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Pharmacogenetic meta-analysis of baseline risk factors, pharmacodynamic, efficacy and tolerability endpoints from two large global cardiovascular outcomes trials for darapladib

Author

Listed:
  • Astrid Yeo
  • Li Li
  • Liling Warren
  • Jennifer Aponte
  • Dana Fraser
  • Karen King
  • Kelley Johansson
  • Allison Barnes
  • Colin MacPhee
  • Richard Davies
  • Stephanie Chissoe
  • Elizabeth Tarka
  • Michelle L O’Donoghue
  • Harvey D White
  • Lars Wallentin
  • Dawn Waterworth

Abstract

Darapladib, a lipoprotein-associated phospholipase A2 (Lp-PLA2) inhibitor, failed to demonstrate efficacy for the primary endpoints in two large phase III cardiovascular outcomes trials, one in stable coronary heart disease patients (STABILITY) and one in acute coronary syndrome (SOLID-TIMI 52). No major safety signals were observed but tolerability issues of diarrhea and odor were common (up to 13%). We hypothesized that genetic variants associated with Lp-PLA2 activity may influence efficacy and tolerability and therefore performed a comprehensive pharmacogenetic analysis of both trials. We genotyped patients within the STABILITY and SOLID-TIMI 52 trials who provided a DNA sample and consent (n = 13,577 and 10,404 respectively, representing 86% and 82% of the trial participants) using genome-wide arrays with exome content and performed imputation using a 1000 Genomes reference panel. We investigated baseline and change from baseline in Lp-PLA2 activity, two efficacy endpoints (major coronary events and myocardial infarction) as well as tolerability parameters at genome-wide and candidate gene level using a meta-analytic approach. We replicated associations of published loci on baseline Lp-PLA2 activity (APOE, CELSR2, LPA, PLA2G7, LDLR and SCARB1) and identified three novel loci (TOMM5, FRMD5 and LPL) using the GWAS-significance threshold P≤5E-08. Review of the PLA2G7 gene (encoding Lp-PLA2) within these datasets identified V279F null allele carriers as well as three other rare exonic null alleles within various ethnic groups, however none of these variants nor any other loci associated with Lp-PLA2 activity at baseline were associated with any of the drug response endpoints. The analysis of darapladib efficacy endpoints, despite low power, identified six low frequency loci with main genotype effect (though with borderline imputation scores) and one common locus (minor allele frequency 0.24) with genotype by treatment interaction effect passing the GWAS-significance threshold. This locus conferred risk in placebo subjects, hazard ratio (HR) 1.22 with 95% confidence interval (CI) 1.11–1.33, but was protective in darapladib subjects, HR 0.79 (95% CI 0.71–0.88). No major loci for tolerability were found. Thus, genetic analysis confirmed and extended the influence of lipoprotein loci on Lp-PLA2 levels, identified some novel null alleles in the PLA2G7 gene, and only identified one potentially efficacious subgroup within these two large clinical trials.

Suggested Citation

  • Astrid Yeo & Li Li & Liling Warren & Jennifer Aponte & Dana Fraser & Karen King & Kelley Johansson & Allison Barnes & Colin MacPhee & Richard Davies & Stephanie Chissoe & Elizabeth Tarka & Michelle L , 2017. "Pharmacogenetic meta-analysis of baseline risk factors, pharmacodynamic, efficacy and tolerability endpoints from two large global cardiovascular outcomes trials for darapladib," PLOS ONE, Public Library of Science, vol. 12(7), pages 1-23, July.
  • Handle: RePEc:plo:pone00:0182115
    DOI: 10.1371/journal.pone.0182115
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    References listed on IDEAS

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    1. Yangsoo Jang & Dawn Waterworth & Jong-Eun Lee & Kijoung Song & Sujin Kim & Hyo-Soo Kim & Kyung Woo Park & Hyun-Jai Cho & Il-Young Oh & Jeong Euy Park & Bok-Soo Lee & Hyo Jeong Ku & Dong-Jik Shin & Jon, 2011. "Carriage of the V279F Null Allele within the Gene Encoding Lp-PLA2 Is Protective from Coronary Artery Disease in South Korean Males," PLOS ONE, Public Library of Science, vol. 6(4), pages 1-7, April.
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    1. Boyang Fu & Ali Pazokitoroudi & Mukund Sudarshan & Zhengtong Liu & Lakshminarayanan Subramanian & Sriram Sankararaman, 2023. "Fast kernel-based association testing of non-linear genetic effects for biobank-scale data," Nature Communications, Nature, vol. 14(1), pages 1-8, December.

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