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使用rho统计量进行分子定年的准确性:在一系列人口模型下与合并期望的偏差。

Accuracy of molecular dating with the rho statistic: deviations from coalescent expectations under a range of demographic models.

作者信息

Cox Murray P

机构信息

Arizona Research Laboratories, University of Arizona, AZ 85721, USA.

出版信息

Hum Biol. 2008 Aug;80(4):335-57. doi: 10.3378/1534-6617-80.4.335.

Abstract

The rho statistic is commonly used to infer chronological dates for molecular lineages, especially from mitochondrial DNA sequences obtained in anthropological contexts. Since this approach was described 12 years ago, it has been applied to estimate molecular dates in more than 200 studies, including some published in top-tier journals. However, this method has not been well evaluated, and the accuracy of dates obtained from the rho statistic remains unknown, especially for genetic data collected from populations with complex demographic histories. Here, molecular dates inferred from rho are compared against coalescent expectations from a range of demographic models. This exercise reveals considerable inaccuracy. Molecular dates based on rho have a slight downward bias with large asymmetric variance and commonly exhibit substantial type I error rates, where the true age of a lineage falls outside the 95% confidence bounds derived from the variance of rho. Furthermore, demography proves to be a strong confounding factor in estimating molecular dates accurately, especially for populations in which bottlenecks, founder events, and size changes have played important historical roles. Therefore considerable caution should be applied to inferences made from molecular dates based on the rho statistic, many of which may be misleading and warrant considerable skepticism.

摘要

Rho统计量通常用于推断分子谱系的年代顺序,特别是从人类学背景下获得的线粒体DNA序列中推断。自从12年前描述了这种方法以来,它已被应用于200多项研究中来估计分子年代,其中一些研究发表在顶级期刊上。然而,这种方法尚未得到充分评估,从rho统计量获得的年代准确性仍然未知,特别是对于从具有复杂人口历史的人群中收集的遗传数据。在这里,将从rho推断出的分子年代与一系列人口模型的溯祖预期进行比较。这项研究揭示了相当大的不准确性。基于rho的分子年代存在轻微的向下偏差,方差不对称且较大,并且通常表现出相当大的I型错误率,即谱系的真实年龄落在由rho方差得出的95%置信区间之外。此外,人口统计学被证明是准确估计分子年代的一个强大混杂因素,特别是对于瓶颈、奠基者事件和种群大小变化在历史上发挥了重要作用的人群。因此对于基于rho统计量的分子年代推断应相当谨慎,其中许多推断可能会产生误导,值得高度怀疑。

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