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Clinical Validation of Tagmentation-Based Genome Sequencing for Germline Disorders.
Shen, Wei; Sellers, Heidi L; Choate, Lauren A; Stein, Mariam I; Tandale, Pratyush P; Tan, Jiayu; Setlem, Rohit; Sakai, Yuta; Fadra, Numrah; Sosa, Carlos; McClelland, Shawn P; Barnett, Sarah S; Rasmussen, Kristen J; Runke, Cassandra K; Smoley, Stephanie A; Tillmans, Lori S; Marcou, Cherisse A; Rowsey, Ross A; Thorland, Erik C; Boczek, Nicole J; Kearney, Hutton M.
Afiliación
  • Shen W; Division of Laboratory Genetics and Genomics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota. Electronic address: shen.wei@mayo.edu.
  • Sellers HL; Division of Laboratory Genetics and Genomics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota.
  • Choate LA; Division of Laboratory Genetics and Genomics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota.
  • Stein MI; Division of Computational Biology, Mayo Clinic Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota.
  • Tandale PP; Division of Computational Biology, Mayo Clinic Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota.
  • Tan J; Division of Computational Biology, Mayo Clinic Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota.
  • Setlem R; Division of Computational Biology, Mayo Clinic Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota.
  • Sakai Y; Division of Computational Biology, Mayo Clinic Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota.
  • Fadra N; Division of Computational Biology, Mayo Clinic Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota.
  • Sosa C; Division of Computational Biology, Mayo Clinic Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota.
  • McClelland SP; Division of Computational Biology, Mayo Clinic Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota.
  • Barnett SS; Division of Laboratory Genetics and Genomics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota.
  • Rasmussen KJ; Division of Laboratory Genetics and Genomics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota.
  • Runke CK; Division of Laboratory Genetics and Genomics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota.
  • Smoley SA; Division of Laboratory Genetics and Genomics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota.
  • Tillmans LS; Division of Laboratory Genetics and Genomics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota.
  • Marcou CA; Division of Laboratory Genetics and Genomics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota.
  • Rowsey RA; Division of Laboratory Genetics and Genomics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota.
  • Thorland EC; Division of Laboratory Genetics and Genomics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota.
  • Boczek NJ; Division of Laboratory Genetics and Genomics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota.
  • Kearney HM; Division of Laboratory Genetics and Genomics, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota. Electronic address: kearney.hutton@mayo.edu.
J Mol Diagn ; 25(7): 524-531, 2023 07.
Article en En | MEDLINE | ID: mdl-37088140
ABSTRACT
Genome sequencing (GS) is a powerful clinical tool used for the comprehensive diagnosis of germline disorders. GS library preparation typically involves mechanical DNA fragmentation, end repair, and bead-based library size selection followed by adapter ligation, which can require a large amount of input genomic DNA. Tagmentation using bead-linked transposomes can simplify the library preparation process and reduce the DNA input requirement. Here we describe the clinical validation of tagmentation-based PCR-free GS as a clinical test for rare germline disorders. Compared with the Genome-in-a-Bottle Consortium benchmark variant sets, GS had a recall >99.7% and a precision of 99.8% for single nucleotide variants and small insertion-deletions. GS also exhibited 100% sensitivity for clinically reported sequence variants and the copy number variants examined. Furthermore, GS detected mitochondrial sequence variants above 5% heteroplasmy and showed reliable detection of disease-relevant repeat expansions and SMN1 homozygous loss. Our results indicate that while lowering DNA input requirements and reducing library preparation time, GS enables uniform coverage across the genome as well as robust detection of various types of genetic alterations. With the advantage of comprehensive profiling of multiple types of genetic alterations, GS is positioned as an ideal first-tier diagnostic test for germline disorders.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: ADN / Enfermedades Raras Límite: Humans Idioma: En Revista: J Mol Diagn Asunto de la revista: BIOLOGIA MOLECULAR Año: 2023 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: ADN / Enfermedades Raras Límite: Humans Idioma: En Revista: J Mol Diagn Asunto de la revista: BIOLOGIA MOLECULAR Año: 2023 Tipo del documento: Article