7 research outputs found
Additional file 2 of Genotype-driven identification of a molecular network predictive of advanced coronary calcium in ClinSeqÂŽ and Framingham Heart Study cohorts
This pdf file provides information about the genotype data from ClinSeqÂŽ; and FHS cohorts, rationale behind random forest and neural network implementation for modeling advanced CAC, and mouse and rat model-based associations between the predictive network genes and cardiovascular disease processes and risk factors. (PDF 165 kb
Additional file 1 of Genotype-driven identification of a molecular network predictive of advanced coronary calcium in ClinSeqÂŽ and Framingham Heart Study cohorts
Supplementary Tables. This pdf file includes supplementary tables referred to in the main text. (PDF 184 kb
Summary of genes in the NAD metabolism pathways used for pathway-based analysis of multi-study bladder cancer GWAS.
1<p>Number of SNPs genotyped in the gene region (20 kb 5′ upstream and 10 kb 3′ downstream from the gene's coding region).</p>2<p>The SNP representing the gene in the pathway analysis after the removal of SNPs with heterogeneous effects.</p>3<p>The rank of the SNP among all SNPs in the gene's region based on their p-values.</p>4<p>Minor allele frequency among controls.</p>5<p>Per allele odds ratios +95% confidence intervals from logistic regression models adjusting for age, sex, study center, DNA source , and smoking.</p>6<p>1 d.f. trend test.</p
Summary of genes in the Clathrin-mediated vesicle pathways used for pathway-based analysis of multi-study bladder cancer GWAS.
1<p>Number of SNPs genotyped in the gene region (20 kb 5′ upstream and 10 kb 3′ downstream from the gene's coding region).</p>2<p>The SNP representing the gene in the pathway analysis after the removal of SNPs with heterogeneous effects.</p>3<p>The rank of the SNP among all SNPs in the gene's region based on their p-values.</p>4<p>Minor allele frequency among controls.</p>5<p>Per allele odds ratios +95% confidence intervals from logistic regression models adjusting for age, sex, study center, DNA source, and smoking.</p>6<p>1 d.f. trend test.</p
Summary of genes in the aromatic amine metabolism pathway used for pathway-based analysis of multi-study bladder cancer GWAS.
1<p>Number of SNPs genotyped in the gene region (20 kb 5′ upstream and 10 kb 3′ downstream from the gene's coding region).</p>2<p>The SNP representing the gene in the pathway analysis after the removal of SNPs with heterogeneous effects.</p>3<p>The rank of the SNP among all SNPs in the gene's region based on their p-values.</p>4<p>Minor allele frequency among controls.</p>5<p>Per allele odds ratios +95% confidence intervals from logistic regression models adjusting for age, sex, study center, DNA source , and smoking.</p>6<p>1 d.f. trend test.</p
Summary of genes in the Mitotic Metaphase/Anaphase Transition pathway used for pathway-based analysis of multi-study bladder cancer GWAS.
1<p>Number of SNPs genotyped in the gene region (20 kb 5′ upstream and 10 kb 3′ downstream from the gene's coding region).</p>2<p>The SNP representing the gene in the pathway analysis after the removal of SNPs with heterogeneous effects.</p>3<p>The rank of the SNP among all SNPs in the gene's region based on their p-values.</p>4<p>Minor allele frequency among controls.</p>5<p>Per allele odds ratios +95% confidence intervals from logistic regression models adjusting for age, sex, study center, DNA source , and smoking.</p>6<p>1 d.f. trend test.</p
Pathways enriched with bladder cancer susceptibility loci at a <i>P</i>≤0.01 level using GSEA and ARTP.
<p>Results of the top ranked pathways (<i>P</i><0.01) using GSEA and ARTP. In parenthesis are results prior of removal SNPs displaying heterogeneous signals.</p>1<p>The number of genes in the pathway.</p>2<p>The number of genes underlying the enrichment signal in the pathway.</p>3<p><i>P</i>-value of the enrichment score based on 10,000 permutations.</p>4<p>False-discovery rate calculated based on the normalized statistics of the permutation data to account for the variable sizes of genes and pathways.</p