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对亲权推断程序CERVUS准确性的回顾性评估。

A retrospective assessment of the accuracy of the paternity inference program CERVUS.

作者信息

Slate J, Marshall T, Pemberton J

机构信息

Institute of Cell, Animal and Population Biology, University of Edinburgh, West Mains Road, EH9 3JT, UK.

出版信息

Mol Ecol. 2000 Jun;9(6):801-8. doi: 10.1046/j.1365-294x.2000.00930.x.

DOI:10.1046/j.1365-294x.2000.00930.x
PMID:10849296
Abstract

CERVUS is a Windows-based software package written to infer paternity in natural populations. It offers advantages over exclusionary-based methods of paternity inference in that multiple nonexcluded males can be statistically distinguished, laboratory typing error is considered and statistical confidence is determined for assigned paternities through simulation. In this study we use a panel of 84 microsatellite markers to retrospectively determine the accuracy of statistical confidence when CERVUS was used to infer paternity in a population of red deer (Cervus elaphus). The actual confidence of CERVUS-assigned paternities was not significantly different from that predicted by simulation.

摘要

CERVUS是一个基于Windows的软件包,用于推断自然种群中的父系关系。与基于排除法的父系推断方法相比,它具有优势,因为可以通过统计方法区分多个未被排除的雄性个体,考虑实验室分型误差,并通过模拟确定所指定父系关系的统计置信度。在本研究中,我们使用一组84个微卫星标记,回顾性地确定在马鹿(Cervus elaphus)种群中使用CERVUS推断父系关系时统计置信度的准确性。CERVUS指定父系关系的实际置信度与模拟预测的置信度没有显著差异。

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