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Background: The Korean Undiagnosed Diseases Program (KUDP) was launched in January 2017 as a one-year pilot project to address the increasing global interest in patients with undiagnosed rare diseases. The purpose of this paper is to summarize the project results and emphasize the unmet research needs among patients with undiagnosed rare diseases in Korea.
Results: Patient enrollment, assessment, and diagnostic processes were determined by the KUDP clinical expert consortium. Patients followed a diagnostic workflow after being categorized into one of four groups: I) insufficient clinical information or lack of standard diagnostic processes; II) undiagnosed due to low disease awareness; III) clinically diagnosed but unconfirmed genetically due to genetic heterogeneities; or IV) unknown disease due to complex, atypical clinical presentations. After excluding two patients from group I, 97 patients were enrolled, including 10 in group II, 67 in group III, and 20 in group IV. Most of them (92 of 97, 94.8%) were pediatric patients (< 18 years old) and 59 (60.8%) were male. The primary symptoms for 80 patients (82.5%) were neurologic. During the one-year pilot study, 72 patients completed a diagnostic assessment including clinical and molecular genetic analyses; some patients also underwent pathological or biochemical analysis. Twenty-eight of these patients (28/72, 38.9%) achieved molecular genetic diagnosis. Thirteen patients were diagnosed based on traditional tests, including biochemical assay, single or targeted genetic analysis, and chromosomal microarray. We performed whole exome sequencing on 52 patients, among whom 15 (28.8%, 15/52) reached a final diagnosis. One new disorder was identified via international collaboration.
Conclusions: Using an efficient clinical diagnostic workflow, this KUDP pilot study resulted in a fair diagnostic success rate, improving the potential for additional diagnoses and new scientific discovery of complex and rare diseases. KUDP also satisfied unmet needs for rare diseases with multisystem involvement, highlighting the value of emerging genomic technologies for further research into rare and still-undiagnosed conditions.
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http://dx.doi.org/10.1186/s13023-019-1041-5 | DOI Listing |
Sci Rep
July 2025
Department of Life Science, Handong Global University, Pohang, Republic of Korea.
The prevalence of type 2 diabetes mellitus (T2DM) in Korea has risen in recent years, yet many cases remain undiagnosed. Advanced artificial intelligence models using multi-modal data have shown promise in disease prediction, but two major challenges persist: the scarcity of samples containing all desired data modalities and class imbalance in T2DM datasets. We propose a novel transfer learning framework to predict T2DM onset within five years, using two Korean cohorts (KoGES and SNUH).
View Article and Find Full Text PDFJ Korean Med Sci
June 2025
Department of Medicine, Kyung Hee University College of Medicine, Seoul, Korea.
Background: In the context of increased health risks for individuals with underlying conditions due to the coronavirus disease 2019 (COVID-19) pandemic, this study investigated whether dietary improvements differ based on the diagnosis of chronic diseases.
Methods: This study used data from the Korea National Health and Nutrition Examination Survey from 2013 to 2021, including 45,391 individuals aged 19 years and older. Diet quality was assessed by the Korean Healthy Eating Index (KHEI) scores.
Sci Rep
March 2025
Department of Ophthalmology, Kim's Eye Hospital, #156 Youngdeungpo-dong 4ga, Youngdeungpo-gu, Seoul, 150-034, South Korea.
This study aimed to evaluate the prevalence and risk factors for undiagnosed age-related macular degeneration (AMD) in the Korean population. This cross-sectional study utilized data from the Korea National Health and Nutrition Examination Survey (KNHANES 2017-2020), which included a total of 13,737 subjects of 40 years or older. Cases in which AMD was identified through imaging interpretation of the KNHANES data, but the patients had not received a prior medical diagnosis of AMD, were classified as undiagnosed AMD.
View Article and Find Full Text PDFEur J Hum Genet
February 2025
Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Spinocerebellar ataxias (SCAs) represent a diverse group of neurodegenerative disorders characterized by progressive cerebellar ataxia. In South Korea, diagnostic laboratories typically focus on common SCA subtypes, leaving the prevalence of rare SCAs uncertain. This study aimed to explore the frequency of rarer forms of SCA, including SCA10, 12, 31, and 36 utilizing molecular techniques including long-read sequencing (LRS).
View Article and Find Full Text PDFJ Korean Med Sci
January 2025
Department of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Background: In 2023, we experienced an outbreak from a case of undiagnosed crusted scabies, resulting in a significant number of exposed individuals and secondary cases. In this report, we describe the outbreak control measures, the attack rate, and the risk factors for acquisition of scabies among healthcare workers (HCWs).
Methods: This study was conducted in a 2,700-bed tertiary care hospital in Seoul, South Korea.