A triple combination strategy corrects population stratification bias and saves genotyping cost
Journal
Journal of Clinical Epidemiology
Journal Volume
64
Journal Issue
5
Pages
517-524
Date Issued
2011
Author(s)
Huang H.-Y.
Abstract
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. ? 2011 Elsevier Inc. All rights reserved.
SDGs
Other Subjects
accuracy; base mispairing; control; cost; DNA screening; genome; genotype; human; population based case control study; priority journal; review; stratified sample; study design; systematic error; triple combination strategy
Publisher
Elsevier USA
Type
journal article