基因组风险评分和口服避孕药相关的缺血性中风风险:呼吁合作

Forrest Lin, Liisa Tomppo, Brady Gaynor, Kathleen Ryan, John W. Cole, Braxton D. Mitchell, Jukka Putaala, Steven J. Kittner
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引用次数: 0

摘要

背景口服避孕药(OCs)通常是安全的,但血管危险因素增加了与OCs相关的缺血性卒中风险。我们进行了一项病例对照研究,以评估缺血性卒中的基因组风险评分是否会改变oc相关的缺血性卒中风险。方法早发性卒中遗传学研究包括332名绝经前妇女(136例动脉缺血性卒中患者和196例对照组),在指标事件(病例)或访谈(对照组)前30天内使用含雌激素的OC的数据。使用先前验证的基于卒中和卒中相关危险因素的19个多基因风险评分的缺血性卒中遗传风险评分(metaGRS),我们将合并病例对照样本分层为基因组风险的三分位数。我们评估了每个样本中使用脑卒中与缺血性中风之间的关系。我们使用带有OC使用与metaGRS相互作用项的logistic回归检验了OC使用与缺血性卒中之间的关联是否依赖于卒中的基因组风险。这些分析在有或没有调整吸烟、高血压、糖尿病、冠心病和体重指数的情况下进行。结果在校正血管危险因素后,使用OC的总体优势比为3.2(1.7-6.3),并且从基因组风险的低、中、高三分位数分别从1.6(0.5-5.4)增加到2.5(0.08-8.2)到13.7(3.8-67.3),相互作用的p值为0.001。结论基因组谱可能改变oc相关的缺血性卒中风险。有必要进行更大规模的研究,以确定基因组风险评分是否在临床上有助于减少oc相关的缺血性卒中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Genomic risk scores and oral contraceptive-associated ischemic stroke risk: a call for collaboration
Background Oral contraceptives (OCs) are generally safe but vascular risk factors increase OC-associated ischemic stroke risk. We performed a case-control study to evaluate whether a genomic risk score for ischemic stroke modifies OC-associated ischemic stroke risk. Methods The Genetics of Early-Onset Stroke study includes 332 premenopausal women (136 arterial ischemic stroke cases and 196 controls) with data on estrogen-containing OC use within 30 days before the index event (for cases) or interview (for controls). Using a previously validated genetic risk score (metaGRS) for ischemic stroke based on 19 polygenic risk scores for stroke and stroke-associated risk factors, we stratified our combined case-control sample into tertiles of genomic risk. We evaluated the association between OC use and ischemic stroke within each tertile. We tested if the association between OC use and ischemic stroke depended on the genomic risk of stroke using logistic regression with an OC use × metaGRS interaction term. These analyses were performed with and without adjustment for smoking, hypertension, diabetes, coronary heart disease, and body mass index. Results After adjustment for vascular risk factors, the odds ratio of OC use was 3.2 (1.7–6.3) overall and increased from the lower, middle, and upper tertile of genomic risk from 1.6 (0.5–5.4) to 2.5 (0.08–8.2) to 13.7 (3.8–67.3) respectively, and a p -value for interaction of 0.001. Conclusions Our results suggest that genomic profile may modify the OC-associated ischemic stroke risk. Larger studies are warranted to determine whether a genomic risk score could be clinically useful in reducing OC-associated ischemic stroke.
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