| Literature DB >> 28784648 |
Tanja Zeller1, Claudia Schurmann2, Katharina Schramm2, Christian Müller2, Soonil Kwon2, Philipp S Wild2, Alexander Teumer2, David Herrington2, Arne Schillert2, Licia Iacoviello2, Adelheid Kratzer2, Annika Jagodzinski2, Mahir Karakas2, Jingzhong Ding2, Johannes T Neumann2, Kari Kuulasmaa2, Christian Gieger2, Tim Kacprowski2, Renate B Schnabel2, Michael Roden2, Simone Wahl2, Jerome I Rotter2, Francisco Ojeda2, Maren Carstensen-Kirberg2, David-Alexandre Tregouet2, Marcus Dörr2, Thomas Meitinger2, Karl J Lackner2, Petra Wolf2, Stephan B Felix2, Ulf Landmesser2, Simona Costanzo2, Andreas Ziegler2, Yongmei Liu2, Uwe Völker2, Walter Palmas2, Holger Prokisch2, Xiuqing Guo2, Christian Herder2, Stefan Blankenberg2, Georg Homuth2.
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 (CRIP1, MYADM, TIPARP, TSC22D3, CEBPA, F12, LMNA, and TPPP3) were identified jointly accounting for up to 13% (95% confidence interval, 8.7-16.2) of BP variability. Changes in CRIP1, MYADM, TIPARP, LMNA, TSC22D3, CEBPA, and TPPP3 expression associated with BP changes-among these, CRIP1 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; P=5.0×10-5). 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.Entities:
Keywords: blood pressure; gene expression; genome-wide association study; hypertension; transcriptome
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Year: 2017 PMID: 28784648 PMCID: PMC5997260 DOI: 10.1161/HYPERTENSIONAHA.117.09458
Source DB: PubMed Journal: Hypertension ISSN: 0194-911X Impact factor: 10.190