Biological processes, properties and molecular wiring diagrams of candidate low-penetrance breast cancer susceptibility genes.

Biological processes, properties and molecular wiring diagrams of candidate low-penetrance breast cancer susceptibility genes.
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DOI:
10.1186/1755-8794-1-62
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发表时间:
2008-12-18
影响因子:
2.7
通讯作者:
Pujana MA
Pujana MA
中科院分区:
医学3区
文献类型:
--
作者:
Bonifaci N;Berenguer A;Díez J;Reina O;Medina I;Dopazo J;Moreno V;Pujana MA

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人类癌症风险全基因组关联研究(WGAS)的最新进展开始提供低外显率易感基因的部分列表。然而,这些研究中的统计分析因检查的大量遗传变异和观察到的微弱影响而变得复杂,因此必须将限制纳入研究设计和分析方法中。在这种情况下,调整后的统计数据之外的生物学属性通常很少受到关注,更重要的是,低外显率易感基因的基本生物学特征尚未确定。我们采用综合方法通过分析不同来源的生物学证据来识别候选低外显率乳腺癌易感基因、其特征和分子网络。首先,对有序 WGAS 结果中基因本体术语的分布进行检查,发现与风险相关的细胞通讯和细胞死亡过程的不对称分布。其次,对基因组和蛋白质组数据集中 11 种不同类型的分子或功能关系的分析定义了候选基因的“组学”特性: i/ 肿瘤相对于正常组织的差异表达; ii/ 体细胞基因组拷贝数变化与基因表达水平相关; iii/ 诊断时不同年龄的差异表达; BRCA1 扰动后 iv/ 表达发生变化。最后,变异对种系基因表达影响的网络建模显示,新候选基因与已知易感基因之间的连接性比偶然预期的更高,这支持了功能关系并提供了风险的机制假设。这项研究提出,细胞通讯和细胞死亡是低外显率变异所带来的乳腺癌风险扰动的主要生物过程,并定义了候选基因和蛋白质的共同组学特性、分子相互作用和可能的功能效应。
Recent advances in whole-genome association studies (WGASs) for human cancer risk are beginning to provide the part lists of low-penetrance susceptibility genes. However, statistical analysis in these studies is complicated by the vast number of genetic variants examined and the weak effects observed, as a result of which constraints must be incorporated into the study design and analytical approach. In this scenario, biological attributes beyond the adjusted statistics generally receive little attention and, more importantly, the fundamental biological characteristics of low-penetrance susceptibility genes have yet to be determined. We applied an integrative approach for identifying candidate low-penetrance breast cancer susceptibility genes, their characteristics and molecular networks through the analysis of diverse sources of biological evidence. First, examination of the distribution of Gene Ontology terms in ordered WGAS results identified asymmetrical distribution of Cell Communication and Cell Death processes linked to risk. Second, analysis of 11 different types of molecular or functional relationships in genomic and proteomic data sets defined the "omic" properties of candidate genes: i/ differential expression in tumors relative to normal tissue; ii/ somatic genomic copy number changes correlating with gene expression levels; iii/ differentially expressed across age at diagnosis; and iv/ expression changes after BRCA1 perturbation. Finally, network modeling of the effects of variants on germline gene expression showed higher connectivity than expected by chance between novel candidates and with known susceptibility genes, which supports functional relationships and provides mechanistic hypotheses of risk. This study proposes that cell communication and cell death are major biological processes perturbed in risk of breast cancer conferred by low-penetrance variants, and defines the common omic properties, molecular interactions and possible functional effects of candidate genes and proteins.
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发表时间: 2007-10-18
期刊: NATURE
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影响因子: 11.1
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