14 research outputs found
Contributing studies and sample characteristics.
<p>Contributing studies and sample characteristics.</p
Global meta-analysis results with p≤0.001.
<p>EA - effect allele; EAF - effect allele frequency; SE - standard error; P - p-value; I<sup>2</sup>- measure of heterogeneity; N - total number of samples.</p
Study design. Each step includes non-overlapping, independent datasets.
<p>Study design. Each step includes non-overlapping, independent datasets.</p
Global meta-analysis results for the rs9939609 <i>FTO</i> SNP.
<p>EA - effect allele; EAF - effect allele frequency; SE - standard error; P - p-value; I<sup>2</sup>- measure of heterogeneity; N - total number of samples.</p
Manhattan and QQ plots based on meta-analyses results of the discovery panel: a) combined set - age adjusted, b) combined set - age and BMI adjusted.
<p>Manhattan and QQ plots based on meta-analyses results of the discovery panel: a) combined set - age adjusted, b) combined set - age and BMI adjusted.</p
Sample details.
1<p>All data were analysed using Illumina SNP arrays. 300 refers to the Illumina HumanHap 300 panel, 370 to the Illumina HumanHap 370 Duo/Quad panels, 610 to the Illumina Human 610 Quad panel and 670 to the Illumina Human 670 Quad panel. In order to harmonise the data, the analysis was conducted using only those SNPs present in the HumanHap 300 panel.</p>2<p>Population-based studies.</p>3<p>Population-based studies in isolated populations.</p>4<p>Birth cohort studies.</p>5<p>Case control studies.</p
Forest plot of the effect of F<sub>ROHLD</sub> on height.
<p>Results of a meta-analysis of the association between F<sub>ROHLD</sub> and height are shown for twenty-one population samples. The model was adjusted for age and sex in all samples. Additionally, it was adjusted for genomic kinship in samples with pairs of related individuals (CROATIA-Korčula, CROATIA-Split, CROATIA-Vis, ERF, FINRISK, HBCS, H2000, INGI-CARL, INGI-FVG, INGI-VB, MICROS, NFBC1966, NSPHS, ORCADES and YFS). The plot shows estimated effect sizes (solid squares) for each population, with 95% confidence intervals (horizontal lines). Each sample estimate is weighted by the inverse of the squared standard error of the regression coefficient, so that the smaller the standard error of the study, the greater the contribution it makes to the pooled regression coefficient. The area of the solid squares is proportional to the weighting given to each study in the meta-analysis. Effect sizes in z-score units (with 95% confidence intervals) are: CROATIA-Korčula = −0.02 (−0.09, 0.04); CROATIA-Split = −0.06 (−0.1, −0.002); CROATIA-Vis = −0.07 (−0.1, −0.01); EGCUT = −0.09 (−0.04, 0.2); ERF = −0.08 (−0.1, −0.05); FINRISK = −0.1 (−0.2, −0.07); HBCS = −0.04 (−0.2, 0.1); H2000 = −0.2 (−0.5, 0.04); INGI-CARL = 0.02 (−0.03, 0.07); INGI-FVG = −0.0001 (−0.08, 0.08); INGI-VB = 0.005 (−0.03, 0.04); LBC1921 = −0.1 (−0.3, 0.04); LBC1936 = 0.2 (−0.1, 0.4); MICROS = −0.06 (−0.08, −0.05); NFBC1966 = −0.1 (−0.2, −0.1); NSPHS = −0.07 (−0.07, −0.06); ORCADES = −0.04 (−0.08, 0.001); QIMR = −0.07 (−0.5, 0.3); RS = −0.02 (−0.1, 0.08); SOCCS = −0.05 (−0.4, 0.3); YFS = −0.3 (−1.2, 0.7).</p