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Estimation of the RNU2 macrosatellite mutation rate by BRCA1 mutation tracing

机译:通过BRCA1突变追踪估算RNU2大卫星突变率

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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 × 10−3 mutations per generation, which is close to that of microsatellites.
机译:由于严重的技术局限性以及对基因组参考的频繁缺失,阻碍了对其的分析,因此尚未对大型串联重复序列进行深入研究。到目前为止,这类变异的广泛变态反应还不可能,而且其突变动力学仍然知之甚少。为了估计大卫星的突变率,我们详细分析了RNU2基因座,该基因座显示至少50个不同的等位基因,其中包含5-82个6.1 kb重复单元。来自1000个基因组计划的数据挖掘使我们能够使用读取的覆盖深度精确估算RNU2重复单元的拷贝数。这进一步揭示了在近代各种现代人群中均值存在明显差异,这有利于该基因座快速进化的情况。它在同一连锁不平衡区中接近具有众多创始人突变的疾病基因BRCA1,从而为在大范围内追踪RNU2阵列提供了独特的机会。分析与扩展亲缘族中的一个“私人”突变和多个亲缘族中的四个奠基者突变相关的RNU2阵列的传播,得出最大估计数为每代5×10 -3 突变,即接近微卫星。

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