How to contribute?

We are working on a solution to provide you with a form-based interface for the submission of new content.
In the meantime, the submission of content is done as follows:

As a contributor, you just have to grep the LHA Excel Template below and submit it to the LHA team. Whenever you decide to hand in an entity, you can generate respective LHA IDs below. For details on how to fill the Excel, see Guided Tour: Ontology-Based Specification and Import of Content Into the Leipzig Health Atlas.

For each entry, you have to decide if attachments, e.g., data sets with patient data, binaries of programmatic models or images, should be accessible by everyone, or if the access should be restricted to specific user groups (e.g., your research group or institute), determined by a whitelist.

After your submission, expect the following scenarios to occur:

  • People will download and try your provided public attachments.
  • Some of them will have a greater interest and will try to contact you to get more information or to pose questions.
  • A fraction of the interested people will cite you, or even want to start a cooperation.

LHA ID Generator

Specify the number of LHA-IDs to be generated.

Entity List

LHA-ID Title Content type
7Q6RC8V1MA-0 Frequency of somatic symptoms in the general population: Normative values for the Patient Health Questionnaire-15 (PHQ-15). Publication
7Q6RC71R0K-8 Frontomedian cortex is central for moral deficits in behavioural variant frontotemporal dementia. Publication
7Q6RC5E2RF-4 Functional connectivity in major depression: increased phase synchronization between frontal cortical EEG-source estimates. Publication
7Q0CFRJM1M-6 Function Shapes Content: DNA-Methylation Marker Genes and their Impact for Molecular Mechanisms of Glioma Publication
7Q6RC5M0YN-9 Further evidence for a role of S100B in mood disorders: a human gene expression mega-analysis. Publication
7Q0CE8DEYG-9 GC-HBOC Mutation Frequency Explorer Model
7Q0CR2P3QT-0 Gene expression patterns and TP53 mutations are associated with HPV RNA status, lymph node metastasis, and survival in head and neck cancer (clinical Dataset) Clinical Dataset
7Q0CR2P3UY-3 Gene expression patterns and TP53 mutations are associated with HPV RNA status, lymph node metastasis, and survival in head and neck cancer (OMICS) OMICS Dataset
7Q0CTG2ND8-7 Genetical Statistics and Systems Biology Project
7Q6RC7520Y-4 Genetic dyslexia risk variant is related to neural connectivity patterns underlying phonological awareness in children. Publication
7Q6RC87VUD-0 Genome-wide association analysis of actigraphic sleep phenotypes in the LIFE Adult Study Publication
7Q0CF98R63-6 Genome-wide methylome analysis using MethylCap-seq uncovers 4 hypermethylated markers with high sensitivity for both adeno- and squamous-cell cervical carcinoma. Publication
7Q6RC6CKR2-1 Genomic and epigenomic co-evolution in follicular lymphomas. Publication
7RU97PWEMJ-6 Genomic and transcriptomic heterogeneity of colorectal tumours arising in Lynch syndrome Project
7R9DAYFH5X-6 Genomic and transcriptomic heterogeneity of colorectal tumours arising in Lynch syndrome. Publication
7RXFFC96XM-1 Genomic profiling reveals distinctive molecular relapse patterns in IDH1/2 wild-type glioblastoma. Publication
7Q0CE8DEEW-2 German Consortium for Hereditary Breast and Ovarian Cancer Project
7Q0CEYUJ25-4 German Consortium for Hereditary Non-Polyposis Colorectal Cancer Project
7Q0CF98QUE-7 German Glioma Network Project
7Q0CV4F4C4-1 Haematotox calculator Model