Active Grants

    Metabolomics

  • Addressing Sparsity in Metabolomics Data Analysis

    Role: Multi-PI (Kechris, Ghosh); NIH/NCI U01 CA235488 2018-2022

    In metabolomics data, there is sparsity in individual metabolites due to a large percentage of missing data due to biological and technical reasons, and sparsity in connections between metabolites due to high collinearity and sparsely connected networks in metabolic pathways. We will develop methods and software that accounts for sparsity to maximize the potential of metabolomics data.

    Alcohol Research

  • Genome-wide Identification of miRNAs Associated with Alcoholism Endophenotypes

    Role: PI; NIH/NIAAA R01 AA021131 2013-2019 (NCE)

    The goals of this project are 1) to perform high-throughput miRNA brain expression profiling in a large panel of RI mice and 2) to identify miRNAs and respective target mRNA expressed in the brain associated with the predisposition to alcoholism endophenotypes.

    Chronic Obstructive Pulmonary Disease (COPD)

  • Omics Data Integration to Identify Disease Pathways in COPD

    Role: Multi-PI (Kechris, Bowler, Banaei-Kashani); NIH/NHLBI R21 HL140376 2017-2019

    This project will integrate -omics datasets using machine learning to identify pathways that can serve as novel diagnostic and therapeutic targets for chronic obstructive pulmonary disease, and for molecular subtyping of this complex and heterogeneous disease.

  • Biomarker of Lung Disease in African Americans

    Role: Multi-PI (Bowler, Kechris); NIH/NHLBI R01 HL137995 2018-2022

    There are very few studies in COPD that address risk factors and molecular pathogenesis in African Americans. This proposal will use three existing NHLBI cohorts to identify blood signatures that can identify who will be at risk for developing smoking related lung disease in African Americans.

    Diabetes

  • Epigenetic Marks of In Utero Exposure to Gestational Diabetes

    Role: Multi-PI (Dabelea, Yang, Kechris); NIH/NIDDK R01 DK100340 2014-2019 (NCE)

    The overarching hypothesis of this project is that exposure to maternal GDM in utero will be associated with changes in DNA methylation patterns of key genes/pathways in the offspring and that these epigenetic changes will mediate the association between in utero exposure and childhood/adolescence adiposity-related outcomes.