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The International Journal of the Royal Society of Thailand
Volume XI - 2019
of precision medicine in these settings are likely to improve the effectiveness
in preventing diseases and better accuracy in diagnosing diseases. The
screening and risk stratification using the lifestyles, genetics and environment
information would likely decrease the public health cost in the long run
(Dzau et al. 2015).
The life expectancy of the Thais population is at 75 in 201X, this is shorter
than the longest life expectancy in Japanese and Singapore at 85. The diseases
with high mortality in people under 60 are the main causes of shortening
life expectancy in Thais. Many of these diseases are overlapping with the
sustainable development goals, SDSs), such as ending AIDS, ending
tuberculosis, ending viral hepatitis and infections in children under 5.
These diseases are likely to have a direct benefit from rapid diagnosis and
preventive measures using genomics technology.
The national cooperative plan for genomics Thailand (2020–2024)
declared the two most important measures to establish Thailand at the
frontier of precision medicine, the research measures and the service
measures. For the research measures, five research topics were chosen based
on the technological review. The review put emphasized the rapid clinical
utilization and readiness for services as the main priority to include these five
disease groups in the research topics. The NCP Genomics Thailand is aimed
to provide funding for implementation research to enabled precision medicine
services for these five diseases areas:
1) Cancer
2) Undiagnosed and rare diseases (UDD)
3) Non-communicable disease (NCDs)
4) Infectious diseases
5) Pharmacogenomics
In this review article, the concepts and models for implementations
of these precision medicines are described for the preventive aspects of these
diseases. These are low hanging fruit that would be soon realized by the
execution of the NCP genomics Thailand.
Keywords: cancer; genomic medicine; infectious diseases; non-communicable
diseases; pharmacogenomics
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