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

Jingchun Sun | Zendy; Peilin Jia | Zendy; Ayman H. Fanous | Zendy; Bradley T. Webb | Zendy; Edwin J. C. G. van den Oord | Zendy; Xiangning Chen | Zendy; József Bukszár | Zendy; Kenneth S. Kendler | Zendy; Zhongming Zhao | Zendy

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

Author(s) -

Jingchun Sun,

Peilin Jia,

Ayman H. Fanous,

Bradley T. Webb,

Edwin J. C. G. van den Oord,

Xiangning Chen,

József Bukszár,

Kenneth S. Kendler,

Zhongming Zhao

Publication year - 2009

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btp428

Subject(s) - prioritization , schizophrenia (object oriented programming) , computer science , computational biology , biology , business , programming language , process management

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.

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