LIFE Heart
OverviewThe 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: Cardiovascular system disease
Leipzig Health Atlas PALs: No PALs for this Project
Project Coordinators: No Project coordinators for this Project
Project start date: 1st Jan 2009
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Projects: Leipzig Health Atlas, LIFE Adult, LIFE- Leipzig Research Center for Civilization Diseases, LIFE Head and Neck Cancer 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, Genetical Statistics and Systems Biology, German Competence Network Sepsis (SepNet), 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, ProstataCA
Institutions: Institute for Medical Informatics, Statistics and Epidemiology
https://orcid.org/0000-0001-8344-0658
Projects: LIFE Head and Neck Cancer 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
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
Markus Scholz
Scientific Speaker Institution
Institut für Medizinische Informatik, Statistik und Epidemiologie
Universität Leipzig
Härtelstraße 16-18
04107 Leipzig
Projects: LIFE Adult, LIFE- Leipzig Research Center for Civilization Diseases, LIFE Heart, 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
Different GWAS results using LIFE Adult and LIFE Heart data are presented (Publication, Supplemental Data, & Summary Statistics).
Snapshots: No snapshots
We defined six operationalizations of CPB considering plaques in common carotid arteries, carotid bulb, and internal carotid arteries (maximal plaque area, mean plaque area, sum of plaque areas at all six regions, maximal degree of stenosis, mean degree of stenosis, and sum of stenosis at all six regions).
Link to publication (PMID, DOI), Supplemental Figures and Tables, and Summary Statistics of GWAS will be made available upon acceptance of our manuscript.
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)
We are releasing the summary data from our meta-analyses of steroid hormones, to empower other researchers to examine variants or loci in which they are interested for association with these hormonal traits. These data are intended for research purposes only.
Citation:
Pott et al. (2019) Genetic Association Study of Eight Steroid Hormones and Implications for Sexual Dimorphism of Coronary Artery Disease. J Clin Endocrinol Metab 104: 5008–5023. PubMed ID: 31169883
When using this data acknowledge
...
Contributor: Janne Pott
Assay type: Genome Wide Association
Technology type: SNP Array
Snapshots: No snapshots
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
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Abstract (Expand)
Authors: Janne Pott, YJ. Bae, K. Horn, A. Teren, Andreas Kühnapfel, H. 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
Abstract (Expand)
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
Abstract (Expand)
Authors: A. Teren, Toralf Kirsten, F. Beutner, Markus Scholz, L. M. Holdt, D. Teupser, M. Gutberlet, J. Thiery, G. Schuler, I. Eitel
Abstract (Expand)
Authors: C. Loley, M. Alver, T. L. Assimes, A. Bjonnes, A. Goel, S. Gustafsson, J. Hernesniemi, J. C. Hopewell, S. Kanoni, M. E. Kleber, K. W. Lau, Y. Lu, L. P. Lyytikainen, C. P. Nelson, M. Nikpay, L. Qu, E. Salfati, Markus Scholz, T. Tukiainen, C. Willenborg, H. H. Won, L. Zeng, Rui Zhang, S. S. Anand, F. Beutner, E. P. Bottinger, R. Clarke, G. Dedoussis, R. Do, T. Esko, M. Eskola, M. Farrall, D. Gauguier, V. Giedraitis, C. B. Granger, A. S. Hall, A. Hamsten, S. L. Hazen, J. Huang, M. Kahonen, T. Kyriakou, R. Laaksonen, L. Lind, C. Lindgren, P. K. Magnusson, E. Marouli, E. Mihailov, A. P. Morris, K. Nikus, N. Pedersen, L. Rallidis, V. Salomaa, S. H. Shah, A. F. Stewart, J. R. Thompson, P. A. Zalloua, J. C. Chambers, R. Collins, E. Ingelsson, C. Iribarren, P. J. Karhunen, J. S. Kooner, T. Lehtimaki, R. J. Loos, W. Marz, R. McPherson, A. Metspalu, M. P. Reilly, S. Ripatti, D. K. Sanghera, J. Thiery, H. Watkins, P. Deloukas, S. Kathiresan, N. J. Samani, H. Schunkert, J. Erdmann, I. R. Konig
Abstract
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
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
