Kyung Sun Park,Sunghwan Shin,Jong-Ho Park,Young-Eun Kim,Won Kyung Kwon,Min-Kyung So,Changhee Ha,Ja-Hyun Jang,Taeheon Lee,Chang-Seok Ki,Yoonjung Kim,Kyung-A Lee,Inho Park,Sejoon Lee,Hong-Hee Won, ,Jong-Won Kim
{"title":"Applying National Whole-genome Sequencing Findings for Rare Diseases in Clinical Practice: The Imperative of a Multidisciplinary Approach.","authors":"Kyung Sun Park,Sunghwan Shin,Jong-Ho Park,Young-Eun Kim,Won Kyung Kwon,Min-Kyung So,Changhee Ha,Ja-Hyun Jang,Taeheon Lee,Chang-Seok Ki,Yoonjung Kim,Kyung-A Lee,Inho Park,Sejoon Lee,Hong-Hee Won, ,Jong-Won Kim","doi":"10.3343/alm.2025.0112","DOIUrl":null,"url":null,"abstract":"Background\r\nAs nationwide government-led whole-genome sequencing (WGS) projects progress, optimizing the clinical integration of large-scale WGS results is crucial. We explored how the initial analysis from Korea's First WGS Pilot Study for Rare Diseases was applied in clinical practice, and then we reanalyzed the data comprehensively at Samsung Medical Center (SMC) Seoul, Korea.\r\n\r\nMethods\r\nA prospective cohort study designed to collect WGS data under a Korean national initiative was conducted from August 2020 to December 2021. We focused on patients with rare diseases recruited from 16 university hospitals. The participants included 5,000 individuals (2,200 probands and 2,800 family members). The initial WGS data and diagnostic reference reports (from 682 probands and 484 family members), generated based on the First Korean WGS Pilot Study for Rare Diseases, were subsequently reanalyzed by SMC.\r\n\r\nResults\r\nThe initial analysis of the First Korean WGS Pilot Study data revealed a diagnostic rate of 17%. Upon receiving these results, the SMC conducted two rounds of reanalysis, increasing the diagnostic rate from 15% in the first analysis, to 18% in the second, and finally to 24% in the third (P =1.6×10-5). Key factors in improving the genetic diagnosis included increased detection of novel (likely) pathogenic variants (P =1.0×10-4), improved diagnostic rates with larger family recruitment (P =0.004), and refined clinical information for more precise genotype-phenotype correlation analysis (40%).\r\n\r\nConclusions\r\nAlthough national WGS projects lay a foundation for rare disease diagnosis, hospital-level reanalysis and multidisciplinary collaborations are crucial for optimizing diagnostic outcomes.","PeriodicalId":8421,"journal":{"name":"Annals of Laboratory Medicine","volume":"35 1","pages":""},"PeriodicalIF":3.9000,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Laboratory Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3343/alm.2025.0112","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MEDICAL LABORATORY TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Background
As nationwide government-led whole-genome sequencing (WGS) projects progress, optimizing the clinical integration of large-scale WGS results is crucial. We explored how the initial analysis from Korea's First WGS Pilot Study for Rare Diseases was applied in clinical practice, and then we reanalyzed the data comprehensively at Samsung Medical Center (SMC) Seoul, Korea.
Methods
A prospective cohort study designed to collect WGS data under a Korean national initiative was conducted from August 2020 to December 2021. We focused on patients with rare diseases recruited from 16 university hospitals. The participants included 5,000 individuals (2,200 probands and 2,800 family members). The initial WGS data and diagnostic reference reports (from 682 probands and 484 family members), generated based on the First Korean WGS Pilot Study for Rare Diseases, were subsequently reanalyzed by SMC.
Results
The initial analysis of the First Korean WGS Pilot Study data revealed a diagnostic rate of 17%. Upon receiving these results, the SMC conducted two rounds of reanalysis, increasing the diagnostic rate from 15% in the first analysis, to 18% in the second, and finally to 24% in the third (P =1.6×10-5). Key factors in improving the genetic diagnosis included increased detection of novel (likely) pathogenic variants (P =1.0×10-4), improved diagnostic rates with larger family recruitment (P =0.004), and refined clinical information for more precise genotype-phenotype correlation analysis (40%).
Conclusions
Although national WGS projects lay a foundation for rare disease diagnosis, hospital-level reanalysis and multidisciplinary collaborations are crucial for optimizing diagnostic outcomes.
期刊介绍:
Annals of Laboratory Medicine is the official journal of Korean Society for Laboratory Medicine. The journal title has been recently changed from the Korean Journal of Laboratory Medicine (ISSN, 1598-6535) from the January issue of 2012. The JCR 2017 Impact factor of Ann Lab Med was 1.916.