Title |
A Genome-Wide Association Study of Circulating Galectin-3
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Published in |
PLOS ONE, October 2012
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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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Unknown | 1 | 100% |
Demographic breakdown
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
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United States | 1 | 2% |
Unknown | 54 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
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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 % |
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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% |