Number of SNPs used for association testing in each gene.

<p>Number of SNPs used for association testing in each gene.</p

Regional plot of the association results in the <i>TAS2R43</i> gene.

<p>Triangles represent non-synonymous SNPs whereas squares represent synonymous SNPs.. The colors represent the LD between the SNPs and rs71443637 with respect to the 1000 Genomes CEU population. The violet point is the index SNP which the LD refers to. The plot was created with the LocusZoom software <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0092065#pone.0092065-Pruim1" target="_blank">[40]</a>.</p

Association results between coffee liking and the two non-synonymous SNPs.

<p>beta represents the coefficient of the linear regression with respect to the wild type allele W for rs68157013 and H for rs71443637 <i>p</i> is the p-value of the association analysis. All populations show concordant effect directions except for INGI-FVG which shows no apparent effect of the alleles on coffee liking.</p

Forest plot of the normalized effect for the various populations for rs71443637.

<p>Points represent the effect estimates and bars indicate is the 95% confidence interval. The diamond represents the pooled effect. For each population <i>p</i>-values are also shown. INGI-FVG clearly shows no effect of the SNP on coffee liking.</p

Additional file 1: of A combined linkage, microarray and exome analysis suggests MAP3K11 as a candidate gene for left ventricular hypertrophy

Table S1. Coding variants under the linkage peaks for LVH proxy measurements. Table S2. Selected damaging variants in the coding regions contained in the linkage regions. Table S3. SKAT and burden tests for genes of interest. Table S4. Results of linkage analyses before (LOD1) and after (LOD2) regression on GWAS SNPs under the linkage peaks. Table S5. Descriptive statistics of the Rotterdam study population. Table S6. Replications results in the Rotterdam Study. Figure S1. Venn diagram showing the overlap between the different ERF genotyping experiments. Figure S2. Pedigrees segregating rs138968470. (DOCX 119 kb

Additional file 7: of Blood lipids influence DNA methylation in circulating cells

The HDL-C PS is nominally associated with confounder neutrophil counts. (CSV 202 bytes

Additional file 9: of Blood lipids influence DNA methylation in circulating cells

Comparison between EWAS and MR estimates (with 95 % confidence intervals). (PDF 109 kb

Additional file 7: of Age-related accrual of methylomic variability is linked to fundamental ageing mechanisms

a Correlation between DNA methylation and gene expression of PcG complex proteins. b Overlap between genes associated in cis and in trans with the transcriptome clock [37]. (TIF 531 kb

Estimated dosage of maternally- and paternally-derived minor allele indicators for heterozygous (Aa) mothers-offspring pairs.

<p>Estimated dosage of maternally- and paternally-derived minor allele indicators for heterozygous (Aa) mothers-offspring pairs.</p

Bioinformatic annotation for the <i>APOB</i> locus.

<p>Bioinformatic annotation was undertaken for rs1367117, located within the 4th exon of the <i>APOB</i> gene, using the Epigenome Browser (<a href="http://epigenomegateway.wustl.edu/" target="_blank">http://epigenomegateway.wustl.edu/</a>). <i>APOB</i> gene is shown in the blue track and the focal SNP with a vertical bar. Level of DNA methylation (whole genome bisulfite sequencing, or WGBS), histone marks indicative of promoters (H3K4me3) and enhancers (H3K4me1), and expression levels (RNA-seq) were plotted in three relevant tissues: liver, adipose, and small intestine.</p