<p>Manhattan plot of the variance explained by windows formed by 200 consecutive SNPs for stayability in Nellore cattle.</p
Manhattan plots showing pairwise, locus-specific FST values between groups for the full SNP dataset....
<p>Manhattan plot of the 2 significant QTL obtained by the linear model in traits length BC (panel A...
<p>Manhattan plot of raw p-values from univariate GWAS analysis adjusting for population stratificat...
<p>Manhattan plot of additive genetic variance explained by windows of 10 adjacent SNPs for flight s...
<p>Manhattan plot of additive genetic variance explained by windows of 150 adjacent SNPs for Marblin...
<p>The y-axis shows the proportion of variance explained by the windows of 150 SNPs and the x-axis i...
<p>Pseudo-phenotypes were based on dEBVs corrected for age (SC<sub>A</sub>) and corrected for age an...
<p>Summary of SNP windows that explained >1% of genetic variance for flight speed (FS) in Nellore ca...
<p>Each dot represents the percent of genetic variance explained by multiple SNPs within a 1 Mb wind...
Proportion of additive genetic variance, explained by 1 Mb windows of adjacent SNPs, for the polled ...
<p>Manhattan plots for the key trait: Udder depth (Holstein and Normande) or development (Montbeliar...
<p>Manhattan plot of single-SNP tests comparing case data (n = 41, one case per multiply affected fa...
Scree plot showing variance explained by each PC of the across-study Spearman correlation matrix of ...
Manhattan plots of–Log10 (p-value) for milk yield (a), fat percentage (b) and fat yield (c).</p
<p>Pseudo-phenotypes were based on dEBVs corrected for age (SC<sub>A</sub>) and corrected for age an...
Manhattan plots showing pairwise, locus-specific FST values between groups for the full SNP dataset....
<p>Manhattan plot of the 2 significant QTL obtained by the linear model in traits length BC (panel A...
<p>Manhattan plot of raw p-values from univariate GWAS analysis adjusting for population stratificat...
<p>Manhattan plot of additive genetic variance explained by windows of 10 adjacent SNPs for flight s...
<p>Manhattan plot of additive genetic variance explained by windows of 150 adjacent SNPs for Marblin...
<p>The y-axis shows the proportion of variance explained by the windows of 150 SNPs and the x-axis i...
<p>Pseudo-phenotypes were based on dEBVs corrected for age (SC<sub>A</sub>) and corrected for age an...
<p>Summary of SNP windows that explained >1% of genetic variance for flight speed (FS) in Nellore ca...
<p>Each dot represents the percent of genetic variance explained by multiple SNPs within a 1 Mb wind...
Proportion of additive genetic variance, explained by 1 Mb windows of adjacent SNPs, for the polled ...
<p>Manhattan plots for the key trait: Udder depth (Holstein and Normande) or development (Montbeliar...
<p>Manhattan plot of single-SNP tests comparing case data (n = 41, one case per multiply affected fa...
Scree plot showing variance explained by each PC of the across-study Spearman correlation matrix of ...
Manhattan plots of–Log10 (p-value) for milk yield (a), fat percentage (b) and fat yield (c).</p
<p>Pseudo-phenotypes were based on dEBVs corrected for age (SC<sub>A</sub>) and corrected for age an...
Manhattan plots showing pairwise, locus-specific FST values between groups for the full SNP dataset....
<p>Manhattan plot of the 2 significant QTL obtained by the linear model in traits length BC (panel A...
<p>Manhattan plot of raw p-values from univariate GWAS analysis adjusting for population stratificat...