Ontology highlight
ABSTRACT:
SUBMITTER: Lippert C
PROVIDER: S-EPMC5617305 | biostudies-literature | 2017 Sep
REPOSITORIES: biostudies-literature
Proceedings of the National Academy of Sciences of the United States of America 20170905 38
Prediction of human physical traits and demographic information from genomic data challenges privacy and data deidentification in personalized medicine. To explore the current capabilities of phenotype-based genomic identification, we applied whole-genome sequencing, detailed phenotyping, and statistical modeling to predict biometric traits in a cohort of 1,061 participants of diverse ancestry. Individually, for a large fraction of the traits, their predictive accuracy beyond ancestry and demogr ...[more]