Related references
Note: Only part of the references are listed.gwasurvivr: an R package for genome-wide survival analysis
Abbas A. Rizvi et al.
BIOINFORMATICS (2019)
Genetic polymorphisms in genes of class switch recombination and multiple myeloma risk and survival: an IMMEnSE study
Daniele Campa et al.
LEUKEMIA & LYMPHOMA (2019)
Inherited variation in the xenobiotic transporter pathway and survival of multiple myeloma patients
Angelica Macauda et al.
BRITISH JOURNAL OF HAEMATOLOGY (2018)
Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries
Freddie Bray et al.
CA-A CANCER JOURNAL FOR CLINICIANS (2018)
Pharmacogenetic study of the impact of ABCB1 single-nucleotide polymorphisms on lenalidomide treatment outcomes in patients with multiple myeloma: results from a phase IV observational study and subsequent phase II clinical trial
Ingrid Jakobsen Falk et al.
CANCER CHEMOTHERAPY AND PHARMACOLOGY (2018)
A genome-wide study of Hardy-Weinberg equilibrium with next generation sequence data
Jan Graffelman et al.
HUMAN GENETICS (2017)
A common genetic variant in 19q13.3 is associated with outcome of multiple myeloma patients treated with Total Therapy 2 and 3
Stephen W. Erickson et al.
BRITISH JOURNAL OF HAEMATOLOGY (2016)
HaploReg v4: systematic mining of putative causal variants, cell types, regulators and target genes for human complex traits and disease
Lucas D. Ward et al.
NUCLEIC ACIDS RESEARCH (2016)
The genetic and genomic background of multiple myeloma patients achieving complete response after induction therapy with bortezomib, thalidomide and dexamethasone (VTD)
Carolina Terragna et al.
ONCOTARGET (2016)
Gene expression risk signatures maintain prognostic power in multiple myeloma despite microarray probe set translation
N. E. U. Hermansen et al.
INTERNATIONAL JOURNAL OF LABORATORY HEMATOLOGY (2016)
Multiple Myeloma: Diagnosis and Treatment
S. Vincent Rajkumar et al.
MAYO CLINIC PROCEEDINGS (2016)
Reference-based phasing using the Haplotype Reference Consortium panel
Po-Ru Loh et al.
NATURE GENETICS (2016)
Genome-wide association study identifies variation at 6q25.1 associated with survival in multiple myeloma
David C. Johnson et al.
NATURE COMMUNICATIONS (2016)
A common variant within the HNF1B gene is associated with overall survival of multiple myeloma patients: Results from the IMMEnSE consortium and meta-analysis
Rafael Rios-Tamayo et al.
ONCOTARGET (2016)
Insight into Genotype-Phenotype Associations through eQTL Mapping in Multiple Cell Types in Health and Immune-Mediated Disease
James E. Peters et al.
PLOS GENETICS (2016)
Extramedullary relapse of multiple myeloma defined as the highest risk group based on deregulated gene expression data
Sabina Sevcikova et al.
BIOMEDICAL PAPERS-OLOMOUC (2015)
Profound impact of sample processing delay on gene expression of multiple myeloma plasma cells
Tobias Meissner et al.
BMC MEDICAL GENOMICS (2015)
The flow cytometry-defined light chain cytoplasmic immunoglobulin index and an associated 12-gene expression signature are independent prognostic factors in multiple myeloma
X. Papanikolaou et al.
LEUKEMIA (2015)
Genome-wide association study identifies variants at 16p13 associated with survival in multiple myeloma patients
Elad Ziv et al.
NATURE COMMUNICATIONS (2015)
CTCF as a multifunctional protein in genome regulation and gene expression
Somi Kim et al.
EXPERIMENTAL AND MOLECULAR MEDICINE (2015)
From genome to function by studying eQTLs
Harm-Jan Westra et al.
BIOCHIMICA ET BIOPHYSICA ACTA-MOLECULAR BASIS OF DISEASE (2014)
Five gene probes carry most of the discriminatory power of the 70-gene risk model in multiple myeloma
C. J. Heuck et al.
LEUKEMIA (2014)
Gene expression-based prediction of myeloma cell sensitivity to histone deacetylase inhibitors
J. Moreaux et al.
BRITISH JOURNAL OF CANCER (2013)
Evaluating gene expression profiling by quantitative polymerase chain reaction to develop a clinically feasible test for outcome prediction in multiple myeloma
Maria E. Sarasquete et al.
BRITISH JOURNAL OF HAEMATOLOGY (2013)
Integrative eQTL-Based Analyses Reveal the Biology of Breast Cancer Risk Loci
Qiyuan Li et al.
CELL (2013)
Current perspectives on the intensity of natural selection of MHC loci
Yoshiki Yasukochi et al.
IMMUNOGENETICS (2013)
The Genotype-Tissue Expression (GTEx) project
John Lonsdale et al.
NATURE GENETICS (2013)
Genetic variations in multiple myeloma II: association with effect of treatment
Annette Vangsted et al.
EUROPEAN JOURNAL OF HAEMATOLOGY (2012)
Annotation of functional variation in personal genomes using RegulomeDB
Alan P. Boyle et al.
GENOME RESEARCH (2012)
A gene expression signature for high-risk multiple myeloma
R. Kuiper et al.
LEUKEMIA (2012)
Genetics of gene expression in primary immune cells identifies cell type-specific master regulators and roles of HLA alleles
Benjamin P. Fairfax et al.
NATURE GENETICS (2012)
TGF-beta-related mechanisms of bone destruction in multiple myeloma
Toshio Matsumoto et al.
BONE (2011)
The use of molecular-based risk stratification and pharmacogenomics for outcome prediction and personalized therapeutic management of multiple myeloma
Sarah K. Johnson et al.
INTERNATIONAL JOURNAL OF HEMATOLOGY (2011)
Trait-Associated SNPs Are More Likely to Be eQTLs: Annotation to Enhance Discovery from GWAS
Dan L. Nicolae et al.
PLOS GENETICS (2010)
Prediction of survival in multiple myeloma based on gene expression profiles reveals cell cycle and chromosomal instability signatures in high-risk patients and hyperdiploid signatures in low-risk patients:: A study of the intergroupe francophone du myelome
Olivier Decaux et al.
JOURNAL OF CLINICAL ONCOLOGY (2008)
A genome-wide association study of global gene expression
Anna L. Dixon et al.
NATURE GENETICS (2007)
A validated gene expression model of high-risk multiple myeloma is defined by deregulated expression of genes mapping to chromosome 1
John D. Shaughnessy et al.
BLOOD (2007)
Share Paper
