Department of Biology, Duke University, Box 90338, Durham, NC 27708-0338, USA.
Theor Popul Biol. 2024 Oct;159:74-90. doi: 10.1016/j.tpb.2024.08.002. Epub 2024 Aug 30.
This study describes a compact method for determining joint probabilities of identity-by-state (IBS) within and between loci in populations evolving under genetic drift, crossing-over, mutation, and regular inbreeding (partial self-fertilization). Analogues of classical indices of associations among loci arise as functions of these joint identities. This coalescence-based analysis indicates that multi-locus associations reflect simultaneous coalescence events across loci. Measures of association depend on genetic diversity rather than allelic frequencies, as do linkage disequilibrium and its relatives. Scaled indices designed to show monotonic dependence on rates of crossing-over, inbreeding, and mutation may prove useful for interpreting patterns of genome-scale variation.
本研究描述了一种在遗传漂变、交叉、突变和常规近亲繁殖(部分自交)作用下的群体中,确定个体间和个体内基因状态相同(IBS)联合概率的紧凑方法。这些联合身份的函数产生了经典关联指数的类似物。这种基于合并的分析表明,多基因座关联反映了基因座之间的同时合并事件。关联的度量取决于遗传多样性,而不是等位基因频率,连锁不平衡及其亲属也是如此。设计用于显示与交叉、近交和突变率单调相关的比例指数,可能有助于解释基因组规模变异的模式。