Department of Epidemiology and Health Statistics, School of Public Health, Shandong University, Jinan, Shandong, China; Hangzhou Center for Disease Control and Prevention, Hangzhou, Zhejiang, China.
BJOG. 2014 May;121(6):664-74. doi: 10.1111/1471-0528.12638. Epub 2014 Feb 19.
More than 200 articles have been published in the past 20 years on associations between genetic variants and risk of cervical cancer but the results have generally been inconsistent.
To provide a synopsis of the current understanding of the genetic architecture of the risk of cervical cancer by conducting a systematic review and meta-analysis.
We conducted a systematic literature search by a two-stage strategy using PubMed and other databases on or before 31 March 2012.
Cross-sectional, case-control or cohort studies about the relationship between genetic variants and cervical cancer were included.
Study outcomes were presented as odds ratios (ORs) with a 95% confidence interval.We did the meta-analysis for genetic variants which had at least three data sources and for which the significant associations were assessed using the Venice criteria.
A total of 5605 publications were screened, of which 286 were eligible. Meta-analysis was conducted for 58 variants in 25 genes or loci. Fourteen variants in 11 genes or loci could increase the risk of cervical cancer and five variants in three genes or loci could decrease the risk. The epidemiological evidence of the association was graded as strong for four variants in CTLA4 and HLA DQB1, moderate for five variants in IL-1B, IL-10, XRCC3 and HLA DQA1, and weak for 10 variants.
Many genetic variants were associated with the risk of cervical cancer as supported by the epidemiological evidence in this meta-analysis.
过去 20 年中，已有 200 多篇文章发表，探讨了遗传变异与宫颈癌风险之间的关系，但结果通常不一致。
通过系统评价和荟萃分析，概述宫颈癌风险的遗传结构。
我们采用两步策略，在 2012 年 3 月 31 日之前在 PubMed 和其他数据库中进行了系统文献检索。
纳入了关于遗传变异与宫颈癌之间关系的横断面、病例对照或队列研究。
研究结果表示为比值比（OR）及其 95%置信区间。我们对至少有三个数据源的遗传变异进行了荟萃分析，对于用威尼斯标准评估的有显著关联的遗传变异进行了分析。
共筛选出 5605 篇文献，其中 286 篇符合条件。对 25 个基因或基因座的 58 个变异进行了荟萃分析。在 11 个基因或基因座中有 14 个变异可以增加宫颈癌的风险，在 3 个基因或基因座中有 5 个变异可以降低风险。根据荟萃分析结果，4 个 CTLA4 和 HLA-DQB1 基因中的变异，以及 5 个 IL-1B、IL-10、XRCC3 和 HLA-DQA1 基因中的变异的关联具有强的流行病学证据，而 10 个变异的关联具有中等的流行病学证据。
该荟萃分析的流行病学证据支持许多遗传变异与宫颈癌风险相关。
