Additional file 1 of Hypersensitive C-reactive protein as a potential indicator for predicting left ventricular hypertrophy in elderly community-dwelling patients with hypertension

Supplementary Material

Evaluation of specificity and sensitivity for this method <i>in silico</i>.

<p>This figure shows the correlation between CNV size (x-axis) and specificity and sensitivity (y-axis) of this method. The color-code lines represent the sensitivity (red) and specificity (blue), respectively.</p

Comparison between our method and SegSeq.

*<p>CNVs larger than 1 Mb in test samples were used to calculate the sensitivity and specificity.</p

The distribution between RRN and Sequencing GC content before and after GC correction.

<p>The distribution of relative reads number (RRN, y-axis) and the corrected relative reads number (CRN, y-axis) were exposed as boxplot maps respectively with their sequencing GC content (x-axis).</p

Sequencing data statistics.

<p>Sequencing data statistics.</p

Performance of this method for test samples.

<p>This circular map shows the performance of our method on five single-cell samples with CNVs and aneuploidies. The outermost circle depicts the bands of chromosomes 1, 2, 5, 11, 12, 13, 21. The inner circles represent the samples SC1, SC2, SC3, SC4, and SC5. The color-coded dots represent the distribution of CRN, of which green and red show duplication and deletion, respectively. The dark grey lines show the CNVs after segmentation.</p

Comparison between this method and SegSeq for test samples.

<p>The figure below shows a comparison of our method's performance of CNVs identification and that of SegSeq's. Figure A shows the karyotype of chromosome 20 in single-cell sample SC 6 and figure B shows the karyotype of part of chromosome 1 in single-cell sample SC 7. The karyotypes were produced by our CNV identification method (left), SegSeq (middle), and WGS (right). The color red, green, dark gray and light gray represent deletion, duplication, N regions on the genome, and normal regions, respectively.</p

Detected results of different methods for test single-cell samples.

<p>CNVs larger than 1 Mb in test samples were showed in this table.</p

The comprehensive pipeline.

<p>This figure shows the structure of the method in this study for CNVs identification, composed of a sequencing reads alignment, GC bias correction, a binary segmentation algorithm and dynamic threshold determination for signals filtering.</p

Schematics view of insulin regulation.

<p>Elevated glucose level by either food intake or liver glycogenolysis is sensed by islet and leads to insulin secretion to the bloodstream. The increased insulin stimulates peripheral tissues to absorb glucose, and as a consequence, the glucose level in the plasma would return to normal level. Since a loop is formed regarding insulin regulation, it is necessary for us to consider both casual and reactive genes to insulin.</p