Summary of the differences between HapMap and 1000G imputation for the seven non-overlapping loci.

<p>Summary of the differences between HapMap and 1000G imputation for the seven non-overlapping loci.</p

Regional plots of non-overlapping loci that were more significantly associated with fibrinogen in the 1000G GWA study, including variants from both the HapMap (red) and 1000G (green) GWA studies.

<p>Regional plots of non-overlapping loci that were more significantly associated with fibrinogen in the 1000G GWA study, including variants from both the HapMap (red) and 1000G (green) GWA studies.</p

Regional plot of 6p21.3, a non-overlapping locus that was more significantly associated with fibrinogen in the HapMap GWA study, including variants from both the HapMap (red) and 1000G (green) GWA studies.

<p>Regional plot of 6p21.3, a non-overlapping locus that was more significantly associated with fibrinogen in the HapMap GWA study, including variants from both the HapMap (red) and 1000G (green) GWA studies.</p

Summary of the differences between HapMap and 1000G imputation for the 29 overlapping loci.

<p>Summary of the differences between HapMap and 1000G imputation for the 29 overlapping loci.</p

Overlapping loci that were significant in both the HapMap and 1000G GWA studies.

<p>Overlapping loci that were significant in both the HapMap and 1000G GWA studies.</p

Non-overlapping loci that were significant in either the HapMap or 1000G GWA studies.

<p>Non-overlapping loci that were significant in either the HapMap or 1000G GWA studies.</p

Characteristics at the time of fibrinogen measurement by study.

<p>BMI: body mass index.</p><p><i>* Mean (standard deviation).</i></p><p>Characteristics at the time of fibrinogen measurement by study.</p

Association of environmental factors with fibrinogen concentration (in g/L), adjusted for age and sex.

<p><b>A</b>) Forest plot for smoking status. The beta estimate with 95% confidence intervals indicates the change in mean fibrinogen concentration (in g/L) by smoking status for each study and across all studies (“overall”, estimated by meta-analysis). <b>B</b>) Forest plot for alcohol consumption. The beta estimate with 95% confidence intervals indicates the change in mean fibrinogen concentration (in g/L) by alcohol consumption for each study and across all studies (“overall”, estimated by meta-analysis). Alcohol consumption was assessed only in 20 studies. <b>C</b>) Forest plot for BMI. The beta estimate with 95% confidence intervals indicates the change in mean fibrinogen concentration (in g/L) by BMI for each study and across all studies (“overall”, estimated by meta-analysis).</p

Forest plots of effect sizes within BMI stratum for variants with the two most significant mean effect size differences between BMI stratum.

<p>A. <i>RBMS1</i>-<i>TANK</i> locus and B. <i>TSPYL5</i> locus. The overall inverse—variance-weighted mean effect per BMI stratum is calculated assuming fixed effect across studies and represented by a lozenge, associated P-value displayed as P. Measure of heterogeneity between studies is reported (I-squared) with associated P-value for significance (p). P_diff is the test of difference in mean-effect size P-value. For study abbreviations and references, see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0119752#pone.0119752.s005" target="_blank">S1 Table</a>.</p

Mean effect across BMI strata of allelic substitutions at representative variants displaying genome-wide significant association with SU in at least one BMI stratum and displaying nominally significant difference in effect size across BMI strata.

<p>Effect size is on standardised age-adjusted SU levels. Error bars indicate the standard errors of the mean effect estimates within a BMI category. Horizontal lines indicate nominally significant (p &lt; 0.05) differences in mean effect sizes between BMI categories, ** indicates significance at the 1% level taking into account the multiple comparisons performed. Differences in mean effect sizes between BMI strata were tested pairwise using the classical z-test, and P_diff denotes the 2-sided test corresponding P-value. Lean: BMI &lt; 25 kg/m², overweight: 25 ≤ BMI ≤ 30 kg/m², obese: BMI &gt; 30 kg/m².</p