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亲子三联体中的数量性状关联:病例/伪对照方法的扩展及前瞻性与回顾性方法的比较。

Quantitative trait association in parent offspring trios: Extension of case/pseudocontrol method and comparison of prospective and retrospective approaches.

作者信息

Wheeler Eleanor, Cordell Heather J

机构信息

The Wellcome Trust Sanger Institute, Cambridge, UK.

出版信息

Genet Epidemiol. 2007 Dec;31(8):813-33. doi: 10.1002/gepi.20243.

Abstract

The case/pseudocontrol method provides a convenient framework for family-based association analysis of case-parent trios, incorporating several previously proposed methods such as the transmission/disequilibrium test and log-linear modelling of parent-of-origin effects. The method allows genotype and haplotype analysis at an arbitrary number of linked and unlinked multiallelic loci, as well as modelling of more complex effects such as epistasis, parent-of-origin effects, maternal genotype and mother-child interaction effects, and gene-environment interactions. Here we extend the method for analysis of quantitative as opposed to dichotomous (e.g. disease) traits. The resulting method can be thought of as a retrospective approach, modelling genotype given trait value, in contrast to prospective approaches that model trait given genotype. Through simulations and analytical derivations, we examine the power and properties of our proposed approach, and compare it to several previously proposed single-locus methods for quantitative trait association analysis. We investigate the performance of the different methods when extended to allow analysis of haplotype, maternal genotype and parent-of-origin effects. With randomly ascertained families, with or without population stratification, the prospective approach (modeling trait value given genotype) is found to be generally most effective, although the retrospective approach has some advantages with regard to estimation and interpretability of parameter estimates when applied to selected samples.

摘要

病例/伪对照方法为基于家系的病例-父母三联体关联分析提供了一个便捷的框架,它整合了几种先前提出的方法,如传递/不平衡检验和起源亲本效应的对数线性建模。该方法允许在任意数量的连锁和非连锁多等位基因位点进行基因型和单倍型分析,还能对更复杂的效应进行建模,如上位性、起源亲本效应、母本基因型和母子相互作用效应以及基因-环境相互作用。在这里,我们将该方法扩展用于分析定量而非二分(如疾病)性状。由此产生的方法可以被认为是一种回顾性方法,即根据性状值对基因型进行建模,这与根据基因型对性状进行建模的前瞻性方法形成对比。通过模拟和分析推导,我们检验了所提出方法的效能和特性,并将其与几种先前提出的用于定量性状关联分析的单基因座方法进行比较。我们研究了将不同方法扩展以允许分析单倍型、母本基因型和起源亲本效应时的性能。对于随机确定的家系,无论有无群体分层,前瞻性方法(根据基因型对性状值进行建模)通常被发现是最有效的,尽管回顾性方法在应用于选定样本时,在参数估计的估计和可解释性方面具有一些优势。

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