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Genome-wide association study identifies ANXA11 as a new susceptibility locus for sarcoidosis

Sylvia Hofmann, Andre Franke, Annegret Fischer, Gunnar Jacobs, Michael Nothnagel, Karoline I. Gaede, Manfred Schürmann, Joachim Müller-Quernheim, Michael Krawczak, Philip Rosenstiel, Stefan Schreiber*

*Corresponding author for this work

Abstract

Sarcoidosis is a complex chronic inflammatory disorder with predominant manifestation in the lung. In the first genome-wide association study (>440,000 SNPs) of this disease, comprising 499 German individuals with sarcoidosis and 490 controls, we detected a series of genetic associations. The strongest association signal maps to the ANXA11 (annexin A11) gene on chromosome 10q22.3. Validation in an independent sample (1,649 cases, 1,832 controls) confirmed the association (SNP rs2789679: P = 3.0 × 10-13, rs7091565: P = 1.0 × 10-5, allele-based test). Extensive fine mapping located the association signal to a region between exon 5 and exon 14 of ANXA11. A common nonsynonymous SNP (rs1049550, T > C, R230C) was found to be strongly associated with sarcoidosis. The GWAS lead SNP and additional risk variants in the region (rs1953600, rs2573346, rs2784773) were in strong linkage disequilibrium with rs1049550. Annexin A11 has complex and essential functions in several biological pathways, including apoptosis and proliferation.

Original languageEnglish
JournalNature Genetics
Volume40
Issue number9
Pages (from-to)1103-1106
Number of pages4
ISSN1061-4036
DOIs
Publication statusPublished - 01.09.2008

Funding

The authors wish to thank all individuals with sarcoidosis, families and physicians for their cooperation. The efforts of the German Sarcoidosis Patients Organization (Deutsche Sarkoidose-Vereinigung) and the contribution of pulmonary specialist physicians are gratefully acknowledged. The authors wish to thank T. Wienker, M. Steffens, M. Albrecht, T. Wesse and C. von der Lanken for expert technical help, R. Kleindorp and G. Richter for logistic help, and R. Vogler for database and computer support. This study was funded by the German National Genome Research Network (NGFN-2).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Research Areas and Centers

  • Research Area: Medical Genetics

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  • EXC 306: Inflammation at Interfaces

    Schreiber, S. (Speaker), Bosch, T. C. G. (Project Staff), Ehlers, S. (Project Staff), Erdmann, J. (Project Staff), Ernst, R. (Project Staff), Franke, A. (Project Staff), Gross, W. (Project Staff), Hilgenfeld, R. (Project Staff), Kabelitz, D. (Project Staff), Köhl, J. (Project Staff), Manz, R. (Project Staff), Nebel, A. (Project Staff), Niemann, S. (Project Staff), Rabe, K. F. (Project Staff), Rimbach, G. (Project Staff), Rose-John, S. (Project Staff), Rosenstiel, P. C. (Project Staff), Saftig, P. (Project Staff), Schaible, U. (Project Staff), Schröder, J.-M. (Project Staff), Schütze, S. (Project Staff), Siebert, R. (Project Staff), Tautz, D. (Project Staff), Weidinger, S. (Project Staff) & Zillikens, D. (Project Staff)

    01.01.0731.12.18

    Project: DFG Joint ResearchCluster of Excellence

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