Evidence map›Paper›PMID 22144904›Full record

ArticlePLoS genetics2011

Integrating genome-wide genetic variations and monocyte expression data reveals trans-regulated gene modules in humans.

Maxime Rotival, Tanja Zeller, Philipp S Wild, Seraya Maouche, Silke Szymczak, Arne Schillert, Raphaele Castagné, Arne Deiseroth, Carole Proust, Jessy Brocheton and 26 more

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 82 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
82citing papers in PubMed, 2 pooled it
7.4field-weighted citation impact, top 2% 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

82 citing papers in PubMed, 2 syntheses or guidelines pooled it, 152 citations in OpenAlex.

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22 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

36 authors at 8 institutions in 4 countries.

Maxime RotivalINSERM UMRS 937, Pierre and Marie Curie University (UPMC, Paris 6) and Medical School, Paris, France.
Tanja Zeller
Philipp S Wild
Seraya Maouche
Silke Szymczak
Arne Schillert
Raphaele Castagné
Arne Deiseroth
Carole Proust
Jessy Brocheton
Tiphaine Godefroy
Claire Perret
Marine Germain
Medea Eleftheriadis
Christoph R Sinning
Renate B Schnabel
Edith Lubos
Karl J Lackner
Heidi Rossmann
Thomas Münzel
Augusto Rendon
Cardiogenics Consortium
Jeanette Erdmann
Panos Deloukas
Christian Hengstenberg
Patrick Diemert
Gilles Montalescot
Willem H Ouwehand
Nilesh J Samani
Heribert Schunkert
David-Alexandre Tregouet
Andreas Ziegler
Alison H Goodall
François Cambien
Laurence Tiret
Stefan Blankenberg
Inserm · FRJohannes Gutenberg University Mainz · DENational Health Service · GBUniversity of Leicester · GBUniversity of Lübeck · DEWellcome Sanger Institute · GBUniversität Hamburg · DEUniversity Hospital Regensburg · DE

Funding

British Heart Foundation RG/09/012/28096Medical Research Council MC_U105260799
6 · The paper itself

Abstract

One major expectation from the transcriptome in humans is to characterize the biological basis of associations identified by genome-wide association studies. So far, few cis expression quantitative trait loci (eQTLs) have been reliably related to disease susceptibility. Trans-regulating mechanisms may play a more prominent role in disease susceptibility. We analyzed 12,808 genes detected in at least 5% of circulating monocyte samples from a population-based sample of 1,490 European unrelated subjects. We applied a method of extraction of expression patterns-independent component analysis-to identify sets of co-regulated genes. These patterns were then related to 675,350 SNPs to identify major trans-acting regulators. We detected three genomic regions significantly associated with co-regulated gene modules. Association of these loci with multiple expression traits was replicated in Cardiogenics, an independent study in which expression profiles of monocytes were available in 758 subjects. The locus 12q13 (lead SNP rs11171739), previously identified as a type 1 diabetes locus, was associated with a pattern including two cis eQTLs, RPS26 and SUOX, and 5 trans eQTLs, one of which (MADCAM1) is a potential candidate for mediating T1D susceptibility. The locus 12q24 (lead SNP rs653178), which has demonstrated extensive disease pleiotropy, including type 1 diabetes, hypertension, and celiac disease, was associated to a pattern strongly correlating to blood pressure level. The strongest trans eQTL in this pattern was CRIP1, a known marker of cellular proliferation in cancer. The locus 12q15 (lead SNP rs11177644) was associated with a pattern driven by two cis eQTLs, LYZ and YEATS4, and including 34 trans eQTLs, several of them tumor-related genes. This study shows that a method exploiting the structure of co-expressions among genes can help identify genomic regions involved in trans regulation of sets of genes and can provide clues for understanding the mechanisms linking genome-wide association loci to disease.

Indexed as

Adaptor Proteins, Signal TransducingAdultAgedCeliac DiseaseDiabetes Mellitus, Type 1FemaleGene Expression ProfilingGene Expression RegulationGenetic Predisposition to DiseaseGenetic VariationGenome, HumanGenome-Wide Association StudyHumansHypertensionIntracellular Signaling Peptides and ProteinsMaleAdaptor Proteins, Signal TransducingIntracellular Signaling Peptides and Proteinslysozyme C, humanMuramidaseProteinsRibosomal ProteinsRPS26 protein, humanSH2B3 protein, humanTranscription FactorsYEATS4 protein, human

Identifiers

PMID22144904
PMCPMC3228821
OpenAlexW2124655419

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.