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山东大学学报(医学版) ›› 2016, Vol. 54 ›› Issue (1): 75-79.doi: 10.6040/j.issn.1671-7554.0.2015.667

• 临床医学 • 上一篇    下一篇

基于得分检验的两整体基因间共关联作用的统计推断

徐静,袁中尚,薛付忠,刘言训   

  1. 山东大学公共卫生学院生物统计学系, 山东 济南 250012
  • 收稿日期:2015-01-08 出版日期:2016-01-11 发布日期:2016-01-11
  • 通讯作者: 薛付忠. E-mail:xuefzh@sdu.edu.cn; 刘言训. E-mail:liu-yx@sdu.edu.cn E-mail:xuefzh@sdu.edu.cn; liu-yx@sdu.edu.cn
  • 基金资助:
    国家自然科学基金(81273177,81373100);国家自然科学基金青年基金(31200994)

Statistical inference for detecting co-association of two whole genes based on score test

XU Jing, YUAN Zhongshang, XUE Fuzhong, LIU Yanxun   

  1. Department of Biostatistics, School of Public Health, Shandong University, Jinan 250012, Shandong, China
  • Received:2015-01-08 Online:2016-01-11 Published:2016-01-11

摘要: 目的 发展一种基于得分检验的新型统计方法,用于推断两整体基因间的共关联作用。 方法 通过统计模拟和实例分析,评价基于得分检验的统计量的稳定性与有效性。 结果 统计模拟结果显示,基于得分检验的统计量一类错误稳定。检验效能在样本量固定的情况下,随着交互作用效应值的增加而升高;在交互作用效应值固定的情况下,随着样本量的增加而升高。实例数据分析表明,LRP5与LRP6两基因间的共关联作用具有统计学意义(P=0.031)。 结论 基于得分检验的统计量是检验两整体基因间共关联作用的一种有效方法。

关键词: 得分检验, 统计量, 整体基因, 共关联

Abstract: Objective To develop a novel score-based statistical method for inferring co-association of two whole genes. Methods Statistical simulations and real data analysis were used to assess the stability and validity of the score-based statistic. Results Statistical simulation results demonstrated that the type I error rates of the score-based statistic were stable. Its power increased with the larger interaction effects under fixed sample sizes and also increased with the larger sample sizes under fixed interaction effects. Furthermore, real data analysis showed that the co-association of LRP5 and LRP6 was significant(P=0.031). Conclusion The score-based statistic is a powerful method of testing co-association of two whole genes.

Key words: Score test, Statistic, Whole gene, Co-association

中图分类号: 

  • R195.1
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