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CCL3L1 Copy Number Variation and Susceptibility to HIV-1 Infection: A Meta-Analysis

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  • SiJie Liu
  • Lei Yao
  • DongLin Ding
  • HuanZhang Zhu

Abstract

Background: 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. Methods: 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. Results: 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

Suggested Citation

  • SiJie Liu & Lei Yao & DongLin Ding & HuanZhang Zhu, 2010. "CCL3L1 Copy Number Variation and Susceptibility to HIV-1 Infection: A Meta-Analysis," PLOS ONE, Public Library of Science, vol. 5(12), pages 1-7, December.
    • Handle: RePEc:plo:pone00:0015778
    DOI: 10.1371/journal.pone.0015778
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    References listed on IDEAS

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    1. Aurelio Tobias, 1999. "Assessing the influence of a single study in the meta-anyalysis estimate," Stata Technical Bulletin, StataCorp LP, vol. 8(47).
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