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- LIFE - Leipzig Research Center for Civilization Diseases
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
Health Atlas ID: 7Q0CG2J40X-2
Public web page: http://life.uni-leipzig.de/
Organisms: Homo sapiens
Human Diseases: Disease of anatomical entity, Disease of cellular proliferation, Disease of mental health, Disease of metabolism, Disease by infectious agent
Health Atlas PALs: No PALs for this Project
Project Coordinators: Toralf Kirsten, Christian Sander
Project start date: 1st Jan 2009
Related items
- Institutions (4)
- Investigations (2)
- Studies (6)
- Resources (7)
- Publications (141)
- Data files (127)
- Models (5+1)
- People (27)
- Events (1)
- Human Diseases (11)
Resutls of different OMICS-level using LIFE Adult and LIFE Heart data are presented (Publications, Supplemental Data, & Summary Statistics).
Snapshots: No snapshots
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
Summary statistics of Meta-GWAS results will be made available upon acceptance of our manuscript.
Investigation: OMICS Investigations
Resources: No Resources
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
Investigation: OMICS Investigations
Study: GWAS Body Scanner Measures
Organisms: No organisms
Human Diseases: No human diseases
Models: No Models
SOPs: No SOPs
Data files: Summary Statistics for BS_3D_WAISTBAND, Summary Statistics for BS_3D_WAISTBAND_AVERAGE_..., Summary Statistics for BS_3D_WAISTBAND_B_HT, Summary Statistics for BS_3D_WAISTBAND_F_HT, Summary Statistics for BS_AC_BACK_WTH, Summary Statistics for BS_AC_BACK_WTH_AL, Summary Statistics for BS_ANKLE_GTH_AVERAGE, Summary Statistics for BS_ANKLE_HT, Summary Statistics for BS_ARM_LTH_AVERAGE, Summary Statistics for BS_ARM_LTH_T_NECK_AVERAGE, Summary Statistics for BS_ARM_LTH_T_NECK_B_AVERAGE, Summary Statistics for BS_BELLY_CIRC, Summary Statistics for BS_BELLY_CIRC_HT, Summary Statistics for BS_BMI, Summary Statistics for BS_BREAST_HT, Summary Statistics for BS_BUST_CHEST_GTH, Summary Statistics for BS_BUST_CHEST_GTH_HZ, Summary Statistics for BS_BUST_PT_AR_NECK, Summary Statistics for BS_BUST_PT_T_NECK_AVERAGE, Summary Statistics for BS_BUST_PT_WTH, Summary Statistics for BS_BUTTOCK_GTH, Summary Statistics for BS_BUTTOCK_HT, Summary Statistics for BS_CALF_GTH_AVERAGE, Summary Statistics for BS_CROTCH_HT, Summary Statistics for BS_CROTCH_LTH, Summary Statistics for BS_CROTCH_LTH_AT_WB, Summary Statistics for BS_CROTCH_LTH_AT_WB_A, Summary Statistics for BS_CROTCH_LTH_F, Summary Statistics for BS_CROTCH_LTH_R, Summary Statistics for BS_CR_SHOULDER, Summary Statistics for BS_CR_SHOULDER_O_NECK, Summary Statistics for BS_DEV_WB_FROM_WAIST_B, Summary Statistics for BS_DEV_WB_FROM_WAIST_F, Summary Statistics for BS_DEV_WB_FROM_WAIST_S, Summary Statistics for BS_DIST_AC_B_WTH_WAIST, Summary Statistics for BS_DIST_CROTCH_WAISTBAN, Summary Statistics for BS_DIST_NECK_KNEE, Summary Statistics for BS_DIST_NECK_T_HIP, Summary Statistics for BS_DIST_WAISTBAND_BUTT, Summary Statistics for BS_DIST_WAISTBAND_KNEE, Summary Statistics for BS_DIST_WAIST_KNEE, Summary Statistics for BS_ELBOW_GTH_AVERAGE, Summary Statistics for BS_FOREARM_GTH_AVERAGE, Summary Statistics for BS_FOREARM_LTH_AVERAGE, Summary Statistics for BS_HEAD_CIRC, Summary Statistics for BS_HEAD_HT, Summary Statistics for BS_HIGH_HIP_GTH, Summary Statistics for BS_HIGH_WAIST_GTH, Summary Statistics for BS_HIGH_WAIST_HT, Summary Statistics for BS_HIP_GTH, Summary Statistics for BS_HIP_HT, Summary Statistics for BS_HIP_THIGH_GTH, Summary Statistics for BS_HT, Summary Statistics for BS_HT_SHOULDER_BLADES, Summary Statistics for BS_INSEAM_AVERAGE, Summary Statistics for BS_IN_LEG_ANKLE_AVERAGE, Summary Statistics for BS_KNEE_GTH_AVERAGE, Summary Statistics for BS_KNEE_HT, Summary Statistics for BS_MAX_BELLY_CIRC, Summary Statistics for BS_MAX_BELLY_CIRC_HT, Summary Statistics for BS_MIDDLE_HIP, Summary Statistics for BS_MID_NECK_GTH, Summary Statistics for BS_MIN_LEG_GTH_AVERAGE, Summary Statistics for BS_NECK_AC_BACK_WTH_AL, Summary Statistics for BS_NECK_AT_BASE_GTH, Summary Statistics for BS_NECK_AVERAGE_T_WAIST_B, Summary Statistics for BS_NECK_DIAM, Summary Statistics for BS_NECK_F_T_WAIST, Summary Statistics for BS_NECK_F_T_WAIST_OV_BL, Summary Statistics for BS_NECK_HT, Summary Statistics for BS_NECK_R_WAIST_OV_BL, Summary Statistics for BS_NECK_WAIST_C_BACK, Summary Statistics for BS_SCAPULA_HT_2, Summary Statistics for BS_SIDESEAM_3D_WD_AVERAGE, Summary Statistics for BS_SIDESEAM_ANKLE_AVERAGE, Summary Statistics for BS_SIDESEAM_AVERAGE, Summary Statistics for BS_SIDESEAM_WAIST_AVERAGE, Summary Statistics for BS_THIGH_GTH_AVERAGE_HZ, Summary Statistics for BS_TORSO_WTH_WAIST, Summary Statistics for BS_TOT_TORSO_GTH, Summary Statistics for BS_UNDERBUST_CIRC_HZ, Summary Statistics for BS_UP_ARM_DIAM_AVERAGE, Summary Statistics for BS_UP_ARM_GTH_AVERAGE, Summary Statistics for BS_UP_ARM_LTH_AVERAGE, Summary Statistics for BS_WAISTBAND, Summary Statistics for BS_WAISTBAND_B_HT, Summary Statistics for BS_WAISTBAND_F_HT, Summary Statistics for BS_WAISTBAND_HT, Summary Statistics for BS_WAIST_BUTTOCK_HT_AVERAGE, Summary Statistics for BS_WAIST_GTH, Summary Statistics for BS_WAIST_HT, Summary Statistics for BS_WAIST_T_BUTTOCK, Summary Statistics for BS_WAIST_T_HIGH_HIP_B, Summary Statistics for BS_WB_BUTTOCK_HT_AVERAGE, Summary Statistics for BS_WRIST_GTH, Summary Statistics for BS_WRIST_GTH_AVERAGE, Summary Statistics for BS_WT, Summary Statistics for BS_WTH, Summary Statistics for BS_WTH_THIGH_AVERAGE
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
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...
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
Abstract (Expand)
Authors: A. Frenzel, H. Binder, N. Walter, K. Wirkner, M. Loeffler, H. Loeffler-Wirth
Date Published: 29th Mar 2020
Publication Type: Not specified
PubMed ID: 32218988
Citation: NPJ Aging Mech Dis. 2020 Mar 24;6:5. doi: 10.1038/s41514-020-0043-9. eCollection 2020.
Abstract (Expand)
Authors: D. Li, F. G. Rauscher, E. Y. Choi, M. Wang, N. Baniasadi, K. Wirkner, T. Kirsten, J. Thiery, C. Engel, M. Loeffler, T. Elze
Date Published: 17th Nov 2019
Publication Type: Journal article
PubMed ID: 31732228
Citation: Ophthalmology. 2020 Mar;127(3):357-368. doi: 10.1016/j.ophtha.2019.09.019. Epub 2019 Sep 25.
Three-dimensional (3D) whole body scanner data of nearly 10,000 participants of a cohort collected from the adult population of Leipzig.
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
Investigations: OMICS Investigations
Studies: GWAS Body Scanner Measures
Resources: Summary Statistics
Investigations: OMICS Investigations
Studies: GWAS Body Scanner Measures
Resources: Summary Statistics
Investigations: OMICS Investigations
Studies: GWAS Body Scanner Measures
Resources: Summary Statistics
Investigations: OMICS Investigations
Studies: GWAS Body Scanner Measures
Resources: Summary Statistics
The LHA Body typer is an interactive app that enables interested users to determine their body type by manual measuring of few body lengths and girths. Additionally, data derived from body scanner devices can be uploaded for automatic body type annotation with regard to the body shapes identified in the Leipzig population.
Creator: Henry Löffler-Wirth
Submitter: Henry Löffler-Wirth
Model type: Not specified
Model format: R package
Environment: Shiny
Organism: Homo sapiens
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
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
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: Toralf Kirsten
Submitter: René Hänsel
Model type: Not specified
Model format: R package
Environment: Not specified
Organism: Not specified
Human Disease: Not specified
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.
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: 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

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
Projects: LIFE Adult, LIFE - Leipzig Research Center for Civilization Diseases
Institutions: University of Leipzig
Start Date: 30th Jan 2020
End Date: 30th Jan 2020
Event Website: https://conference.uni-leipzig.de/researchfestival/
Country: Germany
City: Leipzig
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_11934
Synonyms: head and neck tumours, head and neck neoplasm, tumor of head and neck (disorder), head/neck neoplasm
Definitions: An organ system cancer that arises in the head or neck region. This region includes the nasal cavity, sinuses, lips, mouth, salivary glands, throat, or larynx.
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.
Taxonomy URI: http://purl.obolibrary.org/obo/DOID_1307
Definitions: A cognitive disorder resulting from a loss of brain function affecting memory, thinking, language, judgement and behavior.