Tavtigian S V, Deffenbaugh A M, Yin L, Judkins T, Scholl T, Samollow P B, de Silva D, Zharkikh A, Thomas A
International Agency for Research on Cancer, 150 Cours Albert Thomas, 69372 Lyon, France.
J Med Genet. 2006 Apr;43(4):295-305. doi: 10.1136/jmg.2005.033878. Epub 2005 Jul 13.
Genetic testing for hereditary cancer syndromes contributes to the medical management of patients who may be at increased risk of one or more cancers. BRCA1 and BRCA2 testing for hereditary breast and ovarian cancer is one such widely used test. However, clinical testing methods with high sensitivity for deleterious mutations in these genes also detect many unclassified variants, primarily missense substitutions.
We developed an extension of the Grantham difference, called A-GVGD, to score missense substitutions against the range of variation present at their position in a multiple sequence alignment. Combining two methods, co-occurrence of unclassified variants with clearly deleterious mutations and A-GVGD, we analysed most of the missense substitutions observed in BRCA1.
A-GVGD was able to resolve known neutral and deleterious missense substitutions into distinct sets. Additionally, eight previously unclassified BRCA1 missense substitutions observed in trans with one or more deleterious mutations, and within the cross-species range of variation observed at their position in the protein, are now classified as neutral.
The methods combined here can classify as neutral about 50% of missense substitutions that have been observed with two or more clearly deleterious mutations. Furthermore, odds ratios estimated for sets of substitutions grouped by A-GVGD scores are consistent with the hypothesis that most unclassified substitutions that are within the cross-species range of variation at their position in BRCA1 are also neutral. For most of these, clinical reclassification will require integrated application of other methods such as pooled family histories, segregation analysis, or validated functional assay.
遗传性癌症综合征的基因检测有助于对可能患一种或多种癌症风险增加的患者进行医疗管理。遗传性乳腺癌和卵巢癌的BRCA1和BRCA2检测就是这样一种广泛使用的检测方法。然而,对这些基因中有害突变具有高灵敏度的临床检测方法也会检测到许多未分类的变异,主要是错义替代。
我们开发了一种格兰瑟姆差异的扩展方法,称为A-GVGD,用于根据错义替代在多序列比对中其位置处的变异范围对错义替代进行评分。结合两种方法,即未分类变异与明确有害突变的共现以及A-GVGD,我们分析了在BRCA1中观察到的大多数错义替代。
A-GVGD能够将已知的中性和有害错义替代解析为不同的集合。此外,在与一个或多个有害突变呈反式且在蛋白质中其位置观察到的跨物种变异范围内观察到的八个先前未分类的BRCA1错义替代,现在被分类为中性。
这里结合的方法可以将约50%与两个或更多明确有害突变一起观察到的错义替代分类为中性。此外,根据A-GVGD评分分组的替代集合估计的优势比与以下假设一致,即在BRCA1中其位置处于跨物种变异范围内的大多数未分类替代也是中性的。对于其中大多数情况,临床重新分类将需要综合应用其他方法,如汇总家族史、分离分析或经过验证的功能测定。