Detecting personalized determinates during drug treatment from omics big data.

BACKGROUNDS: The targeted therapy is the foundation of personalized medicine in cancer, which is often understood as the right patient using the right drug. Thinking from the viewpoint of determinates during personalized drug treatment, the genetics, epigenetics and metagenomics would provide individual-specific biological elements to characterize the personalized responses for therapy.

METHODS: Such personalized determinates should be not extremely understood as specificity for only one person, while they should have certain replicate observations in a group of individuals but no all, which actually provide more credible and reproducible personalized biological features. And the requirement of detecting personalized determinates is well supported by novel high-throughput sequencing technologies and newly temporal-spatial experimental protocols, which quickly produce the omics big data.

RESULTS: In this mini-review, we would like to give a brief introduction firstly on the advanced drug or drug-like therapy with genetics, epigenetics and metagenomics respectively from the viewpoint of personalized determinates; then summarize the computational methods helpful to analyze the corresponding omics data under the consideration of personalized biological context; and particularly focus on the metagenomics to discuss current data, method, and opportunity for personalized medicine.

CONCLUSIONS: Totally, detecting personalized determinates during drug treatment from omics big data will bring the precision medicine or personalized medicine from concept to application. More and more inspiring bio-technologies, data resources, and analytic approaches will benefit All of US in the near future.