Expected distribution of p-values in a typical (A) Manhattan plot, (B) cumulative p-value distribution, and (C) Q–Q plot. Circles in (B) and (C) denote where the median p-value (red line) falls on the graph in comparison to the expected median p-value (yellow line). Here, the median falls close to 0.5, suggesting that population structure is not affecting association results or has been corrected for in the model. Q–Q, quantile–quantile.</p
Motivation: Although population-based association mapping may be subject to the bias caused by popul...
<p>Quantile-quantile plot from association with MCHC, where the red line shows the expected distribu...
<p>Subpanels (A) and (B) contain contour plots showing the proportion of heritability explained () b...
Observed distribution in a (A) Manhattan plot, (B) cumulative p-value distribution, and (C) Q–Q plot...
(A) The SNP and the phenotype are independent under the null hypothesis () and correlated under the ...
A genome-wide association study (GWAS) seeks to identify genetic variants that contribute to the dev...
A genome-wide association study (GWAS) seeks to identify genetic variants that contribute to the dev...
(A) The conventional GWAS test applied to mouse body weight phenotypes produces numerous false posit...
(A) The conventional GWAS test applied to mouse liver weight phenotypes produces numerous false posi...
We review the problem of confounding in genetic association studies, which arises principally becaus...
<p>The different curves correspond to different approaches for correcting for population structure (...
<div><p>(A) Results from Structure under different assumptions about the number of clusters (<i>K</i...
Assessments of population genetic structure have become an increasing focus as they can provide valu...
Case-control studies of genetic factors are prone to a special form of confounding called population...
<p>For each linear mixed model (LMM), the QQ plots show no evidence of population stratification rel...
Motivation: Although population-based association mapping may be subject to the bias caused by popul...
<p>Quantile-quantile plot from association with MCHC, where the red line shows the expected distribu...
<p>Subpanels (A) and (B) contain contour plots showing the proportion of heritability explained () b...
Observed distribution in a (A) Manhattan plot, (B) cumulative p-value distribution, and (C) Q–Q plot...
(A) The SNP and the phenotype are independent under the null hypothesis () and correlated under the ...
A genome-wide association study (GWAS) seeks to identify genetic variants that contribute to the dev...
A genome-wide association study (GWAS) seeks to identify genetic variants that contribute to the dev...
(A) The conventional GWAS test applied to mouse body weight phenotypes produces numerous false posit...
(A) The conventional GWAS test applied to mouse liver weight phenotypes produces numerous false posi...
We review the problem of confounding in genetic association studies, which arises principally becaus...
<p>The different curves correspond to different approaches for correcting for population structure (...
<div><p>(A) Results from Structure under different assumptions about the number of clusters (<i>K</i...
Assessments of population genetic structure have become an increasing focus as they can provide valu...
Case-control studies of genetic factors are prone to a special form of confounding called population...
<p>For each linear mixed model (LMM), the QQ plots show no evidence of population stratification rel...
Motivation: Although population-based association mapping may be subject to the bias caused by popul...
<p>Quantile-quantile plot from association with MCHC, where the red line shows the expected distribu...
<p>Subpanels (A) and (B) contain contour plots showing the proportion of heritability explained () b...