BBMRI METABOLOMICS CONSORTIUM
The BBMRI Metabolomics Consortium is a consortium of Dutch Biobanks in which for over 25,000 people 1H-NMR Metabolomics profiles have been generated on the Nightingale Health/Brainshake platform. The metabolomics data and additional phenotypic data is available for the scientific research community.
The mission of the BBMRI Metabolomics Consortium is to create an infrastructure for metabolomics technology, for the storage, processing and analysis of metabolomics data, and to bring together BBMRI Biobanks focusing on the predictive value of metabolomics profiles for disease, and the ability to link metabolomics data with a diversity of clinically relevant phenotypes and endpoints, and with other genomic data generated within BBMRI.
The field of metabolomics has rapidly been evolving. New technologies in high-throughput metabolomics allow for an efficient profiling of metabolites in body fluids of large cohorts of human subjects. These metabolomic profiles represent a functional readout of the physiological state of the human body, basically a person’s metabolic phenotype (metabotype). Such metabotypes may provide novel biomarkers for complex traits and diseases such as cardiovascular disease, migraine and inflammatory disorders. Dutch Biobanks are a valuable resource for the investigations for novel biomarkers for. More than 20 Dutch biobanks, involving over 25,000 samples, are currently collaborating within the BBMRI Metabolomics Consortium. Nightingale Health (formerly known as Brainshake) measured their metabolomics platform using 1H-NMR in standardized manner in all samples.
Participating Cohorts and their Characteristics
|VUNTR||Netherlands Twin Register||link|
|NESDA||Netherlands Study of Depression and Anxiety||link|
|HELIUS||Healthy Life in an Urban Setting||link|
|CHECK||Cohort Heup En Cohort Knie|
|STEMI_GIPS-III||Glycometabolic Intervention as adjunct to Primary percutaneous intervention in ST elevation myocardial infarction|
|LLS_PARTOFFS||Leiden Longevity Study (Offspring and their partners)||link|
|GARP||Genetics of ARthritis en Progression||link|
|CODAM||Cohort on Diabetes and Atherosclerosis Maastricht|
|BIOMARCS||BIOMarker study to identify the Acute risk of a Coronary Syndrome||link|
|DMS||De Maastricht Studie||link|
|DZS_WF||Diabetes ZorgSysteem West Friesland||link|
|UCORBIO||Utrecht Coronary Biobank|
|ERF_ERGO||Erasmus Rotterdam Gezondheid Onderzoek (Rotterdam Studie)||link|
|ALPHAOMEGA||Alpha Omega Trial||link|
|PROSPER||Prospective Study of Pravastatin in the Elderly at Risk|
|LLS_SIBS||Leiden Longevity Study (Nonagenarians)||link|
Access to BBMRI Metabolomics Consortium data
Access to BBMRI Metabolomics Consortium data using a centralized computational facility
For BBMRI-NL researchers, all data shared by participating biobanks, metabolomics data and limited phenotypes, on all individuals can be analyzed on centralized computational facilities, namely the LifeScience Grid and the SurfSARA High Performance Computing cloud (https://userinfo.surfsara.nl/systems/grid/new-users). The advantage of this approach is that all available data can be analyzed (including those with a privacy aspect), but the data cannot be downloaded and a relatively strict security protocol has to be adopted.
Please, fill out the following forms to request for access to the BBMRI Metabolomics Consortium data:
Overview of current data requests: No data requests have been made yet.
The BBMRI BIOS consortium has in parallel with the Metabolomics Consortium generated DNA Methylation and Gene expression data. At the wiki http://wiki.bbmri.nl/wiki/BIOS_start- which is created by the BBMRI BIOS consortium you can also find all the information concerning data requests, access and processing.
P. Eline Slagboom1, Dorret I. Boomsma2, Cornelia van Duijn3
1. Molecular Epidemiology Section, Department of Medical Statistics and Bioinformatics, Leiden University Medical Center, Leiden, The Netherlands
2. Department of Psychiatry, VU University Medical Center, Neuroscience Campus Amsterdam, Amsterdam, The Netherlands
3. Department of Genetic Epidemiology, ErasmusMC, Rotterdam, The Netherlands
29 March 2017