RGP demonstrates that a research-based, patient-driven remote sequencing study can effectively bridge a diagnostic gap for rare disease families underserved in current clinical care and underscores the clinical utility of GS with frequent re-analysis.
Abstract
Many individuals with rare monogenic disease remain molecularly undiagnosed due to challenges accessing genetic testing, ambiguity in interpretation of uncertain variants, and latency between novel disease-gene discovery and adoption into clinical pipelines. The Rare Genomes Project (RGP) provides a remote, research-based genomic sequencing (GS) service for rare disease families to overcome diagnostic barriers while advancing the understanding of the genetic basis of rare disease. Short-read GS and family-centered analysis were performed to identify causes of primary disease. Variants meeting return criteria were clinically confirmed and returned to families. Since 2017, RGP enrolled clinically heterogeneous, undiagnosed rare disease families from all fifty states, Washington DC, and Puerto Rico. Findings were returned to 272 of 1014 sequenced families, resulting in a solve rate of 23.3% and a returned strong candidate rate of 3.5%. Condition-specific return rates ranged from 15% to 40% with many families receiving a result in a known disease gene after healthcare access challenges. Research interventions contributed to returns in 16% of all families and included variants in recently discovered or non-coding disease genes, additional functional studies to resolve variant uncertainty, and real-time data sharing to empower novel disease-gene discovery. RGP demonstrates that a research-based, patient-driven remote sequencing study can effectively bridge a diagnostic gap for rare disease families underserved in current clinical care. This study also underscores the clinical utility of GS with frequent re-analysis and highlights the critical continued role of research in variant interpretation, method innovation, and genomic knowledge base expansion for rare disease diagnosis.
Abstract INTRODUCTION Despite major advances in genomic sequencing and analytical pipelines for rare disorders, more than 50% of affected individuals remain without a molecular diagnosis. One challenge is the interpretation of inherited variants exhibiting incomplete penetrance (IP). MATERIALS AND METHODS We developed...
M. Singh, S. Stenton, E. Groopman et al.· medRxiv· 0 citations
Purpose Children with suspected rare genetic disorders often remain undiagnosed after exome, gene panel, or chromosomal microarray testing. We sought to define recurrent missed-diagnosis mechanisms and evaluate an integrated clinical-genomic reanalysis framework. Methods We studied 75 participants with rare or striking...
Hong-Qiu Gu, A. Sabo, S. Jangam et al.· medRxiv· 0 citations
It is demonstrated that serum proteomics can support rare disease diagnosis and identify disease-causing genes in patients undiagnosed after GS, although successful implementation will likely depend on tissue specificity of protein expression, detectability in blood, proteomic platform coverage, and sensitivity.
J. Carrasco-Zanini, J. Andrade, M. Pietzner et al.· Science Translational Medici...· 0 citations
Whole-genome sequencing is increasingly emerging as a first-line genomic strategy for pediatric rare diseases, while complementary technologies, expert phenotyping, and iterative data interpretation remain essential for comprehensive and accurate diagnosis and equitable access to genomic medicine.
Natàlia Caelles-Gramunt, J. Pijuan· Children· 1 citation
WES effectively detects multiple variant types providing crucial insights for precise diagnosis, management, and genetic counseling in children with complex phenotypes, providing crucial insights for precise diagnosis, management, and genetic counseling in children with complex phenotypes.
Min-Jun Zhao, Fu-Wei Li, Xiang-Peng Lu et al.· Orphanet Journal of Rare Dis...· 0 citations
Advances in sequencing technologies have transformed human genetics and accelerated disease gene discovery. Yet a causal mutation remains to be identified for many families with an inherited disease. Incomplete penetrance, genetic heterogeneity, and limited family history can complicate the binary classification of fam...
L. Henden, Sandrine Chan Moi Fat, Andrew N. Smith et al.· Brain : a journal of neurolo...· 0 citations
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