Identification of Biomarkers for the Prevention of Chronic Disease
Boccia S., Liu J., Demirkan A., van Duijn C., Mariani M., Castagna C., Pastorino R., Fiatal S., Pikó P., Ádány R., Bottà G.
© 2021, The Editor(s) and Author(s), under exclusive license to Springer Nature Switzerland AG. One of the goals of personalised medicine (PM) is to use the ever-growing understanding of biology to provide a higher level of precision in disease prevention and patient care. PM strategies include the use of decision-making processes based on biomarker-driven approaches. Genes, gene expression products (i.e. transcripts and proteins) and metabolites are the main biomarker families. Given this molecular diversity of biomarkers, the increase in high-throughput omics technologies offers an amazing opportunity to capture the whole picture of biological systems in a hypothesis-free and unbiased model. This chapter examines as the high-throughput era in omics is progressing and as genomics and other omics will be effective in disentangling the aetiology and progression of the diseases.