Study of effect modifiers of genetically predicted CETP reduction

IF 1.7 4区 医学 Q3 GENETICS & HEREDITY
Marc-André Legault, Amina Barhdadi, Isabel Gamache, Audrey Lemaçon, Louis-Philippe Lemieux Perreault, Jean-Christophe Grenier, Marie-Pierre Sylvestre, Julie G. Hussin, David Rhainds, Jean-Claude Tardif, Marie-Pierre Dubé
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Abstract

Genetic variants in drug targets can be used to predict the long-term, on-target effect of drugs. Here, we extend this principle to assess how sex and body mass index may modify the effect of genetically predicted lower CETP levels on biomarkers and cardiovascular outcomes. We found sex and body mass index (BMI) to be modifiers of the association between genetically predicted lower CETP and lipid biomarkers in UK Biobank participants. Female sex and lower BMI were associated with higher high-density lipoprotein cholesterol and lower low-density lipoprotein cholesterol for the same genetically predicted reduction in CETP concentration. We found that sex also modulated the effect of genetically lower CETP on cholesterol efflux capacity in samples from the Montreal Heart Institute Biobank. However, these modifying effects did not extend to sex differences in cardiovascular outcomes in our data. Our results provide insight into the clinical effects of CETP inhibitors in the presence of effect modification based on genetic data. The approach can support precision medicine applications and help assess the external validity of clinical trials.

Abstract Image

基因预测CETP降低效应修饰因子的研究
药物靶点的遗传变异可用于预测药物的长期靶向效应。在这里,我们扩展了这一原则,以评估性别和体重指数如何改变基因预测的较低CETP水平对生物标志物和心血管结局的影响。我们发现性别和体重指数(BMI)是英国生物银行参与者中遗传预测的较低CETP和脂质生物标志物之间关联的修饰因子。女性和较低的身体质量指数与较高的高密度脂蛋白胆固醇和较低的低密度脂蛋白胆固醇相关,同样的基因预测CETP浓度降低。我们在蒙特利尔心脏研究所生物银行的样本中发现,性别也调节了遗传性CETP较低对胆固醇外排能力的影响。然而,在我们的数据中,这些修饰效应并没有扩展到心血管结局的性别差异。我们的研究结果为CETP抑制剂的临床效果提供了基于遗传数据的效应修饰。该方法可以支持精准医学应用,并有助于评估临床试验的外部有效性。
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来源期刊
Genetic Epidemiology
Genetic Epidemiology 医学-公共卫生、环境卫生与职业卫生
CiteScore
4.40
自引率
9.50%
发文量
49
审稿时长
6-12 weeks
期刊介绍: Genetic Epidemiology is a peer-reviewed journal for discussion of research on the genetic causes of the distribution of human traits in families and populations. Emphasis is placed on the relative contribution of genetic and environmental factors to human disease as revealed by genetic, epidemiological, and biologic investigations. Genetic Epidemiology primarily publishes papers in statistical genetics, a research field that is primarily concerned with development of statistical, bioinformatical, and computational models for analyzing genetic data. Incorporation of underlying biology and population genetics into conceptual models is favored. The Journal seeks original articles comprising either applied research or innovative statistical, mathematical, computational, or genomic methodologies that advance studies in genetic epidemiology. Other types of reports are encouraged, such as letters to the editor, topic reviews, and perspectives from other fields of research that will likely enrich the field of genetic epidemiology.
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