Towards Quantifying Genetic Interactions Among Tumor Suppressor Genes in Breast Cancer

Wenhao Jiang, Qixuan Zhong
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Abstract

The effect of a gene's activity can be affected by the existence of another gene, termed as genetic interaction, or intragenic epistasis. Understanding genetic interactions among tumor suppressor genes will undoubtedly facilitate our understanding of the tumorigenesis and metastasis. With the wide-application of the next-generation sequencing of patient tumor samples, we have gained unprecedented resolution on the occurrence of mutations in each patient. Many previous studies have used odds ratio and Fisher's exact test to quantify such genetic interactions among tumor suppressor genes. Here, using the TCGA breast cancer dataset as an example, we have showed a potential problem for previous approaches and propose an approach that corrects for these bias. This study serves as a reminder that the interpretation of such large scale studies of mutational frequency data should proceed with reasonable caution.
乳腺癌肿瘤抑制基因间基因相互作用的定量研究
基因活性的影响可能受到另一个基因存在的影响,称为基因相互作用或基因内上位。了解肿瘤抑制基因之间的遗传相互作用无疑将有助于我们对肿瘤发生和转移的理解。随着新一代患者肿瘤样本测序的广泛应用,我们对每个患者的突变发生获得了前所未有的分辨率。许多先前的研究使用比值比和Fisher精确检验来量化肿瘤抑制基因之间的遗传相互作用。在这里,以TCGA乳腺癌数据集为例,我们展示了先前方法的潜在问题,并提出了一种纠正这些偏差的方法。这项研究提醒我们,对如此大规模的突变频率数据研究的解释应该谨慎进行。
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