The Complex Diseases and Data Management communites of SeRC are hosting a kickoff for the SeRC flagship project – e-Science for Cancer Prevention and Cure (eCPC). eCPC integrates the SeRC communities Data Management (DM), Complex Diseases (COM) and Distributed an Parallel Technologies (DPT) with the objective to apply eScience technologies to model cancer initiation and progression, and to enable scientists to test prevention and cure strategies in silico and on real data. The project requires, and will establish, an interoperable data- and computational infrastructure, addressing issues such as data interoperability, security, and privacy.




The EGG (Early Growth Genetics) Consortium represents a collaborative effort to combine data from multiple genome-wide association studies (GWAS) in order to identify additional human genome loci that have an impact on a variety of traits related to early growth.

EGG Data Submission Guide

EGG Data Analyzer Guide



ENGAGE (European Network for Genetic and Genomic Epidemiology) is a research project funded with 12 million Euros by the European Commission under the 7th Framework Programme-Health Theme (2008-2012). Services for data management, harmonisation and sample availability portal for the ENGAGE cohorts as well as for the EUTwin and other sample collections outside ENGAGE:




BIOBANQUES is a large-scale integrating project for French human biobanks and microorganism BRCs, led by experts and senior clinicians from all areas of biobanking. BIOBANQUES will interface with key stakeholders including researchers, private industry, universities, hospitals, competitiveness clusters and, patients associations.

BIOBANQUES is a distributed infrastructure that builds on landscape of biobanks distributed all over France including disease-oriented studies and population-based cohorts. BIOBANQUES federates 70 biobanks and mBRCs and involves over 200 research teams. The infrastructure will build on previous and ongoing national initiatives.

The aim of BIOBANQUES is to take French collection of biological resources to a new level of coordination and efficiency, by setting up a sustainable infrastructure that will provide new services, better access from users from public and private sector, develop public private partnerships, interface with the pan European infrastructure BBMRI and EMbaRC/MIRRI and support French biobanks and mBRCs in increasing the value and the use of their collections.


SIROCCO research  consortium includes over 30 partners and aims to explore the full complement of miRNAs and siRNAs in animals and plants. Using bioinformatics, genomics, biochemistry, cell biology and genetics, the consortium members study how these RNAs are produced and processed, how they are transported and how they target specific genes and RNAs for silencing.

The outputs of SIROCCO will include databases of silencing RNA sequence and function in several organisms, new technologies for detection and manipulation of these RNAs, and information that will allow siRNA and miRNA profiles to be used as molecular markers and diagnostic methods for natural biological variation including the perturbations associated with disease.


SUMMIT (Surrogate markers for vascular Micro- and Macrovascular hard endpoints for Innovative diabetes Tools) is part of the joint undertaking by the EU and the pharmaceutical industry under the name IMI (Innovative Medicines Initiative). The 40 million dollar collaboration of 18 research groups is coordinated by Boehringer Ingelheim International GmbH and the Diabetes Center at Lund University (LUDC).

Services for harmonization of summary phenotypic information across multiple cohorts contributing to SUMMIT support estimation of sample that are available for specific case-control analysis, and identification of the most valuable research subjects for GWAS studies.

MBC (Meilahti Campus Biobank) is joint effort between FIMM and its partner organizations National Institute for Health and Welfare (THL), Hospital District of Helsinki and Uusimaa (HUS) and University of Helsinki (HY).

Availability database is part of the Web portal of the MCB. Purpose of the portal is to give information on sample and data resources available on the biobank and provide easy to use query interface for resource discovery. The portal is based on the SAIL application.

HUNT Biosciences offers access to HUNT Databank, a fully established Norwegian population-based prospective biobank, leveraging more than 25 years of medical records and biological samples, representing a regional cohort of close to 100.000 individuals. In addition to genetic samples, HUNT Databank comprise more than 800 exposure variables and nearly 3000 different variables per individual. HUNT Databank is part of the Faculty of Medicine, Norwegian University of Science and Technology (NTNU) in Trondheim and a part of Norwegian branch ( of international strategic initiative – Biobanking and Biomolecular Resources Research Infrastructure.

Collaboration between HUNT Biosciences and SIMBioMS (as a part of the HUNT Scientific Inventory project) resulted in harmonisation of three collections of HUNT databank with the ENGAGE cohorts (10 sample collections). The availability information concerning metabolic syndrome data ( is one of multiple case studies carried out by SIMBioMS as a part of BBMRI and ELIXIR initiatives.


MolPAGE, EU P6 integrated project, brought  together a consortium of 19 leading academic institutions, biotechnology and pharmaceutical companies.  The consortium aimed to tackle diabetes and one of its major complications, vascular disease, through the development and application of a range of genomic, proteomic and metabonomic technology platforms to carry out ‘molecular phenotyping’ on a medium to epidemiological scale.




Stem-cell therapy for CVD patients (Russian Federation)

A database of post-myocardial infarction patients treated in 6 hospitals in Russia using stem cells. Department of Fundamental Medicine, Moscow State university:



The MuTHER project is undertaking a coordinated program of analysis designed to understand the relationships between genome sequence variation, methylation status, mRNA expression and disease phenotypes. The project aims to develop a resource of detailed genetic (SNP-genotyping; re-sequencing) and genomic (expression; methylation) data from a range of tissues (adipose, skin, skeletal muscle, lymphocytes and lymphoblastoid cell lines) collected from a set of ~900 well-phenotyped UK twins, as to support efforts to understand mechanisms involved in common trait susceptibility.

Leave a Reply