The National Institutes of Health is establishing the Multi-Omics for Health and Disease Consortium, with approximately $11 million awarded in the consortium’s first year of funding. The new consortium aims to advance the generation and analysis of “multi-omic” data for human health research.
Multi-omics refers to a research approach that incorporates several “omics” data types derived from different research areas — such as genomics, epigenomics, transcriptomics, proteomics and metabolomics. Each of these data types reveals distinct information about different aspects of a biological system, and leveraging all these data types at once is becoming increasingly possible with advances in high-throughput technologies and data science.
The integration of multiple types of data from an individual participant’s biological sample can provide a more holistic view of the molecular factors and cellular processes involved in human health and disease, including untangling genetic and non-genetic factors in health and disease. Such an approach offers great promise in areas such as defining disease subtypes, identifying biomarkers and discovering drug targets.
Approximately half of the awarded funds will support the work of six disease study sites, which will examine conditions such as fatty liver diseases, hepatocellular carcinoma, asthma, chronic kidney disease and preeclampsia, among others. The sites will enroll research participants, at least 75% of whom will be from ancestral backgrounds underrepresented in genomics research. The sites will also collect data on participants’ environments and social determinants of health to be used in conjunction with the multi-omics data. Combining the multi-omic and environmental data can offer an even more comprehensive view of the factors that contribute to disease risk and outcomes.
Specimens provided by participants will be processed at the omics production center, which will use high-throughput molecular assays to generate genomic, epigenomic, transcriptomic, proteomic and metabolomic data that will be analyzed to generate molecular profiles of disease and non-disease states. The data analysis and coordination center will then incorporate all of this data into large, organized datasets that will be made available to the scientific community for further studies.
Approximately $50.3 million will be awarded to the consortium over five years, pending the availability of funds. The award is funded jointly by NHGRI, the National Cancer Institute (NCI) and the National Institute of Environmental Health Sciences (NIEHS).
Disease study sites and principal investigators
- Louise Laurent, M.D., Ph.D., University of California, San Diego
- Krzysztof Kiryluk, M.D., Columbia University — New York City
- Stephanie Christenson, M.D., University of California, San Francisco — co-funded with NIEHS
- Vaia Lida Chatzi, M.D., Ph.D., University of Southern California Keck School of Medicine — Los Angeles — co-funded with NIEHS
- Tanika N. Kelly, M.D., M.P.H., Tulane University — New Orleans — co-funded with NIEHS
- Joseph McCormick, M.D., University of Texas Health Science Center — Houston — funded by NCI
Omics production center and principal investigator
- Gary J. Patti, Ph.D., Washington University — St. Louis
Data analysis and coordinating center and principal investigator
- Zhiping Weng, Ph.D., University of Massachusetts Chan Medical School — Worcester — co-funded with NCI
