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Fig. 9 | BMC Bioinformatics

Fig. 9

From: Learning the optimal scale for GWAS through hierarchical SNP aggregation

Fig. 9

Q-Q plots of group-based genome-wide analysis on WTCCC data using the SASA approach. For each Manhattan plot, the Benjamini-Hochberg (BH) threshold is represented by the green dotted line and the Bonferroni threshold by the red dashed line. (a) Bipolar disorder - 13 significant clusters of SNPs; (b) Coronary arthery disease - 4 significant clusters of SNPs; (c) Inflammatory bowel disease - 356 significant clusters of SNPs; (d) Hypertension - 47 significant clusters of SNPs; (e) Rheumatoid arthritis - 202 significant clusters of SNPs; (f) Type I diabetes - 358 significant clusters of SNPs; (g) Type II diabetes - 28 significant clusters of SNPs

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