Cited by 283Diabetes and associated disordersGenetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

A trans-acting locus regulates an anti-viral expression network and type 1 diabetes risk

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Cardiogenics Consortium, Heinig, Matthias, Petretto, Enrico, Wallace, Chris, Bottolo, Leonardo, Rotival, Maxime, Lu, Han, Li, Yoyo +37 more·2010·Nature

Abstract

Combined analyses of gene networks and DNA sequence variation can provide new insights into the aetiology of common diseases that may not be apparent from genome-wide association studies alone. Recent advances in rat genomics are facilitating systems-genetics approaches. Here we report the use of integrated genome-wide approaches across seven rat tissues to identify gene networks and the loci underlying their regulation. We defined an interferon regulatory factor 7 (IRF7)-driven inflammatory network (IDIN) enriched for viral response genes, which represents a molecular biomarker for macrophages and which was regulated in multiple tissues by a locus on rat chromosome 15q25. We show that Epstein-Barr virus induced gene 2 (Ebi2, also known as Gpr183), which lies at this locus and controls B lymphocyte migration, is expressed in macrophages and regulates the IDIN. The human orthologous locus on chromosome 13q32 controlled the human equivalent of the IDIN, which was conserved in monocytes. IDIN genes were more likely to associate with susceptibility to type 1 diabetes (T1D)-a macrophage-associated autoimmune disease-than randomly selected immune response genes (P = 8.85 × 10(-6)). The human locus controlling the IDIN was associated with the risk of T1D at single nucleotide polymorphism rs9585056 (P = 7.0 × 10(-10); odds ratio, 1.15), which was one of five single nucleotide polymorphisms in this region associated with EBI2 (GPR183) expression. These data implicate IRF7 network genes and their regulatory locus in the pathogenesis of T1D.

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  • Integration of genetic information with network modeling has been used to highlight pathways that contribute to disease and to identify key drivers in biologic processes.

    “Such integration of genetic information with network modeling has been used to highlight pathways that contribute to disease and to identify “key drivers” in biologic processes [72–74, 78].”

    From Multi-omics approaches to disease (2017) · cites this paper as [78]

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Authors
Cardiogenics Consortium, Heinig, M., Petretto, E., Wallace, C., Bottolo, L., Rotival, M., Lu, H., Li, Y., Sarwar, R., Langley, S. R., Bauerfeind, A., Hummel, O., Lee, Y.-A., Paskas, S., Rintisch, C., Saar, K., Cooper, J., Buchan, R., Gray, E. E., Cyster, J. G., Erdmann, J., Hengstenberg, C., Maouche, S., Ouwehand, W. H., Rice, C. M., Samani, N. J., Schunkert, H., Goodall, A. H., Schulz, H., Roider, H. G., Vingron, M., Blankenberg, S., Münzel, T., Zeller, T., Szymczak, S., Ziegler, A., Tiret, L., Smyth, D. J., Pravenec, M., Aitman, T. J., Cambien, F., Clayton, D., Todd, J. A., Hubner, N., & Cook, S. A.
Affiliations
  • Max Delbrück Center (DE)
  • Hammersmith Hospital (GB)
  • University of Cambridge (GB)
  • Inserm (FR)
  • Howard Hughes Medical Institute (US)
  • University of Lübeck (DE)
  • University of Regensburg (DE)
  • National Health Service (GB)
  • Wellcome Sanger Institute (GB)
  • University of Leicester (GB)
  • Max Planck Institute for Molecular Genetics (DE)
  • Johannes Gutenberg University Mainz (DE)
  • University Hospital Schleswig-Holstein (DE)
  • Czech Academy of Sciences (CZ)
Corresponding author
Cook, Stuart A.
Venue
Nature
Published
2010-09
Volume
467
Issue
7314
Pages
460-464
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
OpenAlex
W2166903146
Cited by
283
References
30
Citations by year
2026: 2 · 2025: 4 · 2024: 9 · 2023: 8 · 2022: 9 · 2021: 23 · 2020: 8 · 2019: 16 · 2018: 13 · 2017: 20 · 2016: 20 · 2015: 22 · 2014: 27 · 2013: 26 · 2012: 38
FWCI
18.19
Type
journal article
Language
en
Open access
Locations
  • Nature (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
  • University of Regensburg Publication Server (University of Regensburg) (acceptedVersion)
  • MPG.PuRe (Max Planck Society) (submittedVersion, other-oa)
  • National University of Singapore (submittedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • ASEP (submittedVersion, public-domain)
  • MDC Repository (Max-Delbrueck-Center for Molecular Medicine) (submittedVersion)
  • Max Planck Institute for Plasma Physics (submittedVersion)
  • ORCA Online Research @Cardiff (Cardiff University) (submittedVersion)
  • Research Portal (King's College London) (submittedVersion)
  • Leicester Research Archive (University of Leicester) (submittedVersion)
  • Site cant be reached (submittedVersion)
  • Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, other-oa)
Funders
  • Juvenile Diabetes Research Foundation International
  • Wellcome Trust (FP7/2007–2013, 061858, 089989, 076113)
  • University Hospitals of Leicester NHS Trust
  • National Institute for Health and Care Research (FP7/2007–2013, NF-SI-0508-10275)
  • British Heart Foundation (P301/10/0290)
  • Research Councils UK
  • Imperial College London
  • European Commission (2007–2013, LSHG-CT-2005-019015, FP7 2007-2013, LSHM-CT 2006–037593, FP7/2007, 241504)
  • Fondation Leducq
  • Grantová Agentura České Republiky (1M6837805002)
  • Medical Research Council
  • National Institute of Diabetes and Digestive and Kidney Diseases
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Diabetes and associated disorders
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
Keywords
type 1 diabetes, IRF7, EBI2, GPR183, macrophages, Epstein-Barr virus, monocytes, gene co-expression network, autoimmune disease susceptibility, systems genetics
MeSH terms
Animals, Base Sequence, Chromosomes, Human, Pair 13, Diabetes Mellitus, Type 1, Humans, Immunity, Innate, Inflammation, Macrophages, Organ Specificity, Viruses, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide, Chromosomes, Mammalian, Quantitative Trait Loci, Receptors, G-Protein-Coupled, Interferon Regulatory Factor-7, Rats, Gene Regulatory Networks, Genome-Wide Association Study, Genetic Loci

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