The State Key Laboratory of Genetic Engineering, Institute of Genetics, School of Life Sciences, Fudan University, Shanghai, China.
PLoS One. 2010 Dec 30;5(12):e15778. doi: 10.1371/journal.pone.0015778.
Although several studies have investigated whether CCL3L1 copy number variation (CNV) influences the risk of HIV-1 infection, there are still no clear conclusions. Therefore, we performed a meta-analysis using two models to generate a more robust estimate of the association between CCL3L1 CNV and susceptibility to HIV-1 infection.
We divided the cases and controls into two parts as individuals with CCL3L1 gene copy number (GCN) above the population specific median copy number (PMN) and individuals with CCL3L1 GCN below PMN, respectively. Odds ratios (ORs) with 95% confidence intervals (95% CIs) were given for the main analysis. We also conducted stratified analyses by ethnicity, age group and sample size. Relevant literatures were searched through PubMed and ISI Web of Knowledge up to March 2010.
In total, 9 studies with 2434 cases and 4029 controls were included. ORs for the main analysis were 1.35 (95% CI, 1.02-1.78, model: GCN ≤ PMN Vs. GCN > PMN) and 1.70 (95% CI, 1.30-2.23, model: GCN < PMN Vs. GCN ≥ PMN), respectively. Either in stratified analysis, statistically significant results can be detected in some subgroups.
Our analyses indicate that CCL3L1 CNV is associated with susceptibility to HIV-1 infection. A lower copy number is associated with an increased risk of HIV-1 infection, while a higher copy number is associated with reduced risk for acquiring HIV-1.
虽然有几项研究调查了 CCL3L1 拷贝数变异(CNV)是否会影响 HIV-1 感染的风险,但仍没有明确的结论。因此,我们使用两种模型进行了荟萃分析,以生成 CCL3L1 CNV 与 HIV-1 感染易感性之间关联的更稳健估计。
我们将病例和对照分为两部分,分别为 CCL3L1 基因拷贝数(GCN)高于人群特异中位拷贝数(PMN)的个体和 CCL3L1 GCN 低于 PMN 的个体。主要分析给出了优势比(OR)及其 95%置信区间(95%CI)。我们还按种族、年龄组和样本量进行了分层分析。通过 PubMed 和 ISI Web of Knowledge 检索了截至 2010 年 3 月的相关文献。
共纳入 9 项研究,共 2434 例病例和 4029 例对照。主要分析的 OR 分别为 1.35(95%CI,1.02-1.78,模型:GCN≤PMN vs. GCN>PMN)和 1.70(95%CI,1.30-2.23,模型:GCN<PMN vs. GCN≥PMN)。在分层分析中,在一些亚组中可以检测到统计学上显著的结果。
我们的分析表明,CCL3L1 CNV 与 HIV-1 感染易感性相关。较低的拷贝数与 HIV-1 感染的风险增加相关,而较高的拷贝数与获得 HIV-1 的风险降低相关。