Suppr超能文献

前列腺癌全基因组关联和复制研究的荟萃分析。

Meta-analysis of genome-wide and replication association studies on prostate cancer.

机构信息

State Key Laboratory of Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.

出版信息

Prostate. 2011 Feb 1;71(2):209-24. doi: 10.1002/pros.21235.

Abstract

BACKGROUND

Genome-wide and replication association studies (GWAs) have identified multiple loci at which common variants modestly influence the risk of developing prostate cancer (PCa). To enhance the power to identify loci associated with PCa, we constructed a meta-analysis of GWAs on PCa.

METHODS

Articles evaluating the effects of genome-wide SNPs on PCa were identified by searching the PubMed database. After extraction of relevant data, main and subgroup meta-analyses were performed to assess the effects of relevant SNPs on PCa.

RESULTS

21 eligible articles containing 71 subgroups were included in this meta-analysis. Significant associations were found between 31 SNPs and PCa. They were rs445114, rs620861, rs983085, rs1016343, rs1447295, rs1859962, rs2660753, rs2710646, rs2735839, rs3760511, rs4242382, rs4430796, rs4962416, rs5945572, rs5945619, rs6470494, rs6501455, rs6983267, rs6983561, rs7000448, rs7214479, rs7501939, rs7920517, rs7931342, rs9364554, rs9623117, rs10090154, rs10486567, rs10896449, rs10993994, and rs16901979. The weighted odds ratios for above SNPs ranged between 0.64 and 1.88 (all P < 0.05). Subgroup analysis further indicated that the significant associations of some SNPs existed only in specific ancestry population (P < 10⁻⁵).

CONCLUSIONS

The current meta-analysis demonstrated the moderate effects of above 31 SNPs on PCa and 14 independent PCa risk loci were identified.

摘要

背景

全基因组和复制关联研究(GWAS)已经确定了多个常见变异体,这些变异体可以适度影响前列腺癌(PCa)的发病风险。为了提高识别与 PCa 相关的基因座的能力,我们构建了一个针对 PCa 的 GWAS 荟萃分析。

方法

通过搜索 PubMed 数据库,确定评估全基因组 SNPs 对 PCa 影响的文章。在提取相关数据后,进行主分析和亚组分析,以评估相关 SNPs 对 PCa 的影响。

结果

本荟萃分析共纳入 21 篇符合条件的文章,包含 71 个亚组。31 个 SNP 与 PCa 显著相关。这些 SNP 包括 rs445114、rs620861、rs983085、rs1016343、rs1447295、rs1859962、rs2660753、rs2710646、rs2735839、rs3760511、rs4242382、rs4430796、rs4962416、rs5945572、rs5945619、rs6470494、rs6501455、rs6983267、rs6983561、rs7000448、rs7214479、rs7501939、rs7920517、rs7931342、rs9364554、rs9623117、rs10090154、rs10486567、rs10896449、rs10993994 和 rs16901979。上述 SNP 的加权优势比(OR)范围在 0.64 到 1.88(均 P<0.05)之间。亚组分析进一步表明,一些 SNP 的显著相关性仅存在于特定的祖先人群中(P<10⁻⁵)。

结论

本荟萃分析表明,上述 31 个 SNP 对 PCa 有中度影响,并确定了 14 个独立的 PCa 风险基因座。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验