Translating genotype data of 44,000 biobank participants into clinical pharmacogenetic recommendations: challenges and solutions

摘要

Purpose: Biomedical databases combining electronic medical records and phenotypic and genomic data constitute a powerful resource for the personalization of treatment. To leverage the wealth of information provided, algorithms are required that systematically translate the contained information into treatment recommendations based on existing genotype-phenotype associations.