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性连锁遗传的估计和可识别性问题研究——以瑞士猫头鹰(Tyto alba)的色素沉着为例。

On estimation and identifiability issues of sex-linked inheritance with a case study of pigmentation in Swiss barn owl (Tyto alba).

机构信息

Department of Mathematical Sciences, NTNU NO-7491, Trondheim, Norway.

Department of Mathematical Sciences, Centre for Biodiversity Dynamics, NTNU NO-7491, Trondheim, Norway.

出版信息

Ecol Evol. 2014 May;4(9):1555-66. doi: 10.1002/ece3.1032. Epub 2014 Mar 29.

Abstract

Genetic evaluation using animal models or pedigree-based models generally assume only autosomal inheritance. Bayesian animal models provide a flexible framework for genetic evaluation, and we show how the model readily can accommodate situations where the trait of interest is influenced by both autosomal and sex-linked inheritance. This allows for simultaneous calculation of autosomal and sex-chromosomal additive genetic effects. Inferences were performed using integrated nested Laplace approximations (INLA), a nonsampling-based Bayesian inference methodology. We provide a detailed description of how to calculate the inverse of the X- or Z-chromosomal additive genetic relationship matrix, needed for inference. The case study of eumelanic spot diameter in a Swiss barn owl (Tyto alba) population shows that this trait is substantially influenced by variation in genes on the Z-chromosome ([Formula: see text] and [Formula: see text]). Further, a simulation study for this study system shows that the animal model accounting for both autosomal and sex-chromosome-linked inheritance is identifiable, that is, the two effects can be distinguished, and provides accurate inference on the variance components.

摘要

使用动物模型或基于系谱的模型进行遗传评估通常假设只有常染色体遗传。贝叶斯动物模型为遗传评估提供了一个灵活的框架,我们展示了如何使该模型轻松适应感兴趣的性状既受常染色体遗传又受性连锁遗传影响的情况。这允许同时计算常染色体和性染色体加性遗传效应。推断是使用集成嵌套拉普拉斯近似法(INLA)进行的,这是一种无抽样的贝叶斯推断方法。我们提供了如何计算 X 或 Z 染色体加性遗传关系矩阵逆的详细说明,这是推断所必需的。瑞士仓鸮(Tyto alba)种群中黑色素斑直径的案例研究表明,该性状受 Z 染色体上基因变异的显著影响([Formula: see text]和[Formula: see text])。此外,针对该研究系统的模拟研究表明,同时考虑常染色体和性染色体连锁遗传的动物模型是可识别的,也就是说,可以区分这两个效应,并对方差分量进行准确推断。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6e1/4063458/b7f2966c136a/ece30004-1555-f1.jpg

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