2011
DOI: 10.4172/2161-1165.1000101
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Matching on Race and Ethnicity in Case-Control Studies as a Means of Control for Population Stratification

Abstract: Some investigators argue that controlling for self-reported race or ethnicity, either in statistical analysis or in study design, is sufficient to mitigate unwanted influence from population stratification. In this report, we evaluated the effectiveness of a study design involving matching on self-reported ethnicity and race in minimizing bias due to population stratification within an ethnically admixed population in California. We estimated individual genetic ancestry using structured association methods and… Show more

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Cited by 9 publications
(18 citation statements)
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“…In addition, the extent of genetic admixture was assessed using a series of 80 ancestry informative markers for a subset of the cases and controls included in this study. 48 Estimates of genetic ancestry (percent of European, Amerindian, and African ancestry) were determined with these ancestry informative markers, and comparison of these estimates between cases and controls showed no significant differences (data not shown). 48 Potential selection biases resulting in systematic differences between cases and controls should be considered.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…In addition, the extent of genetic admixture was assessed using a series of 80 ancestry informative markers for a subset of the cases and controls included in this study. 48 Estimates of genetic ancestry (percent of European, Amerindian, and African ancestry) were determined with these ancestry informative markers, and comparison of these estimates between cases and controls showed no significant differences (data not shown). 48 Potential selection biases resulting in systematic differences between cases and controls should be considered.…”
Section: Discussionmentioning
confidence: 99%
“…48 Estimates of genetic ancestry (percent of European, Amerindian, and African ancestry) were determined with these ancestry informative markers, and comparison of these estimates between cases and controls showed no significant differences (data not shown). 48 Potential selection biases resulting in systematic differences between cases and controls should be considered. In the NCCLS, population-based controls are selected from the statewide birth registry among all children born within the study region.…”
Section: Discussionmentioning
confidence: 99%
“…We have previously demonstrated the validity of self-reported ethnicity as a measure of genetic ancestry in CCLS (24). …”
Section: Methodsmentioning
confidence: 99%
“…However, the effect is likely to be minimal in the CCLS due to the careful matching of race and ethnicity obtained from the subjects (52). Further, we used a principal components analysis (PCA) to successfully reduce the effects of potential population stratification (genomic control factor λ = 1.02) ( Supplementary Fig.…”
Section: Discussionmentioning
confidence: 99%