A genomic exploration identifies mechanisms that may explain adverse cardiovascular effects of COX-2 inhibitors.
A genomic exploration identifies mechanisms that may explain adverse cardiovascular effects of COX-2 inhibitors.
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DOI:
10.1038/s41598-017-10928-4
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发表时间:
2017-08-31
影响因子:
4.6
通讯作者:
Schunkert H
中科院分区:
文献类型:
--
作者:
Brænne I;Willenborg C;Tragante V;Kessler T;Zeng L;Reiz B;Kleinecke M;von Ameln S;Willer CJ;Laakso M;Wild PS;Zeller T;Wallentin L;Franks PW;Salomaa V;Dehghan A;Meitinger T;Samani NJ;Asselbergs FW;Erdmann J;Schunkert H
Cyclooxygenase-2 inhibitors (coxibs) are characterized by multiple molecular off-target effects and increased coronary artery disease (CAD) risk. Here, we systematically explored common variants of genes representing molecular targets of coxibs for association with CAD. Given a broad spectrum of pleiotropic effects of coxibs, our intention was to narrow potential mechanisms affecting CAD risk as we hypothesized that the affected genes may also display genomic signals of coronary disease risk. A Drug Gene Interaction Database search identified 47 gene products to be affected by coxibs. We traced association signals in 200-kb regions surrounding these genes in 84,813 CAD cases and 202,543 controls. Based on a threshold of 1 × 10−5 (Bonferroni correction for 3131 haplotype blocks), four gene loci yielded significant associations. The lead SNPs were rs7270354 (MMP9), rs4888383 (BCAR1), rs6905288 (VEGFA1), and rs556321 (CACNA1E). By additional genotyping, rs7270354 at MMP9 and rs4888383 at BCAR1 also reached the established GWAS threshold for genome-wide significance. The findings demonstrate overlap of genes affected by coxibs and those mediating CAD risk and points to further mechanisms, which are potentially responsible for coxib-associated CAD risk. The novel approach furthermore suggests that genetic studies may be useful to explore the clinical relevance of off-target drug effects.
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影响因子:
10.3
作者:
Brinkman, A;van der Flier, S;Dorssers, LCJ
通讯作者:
Dorssers, LCJ
影响因子:
7.7
作者:
Evans, A;Salomaa, V;Kuulasmaa, K
通讯作者:
Kuulasmaa, K
影响因子:
5.8
作者:
Leslie, Richard;O'Donnell, Christopher J.;Johnson, Andrew D.
通讯作者:
Johnson, Andrew D.
影响因子:
2.6
作者:
Gong L;Thorn CF;Bertagnolli MM;Grosser T;Altman RB;Klein TE
通讯作者:
Klein TE
DOI:
10.1126/science.1262110
发表时间:
2015-05-08
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
GTEx Consortium
通讯作者:
GTEx Consortium