Genome-wide prioritization of disease genes and identification of disease-disease associations from an integrated human functional linkage network

doi:10.1186/gb-2009-10-9-r91

Genome Biology

Volume 10
Issue 9

Viewing options:

Abstract
Full text
PDF (676KB)
Additional files

Associated material:

PubMed record

Related literature:

Articles citing this article
on BioMed Central
on Google Scholar
on ISI Web of Science
on PubMed Central
Other articles by authors
on Google Scholar

Linghu B
Snitkin ES
Hu Z
Xia Y
DeLisi C

on PubMed

Linghu B
Snitkin ES
Hu Z
Xia Y
DeLisi C
Related articles/pages
on Google

on Google Scholar

on PubMed

Tools:

Post to:

Method

Genome-wide prioritization of disease genes and identification of disease-disease associations from an integrated human functional linkage network

Bolan Linghu¹ , Evan S Snitkin¹ , Zhenjun Hu¹ , Yu Xia¹^,2 and Charles DeLisi¹

¹Bioinformatics Program, Boston University, 24 Cummington Street, Boston, MA 02215, USA

²Department of Chemistry, Boston University, 590 Commonwealth Avenue, Boston, MA 02215, USA

author email corresponding author email

Genome Biology 2009, 10:R91doi:10.1186/gb-2009-10-9-r91


Published:	3 September 2009

Subject areas: Bioinformatics, Medicine, Methods

Abstract

We integrate 16 genomic features to construct an evidence-weighted functional-linkage network comprising 21,657 human genes. The functional-linkage network is used to prioritize candidate genes for 110 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.