A Permutation Test for Oligoset DNA Pooling Studies

نویسندگان

  • Hsiao-Yuan Huang
  • Jui-Hsiang Lin
  • Wen-Chung Lee
چکیده

Case-control association studies often suffer from population stratification bias. A previous triple combination strategy of stratum matching, genomic controlling, and multiple DNA pooling can correct the bias and save genotyping cost. However the method requires researchers to prepare a multitude of DNA pools-more than 30 case-control pooling sets in total (polyset). In this paper, the authors propose a permutation test for oligoset DNA pooling studies. Monte-Carlo simulations show that the proposed test has a type I error rate under control and a power comparable to that of individual genotyping. For a researcher on a tight budget, oligoset DNA pooling is a viable option.

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عنوان ژورنال:

دوره 10  شماره 

صفحات  -

تاریخ انتشار 2015