-0000-4221-6641
Young Bae SohnRare Disease Center of Southern Gyeonggi Region, Department of Medical Genetics, Ajou University Hospital, Ajou University School of Medicine, Suwon, Republic of Korea.
Won Seop KimRare Disease Center of Chungbuk Region, Department of Pediatrics, Chungbuk National University Hospital, Cheongju, Republic of Korea.
Ji-Eun LeeRare Disease Center of Northwestern Gyeonggi Province, Department of Pediatrics, Inha University Hospital, Incheon, Republic of Korea.ORCID 0000-0002-7386-0015
Juwon KimRare Disease Center of Gangwon Region, Yonsei University Wonju College of Medicine, Wonju Severance Christian Hospital, Wonju, Republic of Korea.
Yonggon ChoJeonbuk Regional Center for Rare Diseases, Department of Laboratory Medicine, Jeonbuk National University Hospital, Jeonju, Republic of Korea.
Bo Lyun LeeRare Disease Center of Busan Region, Department of Pediatrics, Busan Paik Hospital, Inje University College of Medicine, Busan, Republic of Korea.
Han Hyuk LimRare Disease Center of Chungnam Region, Department of Pediatrics, Chungnam National University Hospital, Chungnam National University College of Medicine, Daejeon, Republic of Korea.
Hoon KookRare Disease Center of Chonnam Region, Department of Pediatrics, Chonnam National University Hwasun Hospital, Gwangju, Republic of Korea.
Ki-Soo KangRare Disease Center of Jeju Region, Department of Pediatrics, Jeju National University Hospital, Jeju National University College of Medicine, Jeju, Republic of Korea.
Soonhak KwonRare Disease Center for Daegu/Gyeongbuk Region and Department of Pediatrics, Kyungpook National University Children's Hospital and School of Medicine, Kyungpook National University, Daegu, Republic of Korea.
Jiwon LeeDivision of Rare Disease Management, Korea Disease Control and Prevention Agency, Cheongju, Republic of Korea.
Go Hun SeoMedical Genetics Division, 3billion Inc., Seoul, Republic of Korea.ORCID 0000-0003-1518-1791
Seung Hwan OhDepartment of Laboratory Medicine, Pusan National University Yangsan Hospital, Pusan National University School of Medicine, Yangsan, Republic of Korea.ORCID 0000-0002-1946-9939
Chong Kun CheonRare Disease Center of Gyeongnam Region, Department of Pediatrics, Pusan National University Children's Hospital, Pusan National University School of Medicine, Yangsan, Republic of Korea.ORCID 0000-0002-8609-5826

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Affecting fewer than 20,000 people as defined in South Korea, rare diseases pose significant diagnostic challenges due to their diverse manifestations and genetic heterogeneity. Genome sequencing (GS) offers a promising solution by enabling simultaneous screening for thousands of rare genetic disorders. This study explores the diagnostic utility and necessity of GS within the government-funded Korean Regional Rare Disease Diagnostic Support Program (KR-RDSP), a collaborative initiative involving 11 regional rare disease centers across Korea. The program was launched as a proof-of-concept study in 2023 to equip the genetic clinics with a diagnostic tool to expedite the diagnoses for rare disease patients who reside outside the urban Seoul region where diagnostic resources are limited. The study leveraged GS to diagnose a cohort of 400 patients exhibiting a wide spectrum of symptoms. The overall diagnostic yield was 36.3% (145/400), with 4.8% (7/145) of the diagnosed patients being reported with variants that could not have been identified by chromosomal microarray or exome sequencing (ES), highlighting the added value of comprehensive genomic analysis. The implementation of a centralized GS analysis system streamlined the diagnostic process, enabling timely reporting within a reasonable turnaround time of ≤ 35 days. Segregation analysis by Sanger sequencing played a crucial role in confirming or reclassifying variant pathogenicity by elucidating inheritance patterns. Here, we summarize diagnostic statistics from the 400 GS dataset gathered from June 2023 to December 2023 and show interesting and informative case examples that illustrate the diagnostic efficacy of GS, highlighting its ability to uncover elusive genetic etiologies and provide personalized treatment insights. The study also highlights the successful implementation of the program for the 11 regional rare disease centers across Korea with a practical workflow, comprehensive testing, comparable diagnostic yield to previous reports, and, most importantly, reasonable turnaround time.

Indexed as

Rare DiseasesWhole Genome SequencingFemaleGenetic TestingGenome, HumanGenomicsHumansMaleRepublic of Korea

Identifiers

PMID40226308
PMCPMC11987077

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Registered trials

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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.