Your browser doesn't support javascript.
loading
High number of candidate gene variants are identified as disease-causing in a period of 4 years.
Hills, Sonia; Li, Qifei; Madden, Jill A; Genetti, Casie A; Brownstein, Catherine A; Schmitz-Abe, Klaus; Beggs, Alan H; Agrawal, Pankaj B.
Afiliação
  • Hills S; Division of Genetics and Genomics, Boston Children's Hospital, Boston, Massachusetts, USA.
  • Li Q; The Manton Center for Orphan Disease Research, Boston Children's Hospital, Boston, Massachusetts, USA.
  • Madden JA; Division of Genetics and Genomics, Boston Children's Hospital, Boston, Massachusetts, USA.
  • Genetti CA; The Manton Center for Orphan Disease Research, Boston Children's Hospital, Boston, Massachusetts, USA.
  • Brownstein CA; Division of Neonatology, Department of Pediatrics, University of Miami Miller School of Medicine and Jackson Health System, Miami, Florida, USA.
  • Schmitz-Abe K; Division of Genetics and Genomics, Boston Children's Hospital, Boston, Massachusetts, USA.
  • Beggs AH; The Manton Center for Orphan Disease Research, Boston Children's Hospital, Boston, Massachusetts, USA.
  • Agrawal PB; Division of Genetics and Genomics, Boston Children's Hospital, Boston, Massachusetts, USA.
Am J Med Genet A ; 194(5): e63509, 2024 May.
Article em En | MEDLINE | ID: mdl-38158391
ABSTRACT
Advances in bioinformatic tools paired with the ongoing accumulation of genetic knowledge and periodic reanalysis of genomic sequencing data have led to an improvement in genetic diagnostic rates. Candidate gene variants (CGVs) identified during sequencing or on reanalysis but not yet implicated in human disease or associated with a phenotypically distinct condition are often not revisited, leading to missed diagnostic opportunities. Here, we revisited 33 such CGVs from our previously published study and determined that 16 of them are indeed disease-causing (novel or phenotype expansion) since their identification. These results emphasize the need to focus on previously identified CGVs during sequencing or reanalysis and the importance of sharing that information with researchers around the world, including relevant functional analysis to establish disease causality.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biologia Computacional / Genômica Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biologia Computacional / Genômica Idioma: En Ano de publicação: 2024 Tipo de documento: Article