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• W2288039075 startingPage "e0147323" @default.
• W2288039075 abstract "New onset diabetes after transplantation (NODAT) is a serious complication following solid organ transplantation. There is a genetic contribution to NODAT and we have conducted comprehensive meta-analysis of available genetic data in kidney transplant populations.Relevant articles investigating the association between genetic markers and NODAT were identified by searching PubMed, Web of Science and Google Scholar. SNPs described in a minimum of three studies were included for analysis using a random effects model. The association between identified variants and NODAT was calculated at the per-study level to generate overall significance values and effect sizes.Searching the literature returned 4,147 citations. Within the 36 eligible articles identified, 18 genetic variants from 12 genes were considered for analysis. Of these, three were significantly associated with NODAT by meta-analysis at the 5% level of significance; CDKAL1 rs10946398 p = 0.006 OR = 1.43, 95% CI = 1.11-1.85 (n = 696 individuals), KCNQ1 rs2237892 p = 0.007 OR = 1.43, 95% CI = 1.10-1.86 (n = 1,270 individuals), and TCF7L2 rs7903146 p = 0.01 OR = 1.41, 95% CI = 1.07-1.85 (n = 2,967 individuals).Evaluating cumulative evidence for SNPs associated with NODAT in kidney transplant recipients has revealed three SNPs associated with NODAT. An adequately powered, dense genome-wide association study will provide more information using a carefully defined NODAT phenotype." @default.
• W2288039075 created "2016-06-24" @default.
• W2288039075 creator A5037199781 @default.
• W2288039075 creator A5048537085 @default.
• W2288039075 creator A5067092840 @default.
• W2288039075 date "2016-01-20" @default.
• W2288039075 modified "2023-09-23" @default.
• W2288039075 title "A HuGE Review and Meta-Analyses of Genetic Associations in New Onset Diabetes after Kidney Transplantation" @default.
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• W2288039075 doi "https://doi.org/10.1371/journal.pone.0147323" @default.
• W2288039075 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4720424" @default.
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• W2288039075 hasPublicationYear "2016" @default.
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