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- René Hänsel
Health Atlas ID: 7W0F9NVPXN-6
Location:
Germany
Expertise: Data Management, Data analysis, Python, Html
Tools: Not specified





Project roles
Project administrator
- MMML Demonstrators - Molecular Mechanisms in Malignant Lymphomas - Demonstrators of Personalized Medicine
- COVID-19 Leipzig
Asset gatekeeper
Asset housekeeper

LHA - Leipzig Health Atlas (Institute for Medical Informatics, Statistics and Epidemiology) ; COVID-19 Leipzig (Institute for Medical Informatics, Statistics and Epidemiology)
LIFE Adult (Institute for Medical Informatics, Statistics and Epidemiology) ; LIFE HNC - Head and Neck Cancer Group (Institute for Medical Informatics, Statistics and Epidemiology) ; LIFE - Leipzig Research Center for Civilization Diseases (Institute for Medical Informatics, Statistics and Epidemiology) ; LIFE Child (Institute for Medical Informatics, Statistics and Epidemiology) ; GLA - German Lymphoma Alliance (Institute for Medical Informatics, Statistics and Epidemiology) ; MMML-MYC-SYS (Institute for Medical Informatics, Statistics and Epidemiology) ; HNPCC-Sys - Genomic and transcriptomic heterogeneity of colorectal tumours arising in Lynch syndrome (Institute for Medical Informatics, Statistics and Epidemiology) ; MMML Demonstrators - Molecular Mechanisms in Malignant Lymphomas - Demonstrators of Personalized Medicine (Institute for Medical Informatics, Statistics and Epidemiology) ; CAPSys - Footprints of Sepsis Framed Within Community Acquired Pneumonia in the Blood Transcriptome (Institute for Medical Informatics, Statistics and Epidemiology) ; HaematoOpt - Individualized model-based managing of the next-cycle thrombopenia of CHOEP/CHOP treated patients based on platelets dynamics during the previous cycles (Institute for Medical Informatics, Statistics and Epidemiology) ; MMML - Molecular mechanisms in malignant lymphoma (Institute for Medical Informatics, Statistics and Epidemiology) ; GC-HNPCC - German Consortium for Hereditary Non-Polyposis Colorectal Cancer (Institute for Medical Informatics, Statistics and Epidemiology) ; GC-HBOC - German Consortium for Hereditary Breast and Ovarian Cancer (Institute for Medical Informatics, Statistics and Epidemiology) ; NLP4CR - Natural Language Processing for Clinical Research (Institute for Medical Informatics, Statistics and Epidemiology) ; LIFE Heart (Institute for Medical Informatics, Statistics and Epidemiology) ; ProstataCA (Institute for Medical Informatics, Statistics and Epidemiology) ; SepNet - German Competence Network Sepsis (Institute for Medical Informatics, Statistics and Epidemiology) ; Genetical Statistics and Systems Biology (Institute for Medical Informatics, Statistics and Epidemiology) ; GGN - German Glioma Network (Institute for Medical Informatics, Statistics and Epidemiology) ; SMITH - Smart Medical Information Technology for Healthcare (Institute for Medical Informatics, Statistics and Epidemiology) ; Management of health information systems (Institute for Medical Informatics, Statistics and Epidemiology)
Related items
- Projects (23)
- Institutions (1)
- Investigations (22)
- Studies (21)
- Resources (25)
- Publications (417)
- Data files (132)
- Models (9+1)
- Documents (7)
The group is interested in omic-level studies including the genome, methylome, transcriptome, and metabolome of the general population as well as of various diseases including cardiovascular diseases, pneumonia, sepsis, obesity, and brain cancers. Additionally, we aim at transfering results of biomathematical model simulations into clinical practice e.g. by haematopoietic growth-factor opimization during cytotoxic chemotherapy and optimization of EPO applications in chronic kidney disease.
The
...
Programme: This Project is not associated with a Programme
Public web page: http://www.imise.uni-leipzig.de/en/Groups/GenStat/
Start date: 1st Jan 2013
Organisms: Homo sapiens
The Leipzig Health Atlas (LHA) 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 in which our team has scientific and clinical expertise.
Programme: This Project is not associated with a Programme
Public web page: https://www.health-atlas.de
Start date: 1st Apr 2016
End date: 28th Feb 2021
Organisms: Homo sapiens
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
Programme: MII - Medical Informatics Initiative
Public web page: https://www.smith.care/
Start date: 1st Jan 2018
Organisms: Homo sapiens
During 2004 and 2012 the german cancer aid supported the german glioma network (GGN). The GGN is a consortium where university hospitals with clinical focus in neuro-oncology, reference centers for neuroradiology, neuropathology, molecular diagnostics and biometry cooperate. Thanks to the long-term support it was possible to build a network of competence centers for the treatment of brain tumors in Germany wich is characterized by a interdisciplinary collaboration of all specialist disciplines
...
Organisms: Not specified
Human Diseases: brain glioma, malignant glioma
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
Stratification of head and neck squamous cell carcinomas (HNSCC) based on HPV16 DNA and RNA status
Snapshots: No snapshots
Studies: HNSCC
Resources: HNSCC Clinical Dataset, HNSCC OMICS Data
Snapshots: No snapshots
Studies: MAXSEP
Resources: MAXSEP Trial Data, MAXSEP Trial Metadata
Investigation: Covid-19
Resources: Covid-19 Data Sources Germany, Covid-19 Data Sources worldwide
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
Stratification of head and neck squamous cell carcinomas (HNSCC) based on HPV16 DNA and RNA status
Investigation: head and neck squamous cell carcinomas
Resources: HNSCC Clinical Dataset, HNSCC OMICS 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
Submitter: René Hänsel
Resource type: Experimental Assay Type
Technology type: Technology Type
Snapshots: No snapshots
Investigation: head and neck squamous cell carcinomas
Study: HNSCC
Organisms: No organisms
Human Diseases: head and neck squamous cell carcinoma
SOPs: No SOPs
Data files: GSE 65858 CSV, GSE 65858 ODM, GSE 65858 XLS, Gene expression patterns and TP53 mutations are...
Submitter: René Hänsel
Resource type: Experimental Assay Type
Technology type: Technology Type
Snapshots: No snapshots
Investigation: head and neck squamous cell carcinomas
Study: HNSCC
Organisms: No organisms
Human Diseases: head and neck squamous cell carcinoma
SOPs: No SOPs
Data files: Gene expression patterns and TP53 mutations are...
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
Snapshots: No snapshots
Investigation: OMICS Investigations
Study: GWAS Steroid Hormones
Organisms: No organisms
Human Diseases: coronary artery disease
SOPs: No SOPs
Data files: GWAS_SteroidHormones_SupTables
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: 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
Abstract (Expand)
Authors: Valentina Silvestri, Goska Leslie, Daniel R. Barnes, Bjarni A. Agnarsson, Kristiina Aittomäki, Elisa Alducci, Irene L. Andrulis, Rosa B. Barkardottir, Alicia Barroso, Daniel Barrowdale, Javier Benitez, Bernardo Bonanni, Ake Borg, Saundra S. Buys, Trinidad Caldés, Maria A. Caligo, Carlo Capalbo, Ian Campbell, Wendy K. Chung, Kathleen B. M. Claes, Sarah V. Colonna, Laura Cortesi, Fergus J. Couch, Miguel de La Hoya, Orland Diez, Yuan Chun Ding, Susan Domchek, Douglas F. Easton, Bent Ejlertsen, Christoph Engel, D. Gareth Evans, Lidia Feliubadalò, Lenka Foretova, Florentia Fostira, Lajos Géczi, Anne-Marie Gerdes, Gord Glendon, Andrew K. Godwin, David E. Goldgar, Eric Hahnen, Frans B. L. Hogervorst, John L. Hopper, Peter J. Hulick, Claudine Isaacs, Angel Izquierdo, Paul A. James, Ramunas Janavicius, Uffe Birk Jensen, Esther M. John, Vijai Joseph, Irene Konstantopoulou, Allison W. Kurian, Ava Kwong, Elisabetta Landucci, Fabienne Lesueur, Jennifer T. Loud, Eva Machackova, Phuong L. Mai, Keivan Majidzadeh-A, Siranoush Manoukian, Marco Montagna, Lidia Moserle, Anna Marie Mulligan, Katherine L. Nathanson, Heli Nevanlinna, Joanne Ngeow Yuen Ye, Liene Nikitina-Zake, Kenneth Offit, Edith Olah, Olufunmilayo I. Olopade, Ana Osorio, Laura Papi, Sue K. Park, Inge Sokilde Pedersen, Pedro Perez-Segura, Annabeth H. Petersen, Pedro Pinto, Berardino Porfirio, Miquel Angel Pujana, Paolo Radice, Johanna Rantala, Muhammad U. Rashid, Barak Rosenzweig, Maria Rossing, Marta Santamariña, Rita K. Schmutzler, Leigha Senter, Jacques Simard, Christian F. Singer, Angela R. Solano, Melissa C. Southey, Linda Steele, Zoe Steinsnyder, Dominique Stoppa-Lyonnet, Yen Yen Tan, Manuel R. Teixeira, Soo H. Teo, Mary Beth Terry, Mads Thomassen, Amanda E. Toland, Sara Torres-Esquius, Nadine Tung, Christi J. van Asperen, Ana Vega, Alessandra Viel, Jeroen Vierstraete, Barbara Wappenschmidt, Jeffrey N. Weitzel, Greet Wieme, Sook-Yee Yoon, Kristin K. Zorn, Lesley McGuffog, Michael T. Parsons, Ute Hamann, Mark H. Greene, Judy A. Kirk, Susan L. Neuhausen, Timothy R. Rebbeck, Marc Tischkowitz, Georgia Chenevix-Trench, Antonis C. Antoniou, Eitan Friedman, Laura Ottini
Date Published: 2nd Jul 2020
Publication Type: Journal article
Human Diseases: hereditary breast ovarian cancer syndrome
DOI: 10.1001/jamaoncol.2020.2134
Citation: JAMA Oncol
Abstract (Expand)
Authors: Helian Feng, Alexander Gusev, Bogdan Pasaniuc, Lang Wu, Jirong Long, Zomoroda Abu-Full, Kristiina Aittomäki, Irene L. Andrulis, Hoda Anton-Culver, Antonis C. Antoniou, Adalgeir Arason, Volker Arndt, Kristan J. Aronson, Banu K. Arun, Ella Asseryanis, Paul L. Auer, Jacopo Azzollini, Judith Balmaña, Rosa B. Barkardottir, Daniel R. Barnes, Daniel Barrowdale, Matthias W. Beckmann, Sabine Behrens, Javier Benitez, Marina Bermisheva, Katarzyna Białkowska, Ana Blanco, Carl Blomqvist, Bram Boeckx, Natalia V. Bogdanova, Stig E. Bojesen, Manjeet K. Bolla, Bernardo Bonanni, Ake Borg, Hiltrud Brauch, Hermann Brenner, Ignacio Briceno, Annegien Broeks, Thomas Brüning, Barbara Burwinkel, Qiuyin Cai, Trinidad Caldés, Maria A. Caligo, Ian Campbell, Sander Canisius, Daniele Campa, Brian D. Carter, Jonathan Carter, Jose E. Castelao, Jenny Chang-Claude, Stephen J. Chanock, Hans Christiansen, Wendy K. Chung, Kathleen B. M. Claes, Christine L. Clarke, Fergus J. Couch, Angela Cox, Simon S. Cross, Cezary Cybulski, Kamila Czene, Mary B. Daly, Miguel de La Hoya, Kim de Leeneer, Joe Dennis, Peter Devilee, Orland Diez, Susan M. Domchek, Thilo Dörk, Isabel Dos-Santos-Silva, Alison M. Dunning, Miriam Dwek, Diana M. Eccles, Bent Ejlertsen, Carolina Ellberg, Christoph Engel, Mikael Eriksson, Peter A. Fasching, Olivia Fletcher, Henrik Flyger, Florentia Fostira, Eitan Friedman, Lin Fritschi, Debra Frost, Marike Gabrielson, Patricia A. Ganz, Susan M. Gapstur, Judy Garber, Montserrat García-Closas, José A. García-Sáenz, Mia M. Gaudet, Graham G. Giles, Gord Glendon, Andrew K. Godwin, Mark S. Goldberg, David E. Goldgar, Anna González-Neira, Mark H. Greene, Jacek Gronwald, Pascal Guénel, Christopher A. Haiman, Per Hall, Ute Hamann, Christopher Hake, Wei He, Jane Heyworth, Frans B. L. Hogervorst, Antoinette Hollestelle, Maartje J. Hooning, Robert N. Hoover, John L. Hopper, Guanmengqian Huang, Peter J. Hulick, Keith Humphreys, Evgeny N. Imyanitov, Claudine Isaacs, Milena Jakimovska, Anna Jakubowska, Paul James, Ramunas Janavicius, Rachel C. Jankowitz, Esther M. John, Nichola Johnson, Vijai Joseph, Audrey Jung, Beth Y. Karlan, Elza Khusnutdinova, Johanna I. Kiiski, Irene Konstantopoulou, Vessela N. Kristensen, Yael Laitman, Diether Lambrechts, Conxi Lazaro, Dominique Leroux, Goska Leslie, Jenny Lester, Fabienne Lesueur, Noralane Lindor, Sara Lindström, Wing-Yee Lo, Jennifer T. Loud, Jan Lubiński, Enes Makalic, Arto Mannermaa, Mehdi Manoochehri, Siranoush Manoukian, Sara Margolin, John W. M. Martens, Maria E. Martinez, Laura Matricardi, Tabea Maurer, Dimitrios Mavroudis, Lesley McGuffog, Alfons Meindl, Usha Menon, Kyriaki Michailidou, Pooja M. Kapoor, Austin Miller, Marco Montagna, Fernando Moreno, Lidia Moserle, Anna M. Mulligan, Taru A. Muranen, Katherine L. Nathanson, Susan L. Neuhausen, Heli Nevanlinna, Ines Nevelsteen, Finn C. Nielsen, Liene Nikitina-Zake, Kenneth Offit, Edith Olah, Olufunmilayo I. Olopade, Håkan Olsson, Ana Osorio, Janos Papp, Tjoung-Won Park-Simon, Michael T. Parsons, Inge S. Pedersen, Ana Peixoto, Paolo Peterlongo, Julian Peto, Paul D. P. Pharoah, Kelly-Anne Phillips, Dijana Plaseska-Karanfilska, Bruce Poppe, Nisha Pradhan, Karolina Prajzendanc, Nadege Presneau, Kevin Punie, Katri Pylkäs, Paolo Radice, Johanna Rantala, Muhammad Usman Rashid, Gad Rennert, Harvey A. Risch, Mark Robson, Atocha Romero, Emmanouil Saloustros, Dale P. Sandler, Catarina Santos, Elinor J. Sawyer, Marjanka K. Schmidt, Daniel F. Schmidt, Rita K. Schmutzler, Minouk J. Schoemaker, Rodney J. Scott, Priyanka Sharma, Xiao-Ou Shu, Jacques Simard, Christian F. Singer, Anne-Bine Skytte, Penny Soucy, Melissa C. Southey, John J. Spinelli, Amanda B. Spurdle, Jennifer Stone, Anthony J. Swerdlow, William J. Tapper, Jack A. Taylor, Manuel R. Teixeira, Mary Beth Terry, Alex Teulé, Mads Thomassen, Kathrin Thöne, Darcy L. Thull, Marc Tischkowitz, Amanda E. Toland, Rob A. E. M. Tollenaar, Diana Torres, Thérèse Truong, Nadine Tung, Celine M. Vachon, Christi J. van Asperen, Ans M. W. van den Ouweland, Elizabeth J. van Rensburg, Ana Vega, Alessandra Viel, Paula Vieiro-Balo, Qin Wang, Barbara Wappenschmidt, Clarice R. Weinberg, Jeffrey N. Weitzel, Camilla Wendt, Robert Winqvist, Xiaohong R. Yang, Drakoulis Yannoukakos, Argyrios Ziogas, Roger L. Milne, Douglas F. Easton, Georgia Chenevix-Trench, Wei Zheng, Peter Kraft, Xia Jiang
DOI: 10.1002/gepi.22288
Citation: Genet. Epidemiol. 44(5):442-468
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
Creator: European Centre for Disease Prevention and Control
Submitter: René Hänsel
Data file type: Geographical Data
Human Diseases: COVID-19
Investigations: Covid-19
Studies: Covid-19 Data Source Research
Resources: Covid-19 Data Sources worldwide
Creator: Johns Hopkins University
Submitter: René Hänsel
Data file type: Geographical Data
Human Diseases: COVID-19
Investigations: Covid-19
Studies: Covid-19 Data Source Research
Resources: Covid-19 Data Sources worldwide
Creator: Robert Koch Institute
Submitter: René Hänsel
Data file type: Geographical Data
Human Diseases: COVID-19
Investigations: Covid-19
Studies: Covid-19 Data Source Research
Resources: Covid-19 Data Sources Germany
oposSOM is a comprehensive, machine learning based open-source data analysis software combining functionalities such as diversity analyses, biomarker selection, function mining, and visualization. These functionalities are now available as interactive web-browser application for a broader user audience interested in extracting detailed information from high-throughput omics data sets pre-processed by oposSOM. It enables interactive browsing of single-gene and gene set profiles, of molecular
...
Creator: Henry Löffler-Wirth
Submitter: René Hänsel
Model type: Self-Organizing Map
Model format: R package
Environment: Shiny
Organism: Not specified
Human Disease: Not specified
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
This is an interactive version of figure 4 of the publication „Integration of Genome-Wide SNP Data and Gene-Expression Profiles Reveals Six Novel Loci and Regulatory Mechanisms for Amino Acids and Acylcarnitines in Whole Blood“.
Creator: Markus Scholz
Submitter: René Hänsel
Model type: Not specified
Model format: R package
Environment: Not specified
Organism: Not specified
Human Disease: kidney disease
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
Implementation of recently developed dynamic mathematical models of normal and leukemic hematopoiesis to practically impact clinical decision- making.
Fitting available individual patients information, prediction of next-cycle thrombopenia caused by CHOEP treatment based on the individual fits of the preceeding treatment cycles, changing next-cycle relative dosing, posponement of the next cycle, changing follow-up period, visualization of data and simulation
Creator: Markus Scholz
Submitter: René Hänsel
Model type: Not specified
Model format: R package
Environment: Not specified
Organism: Not specified
Human Disease: thrombocytopenia
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
Emerging health geography research analyzes and visualizes health behaviors and outcomes in relation to urban environmental data and related official statistics to produce “health reports” for specific areas. This can be extended to developments in urban planning, e.g., to identify districts or neighborhoods for social investments or restrictions.
We mapped anthropometric data the large LIFE Adult population (10,000 participants) onto the Leipzig map. In particular, we derived the body mass index
...
Creator: Ying-Chi Lin
Submitter: René Hänsel
Model type: Not specified
Model format: Not specified
Environment: Not specified
Organism: Not specified
Human Disease: obesity
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
The publication of research results is part of good scientific practice and is increasingly ex-pected and demanded. The FAIR data principles of data sharing are an important guideline - even if medical data sharing makes it necessary to define access restrictions.
Creators: René Hänsel, Frank A. Meineke, Christoph Beger
Submitter: Christoph Beger
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
The Leipzig Health Atlas (LHA) offers a platform for presentation and exchange of publications, (bio-) medical data, models and software tools
from the field of health research. The LHA is based on the FAIR Data Principles (Findable, Accessible, Interoperable, Reusable). Currently,
more than 18 research consortia contribute data from the domains lymphoma, glioma, sepsis, hereditary colorectal and breast cancer, and
others. Target groups are clinicians, epidemiologists, molecular geneticists, human
...
Creators: René Hänsel, Frank A. Meineke, Christoph Beger
Submitter: Christoph Beger
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
The need to manage research data is recognised by the research community - sponsors, legislators, publishers expect and encourage good scientific practice, which not only includes archiving, but also the availability of research data and results in line with FAIR principles.
The publication gives a brief overview of the Leipzig Health Atlas (LHA), which is a project for the presentation and exchange of a wide range of publications, (bio) medical data (e.g. clinical, epidemiological, molecular),
...
Creators: René Hänsel, Matthias Löbe, Sebastian Stäubert, Christoph Beger
Submitter: Christoph Beger
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
The need to manage research data is recognised by the research community - sponsors, legislators, publishers expect and encourage good scientific practice, which not only includes archiving, but also the availability of research data and results in line with FAIR principles.
The publication gives a brief overview of the Leipzig Health Atlas (LHA), which is a project for the presentation and exchange of a wide range of publications, (bio) medical data (e.g. clinical, epidemiological, molecular),
...
Creators: René Hänsel, Matthias Löbe, Sebastian Stäubert, Christoph Beger
Submitter: Christoph Beger
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
Diabetes screening strategies using glycated haemoglobin (HbA1c) as first-instance diagnostic parameter may cause failure to detect individuals with abnormal glucose regulation and possible signs of microvascular complications despite “rule-out” HbA1c levels. This cross-sectional study examined the diagnostic performance of HbA1c in relation to fasting and two-hour postload plasma glucose (FPG/2 h-PG), and investigated whether individuals with normal HbA1c but abnormal FPG/2 h-PG have a higher
...
Creator: Christoph Engel
Submitter: René Hänsel
Investigations: No Investigations
Studies: No Studies
Resources: No Resources