Publication: Expression quantitative trait loci of genes predicting outcome are associated with survival of multiple myeloma patients.
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Date
2021-03-30
Authors
Macauda, Angelica
Piredda, Chiara
Clay-Gilmour, Alyssa I
Sainz, Juan
Buda, Gabriele
Markiewicz, Miroslaw
Barington, Torben
Ziv, Elad
Hildebrandt, Michelle A T
Belachew, Alem A
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Abstract
Gene expression profiling can be used for predicting survival in multiple myeloma (MM) and identifying patients who will benefit from particular types of therapy. Some germline single nucleotide polymorphisms (SNPs) act as expression quantitative trait loci (eQTLs) showing strong associations with gene expression levels. We performed an association study to test whether eQTLs of genes reported to be associated with prognosis of MM patients are directly associated with measures of adverse outcome. Using the genotype-tissue expression portal, we identified a total of 16 candidate genes with at least one eQTL SNP associated with their expression with P
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MeSH Terms
Aged
Apyrase
Female
Gene Expression Profiling
Genetic Association Studies
Germ-Line Mutation
Humans
Male
Middle Aged
Mitochondrial Proteins
Multiple Myeloma
Polymorphism, Single Nucleotide
Quantitative Trait Loci
RNA-Binding Proteins
Survival Analysis
Apyrase
Female
Gene Expression Profiling
Genetic Association Studies
Germ-Line Mutation
Humans
Male
Middle Aged
Mitochondrial Proteins
Multiple Myeloma
Polymorphism, Single Nucleotide
Quantitative Trait Loci
RNA-Binding Proteins
Survival Analysis
DeCS Terms
CIE Terms
Keywords
eQTL, genetic polymorphisms, multiple myeloma, overall survival, progression-free survival