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- Data files (163)
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- Human Diseases (13)
This project serves as a container for all COVID-19 related assets, developed at the University of Leipzig and its partners.
Organisms: Homo sapiens, Severe acute respiratory syndrome coronavirus 2
Human Diseases: COVID-19
Goal of the Leipzig Research Center for Civilization Diseases (LIFE) is the investigation of civilization diseases like depression, diabetes, allergies or cardiovascular diseases. For this purpose we collect as much data as possible regarding health and living conditions of the population in Leipzig and provide these data for scientists of the University of Leipzig and other research institutions.
As an interdisciplinary network of scientists, the SepNet study group deals with the topics of severe sepsis and septic shock. The aim of the network is to create the prerequisites for better clinical and experimental research into sepsis and thus to develop efficient treatment approaches.
Programme: Epidemiology
Public web page: https://www.sepsis-stiftung.eu/sepnet/
Start date: 1st Jan 2003
Organisms: Homo sapiens
Human Diseases: disease by infectious agent
The German Consortium for Hereditary Non-Polyposis Colorectal Cancer has been founded in 1999 by the German Cancer Aid and has been funded by the German Cancer Aid until recently. GC-HNPCC currently comprises 6 university centers providing genetic counseling, histopathological and molecular tissue analysis, genetic testing, and specific structured surveillance programs for early cancer detection at each clinical unit, all based on defined standard operating procedures.
Programme: Epidemiology
Public web page: https://www.imise.uni-leipzig.de/institut/Projekte/Verbundprojekt-Familiaerer-Darmkrebs
Start date: 1st Jan 1999
Organisms: Not specified
Human Diseases: Lynch syndrome
The German Consortium for Hereditary Breast and Ovarian Cancer HBOC has been founded in 1996 by the German Cancer Aid and has been funded by the German Cancer Aid until recently. GC-HBOC currently comprises 17 university centers providing genetic counseling, histopathological and molecular tissue analysis, genetic testing, and specific structured surveillance programs for early cancer detection at each clinical unit, all based on defined standard operating procedures.
Programme: Epidemiology
Public web page: http://www.konsortium-familiaerer-brustkrebs.de/
Start date: 1st Jan 1996
Organisms: Not specified
Human Diseases: hereditary breast ovarian cancer syndrome
Resutls of different OMICS-level using LIFE Adult and LIFE Heart data are presented (Publications, Supplemental Data, & Summary Statistics).
Snapshots: No snapshots
Snapshots: No snapshots
Studies: Covid-19 Data Source Research
Resources: Covid-19 Data Sources Germany, Covid-19 Data Sources worldwide
Severe sepsis and septic shock have a high mortality. Research has concentrated on adjunctive sepsis therapies; the role of supportive measures is comparatively unclear. In Europe the use of colloids is widespread, but there is no evidence on the role of either crystalloid or colloid volume therapy in sepsis. Recently, a higher incidence of kidney failure in sepsis was reported after administration of colloids.
Snapshots: No snapshots
Studies: VISEP
Resources: VISEP metadata, VISEP trial data
Snapshots: No snapshots
Studies: MAXSEP
Resources: MAXSEP Trial Data, MAXSEP Trial Metadata
Snapshots: No snapshots
Studies: SISPCT
Resources: SISPCT Trail Data, SISPCT Trail Metadata
Summary statistics of Meta-GWAS results will be made available upon acceptance of our manuscript.
Investigation: OMICS Investigations
Resources: No Resources
Investigation: Covid-19
Resources: Covid-19 Data Sources Germany, Covid-19 Data Sources worldwide
We analysed if measuring PWV in different segments of the body leads to association with different genetic variants, as well as different heritability and different genetic correlation with other biological traits. Furthermore we searched for shared genetic architecture concerning PWV, blood pressure (BP) and coronary artery disease (CAD) and examined the causal relationship between PWV and BP.
Investigation: OMICS Investigations
Resources: Summary Statistic for PWV GWAS
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.
Investigation: OMICS Investigations
Resources: Summary Statistics
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)
Investigation: OMICS Investigations
Resources: Summary Statistics, Supplement Data
Submitter: René Hänsel
Resource type: Experimental Assay Type
Technology type: Technology Type
Snapshots: No snapshots
Investigation: Covid-19
Study: Covid-19 Data Source Research
Organisms: No organisms
Human Diseases: COVID-19
SOPs: No SOPs
Data files: ECDC COVID-19 Data, JHU COVID-19 Data
Submitter: René Hänsel
Resource type: Experimental Assay Type
Technology type: Technology Type
Snapshots: No snapshots
Investigation: Covid-19
Study: Covid-19 Data Source Research
Organisms: Homo sapiens
Human Diseases: COVID-19
SOPs: No SOPs
Data files: RKI COVID-19 Data, RKI COVID-19 Data German districts, RKI COVID-19 Data for German federal states
Summary statistics from GWAS of baPWV, bfPWV, cfPWV
All samples (adjusted for age, sex and log_sys)
These data is intended for research purposes only.
Citation: tbc
When using this data acknowledge the source as follows: 'Data on PWV has been contributed by LIFE-Adult investigators and has been downloaded from https://www.health-atlas.de/assays/34'
For any enquiries about the datasets, please contact Michael Rode (michael.rode@imise.uni-leipzig.de) or Markus Scholz (markus.scholz@imise.uni-leipzig.de)
...
Submitter: Michael Rode
Resource type: Genome Wide Association
Technology type: SNP Array
Snapshots: No snapshots
Investigation: OMICS Investigations
Study: GWAS Pulse Wave Velocity
Organisms: No organisms
Human Diseases: No human diseases
SOPs: No SOPs
Data files: PWV summary statistics
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
Snapshots: No snapshots
Investigation: OMICS Investigations
Study: GWAS Carotid Plaque Burden
Organisms: No organisms
Human Diseases: atherosclerosis, coronary artery disease
SOPs: No SOPs
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
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
...
Submitter: Janne Pott
Resource type: Genome Wide Association
Technology type: SNP Array
Snapshots: No snapshots
Investigation: OMICS Investigations
Study: GWAS Steroid Hormones
Organisms: No organisms
Human Diseases: No human diseases
SOPs: No SOPs
Data files: Summary Statistics for 17-OH-Progesterone, Summary Statistics for Aldosterone, Summary Statistics for Androstenedione, Summary Statistics for Cortisol, Summary Statistics for DHEAS, Summary Statistics for Estradiol, Summary Statistics for Progesterone, Summary Statistics for Testosterone
Abstract (Expand)
Authors: Nasim Mavaddat, Antonis C. Antoniou, Thea M. Mooij, Maartje J. Hooning, Bernadette A. Heemskerk-Gerritsen, Catherine Noguès, Marion Gauthier-Villars, Olivier Caron, Paul Gesta, Pascal Pujol, Alain Lortholary, Daniel Barrowdale, Debra Frost, D. Gareth Evans, Louise Izatt, Julian Adlard, Ros Eeles, Carole Brewer, Marc Tischkowitz, Alex Henderson, Jackie Cook, Diana Eccles, Klaartje van Engelen, Marian J. E. Mourits, Margreet G. E. M. Ausems, Linetta B. Koppert, John L. Hopper, Esther M. John, Wendy K. Chung, Irene L. Andrulis, Mary B. Daly, Saundra S. Buys, Javier Benitez, Trinidad Caldes, Anna Jakubowska, Jacques Simard, Christian F. Singer, Yen Tan, Edith Olah, Marie Navratilova, Lenka Foretova, Anne-Marie Gerdes, Marie-José Roos-Blom, Flora E. van Leeuwen, Brita Arver, Håkan Olsson, Rita K. Schmutzler, Christoph Engel, Karin Kast, Kelly-Anne Phillips, Mary Beth Terry, Roger L. Milne, David E. Goldgar, Matti A. Rookus, Nadine Andrieu, Douglas F. Easton
Date Published: 1st Dec 2020
Publication Type: Journal article
Human Diseases: hereditary breast ovarian cancer syndrome
DOI: 10.1186/s13058-020-1247-4
Citation: Breast Cancer Res 22(1),8
Abstract
Authors: Nasim Mavaddat, Antonis C. Antoniou, Thea M. Mooij, Maartje J. Hooning, Bernadette A. Heemskerk-Gerritsen, Catherine Noguès, Marion Gauthier-Villars, Olivier Caron, Paul Gesta, Pascal Pujol, Alain Lortholary, Daniel Barrowdale, Debra Frost, D. Gareth Evans, Louise Izatt, Julian Adlard, Ros Eeles, Carole Brewer, Marc Tischkowitz, Alex Henderson, Jackie Cook, Diana Eccles, Klaartje van Engelen, Marian J. E. Mourits, Margreet G. E. M. Ausems, Linetta B. Koppert, John L. Hopper, Esther M. John, Wendy K. Chung, Irene L. Andrulis, Mary B. Daly, Saundra S. Buys, Javier Benitez, Trinidad Caldes, Anna Jakubowska, Jacques Simard, Christian F. Singer, Yen Tan, Edith Olah, Marie Navratilova, Lenka Foretova, Anne-Marie Gerdes, Marie-José Roos-Blom, Flora E. van Leeuwen, Brita Arver, Håkan Olsson, Rita K. Schmutzler, Christoph Engel, Karin Kast, Kelly-Anne Phillips, Mary Beth Terry, Roger L. Milne, David E. Goldgar, Matti A. Rookus, Nadine Andrieu, Douglas F. Easton
Date Published: 1st Dec 2020
Publication Type: Journal article
Human Diseases: hereditary breast ovarian cancer syndrome
DOI: 10.1186/s13058-020-01259-w
Citation: Breast Cancer Res 22(1),25
Abstract (Expand)
Authors: M. Gorski, B. Jung, Y. Li, P. R. Matias-Garcia, M. Wuttke, S. Coassin, C. H. L. Thio, M. E. Kleber, T. W. Winkler, V. Wanner, J. F. Chai, A. Y. Chu, M. Cocca, M. F. Feitosa, S. Ghasemi, A. Hoppmann, K. Horn, M. Li, T. Nutile, M. Scholz, K. B. Sieber, A. Teumer, A. Tin, J. Wang, B. O. Tayo, T. S. Ahluwalia, P. Almgren, S. J. L. Bakker, B. Banas, N. Bansal, M. L. Biggs, E. Boerwinkle, E. P. Bottinger, H. Brenner, R. J. Carroll, J. Chalmers, M. L. Chee, M. L. Chee, C. Y. Cheng, J. Coresh, M. H. de Borst, F. Degenhardt, K. U. Eckardt, K. Endlich, A. Franke, S. Freitag-Wolf, P. Gampawar, R. T. Gansevoort, M. Ghanbari, C. Gieger, P. Hamet, K. Ho, E. Hofer, B. Holleczek, V. H. Xian Foo, N. Hutri-Kahonen, S. J. Hwang, M. A. Ikram, N. S. Josyula, M. Kahonen, C. C. Khor, W. Koenig, H. Kramer, B. K. Kramer, B. Kuhnel, L. A. Lange, T. Lehtimaki, W. Lieb, R. J. F. Loos, M. A. Lukas, L. P. Lyytikainen, C. Meisinger, T. Meitinger, O. Melander, Y. Milaneschi, P. P. Mishra, N. Mononen, J. C. Mychaleckyj, G. N. Nadkarni, M. Nauck, K. Nikus, B. Ning, I. M. Nolte, M. L. O'Donoghue, M. Orho-Melander, S. A. Pendergrass, B. W. J. H. Penninx, M. H. Preuss, B. M. Psaty, L. M. Raffield, O. T. Raitakari, R. Rettig, M. Rheinberger, K. M. Rice, A. R. Rosenkranz, P. Rossing, J. I. Rotter, C. Sabanayagam, H. Schmidt, R. Schmidt, B. Schottker, C. A. Schulz, S. Sedaghat, C. M. Shaffer, K. Strauch, S. Szymczak, K. D. Taylor, J. Tremblay, L. Chaker, P. van der Harst, P. J. van der Most, N. Verweij, U. Volker, M. Waldenberger, L. Wallentin, D. M. Waterworth, H. D. White, J. G. Wilson, T. Y. Wong, M. Woodward, Q. Yang, M. Yasuda, L. M. Yerges-Armstrong, Y. Zhang, H. Snieder, C. Wanner, C. A. Boger, A. Kottgen, F. Kronenberg, C. Pattaro, I. M. Heid
Date Published: 30th Oct 2020
Publication Type: Journal article
PubMed ID: 33137338
Citation: Kidney Int. 2020 Oct 30. pii: S0085-2538(20)31239-4. doi: 10.1016/j.kint.2020.09.030.
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: Neda Baniasadi, Franziska G. Rauscher, Dian Li, Mengyu Wang, Eun Young Choi, Hui Wang, Thomas Peschel, Kerstin Wirkner, Toralf Kirsten, Joachim Thiery, Christoph Engel, Markus Loeffler, Tobias Elze
Date Published: 3rd Aug 2020
Publication Type: Journal article
DOI: 10.1167/tvst.9.9.23
Citation: Trans. Vis. Sci. Tech. 9(9):23
Risklayer Explorer is a collaboration between Risklayer GmbH and the Karlsruhe Institute of Technology's Center for Disaster Risk Management and Risk Reduction Technology (CEDM).
Creator: René Hänsel
Submitter: René Hänsel
Data file type: Geographical Data
Human Diseases: COVID-19
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
A dataset with information on cancer history, mutation status and surveillance history for more than 100 000 study patients is provided in i2b2 (Informatics for Integrating Biology and the Bedside, http://www.i2b2.org/software). Members of the German Consortium for Hereditary Breast and Ovarian Cancer can request access to i2b2 and will be able to perform database queries independently, e.g. with regard to identify suitable patient populations for scientific evaluation projects.
Creators: Christoph Engel, Silke Zachariae
Submitter: René Hänsel
Data file type: Clinical Data
Human Diseases: hereditary breast ovarian cancer syndrome
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
All studies and research projects those data are hosted by the Leipzig Health Atlas should follow the FAIR standard. Thus, data are findable, accessible, interoperable, and reusable. To follow the FAIR standard, all data need to be described by rich metadata, on the technical and semantical level. These metadata can then be used to query and search for data elements in a single study or over all studies.
We provide the LHA data portal allowing to searching and accessing data elements in single
...
Creator: Toralf Kirsten
Submitter: René Hänsel
Model type: Not specified
Model format: Not specified
Environment: Not specified
Organism: Not specified
Human Disease: Not specified
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
Creators: Christoph Engel, Silke Zachariae
Submitter: Silke Zachariae
Model type: Not specified
Model format: R package
Environment: Shiny
Organism: Homo sapiens
Human Disease: breast cancer
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
The Covid‐19 viewer provides an intuitive tool to monitor the development of the pandemic in 188 countries using simple plots. The tool is interactive and enables the user to select different plots for single countries, groups or all of them. It visualizes descriptive features such as slopes or flattening behaviour of epidemic numbers and of their increments to allow a qualitative justification of the current state of the pandemic, e.g. whether it is growing exponentially, stopped due to counter
...
Creators: Hans Binder, Henry Löffler-Wirth
Submitter: Henry Löffler-Wirth
Model type: Not specified
Model format: R package
Environment: Shiny
Organism: Severe acute respiratory syndrome coronavirus 2
Human Disease: COVID-19
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
Depending on the calculated mutation probability genetic counsellors can decide whether patients should undergo further analysis of microsatellite instability and immunohistochemistry. The model is recommended for patients with an age at colorectal cancer diagnosis of 55 or younger.
"MMRpredict" is a risk prediction model for patients with colorectal cancer (Barnetson et al. 2006). It calculates the risk of having a mutation in the mismatch repair genes MLH1, MSH2 and MSH6 (overall probability)
...
Creators: Christoph Engel, Silke Zachariae
Submitter: Silke Zachariae
Model type: Not specified
Model format: R package
Environment: Shiny
Organism: Homo sapiens
Human Disease: colorectal cancer
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
The PREMM1,2,6 has been developed as a pretest to decide whether patients suspected of having Lynch syndrome should be tested for germline mismatch repair gene mutations.
"PREMM1,2,6" is a logistic regression model. It calculates the risk of having a mutation in the mismatch repair genes MLH1, MSH2 and MSH6 (for single genes and overall) based on the personal and familial cancer history of the proband (colorectal, endometrial, and other Lynch syndrome related cancers).
Creators: Silke Zachariae, Christoph Engel, Kastrinos et al.
Submitter: Silke Zachariae
Model type: Not specified
Model format: R package
Environment: Shiny
Organism: Homo sapiens
Human Disease: hereditary breast ovarian cancer syndrome
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
Summary of the current COVID-19 pandemic development in Leipzig and Saxony.
Creators: Markus Löffler, Markus Scholz, Peter Ahnert, Anne Dietrich, Dirk Hasenclever, Matthias Horn, Yuri Kheifetz, Holger Kirsten, Tyll Krüger, Sibylle Schirm
Submitter: Christoph Beger
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
Summary of the current COVID-19 pandemic development in Leipzig and Saxony.
Creators: Markus Löffler, Markus Scholz, Peter Ahnert, Dirk Hasenclever, Matthias Horn, Yuri Kheifetz, Holger Kirsten, Sibylle Schirm
Submitter: Christoph Beger
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
Summary of the current COVID-19 pandemic development in Leipzig and Saxony.
Creators: Markus Löffler, Markus Scholz, Peter Ahnert, Dirk Hasenclever, Matthias Horn, Yuri Kheifetz, Holger Kirsten, Sibylle Schirm
Submitter: Christoph Beger
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
Summary of the current COVID-19 pandemic development in Leipzig and Saxony.
Creators: Markus Scholz, Markus Löffler, Peter Ahnert, Matthias Horn, Yuri Kheifetz, Holger Kirsten, Kolja Nenoff, Sibylle Schirm
Submitter: Christoph Beger
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
Summary of the current COVID-19 pandemic development in Leipzig and Saxony.
Creators: Markus Löffler, Markus Scholz, Peter Ahnert, Matthias Horn, Yuri Kheifetz, Holger Kirsten, Kolja Nenoff, Sibylle Schirm
Submitter: Christoph Beger
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
Projects: LIFE Adult, LIFE - Leipzig Research Center for Civilization Diseases, GC-HBOC - German Consortium for Hereditary Breast and Ovarian Cancer, GC-HNPCC - German Consortium for Hereditary Non-Polyposis Colorectal Cancer
Institutions: Institute for Medical Informatics, Statistics and Epidemiology

Expertise: hereditary cancer, biometry, epidemiology
Start Date: 30th Jan 2020
End Date: 30th Jan 2020
Event Website: https://conference.uni-leipzig.de/researchfestival/
Country: Germany
City: Leipzig
Start Date: 6th Mar 2019
End Date: 8th Mar 2019
Event Website: https://www.gfhev.de/de/kongress/index.htm
Country: Germany
City: Weimar
Taxonomy URI: http://purl.obolibrary.org/obo/DOID_0080600
Synonyms: 2019-nCoV infection, 2019 Novel Coronavirus (2019-nCoV), Wuhan seafood market pneumonia virus infection, Wuhan coronavirus infection
Definitions: A Coronavirus infection that is characterized by fever, cough and shortness of breath and that has_material_basis_in SARS-CoV-2.
Taxonomy URI: http://purl.obolibrary.org/obo/DOID_3883
Synonyms: Hereditary Defective Mismatch Repair syndrome, COCA 1, HNPCC - hereditary nonpolyposis colon cancer, hereditary nonpolyposis colorectal neoplasm, hereditary non-polyposis colon cancer type 1, hereditary nonpolyposis colorectal cancer
Definitions: An autosomal dominant disease that is characterized by an increased risk for colon cancer and cancers of the endometrium, ovary, stomach, small intestine, hepatobiliary tract, urinary tract, brain, and skin and has_material_basis_in mutation of mismatch repair genes that increases the risk of many types of cancers., OMIM mapping confirmed by DO. [SN].
Taxonomy URI: http://purl.obolibrary.org/obo/DOID_0050117
Synonyms: infectious disease
Definitions: A disease that is the consequence of the presence of pathogenic microbial agents, including pathogenic viruses, pathogenic bacteria, fungi, protozoa, multicellular parasites, and aberrant proteins known as prions.
Taxonomy URI: http://purl.obolibrary.org/obo/DOID_9970
Definitions: OMIM mapping confirmed by DO. [SN].
Taxonomy URI: http://purl.obolibrary.org/obo/DOID_3393
Synonyms: Coronary disease, coronary heart disease, CHD (coronary heart disease), coronary arteriosclerosis
Definitions: Xref MGI., An artery disease that is characterized by plaque building up along the inner walls of the arteries of the heart resulting in a narrowing of the arteries and a reduced blood supply to the cardiac muscles.