Queensland Institute of Medical Research, Brisbane, Australia.
Hum Mutat. 2011 Jun;32(6):678-87. doi: 10.1002/humu.21495. Epub 2011 Apr 12.
Clinical management of breast cancer families is complicated by identification of BRCA1 and BRCA2 sequence alterations of unknown significance. Molecular assays evaluating the effect of intronic variants on native splicing can help determine their clinical relevance. Twenty-six intronic BRCA1/2 variants ranging from the consensus dinucleotides in the splice acceptor or donor to 53 nucleotides into the intron were identified in multiple-case families. The effect of the variants on splicing was assessed using HSF matrices, MaxEntScan and NNsplice, followed by analysis of mRNA from lymphoblastoid cell lines. A total of 12 variants were associated with splicing aberrations predicted to result in production of truncated proteins, including a variant located 12 nucleotides into the intron. The posterior probability of pathogenicity was estimated using a multifactorial likelihood approach, and provided a pathogenic or likely pathogenic classification for seven of the 12 spliceogenic variants. The apparent disparity between experimental evidence and the multifactorial predictions is likely due to several factors, including a paucity of likelihood information and a nonspecific prior probability applied for intronic variants outside the consensus dinucleotides. Development of prior probabilities of pathogenicity incorporating bioinformatic prediction of splicing aberrations should improve identification of functionally relevant variants and enhance multifactorial likelihood analysis of intronic variants.
乳腺癌家族的临床管理因鉴定出 BRCA1 和 BRCA2 序列改变而变得复杂,这些改变的意义尚不清楚。评估内含子变异对天然剪接影响的分子检测有助于确定其临床相关性。在多病例家族中发现了 26 种 BRCA1/2 内含子变异,范围从剪接受体或供体的保守二核苷酸到内含子的 53 个核苷酸。使用 HSF 矩阵、MaxEntScan 和 NNsplice 评估了变异对剪接的影响,然后分析了来自淋巴母细胞系的 mRNA。共有 12 种变异与剪接异常相关,预测会导致截短蛋白的产生,包括位于内含子 12 个核苷酸处的变异。使用多因素似然方法估计了致病性的后验概率,并对 12 种剪接原变体中的 7 种进行了致病性或可能致病性的分类。实验证据与多因素预测之间的明显差异可能归因于多种因素,包括可能性信息不足以及对非保守二核苷酸之外的内含子变异应用非特异性先验概率。通过将剪接异常的生物信息学预测纳入致病性先验概率的开发,应能提高对功能相关变异的识别,并增强对内含子变异的多因素似然分析。