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Optical Genome Mapping for a Patient with a Congenital Disorder and Chromosomal Translocation.
Ogiwara, Yasuko; Hattori, Atsushi; Ikegawa, Kento; Hasegawa, Yukihiro; Kuroki, Yoko; Miyado, Mami; Fukami, Maki.
Afiliação
  • Ogiwara Y; Department of Molecular Endocrinology, National Research Institute for Child Health and Development, Tokyo, Japan.
  • Hattori A; Division of Endocrinology and Metabolism, Tokyo Metropolitan Children's Medical Center, Tokyo, Japan.
  • Ikegawa K; Department of Advanced Pediatric Medicine, Tohoku University School of Medicine, Tokyo, Japan.
  • Hasegawa Y; Department of Molecular Endocrinology, National Research Institute for Child Health and Development, Tokyo, Japan.
  • Kuroki Y; Division of Diversity Research, National Research Institute for Child Health and Development, Tokyo, Japan.
  • Miyado M; Division of Endocrinology and Metabolism, Tokyo Metropolitan Children's Medical Center, Tokyo, Japan.
  • Fukami M; Division of Endocrinology and Metabolism, Tokyo Metropolitan Children's Medical Center, Tokyo, Japan.
Cytogenet Genome Res ; 162(11-12): 617-624, 2022.
Article em En | MEDLINE | ID: mdl-37231804
We performed optical genome mapping (OGM), a newly developed cytogenetic technique, for a patient with a disorder of sex development (DSD) and a 46,XX,t(9;11)(p22;p13) karyotype. The results of OGM were validated using other methods. OGM detected a 9;11 reciprocal translocation and successfully mapped its breakpoints to small regions of 0.9-12.3 kb. OGM identified 46 additional small structural variants, only three of which were detected by array-based comparative genomic hybridization. OGM suggested the presence of complex rearrangements on chromosome 10; however, these variants appeared to be artifacts. The 9;11 translocation was unlikely to be associated with DSD, while the pathogenicity of the other structural variants remained unknown. These results indicate that OGM is a powerful tool for detecting and characterizing chromosomal structural variations, although the current methods of OGM data analyses need to be improved.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article