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Patrick Tan

As seen in: Medium, Nature, Gut Journal, Genome Biology, Genome Medicine, The American Journal of Human Genetics, Cell Press, EBioMedicine, BBN Times, LUXUO and
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Articles

Translating genomic data into healthcare practice with the Singapore National Precision Medicine program

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By Theresia Mina, Maxime Hebrard, Nilanjana Sadhu, Claire Bellis, Pritesh P. Jain, Xiaoyan Wang, Tavintharan Subramaniam, Sharon L.T. Pek, Hwee Lin Wee, Joanne Ngeow, Ken Redekop, Alec Morton, Kar Hui Ng, David Bruce Matchar, Yi Wang, Mikael Hartman, Jingmei Li, Jiali Yao, Wei Huang, Nanyang Technological, Eleanor Wong, Doreen Low, Irenaeus Chia, Yasmin Bylstra, Weng Khong Lim, Saumya Shekhar Jamuar, Tamra Lysaght, Weiling Zheng, Jimmy Lee, Sabrina Wong, Khung Keong Yeo, Ching-Yu Cheng, Charumathi Sabanayagam, Xueling Sim, Boon Cher Goh, Chiea Chuen Khor, Nicolas Bertin, Ee Shien Tan, Max Lam, E. Shyong Tai, John Chambers, Patrick Tan, Pierre Vincent-Goy, Singapore Epidemiology, PRECISE-CIP Consortium, Kriti Sethi, Ruifen Weng, Marthe Smedinga, Mingshi Koh
| Nature Verified
Abstract The Singapore National Precision Medicine (NPM) program is a three-phase whole-of-nation effort designed to develop scalable, evidence-based solutions for precision health tailored to Asia’s diverse populations. Here we present NPM phase II (2020–2025), highlighting how large-scale precision medicine initiatives can drive new research insights, enable healthcare innovations and create economic value.
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Building a Precision Health Ecosystem: Singapore’s Approach to Innovation through the Clinical Implementation Pilots

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By Rebecca Caeser, David Bruce Matchar, Mikael Hartman, Yi Wang, Jingmei Li, Ken Redekop, Tavintharan Subramaniam, Hwee Lin Wee, John Chambers, Patrick Tan, Ee Shien Tan, Kar Hui Ng, Joanne Ngeow, E Shyong Tai, Doreen Low, Irenaeus Chia, Goh Boon Cher, Suchin Virabhak
| Nature Verified
Abstract The Clinical Implementation Pilots (CIPs) within Singapore’s National Precision Medicine (NPM) programme are designed to integrate genomic testing into clinical pathways for conditions including hereditary cancers, familial hypercholesterolemia, breast cancer, primary glomerular disease, and pharmacogenomics.
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Genomic landscape of drug binding and pharmacogenetic variation across diverse populations using SNPdrug3D

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By Ashar Malik, Dimitar Kenanov, Cheng-Shoong Chong, Mert Öztürk, Qiqi Wang, Maxime Hebrard, Ying Swan Ho, Zhenxun Wang, Srinivasaraghavan Kannan, Roberto Magallanes, Xueling Sim, Jin Chai, Sonia Davila, Khung Keong Yeo, Khai Pang Leong, Liuh Ling Goh, Neerja Karnani, Johan Eriksson, Ching-Yu Cheng, Marie Loh, Rinkoo Dalan, Chiea Chuen Khor, Guo-Liang Chew, Weng Khong Lim, Joanne Ngeow, John Chambers, E. Shyong Tai, Nicolas Bertin, Patrick Tan, Chandra Verma, Sebastian Maurer-Stroh, Hong-Yun Chang, Vachiranee Limviphuvadh, Jhoann M. T. Miyajima, Judice Koh
| Nature Verified
Abstract One of the promises of precision medicine is to understand and act on inter-individual genetic differences in drug responses. SNPdrug3D contains the complete genomic landscape of missense single nucleotide variants (SNV) across the human proteome and at a population-wide level that could affect drug binding.
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