1. Home
  2. Projects Index
  3. LIFE Heart

LIFE Heart

Overview
Description:

The LIFE-Heart study recruited 7,000 patients with suspected coronary heart disease, manifest heart disease or myocardial infarction. All patients received coronary angiography so that the vascular status in the heart is precisely known. In principle, this examination is not feasible in population-related studies. In addition, the patients were thoroughly examined with regard to the general vascular status and the health of the cardiovascular system. Extensive environmental factors were recorded. The cohort is also deeply molecularly and laboratory-medically characterized. These investigations are identical to those in LIFE-Adult, so that there are extensive possibilities for comparison between the cohorts. The LIFE-Heart study is the largest coronary angiographically characterized cohort in Germany and one of the largest worldwide.

Programme: Epidemiology

LHA-ID: 7Q0AQTKU2T-9

Funding codes:
  • EFRE

Public web page: http://life.uni-leipzig.de/

Human Diseases: No Human Disease specified

Leipzig Health Atlas PALs: No PALs for this Project

Project Coordinators: No Project coordinators for this Project

Project start date: 1st Jan 2009

Project Hierarchy
Project Members (show):

Related items

René Hänsel adminproject_administratorasset_housekeeperasset_gatekeeperprogramme_administrator

Projects: Leipzig Health Atlas, LIFE Adult, LIFE- Leipzig Research Center for Civilization Diseases, LIFE Head and Neck Group, Onto-Med Research Group, LIFE Heart, Molecular mechanisms in malignant lymphoma, German Lymphoma Alliance (GLA), Molecular Mechanisms in Malignant Lymphomas - Demonstrators of Personalized Medicine, Individualized model-based managing of the next-cycle thrombopenia of CHOEP/CHOP treated patients based on platelets dynamics during the previous cycles, German Consortium for Hereditary Breast and Ovarian Cancer, German Consortium for Hereditary Non-Polyposis Colorectal Cancer, MMML-MYC-SYS, Natural Language Processing for Clinical Research, LIFE Child, Genomic and transcriptomic heterogeneity of colorectal tumours arising in Lynch syndrome, Footprints of Sepsis Framed Within Community Acquired Pneumonia in the Blood Transcriptome

Institutions: Institute for Medical Informatics, Statistics and Epidemiology

Markus Kreuz project_administratorasset_gatekeeper

Projects: LIFE Head and Neck Group, LIFE- Leipzig Research Center for Civilization Diseases, LIFE Heart, Molecular mechanisms in malignant lymphoma, German Lymphoma Alliance (GLA), MMML-MYC-SYS, German Glioma Network

Institutions: Institute for Medical Informatics, Statistics and Epidemiology

Markus Scholz palproject_administrator

Projects: LIFE Heart, LIFE- Leipzig Research Center for Civilization Diseases, Individualized model-based managing of the next-cycle thrombopenia of CHOEP/CHOP treated patients based on platelets dynamics during the previous cycles, Genetical Statistics and Systems Biology

Institutions: Institute for Medical Informatics, Statistics and Epidemiology

Silke Zachariae asset_housekeeperasset_gatekeeper

Projects: LIFE Heart, LIFE- Leipzig Research Center for Civilization Diseases, German Consortium for Hereditary Breast and Ovarian Cancer, German Consortium for Hereditary Non-Polyposis Colorectal Cancer

Institutions: Institute for Medical Informatics, Statistics and Epidemiology

https://orcid.org/0000-0003-1614-8790
GWAS
LIFE Heart, Genetical Statistics and Systems Biology, LIFE Adult

Supplement Data for Publication including Supplement Material & Results (eQTL annotation, Mendelian Randomization (MR), further significant loci), Figures (correlation plot of steroid hormones, scatter plot of genetic effect sizes, regional association plots, scatter plots of MR) and Tables (Correlations, GWAS summary statistics, interaction tests, MR results)

Snapshots: No snapshots

GWAS Steriod
LIFE Heart, Genetical Statistics and Systems Biology, LIFE Adult

Supplement Data for Publication including Supplement Material & Results (eQTL annotation, Mendelian Randomization (MR), further significant loci), Figures (correlation plot of steroid hormones, scatter plot of genetic effect sizes, regional association plots, scatter plots of MR) and Tables (Correlations, GWAS summary statistics, interaction tests, MR results)

Person responsible: René Hänsel

Snapshots: No snapshots

Supplement Data
LIFE Heart, Genetical Statistics and Systems Biology, LIFE Adult

The primary goal of this study was to identify genetic loci associated with steroid hormone levels (cortisol, DHEA-S, testosterone, estradiol, progesterone, 17-hydroxyprogesterone, androstenedione, and aldosterone). In a secondary analysis, we searched for causal effects of steroid hormones on coronary artery disease.

Contributor: René Hänsel

Assay type: Experimental Assay Type

Technology type: Technology Type

Snapshots: No snapshots

Incremental value of Veterans Specific Activity Questionnaire and the YMCA-step test for the assessment of cardiorespiratory fitness in population-based studies.
LIFE Heart
No description specified

Creator: Silke Zachariae

Contributor: Silke Zachariae

Data file type: Not specified

GWAS_SteroidHormones_SupTables
LIFE Heart, Genetical Statistics and Systems Biology, LIFE Adult
No description specified

Creator: René Hänsel

Contributor: René Hänsel

Data file type: Clinical Data

Download
Genetic association study of eight steroid hormones and implications for sexual dimorphism of coronary artery disease
LIFE Heart, Genetical Statistics and Systems Biology, LIFE Adult

Abstract (Expand)

CONTEXT: Steroid hormones are important regulators of physiological processes in humans and are under genetic control. A link to coronary artery disease (CAD) is supposed. OBJECTIVE: Our main objective …e was to identify genetic loci influencing steroid hormone levels. As secondary aim, we searched for causal effects of steroid hormones on CAD. DESIGN: We conducted genome-wide meta-association studies for eight steroid hormones: cortisol, DHEA-S, estradiol and testosterone in two independent cohorts (LIFE-Adult, LIFE-Heart, max. n=7667), and progesterone, 17-hydroxyprogesterone, androstenedione and aldosterone in LIFE-Heart only (max. n=2070). All genome-wide significant loci were tested for sex interactions. Further, we tested if previously reported CAD SNPs were associated with our steroid hormone panel and investigated causal links between hormone levels and CAD status using Mendelian Randomization (MR) approaches. RESULTS: We discovered 15 novel associated loci for 17-hydroxyprogesterone, progesterone, DHEA-S, cortisol, androstenedione, and estradiol. Five of these loci relate to genes directly involved in steroid metabolism: CYP21A1, CYP11B1, CYP17A1, STS, and HSD17B12, almost completing the set of steroidogenic enzymes with genetic associations. Sexual dimorphisms were found for seven of the novel loci. Other loci correspond, e.g., to the WNT4/β-catenin pathway. MR revealed that cortisol, androstenedione, 17-hydroxyprogesterone and DHEA-S had causal effects on CAD. We also observed enrichment of cortisol and testosterone associations among known CAD hits. CONCLUSION: Our study greatly improves insight into genetic regulation of steroid hormones and their dependency on sex. These results could serve as a basis for analyzing sex-dimorphisms in other complex diseases.

Authors: Janne Pott, YJ. Bae, K. Horn, A. Teren, Andreas Kühnapfel, Toralf Kirsten, U. Ceglarek, Markus Löffler, J. Thiery, J. Kratzsch, Markus Scholz

Date Published: 6th Jun 2019

Journal: Journal of Clinical Endocrinology & Metabolism

Human Diseases: coronary artery disease

Relations between lipoprotein(a) concentrations, LPA genetic variants, and the risk of mortality in patients with established coronary heart disease: a molecular and genetic association study.
LIFE Heart

Abstract (Expand)

BACKGROUND: Lipoprotein(a) concentrations in plasma are associated with cardiovascular risk in the general population. Whether lipoprotein(a) concentrations or LPA genetic variants predict long-term … mortality in patients with established coronary heart disease remains less clear. METHODS: We obtained data from 3313 patients with established coronary heart disease in the Ludwigshafen Risk and Cardiovascular Health (LURIC) study. We tested associations of tertiles of lipoprotein(a) concentration in plasma and two LPA single-nucleotide polymorphisms ([SNPs] rs10455872 and rs3798220) with all-cause mortality and cardiovascular mortality by Cox regression analysis and with severity of disease by generalised linear modelling, with and without adjustment for age, sex, diabetes diagnosis, systolic blood pressure, BMI, smoking status, estimated glomerular filtration rate, LDL-cholesterol concentration, and use of lipid-lowering therapy. Results for plasma lipoprotein(a) concentrations were validated in five independent studies involving 10 195 patients with established coronary heart disease. Results for genetic associations were replicated through large-scale collaborative analysis in the GENIUS-CHD consortium, comprising 106 353 patients with established coronary heart disease and 19 332 deaths in 22 studies or cohorts. FINDINGS: The median follow-up was 9.9 years. Increased severity of coronary heart disease was associated with lipoprotein(a) concentrations in plasma in the highest tertile (adjusted hazard radio [HR] 1.44, 95% CI 1.14-1.83) and the presence of either LPA SNP (1.88, 1.40-2.53). No associations were found in LURIC with all-cause mortality (highest tertile of lipoprotein(a) concentration in plasma 0.95, 0.81-1.11 and either LPA SNP 1.10, 0.92-1.31) or cardiovascular mortality (0.99, 0.81-1.2 and 1.13, 0.90-1.40, respectively) or in the validation studies. INTERPRETATION: In patients with prevalent coronary heart disease, lipoprotein(a) concentrations and genetic variants showed no associations with mortality. We conclude that these variables are not useful risk factors to measure to predict progression to death after coronary heart disease is established. FUNDING: Seventh Framework Programme for Research and Technical Development (AtheroRemo and RiskyCAD), INTERREG IV Oberrhein Programme, Deutsche Nierenstiftung, Else-Kroener Fresenius Foundation, Deutsche Stiftung fur Herzforschung, Deutsche Forschungsgemeinschaft, Saarland University, German Federal Ministry of Education and Research, Willy Robert Pitzer Foundation, and Waldburg-Zeil Clinics Isny.

Authors: S. Zewinger, M. E. Kleber, V. Tragante, R. O. McCubrey, A. F. Schmidt, K. Direk, U. Laufs, C. Werner, W. Koenig, D. Rothenbacher, U. Mons, L. P. Breitling, H. Brenner, R. T. Jennings, I. Petrakis, S. Triem, M. Klug, A. Filips, S. Blankenberg, C. Waldeyer, C. Sinning, R. B. Schnabel, K. J. Lackner, E. Vlachopoulou, O. Nygard, G. F. T. Svingen, E. R. Pedersen, G. S. Tell, J. Sinisalo, M. S. Nieminen, R. Laaksonen, S. Trompet, R. A. J. Smit, N. Sattar, J. W. Jukema, H. V. Groesdonk, G. Delgado, T. Stojakovic, A. P. Pilbrow, V. A. Cameron, A. M. Richards, R. N. Doughty, Y. Gong, R. Cooper-DeHoff, J. Johnson, Markus Scholz, F. Beutner, J. Thiery, J. G. Smith, R. O. Vilmundarson, R. McPherson, A. F. R. Stewart, S. Cresci, P. A. Lenzini, J. A. Spertus, O. Olivieri, D. Girelli, N. I. Martinelli, A. Leiherer, C. H. Saely, H. Drexel, A. Mundlein, P. S. Braund, C. P. Nelson, N. J. Samani, D. Kofink, I. E. Hoefer, G. Pasterkamp, A. A. Quyyumi, Y. A. Ko, J. A. Hartiala, H. Allayee, W. H. W. Tang, S. L. Hazen, N. Eriksson, C. Held, E. Hagstrom, L. Wallentin, A. Akerblom, A. Siegbahn, I. Karp, C. Labos, L. Pilote, J. C. Engert, J. M. Brophy, G. Thanassoulis, P. Bogaty, W. Szczeklik, M. Kaczor, M. Sanak, S. S. Virani, C. M. Ballantyne, V. V. Lee, E. Boerwinkle, M. V. Holmes, B. D. Horne, A. Hingorani, F. W. Asselbergs, R. S. Patel, B. K. Kramer, H. Scharnagl, D. Fliser, W. Marz, T. Speer

Date Published: 2nd Jun 2017

Journal: Lancet Diabetes Endocrinol

Human Diseases: Not specified

Alteration of Multiple Leukocyte Gene Expression Networks is Linked with Magnetic Resonance Markers of Prognosis After Acute ST-Elevation Myocardial Infarction.
LIFE Heart

Abstract (Expand)

Prognostic relevant pathways of leukocyte involvement in human myocardial ischemic-reperfusion injury are largely unknown. We enrolled 136 patients with ST-elevation myocardial infarction (STEMI) after … primary angioplasty within 12 h after onset of symptoms. Following reperfusion, whole blood was collected within a median time interval of 20 h (interquartile range: 15-25 h) for genome-wide gene expression analysis. Subsequent CMR scans were performed using a standard protocol to determine infarct size (IS), area at risk (AAR), myocardial salvage index (MSI) and the extent of late microvascular obstruction (lateMO). We found 398 genes associated with lateMO and two genes with IS. Neither AAR, nor MSI showed significant correlations with gene expression. Genes correlating with lateMO were strongly related to several canonical pathways, including positive regulation of T-cell activation (p = 3.44 x 10(-5)), and regulation of inflammatory response (p = 1.86 x 10(-3)). Network analysis of multiple gene expression alterations associated with larger lateMO identified the following functional consequences: facilitated utilisation and decreased concentration of free fatty acid, repressed cell differentiation, enhanced phagocyte movement, increased cell death, vascular disease and compensatory vasculogenesis. In conclusion, the extent of lateMO after acute, reperfused STEMI correlated with altered activation of multiple genes related to fatty acid utilisation, lymphocyte differentiation, phagocyte mobilisation, cell survival, and vascular dysfunction.

Authors: A. Teren, Toralf Kirsten, F. Beutner, Markus Scholz, L. M. Holdt, D. Teupser, M. Gutberlet, J. Thiery, G. Schuler, I. Eitel

Date Published: 3rd Feb 2017

Journal: Sci Rep

Human Diseases: myocardial infarction

Myocardial Infarction-Associated Circular RNA Predicting Left Ventricular Dysfunction.
LIFE Heart

Abstract

Not specified

Authors: M. Vausort, A. Salgado-Somoza, Rui Zhang, P. Leszek, Markus Scholz, A. Teren, R. Burkhardt, J. Thiery, D. R. Wagner, Y. Devaux

Date Published: 13th Sep 2016

Journal: J Am Coll Cardiol

Human Diseases: left ventricular noncompaction, myocardial infarction

Relationship Between Determinants of Arterial Stiffness Assessed by Diastolic and Suprasystolic Pulse Oscillometry: Comparison of Vicorder and Vascular Explorer.
LIFE Heart

Abstract (Expand)

Pulse wave velocity (PWV) and augmentation index (AI) are independent predictors of cardiovascular health. However, the comparability of multiple oscillometric modalities currently available for their … assessment was not studied in detail. In the present study, we aimed to evaluate the relationship between indices of arterial stiffness assessed by diastolic and suprasystolic oscillometry.In total, 56 volunteers from the general population (23 males; median age 70 years [interquartile range: 65-72 years]) were recruited into observational feasibility study to evaluate the carotid-femoral/aortic PWV (cf/aoPWV), brachial-ankle PWV (baPWV), and AI assessed by 2 devices: Vicorder (VI) applying diastolic, right-sided oscillometry for the determination of all 3 indices, and Vascular explorer (VE) implementing single-point, suprasystolic brachial oscillometry (SSBO) pulse wave analysis for the assessment of cfPWV and AI. Within- and between-device correlations of measured parameters were analyzed. Furthermore, agreement of repeated measurements, intra- and inter-observer concordances were determined and compared for both devices.In VI, both baPWV and cfPWV inter-correlated well and showed good level of agreement with bilateral baPWV measured by VE (baPWV[VI]-baPWV[VE]R: overall concordance correlation coefficient [OCCC] = 0.484, mean difference = 1.94 m/s; cfPWV[VI]-baPWV[VE]R: OCCC = 0.493, mean difference = 1.0 m/s). In contrast, SSBO-derived aortic PWA (cf/aoPWA[VE]) displayed only weak correlation with cfPWV(VI) (r = 0.196; P = 0.04) and ipsilateral baPWV (cf/aoPWV[VE]R-baPWV[VE]R: r = 0.166; P = 0.08). cf/aoPWA(VE) correlated strongly with AI(VE) (right-sided: r = 0.725, P < 0.001). AI exhibited marginal between-device agreement (right-sided: OCCC = 0.298, mean difference: 6.12%). All considered parameters showed good-to-excellent repeatability giving OCCC > 0.9 for 2-point-PWV modes and right-sided AI(VE). Intra- and inter-observer concordances were similarly high except for AI yielding a trend toward better reproducibility in VE (interobserver-OCCC[VI] vs [VE] = 0.774 vs 0.844; intraobserver-OCCC[VI] vs [VE] = 0.613 vs 0.769).Both diastolic oscillometry-derived PWV modes, and AI measured either with VI or VE, are comparable and reliable alternatives for the assessment of arterial stiffness. Aortic PWV assessed by SSBO in VE is not related to the corresponding indices determined by traditional diastolic oscillometry.

Authors: A. Teren, F. Beutner, K. Wirkner, Markus Löffler, Markus Scholz

Date Published: 11th Mar 2016

Journal: Medicine (Baltimore)

Human Diseases: Not specified

GWAS_SteroidHormones_SupData
LIFE Heart, Genetical Statistics and Systems Biology, LIFE Adult

Supplement Data for Publication including Supplement Material & Results (eQTL annotation, Mendelian Randomization (MR), further significant loci), Figures (correlation plot of steroid hormones, scatter plot of genetic effect sizes, regional association plots, scatter plots of MR) and Tables (Correlations, GWAS summary statistics, interaction tests, MR results)

Creator: René Hänsel

Contributor: René Hänsel

Download

Navigate

Leipzig Health Atlas

The Leipzig Health Atlas is an alliance of medical ontologists, medical systems biologists and clinical trials groups to design and implement a multi-functional and quality-assured atlas. It provides models, data and metadata on specific use cases from medical research fields.

Registered Repository

re3data.org Badge
Powered by
 (v.1.9.0)

Navigate

Leipzig Health Atlas

The Leipzig Health Atlas is an alliance of medical ontologists, medical systems biologists and clinical trials groups to design and implement a multi-functional and quality-assured atlas. It provides models, data and metadata on specific use cases from medical research fields.

Registered Repository

re3data.org Badge
Powered by
Seek new full (v.1.8.3)
Leipzig Health Atlas | Funding and Programmes | Credits | Terms & Conditions | Privacy Policy | Imprint
Copyright © 2008 - 2019 The University of Manchester and HITS gGmbH
Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig