Related Experiment Video
Updated: Jun 11, 2025

Rare Event Detection Using Error-corrected DNA and RNA Sequencing
Published on: August 3, 2018
Accelerating rare disease detection: an experience of multidisciplinary team model in undiagnosed diseases program in
Yu Shi1, Shijian Miao2, Yuan Yuan3
1Outpatient and Emergency Management Office, National Children's Medical Center/Children's Hospital, Fudan University, Shanghai, China.
Insights
A multidisciplinary program successfully diagnosed over 60% of children with undiagnosed rare diseases. This approach is crucial for complex cases, improving diagnostic rates and enabling new discoveries in rare genetic disorders.
Area of Science:
- Medical Genetics
- Pediatrics
- Rare Diseases
Background:
- Undiagnosed disorders in children lead to significant medical, psychological, and social challenges.
- Innovative approaches are needed for diagnosing complex, undiagnosed pediatric conditions beyond specialized centers.
Purpose of the Study:
- To describe the findings of the Children's Undiagnosed Diseases Program (UDP) at Fudan University Children's Hospital.
- To highlight the importance of multidisciplinary teamwork in diagnosing rare diseases in China.
Main Methods:
- Retrospective investigation of 758 cases within the UDP system (March 2016 onwards).
- Collection of demographic, laboratory, and genetic information for all patients.
- Analysis of diagnostic outcomes and the performance of the UDP methodology.
Main Results:
- The UDP diagnosed 61.3% of the 758 pediatric cases, with over half of patients under five years old.
- Neurological, endocrine, and immunological issues were common presenting symptoms.
- Genetic testing yielded a diagnosis in 15.8% of tested patients, with the UDP method showing high sensitivity and specificity.
Conclusions:
- The UDP effectively addresses the unmet need for diagnosing complex, multisystem pediatric illnesses.
- A multidisciplinary team model achieved a significant diagnosis success rate, paving the way for further discoveries in rare diseases.
Background:
A definite diagnosis goes undiscovered for a percentage of children with undiagnosed disorders, with significant medical, psychological, and social effects. Other than specialized clinical centers, exceptional molecular studies, common procedures, and devoted activities at the national and international levels, children with complex undiagnosed disorders require innovative approaches.
Methods:
In March 2016, Children's hospital of Fudan university represented the Children's Undiagnosed Diseases Program (UDP). The purpose of this study is to describe the project findings and underline the critical significance of multidisciplinary teamwork in China's undiagnosed rare illnesses program. We investigated the 758 cases in our UDP system retrospectively. Demographic information, laboratory test results, and genetic information were gathered.
Results:
Between January 2017 and December 2021, 758 cases were examined. Males made up 436 (57.5%) of the total. Over half of the patients were children under the age of five. The average patient course time preceding admission to UDP was 6.0 months (95% CI 10.512.6). These patients visited an average of 1.8 clinics during their diagnostic journey. Except for 69 individuals (90.9%), all had more than one presenting symptom in various organs: 460 (60.7%) had neurology difficulties, 151 (19.9%) had endocrine problems, and 141 (18.6%) had immunology problems. UDP has a diagnosis rate of 61.3%. Genetic testing was performed on 469 of the 758 patients, for a genetic diagnosis rate of 15.8%. The UDP method has a sensitivity of 94.5%, a specificity of 86.4%, a positive predictive value of 92.8%, and an negative predictive value of 89.5%.
Conclusion:
Our UDP targets an unmet need, namely the diagnosis of patients with complicated, multisystem illnesses. Using a multidisciplinary team model approach, this UDP pilot study achieved a reasonable diagnosis success rate, increasing the possibility of more diagnoses and new scientific discoveries of difficult and rare diseases.

