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Fig. 9 | BMC Bioinformatics

Fig. 9

From: A method combining a random forest-based technique with the modeling of linkage disequilibrium through latent variables, to run multilocus genome-wide association studies

Fig. 9

Venn diagrams for three datasets, describing the SNPs jointly identified in the top 100s by any two or all three methods studied: single-SNP GWAS versus T-Trees, single-SNP GWAS versus hybrid approach, T-Trees versus hybrid approach, and the three methods. (T2D, Chr10) is the dataset observed with the highest number of top 100 SNPs common to the three methods (23), over the 14 datasets. Dataset (BD, Chr03) is one of the three datasets that show the largest number of top 100 SNPs common to single-SNP GWAS and T-Trees (31). The largest number of top 100 SNPs common to Single-SNP GWAS and the hybrid approach (30) is observed for (CD, Chr01). Finally, (T2D, Chr10) is the dataset for which the number of top 100 SNPs common to T-Trees and the hybrid approach is the highest (60)

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BMC Bioinformatics

ISSN: 1471-2105

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