TY - JOUR
T1 - Multiomics to elucidate inflammatory bowel disease risk factors and pathways
AU - Agrawal, Manasi
AU - Allin, Kristine H.
AU - Petralia, Francesca
AU - Colombel, Jean Frederic
AU - Jess, Tine
N1 - Publisher Copyright:
© 2022, Springer Nature Limited.
PY - 2022/6
Y1 - 2022/6
N2 - Inflammatory bowel disease (IBD) is an immune-mediated disease of the intestinal tract, with complex pathophysiology involving genetic, environmental, microbiome, immunological and potentially other factors. Epidemiological data have provided important insights into risk factors associated with IBD, but are limited by confounding, biases and data quality, especially when pertaining to risk factors in early life. Multiomics platforms provide granular high-throughput data on numerous variables simultaneously and can be leveraged to characterize molecular pathways and risk factors for chronic diseases, such as IBD. Herein, we describe omics platforms that can advance our understanding of IBD risk factors and pathways, and available omics data on IBD and other relevant diseases. We highlight knowledge gaps and emphasize the importance of birth, at-risk and pre-diagnostic cohorts, and neonatal blood spots in omics analyses in IBD. Finally, we discuss network analysis, a powerful bioinformatics tool to assemble high-throughput data and derive clinical relevance.
AB - Inflammatory bowel disease (IBD) is an immune-mediated disease of the intestinal tract, with complex pathophysiology involving genetic, environmental, microbiome, immunological and potentially other factors. Epidemiological data have provided important insights into risk factors associated with IBD, but are limited by confounding, biases and data quality, especially when pertaining to risk factors in early life. Multiomics platforms provide granular high-throughput data on numerous variables simultaneously and can be leveraged to characterize molecular pathways and risk factors for chronic diseases, such as IBD. Herein, we describe omics platforms that can advance our understanding of IBD risk factors and pathways, and available omics data on IBD and other relevant diseases. We highlight knowledge gaps and emphasize the importance of birth, at-risk and pre-diagnostic cohorts, and neonatal blood spots in omics analyses in IBD. Finally, we discuss network analysis, a powerful bioinformatics tool to assemble high-throughput data and derive clinical relevance.
UR - http://www.scopus.com/inward/record.url?scp=85126827724&partnerID=8YFLogxK
U2 - 10.1038/s41575-022-00593-y
DO - 10.1038/s41575-022-00593-y
M3 - Review article
C2 - 35301463
AN - SCOPUS:85126827724
SN - 1759-5045
VL - 19
SP - 399
EP - 409
JO - Nature Reviews Gastroenterology and Hepatology
JF - Nature Reviews Gastroenterology and Hepatology
IS - 6
ER -