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Updated: Jun 6, 2026

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
Published on: June 21, 2018
A triple combination strategy corrects population stratification bias and saves genotyping cost
Hsiao-Yuan Huang1, Wen-Chung Lee
1Research Center for Genes, Environment and Human Health, and Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei 100, Taiwan.
Objective:
The case-control association study has gained popularity for mapping disease-susceptibility gene(s) of complex human diseases. However, the study is prone to population stratification bias.
Study Design And Setting:
The authors proposed a triple combination strategy of stratum matching, genomic control, and multiple DNA pooling for population-based case-control association studies. Monte Carlo simulation showed that the type I error rates are well controlled using this strategy.
Results:
As for power, it increases under the following situations: (1) more accurate stratum matching, (2) more null markers for genomic control, (3) more DNA pooling sets, and (4) more accurate DNA pooling measurement.
Conclusion:
The triple combination strategy corrects population stratification bias and saves genotyping cost.
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