Details about this human disease
Synonyms (1)vascular tissue disease
Definitions (1)
A cardiovascular system disease that primarily affects the blood vessels which includes the arteries, veins and capillaries that carry blood to and from the heart.
Related items
The study employed high quality non-mydriatic (i.e. pupil dilation is not required) fundus photography (FP) (Oculus Nidek AFC-230, 45 FOV) and a infra-red reflectance (IR) en face image obtained by scanning laser ophthalmoscope (SLO) (Heidelberg Spectralis, 30 FOV) to produce representative images of the retina and optic nerve. In order to prove the scale invariance property of tortuosity metrics, ophthalmological photographs from 18 subjects, both eyes, were randomly extracted from the ...
Programme: Default Programme
Public web page: https://turing.iimas.unam.mx/scaletort/
Organisms: Not specified
Human Diseases: hypertension
Historic retinal images of subjects with diabetes are scanned and analysed using modern technology. The accuracy of the methods and the usefulness of the findings in the long-term are in the focus. University of Oulu, Department of Ophthalmology/PEDEGO Research Unit 194/2006
Programme: This Project is not associated with a Programme
Public web page: https://www.oulu.fi/mrc/research-groups/falck-hautala
Organisms: Homo sapiens
Human Diseases: diabetic retinopathy
This population-based study examined 10,000 participants randomly selected from the Leipzig population (2011 to 2014). A follow-up is to be carried out from 2017 - 2020. The study mainly included people aged between 40 and 79. All participants underwent a 6-hour study program and people over 60 years of age were invited two more times to in-depth study of cognition and depression and the brain (MRI, EEG). Extensive measurements of genome, metabolome and transcriptome are available. The LIFE-ADULT ...
Programme: LIFE Management Cluster
Public web page: http://life.uni-leipzig.de/en/adults/life_adult.html
Start date: 1st Jan 2009
Organisms: Homo sapiens
Human Diseases: mood disorder, dementia, coronary artery disease, obesity
Example study for people with hypertension or obesity as inclusion criteria. This ontology uses the Core Ontology of Phenotypes as a general phenotypic model.
Submitter: Christoph Beger
Biological problem addressed: Model Analysis Type
Investigation: Phenotype Knowledge Model
Human Diseases: hypertension, obesity
Models: No Models
Data files: OWL representation of the Phenotype Specificati...
Snapshots: No snapshots
We are releasing the summary data from our GWAMA of PCSK9 levels, pending on acceptance of our publication, to empower other researchers to examine variants or loci in which they are interested for associations. These data are intended for research purposes only.
Citation: tba
When using this data acknowledge the source as follows: 'Data on PCSK9 has been downloaded from https://www.health-atlas.de/data_files/551.'
For any enquiries about the datasets, please contact Janne Pott (janne.pott@imise.uni-leipzig.de) ...
Submitter: Janne Pott
Resource type: Experimental Assay Type
Technology type: SNP Array
Investigation: OMICS Investigations
Study: GWAMA PCSK9
We are releasing the summary data from our GWAS of carotid plaque burden traits, pending on acceptance of our publication, to empower other researchers to examine variants or loci in which they are interested for associations. These data are intended for research purposes only.
Citation:
When using this data acknowledge the source as follows: 'Data on carotid plaque burden has been contributed by LIFE-Adult investigators and has been downloaded from https://www.health-atlas.de/assays/31 '
For any ...
Submitter: Janne Pott
Resource type: Genome Wide Association
Technology type: SNP Array
Investigation: OMICS Investigations
Study: GWAS Carotid Plaque Burden
Human Diseases: atherosclerosis, coronary artery disease
Data files: Summary Statistics for CPA_max, Summary Statistics for CPA_mean, Summary Statistics for CPA_sum, Summary Statistics for CPS_max, Summary Statistics for CPS_mean, Summary Statistics for CPS_sum
Snapshots: No snapshots
This assay bundles all synthetic FHIR data of the PhenoMan evaluation. The data arised from a subset of a Synthea(TM) generated data set. We truncated some resource types like Encounter and Provider to reduce the size of the data set and to speed up the import in a FHIR health data store.
Submitter: Christoph Beger
Resource type: Result Dataset of Clinical Study
Technology type: Technology Type
Investigation: Ontology-based Phenotyping
Human Diseases: asthma, bronchial disease, hypertension, obesity
Data files: PhenoMan Evaluation - AllergyIntolerance FHIR R..., PhenoMan Evaluation - Condition FHIR Resources, PhenoMan Evaluation - Observation FHIR Resources, PhenoMan Evaluation - Patient FHIR Resources
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.
Submitter: René Hänsel
Resource type: Experimental Assay Type
Technology type: Technology Type
Investigation: OMICS Investigations
Study: GWAS Steroid Hormones
Human Diseases: coronary artery disease
Data files: GWAS_SteroidHormones_SupTables
Snapshots: No snapshots
Abstract (Expand)
Authors: Michael Rode, Andrej Teren, Kerstin Wirkner, Katrin Horn, Holger Kirsten, Markus Loeffler, Markus Scholz, Janne Pott
Date Published: 13th Aug 2020
Publication Type: Journal article
Human Diseases: arteriosclerosis, arteriosclerotic cardiovascular disease
DOI: 10.1371/journal.pone.0237237
Citation: PLoS ONE 15(8):e0237237
Abstract (Expand)
Authors: J. Pott, F. Beutner, K. Horn, H. Kirsten, K. Olischer, K. Wirkner, M. Loeffler, M. Scholz
Date Published: 30th May 2020
Publication Type: Journal article
Human Diseases: cardiovascular system disease, atherosclerosis
PubMed ID: 32469969
Citation: PLoS One. 2020 May 29;15(5):e0233728. doi: 10.1371/journal.pone.0233728. eCollection 2020.
Abstract (Expand)
Authors: J. 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
Publication Type: Not specified
Human Diseases: coronary artery disease
Abstract (Expand)
Authors: J. Pott, R. Burkhardt, F. Beutner, K. Horn, A. Teren, H. Kirsten, L. M. Holdt, G. Schuler, D. Teupser, M. Loeffler, J. Thiery, M. Scholz
PubMed ID: 28282560
Citation: Atherosclerosis. 2017 Apr;259:32-40. doi: 10.1016/j.atherosclerosis.2017.02.018. Epub 2017 Feb 24.
Abstract (Expand)
Authors: A. Teren, H. Kirsten, F. Beutner, M. Scholz, L. M. Holdt, D. Teupser, M. Gutberlet, J. Thiery, G. Schuler, I. Eitel
Date Published: 3rd Feb 2017
Publication Type: Journal article
Human Diseases: myocardial infarction
PubMed ID: 28155873
Citation: Sci Rep. 2017 Feb 3;7:41705. doi: 10.1038/srep41705.
Abstract (Expand)
Authors: Rui Zhang, Frauke Beyer, L. Lampe, T. Luck, S. G. Riedel-Heller, M. Stumvoll, Markus Löffler, M. L. Schroeter, A. Villringer, A. V. Witte
Date Published: 2017
Publication Type: Not specified
Human Diseases: diabetes mellitus, obesity, hypertension
DOI: 10.1159/000480486
Citation:
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, M. Scholz, T. Tukiainen, C. Willenborg, H. H. Won, L. Zeng, W. 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
Date Published: 12th Oct 2016
Publication Type: Journal article
Human Diseases: coronary artery disease
PubMed ID: 27731410
Citation: Sci Rep. 2016 Oct 12;6:35278. doi: 10.1038/srep35278.
Abstract
Authors: M. Vausort, A. Salgado-Somoza, L. Zhang, P. Leszek, M. Scholz, A. Teren, R. Burkhardt, J. Thiery, D. R. Wagner, Y. Devaux
Date Published: 13th Sep 2016
Publication Type: Journal article
Human Diseases: left ventricular noncompaction, myocardial infarction
PubMed ID: 27609688
Citation: J Am Coll Cardiol. 2016 Sep 13;68(11):1247-1248. doi: 10.1016/j.jacc.2016.06.040.
Abstract (Expand)
Authors: A. Weissgerber, M. Scholz, A. Teren, M. Sandri, D. Teupser, S. Gielen, J. Thiery, G. Schuler, F. Beutner
Date Published: 13th Sep 2015
Publication Type: Not specified
Human Diseases: coronary artery disease, atherosclerosis
PubMed ID: 26362881
Citation: Clin Res Cardiol. 2016 Feb;105(2):172-81. doi: 10.1007/s00392-015-0900-x. Epub 2015 Sep 11.
Abstract (Expand)
Authors: M. Loeffler, C. Engel, P. Ahnert, D. Alfermann, K. Arelin, R. Baber, F. Beutner, H. Binder, E. Brahler, R. Burkhardt, U. Ceglarek, C. Enzenbach, M. Fuchs, H. Glaesmer, F. Girlich, A. Hagendorff, M. Hantzsch, U. Hegerl, S. Henger, T. Hensch, A. Hinz, V. Holzendorf, D. Husser, A. Kersting, A. Kiel, T. Kirsten, J. Kratzsch, K. Krohn, T. Luck, S. Melzer, J. Netto, M. Nuchter, M. Raschpichler, F. G. Rauscher, S. G. Riedel-Heller, C. Sander, M. Scholz, P. Schonknecht, M. L. Schroeter, J. C. Simon, R. Speer, J. Staker, R. Stein, Y. Stobel-Richter, M. Stumvoll, A. Tarnok, A. Teren, D. Teupser, F. S. Then, A. Tonjes, R. Treudler, A. Villringer, A. Weissgerber, P. Wiedemann, S. Zachariae, K. Wirkner, J. Thiery
Date Published: 22nd Jul 2015
Publication Type: Not specified
Human Diseases: disease of mental health, mental depression, vascular disease, allergic hypersensitivity disease, sleep disorder, retinal degeneration
PubMed ID: 26197779
Citation: BMC Public Health. 2015 Jul 22;15:691. doi: 10.1186/s12889-015-1983-z.
SCALE-TORT database contains a total of 226 FP/IR paired arterial vessel curves and 245 FP/IR paired vein vessel curves, all 471 paried curves where semiautomatically extracted from the original images.
- Folder 'im_arteries' with: 1.1 226 croped images from FP of retinal arteries 1.2 226 croped images from IR of retinal arteries
- Folder 'im_veins' with: 2.1. 245 croped images from FP of retinal veins 2.2. 245 croped images from IR of retinal veins
- Matlab structure for arteries annotations ...
Creators: None
Submitter: Zian Fanti Gutiérrez
Data file type: Clinical Data
Human Diseases: hypertension
Investigations: 1 hidden item
Studies: 1 hidden item
Resources: 1 hidden item
Creators: Alexandr Uciteli, Christoph Beger, Toralf Kirsten, Heinrich Herre, Franz Matthies, Ralph Schäfermeier
Submitter: Christoph Beger
Data file type: Not specified
Human Diseases: obesity, hypertension
Investigations: Phenotype Knowledge Model
Studies: Ontology-based Phenotype Knowledge Model
Resources: Example Phenotype Specification Ontology for In...
Summary statistics from GWAMA of PCSK9 levels. These data are intended for research purposes only, and available upon publication. For any enquiries about the datasets, please contact Janne Pott (janne.pott@imise.uni-leipzig.de) or Markus Scholz (markus.scholz@imise.uni-leipzig.de).
Citation: tba
When using this data acknowledge the source as follows: 'Data on PCSK9 has been downloaded from https://www.health-atlas.de/data_files/551'
We make three data sets available:
- Containing statistics ...
Creator: Janne Pott
Submitter: Janne Pott
Data file type: Not specified
Human Diseases: atherosclerosis
This data file contains FHIR bundles of observation resources, which were used for the evaluation of the PhenoMan. Originally the observation data were generated with Synthea(TM) and truncated to reduce overall size and import times into a HAPI FHIR JPA Server. Please import the patient resources prior to the observations.
This data file contains 8,026,380 observations.
Creators: Alexandr Uciteli, Christoph Beger
Submitter: Christoph Beger
Data file type: Clinical Data
Human Diseases: obesity, bronchial disease, asthma, hypertension
Investigations: Ontology-based Phenotyping
Studies: PhenoMan Evaluation with Synthetic FHIR Data
Resources: PhenoMan Evaluation - Synthetic FHIR Data
This data file contains FHIR bundles of patient resources, which were used for the evaluation of the PhenoMan. Originally the patient data were generated with Synthea(TM) and truncated to reduce overall size and import times into a HAPI FHIR JPA Server.
This data file contains 66,018 patients.
Creators: Alexandr Uciteli, Christoph Beger
Submitter: Christoph Beger
Data file type: Clinical Data
Human Diseases: obesity, bronchial disease, asthma, hypertension
Investigations: Ontology-based Phenotyping
Studies: PhenoMan Evaluation with Synthetic FHIR Data
Resources: PhenoMan Evaluation - Synthetic FHIR Data
This data file contains FHIR bundles of allergy intolerance resources, which were used for the evaluation of the PhenoMan. Originally the allergy intolerance data were generated with Synthea(TM) and truncated to reduce overall size and import times into a HAPI FHIR JPA Server. Please import the patient resources prior to the allergy intolerances.
This data file contains 563 allergy intolerances.
Creators: Alexandr Uciteli, Christoph Beger
Submitter: Christoph Beger
Data file type: Clinical Data
Human Diseases: obesity, bronchial disease, asthma, hypertension
Investigations: Ontology-based Phenotyping
Studies: PhenoMan Evaluation with Synthetic FHIR Data
Resources: PhenoMan Evaluation - Synthetic FHIR Data
This data file contains FHIR bundles of condition resources, which were used for the evaluation of the PhenoMan. Originally the condition data were generated with Synthea(TM) and truncated to reduce overall size and import times into a HAPI FHIR JPA Server. Please import the patient resources prior to the conditions.
This data file contains 139,763 conditions.
Creators: Alexandr Uciteli, Christoph Beger
Submitter: Christoph Beger
Data file type: Clinical Data
Human Diseases: obesity, bronchial disease, asthma, hypertension
Investigations: Ontology-based Phenotyping
Studies: PhenoMan Evaluation with Synthetic FHIR Data
Resources: PhenoMan Evaluation - Synthetic FHIR Data