Soussi Thierry, Ishioka Chikashi, Claustres Mireille, Béroud Christophe
Université P.M. Curie, 4 place Jussieu, 75005 Paris, France.
Nat Rev Cancer. 2006 Jan;6(1):83-90. doi: 10.1038/nrc1783.
Between 50,000 and 60,000 mutations have been described in various genes that are associated with a wide variety of diseases. Reporting, storing and analysing these data is an important challenge as such data provide invaluable information for both clinical medicine and basic science. Locus-specific databases have been developed to exploit this huge volume of data. The p53 mutation database is a paradigm, as it constitutes the largest collection of somatic mutations (22,000). However, there are several biases in this database that can lead to serious erroneous interpretations. We describe several rules for mutation database management that could benefit the entire scientific community.
在与各种各样疾病相关的各种基因中,已经发现了5万到6万个突变。报告、存储和分析这些数据是一项重大挑战,因为这些数据为临床医学和基础科学都提供了极其宝贵的信息。为了利用这大量的数据,已经开发了位点特异性数据库。p53突变数据库就是一个范例,因为它是体细胞突变的最大集合(22000个)。然而,该数据库存在一些偏差,可能导致严重的错误解读。我们描述了一些突变数据库管理规则,这可能会使整个科学界受益。