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纯合子缺失与 FIS×FST 的相关性。

Null Alleles and FIS × FST Correlations.

机构信息

Northwest Fisheries Science Center, Seattle.

出版信息

J Hered. 2018 May 11;109(4):457-461. doi: 10.1093/jhered/esy013.

DOI:10.1093/jhered/esy013
PMID:29554281
Abstract

Three published papers in this journal have considered the proposition that, under a Wahlund effect caused by population mixture, a positive correlation is expected between single-locus values of FIS for a sample from the mixture and FST between the populations contributing to the mixture. Two of the papers assumed unbiased samples to estimate FST but did not consider possible effects of null alleles; the other paper focused on effects of nulls but used biased samples that also included Wahlund effects to estimate FST. The result is an information gap regarding scenarios that include null alleles but have unbiased estimates of FST. Simulations were used to fill this information gap, with the following results: 1) converting ~10% of alleles to nulls substantially reduced apparent heterozygosity and substantially increased FIS, with few exceptions; 2) adding null alleles also increased FST at most loci, although the effect was much more modest; 3) null alleles generally degraded correlations between FIS and FST, but the relationship remained relatively strong for FST ≥ 0.06; and 4) null alleles had only a small effect on correlations between r2, a measure of linkage disequilibrium between pairs of loci, and the product of FST values for those loci. These results argue for some caution in interpreting FIS × FST correlations under conditions where null alleles might be common and suggest that two-locus analyses might provide more robust assessments of Wahlund effects.

摘要

本期刊登的三篇论文探讨了这样一种假设,即在由群体混合引起的 Wahlund 效应下,混合群体样本的单一位点 FIS 值与混合群体间的 FST 值之间预计存在正相关关系。其中两篇论文假设无偏样本用于估计 FST,但未考虑无效等位基因的可能影响;另一篇论文则专注于无效等位基因的影响,但使用包含 Wahlund 效应的有偏样本来估计 FST。结果是,在包括无效等位基因但具有无偏 FST 估计值的情况下,存在信息缺口。模拟用于填补这一信息缺口,结果如下:1)将~10%的等位基因转换为无效等位基因会显著降低表观杂合度,并显著增加 FIS,除了少数例外;2)添加无效等位基因也会增加大多数位点的 FST,尽管效果要小得多;3)无效等位基因通常会降低 FIS 与 FST 之间的相关性,但对于 FST≥0.06,这种关系仍然相对较强;4)无效等位基因对 r2(衡量两个位点间连锁不平衡程度的指标)与这些位点 FST 值乘积之间的相关性影响很小。这些结果表明,在无效等位基因可能很常见的情况下,在解释 FIS×FST 相关性时需要谨慎,并表明双位点分析可能提供更稳健的 Wahlund 效应评估。

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