The development of set-based genetic-survival association tests has been focusing on right-censored survival outcomes. However, interval-censored failure time data arise widely from health science studies, especially those on the development of chronic diseases. In this paper, we proposed a suite of set-based genetic association and interaction tests for interval-censored survival outcomes under a unified weighted-V-statistic framework. Besides dealing with interval censoring, the new tests can account for genetic effect heterogeneity and accommodate left truncation of survival outcomes. Simulation studies showed that the new tests perform well in terms of size and power under various scenarios and that the new interaction test is more powerful than the standard likelihood ratio test for testing gene–gene/gene–environment interactions. The practical utility of the developed tests was illustrated by a genome-wide association study of age to early childhood caries.

中文翻译：

---

具有区间截尾生存结果的多标记遗传关联和相互作用测试

基于集合的遗传生存关联测试的开发一直侧重于右删失生存结果。然而，区间删失失效时间数据广泛来自健康科学研究，尤其是那些关于慢性病发展的研究。在本文中，我们提出了一套基于集合的遗传关联和相互作用测试，用于在统一的加权 V 统计框架下进行区间截尾生存结果。除了处理区间审查外，新测试还可以解释遗传效应的异质性并适应生存结果的左截断。模拟研究表明，新测试在各种情况下的大小和功效方面表现良好，并且新的交互测试比测试基因-基因/基因-环境交互的标准似然比测试更强大。