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首页> 外文期刊>The Journal of Heredity >Revisiting FIS, FST, Wahlund Effects, and Null Alleles
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Revisiting FIS, FST, Wahlund Effects, and Null Alleles

机译:重新审视FIS,FST,WAHLUND效应和零等位基因

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Null alleles and Wahlund effects are well known causes of heterozygote deficits in empirical population genetics studies as compared to Hardy–Weinberg genotypic expectations. Some authors have theoretically studied the relationship of Wright’s FIS computed from subsamples displaying a Wahlund effect and FST before the Wahlund effect, as can occasionally be obtained from populations of long-lived organisms. In the 2 subsample case, a positive relationship between these 2 parameters across loci would represent a signature of Wahlund effects. Nevertheless, for most organisms, getting 2 independent subsamples of the same cohort and population, one with a Wahlund effect and the other without, is almost never achieved and most of the time, empirical population geneticists only collect a single sample, with or without a Wahlund effect, or with or without null alleles. Another issue is that null allele increase FIS and FST altogether and thus may also create such correlation. In this article, I show that, for organisms collected in a single sample, which corresponds to the most common situation, Wahlund effects and null alleles affect the values of both FIS and FST though in the opposite direction. I also show that Wahlund effect produces no or weak positive correlation between the 2 F-statistics, while null alleles generate a strong positive correlation between them. Variation of these F-statistics is small and even minimized for FST under Wahlund effects as compared to null alleles. I finally propose a determination key to interpret data with heterozygote deficits.
机译:与Hardy-Weinberg基因型期望相比,零等位基因和Wahlund效应是众所周知的经验群体遗传学研究中的杂合子遗传缺陷。理论上,一些作者已经研究了Wright的FIS与在Wahlund效应之前的副页中计算过的赖斯的FIS的关系,因为偶尔可以从长期生物的群体获得。在2个子样本中,跨洛尼的这两个参数之间的正关系将代表Wahlund效应的签名。尽管如此,对于大多数生物来说,获得2个独立的同一伙伴和人口的独立副产品,一个具有Wahlund效应,另一个没有,而且大部分时间都从未实现过,但经验群体遗传学家只收集单个样本,有或没有a Wahlund效果,或没有零等位基因。另一个问题是,NULL等位基因完全增加了FIS和FST,因此也可能产生这种相关性。在本文中,我表明,对于在单个样本中收集的生物体,这对应于最常见的情况,Wahlund效应和零在等位基因在相反方向上影响了FIS和FST的值。我还表明,Wahlund效果在2 F统计数据之间产生没有或弱的正相关,而NULL等位基因会产生它们之间的强烈正相关。与零等位基因相比,这些F统计的变化很小,甚至最小化了Wahlund效应下的FST。我终于提出了一个决定键来解释具有杂合子赤字的数据。

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