Chulabhorn International College of Medicine, Thammasat University, Rangsit, Pathumthani, 12121, Thailand.
Environmental Monitoring and Reporting Branch, Ontario Ministry of the Environment, Conservation and Parks, Toronto, Ontario, M5T 3L9, Canada.
F1000Res. 2021 Feb 10;10:90. doi: 10.12688/f1000research.27800.1. eCollection 2021.
Reported associations of allograft rejection in kidney transplant patients with single nucleotide polymorphisms (SNPs) have been inconsistent between studies, which prompted a meta-analysis to obtain more precise estimates. Using the PICO elements, kidney transplant patients (P) were compared by genotype data between rejectors (I) and non-rejectors (C) in order to determine the risk of allograft rejection (O) attributed to the SNPs. Literature search of four databases yielded seven articles. To calculate risks for allograft rejection, four SNPs were examined. Using the allele-genotype model we compared the variant ( ) with the wild-type ( ) and heterozygous ( - ) alleles. Meta-analysis treatments included outlier and subgroup analyses, the latter was based on ethnicity (Indians/Caucasians) and rejection type (acute/chronic). Multiple comparisons were corrected with the Bonferroni test. Five highly significant outcomes (P < 0.01) survived Bonferroni correction, one of which showed reduced risk for the allele (OR 0.61, 95% CI 0.45-0.82). The remaining four indicated increased risk for the allele where the chronic rejection (OR 2.10, 95% CI 1.36-3.24) and Indian (OR 1.44, 95% CI 1.13-1.84) subgroups were accorded susceptibility status. Risk associations for renal allograft rejection were increased and reduced on account of the and alleles, respectively. These findings could render the polymorphisms useful in the clinical genetics of kidney transplantation.
在肾移植患者中,同种异体排斥反应与单核苷酸多态性(SNPs)的相关性在不同的研究中一直不一致,这促使进行了荟萃分析以获得更精确的估计。使用 PICO 要素,通过基因型数据比较排斥者(I)和非排斥者(C)的肾移植患者(P),以确定归因于 SNPs 的同种异体排斥(O)的风险。对四个数据库进行文献检索,共得到 7 篇文章。为了计算同种异体排斥的风险,检查了四个 SNPs。使用等位基因-基因型模型,我们将变体()与野生型()和杂合子(-)等位基因进行了比较。荟萃分析处理包括异常值和亚组分析,后者基于种族(印度人/高加索人)和排斥类型(急性/慢性)。使用 Bonferroni 检验校正多重比较。有 5 个高度显著的结果(P < 0.01)通过了 Bonferroni 校正,其中一个结果显示 等位基因的风险降低(OR 0.61,95%CI 0.45-0.82)。其余四个结果表明 等位基因的风险增加,其中慢性排斥(OR 2.10,95%CI 1.36-3.24)和印度亚组(OR 1.44,95%CI 1.13-1.84)被认为是易感性状态。由于 和 等位基因,肾移植排斥的风险关联分别增加和减少。这些发现可能使 多态性在肾移植的临床遗传学中有用。