Plasma proteome and incident myocardial infarction: sex-specific differences

医学 孟德尔随机化 队列 心肌梗塞 人口 内科学 队列研究 肿瘤科 生物信息学 遗传学 基因型 遗传变异 生物 环境卫生 基因
作者
Olga E. Titova,Shuai Yuan,Liisa Byberg,John A. Baron,Lars Lind,Karl Michaëlsson,Susanna C. Larsson
出处
期刊:European Heart Journal [Oxford University Press]
标识
DOI:10.1093/eurheartj/ehae658
摘要

Abstract Background and aims Few population-based cohort studies, including both men and women, have explored circulating proteins associated with incident myocardial infarction (MI). This study investigated the relationships between circulating cardiometabolic-related proteins and MI risk using cohort-based and Mendelian randomization (MR) analyses and explored potential sex-specific differences. Methods The discovery cohort included 11 751 Swedish adults (55–93 years). Data on 259 proteins assessed with Olink proximity extension assays, biochemical, and questionnaire-based information were used. Participants were followed up for incident MI and death over 8 years through linkage to Swedish registers. Replication analyses were conducted on the UK Biobank sample (n = 51 613). In MR analyses, index cis-genetic variants strongly related to the proteins were used as instrumental variables. Genetic association summary statistic data for MI were obtained from the CARDIoGRAMplusC4D consortium and FinnGen. Results Forty-five proteins were associated with incident MI in discovery and replication samples following adjustment for potential confounders and multiple testing. In the secondary analysis, 13 of the protein associations were sex-specific, with most associations identified among women. In MR analysis, genetically predicted higher levels of renin, follistatin, and retinoic acid receptor responder protein 2 were linked to an increased risk of MI. Tissue factor pathway inhibitor, tumor necrosis factor receptors 1 and 2, placenta growth factor had an inverse association with MI. Conclusions This study identified both new and confirmed previously established associations between circulating proteins and incident MI and, for the first time, suggested sex-specific patterns in multiple protein-MI associations.

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