A personalized pharmaco-epistatic network model of precision medicine

被引:3
|
作者
Feng, Li [1 ]
Yang, Wuyue [2 ]
Ding, Mengdong [1 ]
Hou, Luke [3 ]
Gragnoli, Claudia [4 ,5 ,6 ]
Griffin, Christopher [7 ]
Wu, Rongling [1 ,2 ,8 ]
机构
[1] Beijing Forestry Univ, Coll Biol Sci & Technol, Ctr Computat Biol, Beijing 100083, Peoples R China
[2] Beijing Yanqi Lake Inst Math Sci & Applicat, Beijing 101408, Peoples R China
[3] Ward Melville High Sch, East Setauket, NY 11733 USA
[4] Penn State Coll Med, Dept Publ Hlth Sci, Hershey, PA 17033 USA
[5] Creighton Univ, Dept Med, Div Endocrinol, Sch Med, Omaha, NE 68124 USA
[6] Bios Biotech Multidiagnost Hlth Ctr, Mol Biol Lab, I-00197 Rome, Italy
[7] Penn State Univ, Appl Res Lab, University Pk, PA 16802 USA
[8] Tsinghua Univ, Yau Math Sci Ctr, Beijing 100084, Peoples R China
关键词
Epistasis; genetic network; personalized medicine; association studies; functional mapping; functional graph theory; ERA; ENVIRONMENT; LOCI;
D O I
10.1016/j.drudis.2023.103608
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Precision medicine, the utilization of targeted treatments to address an individual's disease, relies on knowledge about the genetic cause of that individual's drug response. Here, we present a functional graph (FunGraph) theory to chart comprehensive pharmacogenetic architecture for each and every patient. FunGraph is the combination of functional mapping - a dynamic model for genetic mapping and evolutionary game theory guiding interactive strategies. It coalesces all pharmacogenetic factors into multilayer and multiplex networks that fully capture bidirectional, signed and weighted epistasis. It can visualize and interrogate how epistasis moves in the cell and how this movement leads to patient-and context-specific genetic architecture in response to organismic physiology. We discuss the future implementation of FunGraph to achieve precision medicine.
引用
收藏
页数:9
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