Evidence map›Paper›PMID 24740359›Full record

ArticlePloS one2014

Mapping the genetic architecture of gene regulation in whole blood.

Katharina Schramm, Carola Marzi, Claudia Schurmann, Maren Carstensen, Eva Reinmaa, Reiner Biffar, Gertrud Eckstein, Christian Gieger, Hans-Jörgen Grabe, Georg Homuth and 19 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 3 pooled it
3.7field-weighted citation impact, top 7% 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

23 citing papers in PubMed, 3 syntheses or guidelines pooled it, 35 citations in OpenAlex.

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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

29 authors at 10 institutions in 3 countries.

Katharina SchrammInstitute of Human Genetics, Helmholtz Center Munich, German Research Center for Environmental Health, Neuherberg, Germany; Institute of Human Genetics, Technical University Munich, München, Germany.
Carola MarziResearch Unit of Molecular Epidemiology, Helmholtz Center Munich, German Research Center for Environmental Health, Neuherberg, Germany; Institute of Epidemiology II, Helmholtz Center Munich, German Research Center for Environmental Health, Neuherberg, Germany; German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany.
Claudia SchurmannInterfaculty Institute for Genetics and Functional Genomics, Department of Functional Genomics, University Medicine Greifswald, Greifswald, Germany.
Maren CarstensenInstitute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany; German Center for Diabetes Research (DZD e.V.), partner site Düsseldorf, Germany.
Eva ReinmaaInstitute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia; Estonian Genome Center, University of Tartu, Tartu, Estonia.
Reiner BiffarDepartment of Prosthetic Dentistry, Gerostomatology and Dental Materials, University Medicine Greifswald, Greifswald, Germany.
Gertrud EcksteinInstitute of Human Genetics, Helmholtz Center Munich, German Research Center for Environmental Health, Neuherberg, Germany.
Christian GiegerInstitute of Genetic Epidemiology, Helmholtz Center Munich, German Research Center for Environmental Health, Neuherberg, Germany.
Hans-Jörgen GrabeDepartment of Psychiatry and Psychotherapy, Helios Hospital Stralsund, University Medicine of Greifswald, Greifswald, Germany.
Georg HomuthInterfaculty Institute for Genetics and Functional Genomics, Department of Functional Genomics, University Medicine Greifswald, Greifswald, Germany.
Gabriele KastenmüllerInstitute of Bioinformatics and Systems Biology, Helmholtz Center Munich, German Research Center for Environmental Health, Neuherberg, Germany.
Reedik MägiEstonian Genome Center, University of Tartu, Tartu, Estonia.
Andres MetspaluInstitute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia; Estonian Genome Center, University of Tartu, Tartu, Estonia.
Evelin MihailovEstonian Genome Center, University of Tartu, Tartu, Estonia; Estonian Biocentre, Tartu, Estonia.
Annette PetersInstitute of Human Genetics, Technical University Munich, München, Germany.
Astrid PetersmannInstitute of Clinical Chemistry and Laboratory Medicine, Greifswald, Germany.
Michael RodenInstitute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany; German Center for Diabetes Research (DZD e.V.), partner site Düsseldorf, Germany; Division of Endocrinology and Diabetology, University Hospital Düsseldorf, Düsseldorf, Germany.
Konstantin StrauchInstitute of Genetic Epidemiology, Helmholtz Center Munich, German Research Center for Environmental Health, Neuherberg, Germany; Institute of Medical Informatics, Biometry and Epidemiology, Ludwig-Maximilians-Universität Munich, Neuherberg, Germany.
Karsten SuhreInstitute of Bioinformatics and Systems Biology, Helmholtz Center Munich, German Research Center for Environmental Health, Neuherberg, Germany; Department of Physiology and Biophysics, Weill Cornell Medical College in Qatar, Education City, Qatar Foundation, Doha, Qatar.
Alexander TeumerInterfaculty Institute for Genetics and Functional Genomics, Department of Functional Genomics, University Medicine Greifswald, Greifswald, Germany.
Uwe VölkerInterfaculty Institute for Genetics and Functional Genomics, Department of Functional Genomics, University Medicine Greifswald, Greifswald, Germany.
Henry VölzkeInstitute for Community Medicine, University Medicine Greifswald, Greifswald, Germany.
Rui Wang-SattlerResearch Unit of Molecular Epidemiology, Helmholtz Center Munich, German Research Center for Environmental Health, Neuherberg, Germany; Institute of Epidemiology II, Helmholtz Center Munich, German Research Center for Environmental Health, Neuherberg, Germany.
Melanie WaldenbergerResearch Unit of Molecular Epidemiology, Helmholtz Center Munich, German Research Center for Environmental Health, Neuherberg, Germany; Institute of Epidemiology II, Helmholtz Center Munich, German Research Center for Environmental Health, Neuherberg, Germany.
Thomas MeitingerInstitute of Human Genetics, Helmholtz Center Munich, German Research Center for Environmental Health, Neuherberg, Germany; Institute of Human Genetics, Technical University Munich, München, Germany; Munich Heart Alliance, München, Germany.
Thomas IlligHannover Unified Biobank, Hannover Medical School, Hannover, Germany.
Christian HerderInstitute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany; German Center for Diabetes Research (DZD e.V.), partner site Düsseldorf, Germany.
Harald GrallertResearch Unit of Molecular Epidemiology, Helmholtz Center Munich, German Research Center for Environmental Health, Neuherberg, Germany; Institute of Epidemiology II, Helmholtz Center Munich, German Research Center for Environmental Health, Neuherberg, Germany; German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany.
Holger ProkischInstitute of Human Genetics, Helmholtz Center Munich, German Research Center for Environmental Health, Neuherberg, Germany; Institute of Human Genetics, Technical University Munich, München, Germany.
Universitätsmedizin Greifswald · DEHelmholtz Zentrum München · DEDeutsches Diabetes-Zentrum e.V. · DEUniversity of Tartu · EEGerman Center for Diabetes Research · DEBavarian Research Alliance · DEEstonian Biocentre · EEInstitute of Bioinformatics and Systems Biology · DEMedizinische Hochschule Hannover · DEWeill Cornell Medical College in Qatar · QA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe aimed to assess whether whole blood expression quantitative trait loci (eQTLs) with effects in cis and trans are robust and can be used to identify regulatory pathways affecting disease susceptibility. MATERIALS AND

methodsWe performed whole-genome eQTL analyses in 890 participants of the KORA F4 study and in two independent replication samples (SHIP-TREND, N = 976 and EGCUT, N = 842) using linear regression models and Bonferroni correction.

resultsIn the KORA F4 study, 4,116 cis-eQTLs (defined as SNP-probe pairs where the SNP is located within a 500 kb window around the transcription unit) and 94 trans-eQTLs reached genome-wide significance and overall 91% (92% of cis-, 84% of trans-eQTLs) were confirmed in at least one of the two replication studies. Different study designs including distinct laboratory reagents (PAXgene™ vs. Tempus™ tubes) did not affect reproducibility (separate overall replication overlap: 78% and 82%). Immune response pathways were enriched in cis- and trans-eQTLs and significant cis-eQTLs were partly coexistent in other tissues (cross-tissue similarity 40-70%). Furthermore, four chromosomal regions displayed simultaneous impact on multiple gene expression levels in trans, and 746 eQTL-SNPs have been previously reported to have clinical relevance. We demonstrated cross-associations between eQTL-SNPs, gene expression levels in trans, and clinical phenotypes as well as a link between eQTLs and human metabolic traits via modification of gene regulation in cis.

conclusionsOur data suggest that whole blood is a robust tissue for eQTL analysis and may be used both for biomarker studies and to enhance our understanding of molecular mechanisms underlying gene-disease associations.

Indexed as

Gene Expression RegulationBloodChromosome MappingGene Regulatory NetworksGenetic Association StudiesGenetic MarkersHumansLinear ModelsPolymorphism, Single NucleotideQuantitative Trait LociGenetic Markers

Identifiers

PMID24740359
PMCPMC3989189
OpenAlexW2052628795

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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.