Additional file 1: of Associations of single nucleotide polymorphisms with mucinous colorectal cancer: genome-wide common variant and gene-based rare variant analyses

Table S1. Top ten most significant common SNPs identified based on the univariable analyses and the subsequent multivariable analyses under the additive genetic models. Table S2. Top ten most significant common SNPs identified based on the univariable analyses and the subsequent multivariable analysis under the dominant genetic models. Table S3. Top ten most significant common SNPs identified based on the univariable analyses and the subsequent multivariable analyses under the recessive genetic models. Table S4. Top ten most significant common SNPs identified under the univariable analyses and the subsequent multivariable analyses under the co-dominant genetic models. Table S5. Baseline characteristics selected through a stepwise variable selection method under the multivariable model. Table S6. AIC estimates under the multivariable models of common SNPs identified in the univariable analysis. Table S7. Haploreg results for the top 10 SNPs in the common variant analysis. Table S8. Proteins which have reported evidence of binding to the genomic region in which kgp10457679 resides (extracted from RegulomeDB). (PDF 360 kb

Epidemiological approach to assess risk factors and current distortion incidence on distribution networks

A methodology based on epidemiological analysis for assessing risk factors and harmonic distortion incidence rate in a distribution network is proposed in this paper. The methodology analyzes the current harmonics emission risk at the PCC due to the connection of disturbing loads. These loads are modeled and multiple loads connection scenarios are simulated using Monte Carlo Algorithms. From the simulation results, potential risk factors for critical harmonics indicators are identified, leading to a classification of the scenarios into groups of exposed or unexposed to risk factors. Finally, the incidence rate of harmonics is calculated for each load connection scenario and the risk of critical harmonics scenarios due to the exposure to risk factors is estimated

Associations between <i>BRM</i> promoter indels and colon cancer risk.

<p>Associations between <i>BRM</i> promoter indels and colon cancer risk.</p

Kaplan-Meier curves for the <i>BRM</i>-741 indel under the co-dominant genetic model in the colorectal cancer cases.

<p>P value of the log-rank test is 0.017.</p

<i>BRM</i> promoter indels and progression-free survival in colorectal cancer.

<p><i>BRM</i> promoter indels and progression-free survival in colorectal cancer.</p

Additional file 2: of Mitochondrial DNA polymorphisms, its copy number change and outcome in colorectal cancer

Table S2. Results of the univariate analyses for the clinicopathological features (SNP genotyped cohort)

Distribution of baseline characteristics of the study cohorts.

<p>Distribution of baseline characteristics of the study cohorts.</p

<i>BRM</i> promoter indels and colorectal cancer risk.

<p><i>BRM</i> promoter indels and colorectal cancer risk.</p

Serotonin Transporter Gene (<em>SLC6A4</em>) Variations Are Associated with Poor Survival in Colorectal Cancer Patients

<div><p>Prognosis in colorectal cancer patients is quite variable, even after adjustment for clinical parameters such as disease stage and microsatellite instability status. It is possible that the psychological distress experienced by patients, including anxiety and depression, may be correlated with poor prognosis. In the present study, we hypothesize that genetic variations within three genes biologically linked to the stress response, namely serotonin transporter (<em>SLC6A4</em>), brain-derived neurotrophic factor (<em>BDNF</em>), and arginine vasopressin receptor (<em>AVPR1B</em>) genes are associated with prognosis in colorectal cancer patients. We used a population-based cohort of 280 patients who were followed for up to 12.5 years after diagnosis. Our multivariate analysis showed that a tagSNP in the <em>SLC6A4</em> gene (rs12150214) was a predictor of shorter overall survival (HR: 1.572, 95%CI: 1.142–2.164, p = 0.005) independent of stage, age, grade and MSI status. Additionally, a multivariate analysis using the combined genotypes of three polymorphisms in this gene demonstrated that the presence of any of the minor alleles at these polymorphic loci was an independent predictor of both shorter overall survival (HR: 1.631, 95%CI: 1.190–2.236, p = 0.002) and shorter disease specific survival (HR: 1.691, 95%CI: 1.138–2.512, p = 0.009). The 5-HTT protein coded by the <em>SLC6A4</em> gene has also been implicated in inflammation. While our results remain to be replicated in other patient cohorts, we suggest that the genetic variations in the <em>SLC6A4</em> gene contribute to poor survival in colorectal cancer patients.</p> </div

Kaplan-Meier survival curves for patients grouped based on the <i>SLC6A4</i>-rs12150214 genotype data.

<p><b>a)</b> OS (p = 0.030, log-rank test), <b>b)</b> DFS (p = 0.225, log-rank test), and <b>c)</b> DSS (p = 0.159, log-rank test). Time is shown in years.</p