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A Genome-Wide Association Study of Circulating Galectin-3

Overview of attention for article published in PLOS ONE, October 2012
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Title
A Genome-Wide Association Study of Circulating Galectin-3
Published in
PLOS ONE, October 2012
DOI 10.1371/journal.pone.0047385
Pubmed ID
Authors

Rudolf A. de Boer, Niek Verweij, Dirk J. van Veldhuisen, Harm-Jan Westra, Stephan J. L. Bakker, Ron T. Gansevoort, Anneke C. Muller Kobold, Wiek H. van Gilst, Lude Franke, Irene Mateo Leach, Pim van der Harst

Abstract

Galectin-3 is a lectin involved in fibrosis, inflammation and proliferation. Increased circulating levels of galectin-3 have been associated with various diseases, including cancer, immunological disorders, and cardiovascular disease. To enhance our knowledge on galectin-3 biology we performed the first genome-wide association study (GWAS) using the Illumina HumanCytoSNP-12 array imputed with the HapMap 2 CEU panel on plasma galectin-3 levels in 3,776 subjects and follow-up genotyping in an additional 3,516 subjects. We identified 2 genome wide significant loci associated with plasma galectin-3 levels. One locus harbours the LGALS3 gene (rs2274273; P = 2.35 × 10(-188)) and the other locus the ABO gene (rs644234; P = 3.65 × 10(-47)). The variance explained by the LGALS3 locus was 25.6% and by the ABO locus 3.8% and jointly they explained 29.2%. Rs2274273 lies in high linkage disequilibrium with two non-synonymous SNPs (rs4644; r(2) = 1.0, and rs4652; r(2) = 0.91) and wet lab follow-up genotyping revealed that both are strongly associated with galectin-3 levels (rs4644; P = 4.97 × 10(-465) and rs4652 P = 1.50 × 10(-421)) and were also associated with LGALS3 gene-expression. The origins of our associations should be further validated by means of functional experiments.

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Geographical breakdown

Country Count As %
United States 1 2%
Unknown 54 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 27%
Student > Ph. D. Student 8 15%
Professor 4 7%
Student > Master 4 7%
Student > Bachelor 3 5%
Other 11 20%
Unknown 10 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 29%
Medicine and Dentistry 13 24%
Biochemistry, Genetics and Molecular Biology 11 20%
Computer Science 3 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 1 2%
Unknown 10 18%