Research ExplorerPublicationsTranscriptome-Wide Analysis Identifies Novel Associations Wi...

Transcriptome-Wide Analysis Identifies Novel Associations With Blood Pressure

Standard

Transcriptome-Wide Analysis Identifies Novel Associations With Blood Pressure. / Zeller, Tanja; Schurmann, Claudia; Schramm, Katharina; Müller, Christian; Kwon, Soonil; Wild, Philipp S; Teumer, Alexander; Herrington, David; Schillert, Arne; Iacoviello, Licia; Kratzer, Adelheid; Jagodzinski, Annika; Karakas, Mahir; Ding, Jingzhong; Neumann, Johannes T; Kuulasmaa, Kari; Gieger, Christian; Kacprowski, Tim; Schnabel, Renate B; Roden, Michael; Wahl, Simone; Rotter, Jerome I; Ojeda, Francisco; Carstensen-Kirberg, Maren; Tregouet, David-Alexandre; Dörr, Marcus; Meitinger, Thomas; Lackner, Karl J; Wolf, Petra; Felix, Stephan B; Landmesser, Ulf; Costanzo, Simona; Ziegler, Andreas; Liu, Yongmei; Völker, Uwe; Palmas, Walter; Prokisch, Holger; Guo, Xiuqing; Herder, Christian; Blankenberg, Stefan; Homuth, Georg.

In: HYPERTENSION, Vol. 70, No. 4, 10.2017, p. 743-750.

Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

Harvard

Zeller, T, Schurmann, C, Schramm, K, Müller, C, Kwon, S, Wild, PS, Teumer, A, Herrington, D, Schillert, A, Iacoviello, L, Kratzer, A, Jagodzinski, A, Karakas, M, Ding, J, Neumann, JT, Kuulasmaa, K, Gieger, C, Kacprowski, T, Schnabel, RB, Roden, M, Wahl, S, Rotter, JI, Ojeda, F, Carstensen-Kirberg, M, Tregouet, D-A, Dörr, M, Meitinger, T, Lackner, KJ, Wolf, P, Felix, SB, Landmesser, U, Costanzo, S, Ziegler, A, Liu, Y, Völker, U, Palmas, W, Prokisch, H, Guo, X, Herder, C, Blankenberg, S & Homuth, G 2017, 'Transcriptome-Wide Analysis Identifies Novel Associations With Blood Pressure', HYPERTENSION, vol. 70, no. 4, pp. 743-750. https://doi.org/10.1161/HYPERTENSIONAHA.117.09458

APA

Zeller, T., Schurmann, C., Schramm, K., Müller, C., Kwon, S., Wild, P. S., Teumer, A., Herrington, D., Schillert, A., Iacoviello, L., Kratzer, A., Jagodzinski, A., Karakas, M., Ding, J., Neumann, J. T., Kuulasmaa, K., Gieger, C., Kacprowski, T., Schnabel, R. B., ... Homuth, G. (2017). Transcriptome-Wide Analysis Identifies Novel Associations With Blood Pressure. HYPERTENSION, 70(4), 743-750. https://doi.org/10.1161/HYPERTENSIONAHA.117.09458

Vancouver

Zeller T, Schurmann C, Schramm K, Müller C, Kwon S, Wild PS et al. Transcriptome-Wide Analysis Identifies Novel Associations With Blood Pressure. HYPERTENSION. 2017 Oct;70(4):743-750. https://doi.org/10.1161/HYPERTENSIONAHA.117.09458

Bibtex

@article{366a04673b534fbb858a7d6b2fc2a7df,
title = "Transcriptome-Wide Analysis Identifies Novel Associations With Blood Pressure",
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.",
keywords = "Adult, Blood Pressure/genetics, Blood Pressure Determination/methods, CCAAT-Enhancer-Binding Proteins/genetics, Carrier Proteins/genetics, Female, Gene Expression, Gene Expression Profiling, Genome-Wide Association Study, Humans, Hypertension/diagnosis, LIM Domain Proteins/genetics, Male, Myelin and Lymphocyte-Associated Proteolipid Proteins/genetics, Poly(ADP-ribose) Polymerases/genetics, Polymorphism, Single Nucleotide, Risk Factors, Stroke/epidemiology, Transcription Factors/genetics",
author = "Tanja Zeller and Claudia Schurmann and Katharina Schramm and Christian M{\"u}ller and Soonil Kwon and Wild, {Philipp S} and Alexander Teumer and David Herrington and Arne Schillert and Licia Iacoviello and Adelheid Kratzer and Annika Jagodzinski and Mahir Karakas and Jingzhong Ding and Neumann, {Johannes T} and Kari Kuulasmaa and Christian Gieger and Tim Kacprowski and Schnabel, {Renate B} and Michael Roden and Simone Wahl and Rotter, {Jerome I} and Francisco Ojeda and Maren Carstensen-Kirberg and David-Alexandre Tregouet and Marcus D{\"o}rr and Thomas Meitinger and Lackner, {Karl J} and Petra Wolf and Felix, {Stephan B} and Ulf Landmesser and Simona Costanzo and Andreas Ziegler and Yongmei Liu and Uwe V{\"o}lker and Walter Palmas and Holger Prokisch and Xiuqing Guo and Christian Herder and Stefan Blankenberg and Georg Homuth",
note = "{\textcopyright} 2017 American Heart Association, Inc.",
year = "2017",
month = oct,
doi = "10.1161/HYPERTENSIONAHA.117.09458",
language = "English",
volume = "70",
pages = "743--750",
journal = "HYPERTENSION",
issn = "0194-911X",
publisher = "Lippincott Williams and Wilkins",
number = "4",

}

RIS

TY - JOUR

T1 - Transcriptome-Wide Analysis Identifies Novel Associations With Blood Pressure

AU - Zeller, Tanja

AU - Schurmann, Claudia

AU - Schramm, Katharina

AU - Müller, Christian

AU - Kwon, Soonil

AU - Wild, Philipp S

AU - Teumer, Alexander

AU - Herrington, David

AU - Schillert, Arne

AU - Iacoviello, Licia

AU - Kratzer, Adelheid

AU - Jagodzinski, Annika

AU - Karakas, Mahir

AU - Ding, Jingzhong

AU - Neumann, Johannes T

AU - Kuulasmaa, Kari

AU - Gieger, Christian

AU - Kacprowski, Tim

AU - Schnabel, Renate B

AU - Roden, Michael

AU - Wahl, Simone

AU - Rotter, Jerome I

AU - Ojeda, Francisco

AU - Carstensen-Kirberg, Maren

AU - Tregouet, David-Alexandre

AU - Dörr, Marcus

AU - Meitinger, Thomas

AU - Lackner, Karl J

AU - Wolf, Petra

AU - Felix, Stephan B

AU - Landmesser, Ulf

AU - Costanzo, Simona

AU - Ziegler, Andreas

AU - Liu, Yongmei

AU - Völker, Uwe

AU - Palmas, Walter

AU - Prokisch, Holger

AU - Guo, Xiuqing

AU - Herder, Christian

AU - Blankenberg, Stefan

AU - Homuth, Georg

N1 - © 2017 American Heart Association, Inc.

PY - 2017/10

Y1 - 2017/10

N2 - 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.

AB - 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.

KW - Adult

KW - Blood Pressure/genetics

KW - Blood Pressure Determination/methods

KW - CCAAT-Enhancer-Binding Proteins/genetics

KW - Carrier Proteins/genetics

KW - Female

KW - Gene Expression

KW - Gene Expression Profiling

KW - Genome-Wide Association Study

KW - Humans

KW - Hypertension/diagnosis

KW - LIM Domain Proteins/genetics

KW - Male

KW - Myelin and Lymphocyte-Associated Proteolipid Proteins/genetics

KW - Poly(ADP-ribose) Polymerases/genetics

KW - Polymorphism, Single Nucleotide

KW - Risk Factors

KW - Stroke/epidemiology

KW - Transcription Factors/genetics

U2 - 10.1161/HYPERTENSIONAHA.117.09458

DO - 10.1161/HYPERTENSIONAHA.117.09458

M3 - SCORING: Journal article

C2 - 28784648

VL - 70

SP - 743

EP - 750

JO - HYPERTENSION

JF - HYPERTENSION

SN - 0194-911X

IS - 4

ER -