Omics is a set of disciplines related to biochemistry and molecular biology which enable knowledge to be gained in analytical terms regarding the characteristics and overall content of a biological sample.
They focus on studying the entire pool of a specific type of biomolecules and processing all the data provided by the different disciplines offers a comprehensive view of the sample structured in different levels or layers of information.
The creation of biobanks and anatomical pathology laboratories has enabled the collection of a large number of samples, which have been analysed from the perspective of the different omic disciplines (genomics, transcriptomics, proteomics, metabolomics, nutrigenomics, epigenomics, among others) to obtain new information from a biological phenomenon. Up to now, these sciences have enabled the creation of biomarkers that are associated with or predict a particular biological process, either normal or leading to disease.
Health systems will be able to use the information obtained from “omics” to treat the most frequent conditions among the population using personalized medicine. At the same time, the data generated by this discipline must respect the ethical and legal aspects established by the legislation, in order to protect the anonymity of individuals, and the use that is made of this data, for research or for care, must be clearly established.
Sampling and packaging process until analysis
Decoding genime’s nucleotide command
Identifying disease’s cause variant by bioinformatics
Providing clinical information from data analysis
Industry, pharmaceuticals or healthcare services
PDF available for download soon
Deploy specific actions within the framework of PERIS 2021-27 (Strategic Plan for Health Research and Innovation).
Assess the applicability of omics in the fields of research and care services.
Analyse the current legislative framework to incorporate the aspect of data protection (DPD) in this field.
Incorporate information on omics testing into the medical history of patients in centres and integration in the Shared Electronic Healthcare Record (HC3/HES).
Structure the model for sharing omics data (reuse for research) and communication between centres (interoperability).
Subscriu-te i rep cada mes novetats i notícies al teu email