Walking the interactome for prioritization of candidate disease genes.

Abstract:

:The identification of genes associated with hereditary disorders has contributed to improving medical care and to a better understanding of gene functions, interactions, and pathways. However, there are well over 1500 Mendelian disorders whose molecular basis remains unknown. At present, methods such as linkage analysis can identify the chromosomal region in which unknown disease genes are located, but the regions could contain up to hundreds of candidate genes. In this work, we present a method for prioritization of candidate genes by use of a global network distance measure, random walk analysis, for definition of similarities in protein-protein interaction networks. We tested our method on 110 disease-gene families with a total of 783 genes and achieved an area under the ROC curve of up to 98% on simulated linkage intervals of 100 genes surrounding the disease gene, significantly outperforming previous methods based on local distance measures. Our results not only provide an improved tool for positional-cloning projects but also add weight to the assumption that phenotypically similar diseases are associated with disturbances of subnetworks within the larger protein interactome that extend beyond the disease proteins themselves.

journal_name

Am J Hum Genet

authors

Köhler S,Bauer S,Horn D,Robinson PN

doi

10.1016/j.ajhg.2008.02.013

subject

Has Abstract

pub_date

2008-04-01 00:00:00

pages

949-58

issue

4

eissn

0002-9297

issn

1537-6605

pii

S0002-9297(08)00172-9

journal_volume

82

pub_type

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