2019
DOI: 10.1002/gepi.22250
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Effect of population stratification on SNP‐by‐environment interaction

Abstract: Proportions of false-positive rates in genome-wide association analysis are affected by population stratification, and if it is not correctly adjusted, the statistical analysis can produce the large false-negative finding. Therefore various approaches have been proposed to adjust such problems in genomewide association studies. However, in spite of its importance, a few studies have been conducted in genome-wide single nucleotide polymorphism (SNP)-byenvironment interaction studies. In this report, we illustra… Show more

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Cited by 7 publications
(2 citation statements)
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“…All statistical analyses were performed using the R statistical software ver. 3.5 (R Foundation for Statistical Computing, Vienna, Austria), and figures were plotted using the Rex software [ 12 13 ]. P-values of <0.05 were considered statistically significant.…”
Section: Methodsmentioning
confidence: 99%
“…All statistical analyses were performed using the R statistical software ver. 3.5 (R Foundation for Statistical Computing, Vienna, Austria), and figures were plotted using the Rex software [ 12 13 ]. P-values of <0.05 were considered statistically significant.…”
Section: Methodsmentioning
confidence: 99%
“…Population stratification affects the proportion of false positives in genome-wide association analysis. Therefore, corrections are needed to ensure the reliability of the statistical analysis [25][26][27]. Various strategies have been proposed to solve these GWAS-related problems [28,29], and we used three analyses to accurately determine the relationships among the analyzed genotypes.…”
Section: Discussionmentioning
confidence: 99%