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Open Access Research article

Combinations of newly confirmed Glioma-Associated loci link regions on chromosomes 1 and 9 to increased disease risk

Tun-Hsiang Yang1, Mark Kon12, Jui-Hung Hung1 and Charles DeLisi13*

Author Affiliations

1 Bioinformatics Program, Boston University, 24 Cummington Street, Boston, MA 02215, USA

2 Department of Mathematics and Statistics, Boston University, 111 Cummington Street, Boston, MA 02215, USA

3 Department of Biomedical Engineering, 44 Cummington Street, Boston University, Boston, MA 02215 USA

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BMC Medical Genomics 2011, 4:63  doi:10.1186/1755-8794-4-63

Published: 9 August 2011

Additional files

Additional file 1:

Table S1. We divided the glioma samples from TCGA into 2 independent samples (P1 and P2), conducting a GWA analysis on each using the same i-control population. If the use of a single control created bias, we'd expect overlapping results. In fact the results are quite different.

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Additional file 2:

Table S2. The top 406 SNPs reported by Wrensch et al, (2009) with their AGS pvalues (P1), TCGA pvalues (P2), and Stoufer's combined pvalues(P12).

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Additional file 3:

Table S3. Pairwise and triplet SNP combinations with odds ratios greater than 3. Combinations of 12 Confirmed Glioma associated SNPs.

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Additional file 4:

Table S4. KEGG pathways with SNPs (p < 0.001) from both AGS and TCGA studies. Boldface denotes pathways with significant genes that are common to both populations.

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