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。 Objective To develop a new statistical method based on score test to infer the co-association between two whole genes. Methods Through the statistical simulation and case analysis, the stability and validity of the statistic based on the score test are evaluated. Results The statistical simulation results show that the statistic based on the score test is wrongly stable. The test performance increases with the increase of the interaction effect value when the sample size is fixed, and increases with the increase of the sample size when the interaction effect value is fixed. The case analysis showed that the co-association between LRP5 and LRP6 genes was statistically significant (P = 0.031). Conclusion Statistics based on the score test is an effective way to test the co-association between two whole genes.