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Assessment of Parent-of-Origin Effects in Linkage Analysis of Quantitative Traits

机译:数量性状连锁分析中原产地效应的评估

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摘要

Methods are presented for incorporation of parent-of-origin effects into linkage analysis of quantitative traits. The estimated proportion of marker alleles shared identical by descent is first partitioned into a component derived from the mother and a component derived from the father. These parent-specific estimates of allele sharing are used in variance-components or Haseman-Elston methods of linkage analysis so that the effect of the quantitative-trait locus carried on the maternally derived chromosome is potentially different from the effect of the locus on the paternally derived chromosome. Statistics for linkage between trait and marker loci derived from either or both parents are then calculated, as are statistics for testing whether the effect of the maternally derived locus is equal to that of the paternally derived locus. Analyses of data simulated for 956 siblings from 263 nuclear families who had participated in a linkage study revealed that type I error rates for these statistics were generally similar to nominal values. Power to detect an imprinted locus was substantially increased when analyzed with a model allowing for parent-of-origin effects, compared with analyses that assumed equal effects; for example, for an imprinted locus accounting for 30% of the phenotypic variance, the expected LOD score was 4.5 when parent-of-origin effects were incorporated into the analysis, compared with 3.1 when these effects were ignored. The ability to include parent-of-origin effects within linkage analysis of quantitative traits will facilitate genetic dissection of complex traits.
机译:提出了将原产地效应纳入定量性状连锁分析的方法。首先将通过血统共享相同的标记等位基因的估计比例首先分为源自母亲的成分和源自父亲的成分。这些父母特定的等位基因共享估计用于方差分量或Haseman-Elston连锁分析方法中,因此,在源自母体的染色体上携带的定量性状基因座的影响可能不同于该基因座对父本的影响衍生染色体。然后计算从任一或两个亲本衍生的性状和标记基因座之间的连锁关系的统计量,以及用于检验母本衍生基因座的作用是否等于父本衍生基因座的作用的统计。对来自参与关联研究的263个核心家庭的956个兄弟姐妹的模拟数据进行的分析表明,这些统计数据的I类错误率通常与标称值相似。与假定均等效应的分析相比,使用允许起源有母体效应的模型进行分析时,检测到印迹基因座的能力大大提高了。例如,对于占表型变异30%的印迹基因座,当将原产地效应纳入分析时,预期LOD得分为4.5,而忽略这些效应则为3.1。在数量性状的连锁分析中包含原产地效应的能力将有助于复杂性状的遗传解剖。

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