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Fig. 1 | BMC Bioinformatics

Fig. 1

From: SCOPA and META-SCOPA: software for the analysis and aggregation of genome-wide association studies of multiple correlated phenotypes

Fig. 1

Manhattan plot of META-SCOPA meta-analysis of GWAS of lipid traits and BMI in 1,441 individuals from the Estonian Genome Center, University of Tartu. Each point represents a SNP passing quality control, plotted according to their genomic position (NCBI build GRCh37, UCSC hg19 assembly) on the x-axis and their p-value for multiple phenotype association (on -log10 scale) on the y-axis. Previously reported loci for lipid traits and BMI are highlighted in purple. Names of loci attaining genome-wide significance (p <5x10−8) are reported as the nearest gene to the lead SNP, unless a better biological candidate maps nearby. SNPs attaining genome-wide significant, but not mapping to previously reported loci for lipid traits or BMI, are highlighted in green

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