Evidence map›Paper›PMID 18326631›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2008

Network properties of genes harboring inherited disease mutations.

Igor Feldman, Andrey Rzhetsky, Dennis Vitkup

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 139 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
139citing papers in PubMed, 2 pooled it
11.3field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

139 citing papers in PubMed, 2 syntheses or guidelines pooled it, 294 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
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  12. Article
  13. Network medicine in Cardiovascular Research.Cardiovascular research · 2021
    Review
  14. Article
  15. Network Analysis Reveals Proteins Associated with Aortic Dilatation in Mucopolysaccharidoses.Interdisciplinary sciences, computational life sciences · 2021
    Article
  16. Article
  17. Review
  18. A Combined Analysis of Genetically Correlated Traits Identifies Genes and Brain Regions for Insomnia.Canadian journal of psychiatry. Revue canadienne de psychiatrie · 2020
    Article
  19. Article
  20. Article

79 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Igor FeldmanDepartment of Biomedical Informatics, Center of Computational Biology and Bioinformatics, Columbia University, New York, NY 10032, USA.
Andrey Rzhetsky
Dennis Vitkup
Columbia University · US

Funding

Computational Annotation of Orphan Metabolic ActivitiesR01GM079759 · NIGMS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI VITKUP, DENNIS · 2007 to 2017
$3.2M
Computer Systems for Functional Analysis of Genomic DataR01GM061372 · NIGMS · UNIVERSITY OF CHICAGO · PI RZHETSKY, ANDREY · 2001 to 2009
$2.8M
NIGMS NIH HHS GM079759NIGMS NIH HHS GM61372NIGMS NIH HHS R01 GM061372NIGMS NIH HHS R01 GM079759
6 · The paper itself

Abstract

By analyzing, in parallel, large literature-derived and high-throughput experimental datasets we investigate genes harboring human inherited disease mutations in the context of molecular interaction networks. Our results demonstrate that network properties influence the likelihood and phenotypic consequences of disease mutations. Genes with intermediate connectivities have the highest probability of harboring germ-line disease mutations, suggesting that disease genes tend to occupy an intermediate niche in terms of their physiological and cellular importance. Our analysis of tissue expression profiles supports this view. We show that disease mutations are less likely to occur in essential genes compared with all human genes. Disease genes display significant functional clustering in the analyzed molecular network. For about one-third of known disorders with two or more associated genes we find physical clusters of genes with the same phenotype. These clusters are likely to represent disorder-specific functional modules and suggest a framework for identifying yet-undiscovered disease genes.

Indexed as

Gene Regulatory NetworksGene Expression RegulationGenetic Predisposition to DiseaseHumansMultigene FamilyMutationPhenotypeProbability

Identifiers

PMID18326631
PMCPMC2393821
OpenAlexW2120051475

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.