Inflammatory bowel disease (IBD) is a chronic complex disease of the gastrointestinal (GI) tract. Patients with IBD can experience a wide range of symptoms, but the pathophysiological mechanisms that cause these individual differences in clinical presentation remain largely unknown. Consequently, IBD is currently classified into subtypes using clinical characteristics. If we are to develop a more targeted treatment approach, molecular subtypes of IBD need to be discovered that can be used as new targets for treatment. To discover these molecular subtypes of IBD, we need multiple layers of molecular data generated from the same IBD patients.
The department of Gastroenterology and Hepatology of the University Medical Center Groningen initiated the 1000IBD project to prospectively follow more than a 1000 IBD patients from the Northern provinces of the Netherlands. We have collected a uniquely large number of phenotypes and generated multi-omics profiles for these patients. To date, 1,215 participants have been enrolled in the 1000IBD project, and enrolment is on-going. Patients that participate in the 1000IBD project are followed prospectively and the phenotype data includes information on dietary and environmental factors, and drug response. Genome information has been generated using genotyping (ImmunoChip, Global Screening Array, and HumanExomeChip), and sequencing (whole exome sequencing, and targeted resequencing of IBD susceptibility loci), transcriptome information generated using RNA-sequencing of intestinal biopsies, and microbiome information generated using both sequencing of the 16S rRNA gene and whole genome shotgun metagenomic sequencing.
All molecular data generated within the 1000IBD project will be shared on the European Genome-Phenome Archive (www.ega-archive.org, accession no: EGAS00001002702). The first data release, on December 15th, 2017 contains basic phenotypes for 1,215 participants, genotypes of 473 participants, and gut microbiome data from stool samples generated by tag sequencing the 16S gene of 313 participants. Future releases will comprise many additional phenotypes and -omics data layers. 1000IBD data can be used by other researchers as a replication cohort, a dataset to test new software tools, or a dataset for applying new statistical models.
The software infrastructure of 1000IBD was co-financed by BBMRI-NL, http://www.bbmri.nl
The 1000IBD data is available at the European Genome-phenome Archive (EGA): https://ega-archive.org/studies/EGAS00001002702
A more extensive description of the 1000IBD project is published: Imhann et al. The 1000IBD project: multi-omics data of 1000 inflammatory bowel disease patients; Data release 1
When using 1000IBD data, please cite: Imhann et al. The 1000IBD project: multi-omics data of 1000 inflammatory bowel disease patients; Data release 1