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

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

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

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

Baseline characteristics of cohort studies included in the meta-analysis^*.

<p><i>Definition of abbreviations</i>: ARIC  =  Atherosclerosis Risk in Communities; B58C  =  British 1958 Birth Cohort; BHS  =  Busselton Health Study; CARDIA  =  Coronary Artery Risk Development in Young Adults; CHS  =  Cardiovascular Health Study  =  FHS, Framingham Heart Study; Health ABC  =  Health, Aging, and Body Composition; KORA  =  Cooperative Health Research in the Region of Augsburg; LBC1921  =  Lothian Birth Cohort 1921; LBC1936  =  Lothian Birth Cohort 1936; PIVUS  =  Prospective Investigation of the Vasculature in Uppsala Seniors; RS  =  Rotterdam Study; SAPALDIA  =  Swiss Study on Air Pollution and Lung Diseases in Adults; SD  =  standard deviation; SHIP  =  Study of Health in Pomerania.</p><p>^*Data are presented as mean (SD) unless otherwise indicated; total no. participants  =  27,249, total no. FEV₁ measurements  =  62,130.</p>†<p>Pack-years are calculated among current and former smokers at study baseline.</p

Association of the chromosome 11 locus with the rate of change in FEV₁ in the meta-analysis of the five cohort studies with ≥3 FEV₁ measurements per participant.

<p><b>A</b>) Regional association plot, where the X-axis is Megabase (Mb) position, and the Y-axes are the negative log of the <i>P</i> value on the left and recombination rate on the right. The sentinel SNP is colored in purple and linkage disequilibrium to the sentinel SNP is depicted by degree of color according to the legend. <b>B</b>) Forest plot for rs507211, where the size of the square for each study represents its contributing weight to the meta-analysis.</p

Association of the most statistically significant SNPs with the rate of change in FEV₁ (mL/year) in the meta-analysis of 14 cohort studies (n = 27,249)^*.

<p><i>Definition of abbreviations</i>: Chr  =  chromosome; SE  =  standard error; SNP  =  single-nucleotide polymorphism.</p><p>^*Data reported are the meta-analysis results of the SNP-by-time interaction term from the GWAS mixed effects model. A positive β-coefficient indicates an attenuation of FEV₁ decline and a negative β-coefficient an acceleration of FEV₁ decline.</p

Association of the most statistically significant SNPs with the rate of change in FEV₁ (mL/year) in the meta-analysis of the five cohort studies with ≥3 FEV₁ measurements per participant (n = 10,476).

<p><i>Definition of abbreviations</i>: Chr  =  chromosome; SE  =  standard error; SNP  =  single-nucleotide polymorphism.</p><p>^*Data reported are the meta-analysis results of the SNP-by-time interaction term from the GWAS mixed effects model. A positive β-coefficient indicates an attenuation of FEV₁ decline and a negative β-coefficient an acceleration of FEV₁ decline.</p