The Singapore national precision medicine strategy

• Main 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
• Other Authors: Lee Kong Chian School of Medicine (LKCMedicine)
• Format: Article
• Language: English
• Published: 2023
• Subjects: Science::Medicine; Clinical Practice; Genomics
• Online Access: https://hdl.handle.net/10356/169090
• Institution: Nanyang Technological University

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.