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

Jingchun Sun; Jia, Peilin; Fanous, Ayman H.; Webb, Bradley T.; Van den Oord, Edwin J.C.G.; Xiangning Chen; Bukszar, Jozsef; Kendler, Kenneth S.; Zhongming Zhao

Motivation: During the past decade, we have seen an exponential growth of vast amounts of genetic data generated for complex disease studies. Currently, across a variety of complex biological problems, there is a strong trend towards the integration of data from multiple sources. So far, candidate gene prioritization approaches have been designed for specific purposes, by utilizing only some of the available sources of genetic studies, or by using a simple weight scheme. Specifically to psychiatric disorders, there has been no prioritization approach that fully utilizes all major sources of experimental data.

GENETICS; MEDICAL genetics; MENTAL illness; SCHIZOPHRENIA; BIOINFORMATICS; RESEARCH

Bioinformatics, 2009, Vol 25, Issue 19, p2595

1367-4803

Academic Journal

10.1093/bioinformatics/btp428