A robust TDT-type association test under informative parental missingness

Jin-Hua Chen, Kuang-Fu Cheng

研究成果: 雜誌貢獻文章同行評審

1 引文 斯高帕斯(Scopus)


Many family-based association tests rely on the random transmission of alleles from parents to offspring. Among them, the transmission/disequilibrium test (TDT) may be considered to be the most popular statistical test. The TDT statistic and its variations were proposed to evaluate nonrandom transmission of alleles from parents to the diseased children. However, in family studies, parental genotypes may be missing due to parental death, loss, divorce, or other reasons. Under some missingness conditions, nonrandom transmission of alleles may still occur even when the gene and disease are not associated. As a consequence, the usual TDT-type tests would produce excessive false positive conclusions in association studies. In this paper, we propose a novel TDT-type association test which is not only simple in computation but also robust to the joint effect of population stratification and informative parental missingness. Our test is model-free and allows for different mechanisms of parental missingness across subpopulations. We use a simulation study to compare the performance of the new test with TDT and point out the advantage of the new method.

頁(從 - 到)291-297
期刊Statistics in Medicine
出版狀態已發佈 - 2月 10 2011

ASJC Scopus subject areas

  • 流行病學
  • 統計與概率


深入研究「A robust TDT-type association test under informative parental missingness」主題。共同形成了獨特的指紋。