Please use this identifier to cite or link to this item: https://doi.org/10.1038/s41588-022-01274-x
Title: The Singapore National Precision Medicine Strategy
Authors: Wong E
Bertin N
Hebrard M
Tirado-Magallanes R 
Bellis C
Lim WK 
Chua CY 
Tong PML
Chua R 
Mak K
Lim TM 
Cheong WY
Thien KE
Goh KT
Chai JF 
Lee J 
Sung JJ
Wong TY 
Chin CWL 
Gluckman PD 
Goh LL
Ban KHK 
Tan TW 
Sim X 
Cheng CY 
Davila S 
Karnani N 
Leong KP
Liu J 
Prabhakar S
Maurer-Stroh S 
Verma CS 
Krishnaswamy P
Goh RSM 
Chia I
Ho C
Low D
Virabhak S 
Yong J 
Zheng W 
Seow SW 
Seck YK
Koh M
Chambers JC
Tai ES 
Tan P. 
SG10K_Health Consortium
Issue Date:  19
Publisher: Nature Publishing Group
Citation: Wong E, Bertin N, Hebrard M, Tirado-Magallanes R, Bellis C, Lim WK, Chua CY, Tong PML, Chua R, Mak K, Lim TM, Cheong WY, Thien KE, Goh KT, Chai JF, Lee J, Sung JJ, Wong TY, Chin CWL, Gluckman PD, Goh LL, Ban KHK, Tan TW, Sim X, Cheng CY, Davila S, Karnani N, Leong KP, Liu J, Prabhakar S, Maurer-Stroh S, Verma CS, Krishnaswamy P, Goh RSM, Chia I, Ho C, Low D, Virabhak S, Yong J, Zheng W, Seow SW, Seck YK, Koh M, Chambers JC, Tai ES, Tan P., SG10K_Health Consortium (19/1/2023). The Singapore National Precision Medicine Strategy. Nature Genetics 55 (2) : 178-186. ScholarBank@NUS Repository. https://doi.org/10.1038/s41588-022-01274-x
Abstract: Precision medicine promises to transform healthcare for groups and individuals through early disease detection, refining diagnoses and tailoring treatments. Analysis of large-scale genomic-phenotypic databases is a critical enabler of precision medicine. Although Asia is home to 60% of the world's population, many Asian ancestries are under-represented in existing databases, leading to missed opportunities for new discoveries, particularly for diseases most relevant for these populations. The Singapore National Precision Medicine initiative is a whole-of-government 10-year initiative aiming to generate precision medicine data of up to one million individuals, integrating genomic, lifestyle, health, social and environmental data. Beyond technologies, routine adoption of precision medicine in clinical practice requires social, ethical, legal and regulatory barriers to be addressed. Identifying driver use cases in which precision medicine results in standardized changes to clinical workflows or improvements in population health, coupled with health economic analysis to demonstrate value-based healthcare, is a vital prerequisite for responsible health system adoption.
Source Title: Nature Genetics
URI: https://scholarbank.nus.edu.sg/handle/10635/238276
ISSN: 1061-4036
1546-1718
DOI: 10.1038/s41588-022-01274-x
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