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Molecular Outcome, Prediction, and Clinical Consequences of Splice Variants in COL1A1, Which Encodes the proα1(I) Chains of Type I Procollagen.
Schleit, Jennifer; Bailey, Samuel S; Tran, Thao; Chen, Diana; Stowers, Susan; Schwarze, Ulrike; Byers, Peter H.
Afiliação
  • Schleit J; Departments of Pathology and Medicine (Medical Genetics), University of Washington, Seattle, Washington.
  • Bailey SS; Departments of Pathology and Medicine (Medical Genetics), University of Washington, Seattle, Washington.
  • Tran T; Departments of Pathology and Medicine (Medical Genetics), University of Washington, Seattle, Washington.
  • Chen D; Departments of Pathology and Medicine (Medical Genetics), University of Washington, Seattle, Washington.
  • Stowers S; Departments of Pathology and Medicine (Medical Genetics), University of Washington, Seattle, Washington.
  • Schwarze U; Departments of Pathology and Medicine (Medical Genetics), University of Washington, Seattle, Washington.
  • Byers PH; Departments of Pathology and Medicine (Medical Genetics), University of Washington, Seattle, Washington.
Hum Mutat ; 36(7): 728-39, 2015 Jul.
Article em En | MEDLINE | ID: mdl-25963598
ABSTRACT
Approximately 10%-20% of germline pathogenic variants alter mRNA splicing, with phenotypes often dependent on the stability of the mRNA produced by the mutant allele. To better understand the relationships between genotype, mRNA splicing, and phenotype, we examined clinical and molecular data from 243 probands with osteogenesis imperfecta (OI) representing 145 unique splicing variants within the type I procollagen gene, COL1A1. All individuals with IVSX-1G>A mutations had OI type I because the substitution shifted the splice acceptor site 1 nt downstream and destabilized the mRNA. OI phenotypes were not consistent for any other splice variant identified. We sequenced all cDNA species from cultured dermal fibroblasts from 40 individuals to identify splice outcome and compared those results to splice predictions from Human Splice Finder (HSF), Spliceport (SP), and Automatic Splice Site and Exon Definition Analyses (ASSEDA). Software-based splice predictions were correct in 42%, 55%, and 74% instances for HSF, SP, and ASSEDA, respectively. As molecular diagnostics move increasingly to DNA sequence analysis, the need to understand the effects of splice site variants will increase. These data demonstrate that caution must be exercised when using splice prediction software to predict splice outcome.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Splicing de RNA / Colágeno Tipo I Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Child / Child, preschool / Female / Humans / Infant / Middle aged / Newborn / Pregnancy Idioma: En Ano de publicação: 2015 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Splicing de RNA / Colágeno Tipo I Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Child / Child, preschool / Female / Humans / Infant / Middle aged / Newborn / Pregnancy Idioma: En Ano de publicação: 2015 Tipo de documento: Article