Evidence map›Paper›PMID 18417725›Full record

ArticleGenome research2008

Genetic-linkage mapping of complex hereditary disorders to a whole-genome molecular-interaction network.

Ivan Iossifov, Tian Zheng, Miron Baron, T Conrad Gilliam, Andrey Rzhetsky

Abstract readComparative Study
In one paragraph

Article in Genome research, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
–field-weighted citation impact
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

37 citing papers in PubMed.

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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

5 authors.

Ivan IossifovDepartment of Biomedical Informatics, Center for Computational Biology and Bioinformatics, Columbia University, New York, New York 10032, USA.
Tian Zheng
Miron Baron
T Conrad Gilliam
Andrey Rzhetsky

Funding

Computer Systems for Functional Analysis of Genomic DataR01GM061372 · NIGMS · UNIVERSITY OF CHICAGO · PI RZHETSKY, ANDREY · 2001 to 2009
$2.8M
New Approach Towards Mapping of Complex Human DisordersR01GM070789 · NIGMS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI LO, SHAW-HWA · 2005 to 2009
$1.1M
NIGMS NIH HHS GM070789NIGMS NIH HHS GM61372NIGMS NIH HHS R01 GM061372NIGMS NIH HHS R01 GM070789
6 · The paper itself

Abstract

Common hereditary neurodevelopmental disorders such as autism, bipolar disorder, and schizophrenia are most likely both genetically multifactorial and heterogeneous. Because of these characteristics traditional methods for genetic analysis fail when applied to such diseases. To address the problem we propose a novel probabilistic framework that combines the standard genetic linkage formalism with whole-genome molecular-interaction data to predict pathways or networks of interacting genes that contribute to common heritable disorders. We apply the model to three large genotype-phenotype data sets, identify a small number of significant candidate genes for autism (24), bipolar disorder (21), and schizophrenia (25), and predict a number of gene targets likely to be shared among the disorders.

Indexed as

Chromosome MappingGenetic LinkageGenome, HumanModels, GeneticAutistic DisorderBipolar DisorderGenetic Diseases, InbornGenetic Predisposition to DiseaseHumansMultifactorial InheritanceMultigene FamilySchizophrenia

Identifiers

PMID18417725
PMCPMC2493404

What OpenQuestion holds

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Registered trials

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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.