| Literature DB >> 35899841 |
Samir Al-Ali1, Lauren Jeffries1, E Vincent S Faustino1, Weizhen Ji1, Emily Mis1, Monica Konstantino1, Cynthia Zerillo1, Yong-Hui Jiang1,2, Michele Spencer-Manzon1,2, Allen Bale2, Hui Zhang2, Julie McGlynn1,2, James M McGrath2, Thierry Tremblay3, Nina N Brodsky1, Carrie L Lucas4, Richard Pierce1, Engin Deniz1, Mustafa K Khokha1,2, Saquib A Lakhani1.
Abstract
The Pediatric Genomics Discovery Program (PGDP) at Yale uses next-generation sequencing (NGS) and translational research to evaluate complex patients with a wide range of phenotypes suspected to have rare genetic diseases. We conducted a retrospective cohort analysis of 356 PGDP probands evaluated between June 2015 and July 2020, querying our database for participant demographics, clinical characteristics, NGS results, and diagnostic and research findings. The three most common phenotypes among the entire studied cohort (n = 356) were immune system abnormalities (n = 105, 29%), syndromic or multisystem disease (n = 103, 29%), and cardiovascular system abnormalities (n = 62, 17%). Of 216 patients with final classifications, 77 (36%) received new diagnoses and 139 (64%) were undiagnosed; the remaining 140 patients were still actively being investigated. Monogenetic diagnoses were found in 67 (89%); the largest group had variants in known disease genes but with new contributions such as novel variants (n = 31, 40%) or expanded phenotypes (n = 14, 18%). Finally, five PGDP diagnoses (8%) were suggestive of novel gene-to-phenotype relationships. A broad range of patients can benefit from single subject studies combining NGS and functional molecular analyses. All pediatric providers should consider further genetics evaluations for patients lacking precise molecular diagnoses.Entities:
Keywords: functional characterization; gene discovery; genetic reanalysis; next generation sequencing (NGS); single subject studies; undiagnosed disease
Mesh:
Year: 2022 PMID: 35899841 PMCID: PMC9474639 DOI: 10.1002/ajmg.a.62918
Source DB: PubMed Journal: Am J Med Genet A ISSN: 1552-4825 Impact factor: 2.578