Projects & Sites

The Cameron County Health Cohort (CCHC)

Leadership: Joseph McCormick (UTHealth), Piper Below (Vanderbilt University Medical Center) & Kari North (University of North Carolina)

Obesity-associated disease of the liver is a common and significant condition in American border communities. This study seeks to identify possible genes and their related elements that are associated with susceptibility and progression of liver disease in participants randomly chosen from the CCHC. We anticipate this could lead to identifying targets for intervention in this condition as well as identifying elements we could use for identifying those at high risk before they develop significant liver disease.

Columbia University Chronic Kidney Disease (Columbia-CKD)

Leadership: Krzysztof Kiryluk (Columbia University)

Chronic Kidney Disease (CKD) is a common, complex condition associated with many complications and high mortality. As part of the Multi-omics in Health and Disease consortium, we will establish a CKD Disease Study Site to evaluate if multi-omic approaches can improve precision medicine and promote CKD care.

Exposomic Profiling in Airway disease to uNravel Determinants of Asthma (EXPAND-Asthma)

Leadership: Stephanie Christenson & Neeta Thakur (University of California San Francisco)

Asthma is the most common chronic disease of childhood. Environmental exposures, including air pollution, contribute to asthma pathobiology through poorly understood mechanisms. Our goal is to improve our understanding of heterogeneous asthma pathobiology associated with environmental exposures, allowing us to better identify individuals at high risk for poor outcomes and identify place-based targets for intervention.

Longitudinal integration of environmental exposures, omics, and childhood NAFLD (LEON)

Leadership: Lida Chatzi & Max Aung (University of Southern California)

Our transdisciplinary study is the largest and most comprehensive study on environmental exposures and the underlying mechanisms driving NAFLD risk and NAFLD progression that result in health disparities in Latino children. We will integrate state-of-the-art omics signatures using data science approaches to identify robust molecular profiles that are associated with NAFLD across different disease progression stages. Findings will contribute evidence to inform precision prevention strategies for NAFLD in high-risk populations.

Multi-Omics for Maternal Health (MOM-Health)

Leadership: Louise Laurent & Marni Jacobs (University of California San Diego), Kathryn Lindley (Vanderbilt University Medical Center)

Disease Study Site aims to use multi-omic analyses of biosamples matched with comprehensive clinical information before and after delivery to uncover mechanisms leading from preeclampsia and other hypertensive diseases of pregnancy to cardiovascular disease following delivery. We strive to generate knowledge that can be used to develop strategies to predict patients at risk for later cardiovascular disease and to develop preventative therapies, improving postpartum maternal health in those most at risk for long-term morbidity and mortality.

University of Illinois Chicago Diabetes and Kidney Disease (UIC-DKD)

Leadership: Tanika Kelly (University of Illinois Chicago), Maria Argos (Boston University) & Ana Ricardo (University of Illinois Chicago) 

Our goal is to establish a diabetes and kidney disease study site (DSS) comprising 300 participants, including 200 with diabetes (half with kidney disease) and 100 healthy controls. Our DSS will be part of a collaborative initiative with an overall mission to advance the application of integrative multi-omics technologies to study health and disease.

'Omics Production Center (OPC)

Leadership: Gary Patti & Ting Wang (Washington University St. Louis)

We propose to establish the Washington University Omics Production Center (WU-omics PC) as part of the Multi-Omics for Health and Disease Consortium. The WU-omics PC will profile human genes, proteins, and metabolites by using six different omics profiling technologies. The integration of these omics datasets and others will improve our understanding of human health and potentially lead to new strategies for the early detection, prevention, and treatment of disease.

Data Analysis and Coordination Center (DACC)

Leadership: Zhiping Weng (University of Massachusetts Chan Medical School), Anshul Kundaje (Stanford University) & Bill Noble (University of Washington)

Our project aims to establish a data analysis and coordination center to coordinate and support the Consortium’s activities and maximize its success. The center will manage consortium data, coordinate and contribute to protocol development and data analysis, create a multi-dimensional dataset and a data portal, and provide outreach to disseminate consortium results.