首页> 外文期刊>European journal of human genetics: EJHG >Mutation rate estimates for 110 Y-chromosome STRs combining population and father-son pair data.
【24h】

Mutation rate estimates for 110 Y-chromosome STRs combining population and father-son pair data.

机译:结合人口和父子对数据,估计110个Y染色体STR的突变率。

获取原文
获取原文并翻译 | 示例
           

摘要

Y-chromosome microsatellites (Y-STRs) are typically used for kinship analysis and forensic identification, as well as for inferences on population history and evolution. All applications would greatly benefit from reliable locus-specific mutation rates, to improve forensic probability calculations and interpretations of diversity data. However, estimates of mutation rate from father-son transmissions are available for few loci and have large confidence intervals, because of the small number of meiosis usually observed. By contrast, population data exist for many more Y-STRs, holding unused information about their mutation rates. To incorporate single locus diversity information into Y-STR mutation rate estimation, we performed a meta-analysis using pedigree data for 80 loci and individual haplotypes for 110 loci, from 29 and 93 published studies, respectively. By means of logistic regression we found that relative genetic diversity, motif size and repeat structure explain the variance of observed rates of mutations from meiosis. This model allowed us to predict locus-specific mutation rates (mean predicted mutation rate 2.12 x 10(-3), SD=1.58 x 10(-3)), including estimates for 30 loci lacking meiosis observations and 41 with a previous estimate of zero. These estimates are more accurate than meiosis-based estimates when a small number of meiosis is available. We argue that our methodological approach, by taking into account locus diversity, could be also adapted to estimate population or lineage-specific mutation rates. Such adjusted estimates would represent valuable information for selecting the most reliable markers for a wide range of applications.
机译:Y染色体微卫星(Y-STR)通常用于血缘关系分析和法医鉴定,以及推断种群历史和进化的过程。所有应用程序都将从可靠的特定位点突变率中受益,以改善法医概率计算和多样性数据的解释。但是,由于通常观察到的减数分裂数量很少,因此从父子传播获得的突变率估计值仅适用于很少的基因座,并且具有较大的置信区间。相比之下,存在更多的Y-STR的种群数据,其中包含未使用的有关其突变率的信息。为了将单个基因座多样性信息整合到Y-STR突变率估计中,我们分别使用了来自29个和93个已发表研究的80个基因座的谱系数据和110个基因座的单倍型进行了荟萃分析。通过逻辑回归,我们发现相对遗传多样性,基序大小和重复结构可以解释观察到的减数分裂突变率的差异。该模型使我们能够预测基因座特异的突变率(平均预测突变率2.12 x 10(-3),SD = 1.58 x 10(-3)),包括对30个缺乏减数分裂观测的基因座的估计和41个先前的减数分裂估计。零。当少量减数分裂可用时,这些估计比基于减数分裂的估计更准确。我们认为,通过考虑基因座多样性,我们的方法学方法还可以适用于估计种群或谱系特异性突变率。此类调整后的估算值将代表宝贵的信息,可为各种应用选择最可靠的标记。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号