Association of genetically-predicted placental gene expression with adult blood pressure traits

Author:

Hellwege Jacklyn N.12,Stallings Sarah C.12,Piekos Jacqueline A.23,Jasper Elizabeth A.3,Aronoff David M.4,Edwards Todd L.25,Velez Edwards Digna R.236

Affiliation:

1. Department of Medicine, Division of Genetic Medicine

2. Vanderbilt Genetics Institute

3. Department of Obstetrics and Gynecology, Division of Quantitative Sciences

4. Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana

5. Department of Medicine, Division of Epidemiology, Vanderbilt University Medical Center, Nashville, Tennessee

6. Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA

Abstract

Objective: 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. Methods: 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. Results: 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. Conclusions: 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.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Cardiology and Cardiovascular Medicine,Physiology,Internal Medicine

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