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A Cross-Cancer Genetic Association Analysis of the DNA repair and DNA Damage Signaling Pathways for Lung, Ovary, Prostate, Breast and Colorectal Cancer

机译:肺癌,卵巢癌,前列腺癌,乳腺癌和结直肠癌的DNa修复和DNa损伤信号通路的跨癌症遗传关联分析

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摘要

BACKGROUND: Though DNA damage is an established mediator of carcinogenesis, GWAS have identified few significant loci, associated with cancer predisposition, within DNA repair gene regions. This cross-cancer site, pooled analysis was performed to increase the power to detect common variants of DNA repair genes associated with cancer susceptibility. METHODS: We conducted a cross-cancer analysis of 60,297 SNPs, at 229 DNA repair gene regions, using data from the NCI Genetic Associations and Mechanisms in Oncology (GAME-ON) Network. Our analysis included data from 32 GWAS and 48,734 controls and 51,537 cases across five cancer sites (breast, colon, lung, ovary, and prostate). Meta-analysis was performed using the Association analysis for SubSETs (ASSET) software package. To test for genetic associations that might escape individual variant testing due to small effect sizes, pathway analysis of eight DNA repair pathways was performed using hierarchical modeling. RESULTS: We identified three susceptibility DNA repair genes, RAD51B (p <5.09 x 10-6), MSH5 (p <5.09 x 10-6) and BRCA2 (p = 5.70 x 10-6). Hierarchical modeling identified several pleiotropic associations with cancer risk in the base excision repair, nucleotide excision repair, mismatch repair, and homologous recombination pathways. CONCLUSIONS: Only three individual susceptibility loci were identified, which had all been previously reported. In contrast, hierarchical modeling identified several pleiotropic cancer risk associations in key DNA repair pathways. IMPACT: These data suggest that many common variants in DNA repair genes are likely associated with cancer susceptibility through small effect sizes that do not meet stringent significance testing criteria.
机译:背景:尽管DNA损伤是癌变的公认介质,但GWAS在DNA修复基因区域内发现了很少的与癌症易感性相关的重要基因座。进行这种跨癌部位的汇总分析,以提高检测与癌症易感性相关的DNA修复基因的常见变异的能力。方法:我们使用来自NCI遗传学协会和肿瘤机制(GAME-ON)网络的数据,对229个DNA修复基因区域的60,297个SNP进行了跨癌分析。我们的分析包括来自五个癌症部位(乳腺癌,结肠癌,肺癌,卵巢癌和前列腺癌)的32例GWAS和48,734例对照以及51,537例病例的数据。使用SubSET的关联分析(ASSET)软件包执行Meta分析。为了测试可能因效应量小而可能避免个别变异测试的遗传关联,使用分层建模对八个DNA修复途径进行了途径分析。结果:我们鉴定了三个易感性DNA修复基因,RAD51B(p <5.09 x 10-6),MSH5(p <5.09 x 10-6)和BRCA2(p = 5.70 x 10-6)。分层建模在碱基切除修复,核苷酸切除修复,错配修复和同源重组途径中确定了多种与癌症风险相关的多效性关联。结论:仅鉴定了三个个体易感基因座,所有这些先前已被报道。相反,分层建模在关键的DNA修复途径中确定了几种多效性癌症风险关联。影响:这些数据表明,DNA修复基因中的许多常见变异可能通过不符合严格的显着性检验标准的较小效应大小而与癌症易感性相关。

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