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Design cost-effective genome-wide and candidate gene association studies of mother-child pairs

机译:设计经济高效的全母子对全基因组和候选基因关联研究

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A case-control mother-child pair design is popular for genetic association studies of obstetric or neonatal outcomes because it allows assessment of both maternal and offspring genotype effects. But a practical constraint is the high genotyping cost, which may double that for a study with the same number of unrelated cases and controls. This issue is particularly relevant for genome-wide association studies, despite the decreasing genotyping cost. Here, we developed cost-effective genotyping strategies for the case-control mother-child pair design. We assumed that the maternal genome had been genotyped $a priori$, and that the primary goal was to detect marginal offspring genotype effects. Our results indicated that only offspring of case mothers needed to be genotyped in order to achieve a statistical power similar to that for screening the maternal genome. Our conclusion was based on a novel score statistic for testing offspring genotype effects that has a higher power than the Armitage trend test.
机译:病例对照的母子对设计在产科或新生儿结局的遗传关联研究中很受欢迎,因为它可以评估母体和后代的基因型效应。但是一个实际的限制是基因分型的高昂成本,对于具有相同数量无关病例和对照的研究,这可能是其两倍。尽管基因分型成本降低,但这个问题对于全基因组关联研究尤为重要。在这里,我们为病例对照母婴配对设计开发了具有成本效益的基因分型策略。我们假设母体基因组已经被先验了基因型,并且主要目标是检测边缘后代的基因型效应。我们的结果表明,只有案例母亲的后代才需要进行基因分型,以获得与筛选母体基因组相似的统计能力。我们的结论是基于一种用于测试后代基因型效应的新颖评分统计数据,该结果具有比Armitage趋势检验更高的功效。

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