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Effect of genetic variations on ticagrelor plasma levels and clinical outcomes

Varenhorst, Christoph (author)
Uppsala universitet,Uppsala kliniska forskningscentrum (UCR)
Eriksson, Niclas (author)
Uppsala universitet,Uppsala kliniska forskningscentrum (UCR)
Johansson, Åsa (author)
Uppsala universitet,Medicinsk genetik och genomik
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Barratt, Bryan J. (author)
Hagström, Emil (author)
Uppsala universitet,Kardiologi
Åkerblom, Axel (author)
Uppsala universitet,Uppsala kliniska forskningscentrum (UCR)
Syvänen, Ann-Christine (author)
Uppsala universitet,Molekylär medicin
Becker, Richard C. (author)
James, Stefan K. (author)
Uppsala universitet,Kardiologi,Uppsala kliniska forskningscentrum (UCR)
Katus, Hugo A. (author)
Husted, Steen (author)
Steg, Ph. Gabriel (author)
Siegbahn, Agneta (author)
Uppsala universitet,Koagulation och inflammationsvetenskap
Voora, Deepak (author)
Teng, Renli (author)
Storey, Robert F. (author)
Wallentin, Lars (author)
Uppsala universitet,Uppsala kliniska forskningscentrum (UCR),Kardiologi
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 (creator_code:org_t)
2015-05-02
2015
English.
In: European Heart Journal. - : Oxford University Press (OUP). - 0195-668X .- 1522-9645. ; 36:29, s. 1901-1912
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Aims Ticagrelor, a direct-acting P2Y(12)-receptor antagonist, is rapidly absorbed and partly metabolized to the major metabolite AR-C124910XX (ARC). To identify single-nucleotide polymorphisms (SNPs) associated with pharmacokinetics of ticagrelor and clinical outcomes, we performed a genome-wide association study (GWAS) in patients treated with ticagrelor in the PLATO trial. Methods and results A two-stage design was used for the GWAS with discovery (discovery phase: n = 1812) and replication cohorts (replication phase: n = 1941). The steady-state area under the curve (AUCss) values, estimated by the population pharmacokinetic (PK) models, were log transformed and analysed on a genome-wide scale using linear regression. SNPs were analysed against clinical events using Cox-regression in 4990 patients. An SNP (rs113681054) in SLCO1B1 was associated with levels of ticagrelor (P = 1.1 x 10(-6)) and ARC (P = 4.6 x 10(-13)). This SNP is in linkage disequilibrium with a functional variant (rs4149056) that results in decreased OATP1B1 transporter activity. Ticagrelor levels were also associated with two independent SNPs (rs62471956, P = 7.7 x 10(-15) and rs56324128, P = 9.7 x 10(-12)) in the CYP3A4 region. Further, ARC levels were associated with rs61361928 (P = 3.0 x 10(-14)) in UGT2B7. At all loci, the effects were small. None of the identified SNPs that affected ticagrelor PK were associated with the primary composite outcome (cardiovascular death myocardial infarction, and stroke), non-CABG-related bleeds or investigator-reported dyspnoea. Conclusion In patients with ACS, ticagrelor pharmacokinetics is influenced by three genetic loci (SLCO1B1, UGT2B7, and CYP3A4). However, the modest genetic effects on ticagrelor plasma levels did not translate into any detectable effect on efficacy or safety during ticagrelor treatment.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Kardiologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Cardiac and Cardiovascular Systems (hsv//eng)

Keyword

Genome-wide association study
Acute Coronary Syndrome
Antiplatelet Treatment
Clopidogrel
Ticagrelor
Pharmacogenetics

Publication and Content Type

ref (subject category)
art (subject category)

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