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首页> 外文期刊>Nucleic Acids Research >Estimation of the RNU2 macrosatellite mutation rate by BRCA1 mutation tracing
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Estimation of the RNU2 macrosatellite mutation rate by BRCA1 mutation tracing

机译:BRCA1突变追踪估计RNU2大肽突变率的估计

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摘要

Large tandem repeat sequences have been poorly investigated as severe technical limitations and their frequent absence from the genome reference hinder their analysis. Extensive allelotyping of this class of variation has not been possible until now and their mutational dynamics are still poorly known. In order to estimate the mutation rate of a macrosatellite, we analysed in detail the RNU2 locus, which displays at least 50 different alleles containing 5-82 copies of a 6.1 kb repeat unit. Mining data from the 1000 Genomes Project allowed us to precisely estimate copy numbers of the RNU2 repeat unit using read depth of coverage. This further revealed significantly different mean values in various recent modern human populations, favoring a scenario of fast evolution of this locus. Its proximity to a disease gene with numerous founder mutations, BRCA1, within the same linkage disequilibrium block, offered the unique opportunity to trace RNU2 arrays over a large timescale. Analysis of the transmission of RNU2 arrays associated with one 'private' mutation in an extended kindred and four founder mutations in multiple kindreds gave an estimation by maximum likelihood of 5 x 10(-3) mutations per generation, which is close to that of microsatellites.
机译:大串联重复序列对严重的技术限制较严重调查,并且他们频繁地没有基因组参考妨碍他们的分析。直到现在,这类变化的广泛的异位均未实现,并且其突变动态仍然已知不知名。为了估计大织肽的突变率,我们详细分析了RNU2基因座,其显示至少50个不同的等位基因,其中含有5-82份的6.1kb重复单元。来自1000个基因组项目的挖掘数据允许我们使用读取的覆盖深度精确估计RNU2重复单元的拷贝数。这进一步揭示了各种近期现代人群中的显着不同的平均值,偏好了这种基因座的快速进化的情景。它在同一联动不平衡阻滞中邻近具有许多创始突变的疾病基因,BRCA1提供了追踪RNU2阵列的独特机会,以在大型时间内追踪RNU2阵列。在多种追求中的延伸的索维和四个创始人突变中与一个“私人”突变相关联的RNU2阵列的传输给出了每种产生的最大可能性为5×10(3)突变的估计,这与微卫星的突变。

著录项

  • 来源
    《Nucleic Acids Research》 |2014年第14期|共10页
  • 作者单位

    Univ Lyon 1 Genet Breast Canc Team UMR5286 Canc Res Ctr Lyon CNRS Ctr Leon Berard Inserm U10 F-69365 Lyon France;

    Univ Lyon 1 CNRS UMR5558 Lab Biometrie &

    amp;

    Biol Evolut F-69622 Villeurbanne France;

    Univ Lyon 1 Genet Breast Canc Team UMR5286 Canc Res Ctr Lyon CNRS Ctr Leon Berard Inserm U10 F-69365 Lyon France;

    Univ Lyon 1 Genet Breast Canc Team UMR5286 Canc Res Ctr Lyon CNRS Ctr Leon Berard Inserm U10 F-69365 Lyon France;

    Univ Lyon 1 Genet Breast Canc Team UMR5286 Canc Res Ctr Lyon CNRS Ctr Leon Berard Inserm U10 F-69365 Lyon France;

    Hosp Civils Lyon Ctr Leon Berard Unite Mixte Genet Constitutionnelle Canc Frequent Lyon France;

    Univ Utah Sch Med Dept Dermatol Salt Lake City UT USA;

    Univ Utah Sch Med Dept Dermatol Salt Lake City UT USA;

    Univ Lyon 1 Genet Breast Canc Team UMR5286 Canc Res Ctr Lyon CNRS Ctr Leon Berard Inserm U10 F-69365 Lyon France;

    Univ Lyon 1 CNRS UMR5558 Lab Biometrie &

    amp;

    Biol Evolut F-69622 Villeurbanne France;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 生物化学;
  • 关键词

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