Abstract
In the past few years, extraordinary developments in the field
of next generation sequencing (NGS) technologies, such as
whole genome sequencing (WGS), have made it possible for
clinicians to have access to a huge amount of biological information
which could potentially explain complex genetic diagnoses,
genetic predisposition to severe diseases, reproductive
risks and inappropriate respons ...
[++]
In the past few years, extraordinary developments in the field
of next generation sequencing (NGS) technologies, such as
whole genome sequencing (WGS), have made it possible for
clinicians to have access to a huge amount of biological information
which could potentially explain complex genetic diagnoses,
genetic predisposition to severe diseases, reproductive
risks and inappropriate responses to certain medications.
These advances herald a new era of predictive preventive personalized
medicine (PPPM), although incorporation into clinical
practice has proved to be challenging [1]. “NAGEN
1000” is a Spanish regional pilot study to implement recent
advances of cutting edge genomic research technology into
real clinical practice. [--]
Subject
Predictive preventive personalized medicine,
Genomics,
Next generation sequencing,
NGS,
Whole genome sequencing,
WGS,
Rare diseases,
eHealth,
Bioinformatics,
Big data,
ICPerMed,
Multi-omics
Published in
EPMA Journal (2020) 11(Suppl 1):S1–S133
Description
Este trabajo forma parte de Golubnitschaja, O., Topolcan, O., Kucera, R. et al. 10th Anniversary of the European Association for Predictive, Preventive and Personalised (3P) Medicine - EPMA World Congress Supplement 2020. EPMA Journal 11, 1–133 (2020). https://doi.org/10.1007/s13167-020-00206-1
Departament
Universidad Pública de Navarra. Departamento de Ciencias de la Salud /
Nafarroako Unibertsitate Publikoa. Osasun Zientziak Saila
Sponsorship
The Navarra Government (Departamento de Desarrollo
Económico - Dirección General de Industria,
Energía e Innovación) supported this study through
the GEMA challenge for the Strategic R&D Projects
cal l 2017–2019, under the Regional Smart
Specialization Strategy S3.