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  • 标题:Design cost-effective genome-wide and candidate gene association studies of mother-child pairs
  • 本地全文:下载
  • 作者:Jinbo Chen ; Yun Lu ; Cuilin Zhang
  • 期刊名称:Statistics and Its Interface
  • 印刷版ISSN:1938-7989
  • 电子版ISSN:1938-7997
  • 出版年度:2010
  • 卷号:3
  • 期号:4
  • 页码:543-555
  • DOI:10.4310/SII.2010.v3.n4.a12
  • 出版社:International Press
  • 摘要: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.
  • 关键词:mother-child pairs; maternal genotype effect; offspring genotype effect; one-stage design; two-stage design
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