Ontology highlight
ABSTRACT:
SUBMITTER: Graim K
PROVIDER: S-EPMC10402189 | biostudies-literature | 2023 Jul
REPOSITORIES: biostudies-literature
Smith Leslie A LA Cahill James A JA Graim Kiley K
Research square 20230727
Gold standard genomic datasets severely under-represent non-European populations, leading to inequities and a limited understanding of human disease [1-8]. Therapeutics and outcomes remain hidden because we lack insights that we could gain from analyzing ancestry-unbiased genomic data. To address this significant gap, we present PhyloFrame, the first-ever machine learning method for equitable genomic precision medicine. PhyloFrame corrects for ancestral bias by integrating big data tissue-specif ...[more]