A multi-dimensional evidence-based candidate gene prioritization approach for complex diseases–schizophrenia as a case

• DOI: 10.1093/bioinformatics/btp428
• Publication Date: 2009-07-15T02:04:52Z
• Authors: Jingchun Sun; Peilin Jia; Ayman H. Fanous; Bradley T. Webb; Edwin J.C.G. van ...; Xiangning Chen; Jozsef Bukszar; Kenneth S. Kendler; Zhongming Zhao
• Keywords: Prioritization

Abstract Motivation: During the past decade, we have seen an exponential growth of vast amounts genetic data generated for complex disease studies. Currently, across a variety biological problems, there is strong trend towards integration from multiple sources. So far, candidate gene prioritization approaches been designed specific purposes, by utilizing only some available sources studies, or using simple weight scheme. Specifically to psychiatric disorders, has no approach that fully utilizes all major experimental data. Results: Here present multi-dimensional evidence-based diseases and demonstrate it in schizophrenia. In this approach, first collect curate studies schizophrenia four categories: association linkage analyses, expression literature search. Genes these sets are initially scored category-specific scoring methods. Then, optimal matrix searched two-step procedure (core genes unbiased P-values independent genome-wide studies). Finally, prioritized their combined scores matrix. Our evaluation suggests generates promising further analysis replication. The can be applied other diseases. Availability: collected data, genes, tools freely at http://bioinfo.mc.vanderbilt.edu/SZGR/. Contact: [e-mail] Supplementary information: Bioinformatics online.