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Genome wide association studies (GWAS) are hypothesis-free methods for identifing associations between genetic regions (loci) and traits (including diseases).
Resutls of different OMICS-level using LIFE Adult and LIFE Heart data are presented (Publications, Supplemental Data, & Summary Statistics).
Health Atlas ID: 7WAD3R7GH9-5
Projects: Genetical Statistics and Systems Biology, LIFE Adult, LIFE Heart
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Created: 16th May 2019 at 16:39
Last updated: 9th Sep 2020 at 12:15
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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
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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
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.
The LIFE-Heart study recruited 7,000 patients with suspected coronary heart disease, manifest heart disease or myocardial infarction. All patients received coronary angiography so that the vascular status in the heart is precisely known. In principle, this examination is not feasible in population-related studies. In addition, the patients were thoroughly examined with regard to the general vascular status and the health of the cardiovascular system. Extensive environmental factors were recorded.
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Organisms: Homo sapiens
Human Diseases: cardiovascular system disease
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
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Programme: Epidemiology
Public web page: http://life.uni-leipzig.de/en/adults/life_adult.html
Start date: 1st Jan 2009
Organisms: Homo sapiens
Human Diseases: mood disorder, dementia, coronary artery disease, obesity
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
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)
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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
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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
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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
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: Carl Beuchel, Holger Kirsten, Uta Ceglarek, Markus Scholz
Date Published: 16th Nov 2020
Publication Type: Journal article
DOI: 10.1093/bioinformatics/btaa967
Citation: Bioinformatics,btaa967
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: J. Pott, F. Beutner, K. Horn, H. Kirsten, K. Olischer, K. Wirkner, M. Loeffler, M. Scholz
Date Published: 30th May 2020
Publication Type: Journal article
Human Diseases: cardiovascular system disease, atherosclerosis
PubMed ID: 32469969
Citation: PLoS One. 2020 May 29;15(5):e0233728. doi: 10.1371/journal.pone.0233728. eCollection 2020.
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: J. Pott, R. Burkhardt, F. Beutner, K. Horn, A. Teren, H. Kirsten, L. M. Holdt, G. Schuler, D. Teupser, M. Loeffler, J. Thiery, M. Scholz
PubMed ID: 28282560
Citation: Atherosclerosis. 2017 Apr;259:32-40. doi: 10.1016/j.atherosclerosis.2017.02.018. Epub 2017 Feb 24.
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: 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, 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, ProstataCA, SMITH - Smart Medical Information Technology for Healthcare, COVID-19 Leipzig, Management of health information systems
Institutions: Institute for Medical Informatics, Statistics and Epidemiology

Roles: 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
