International Agency for Research on Cancer, 150 Cours Albert Thomas, Lyon CEDEX 08, F-69372, France.
Breast Cancer Res. 2011 Jan 18;13(1):R6. doi: 10.1186/bcr2810.
Both protein-truncating variants and some missense substitutions in CHEK2 confer increased risk of breast cancer. However, no large-scale study has used full open reading frame mutation screening to assess the contribution of rare missense substitutions in CHEK2 to breast cancer risk. This absence has been due in part to a lack of validated statistical methods for summarizing risk attributable to large numbers of individually rare missense substitutions.
Previously, we adapted an in silico assessment of missense substitutions used for analysis of unclassified missense substitutions in BRCA1 and BRCA2 to the problem of assessing candidate genes using rare missense substitution data observed in case-control mutation-screening studies. The method involves stratifying rare missense substitutions observed in cases and/or controls into a series of grades ordered a priori from least to most likely to be evolutionarily deleterious, followed by a logistic regression test for trends to compare the frequency distributions of the graded missense substitutions in cases versus controls. Here we used this approach to analyze CHEK2 mutation-screening data from a population-based series of 1,303 female breast cancer patients and 1,109 unaffected female controls.
We found evidence of risk associated with rare, evolutionarily unlikely CHEK2 missense substitutions. Additional findings were that (1) the risk estimate for the most severe grade of CHEK2 missense substitutions (denoted C65) is approximately equivalent to that of CHEK2 protein-truncating variants; (2) the population attributable fraction and the familial relative risk explained by the pool of rare missense substitutions were similar to those explained by the pool of protein-truncating variants; and (3) post hoc power calculations implied that scaling up case-control mutation screening to examine entire biochemical pathways would require roughly 2,000 cases and controls to achieve acceptable statistical power.
This study shows that CHEK2 harbors many rare sequence variants that confer increased risk of breast cancer and that a substantial proportion of these are missense substitutions. The study validates our analytic approach to rare missense substitutions and provides a method to combine data from protein-truncating variants and rare missense substitutions into a one degree of freedom per gene test.
CHEK2 的蛋白截断变异和一些错义替换都增加了乳腺癌的风险。然而,没有大规模的研究使用完整的开放阅读框突变筛查来评估 CHEK2 中罕见错义替换对乳腺癌风险的贡献。造成这种情况的部分原因是缺乏有效的统计方法来总结大量单独的罕见错义替换所带来的风险。
此前,我们改编了一种用于分析 BRCA1 和 BRCA2 中未分类错义替换的基于计算机的错义替换评估方法,用于使用病例对照突变筛查研究中观察到的罕见错义替换数据来评估候选基因。该方法包括将病例和/或对照中观察到的罕见错义替换划分为一系列预先排序的等级,从最不可能进化有害的到最有可能进化有害的,然后进行逻辑回归检验趋势,以比较病例与对照中分级错义替换的频率分布。在这里,我们使用这种方法分析了来自基于人群的 1303 名女性乳腺癌患者和 1109 名无乳腺癌女性对照的 CHEK2 突变筛查数据。
我们发现了与罕见的、进化上不太可能的 CHEK2 错义替换相关的风险证据。其他发现包括:(1)最严重等级的 CHEK2 错义替换(表示 C65)的风险估计值与 CHEK2 蛋白截断变体大致相当;(2)稀有错义替换池解释的人群归因分数和家族相对风险与蛋白截断变体池解释的相似;(3)事后功效计算表明,通过病例对照突变筛查扩大整个生化途径的研究需要大约 2000 例病例和对照才能达到可接受的统计功效。
这项研究表明,CHEK2 携带有许多增加乳腺癌风险的罕见序列变异,其中相当一部分是错义替换。该研究验证了我们对罕见错义替换的分析方法,并提供了一种方法,可以将蛋白截断变体和罕见错义替换的数据组合成一个基因测试的自由度。