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British Journal of Haematology
Article . 2019 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
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A decade with whole exome sequencing in haematology

Authors: Marcus C. Hansen; Torsten Haferlach; Charlotte G. Nyvold;

A decade with whole exome sequencing in haematology

Abstract

SummaryThe first decade of capture‐based targeted whole exome sequencing (WES) has now passed, while the sequencing modality continues to find more widespread usage in clinical research laboratories and still offers an unprecedented diagnostic assay in terms of throughput, informational content and running costs. Until quite recently, WES has been out of reach for many clinicians and molecular biologists, and it still poses issues or is met with some reluctance with regards to cost versus benefit in terms of effective assay costs, hands‐on laboratory work and data analysis bottlenecks. Although WES is used more than ever, it may also be argued that the usage is peaking and that new implementations, or relevance in its current state, will likely be leveling off during the following decade as the price on whole genome sequencing continues to drop. In this review, we focus on the past decade of targeted whole exome sequencing in malignant hematology. We thematically revisit some of the significant discoveries and niches that use next‐generation sequencing, and we outline what and how WES has contributed to the field – from clonal hematopoiesis of the aging bone marrow to profiling malignancies down to the single cell.

Country
Denmark
Keywords

next generation sequencing, whole genome sequencing, Myeloproliferative Disorders, targeted panel sequencing, Lymphoproliferative Disorders, whole exome sequencing, Hematopoiesis, laboratory hematology, Leukemia, Myeloid, Acute, Hematologic Neoplasms, Mutation, Exome Sequencing, Humans, Genetic Predisposition to Disease, sequencing anniversary

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    30
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
30
Top 10%
Top 10%
Top 10%
Green
bronze