Department of Medicine, Division of Genetic Medicine.
Vanderbilt Genetics Institute.
J Hypertens. 2023 Jun 1;41(6):1024-1032. doi: 10.1097/HJH.0000000000003427. Epub 2023 Apr 4.
Blood pressure is a complex, polygenic trait, and the need to identify prehypertensive risks and new gene targets for blood pressure control therapies or prevention continues. We hypothesize a developmental origins model of blood pressure traits through the life course where the placenta is a conduit mediating genomic and nongenomic transmission of disease risk. Genetic control of placental gene expression has recently been described through expression quantitative trait loci (eQTL) studies which have identified associations with childhood phenotypes.
We conducted a transcriptome-wide gene expression analysis estimating the predicted gene expression of placental tissue in adult individuals with genome-wide association study (GWAS) blood pressure summary statistics. We constructed predicted expression models of 15 154 genes from reference placenta eQTL data and investigated whether genetically-predicted gene expression in placental tissue is associated with blood pressure traits using published GWAS summary statistics. Functional annotation of significant genes was generated using FUMA.
We identified 18, 9, and 21 genes where predicted expression in placenta was significantly associated with systolic blood pressure (SBP), diastolic blood pressure (DBP), and pulse pressure (PP), respectively. There were 14 gene-tissue associations (13 unique genes) significant only in placenta.
In this meta-analysis using S-PrediXcan and GWAS summary statistics, the predicted expression in placenta of 48 genes was statistically significantly associated with blood pressure traits. Notable findings included the association of FGFR1 expression with increased SBP and PP. This evidence of gene expression variation in placenta preceding the onset of adult blood pressure phenotypes is an example of extreme preclinical biological changes which may benefit from intervention.
血压是一种复杂的多基因特征,因此需要识别高血压前期的风险,并寻找新的基因靶点,以用于血压控制疗法或预防。我们假设,通过整个生命过程中的发育起源模型,胎盘是一种介导疾病风险的基因组和非基因组传递的渠道。最近通过表达数量性状基因座(eQTL)研究描述了胎盘基因表达的遗传控制,这些研究确定了与儿童表型相关的关联。
我们进行了全基因组关联研究(GWAS)血压汇总统计数据的胎盘组织全转录组基因表达分析,以估计成人个体的胎盘组织的预测基因表达。我们使用参考胎盘 eQTL 数据构建了 15154 个基因的预测表达模型,并使用已发表的 GWAS 汇总统计数据调查了胎盘组织中遗传预测的基因表达与血压特征之间的关系。使用 FUMA 对显著基因进行功能注释。
我们发现,在胎盘组织中,有 18、9 和 21 个基因的预测表达与收缩压(SBP)、舒张压(DBP)和脉压(PP)分别显著相关。有 14 个基因-组织关联(13 个独特基因)仅在胎盘组织中显著。
在本研究中,我们使用 S-PrediXcan 和 GWAS 汇总统计数据进行了荟萃分析,发现 48 个基因在胎盘组织中的预测表达与血压特征存在统计学上的显著关联。值得注意的发现包括 FGFR1 表达与 SBP 和 PP 增加的关联。这种在胎盘组织中发生的、与成年血压表型发生之前的基因表达变异的证据是一种极端的临床前生物学变化的实例,这种变化可能受益于干预。