Multi-Omics for Health and Disease (MOHD*)

Contributing NIH Institutes:
National Human Genome Research Institute (NHGRI)
National Cancer Institute (NCI)
National Institute of Environmental Health Sciences (NIEHS)

*MOHD: pronounced “mode”

The Multi-Omics for Health and Disease Consortium aims to advance the application of multi-omic technologies to study health and disease in ancestrally diverse populations.

Events
Funding Opportunities
Websites
Program Staff

Background

While single ‘omic analyses have produced valuable insights, recent studies have shown that integrative (or multi-omic) analysis approaches can improve the classification of disease into clinically relevant subgroups and potentially identify biomarkers of health or disease. Multi-omic analyses can also help define relationships among ‘omic data types to unravel biological networks regulating transitions from health to disease. This initiative is expected to produce consensus approaches, best practices, and standards that can be generalized across diseases and populations. It will also generate a standardized and harmonized dataset for general research use available through controlled-access processes as well as a portal for visualization. Ultimately, this program will enhance the utility of ‘omic technologies in understanding the biology of health and disease.

Program Goals

The Multi-Omics for Health and Disease Consortium is a collaborative initiative that will advance the application of multi-omic technologies to study health and disease in ancestrally diverse populations. By leveraging disease contexts where multi-omic approaches are expected to be most impactful, the proposed consortium will

Examine the use of multiple ‘omics data, combined with phenotypic and environmental exposure data, including social determinants of health (SDOH), to detect and assess molecular “profiles” associated with healthy and diseased states as well as transitions from health to disease or vice versa.
Leverage this collaborative analysis to develop generalizable data harmonization, integration, and analysis methods, as well as best practices and standards for the optimal application of multi-omics technologies across clinical conditions.
Create a standardized and harmonized multi-dimensional data set that is widely available to the broader research community, is interoperable with existing resources, and upholds data sharing and privacy principles. This rich data set will include 1) persons from ancestrally diverse populations; 2) persons with and without specific diseases; 3) harmonized and standardized phenotypic and environmental exposure data; 4) harmonized and standardized data for all or most ‘omes for each biosample; 5) data from multiple time points; and 6) associated meta-data to facilitate links across data types.

While this program may provide some insights into disease etiology, its primary goal is to validate and enhance generalizable multi-omic approaches to identify meaningful biological changes related to health or disease.

The consortium will include 3 components:

up to 6 Disease Study Sites that will enroll participants and capture phenotypic and environmental exposure data to study clinical conditions for which integrative multi-omics would be particularly impactful in defining associations with healthy and disease states.
one or two ‘Omics Production Centers that will utilize high-throughput molecular assays to produce: genomic, epigenomic, transcriptomic, proteomic, and metabolomic data.
one Data Analysis and Coordination Center that will focus on coordinating protocol development, consortium logistics, and the production and release of a multi-dimensional data set that is available to the scientific community.

Grantee Information

Principal Investigators	Institution (Contact PI)	Title	Component
Vaia Lida Chatzi*, Max Aung, Fotini Mitsinikos, Nathan Pavlovic, David Conti, Alaina Vidmar, Tanya Alderete	University of Southern California	Longitudinal integration of environmental exposures, omics, and childhood NAFLD (LEON) Study	Disease Study Site**
Stephanie Christenson*, Neeta Thakur, Stephanie Holm, John Balmes, Tuuli Lappalainen	University of California, San Francisco	EXposomic Profiling in Airway disease to uNravel Determinants of disease in Asthma (EXPAND-Asthma) Center	Disease Study Site**
Tanika Kelly*, Ana Ricardo, Maria Argos, Hua Chen, Martha Daviglus, Jennifer HerbertBeirne, James Lash, Robert Sargis, Tamar Sofer	University of Illinois at Chicago	Multi-Omics at the Intersections of Environment, Diabetes, and Kidney Disease: A Multi-Omics for Health and Disease Study Site	Disease Study Site**
Krzysztof Kiryluk*, Elizabeth Cohn, Iuliana Ionita-Laza, George Hripcsak, Ana Navas-Acien, Gary Miller, Maya Sabatello, Shayan Shirazian, Teena Zachariah, Ali Gharavi	Columbia University	Multi-Omics for Chronic Kidney Disease	Disease Study Site
Louise Laurent*, Kathryn Lindley, Ravi Shah, Mana Parast, Mariko Horii, Marni Jacobs, Jennifer Below, Kathleen Fisch	University of California, San Diego	Multi-Omics for Maternal Health after Preeclampsia	Disease Study Site
Joseph McCormick*, Jennifer Below, Kari North, Susan Fisher-Hoch, Absalon Gutierrez	University of Texas, Health Science Center Houston	Multi-omics for obesity-associated liver disease discovery in Hispanics/Latinos: the Cameron County Hispanic Cohort	Disease Study Site***
Gary Patti*, Ting Wang, Shamim Mollah, Leah Shriver	Washington University	Washington University Omics Production Center	Omics’ Production Center
Zhiping Weng*, Anshul Kundaje, William Noble, Honghuang Lin, Jill Moore	University of Massachusetts Medical School Worcester	Multi-Omics DACC: The Data Analysis and Coordination Center for the collaborative multi-omics for health and disease initiative	Data Analysis and Coordinating Center***

*Contact PI
**Co-funded by NIEHS
***Co-funded by NCI

Concept Clearance

From the February 7, 2022 NHGRI Advisory Council Meeting:

Concept Document

Slides

News

NIH awards $50.3 million for “multi-omics” research on human health and disease
September 12, 2023

Events

Multi-Omics for Health and Disease Pre-applicant Webinar
September 26, 2022

Frequently Asked Questions

Multi-Omics in Health and Disease: Current Applications, Challenges and Future Directions
June 17-18, 2021

Funding Opportunities

RFA-HG-22-008: Multi-Omics for Health and Disease - Disease Study Sites (U01 Clinical Trial Optional)
Application Due Dates: November 18, 2022
Expiration Date: November 19, 2022

NOT-HG-23-006: Notice of Change in the Number of Disease Study Sites (DSSs) in RFA-HG-22-008 “Multi-Omics for Health and Disease - Disease Study Sites (U01 Clinical Trial Optional)”

RFA-HG-22-009: Multi-Omics for Health and Disease - 'Omics Production Centers (U01 Clinical Trial Not Allowed)
Application Due Dates: November 18, 2022
Expiration Date: November 19, 2022

NOT-HG-23-007: Notice of Change in the Number of Disease Study Sites (DSSs) in RFA-HG-22-009 “Multi-Omics for Health and Disease - 'Omics Production Centers (U01 Clinical Trial Not Allowed)”

RFA-HG-22-010: Multi-Omics for Health and Disease - Data Analysis and Coordination Center (U01 Clinical Trial Not Allowed)
Application Due Dates: November 18, 2022
Expiration Date: November 19, 2022

NOT-HG-23-008: Notice of Change in the Number of Disease Study Sites (DSSs) in RFA-HG-22-010 “Multi-Omics for Health and Disease - Data Analysis and Coordination Center (U01 Clinical Trial Not Allowed)”

NOT-HG-22-034: Notice of Pre-Application Webinar for Multi-Omics for Health and Disease (RFA-HG-22-008; RFA-HG-22-009; and RFA-HG-22-010)

Contact: Please send all questions to MultiOmicsProgram@mail.nih.gov.