Pharmacogenomics (PGx) studies the impact of genetic factors on drug response phenotypes. Atomic knowledge units in PGx have the form of ternary relationships linking one or more drugs, one or more genetic factors, and one or more phenotypes. Such relationships state that a patient having the specified genetic factors and being treated with the specified drugs is likely to experience the given phenotypes. PGx knowledge is of particular interest for the development of precision medicine which aims at tailoring drug treatments to each patient to reduce adverse effects and maximize drug efficacy. However, PGx knowledge is scattered across many sources (e.g., reference databases, the biomedical literature) and suffers from very heterogeneous levels of validation, i.e., some PGx relationships are extensively studied and have been translated into clinical practice, but most are only observed on small-size cohorts or not reproduced yet and necessitate further investigation. Consequently, there is a strong interest in extracting and integrating knowledge units from these different sources into a unique place to provide a consolidated view of the state-of-the-art knowledge of this domain and drive to the validation, or moderation, of insufficiently validated knowledge units. To this aim, we created and share with the community two resources: PGxCorpus and PGxLOD.