Evidence map›Paper›PMID 21249183›Full record

ArticlePLoS genetics2011

Proteins encoded in genomic regions associated with immune-mediated disease physically interact and suggest underlying biology.

Elizabeth J Rossin, Kasper Lage, Soumya Raychaudhuri, Ramnik J Xavier, Diana Tatar, Yair Benita, International Inflammatory Bowel Disease Genetics Constortium, Chris Cotsapas, Mark J Daly

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 304 papers, 15 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
304citing papers in PubMed, 15 pooled it
35.2field-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

304 citing papers in PubMed, 15 syntheses or guidelines pooled it, 463 citations in OpenAlex.

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  7. Network-Based Integration of GWAS and Gene Expression Identifies a HOX-Centric Network Associated with Serous Ovarian Cancer Risk.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2015
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  20. Joint analysis ofNAR genomics and bioinformatics · 2025
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244 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

9 authors at 2 institutions in 2 countries.

Elizabeth J RossinCenter for Human Genetics Research, Massachusetts General Hospital, Boston, Massachusetts, United States of America.
Kasper Lage
Soumya Raychaudhuri
Ramnik J Xavier
Diana Tatar
Yair Benita
International Inflammatory Bowel Disease Genetics Constortium
Chris Cotsapas
Mark J Daly
Broad Institute · USMassachusetts General Hospital · US

Funding

Medical Scientist Training ProgramT32GM007753 · NIGMS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI WALENSKY, LOREN DAVID · 1985 to 2021
$50.0M
Pilot & Feasibility ProgramP30DK043351 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI RAYMOND T CHUNG · 1991 to 2026
$35.3M
ROLE OF DIETARY CONSTITUENTS ON GENE EXPRESSION IN INTESTINAL EPITHELIUMP30DK040561 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI CHRISTOPHER P DUGGAN · 1994 to 2026
$31.6M
Using polygenic scores to enhance both variant discovery, and understanding of functional consequences of genetic variation in IBD.P01DK046763 · NIDDK · CEDARS-SINAI MEDICAL CENTER · PI TARGAN, STEPHAN R. · 1992 to 2020
$31.1M
Identification of the IBD genes on chromosomes 3p and 6pR01DK064869 · NIDDK · WHITEHEAD INSTITUTE FOR BIOMEDICAL RES · PI RIOUX, JOHN D. · 2003 to 2016
$7.8M
Gene Mutation and Rescue in Human Diaphragmatic HerniaR01HD055150 · NICHD · MASSACHUSETTS GENERAL HOSPITAL · PI DONAHOE, PATRICIA K · 2006 to 2010
$5.5M
Systems Biology of Crohn's DiseaseR01DK083756 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI DALY, MARK JOSEPH, XAVIER, RAMNIK J · 2008 to 2011
$1.5M
Genetics, Genes, and Pathways in Inflammatory Bowel Disease (IBD)RC1DK086502 · NIDDK · BROAD INSTITUTE, INC. · PI DALY, MARK JOSEPH, XAVIER, RAMNIK J · 2009 to 2010
$998k
Bioinformatics and Population Genetics to Identify Rheumatoid Arthritis GenesK08AR055688 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI RAYCHAUDHURI, SOUMYA · 2008 to 2012
$724k
Chief Scientist Office CZB/4/540Chief Scientist Office ETM/75Medical Research Council G0600329Medical Research Council G0800675Medical Research Council G0800759NIAMS NIH HHS K08 AR055688NICHD NIH HHS R01 HD055150NICHD NIH HHS R01 HD055150-03NIDDK NIH HHS DK083756NIDDK NIH HHS DK086502NIDDK NIH HHS P01 DK046763NIDDK NIH HHS P30 DK040561NIDDK NIH HHS P30 DK043351NIDDK NIH HHS R01 DK064869NIDDK NIH HHS R01 DK083756NIDDK NIH HHS RC1 DK086502NIGMS NIH HHS T32 GM007753Wellcome Trust
6 · The paper itself

Abstract

Genome-wide association studies (GWAS) have defined over 150 genomic regions unequivocally containing variation predisposing to immune-mediated disease. Inferring disease biology from these observations, however, hinges on our ability to discover the molecular processes being perturbed by these risk variants. It has previously been observed that different genes harboring causal mutations for the same Mendelian disease often physically interact. We sought to evaluate the degree to which this is true of genes within strongly associated loci in complex disease. Using sets of loci defined in rheumatoid arthritis (RA) and Crohn's disease (CD) GWAS, we build protein-protein interaction (PPI) networks for genes within associated loci and find abundant physical interactions between protein products of associated genes. We apply multiple permutation approaches to show that these networks are more densely connected than chance expectation. To confirm biological relevance, we show that the components of the networks tend to be expressed in similar tissues relevant to the phenotypes in question, suggesting the network indicates common underlying processes perturbed by risk loci. Furthermore, we show that the RA and CD networks have predictive power by demonstrating that proteins in these networks, not encoded in the confirmed list of disease associated loci, are significantly enriched for association to the phenotypes in question in extended GWAS analysis. Finally, we test our method in 3 non-immune traits to assess its applicability to complex traits in general. We find that genes in loci associated to height and lipid levels assemble into significantly connected networks but did not detect excess connectivity among Type 2 Diabetes (T2D) loci beyond chance. Taken together, our results constitute evidence that, for many of the complex diseases studied here, common genetic associations implicate regions encoding proteins that physically interact in a preferential manner, in line with observations in Mendelian disease.

Indexed as

GenomeArthritis, RheumatoidCrohn DiseaseDiabetes Mellitus, Type 2Gene Regulatory NetworksGenetic LociGenome-Wide Association StudyHumans

Identifiers

PMID21249183
PMCPMC3020935
OpenAlexW2081038787

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.