Login / Signup

Identification of novel genetic loci for risk of multiple myeloma by functional annotation.

Angelica MacaudaKlara BriemAlyssa Clay-GilmourWendy CozenAsta FörstiMatteo GiaccheriniChiara CorradiJuan SainzYasmeen NiaziRob Ter HorstYang LiMihai M NeteaUlla VogelKari HemminkiSusan L SlagerJudit VarkonyiVibeke AndersenElzbieta Iskierka-JazdzewskaJoaquin Martinez LopezJan ZauchaNicola J CampS Vincent RajkumarAgnieszka Druzd-SitekParveen BhattiStephen J ChanockShaji K KumarEdyta SuboczGrzegorz MazurStefano LandiMitchell J MachielaAndrés JerezAaron D NormanMichelle A T HildebrandtKatalin KadarSonja I BerndtElad ZivGabriele BudaArnon NaglerCharles DumontetMalgorzata RaźnyMarzena WątekAleksandra ButrymNorbert GrzaskoMarek DudzinskiMalwina Rybicka-RamosEva-Laure MateraMiriam SanteroHartmut GoldschmidtKrzysztof JamroziakArtur JurczyszynEsther ClaveroGraham G GilesMatteo PelosiniDaria ZawirskaMarcin KruszewskiHerlander MarquesEva HaastrupJosé Manuel Sánchez-MaldonadoUta BertschMarcin RymkoMarc-Steffen RaabElizabeth E BrownJonathan N HofmannCeline M VachonDaniele CampaFrederico Canzian
Published in: Leukemia (2023)
Keyphrases
  • multiple myeloma
  • genome wide
  • dna methylation
  • copy number
  • genome wide association study
  • bioinformatics analysis
  • rna seq
  • genome wide association
  • single cell