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有限种群中紧密连锁的超显性基因座的平衡选择。

Balancing selection at closely linked, overdominant loci in a finite population.

作者信息

Slatkin M

机构信息

Department of Integrative Biology, University of California, Berkeley, California 94720-3140, USA.

出版信息

Genetics. 2000 Mar;154(3):1367-78. doi: 10.1093/genetics/154.3.1367.

Abstract

High levels of allelic diversity and strong linkage disequilibrium are found in the major histocompatibility (MHC) system in humans and other vertebrates. This article proposes several descriptive statistics that quantify the extent and pattern of strong linkage disequilibrium between pairs of highly polymorphic loci. It also develops an approximate analytic theory incorporating the effects of balancing selection, mutation, recombination, and genetic drift at two closely linked loci and compares the theoretical predictions with published surveys of the MHC class II loci, DQA1 and DQB1, in humans and nonhuman primates. The descriptive statistics proposed include the fraction of complementary haplotypes (haplotypes with D' = 1), the fraction of excess haplotypes, and the numbers of alleles at each locus in complementary haplotypes with one or more alleles at the other locus. The model assumes the infinite alleles model of mutation and the symmetric overdominance model of selection. Analytic approximations in some cases are obtained in the strong selection, weak mutation (SSWM) limit introduced by J. Gillespie. The predictions of the approximate analysis are confirmed by simulation. Both the analytic theory and simulations show that relatively few haplotypes will be found when selection is strong and recombination is weak relative to genetic drift. The model can reproduce many of the observed patterns at DQA1 and DQB1 provided that the recombination rate is assumed to be very small.

摘要

在人类和其他脊椎动物的主要组织相容性(MHC)系统中发现了高水平的等位基因多样性和强烈的连锁不平衡。本文提出了几种描述性统计方法,用于量化高度多态性位点对之间强烈连锁不平衡的程度和模式。本文还开发了一种近似分析理论,纳入了两个紧密连锁位点的平衡选择、突变、重组和遗传漂变的影响,并将理论预测与已发表的关于人类和非人类灵长类动物MHC II类位点DQA1和DQB1的调查进行了比较。所提出的描述性统计方法包括互补单倍型(D' = 1的单倍型)的比例、过量单倍型的比例,以及在另一个位点有一个或多个等位基因的互补单倍型中每个位点的等位基因数量。该模型假设了突变的无限等位基因模型和选择的对称超显性模型。在J. Gillespie引入的强选择、弱突变(SSWM)极限情况下,得到了一些情况下的解析近似值。近似分析的预测通过模拟得到了证实。解析理论和模拟都表明,当选择强烈且相对于遗传漂变重组较弱时,会发现相对较少的单倍型。假设重组率非常小,该模型可以重现DQA1和DQB1处许多观察到的模式。

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