Bioinformatics and genomics for opening new perspective for personalized care

Area of Science:

• Genomics
• Bioinformatics
• Personalized Medicine

Background:

• The integration of genomics and bioinformatics offers a novel approach to personalized care.
• The concept of genome/omics-based personalized care has evolved significantly with technological advancements.

Purpose of the Study:

• To describe the evolution of genome/omics-based personalized care through its three generations.
• To highlight the potential of personalized care driven by genomic and bioinformatics data.

Main Methods:

• Analysis of the evolution of personalized care strategies.
• Categorization of personalized care into three distinct generations based on data types and complexity.

Main Results:

• First generation: Personalized care based on germline genome sequence polymorphism (e.g., pharmacogenetics, disease risk prediction).
• Second generation: Personalized care utilizing omics data from somatic cells for disease classification, diagnosis, and prognosis.
• Third generation: Personalized care focused on systems-level understanding of complex diseases and pathways.

Conclusions:

• Genome/omics-based personalized care has progressed through distinct generational stages.
• Future personalized care will likely involve a holistic, system-level understanding of complex diseases.