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. 2019 Feb 28;133(9):967-977.
doi: 10.1182/blood-2018-05-849240. Epub 2019 Jan 14.

A genome-wide association study identifies new loci for factor VII and implicates factor VII in ischemic stroke etiology

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A genome-wide association study identifies new loci for factor VII and implicates factor VII in ischemic stroke etiology

Paul S de Vries et al. Blood. .

Abstract

Factor VII (FVII) is an important component of the coagulation cascade. Few genetic loci regulating FVII activity and/or levels have been discovered to date. We conducted a meta-analysis of 9 genome-wide association studies of plasma FVII levels (7 FVII activity and 2 FVII antigen) among 27 495 participants of European and African ancestry. Each study performed ancestry-specific association analyses. Inverse variance weighted meta-analysis was performed within each ancestry group and then combined for a trans-ancestry meta-analysis. Our primary analysis included the 7 studies that measured FVII activity, and a secondary analysis included all 9 studies. We provided functional genomic validation for newly identified significant loci by silencing candidate genes in a human liver cell line (HuH7) using small-interfering RNA and then measuring F7 messenger RNA and FVII protein expression. Lastly, we used meta-analysis results to perform Mendelian randomization analysis to estimate the causal effect of FVII activity on coronary artery disease, ischemic stroke (IS), and venous thromboembolism. We identified 2 novel (REEP3 and JAZF1-AS1) and 6 known loci associated with FVII activity, explaining 19.0% of the phenotypic variance. Adding FVII antigen data to the meta-analysis did not result in the discovery of further loci. Silencing REEP3 in HuH7 cells upregulated FVII, whereas silencing JAZF1 downregulated FVII. Mendelian randomization analyses suggest that FVII activity has a positive causal effect on the risk of IS. Variants at REEP3 and JAZF1 contribute to FVII activity by regulating F7 expression levels. FVII activity appears to contribute to the etiology of IS in the general population.

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Conflict of interest statement

Conflict-of-interest disclosure: W.M. reports grants and personal fees from AMGEN, BASF, Sanofi, Siemens Diagnostics, Aegerion Pharmaceuticals, Astrazeneca, Danone Research, Numares, Pfizer, and Hoffmann LaRoche; personal fees from MSD and Alexion; grants from Abbott Diagnostics, all outside of the submitted work; and is employed by Synlab Holding Deutschland GmbH. B.M.P. serves on the Data Safety Monitoring Board of a clinical trial funded by Zoll LifeCor and on the Steering Committee of the Yale Open Data Access Project funded by Johnson & Johnson. N.M.D. reports a grant for research unrelated to this work from the Global Research Awards for Nicotine Dependence (GRAND), an independent grant-making body funded by Pfizer. The remaining authors declare no competing financial interests.

Figures

None
Graphical abstract
Figure 1.
Figure 1.
Gene silencing in HuH7 cells. (A) F7 RNA expression after silencing REEP3, (B) FVII protein levels in cell media after silencing REEP3, (C) F7 RNA expression after silencing JAZF1, and (D) FVII protein levels in cell media after silencing JAZF1. *P = .01-.05; ***P < .001. Error bars indicate ±1 SD.
Figure 2.
Figure 2.
Causal-effect estimates. Causal-effect estimates of FVII activity on CAD (A), IS (B), and VTE (C) using Mendelian randomization. Causal-effect estimates are shown as ORs and 95% CIs per 1 unit higher natural log-transformed FVII activity (percentage or IU/ml × 100) FVII activity. Causal estimates based on single variant (“Single” in plot title) instrumental variables (IVs) are shown, as well as causal estimates based on the combination of these variants (“Multiple” in plot title) using inverse variance weighted (IVW) meta-analysis, MR-Egger, and weighted median estimation.

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