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Association between cytokine gene polymorphisms and outcomes in renal transplantation: A meta-analysis of individual patient data

dc.contributor.authorAmmarin Thakkinstianen_US
dc.contributor.authorSvetlana Dmitrienkoen_US
dc.contributor.authorMaria Gerbase-DeLimaen_US
dc.contributor.authorD. Olga McDanielen_US
dc.contributor.authorPablo Inigoen_US
dc.contributor.authorKai Ming Chowen_US
dc.contributor.authorMark McEvoyen_US
dc.contributor.authorAtiporn Ingsathiten_US
dc.contributor.authorPaul Trevillianen_US
dc.contributor.authorWilliam Henry Barberen_US
dc.contributor.authorJohn Attiaen_US
dc.contributor.otherMahidol Universityen_US
dc.contributor.otherUniversity of Newcastle, Australiaen_US
dc.contributor.otherThe University of British Columbiaen_US
dc.contributor.otherUniversidade Federal de Sao Pauloen_US
dc.contributor.otherUniversity of Mississippien_US
dc.contributor.otherHospital Clinic Barcelonaen_US
dc.contributor.otherPrince of Wales Hospital Hong Kongen_US
dc.contributor.otherJohn Hunter Hospitalen_US
dc.contributor.otherClinical Epidemiology Uniten_US
dc.date.accessioned2018-07-12T02:39:38Z
dc.date.available2018-07-12T02:39:38Z
dc.date.issued2008-09-01en_US
dc.description.abstractBackground. Cytokine gene polymorphisms have been associated with poor outcomes after renal transplantation such as chronic allograft nephropathy (CAN), graft rejection (GR) and graft failure (GF), but the effects of these polymorphisms are still controversial. We therefore conducted a systematic review, with individual patient data (IPD) where possible, to determine the association between cytokine polymorphisms (TGF-β1, TNF-α and IL-10) and outcomes after renal transplantation. Methods. Five investigators were willing to participate and provided IPD. The outcomes of interest were GF, GR and CAN. Subjects with at least one of these were classified as having poor outcomes. Heterogeneity of gene effects was assessed. Multiple logistic regression was applied to assess gene effects, adjusting for clinical variables such as HLA matching and age. Results. One-thousand and eighty-seven subjects were included in the IPD meta-analysis. Pooled results showed no evidence of heterogeneity and indicated that the strongest variables determining poor outcomes are HLA mismatching (OR = 1.6-1.8 for ≥3 HLA-A, -B, -DR mismatches compared with those with <3 mismatches) and age (OR = 1.2-1.4 for age 45 years or more). Incremental information on risk of a poor outcome is provided by the TGF-β1c10 polymorphism (OR = 1.5, P = 0.034, 95% CI: 1.0-2.2 for TC genotype compared to TT genotype). Haplotypes of TGF-β1 at c10 and c25 were inferred and the C-C haplotype was a marker of a poor outcome (OR = 1.3, P = 0.177, 95% CI: 1.0-2.3). Three polymorphisms of the IL-10 gene at -1082, -819, -592 are in strong linkage disequilibrium with each other (correlation coefficients: 0.6-1) and inferred haplotypes between these three loci show some association, with ACC increasing the risk of poor events com- pared to GCC (OR = 1.3, P = 0.044, 95% CI: 0.9-1.6). Conclusion. Pooled results to date suggest possible association between both the TGF-β1 c10 polymorphism and a 3-SNP-haplotype of IL-10 and poor outcomes in renal transplantation, but this needs to be confirmed in larger studies. © The Author [2008]. Published by Oxford University Press on behalf of ERA-EDTA. All rights reserved.en_US
dc.identifier.citationNephrology Dialysis Transplantation. Vol.23, No.9 (2008), 3017-3023en_US
dc.identifier.doi10.1093/ndt/gfn185en_US
dc.identifier.issn14602385en_US
dc.identifier.issn09310509en_US
dc.identifier.other2-s2.0-50549088987en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/19571
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=50549088987&origin=inwarden_US
dc.subjectMedicineen_US
dc.titleAssociation between cytokine gene polymorphisms and outcomes in renal transplantation: A meta-analysis of individual patient dataen_US
dc.typeArticleen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=50549088987&origin=inwarden_US

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