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dc.contributor.authorClavero, Esther
dc.contributor.authorSánchez Maldonado, José Manuel
dc.contributor.authorJurado Chacón, Manuel 
dc.contributor.authorSáinz Pérez, Juan 
dc.date.accessioned2023-09-25T09:21:51Z
dc.date.available2023-09-25T09:21:51Z
dc.date.issued2023-05-09
dc.identifier.citationClavero, E.; Sanchez-Maldonado, J.M.; Macauda, A.; Ter Horst, R.; Sampaio-Marques, B.; Jurczyszyn, A.; Clay-Gilmour, A.; Stein, A.; Hildebrandt, M.A.T.;Weinhold, N.; et al. Polymorphisms within Autophagy-Related Genes as Susceptibility Biomarkers for Multiple Myeloma: A Meta-Analysis of Three Large Cohorts and Functional Characterization. Int. J. Mol. Sci. 2023, 24, 8500. [https://doi.org/10.3390/ijms24108500]es_ES
dc.identifier.urihttps://hdl.handle.net/10481/84625
dc.description.sponsorshipEuropean Union’s Horizon 2020 research and innovation program, N 856620es_ES
dc.description.sponsorshipInstituto de Salud Carlos III and FEDER (Madrid, Spaines_ES
dc.description.sponsorshipPI17/02256 and PI20/01845), Consejería de Transformación Económica, Industria, Conocimiento y Universidadeses_ES
dc.description.sponsorshipDietmar Hopp Foundation and the German Ministry of Education and Science (BMBF: CLIOMMICS [01ZX1309]es_ES
dc.description.sponsorshipNational Cancer Institute of the National Institutes of Health under award numbers: R01CA186646, U01CA249955 (EEB)es_ES
dc.description.sponsorshipScience and Technology (FCT)—project UIDB/50026/2020es_ES
dc.description.sponsorshipUIDP/50026/2020 and by the project NORTE-01-0145-FEDER-000055es_ES
dc.description.sponsorshipPORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund (ERDF)es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectMultiple myelomaes_ES
dc.subjectAutophagyes_ES
dc.subjectGenetic variantses_ES
dc.subjectGenetic susceptibilityes_ES
dc.titlePolymorphisms within Autophagy-Related Genes as Susceptibility Biomarkers forMultipleMyeloma: AMeta-Analysis of Three Large Cohorts and Functional Characterizationes_ES
dc.typejournal articlees_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/856620es_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.3390/ijms24108500
dc.type.hasVersionVoRes_ES


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Atribución 4.0 Internacional
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