Linked-read whole-genome sequencing resolves common and private structural variants in multiple myeloma

Author:

Peña-Pérez Lucía12ORCID,Frengen Nicolai12ORCID,Hauenstein Julia12ORCID,Gran Charlotte23,Gustafsson Charlotte12,Eisfeldt Jesper45,Kierczak Marcin6,Taborsak-Lines Fanny7ORCID,Olsen Remi-André8,Wallblom Ann23,Krstic Aleksandra9,Ewels Philip8,Lindstrand Anna410,Månsson Robert1211ORCID

Affiliation:

1. 1Department of Laboratory Medicine,

2. 2Center for Hematology and Regenerative Medicine,

3. 3Department of Medicine, and

4. 4Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden;

5. 5Science for Life Laboratory, Karolinska Institutet Science Park, Stockholm, Sweden;

6. 6Department of Cell and Molecular Biology, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Uppsala University, Uppsala, Sweden;

7. 7Division of Gene Technology, Royal Institute of Technology, Stockholm, Sweden;

8. 8Department of Biochemistry and Biophysics, Science for Life Laboratory, Stockholm University, Stockholm, Sweden; and

9. 9Department of Clinical Pathology and Cytology,

10. 10Department of Clinical Genetics, and

11. 11Department of Hematology, Karolinska University Hospital, Stockholm, Sweden

Abstract

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.

Publisher

American Society of Hematology

Subject

Hematology

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