8 research outputs found
Region of chromosome 3 examined with genes and 3 SNPs.
<p>A total of 99 polymorphisms were examined in the Ontario samples across a 500kb region of chromosome 3 surrounding the <i>MLH1</i> gene. Genes in this region are outlined (top panel) along with their transcriptional directionality (bottom panel). The three polymorphisms of interest are indicated. Modified from Ensembl (<a href="http://www.ensembl.org" target="_blank">www.ensembl.org</a>).</p
Logistic regression model results for MSI status with various predictor combinations in the combined data.
<p>Age at diagnosis, sex, and location are covariates common to all the models described above. IHC refers to the MLH1 immunohistochemical staining variable, CH3 refers to the <i>MLH1</i> promoter methylation variable, AIC = Akaike's information criterion. Logistic regression models for each SNP per study population and for the combined data are shown in <b>Supplementary <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0013314#pone.0013314.s003" target="_blank">File S3</a></b>.</p><p>The role of three SNPs of interest, rs1800734, rs749072, and rs13098279, is explored.</p
Single marker analysis in the combined data for 3 SNPs for CRC cases versus controls, <i>MLH1</i> promoter methylation, MLH1 IHC staining and MSI tumor status.
<p>Analyses of CRC cases versus controls are adjusted for age, sex, and site.</p><p>OR = odds ratio, CI = confidence interval.</p><p>Single marker results for the above SNPs for each study population are shown in <b>Supplementary <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0013314#pone.0013314.s002" target="_blank">File S2</a></b>.</p
Proposed model for genetic susceptibility to DNA methylation in sporadic MSI-H CRCs.
<p>Specific SNPs predispose the region, including the <i>MLH1</i> gene promoter, to methylation, which results in promoter silencing and loss of <i>MLH1</i> gene expression that is measured by immunohistochemical staining. Loss of the <i>MLH1</i> gene expression leads to genome-wide microsatellite instability and MSI-H colorectal cancer.</p
Association of rs2256787 in the <i>ARHGEF10L</i> gene with invasive endometrioid EOC risk by study site and combined.
<p>Squares represent the estimated per-allele odds ratio (OR) and are proportional to sample size for each study; lines indicate its 95% confidence interval (CI); source indicates contributing study;[<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0197561#pone.0197561.ref011" target="_blank">11</a>] MAF, control minor allele frequency; PVal, per-allele p-value adjusted for age, site, and principal components to account for residual differences in European ancestry.</p
Association of variants in small GTPase genes with epithelial ovarian cancer risk (p-value<10<sup>−4</sup>) and functional annotation.
<p>Association of variants in small GTPase genes with epithelial ovarian cancer risk (p-value<10<sup>−4</sup>) and functional annotation.</p
Top SNPs associated with SER EOC across racial groups.
<p><sup>1</sup> MAF, minor allele and its frequency</p><p><sup>2</sup> p-value <0.05 are in bold</p><p><sup>3</sup> Odds ratio, 95% confidence interval</p><p>Top SNPs associated with SER EOC across racial groups.</p
The most significant SNPs in the transport pathway genes and risk of EOC by histology, invasiveness, and race/ethnicity<sup>1</sup>.
<p><sup>1</sup> INV: all invasive EOC combined; LMP: low malignant potential / borderline tumors; SER: serous; CC: clear cell; End: endometrioid; Muc: mucinous. Statistically significant associations are indicated in bold (P<0.05). Data format is the following: OR (95% CI); p-value; FDR q-value (white-European women). Only significant FDRs (q<0.2) are shown (<i>HEPH</i>: INV and SER<i>; UGT1A</i>: End).</p><p>The most significant SNPs in the transport pathway genes and risk of EOC by histology, invasiveness, and race/ethnicity<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0128106#t001fn001" target="_blank"><sup>1</sup></a>.</p