Metabolomics GWAS Server Documentation



  1. Querying the database
    1. Query by rsID
    2. Query by gene symbol
  2. The results page
  3. Integrated and linked resources
  4. Browser compatibility
  5. How to cite


Querying the database


Using the search page is quite intuitive. Following the numbering of the input fields, you can specify your data set, cohort, and association and query type of interest.


Query by rsID


If you choose to search by rsID, you can also specify an LD threshold for tag-SNP search. If the form is filled in correctly, it looks like this:


query page


If you hit the "Query Database" button, you retrieve the results of your query. On the top of the page, information on the input SNP is given, followed by tagging variants featuring associations in the study you selected:


results page


Query by gene symbol


If you choose to search by HGNC gene symbol, this activates auto-completion on the entered search term which suggests gene symbols of genes that are contained in our database:


query page



The results page


Independent of the query input you have chosen, the results page always contains a list of SNPs that match your search (if there are any, of course):


results page


The contents of the columns are the following:




Integrated and linked resources


The following resources are included in/interlinked with the data in the Metabolomics GWAS Server:




Browser compatibility


The Metabolomics GWAS Server has been tested with the following browsers:



If you should encounter browser-related problems, please contact us!



How to cite


To reference this resource, please cite this paper:

Suhre K, Shin SY, Petersen AK, Mohney RP, Meredith D, Wägele B, Altmaier E; CARDIoGRAM, Deloukas P, Erdmann J, Grundberg E, Hammond CJ, de Angelis MH, Kastenmüller G, Köttgen A, Kronenberg F, Mangino M, Meisinger C, Meitinger T, Mewes HW, Milburn MV, Prehn C, Raffler J, Ried JS, Römisch-Margl W, Samani NJ, Small KS, Wichmann HE, Zhai G, Illig T, Spector TD, Adamski J, Soranzo N, Gieger C.
Human metabolic individuality in biomedical and pharmaceutical research.
Nature. 2011 Aug 31;477(7362):54-60.
doi: 10.1038/nature10354.