HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Journal articles

Exploring candidate Genes for Human Brain Diseases Based on a Brain-specific Gene Network

Abstract : It is believed that large numbers of genes are involved in common human brain diseases. Here, we propose a novel computational strategy for simultaneously identifying multiple candidate genes for genetic human brain diseases from a brain-specific gene network-level perspective. By integrating diverse genomic and proteomic datasets based on Bayesian statistical model, we built a large-scale human brain-specific gene network. Based on this network and minor prior knowledge of a specific brain disease, we can effectively identify multiple candidate genes for this disease. When four known Alzheimer's disease genes were used as the prior knowledge, among the top 46 high-scoring genes that we have found, 37 were previously reported to be associated with Alzheimer's disease. And the higher score a gene has, the more likely this gene is a disease-related one. The results suggest that the proposed method is effective, convenient, and applicable in the future genetic studies.
Document type :
Journal articles
Complete list of metadata

Contributor : Chine Publications Liama Connect in order to contact the contributor
Submitted on : Friday, January 5, 2007 - 12:57:13 PM
Last modification on : Saturday, October 9, 2021 - 4:06:41 AM

Links full text




Bing Liu, Tianzi Jiang, Songde Ma, Huizhi Zhao, Jun Li, et al.. Exploring candidate Genes for Human Brain Diseases Based on a Brain-specific Gene Network. Biochemical and Biophysical Research Communications, Elsevier, 2006, Biochemical and Biophysical Research Communications, 349 (4), pp.1308-1314. ⟨10.1016/j.bbrc.2006.08.168⟩. ⟨inria-00122880⟩



Record views