14 research outputs found

    The density plot the Pearson's correlation coefficients between serum and plasma in TARC cohort.

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    <p>We used Mclust (model-based clustering algorithm <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0028092#pone.0028092-Fraley1" target="_blank">[21]</a>) package in R to fit the data and discovered two clusters in the correlation coefficients: one (red) corresponding to low correlation and the other (blue) corresponding to high correlation. The threshold value that separated these two clusters most effectively is 0.75. The black line is the density plot of all biomarkers. The dots represent the correlation coefficients of the biomarkers and the color indicates the cluster membership.</p

    Diagnostic accuracy of the serum-plasma algorithm.

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    <p>Note: AUC = area under the receiver operating characteristic curve; SN = sensitivity; SP = specificity; CI = confidence interval; demographic = age, gender, education, <i>APOE*E4</i> status (presence/absence); clinical = glucose, triglycerides, total cholesterol, homocysteine.</p

    Case Control results.

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    <p>Panel A; GWAS Manhattan plot for Case Control status. Panel B; QQ plots for the association results for TARCC (left) and ADNI (right). Panel C; LocusZoom plot for the chromosome 19 signal from the meta-analysis. Panels D and E; LocusZoom plots for the chromosome 19 signal in TARCC and ADNI, respectively.</p

    Genome-wide significant signals for each endophenotype.

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    <p>P-values, chromosomal and gene location are presented for each signal from the meta-analyses (Meta) and from the individual (ADNI) and (TARCC) cohorts. P-values are also shown for the association between each endophenotypic signal and age of onset (AOO) and case-control status (CC).</p
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