The aim of LIFE ADULT is to find out more about common diseases such as cancer, diabetes or cardiovascular diseases. In Germany, many people are affected by these diseases - and more are being diagnosed every day. The everyday life and quality of life of those affected, but also of their relatives, are often severely impaired. With this research, this epidemiological study hopes to obtain answers to a wide variety of questions.
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 study is characterized by a special depth of investigation. More than 100 evaluation projects are currently in progress.
Programme: LIFE Management Cluster
LHA ID: 7Q6PJD8NV3-2
Public web page: http://life.uni-leipzig.de/en/adults/life_adult.html
Human Diseases: Mood disorder, Dementia, Coronary artery disease, Obesity
Health Atlas - Local Data Hub/Leipzig PALs: Markus Löffler
Project Coordinators: Christian Sander
Project start date: 1st Jan 2009
Related items
- Institutions (5)
- Investigations (1)
- Studies (10)
- Resources (11)
- Publications (100)
- Data files (132)
- Models (5)
- Documents (6)
- People (20)
- Programmes (1)
- Human Diseases (4)
Resutls of different OMICS-level using LIFE Adult and LIFE Heart data are presented (Publications, Supplemental Data, & Summary Statistics).
Submitter: René Hänsel
Studies: DNA methylation patterns reflect individual lifestyle independent from o..., GWAMA PCSK9, GWAMA Phytosterole, GWAMA Steroid hormones, GWAMA vaspin, GWAS Body Scanner Measures, GWAS Carotid Plaque Burden, GWAS Pulse Wave Velocity, GWAS Steroid Hormones, scRNA-Seq across species for pulmonologists
Resources: Gene Expression data, LIFE-Adult EPIC data, Summary Statistic for PWV GWAS, Summary Statistics, Summary Statistics, Summary Statistics, Summary Statistics, Summary Statistics, Summary Statistics - Phytosterols, Supplement Data, scRNA-Seq expression data as RDS Seurat file
Snapshots: No snapshots
A meta-analysis of genome-wide associations for serum vaspin from six independent cohorts (N = 7446) was conducted. The data show that serum vaspin is strongly determined by genetic variants within vaspin.
This study belongs to the publication: https://doi.org/10.1002/oby.23882
Submitter: Katrin Horn
Investigation: OMICS Investigations
Resources: Summary Statistics
Study type: Genetic study
Snapshots: No snapshots
Submitter: Katrin Horn
Investigation: OMICS Investigations
Resources: Gene Expression data, LIFE-Adult EPIC data
Study type: Not specified
Snapshots: No snapshots
Summary statistics of Meta-GWAS results will be made available upon acceptance of our manuscript.
Submitter: Janne Pott
Investigation: OMICS Investigations
Resources: Summary Statistics
Study type: Genetic study
Snapshots: No snapshots
In our manuscript, we describe current procedures, tools, and results to create, compare and qualitatively assess the single-cell transcriptomes of the lung in three different species; human (Homo sapiens), hamster (Mesocricetus auratus), and mice (Mus musculus).
We make the analysis reproducible by publishing the R-based workflow on GitHub pulmonologists_interspecies_scRNA
.
Here in the LHA, we provide the required scRNA-Seq
...
Submitter: Holger Kirsten
Investigation: OMICS Investigations
Resources: scRNA-Seq expression data as RDS Seurat file
Study type: Cell study
Snapshots: No snapshots
Genome-wide Association Meta-Analyses of four steroid hormones (progesterone, 17-OH-progesterone, androstenedione, and aldosterone) and the ratio of testosterone to estradiol. Summary statistics of GWAMA results will be made available upon acceptance of our manuscript.
Submitter: Janne Pott
Investigation: OMICS Investigations
Resources: No Resources
Study type: Genetic study
Snapshots: No snapshots
Genome-wide Association Meta-Analyses of 32 phytosterol traits reflecting resorption, cholesterol synthesis and esterification in six studies with up to 9,758 subjects Summary statistics of GWAMA results will be made available upon acceptance of our manuscript.
Submitter: Janne Pott
Investigation: OMICS Investigations
Resources: Summary Statistics - Phytosterols
Study type: Genetic study
Snapshots: No snapshots
Submitter: Janne Pott
Investigation: OMICS Investigations
Resources: Summary Statistics
Study type: Genetic study
Snapshots: No snapshots
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.
Submitter: Janne Pott
Investigation: OMICS Investigations
Resources: Summary Statistic for PWV GWAS
Study type: Genetic study
Snapshots: No snapshots
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.
Submitter: Janne Pott
Investigation: OMICS Investigations
Resources: Summary Statistics
Study type: Genetic study
Snapshots: No snapshots
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)
Submitter: René Hänsel
Investigation: OMICS Investigations
Resources: Summary Statistics, Supplement Data
Study type: Genetic study
Snapshots: No snapshots
Summary Statistics used in publication
Submitter: Katrin Horn
Resource type: Genome Wide Association
Technology type: Technology Type
Investigation: OMICS Investigations
Study: GWAMA vaspin
Human Diseases: No human diseases
Data files: Summary Statstics for vaspin ALL
Snapshots: No snapshots
Submitter: Katrin Horn
Resource type: Experimental Assay Type
Technology type: Technology Type
Investigation: OMICS Investigations
Human Diseases: No human diseases
Data files: LIFE-Adult EPIC Samples Sheet, LIFE-Adult EPIC data idat files
Snapshots: No snapshots
To provide data input and result from a scRNA-Seq integration workflow
Submitter: Holger Kirsten
Resource type: Experimental Assay Type
Technology type: Technology Type
Investigation: OMICS Investigations
Human Diseases: No human diseases
Data files: Input files used in scripts, scRNA-Seq expression-data as RDS Seurat file
Snapshots: No snapshots
Submitter: Andreas Kühnapfel
Biological problem addressed: Genome Scale
Investigation: OMICS Investigations
Study: GWAS Body Scanner Measures
Human Diseases: No human diseases
Models: No Models
Data files: BS Abbreviations, 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
Snapshots: No snapshots
Submitter: Katrin Horn
Resource type: Gene Expression Profiling
Technology type: Technology Type
Investigation: OMICS Investigations
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 GWAMA of phytosterol 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: tba
When using this data acknowledge the source as follows: 'Data on phytosterol X has been contributed by LIFE investigators and has been downloaded from https://www.health-atlas.de/assays/53.'
For any enquiries about ...
Submitter: Janne Pott
Resource type: Experimental Assay Type
Technology type: SNP Array
Investigation: OMICS Investigations
Study: GWAMA Phytosterole
Human Diseases: No human diseases
Data files: Summary statistics for brassicasterol (part 1), Summary statistics for brassicasterol (part 2), Summary statistics for campesterol (part 1), Summary statistics for campesterol (part 2), Summary statistics for sitosterol (part 1), Summary statistics for sitosterol (part 2), Summary statistics for stigmasterol (part 1), Summary statistics for stigmasterol (part 2)
Snapshots: No snapshots
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
Investigation: OMICS Investigations
Study: GWAS Pulse Wave Velocity
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
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
Investigation: OMICS Investigations
Study: GWAS Steroid Hormones
Human Diseases: No human diseases
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
Snapshots: No snapshots
Abstract (Expand)
Authors: M. Schmidt, L. Hopp, A. Arakelyan, H. Kirsten, C. Engel, K. Wirkner, K. Krohn, R. Burkhardt, J. Thiery, M. Loeffler, H. Loeffler-Wirth, H. Binder
Date Published: 11th Mar 2021
Publication Type: Journal article
PubMed ID: 33693414
Citation: Front Big Data. 2020 Oct 30;3:548873. doi: 10.3389/fdata.2020.548873. eCollection 2020.
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.
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: Felix S Hussenoeder, Ines Conrad, Susanne Roehr, Heide Glaesmer, Andreas Hinz, Cornelia Enzenbach, Christoph Engel, Veronika Witte, Matthias L Schroeter, Markus Loeffler, Joachim Thiery, Arno Villringer, Steffi G 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, T. Luck, S. G. Riedel-Heller, M. Loeffler, K. Wirkner, C. 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, M. Loeffler, C. Engel
Date Published: 1st Mar 2019
Publication Type: Not specified
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.
Investigations: OMICS Investigations
Studies: DNA methylation patterns reflect individual lif...
Resources: LIFE-Adult EPIC data
Investigations: OMICS Investigations
Studies: GWAS Body Scanner Measures
Resources: Summary Statistics
Investigations: OMICS Investigations
Studies: DNA methylation patterns reflect individual lif...
Resources: LIFE-Adult EPIC data
Investigations: OMICS Investigations
Studies: DNA methylation patterns reflect individual lif...
Resources: Gene Expression data
BACKGROUND: The Generalized Anxiety Disorder Scales GAD-7 and GAD-2 are instruments for the assessment of anxiety. The aims of this study are to test psychometric properties of these questionnaires, to provide normative values, and to investigate associations with sociodemographic factors, quality of life, psychological variables, and behavioral factors. METHODS: A German community sample (n=9721) with an age range of 18-80 years was surveyed using the GAD-7 and several other questionnaires. ...
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
BACKGROUND: The Pittsburgh Sleep Quality Index (PSQI) is frequently used to assess sleep problems in patients. The aim of this study was to provide reference values for this questionnaire, to test psychometric properties, and to analyze associations with psychological, sociodemographic, and behavioral factors. METHODS: A German community sample comprising 9284 adult residents (aged 18-80 years) was surveyed using the PSQI and several other questionnaires. RESULTS: According to the generally ...
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
Background/Objective: The Life Orientation Test-Revised (LOT-R) is often used to assess dispositional optimism. The aims of this study were to test psychometric properties of the LOT-R, to provide normative scores, and to test the association between optimism and several psychological, sociodemographic, and behavioral factors. Method: A randomly selected German general population community sample with an age range of 18-80 years (N = 9,711) was surveyed. Results: The Confirmatory Factor Analysis ...
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
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
Resources: No Resources
PURPOSE: The Sniffin' Sticks Screening 12 test is a test of olfactory performance based on pen-like odor dispensing devices. The aims of this study were to analyze the performance of this test in a general population sample and to explore associations between olfactory dysfunction and quality of life. METHODS: A large community sample (n = 7267) completed the Sniffin' Sticks Screening 12 test and several questionnaires measuring quality of life, anxiety, dispositional optimism, social support, ...
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. 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
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.
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
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
Creator: Katrin Horn
Submitter: Katrin Horn
Investigations: No Investigations
Studies: No Studies
Resources: No Resources
Creator: Katrin Horn
Submitter: Katrin Horn
Investigations: OMICS Investigations
Studies: DNA methylation patterns reflect individual lif...
Resources: LIFE-Adult EPIC data
Creator: Katrin Horn
Submitter: Katrin Horn
Investigations: OMICS Investigations
Studies: DNA methylation patterns reflect individual lif...
Resources: Gene Expression data
Creator: Katrin Horn
Submitter: Katrin Horn
Investigations: OMICS Investigations
Studies: DNA methylation patterns reflect individual lif...
Resources: Gene Expression data
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
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)
Creator: Janne Pott
Submitter: René Hänsel
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 (IMISE)
https://orcid.org/0000-0002-7247-282XExpertise: hereditary cancer, biometry, epidemiology
Projects: LIFE Adult, LIFE - Leipzig Research Center for Civilization Diseases
Institutions: University of Leipzig
Projects: LHA - Leipzig Health Atlas, LIFE Adult, LIFE - Leipzig Research Center for Civilization Diseases, LIFE HNC - Head and Neck Cancer Group, LIFE Heart, MMML - Molecular mechanisms in malignant lymphoma, GLA - German Lymphoma Alliance, MMML Demonstrators - Molecular Mechanisms in Malignant Lymphomas - Demonstrators of Personalized Medicine, HaematoOpt - Individualized model-based managing of the next-cycle thrombopenia of CHOEP/CHOP treated patients based on platelets dynamics during the previous cycles, e:Med, GC-HBOC - German Consortium for Hereditary Breast and Ovarian Cancer, GC-HNPCC - German Consortium for Hereditary Non-Polyposis Colorectal Cancer, MMML-MYC-SYS, NLP4CR - Natural Language Processing for Clinical Research, Genetical Statistics and Systems Biology, SepNet - German Competence Network Sepsis, LIFE Child, HNPCC-Sys - Genomic and transcriptomic heterogeneity of colorectal tumours arising in Lynch syndrome, GGN - German Glioma Network, CAPSys - Footprints of Sepsis Framed Within Community Acquired Pneumonia in the Blood Transcriptome, CapSys - Systems Medicine of Community Acquired Pneumonia, ProstataCA, HaematoSys - Systems biology of haematopoiesis and haematopoietic neoplasia, SMITH - Smart Medical Information Technology for Healthcare, Task Force COVID-19 Leipzig, NFDI4Health, POLAR - Polypharmacy, Drug Interactions, Risks, Management of health information systems, LivSys Transfer - Transfer of the LivSys in vitro system for hepatotoxicity into application, Project Test Demonstrator, Fundus photography as tool for analysis of eyes of subjects with diabetes, Clinical Trials Leipzig, NFDI4Health - TA3 Services, STOP-NUC, SCALE-TORT, EarlyAMDRate
Institutions: Institute for Medical Informatics, Statistics and Epidemiology (IMISE)
https://orcid.org/0000-0001-8344-0658Roles: Technician
Expertise: Data Management, Data analysis, Python, Html
Projects: LIFE Adult, LIFE - Leipzig Research Center for Civilization Diseases, LIFE Heart, Genetical Statistics and Systems Biology
Institutions: Institute for Medical Informatics, Statistics and Epidemiology (IMISE)
https://orcid.org/0000-0003-3668-0784Projects: LIFE Adult, LIFE - Leipzig Research Center for Civilization Diseases
Institutions: University of Leipzig
Projects: LIFE Heart, LIFE - Leipzig Research Center for Civilization Diseases, LIFE HNC - Head and Neck Cancer Group, SepNet - German Competence Network Sepsis, GC-HNPCC - German Consortium for Hereditary Non-Polyposis Colorectal Cancer, LIFE Child, GC-HBOC - German Consortium for Hereditary Breast and Ovarian Cancer, LIFE Adult
Web page: https://www.uniklinikum-leipzig.de/einrichtungen/life
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.
Taxonomy URI: http://purl.obolibrary.org/obo/DOID_3324
Synonyms: episodic mood disorder
Definitions: Updating outdated UMLS CUI., A cognitive disorder that involves an excessive, irrational dread of everyday situations.