Your browser doesn't support javascript.
loading
Linked-read whole-genome sequencing resolves common and private structural variants in multiple myeloma.
Peña-Pérez, Lucía; Frengen, Nicolai; Hauenstein, Julia; Gran, Charlotte; Gustafsson, Charlotte; Eisfeldt, Jesper; Kierczak, Marcin; Taborsak-Lines, Fanny; Olsen, Remi-André; Wallblom, Ann; Krstic, Aleksandra; Ewels, Philip; Lindstrand, Anna; Månsson, Robert.
Afiliación
  • Peña-Pérez L; Department of Laboratory Medicine.
  • Frengen N; Center for Hematology and Regenerative Medicine.
  • Hauenstein J; Department of Laboratory Medicine.
  • Gran C; Center for Hematology and Regenerative Medicine.
  • Gustafsson C; Department of Laboratory Medicine.
  • Eisfeldt J; Center for Hematology and Regenerative Medicine.
  • Kierczak M; Center for Hematology and Regenerative Medicine.
  • Taborsak-Lines F; Department of Medicine, and.
  • Olsen RA; Department of Laboratory Medicine.
  • Wallblom A; Center for Hematology and Regenerative Medicine.
  • Krstic A; Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden.
  • Ewels P; Science for Life Laboratory, Karolinska Institutet Science Park, Stockholm, Sweden.
  • Lindstrand A; Department of Cell and Molecular Biology, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
  • Månsson R; Division of Gene Technology, Royal Institute of Technology, Stockholm, Sweden.
Blood Adv ; 6(17): 5009-5023, 2022 09 13.
Article en En | MEDLINE | ID: mdl-35675515
ABSTRACT
Multiple myeloma (MM) is an incurable and aggressive plasma cell malignancy characterized by a complex karyotype with multiple structural variants (SVs) and copy-number variations (CNVs). Linked-read whole-genome sequencing (lrWGS) allows for refined detection and reconstruction of SVs by providing long-range genetic information from standard short-read sequencing. This makes lrWGS an attractive solution for capturing the full genomic complexity of MM. Here we show that high-quality lrWGS data can be generated from low numbers of cells subjected to fluorescence-activated cell sorting (FACS) without DNA purification. Using this protocol, we analyzed MM cells after FACS from 37 patients with MM using lrWGS. We found high concordance between lrWGS and fluorescence in situ hybridization (FISH) for the detection of recurrent translocations and CNVs. Outside of the regions investigated by FISH, we identified >150 additional SVs and CNVs across the cohort. Analysis of the lrWGS data allowed for resolution of the structure of diverse SVs affecting the MYC and t(11;14) loci, causing the duplication of genes and gene regulatory elements. In addition, we identified private SVs causing the dysregulation of genes recurrently involved in translocations with the IGH locus and show that these can alter the molecular classification of MM. Overall, we conclude that lrWGS allows for the detection of aberrations critical for MM prognostics and provides a feasible route for providing comprehensive genetics. Implementing lrWGS could provide more accurate clinical prognostics, facilitate genomic medicine initiatives, and greatly improve the stratification of patients included in clinical trials.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Mieloma Múltiple Tipo de estudio: Diagnostic_studies / Guideline / Observational_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Blood Adv Año: 2022 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Mieloma Múltiple Tipo de estudio: Diagnostic_studies / Guideline / Observational_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Blood Adv Año: 2022 Tipo del documento: Article
...