Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Genomic landscape and chronological reconstruction of driver events in multiple myeloma

23 Aug 2019

Abstract excerpt

The multiple myeloma (MM) genome is heterogeneous and evolves through preclinical and post-diagnosis phases. Here we report a catalog and hierarchy of driver lesions using sequences from 67 MM genomes serially collected from 30 patients together with public exome datasets. Bayesian clustering defines at least 7 genomic subgroups with distinct sets of co-operating events. Focusing on whole genome sequencing data,...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Amyloidosis: Diagnosis, Treatment, Outcomes
Share to Chromosomal and Genetic Variations
Share to Multiple Myeloma Research and Treatments

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Source

Identifiers

PMID: 31444325
DOI: 10.1038/s41467-019-11680-1

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 23 Oct 2026.

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Genomic landscape and chronological reconstruction of driver events in multiple myelomaPMID 31444325Read ↗

Genomic landscape and chronological reconstruction of driver events in multiple myelomaSemantic proximity Read ↗

Genomic landscape of multiple myeloma and its precursor conditionsSemantic proximity Read ↗

Temporal genomic dynamics shape clinical trajectory in multiple myeloma.Semantic proximity Read ↗

Genomic complexity of multiple myeloma and its clinical implications.Semantic proximity Read ↗

Evolution of multiple myeloma from a genomic perspective.Semantic proximity Read ↗

The biological and clinical impact of deletions before and after large chromosomal gains in multiple myelomaSemantic proximity Read ↗

Temporal Genomic Dynamics Shape Clinical Trajectory in Multiple MyelomaSemantic proximity Read ↗

Structural variants shape the genomic landscape and clinical outcome of multiple myelomaSemantic proximity Read ↗

Genome Instability in Multiple Myeloma: Facts and FactorsSemantic proximity Read ↗

Genome instability in multiple myeloma.Semantic proximity Read ↗

Heterogeneity of genomic evolution and mutational profiles in multiple myeloma.Semantic proximity Read ↗

Reconstructing the evolutionary history of multiple myeloma.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.