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The Singapore National Precision Medicine Strategy

Authors :
Wong, Eleanor
Bertin, Nicolas
Hebrard, Maxime
Tirado-Magallanes, Roberto
Bellis, Claire
Lim, Weng Khong
Chua, Chee Yong
Tong, Philomena Mei Lin
Chua, Raymond
Mak, Kenneth
Lim, Tit Meng
Cheong, Wei Yang
Thien, Kwee Eng
Goh, Khean Teik
Chai, Jin-Fang
Lee, Jimmy
Sung, Joseph Jao Yiu
Wong, Tien Yin
Chin, Calvin Woon Loong
Gluckman, Peter D.
Goh, Liuh Ling
Ban, Kenneth Hon Kim
Tan, Tin Wee
Sim, Xueling
Cheng, Ching-Yu
Davila, Sonia
Karnani, Neerja
Leong, Khai Pang
Liu, Jianjun
Prabhakar, Shyam
Maurer-Stroh, Sebastian
Verma, Chandra Shekhar
Krishnaswamy, Pavitra
Goh, Rick Siow Mong
Chia, Irenaeus
Ho, Clarissa
Low, Doreen
Virabhak, Suchin
Yong, Jacklyn
Zheng, Weiling
Seow, Shih Wee
Seck, Yee Kwang
Koh, Mingshi
Chambers, John Campbell
Tai, E. Shyong
Tan, Patrick
Lee Kong Chian School of Medicine (LKCMedicine)
Source :
Nature Genetics. 55:178-186
Publication Year :
2023
Publisher :
Springer Science and Business Media LLC, 2023.

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. Agency for Science, Technology and Research (A*STAR) Ministry of Health (MOH) National Medical Research Council (NMRC) National Research Foundation (NRF) We thank all investigators, staf members and study participants of the contributing cohorts and studies: (1) the HELIOS study at the Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore; (2) the GUSTO study jointly hosted by the National University Hospital, KK Women’s and Children’s Hospital, the National University of Singapore and the Singapore Institute for Clinical Sciences, the Agency for Science Technology and Research (A*STAR); (3) the SEED cohort at the Singapore Eye Research Institute; (4) the MEC, National University of Singapore; (5) the PRISM cohort; and (6) the TTSH Personalised Medicine Normal Controls cohort. We also thank the National Supercomputing Centre, Singapore (https://www.ncss.sg) for computation resources. The SG10K_Health project is funded by the Industry Alignment Fund (Pre-Positioning) (IAF-PP, H17/01/a0/007); the project made use of participating study cohorts supported by the following funding sources: (1) the HELIOS study by grants from a Strategic Initiative at Lee Kong Chian School of Medicine, the Singapore MOH under its Singapore Translational Research Investigator Award (NMRC/STaR/0028/2017) and the IAF-PP (H18/01/a0/016); (2) the GUSTO study by the Singapore National Research Foundation under its Translational and Clinical Research Flagship Program and administered by the Singapore MOH’s National Medical Research Council Singapore (NMRC/TCR/004-NUS/2008, NMRC/ TCR/012-NUHS/2014) with additional funding support available through the A*STAR and the IAF-PP (H17/01/a0/005); (3) the SEED study by NMRC/CIRG/1417/2015, NMRC/CIRG/1488/2018 and NMRC/OFLCG/004/2018; (4) the MEC by individual research and clinical scientist award schemes from the Singapore National Medical Research Council (including MOH-000271-00) and the Singapore Biomedical Research Council, the Singapore MOH, the National University of Singapore and the Singapore National University Health System; (5) the PRISM cohort study by NMRC/CG/ M006/2017_NHCS, NMRC/STaR/0011/2012, NMRC/STaR/0026/2015, the Lee Foundation and the Tanoto Foundation; and (6) the TTSH cohort study by NMRC/CG12AUG2017 and CGAug16M012. This research is also supported by the National Research Foundation Singapore under its NPM program Phase II funding (MOH-000588) and administered by the Singapore MOH’s National Medical Research Council.

Details

ISSN :
15461718 and 10614036
Volume :
55
Database :
OpenAIRE
Journal :
Nature Genetics
Accession number :
edsair.doi.dedup.....4e0891b272ac6f5650a7be7ffe434da5
Full Text :
https://doi.org/10.1038/s41588-022-01274-x