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Multiple_Myeloma_Diagnosis_to_Relapse_study_samples

The study will investigate serial samples from the same patient taken at the time of MGUS or SMM diagnosis, and later at the time of evolution towards MM. Samples will be sequenced by whole genome along with a matched normal to obtain the highest possible amount of information toinvestigate genomic changes at disease evolution.

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID Description Technology Samples
EGAD00001001898 HiSeq X Ten 131
EGAD00001003309 HiSeq X Ten 139
Publications Citations
Genomic patterns of progression in smoldering multiple myeloma.
Nat Commun 9: 2018 3363
113
A practical guide for mutational signature analysis in hematological malignancies.
Nat Commun 10: 2019 2969
99
Genomic landscape and chronological reconstruction of driver events in multiple myeloma.
Nat Commun 10: 2019 3835
134
Timing the initiation of multiple myeloma.
Nat Commun 11: 2020 1917
62
IgCaller for reconstructing immunoglobulin gene rearrangements and oncogenic translocations from whole-genome sequencing in lymphoid neoplasms.
Nat Commun 11: 2020 3390
21
Initial Whole-Genome Sequencing of Plasma Cell Neoplasms in First Responders and Recovery Workers Exposed to the World Trade Center Attack of September 11, 2001.
Clin Cancer Res 27: 2021 2111-2118
3
Whole-genome sequencing reveals progressive versus stable myeloma precursor conditions as two distinct entities.
Nat Commun 12: 2021 1861
50
mmsig: a fitting approach to accurately identify somatic mutational signatures in hematological malignancies.
Commun Biol 4: 2021 424
13
Pathogenetic and Prognostic Implications of Increased Mitochondrial Content in Multiple Myeloma.
Cancers (Basel) 13: 2021 3189
1
Copy number signatures predict chromothripsis and clinical outcomes in newly diagnosed multiple myeloma.
Nat Commun 12: 2021 5172
18