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Transcriptome-Wide Analysis Identifies Novel Associations With Blood Pressure.

Citation
Zeller, T., et al. “Transcriptome-Wide Analysis Identifies Novel Associations With Blood Pressure.”. Hypertension (Dallas, Tex. : 1979), pp. 743-750.
Center UCSD-UCLA
Author Tanja Zeller, Claudia Schurmann, Katharina Schramm, Christian Müller, Soonil Kwon, Philipp S Wild, Alexander Teumer, David Herrington, Arne Schillert, Licia Iacoviello, Adelheid Kratzer, Annika Jagodzinski, Mahir Karakas, Jingzhong Ding, Johannes T Neumann, Kari Kuulasmaa, Christian Gieger, Tim Kacprowski, Renate B Schnabel, Michael Roden, Simone Wahl, Jerome I Rotter, Francisco Ojeda, Maren Carstensen-Kirberg, David-Alexandre Tregouet, Marcus Dörr, Thomas Meitinger, Karl J Lackner, Petra Wolf, Stephan B Felix, Ulf Landmesser, Simona Costanzo, Andreas Ziegler, Yongmei Liu, Uwe Völker, Walter Palmas, Holger Prokisch, Xiuqing Guo, Christian Herder, Stefan Blankenberg, Georg Homuth
Keywords blood pressure, gene expression, genome-wide association study, hypertension, transcriptome
Abstract

Hypertension represents a major cardiovascular risk factor. The pathophysiology of increased blood pressure (BP) is not yet completely understood. Transcriptome profiling offers possibilities to uncover genetics effects on BP. Based on 2 populations including 2549 individuals, a meta-analyses of monocytic transcriptome-wide profiles were performed to identify transcripts associated with BP. Replication was performed in 2 independent studies of whole-blood transcriptome data including 1990 individuals. For identified candidate genes, a direct link between long-term changes in BP and gene expression over time and by treatment with BP-lowering therapy was assessed. The predictive value of protein levels encoded by candidate genes for subsequent cardiovascular disease was investigated. Eight transcripts (, , , , , , and ) were identified jointly accounting for up to 13% (95% confidence interval, 8.7-16.2) of BP variability. Changes in , , , , , , and expression associated with BP changes-among these, gene expression was additionally correlated to measures of cardiac hypertrophy. Assessment of circulating CRIP1 (cystein-rich protein 1) levels as biomarkers showed a strong association with increased risk for incident stroke (hazard ratio, 1.06; 95% confidence interval, 1.03-1.09; =5.0×10). Our comprehensive analysis of global gene expression highlights 8 novel transcripts significantly associated with BP, providing a link between gene expression and BP. Translational approaches further established evidence for the potential use of CRIP1 as emerging disease-related biomarker.

Year of Publication
2017
Journal
Hypertension (Dallas, Tex. : 1979)
Volume
70
Issue
4
Number of Pages
743-750
Date Published
12/2017
ISSN Number
1524-4563
DOI
10.1161/HYPERTENSIONAHA.117.09458
Alternate Journal
Hypertension
PMID
28784648
PMCID
PMC5997260
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