%0 Journal Article
%A Macauda, Angelica
%A Piredda, Chiara
%A Clay-Gilmour, Alyssa I
%A Sainz, Juan
%A Buda, Gabriele
%A Markiewicz, Miroslaw
%A Barington, Torben
%A Ziv, Elad
%A Hildebrandt, Michelle A T
%A Belachew, Alem A
%A Varkonyi, Judit
%A Prejzner, Witold
%A Druzd-Sitek, Agnieszka
%A Spinelli, John
%A Andersen, Niels Frost
%A Hofmann, Jonathan N
%A Dudziński, Marek
%A Martinez-Lopez, Joaquin
%A Iskierka-Jazdzewska, Elzbieta
%A Milne, Roger L
%A Mazur, Grzegorz
%A Giles, Graham G
%A Ebbesen, Lene Hyldahl
%A Rymko, Marcin
%A Jamroziak, Krzysztof
%A Subocz, Edyta
%A Reis, Rui Manuel
%A Garcia-Sanz, Ramon
%A Suska, Anna
%A Haastrup, Eva Kannik
%A Zawirska, Daria
%A Grzasko, Norbert
%A Vangsted, Annette Juul
%A Dumontet, Charles
%A Kruszewski, Marcin
%A Dutka, Magdalena
%A Camp, Nicola J
%A Waller, Rosalie G
%A Tomczak, Waldemar
%A Pelosini, Matteo
%A Raźny, Małgorzata
%A Marques, Herlander
%A Abildgaard, Niels
%A Wątek, Marzena
%A Jurczyszyn, Artur
%A Brown, Elizabeth E
%A Berndt, Sonja
%A Butrym, Aleksandra
%A Vachon, Celine M
%A Norman, Aaron D
%A Slager, Susan L
%A Gemignani, Federica
%A Canzian, Federico
%A Campa, Daniele
%T Expression quantitative trait loci of genes predicting outcome are associated with survival of multiple myeloma patients.
%D 2021
%U http://hdl.handle.net/10668/17318
%X 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 
%K eQTL
%K genetic polymorphisms
%K multiple myeloma
%K overall survival
%K progression-free survival
%~