Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Wertheim cung cấp cho các bạn kiến thức về ngành y đề tài: Genome-wide prioritization of disease genes and identification of disease-disease associations from an integrated human functional linkage network. | Open Access Genome-wide prioritization of disease genes and identification of disease-disease associations from an integrated human functional linkage network Bolan Linghu Evan S Snitkin Zhenjun Hu Yu Xia and Charles DeLisi Addresses Bioinformatics Program Boston University 24 Cummington Street Boston MA 02215 USA. Department of Chemistry Boston University 590 Commonwealth Avenue Boston MA 02215 USA. Correspondence Charles DeLisi. Email delisi@ Published 3 September 2009 Genome Biology 2009 10 R91 doi gb-2009- l0-9-r9l The electronic version of this article is the complete one and can be found online at http 2009 l0 9 R9l Received 2 May 2009 Revised 9 July 2009 Accepted 3 September 2009 2009 Linghu et al. licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract We integrate 16 genomic features to construct an evidence-weighted functional-linkage network comprising 2l 657 human genes. The functional-linkage network is used to prioritize candidate genes for ll0 diseases and to reliably disclose hidden associations between disease pairs having dissimilar phenotypes such as hypercholesterolemia and Alzheimer s disease. Many of these disease-disease associations are supported by epidemiology but with no previous genetic basis. Such associations can drive novel hypotheses on molecular mechanisms of diseases and therapies. Background Recently a number of computational approaches have been developed to predict or prioritize candidate disease genes 134 . Most approaches are based on the idea that genes associated with the same or related disease phenotypes tend to participate in common functional modules such as protein complexes metabolic pathways developmental or organogenesis processes and so on .
