Jong Hyeon Ahn, Jihoon G Yoon, Jaeso Cho, Seungbok Lee, Sheehyun Kim, Man Jin Kim, Soo Yeon Kim, Soon-Tae Lee, Kon Chu, Sang Kun Lee, Han-Joon Kim, Jinyoung Youn, Ja-Hyun Jang, Jong-Hee Chae, Jangsup Moon, Jin Whan Cho
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引用次数: 0
Abstract
The global burden of undiagnosed diseases, particularly in adults, is rising due to their significant socioeconomic impact. To address this, we enrolled 232 adult probands with undiagnosed conditions, utilizing bioinformatics tools for genetic analysis. Alongside exome and genome sequencing, repeat-primed PCR and Cas9-mediated nanopore sequencing were applied to suspected short tandem repeat disorders. Probands were classified into probable genetic (n = 128) or uncertain (n = 104) origins. The study found genetic causes in 66 individuals (28.4%) and non-genetic causes in 12 (5.2%), with a longer diagnostic journey for those in the probable genetic group or with pediatric symptom onset, emphasizing the need for increased efforts in these populations. Genetic diagnoses facilitated effective surveillance, cascade screening, drug repurposing, and pregnancy planning. This study demonstrates that integrating sequencing technologies improves diagnostic accuracy, may shorten the time to diagnosis, and enhances personalized management for adults with undiagnosed diseases.
NPJ Genomic MedicineBiochemistry, Genetics and Molecular Biology-Molecular Biology
CiteScore
9.40
自引率
1.90%
发文量
67
审稿时长
17 weeks
期刊介绍:
npj Genomic Medicine is an international, peer-reviewed journal dedicated to publishing the most important scientific advances in all aspects of genomics and its application in the practice of medicine.
The journal defines genomic medicine as "diagnosis, prognosis, prevention and/or treatment of disease and disorders of the mind and body, using approaches informed or enabled by knowledge of the genome and the molecules it encodes." Relevant and high-impact papers that encompass studies of individuals, families, or populations are considered for publication. An emphasis will include coupling detailed phenotype and genome sequencing information, both enabled by new technologies and informatics, to delineate the underlying aetiology of disease. Clinical recommendations and/or guidelines of how that data should be used in the clinical management of those patients in the study, and others, are also encouraged.