Challenges and opportunities associated with rare-variant pharmacogenomics.
Trends Pharmacol Sci
; 43(10): 852-865, 2022 10.
Article
en En
| MEDLINE
| ID: mdl-36008164
ABSTRACT
Recent advances in next-generation sequencing (NGS) have resulted in the identification of tens of thousands of rare pharmacogenetic variations with unknown functional effects. However, although such pharmacogenetic variations have been estimated to account for a considerable amount of the heritable variability in drug response and toxicity, accurate interpretation at the level of the individual patient remains challenging. We discuss emerging strategies and concepts to close this translational gap. We illustrate how massively parallel experimental assays, artificial intelligence (AI), and machine learning can synergize with population-scale biobank projects to facilitate the interpretation of NGS data to individualize clinical decision-making and personalized medicine.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Farmacogenética
/
Inteligencia Artificial
Tipo de estudio:
Prognostic_studies
/
Risk_factors_studies
Límite:
Humans
Idioma:
En
Revista:
Trends Pharmacol Sci
Año:
2022
Tipo del documento:
Article
País de afiliación:
Suecia