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ATM基因中罕见的、从进化角度来看不太可能出现的错义替换会增加患乳腺癌的风险。

Rare, evolutionarily unlikely missense substitutions in ATM confer increased risk of breast cancer.

作者信息

Tavtigian Sean V, Oefner Peter J, Babikyan Davit, Hartmann Anne, Healey Sue, Le Calvez-Kelm Florence, Lesueur Fabienne, Byrnes Graham B, Chuang Shu-Chun, Forey Nathalie, Feuchtinger Corinna, Gioia Lydie, Hall Janet, Hashibe Mia, Herte Barbara, McKay-Chopin Sandrine, Thomas Alun, Vallée Maxime P, Voegele Catherine, Webb Penelope M, Whiteman David C, Sangrajrang Suleeporn, Hopper John L, Southey Melissa C, Andrulis Irene L, John Esther M, Chenevix-Trench Georgia

机构信息

International Agency for Research on Cancer, 69372 Lyon, France.

出版信息

Am J Hum Genet. 2009 Oct;85(4):427-46. doi: 10.1016/j.ajhg.2009.08.018. Epub 2009 Sep 24.

Abstract

The susceptibility gene for ataxia telangiectasia, ATM, is also an intermediate-risk breast-cancer-susceptibility gene. However, the spectrum and frequency distribution of ATM mutations that confer increased risk of breast cancer have been controversial. To assess the contribution of rare variants in this gene to risk of breast cancer, we pooled data from seven published ATM case-control mutation-screening studies, including a total of 1544 breast cancer cases and 1224 controls, with data from our own mutation screening of an additional 987 breast cancer cases and 1021 controls. Using an in silico missense-substitution analysis that provides a ranking of missense substitutions from evolutionarily most likely to least likely, we carried out analyses of protein-truncating variants, splice-junction variants, and rare missense variants. We found marginal evidence that the combination of ATM protein-truncating and splice-junction variants contribute to breast cancer risk. There was stronger evidence that a subset of rare, evolutionarily unlikely missense substitutions confer increased risk. On the basis of subset analyses, we hypothesize that rare missense substitutions falling in and around the FAT, kinase, and FATC domains of the protein may be disproportionately responsible for that risk and that a subset of these may confer higher risk than do protein-truncating variants. We conclude that a comparison between the graded distributions of missense substitutions in cases versus controls can complement analyses of truncating variants and help identify susceptibility genes and that this approach will aid interpretation of the data emerging from new sequencing technologies.

摘要

共济失调毛细血管扩张症的易感基因ATM,也是一种中度风险的乳腺癌易感基因。然而,赋予乳腺癌风险增加的ATM突变的谱型和频率分布一直存在争议。为了评估该基因中罕见变异对乳腺癌风险的贡献,我们汇总了七项已发表的ATM病例对照突变筛查研究的数据,包括总共1544例乳腺癌病例和1224例对照,以及我们自己对另外987例乳腺癌病例和1021例对照进行突变筛查的数据。使用一种计算机模拟错义替代分析方法,该方法根据进化上最可能到最不可能的顺序对错义替代进行排名,我们对蛋白质截短变异、剪接连接变异和罕见错义变异进行了分析。我们发现有微弱证据表明,ATM蛋白质截短变异和剪接连接变异的组合会增加乳腺癌风险。有更强的证据表明,一部分罕见的、进化上不太可能的错义替代会增加风险。基于亚组分析,我们推测,位于该蛋白质的FAT、激酶和FATC结构域及其周围的罕见错义替代可能对该风险负有不成比例的责任,并且其中一部分可能比蛋白质截短变异带来更高的风险。我们得出结论,病例与对照中错义替代的分级分布之间的比较可以补充对截短变异的分析,并有助于识别易感基因,并且这种方法将有助于解释新测序技术产生的数据。

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