Gerhard Glenn S, Bann Darrin V, Broach James, Goldenberg David
Lewis Katz School of Medicine at Temple University, Philadelphia, PA 19140, USA.
Penn State College of Medicine, Hershey, PA 17033, USA.
NPJ Genom Med. 2017;2. doi: 10.1038/s41525-017-0011-x. Epub 2017 Mar 28.
Next-generation sequencing using exome capture is a common approach used for analysis of familial cancer syndromes. Despite the development of robust computational algorithms, the accrued experience of analyzing exome data sets and published guidelines, the analytical process remains an ad hoc series of important decisions and interpretations that require significant oversight. Processes and tools used for sequence data generation have matured and are standardized to a significant degree. For the remainder of the analytical pipeline, however, the results can be highly dependent on the choices made and careful review of results. We used primary exome sequence data, generously provided by the corresponding author, from a family with highly penetrant familial non-medullary thyroid cancer reported to be caused by HABP2 rs7080536 to review the importance of several key steps in the application of exome sequencing for discovery of new familial cancer genes. Differences in allele frequencies across populations, probabilities of familial segregation, functional impact predictions, corroborating biological support, and inconsistent replication studies can play major roles in influencing interpretation of results. In the case of HABP2 rs7080536 and familial non-medullary thyroid cancer, these factors led to the conclusion of an association that most data and our re-analysis fail to support, although larger studies from diverse populations will be needed to definitively determine its role.
使用外显子捕获的新一代测序是用于分析家族性癌症综合征的常用方法。尽管有强大的计算算法、分析外显子数据集的积累经验以及已发表的指南,但分析过程仍然是一系列临时的重要决策和解释,需要大量监督。用于序列数据生成的流程和工具已经成熟,并在很大程度上实现了标准化。然而,对于分析流程的其余部分,结果可能高度依赖于所做的选择以及对结果的仔细审查。我们使用了由通讯作者慷慨提供的原发性外显子序列数据,这些数据来自一个据报道由HABP2 rs7080536导致的高外显率家族性非髓样甲状腺癌家族,以审视外显子测序在发现新的家族性癌症基因应用中几个关键步骤的重要性。不同人群中等位基因频率的差异、家族分离的概率、功能影响预测、确凿的生物学支持以及不一致的重复研究,在影响结果解释方面可能起主要作用。就HABP2 rs7080536与家族性非髓样甲状腺癌而言,这些因素导致得出一种关联的结论,但大多数数据和我们的重新分析都不支持这一结论,不过需要来自不同人群的更大规模研究来最终确定其作用。