Literature DB >> 10786311

Pharmaceutical target discovery using Guilt-by-Association: schizophrenia and Parkinson's disease genes.

M G Walker1, W Volkmuth, T M Klingler.   

Abstract

We wish to identify genes associated with disease. To do so, we look for novel genes whose expression patterns mimic those of known disease-associated genes, a method we call Guilt-by-Association (GBA). GBA uses a combinatoric measure of association that provides superior results to those from correlation measures used in previous expression analyses. Using GBA, we have examined the expression of 40,000 human genes in 522 cDNA libraries, and have identified several hundred genes associated with known cancer, inflammation, steroid-synthesis, insulin-synthesis, neurotransmitter processing, matrix remodeling and other disease genes. The majority of the genes thus discovered show no significant sequence similarity to known genes, and thus could not have been identified by homology searches. We present here an example of the discovery of five genes associated with schizophrenia and Parkinson's disease. Of the 40,000 most-abundant human genes, these five genes are the most closely linked to the known disease genes, and thus are prime targets for pharmaceutical intervention.

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Mesh:

Year:  1999        PMID: 10786311

Source DB:  PubMed          Journal:  Proc Int Conf Intell Syst Mol Biol        ISSN: 1553-0833


  3 in total

1.  GBA server: EST-based digital gene expression profiling.

Authors:  Xin Wu; Michael G Walker; Jingchu Luo; Liping Wei
Journal:  Nucleic Acids Res       Date:  2005-07-01       Impact factor: 16.971

2.  GeneFriends: an online co-expression analysis tool to identify novel gene targets for aging and complex diseases.

Authors:  Sipko van Dam; Rui Cordeiro; Thomas Craig; Jesse van Dam; Shona H Wood; João Pedro de Magalhães
Journal:  BMC Genomics       Date:  2012-10-06       Impact factor: 3.969

3.  Inferring mouse gene functions from genomic-scale data using a combined functional network/classification strategy.

Authors:  Wan Kyu Kim; Chase Krumpelman; Edward M Marcotte
Journal:  Genome Biol       Date:  2008-06-27       Impact factor: 13.583

  3 in total

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