The Singapore National Precision Medicine Strategy

被引:0
|
作者
Eleanor Wong
Nicolas Bertin
Maxime Hebrard
Roberto Tirado-Magallanes
Claire Bellis
Weng Khong Lim
Chee Yong Chua
Philomena Mei Lin Tong
Raymond Chua
Kenneth Mak
Tit Meng Lim
Wei Yang Cheong
Kwee Eng Thien
Khean Teik Goh
Jin-Fang Chai
Jimmy Lee
Joseph Jao-Yiu Sung
Tien Yin Wong
Calvin Woon Loong Chin
Peter D. Gluckman
Liuh Ling Goh
Kenneth Hon Kim Ban
Tin Wee Tan
Xueling Sim
Ching-Yu Cheng
Sonia Davila
Neerja Karnani
Khai Pang Leong
Jianjun Liu
Shyam Prabhakar
Sebastian Maurer-Stroh
Chandra Shekhar Verma
Pavitra Krishnaswamy
Rick Siow Mong Goh
Irenaeus Chia
Clarissa Ho
Doreen Low
Suchin Virabhak
Jacklyn Yong
Weiling Zheng
Shih Wee Seow
Yee Kwang Seck
Mingshi Koh
John C. Chambers
E. Shyong Tai
Patrick Tan
机构
[1] Agency for Science,Genome Institute of Singapore
[2] Technology and Research,Centre for Genomics and Personalised Health, Genomics Research Centre, School of Biomedical Sciences
[3] Queensland University of Technology,Cancer & Stem Cell Biology Program
[4] SingHealth Duke-NUS Institute of Precision Medicine,Saw Swee Hock School of Public Health
[5] SingHealth Duke-NUS Genomic Medicine Centre,Department of Psychosis
[6] Duke-NUS Medical School,Lee Kong Chian School of Medicine
[7] Integrated Health Information Systems,Singapore Eye Research Institute
[8] Ministry of Health,Department of Cardiology
[9] Science Centre Singapore,Singapore Institute for Clinical Sciences
[10] Sentosa Development Corporation,Liggins Institute
[11] National University of Singapore and National University Health System,Personalised Medicine Service
[12] Institute of Mental Health,Department of Biochemistry, Yong Loo Lin School of Medicine
[13] Nanyang Technological University,Ophthalmology & Visual Sciences Academic Clinical Program (Eye ACP)
[14] Singapore National Eye Centre,Centre for Innovation & Precision Eye Health, Yong Loo Lin School of Medicine
[15] National Heart Centre Singapore,Department of Ophthalmology, Yong Loo Lin School of Medicine
[16] Agency for Science,Cardiovascular and Metabolic Disorders Program
[17] Technology and Research,Bioinformatics Institute
[18] University of Auckland,Yong Loo Lin School of Medicine
[19] Tan Tock Seng Hospital,Department of Biological Sciences
[20] National Supercomputing Centre,Institute for Infocomm Research
[21] National University of Singapore,Institute of High Performance Computing
[22] Duke-NUS Medical School,Department of Epidemiology and Biostatistics, School of Public Health Faculty of Medicine
[23] National University of Singapore,Cancer Science Institute of Singapore
[24] National University of Singapore,Department of Nutrition
[25] Duke-NUS Medical School,Exercise and Nutrition Sciences, Milken Institute School of Public Health
[26] Agency for Science,Endocrinology
[27] Technology and Research,Ophthalmology
[28] National University of Singapore,Ophthalmology & Visual Sciences Academic Clinical Program
[29] National University of Singapore,Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine
[30] Agency for Science,undefined
[31] Technology and Research,undefined
[32] Agency for Science,undefined
[33] Technology and Research,undefined
[34] Precision Health Research,undefined
[35] Biomedical Sciences Industry Partnership Office,undefined
[36] Chief Health Scientist’s Office,undefined
[37] Ministry of Health,undefined
[38] Imperial College London,undefined
[39] Duke-NUS Medical School,undefined
[40] National University of Singapore,undefined
[41] Harvard T.H. Chan School of Public Health,undefined
[42] the George Washington University,undefined
[43] National Skin Centre,undefined
[44] National Healthcare Group,undefined
[45] National Cancer Centre Singapore,undefined
[46] Tan Tock Seng Hospital,undefined
[47] Tan Tock Seng Hospital,undefined
[48] Duke-NUS Medical School,undefined
[49] National University of Singapore,undefined
[50] KK Women’s and Children’s Hospital,undefined
来源
Nature Genetics | 2023年 / 55卷
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摘要
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.
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页码:178 / 186
页数:8
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