Multi-Institutional Genome Programs are designed to perform advanced clinical genome interpretation using large-scale datasets and sophisticated tools across a network of participating institutions. The overarching goal of these programs
is to develop a systematic framework for identifying and interpreting genomic alterations from whole genome sequencing (WGS) data to investigate the genetic etiology of disease. By integrating joint genome analysis of probands and
unaffected family members (e.g., trio, quad) with Human Phenotype Ontology (HPO)-based tools featuring AI-driven capabilities, we investigate the genomic landscape and informative de novo and inherited genetic variants. These aggregated
genomic datasets provide robust resources that can be used to map genome variation, reveal a spectrum of genetic variants with potential functional impact, and chart disease risk factors across diverse populations.
