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. Author manuscript; available in PMC: 2022 Jun 22.
Published in final edited form as: Nat Rev Gastroenterol Hepatol. 2022 Mar 17;19(6):399–409. doi: 10.1038/s41575-022-00593-y

Table 1 |.

A summary of prospective birth, at risk and pre-diagnostic cohorts to study IBD and related outcomes

Name of cohort, year Number of enrolled participants Cohort and/or study description primary goal Types and timing of biological samples collected Types of omics analyses conducted/planned Major published findings
Harvard Health Study cohorts, USA
Nurses’ Health Study, 1976 121,000 Pre-diagnostic; prospective cohorts of health-care providers The non-genetic causes of IBD and other diseases Blood (two separate collections), cheek cell swabs Genomics, metabolomics, proteomics Established the importance of various environmental risk factors in the development of Crohn’s disease and ulcerative colitis110112; reported on the association between plasma levels of perfluoroalkyl substances and IBD40
Nurses’ Health Study 2, 1989 117,000
Health Professionals Follow-Up Study, 1986 52,000
Preclinical cohorts, Sweden
Malmö Diet and Cancer cohort, 1991 28,000 Birth, FDRs of individuals with IBD, pre-diagnostic; prospective cohorts The causes and multiomics signatures of IBD onset and course Blood Metabolomics, proteomics Proteomic signatures in serum samples predictive of ulcerative colitis onset58
Swedish Newborn Dry Blood Spots cohort, 1975 Population-based Dried blood spots
Swedish IBD Twin cohort, 2003 >100 twin pairs Blood, intestinal biopsies, saliva and stool
Northern Sweden Health and Disease Study, 2011 135,000 Blood
Other cohorts
The Crohn’s and Colitis Canada Genetics, Environmental, Microbial (GEM) Project, 2008 5,122 FDRs; prospective cohort of FDRs of individuals with Crohn’s disease The multiomics signatures of Crohn’s disease Blood, stool and urine Genomics, metabolomics, proteomics, and microbiome analysis Genetic risk profile of FDRs of individuals with Crohn’s disease, interaction between genomic and microbiome signatures, faecal biomarkers preceding ulcerative colitis diagnosis, and antimicrobial antibody signatures predictive of Crohn’s disease onset16,92,113,114
Mechanisms of Disease Transmission In Utero Through the Microbiome (MECONIUM) cohort, USA, 2014 133 mothers with IBD and their offspring; 299 mothers without IBD and their offspring Early life, FDRs; prospective cohort of pregnant women with and without IBD and their offspring The link between maternal and offspring multiomics signatures of IBD and transmission of the microbiota Stool, saliva, vaginal swab, blood, placenta, cord blood, breast milk (mother), meconium, stool and buccal swab (offspring) Metabolomics, proteomics, microbiome analysis Microbiome signatures and elevated faecal calprotectin in offspring of women with versus without IBD59,89
Road to Prevention: A Mount Sinai Initiative, USA, 2016 667 individuals from multiplex familiesa; 94 individuals from control families Birth, FDRs; cross-sectional study design of multiplex fami1iesa with IBD with longitudinal follow-up and biospecimen collections from unaffected high-risk individuals The multiomics signatures of IBD onset Blood, stool, deciduous teeth, hair, saliva Genomics, exposome analysis, transcriptomics, proteomics, immunophenomics, microbiome analysis Clustering of IBD in multiplex familiesa(REF.14)
Twin cohort for the study of (pre) clinical IBD in the Netherlands (TWIN), 2017 124 Pre-diagnostic, FDRs; a prospective cohort of twin pairs >16 years of age discordant or concordant for IBD The causes of IBD and the early multiomics signatures of IBD Blood, urine, stool, oropharyngeal swabs, rectal biopsies Proteomics, immunophenomics, microbiome and mycobiome analysis, IgA coating of bacteria Microbiome signatures in twin pairs discordant for IBD90
Proteomic Evaluation and Discovery in an IBD Cohort ofTri-service Subjects (PREDICTS), USA, 2019 1,000 patients each with Crohn’s disease or ulcerative colitis, and 500 healthy individuals as controls Pre-diagnostic; a nested case-control study of subjects with incident IBD and healthy controls from a cohort of US military personnel The multiomics signatures of IBD onset and course Serum Genomics, metabolomics, proteomics, glycomics, metagenomics, epigenetics Proteomics signatures in serum samples predictive of Crohn’s disease onset57
IBD Tooth Fairy Study, Portugal, 2019 65 patients with IBD, 102 healthy individuals Birth, FDRs; collection and analysis of deciduous teeth of adults and children with and without IBD The effect of early life exposures and the timing of exposures on subsequent IBD risk Deciduous teeth Exposome analysis, including metals and organic compounds Differences in the levels of metals in teeth from children with and without IBD44
Mother-to-Infant Transfer of Bacteriome, Virome, Fungome and Metabolome in Health and Crohn’s Disease (Mommy-CD), Hong Kong, 2019 1,000 healthy mothers and 620 infants; 15 pregnant mothers with IBD and 5 infants Birth; prospective cohort of pregnant women with and without IBD and their offspring The link between maternal and offspring multiomics signatures of IBD and transmission of the microbiome Stool, saliva, vaginal swab, blood, placenta, cord blood, breast milk (mother); stool and saliva (father); meconium, stool and buccal swab (offspring) Metabolomics, proteomics, microbiome analysis NA
Center for Molecular Prediction of IBD (PREDICT), Denmark, 2021 10,000 IBD; 10,000 healthy individuals Birth, pre-diagnostic; national population-based prospective cohort of individuals with and without IBD The causes and multiomics signatures of IBD onset and course by combining omics data with nationwide longitudinal health register data on treatment, comorbidities and outcomes Neonatal blood spots, pre-diagnostic and post-diagnostic serum samples, and on a subset stool Genomics, geographic information system, metabolomics, proteomics, epigenetics, metagenomics, exposome NA

FDR, first-degree relative; IBD, inflammatory bowel disease; NA, not applicable.

a

Families with two or more members with IBD.