Genetical Statistics and Systems Biology

Resutls of different OMICS-level using LIFE Adult and LIFE Heart data are presented (Publications, Supplemental Data, & Summary Statistics).

Summary statistics of Meta-GWAS of odour identification.

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

Summary statistics of Meta-GWAS results will be made available upon acceptance of our manuscript.

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 ...

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.

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.

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.

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.

Summary statistics of a meta GWAS of odour identification. For each investigated odour, combined and sex-stratified results are uploaded. GWAS catalogue format for summary statistics is used. Only genetic variants present in at least two studies are included.

Included columns:

• chromosome
• base_pair_location (hg38)
• effect_allele
• other_allele
• beta
• standard_error
• effect_allele_frequency
• p_value
• variant_id
• info
• n
• n_stud
• I2
• het_chi_sq
• het_df
• het_p_value
• direction

Summary Statistics used in publication

To provide data input and result from a scRNA-Seq integration workflow

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) ...

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 ...

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) ...

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 ...

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“.

A principled approach to parametrize SIR-type epidemiologic models of different complexities by embedding the model structure as a hidden layer into a general Input-Output Non-Linear Dynamical System (IO-NLDS). Non-explicitly modelled impacts on the system are imposed as inputs of the system. Observable data are coupled to hidden states of the model by appropriate data models considering possible biases of the data. We estimate model parameters including their time-dependence by a Bayesian knowledge ...

This shiny app facilitates the download and searching of the summary statistics from "Dissecting the genetics of the human transcriptome identifies novel trait-related trans-eQTLs and corroborates the regulatory relevance of non-protein coding loci" (https://doi.org/10.1093/hmg/ddv194).

This Shiny-App implements the calculation of several CAP (Community-Aquired-Pneumonia) severity scores for one or multiple patients based on user-updated data.

Preprocessing Illumina HT12v4 gene expression data including quality filtering, data transformation and normalisation and batch-effect removal as well as visualisation

The main goal is to provide a principled analysis workflow addressing specific issues of mass-spectrometry metabolite measurements in the context of testing in multiple studies with a high number of hypotheses

Shiny-Application of an analysis pipeline for preprocessing, association and covariate selection of metabolite data with clinical and lifestyle factors in one or more seperate studies. Preprocessing steps include transformation, outlier filtering and batch-adjustment. Analyses include uni- ...

Summary of the current COVID-19 pandemic development in Leipzig and Saxony. This work was done as part of the NFDI4Health Task Force COVID-19 (nfdi4health.de). We gratefully acknowledge the financial support of the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – Project Number 451265285.

Summary of the current COVID-19 pandemic development in Leipzig and Saxony. This work was done as part of the NFDI4Health Task Force COVID-19 (nfdi4health.de). We gratefully acknowledge the financial support of the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – Project Number 451265285.

Summary of the current COVID-19 pandemic development in Leipzig and Saxony. This work was done as part of the NFDI4Health Task Force COVID-19 (nfdi4health.de). We gratefully acknowledge the financial support of the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – Project Number 451265285.

Summary of the current COVID-19 pandemic development in Leipzig and Saxony. This work was done as part of the NFDI4Health Task Force COVID-19 (nfdi4health.de). We gratefully acknowledge the financial support of the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – Project Number 451265285.

Summary of the current COVID-19 pandemic development in Leipzig and Saxony. This work was done as part of the NFDI4Health Task Force COVID-19 (nfdi4health.de). We gratefully acknowledge the financial support of the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – Project Number 451265285.

Summary of the current COVID-19 pandemic development in Leipzig and Saxony. This work was done as part of the NFDI4Health Task Force COVID-19 (nfdi4health.de). We gratefully acknowledge the financial support of the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – Project Number 451265285.

Summary of the current COVID-19 pandemic development in Leipzig and Saxony. This work was done as part of the NFDI4Health Task Force COVID-19 (nfdi4health.de). We gratefully acknowledge the financial support of the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – Project Number 451265285.

Summary of the current COVID-19 pandemic development in Leipzig and Saxony. This work was done as part of the NFDI4Health Task Force COVID-19 (nfdi4health.de). We gratefully acknowledge the financial support of the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – Project Number 451265285.

Summary of the current COVID-19 pandemic development in Leipzig and Saxony. This work was done as part of the NFDI4Health Task Force COVID-19 (nfdi4health.de). We gratefully acknowledge the financial support of the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – Project Number 451265285.

Summary of the current COVID-19 pandemic development in Leipzig and Saxony. This work was done as part of the NFDI4Health Task Force COVID-19 (nfdi4health.de). We gratefully acknowledge the financial support of the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – Project Number 451265285.