26 research outputs found
Parent Emotion Categories and Actual vs. Expected Utility Groupings.
<p>Parent Emotion Categories and Actual vs. Expected Utility Groupings.</p
Quantitative and case-control association result of top SNPs in UGT1A1 for total serum bilirubin levels in pediatric and adult subgroups.
<p>*Map Position: NCBI build 37.</p><p>†linear regression association test.</p><p>‡Chi-square test.</p><p>Quantitative and case-control association result of top SNPs in UGT1A1 for total serum bilirubin levels in pediatric and adult subgroups.</p
(A and B) Manhattan plot and Q–Q plot of genome-wide markers for total serum bilirubin in 3294 European samples respectively.
<p>(A and B) Manhattan plot and Q–Q plot of genome-wide markers for total serum bilirubin in 3294 European samples respectively.</p
(A) The association signal between total serum ALP and the ABO blood locus. (B): The association of lead SNPs at the ABO locus with serum ALP and their relation with ABO tag SNPs (rs8176746, rs8176704, rs505922); A significant drop in association effect in lead SNPs after controlling for ABO-tag SNPs are shown (red and black dots represent before and after conditional analyses respectively).
<p>(A) The association signal between total serum ALP and the ABO blood locus. (B): The association of lead SNPs at the ABO locus with serum ALP and their relation with ABO tag SNPs (rs8176746, rs8176704, rs505922); A significant drop in association effect in lead SNPs after controlling for ABO-tag SNPs are shown (red and black dots represent before and after conditional analyses respectively).</p
A GWAS Study on Liver Function Test Using eMERGE Network Participants - Table 4
<p>A GWAS Study on Liver Function Test Using eMERGE Network Participants - Table 4 </p
The LD structure between markers in peak association signals.
<p>r2 = correlation coefficient as a measure of linkage disequilibrium.</p
A schematic representation of association map at UGT1A region for total serum bilirubin.
<p>The TA repeat location is shown with vertical line.</p
Cluster analysis of the 55 genes used in the prediction model (ASD55).
<p>The dendrogram and heatmap on top show hierarchical clustering (average linkage) of the 99 samples in the training set (P1) and the 55 genes used in our prediction model. The first 2 lines in the graph on bottom indicate whether each sample is from the patient group or the control group. Finally, the bottom line shows the distribution of Fisher's linear discriminant scores (dots) based on ASD55 with moving average (line). The distributions of linear discriminant scores are shown on the right (blue solid line for controls and black broken line for patients). ASD cases and controls are well separated using linear discriminant analysis on the ASD55 genes.</p