Graphics for relatedness research.
Graphics for relatedness research.
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DOI：
10.1111/1755-0998.12674
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发表时间：
2017-11
影响因子：
7.7
通讯作者：
Barceló-I-Vidal C
中科院分区：
文献类型：
--
作者：
Galván-Femenía I;Graffelman J;Barceló-I-Vidal C
在过去的几十年里，相关性的研究在分子生态学中至关重要。很好的证据是，对人口结构、社会行为演变、遗传多样性和数量遗传学的研究都涉及相关性研究。本文的主要目的是回顾等位基因共享研究中用于检测和识别家庭关系的最常见的图形方法。考虑了基于IBS和IBD的等位基因共享研究。此外，我们还提出了两种来自成分数据分析领域的额外图形方法：IBS和IBD概率的等距对数比的三元图和散点图。我们使用来自HGDP-CEPH多样性小组的遗传数据来说明所有图形工具，主要使用来自该小组的玛雅人群体的25个个体的377个微卫星基因型。我们增强所有的图形与凸壳通过模拟获得，并使用这些来确认记录的关系。建议的组成图形被证明是有用的相关性研究，因为他们也挑出最突出的相关对。三元图是主张其能够显示所有三个等位基因共享概率同时。对数比图被提倡作为一种尝试，以克服经典图形中欧氏距离解释的问题。
Studies of relatedness have been crucial in molecular ecology over the last decades. Good evidence of this is the fact that studies of population structure, evolution of social behaviours, genetic diversity and quantitative genetics all involve relatedness research. The main aim of this article was to review the most common graphical methods used in allele sharing studies for detecting and identifying family relationships. Both IBS‐ and IBD‐based allele sharing studies are considered. Furthermore, we propose two additional graphical methods from the field of compositional data analysis: the ternary diagram and scatterplots of isometric log‐ratios of IBS and IBD probabilities. We illustrate all graphical tools with genetic data from the HGDP‐CEPH diversity panel, using mainly 377 microsatellites genotyped for 25 individuals from the Maya population of this panel. We enhance all graphics with convex hulls obtained by simulation and use these to confirm the documented relationships. The proposed compositional graphics are shown to be useful in relatedness research, as they also single out the most prominent related pairs. The ternary diagram is advocated for its ability to display all three allele sharing probabilities simultaneously. The log‐ratio plots are advocated as an attempt to overcome the problems with the Euclidean distance interpretation in the classical graphics.
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影响因子：
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作者：
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通讯作者：
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影响因子：
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作者：
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影响因子：
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作者：
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影响因子：
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作者：
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通讯作者：
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DOI：
10.1515/sagmb-2014-0080
发表时间：
2015-11-01
影响因子：
0.9
作者：
Garcia-Magarinos, Manuel;Egeland, Thore;Salas, Antonio
通讯作者：
Salas, Antonio