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Lymphotoxin-α and galectin-2 SNPs are not associated with myocardial infarction in two different German populations

Kamil Sedlacek, Katharina Neureuther, Jakob C. Mueller, Klaus Stark, Marcus Fischer, Andrea Baessler, Wibke Reinhard, Ulrich Broeckel, Wolfgang Lieb, Jeanette Erdmann, Heribert Schunkert, Günter Riegger, Thomas Illig, Thomas Meitinger, Christian Hengstenberg*

*Corresponding author for this work

Abstract

Recent data provided strong evidence for the association of single nucleotide polymorphisms (SNPs) in the lymphotoxin-α (LTA) and galectin-2 (LGALS2) genes with myocardial infarction (MI) in a Japanese population. For populations of other genetic background, the relevance of these polymorphisms in the pathogenesis of MI remains controversial. We aimed to define the role of LTA and LGALS2 SNPs in two German MI populations with markedly different ascertainment strategies. Two different MI populations were studied. In the first population, MI patients were ascertained by a strong family history of MI (n=1214). Controls were unrelated disease-free participants of the study (n=1080). The second population included patients suffering from sporadic (nonfamilial) MI from the German KORA register (n=607). The control group consisted of participants of the WHO MONICA survey in Germany (n=1492). TaqMan assays were used to determine the genotypes of 4 SNPs in the LTA genomic region and 1 SNP in the LGALS2 gene. Single SNPs in both genomic regions as well as haplotypes in the LTA genomic region were tested for association in various models of inheritance. No association with MI could be found for any of the examined SNPs in the LTA genomic region and LGALS2 gene, or for haplotypes spanning the LTA genomic region. In two MI populations of European descent with markedly different ascertainment strategies, we were not able to identify a significant association of SNPs in the LTA genomic region or the LGALS2 gene with MI. These variants are unlikely to play a significant role in populations of European origin.

Original languageEnglish
JournalJournal of Molecular Medicine
Volume85
Issue number9
Pages (from-to)997-1004
Number of pages8
ISSN0946-2716
DOIs
Publication statusPublished - 01.09.2007

Funding

CHRISTIAN HENGSTENBERG he received his M.D. from the University of Würzburg. After 2 years of clinical training, he received a research fellowship grant and spent 2 years at Ketty Schwartz’s lab at the INSERM in Paris, France. On his return, he pursued his clinical training in internal medicine and cardiology. He is currently Professor of Car diology at the Regensburg Uni versity School of Medicine. His research interests include genetics of cardiovascular diseases. Acknowledgment We appreciate the invaluable contribution of participants of the German MI Family Study, KORA Register and WHO MONICA Survey. We gratefully acknowledge the excellent technical assistance of Martina Köhler, Josef Simon, and Michaela Vöstner. This study was supported by the Deutsche Forschungsgemeinschaft (He1921/ 9-1, Schu672/14-1), the National Genome Network (01GS0418 to Drs Schunkert, Erdmann, and Hengstenberg), The Ernst-and Berta-Grimmke-Stiftung (Drs. Hengstenberg and Schunkert), the Wilhelm-Vaillant-Stiftung (Drs. Hengstenberg, Schunkert), the Deutsche Stiftung für Herzforschung (Drs. Hengstenberg and Schunkert). The KORA group consists of H.E. Wichmann (speaker), H. Löwel, C. Meisinger, T. Illig, R. Holle, J. John and their coworkers who are responsible for the design and conduct of the KORA studies. The MONICA Augsburg Study was initiated and conducted by Ulrich Keil and coworkers. The KORA research platform (KORA: Cooperative Research in the Region of Augsburg) and the MONICA Augsburg studies (Monitoring trends and determinants on cardiovascular diseases) were initiated and financed by the GSF-National Research Centre for Environment and Health, which is funded by the German Federal Ministry of Education, Science, Research and Technology and by the State of Bavaria.

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
  2. SDG 5 - Gender Equality
    SDG 5 Gender Equality

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