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LIFE pursues the relevant challenges in medical research, namely to support individual health maintenance from childhood to aged people and to find risks for frequent diseases and new strategies for targeted prevention and therapies.
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.
Programme: Epidemiology
LHA-ID: 7Q0CG2J40X-2
Public web page: http://life.uni-leipzig.de/
Human Diseases: Disease of anatomical entity, Disease of cellular proliferation, Disease of mental health, Disease of metabolism, Disease by infectious agent
Leipzig Health Atlas PALs: No PALs for this Project
Project Coordinators: No Project coordinators for this Project
Project start date: 1st Jan 2009
Related items
- People (21)
- Institutions (4)
- Investigations (2)
- Studies (2)
- Assays (4)
- Data files (25)
- Models (4+1)
- Publications (132)
Projects: LIFE- Leipzig Research Center for Civilization Diseases, Leipzig Health Atlas, Onto-Med Research Group, German Lymphoma Alliance (GLA)
Institutions: Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig

Expertise: r, perl, java, backend development, cdisc odm
Projects: LIFE Adult, 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

Expertise: hereditary cancer, biometry, epidemiology
Projects: LIFE Adult, LIFE- Leipzig Research Center for Civilization Diseases
Institutions: University of Leipzig
Projects: LIFE- Leipzig Research Center for Civilization Diseases
Institutions: Max-Planck-Institut für Kognitions- und Neurowissenschaften
Max-Planck-Institut für Kognitions- und Neurowissenschaften
Stephanstraße 1a
04103 Leipzig
Projects: Leipzig Health Atlas, LIFE Adult, LIFE- Leipzig Research Center for Civilization Diseases, LIFE Head and Neck Cancer 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, 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
Stratification of head and neck squamous cell carcinomas (HNSCC) based on HPV16 DNA and RNA status
Snapshots: No snapshots
Studies: HNSCC
Assays: HNSCC Clinical Dataset, HNSCC OMICS Data
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
Studies: GWAS Steroid Hormones
Assays: 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
Assays: HNSCC Clinical Dataset, HNSCC OMICS Data
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: GWAS
Assays: Summary Statistics, Supplement Data
Contributor: René Hänsel
Assay type: Experimental Assay Type
Technology type: Technology Type
Snapshots: No snapshots
Investigation: head and neck squamous cell carcinomas
Study: HNSCC
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...
Contributor: René Hänsel
Assay type: Experimental Assay Type
Technology type: Technology Type
Snapshots: No snapshots
Investigation: head and neck squamous cell carcinomas
Study: HNSCC
Human Diseases: head and neck squamous cell carcinoma
SOPs: No SOPs
Data files: Gene expression patterns and TP53 mutations are...
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 disease traits.
These data are intended for research purposes only.
When using this data acknowledge the source as follows: 'Data on steroid hormon XXX has been contributed by LIFE-Adult and LIFE-Heart investigators and has been downloaded from https://www.health-atlas.de/assays/27'.
For any enquiries about
...
Contributor: Janne Pott
Assay type: Genome Wide Association
Technology type: SNP Array
Snapshots: No snapshots
Investigation: GWAS
Study: GWAS Steroid Hormones
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
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
Investigation: GWAS
Study: GWAS Steroid Hormones
Human Diseases: coronary artery disease
SOPs: No SOPs
Data files: GWAS_SteroidHormones_SupTables
The goal of this study was to investigate to what extent body mass index (BMI), body height, body
weight, breast-to-abdomen-ratio, testosterone, estradiol, dehydroepiandrosterone-sulfate (DHEA-S), folliclestimulating hormone, and luteinizing hormone are associated with the sound pressure level and the fundamental frequency of the speaking voice in a cross-sectional approach among adults in the general population.
Data for Publication: Jost L, et al; J Voice. 2017 Jul 21. pii: S0892-1997(17)30216-3.
...
Investigations: No Investigations
Studies: No Studies
Assays: No Assays
Our first objective was to compare the molecular features of subgroups of HNSCC defined by their HPV16 DNA and RNA status. The second objective was to identify gene expression subtypes in HNSCC and to correlate them with other characteristics of the patients.
HPV DNA and RNA status, mutations of 50 genes, survival and other clinical characteristics of 270 patients with head and neck cancer.
Investigations: head and neck squamous cell carcinomas
Studies: HNSCC
Assays: HNSCC Clinical Dataset
Our first objective was to compare the molecular features of subgroups of HNSCC defined by their HPV16 DNA and RNA status. The second objective was to identify gene expression subtypes in HNSCC and to correlate them with other characteristics of the patients.
HPV DNA and RNA status, mutations of 50 genes, survival and other clinical characteristics of 270 patients with head and neck cancer.
Investigations: head and neck squamous cell carcinomas
Studies: HNSCC
Assays: HNSCC Clinical Dataset
Our first objective was to compare the molecular features of subgroups of HNSCC defined by their HPV16 DNA and RNA status. The second objective was to identify gene expression subtypes in HNSCC and to correlate them with other characteristics of the patients.
HPV DNA and RNA status, mutations of 50 genes, survival and other clinical characteristics of 270 patients with head and neck cancer.
Investigations: head and neck squamous cell carcinomas
Studies: HNSCC
Assays: HNSCC Clinical Dataset
Our first objective was to compare the molecular features of subgroups of HNSCC defined by their HPV16 DNA and RNA status. The second objective was to identify gene expression subtypes in HNSCC and to correlate them with other characteristics of the patients.
HPV DNA and RNA status, mutations of 50 genes, survival and other clinical characteristics of 270 patients with head and neck cancer.
Investigations: head and neck squamous cell carcinomas
Studies: HNSCC
Assays: HNSCC Clinical Dataset
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: René Hänsel
Contributor: René Hänsel
Model type: Not specified
Model format: Not specified
Environment: Not specified
Human Disease: obesity
Investigations: No Investigations
Studies: No Studies
Modelling analyses: No Modelling analyses
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 FAIS 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: René Hänsel
Contributor: René Hänsel
Model type: Not specified
Model format: Not specified
Environment: Not specified
Human Disease: Not specified
Investigations: No Investigations
Studies: No Studies
Modelling analyses: No Modelling analyses
Large scale epidemiological studies, such as LIFE-ADULT, including thousands of participants with a multitude of novel QT assessments allow to define reference values. Reference values are typically used in quality control to find outliers in a specified data volume or to evaluate a given measurement value regarding its pathologic value. Measuring the hand grip strength is a standard assessment in LIFE, for which is no or little prior knowledge regarding reference values available.
Based on the
...
Creator: René Hänsel
Contributor: René Hänsel
Model type: Not specified
Model format: R package
Environment: Not specified
Human Disease: Not specified
Investigations: No Investigations
Studies: No Studies
Modelling analyses: No Modelling analyses
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.
We mapped measured hand grip data of the large LIFE Adult population (10,000 participants) onto the Leipzig map. In particular, we locate each participant at the time of participation in Leipzig and, thus, can derive hand grip strength averages (incl. mean, median) per specific city districts.
...
Creator: René Hänsel
Contributor: René Hänsel
Model type: Not specified
Model format: Not specified
Environment: Not specified
Human Disease: Not specified
Investigations: No Investigations
Studies: No Studies
Modelling analyses: No Modelling analyses
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: Felix S Hussenoeder, Ines Conrad, Susanne Roehr, Heide Glaesmer, Andreas Hinz, Cornelia Enzenbach, Christoph Engel, Veronika Witte, Matthias L Schroeter, Markus Löffler, Joachim Thiery, Arno Villringer, Steffi Gerlinde Riedel-Heller, Francisca S Rodriguez
PubMed ID: 31129995
Citation: Aging & Mental Health. 2019 May 25:1-7. doi: 10.1080/13607863.2019.1617244.
Abstract (Expand)
Authors: M. Yahiaoui-Doktor, Tobias Luck, Steffi Gerlinde Riedel-Heller, Markus Löffler, K. Wirkner, Christoph Engel
PubMed ID: 31077241
Citation: Alzheimers Res Ther. 2019 May 10;11(1):43. doi: 10.1186/s13195-019-0494-z.
Abstract (Expand)
Authors: M. Zivkovic, A. Tonjes, R. Baber, K. Wirkner, Markus Löffler, Christoph Engel
Date Published: 1st Mar 2019
Journal: Endocrinol Diabetes Metab
Human Diseases: glucose metabolism disease
PubMed ID: 30815561
Citation: Endocrinol Diabetes Metab. 2018 Jul 11;1(4):e00030. doi: 10.1002/edm2.30. eCollection 2018 Oct.
Abstract (Expand)
Authors: Andreas Hinz, Tobias Luck, Steffi Gerlinde Riedel-Heller, P. Y. Herzberg, C. Rolffs, K. Wirkner, Christoph Engel
Date Published: 21st Nov 2018
Journal: Eur Arch Otorhinolaryngol
Human Diseases: Not specified
PubMed ID: 30456541
Citation: Eur Arch Otorhinolaryngol. 2019 Feb;276(2):389-395. doi: 10.1007/s00405-018-5210-2. Epub 2018 Nov 20.