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dc.contributor.author Martino A
dc.contributor.author Campa D
dc.contributor.author Jurczyszyn A
dc.contributor.author Martinez-Lopez J
dc.contributor.author Moreno MJ
dc.contributor.author Várkonyi, Judit
dc.contributor.author Dumontet C
dc.contributor.author Garcia-Sanz R
dc.contributor.author Gemignani F
dc.contributor.author Jamroziak K
dc.contributor.author Stepiel A
dc.contributor.author Jacobsen SE
dc.contributor.author Andersen V
dc.contributor.author Jurado M
dc.contributor.author Landi S
dc.contributor.author Rossi AM
dc.contributor.author Lesueur F
dc.contributor.author Marques H
dc.contributor.author Dudzilski M
dc.contributor.author Watek M
dc.contributor.author Moreno V
dc.contributor.author Orciuolo E
dc.contributor.author Petrini M
dc.contributor.author Reis RM
dc.contributor.author Rios R
dc.contributor.author Sainz J
dc.contributor.author Vogel U
dc.contributor.author Buda G
dc.contributor.author Vangsted AJ
dc.contributor.author Canzian F
dc.date.accessioned 2015-03-10T12:27:25Z
dc.date.available 2015-03-10T12:27:25Z
dc.date.issued 2014
dc.identifier.citation pagination=670-674; journalVolume=23; journalIssueNumber=4; journalTitle=CANCER EPIDEMIOLOGY, BIOMARKERS & PREVENTION;
dc.identifier.uri http://repo.lib.semmelweis.hu//handle/123456789/1510
dc.identifier.uri doi:10.1158/1055-9965.EPI-13-1115
dc.description.abstract BACKGROUND: Genetic background plays a role in multiple myeloma susceptibility. Several single-nucleotide polymorphisms (SNP) associated with genetic susceptibility to multiple myeloma were identified in the last years, but only a few of them were validated in independent studies. METHODS: With the aim to conclusively validate the strongest associations so far reported, we selected the polymorphisms rs2227667 (SERPINE1), rs17501108 (HGF), rs3136685 (CCR7), rs16944 (IL1B), rs12147254 (TRAF3), rs1805087 (MTR), rs1800629 (TNF-alpha), rs7516435 (CASP9), rs1042265 (BAX), rs2234922 (mEH), and rs1801133 (MTHFR). We genotyped them in 1,498 multiple myeloma cases and 1,934 controls ascertained in the context of the International Multiple Myeloma rESEarch (IMMEnSE) consortium, and meta-analyzed our results with previously published ones. RESULTS: None of the selected SNPs were significantly associated with multiple myeloma risk (P value range, 0.055-0.981), possibly with the exception of the SNP rs2227667 (SERPINE1) in women. CONCLUSIONS: We can exclude that the selected polymorphisms are major multiple myeloma risk factors. IMPACT: Independent validation studies are crucial to identify true genetic risk factors. Our large-scale study clarifies the role of previously published polymorphisms in multiple myeloma risk. Cancer Epidemiol Biomarkers Prev; 23(4); 670-4. (c)2014 AACR.
dc.relation.ispartof urn:issn:1055-9965
dc.title Genetic Variants and Multiple Myeloma Risk: IMMEnSE Validation of the Best Reported Associations--An Extensive Replication of the Associations from the Candidate Gene Era.
dc.type Journal Article
dc.date.updated 2015-03-04T13:18:55Z
dc.language.rfc3066 en
dc.identifier.mtmt 2581899
dc.identifier.pubmed 24521996
dc.contributor.department SE/AOK/K/III. Sz. Belgyógyászati Klinika
dc.contributor.institution Semmelweis Egyetem


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