JOURNAL OF SHANDONG UNIVERSITY (HEALTH SCIENCES) ›› 2016, Vol. 54 ›› Issue (1): 75-79.doi: 10.6040/j.issn.1671-7554.0.2015.667

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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

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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

CLC Number: 

  • R195.1
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