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000275431 037__ $$aDKFZ-2023-00754
000275431 041__ $$aEnglish
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000275431 1001_ $$00000-0002-4651-3675$$aSánchez-Maldonado, José Manuel$$b0
000275431 245__ $$aGWAS-Identified Variants for Obesity Do Not Influence the Risk of Developing Multiple Myeloma: A Population-Based Study and Meta-Analysis.
000275431 260__ $$aBasel$$bMolecular Diversity Preservation International$$c2023
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000275431 520__ $$aMultiple myeloma (MM) is an incurable disease characterized by the presence of malignant plasma cells in the bone marrow that secrete specific monoclonal immunoglobulins into the blood. Obesity has been associated with the risk of developing solid and hematological cancers, but its role as a risk factor for MM needs to be further explored. Here, we evaluated whether 32 genome-wide association study (GWAS)-identified variants for obesity were associated with the risk of MM in 4189 German subjects from the German Multiple Myeloma Group (GMMG) cohort (2121 MM cases and 2068 controls) and 1293 Spanish subjects (206 MM cases and 1087 controls). Results were then validated through meta-analysis with data from the UKBiobank (554 MM cases and 402,714 controls) and FinnGen cohorts (914 MM cases and 248,695 controls). Finally, we evaluated the correlation of these single nucleotide polymorphisms (SNPs) with cQTL data, serum inflammatory proteins, steroid hormones, and absolute numbers of blood-derived cell populations (n = 520). The meta-analysis of the four European cohorts showed no effect of obesity-related variants on the risk of developing MM. We only found a very modest association of the POC5rs2112347G and ADCY3rs11676272G alleles with MM risk that did not remain significant after correction for multiple testing (per-allele OR = 1.08, p = 0.0083 and per-allele OR = 1.06, p = 0.046). No correlation between these SNPs and functional data was found, which confirms that obesity-related variants do not influence MM risk.
000275431 536__ $$0G:(DE-HGF)POF4-312$$a312 - Funktionelle und strukturelle Genomforschung (POF4-312)$$cPOF4-312$$fPOF IV$$x0
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000275431 650_7 $$2Other$$agenetic variants
000275431 650_7 $$2Other$$amultiple myeloma
000275431 650_7 $$2Other$$aobesity
000275431 650_7 $$2Other$$asusceptibility
000275431 650_7 $$2NLM Chemicals$$aPOC5 protein, human
000275431 650_7 $$2NLM Chemicals$$aCarrier Proteins
000275431 650_2 $$2MeSH$$aHumans
000275431 650_2 $$2MeSH$$aGenome-Wide Association Study: methods
000275431 650_2 $$2MeSH$$aGenetic Predisposition to Disease
000275431 650_2 $$2MeSH$$aMultiple Myeloma: genetics
000275431 650_2 $$2MeSH$$aRisk Factors
000275431 650_2 $$2MeSH$$aObesity: complications
000275431 650_2 $$2MeSH$$aObesity: genetics
000275431 650_2 $$2MeSH$$aPolymorphism, Single Nucleotide
000275431 650_2 $$2MeSH$$aCarrier Proteins
000275431 7001_ $$00000-0003-0346-7960$$aCabrera-Serrano, Antonio José$$b1
000275431 7001_ $$0P:(DE-He78)9918be87133a5ff93034e03087506c3c$$aChattopadhyay, Subhayan$$b2
000275431 7001_ $$aCampa, Daniele$$b3
000275431 7001_ $$aGarrido, María Del Pilar$$b4
000275431 7001_ $$0P:(DE-He78)b791a47b92809f7c54501331f72e0243$$aMacauda, Angelica$$b5$$udkfz
000275431 7001_ $$aTer Horst, Rob$$b6
000275431 7001_ $$00000-0002-2079-6638$$aJerez, Andrés$$b7
000275431 7001_ $$aNetea, Mihai G$$b8
000275431 7001_ $$00000-0003-4022-7341$$aLi, Yang$$b9
000275431 7001_ $$0P:(DE-He78)19b0ec1cea271419d9fa8680e6ed6865$$aHemminki, Kari$$b10$$udkfz
000275431 7001_ $$0P:(DE-He78)5323704270b6393dcea70186ffd86bca$$aCanzian, Federico$$b11$$udkfz
000275431 7001_ $$0P:(DE-He78)f26164c08f2f14abcf31e52e13ee3696$$aFörsti, Asta$$b12$$udkfz
000275431 7001_ $$00000-0002-9355-2423$$aSainz, Juan$$b13
000275431 773__ $$0PERI:(DE-600)2019364-6$$a10.3390/ijms24076029$$gVol. 24, no. 7, p. 6029 -$$n7$$p6029$$tInternational journal of molecular sciences$$v24$$x1422-0067$$y2023
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