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Now showing items 21-28 of 28
Assessing the effect of obesity-related traits on multiple myeloma using a Mendelian randomisation approach.
(NATURE PUBLISHING GROUP, 2017-06-16)
Genome-wide association study identifies multiple susceptibility loci for multiple myeloma.
(NATURE PUBLISHING GROUP, 2016-07-01)
Multiple myeloma (MM) is a plasma cell malignancy with a significant heritable basis. Genome-wide association studies have transformed our understanding of MM predisposition, but individual studies have had limited power ...
Prediction of outcome in newly diagnosed myeloma: a meta-analysis of the molecular profiles of 1905 trial patients.
(NATURE PUBLISHING GROUP, 2018-01-01)
Robust establishment of survival in multiple myeloma (MM) and its relationship to recurrent genetic aberrations is required as outcomes are variable despite apparent similar staging. We assayed copy number alterations (CNA) ...
Daratumumab, Cyclophosphamide, Bortezomib, Lenalidomide, and Dexamethasone as Induction and Extended Consolidation Improves Outcome in Ultra-High-Risk Multiple Myeloma.
(LIPPINCOTT WILLIAMS & WILKINS, 2023-08-10)
PURPOSE: The multicenter OPTIMUM (MUKnine) phase II trial investigated daratumumab, low-dose cyclophosphamide, lenalidomide, bortezomib, and dexamethasone (Dara-CVRd) before and after autologous stem-cell transplant (ASCT) ...
Identification of multiple risk loci and regulatory mechanisms influencing susceptibility to multiple myeloma.
(NATURE PUBLISHING GROUP, 2018-09-13)
Genome-wide association studies (GWAS) have transformed our understanding of susceptibility to multiple myeloma (MM), but much of the heritability remains unexplained. We report a new GWAS, a meta-analysis with previous ...
Subclonal TP53 copy number is associated with prognosis in multiple myeloma.
(AMER SOC HEMATOLOGY, 2018-12-06)
Multiple myeloma (MM) is a genetically heterogeneous cancer of bone marrow plasma cells with variable outcome. To assess the prognostic relevance of clonal heterogeneity of TP53 copy number, we profiled tumors from 1777 ...
Phenome-wide Mendelian randomisation analysis of 378,142 cases reveals risk factors for eight common cancers.
(NATURE PORTFOLIO, 2024-03-25)
For many cancers there are only a few well-established risk factors. Here, we use summary data from genome-wide association studies (GWAS) in a Mendelian randomisation (MR) phenome-wide association study (PheWAS) to identify ...