The purpose of this NOFO is to announce support for meritorious research projects that address research questions relevant to human dental, oral, or craniofacial (DOC) biology, and diseases and conditions, through analysis of existing and publicly available genomic data, with or without other types of complementary data, using statistical and computational approaches. Data analysis for each project can be performed using existing and/or novel methods to be developed in the proposed project(s), including methods for data and metadata mining, data integration, and Artificial Intelligence (AI)/Machine Learning (ML)/Deep Learning (DL) methods. In addition to analysis of existing data, experimental or in silico work is required to validate the results of the proposed analysis, or to validate a newly developed analytic method. Projects aimed at understanding oral health disparities to inform strategies for improving health for all individuals are a priority. Projects focused on investigating and/or characterizing human biological pathways to inform identification of intervention targets or defining the pathogenicity of known genetic variants are encouraged.