Genetic Association Studies: a Triple Combination Strategy of Stratum Matching, Genomic Controlling and Multiple DNA Pooling
Date Issued
2014
Date
2014
Author(s)
Huang, Hsiao-Yuan
Abstract
Backgrounds. The case-control association study has gained in popularity for mapping disease-susceptibility gene(s) of complex human diseases. However, the study is prone to population stratification bias. The high cost of typing genetic markers is also a problem.
Methods. The authors propose a triple combination strategy of stratum matching, genomic controlling and multiple DNA pooling to deal with the pervasive problem of population stratification bias in population-based case-control association studies, and to save genotyping cost.
Results. Monte-Carlo simulations show that the type I error rates are well controlled using this strategy under all scenarios and for large and small number of pooling sets. As for power, for large and small number of pooling sets it increases in the following situations: a) a more accurate stratum matching; b) a larger number of null markers for genomic control: c) a larger number of DNA pooling sets; and d) a more accurate DNA pooling measurement.
Conclusions. The proposed triple combination strategy corrects population stratification bias and saves genotyping cost.
Subjects
相關性研究
病例對照研究
流行病學方法學
遺傳流行病學
族群分層偏差
不平衡檢定
SDGs
Type
thesis
File(s)![Thumbnail Image]()
Loading...
Name
ntu-103-D95842005-1.pdf
Size
23.32 KB
Format
Adobe PDF
Checksum
(MD5):f186d954d8e22187a6103fdfd8a66715