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Am J Med Genet A ; 194(9): e63646, 2024 09.
Article in English | MEDLINE | ID: mdl-38702915

ABSTRACT

Molecular genetics enables more precise diagnoses of skeletal dysplasia and other skeletal disorders (SDs). We investigated the clinical utility of multigene panel testing for 5011 unrelated individuals with SD in the United States (December 2019-April 2022). Median (range) age was 8 (0-90) years, 70.5% had short stature and/or disproportionate growth, 27.4% had a positive molecular diagnosis (MDx), and 30 individuals received two MDx. Genes most commonly contributing to MDx were FGFR3 (16.9%), ALPL (13.0%), and COL1A1 (10.3%). Most of the 112 genes associated with ≥1 MDx were primarily involved in signal transduction (n = 35), metabolism (n = 23), or extracellular matrix organization (n = 17). There were implications associated with specific care/treatment options for 84.4% (1158/1372) of MDx-positive individuals; >50% were linked to conditions with targeted therapy approved or in clinical development, including osteogenesis imperfecta, achondroplasia, hypophosphatasia, and mucopolysaccharidosis. Forty individuals with initially inconclusive results became MDx-positive following family testing. Follow-up mucopolysaccharidosis enzyme activity testing was positive in 14 individuals (10 of these were not MDx-positive). Our findings showed that inclusion of metabolic genes associated with SD increased the clinical utility of a gene panel and confirmed that integrated use of comprehensive gene panel testing with orthogonal testing reduced the burden of inconclusive results.


Subject(s)
Genetic Testing , Humans , Child , Child, Preschool , Adolescent , Male , Female , Infant , Adult , Infant, Newborn , Genetic Testing/methods , Middle Aged , Young Adult , Aged , Aged, 80 and over , Bone Diseases, Developmental/genetics , Bone Diseases, Developmental/diagnosis , Receptor, Fibroblast Growth Factor, Type 3/genetics , Osteogenesis Imperfecta/genetics , Osteogenesis Imperfecta/diagnosis , Osteogenesis Imperfecta/pathology , Cohort Studies
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