Evaluating and sharing global genetic ancestry in biomedical datasets.
Genetic ancestry is a critical co-factor to study phenotype-genotype associations using cohorts of human subjects. Most publicly available molecular datasets are, however, missing this information or only share self-reported race and ethnicity, representing a limitation to identify and repurpose datasets to investigate the contribution of ancestry to diseases and traits. We propose an analytical framework to enrich the metadata from publicly available cohorts with genetic ancestry information and a resulting [...]
Author(s): Harismendy, Olivier, Kim, Jihoon, Xu, Xiaojun, Ohno-Machado, Lucila
DOI: 10.1093/jamia/ocy194