Department of Community and Family Medicine, Duke University Medical Center, Durham, North Carolina, United States of America.
PLoS One. 2010 Apr 8;5(4):e10061. doi: 10.1371/journal.pone.0010061.
We analyzed the association between 53 genes related to DNA repair and p53-mediated damage response and serous ovarian cancer risk using case-control data from the North Carolina Ovarian Cancer Study (NCOCS), a population-based, case-control study.
METHODS/PRINCIPAL FINDINGS: The analysis was restricted to 364 invasive serous ovarian cancer cases and 761 controls of white, non-Hispanic race. Statistical analysis was two staged: a screen using marginal Bayes factors (BFs) for 484 SNPs and a modeling stage in which we calculated multivariate adjusted posterior probabilities of association for 77 SNPs that passed the screen. These probabilities were conditional on subject age at diagnosis/interview, batch, a DNA quality metric and genotypes of other SNPs and allowed for uncertainty in the genetic parameterizations of the SNPs and number of associated SNPs. Six SNPs had Bayes factors greater than 10 in favor of an association with invasive serous ovarian cancer. These included rs5762746 (median OR(odds ratio)(per allele) = 0.66; 95% credible interval (CI) = 0.44-1.00) and rs6005835 (median OR(per allele) = 0.69; 95% CI = 0.53-0.91) in CHEK2, rs2078486 (median OR(per allele) = 1.65; 95% CI = 1.21-2.25) and rs12951053 (median OR(per allele) = 1.65; 95% CI = 1.20-2.26) in TP53, rs411697 (median OR (rare homozygote) = 0.53; 95% CI = 0.35 - 0.79) in BACH1 and rs10131 (median OR( rare homozygote) = not estimable) in LIG4. The six most highly associated SNPs are either predicted to be functionally significant or are in LD with such a variant. The variants in TP53 were confirmed to be associated in a large follow-up study.
CONCLUSIONS/SIGNIFICANCE: Based on our findings, further follow-up of the DNA repair and response pathways in a larger dataset is warranted to confirm these results.
我们使用北卡罗来纳州卵巢癌研究(NCOCS)的病例对照数据,对与 DNA 修复和 p53 介导的损伤反应相关的 53 个基因与浆液性卵巢癌风险之间的关联进行了分析,该研究是一项基于人群的病例对照研究。
方法/主要发现:分析仅限于 364 例侵袭性浆液性卵巢癌病例和 761 例白人、非西班牙裔种族对照。统计分析分为两个阶段:使用边缘贝叶斯因子(BFs)对 484 个 SNP 进行筛选,以及对通过筛选的 77 个 SNP 进行多变量调整后关联的后验概率建模。这些概率取决于病例诊断/访谈时的年龄、批次、DNA 质量指标和其他 SNP 的基因型,并允许对 SNP 的遗传参数化和相关 SNP 的数量存在不确定性。有 6 个 SNP 的贝叶斯因子大于 10,有利于与侵袭性浆液性卵巢癌相关。其中包括 CHEK2 中的 rs5762746(每个等位基因的中位数 OR(比值比)= 0.66;95%置信区间(CI)= 0.44-1.00)和 rs6005835(每个等位基因的中位数 OR= 0.69;95%CI= 0.53-0.91),TP53 中的 rs2078486(每个等位基因的中位数 OR= 1.65;95%CI= 1.21-2.25)和 rs12951053(每个等位基因的中位数 OR= 1.65;95%CI= 1.20-2.26),BACH1 中的 rs411697(罕见纯合子的中位数 OR= 0.53;95%CI= 0.35-0.79)和 LIG4 中的 rs10131(罕见纯合子的中位数 OR= 无法估计)。与六个最相关的 SNP 要么被预测为具有功能意义,要么与这样的变异处于 LD 状态。TP53 中的变体在一项大型随访研究中被证实与该结果相关。
结论/意义:基于我们的发现,需要在更大的数据集进一步跟踪 DNA 修复和反应途径,以确认这些结果。