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Open Access Research article

A towards-multidimensional screening approach to predict candidate genes of rheumatoid arthritis based on SNP, structural and functional annotations

Liangcai Zhang, Wan Li, Leilei Song and Lina Chen*

Author Affiliations

Department of Biophysics, College of Bioinformatics Science and Technology; Harbin Medical University; Harbin, Hei Longjiang Province, China

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BMC Medical Genomics 2010, 3:38  doi:10.1186/1755-8794-3-38

Published: 20 August 2010

Additional files

Additional file 1:

known disease genes collected from the OMIM database and NCBI database.

Format: XLS Size: 2.3MB Download file

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Additional file 2:

candidate genes with their corresponding risk SNPs predicted by our proposed method and biological evidences between genes and rheumatoid arthritis.

Format: XLS Size: 1.5MB Download file

This file can be viewed with: Microsoft Excel Viewer

Open Data

Additional file 3:

the KEGG functional enrichment of candidate genes predicted by our proposed method.

Format: XLS Size: 53KB Download file

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Open Data

Additional file 4:

the KEGG functional enrichment of known disease genes.

Format: XLS Size: 72KB Download file

This file can be viewed with: Microsoft Excel Viewer

Open Data

Additional file 5:

candidate genes with their corresponding risk SNPs out of GWAS and their corresponding risk SNPs and biological evidences between genes and rheumatoid arthritis.

Format: XLS Size: 426KB Download file

This file can be viewed with: Microsoft Excel Viewer

Open Data

Additional file 6:

the KEGG functional enrichment of candidate genes out of GWAS.

Format: XLS Size: 71KB Download file

This file can be viewed with: Microsoft Excel Viewer

Open Data