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Hypertension. 2017 Oct;70(4):743-750. doi: 10.1161/HYPERTENSIONAHA.117.09458. Epub 2017 Aug 7.

Transcriptome-Wide Analysis Identifies Novel Associations With Blood Pressure.

Author information

1
From the General and Interventional Cardiology, University Heart Center Hamburg, Germany (T.Z., C.M., A.J., M.K., J.T.N., R.B.S., F.O., S.B.); DZHK (German Centre for Cardiovascular Research), Germany (T.Z., C.S., C.M., P.S.W., A.T., A.S., A.K., A.J., M.K., J.T.N., T.K., R.B.S., M.D., T.M., K.J.L., S.B.F., U.L., A.Z., U.V., S.B.); Institute of Human Genetics (K.S., T.M., H.P.), Molecular Epidemiology (C.G., S.W.), and Institute of Epidemiology II (C.G., S.W.), Helmholtz Zentrum München, Germany; Institut für Medizinische Biometrie und Statistik, Universitätsklinikum Schleswig-Holstein, Germany (C.M., A.S., A.Z.); Institute for Translational Genomics and Population Sciences, UCLA Medical Center (S.K., J.I.R., X.G.); Preventive Cardiology and Preventive Medicine (P.S.W.), Institute of Clinical Chemistry and Laboratory Medicine (K.J.L.), and Center for Thrombosis and Hemostasis (P.S.W.), University Medical Center of the Johannes Gutenberg-University Mainz, Germany; Institute for Community Medicine (A.T.) and Department of Internal Medicine B (M.D., S.B.F.), University Medicine Greifswald, Germany; Interfaculty Institute for Genetics and Functional Genomics, University Greifswald, Germany (C.S., T.K., U.V., G.H.); Department of Internal Medicine (D.H., J.D.) and Department of Epidemiology and Prevention (Y.L.), Wake Forest School of Medicine, Winston-Salem, NC; Department of Epidemiology and Prevention, IRCCS Istituto Neurologico Mediterraneo Neuromed, Pozzilli IS, Italy (L.I., S.C.); Department of Cardiology and Pneumology, Charite, Universitätsmedizin Berlin, Germany (A.K., U.L.); National Institute for Health and Welfare, Helsinki, Finland (K.K.); Institute for Clinical Diabetology, German Diabetes Center, Duesseldorf, Germany (M.R., M.C.-K., C.H.); Department of Endocrinology and Diabetology, Medical Faculty Düsseldorf, Germany (M.R.); German Center for Diabetes Research (DZD), Munich, Germany (M.R., S.W., M.C.-K., C.H.); Sorbonne Universités, UPMC, INSERM, UMR_S 1166, ICAN Institute for Cardiometabolism and Nutrition, Paris, France (D.-A.T.); Institute of Human Genetics, Technische Universität München, Germany (T.M., P.W., H.P.); ZIK_FunGene, Universität Greifswald, Germany (U.V., G.H.); and Columbia University Medical Center, New York, NY (W.P.). t.zeller@uke.de.
2
From the General and Interventional Cardiology, University Heart Center Hamburg, Germany (T.Z., C.M., A.J., M.K., J.T.N., R.B.S., F.O., S.B.); DZHK (German Centre for Cardiovascular Research), Germany (T.Z., C.S., C.M., P.S.W., A.T., A.S., A.K., A.J., M.K., J.T.N., T.K., R.B.S., M.D., T.M., K.J.L., S.B.F., U.L., A.Z., U.V., S.B.); Institute of Human Genetics (K.S., T.M., H.P.), Molecular Epidemiology (C.G., S.W.), and Institute of Epidemiology II (C.G., S.W.), Helmholtz Zentrum München, Germany; Institut für Medizinische Biometrie und Statistik, Universitätsklinikum Schleswig-Holstein, Germany (C.M., A.S., A.Z.); Institute for Translational Genomics and Population Sciences, UCLA Medical Center (S.K., J.I.R., X.G.); Preventive Cardiology and Preventive Medicine (P.S.W.), Institute of Clinical Chemistry and Laboratory Medicine (K.J.L.), and Center for Thrombosis and Hemostasis (P.S.W.), University Medical Center of the Johannes Gutenberg-University Mainz, Germany; Institute for Community Medicine (A.T.) and Department of Internal Medicine B (M.D., S.B.F.), University Medicine Greifswald, Germany; Interfaculty Institute for Genetics and Functional Genomics, University Greifswald, Germany (C.S., T.K., U.V., G.H.); Department of Internal Medicine (D.H., J.D.) and Department of Epidemiology and Prevention (Y.L.), Wake Forest School of Medicine, Winston-Salem, NC; Department of Epidemiology and Prevention, IRCCS Istituto Neurologico Mediterraneo Neuromed, Pozzilli IS, Italy (L.I., S.C.); Department of Cardiology and Pneumology, Charite, Universitätsmedizin Berlin, Germany (A.K., U.L.); National Institute for Health and Welfare, Helsinki, Finland (K.K.); Institute for Clinical Diabetology, German Diabetes Center, Duesseldorf, Germany (M.R., M.C.-K., C.H.); Department of Endocrinology and Diabetology, Medical Faculty Düsseldorf, Germany (M.R.); German Center for Diabetes Research (DZD), Munich, Germany (M.R., S.W., M.C.-K., C.H.); Sorbonne Universités, UPMC, INSERM, UMR_S 1166, ICAN Institute for Cardiometabolism and Nutrition, Paris, France (D.-A.T.); Institute of Human Genetics, Technische Universität München, Germany (T.M., P.W., H.P.); ZIK_FunGene, Universität Greifswald, Germany (U.V., G.H.); and Columbia University Medical Center, New York, NY (W.P.).

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:

blood pressure; gene expression; genome-wide association study; hypertension; transcriptome

PMID:
28784648
PMCID:
PMC5997260
DOI:
10.1161/HYPERTENSIONAHA.117.09458
[Indexed for MEDLINE]
Free PMC Article

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