Fridley Brooke L, Chalise Prabhakar, Tsai Ya-Yu, Sun Zhifu, Vierkant Robert A, Larson Melissa C, Cunningham Julie M, Iversen Edwin S, Fenstermacher David, Barnholtz-Sloan Jill, Asmann Yan, Risch Harvey A, Schildkraut Joellen M, Phelan Catherine M, Sutphen Rebecca, Sellers Thomas A, Goode Ellen L
Department of Health Sciences Research, Mayo Clinic Rochester, MN, USA.
Front Genet. 2012 Aug 8;3:142. doi: 10.3389/fgene.2012.00142. eCollection 2012.
Copy number variants (CNVs) have been implicated in many complex diseases. We examined whether inherited CNVs were associated with overall survival among women with invasive epithelial ovarian cancer. Germline DNA from 1,056 cases (494 deceased, average of 3.7 years follow-up) was interrogated with the Illumina 610 quad genome-wide array containing, after quality control exclusions, 581,903 single nucleotide polymorphisms (SNPs) and 17,917 CNV probes. Comprehensive analysis capitalized upon the strengths of three complementary approaches to CNV classification. First, to identify small CNVs, single markers were evaluated and, where associated with survival, consecutive markers were combined. Two chromosomal regions were associated with survival using this approach (14q31.3 rs2274736 p = 1.59 × 10(-6), p = 0.001; 22q13.31 rs2285164 p = 4.01 × 10(-5), p = 0.009), but were not significant after multiple testing correction. Second, to identify large CNVs, genome-wide segmentation was conducted to characterize chromosomal gains and losses, and association with survival was evaluated by segment. Four regions were associated with survival (1q21.3 loss p = 0.005, 5p14.1 loss p = 0.004, 9p23 loss p = 0.002, and 15q22.31 gain p = 0.002); however, again, after correcting for multiple testing, no regions were statistically significant, and none were in common with the single marker approach. Finally, to evaluate associations with general amounts of copy number changes across the genome, we estimated CNV burden based on genome-wide numbers of gains and losses; no associations with survival were observed (p > 0.40). Although CNVs that were not well-covered by the Illumina 610 quad array merit investigation, these data suggest no association between inherited CNVs and survival after ovarian cancer.
拷贝数变异(CNV)与许多复杂疾病有关。我们研究了遗传性CNV是否与浸润性上皮性卵巢癌女性的总生存期相关。使用Illumina 610四通道全基因组芯片对1056例患者(494例死亡,平均随访3.7年)的生殖系DNA进行检测,经过质量控制排除后,该芯片包含581,903个单核苷酸多态性(SNP)和17,917个CNV探针。综合分析利用了三种互补的CNV分类方法的优势。首先,为了识别小的CNV,对单个标记进行评估,若与生存期相关,则将连续的标记合并。使用这种方法有两个染色体区域与生存期相关(14q31.3 rs2274736 p = 1.59×10(-6),p = 0.001;22q13.31 rs2285164 p = 4.01×10(-5),p = 0.009),但在多重检验校正后无统计学意义。其次,为了识别大的CNV,进行全基因组分割以表征染色体的增减,并通过片段评估与生存期的关联。有四个区域与生存期相关(1q21.3缺失p = 0.005,5p14.1缺失p = 0.004,9p23缺失p = 0.002,15q22.31增加p = 0.002);然而,同样在多重检验校正后,没有区域具有统计学意义,且与单标记方法没有共同的区域。最后,为了评估与全基因组拷贝数变化总量的关联,我们根据全基因组的增减数量估计CNV负担;未观察到与生存期的关联(p>0.40)。尽管Illumina 610四通道芯片未充分覆盖的CNV值得研究,但这些数据表明遗传性CNV与卵巢癌后的生存期之间无关联。