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Cohort Profile: Precision Environmental Health Cohort of Healthy Undergraduates

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摘要 Precision medicine, often termed “personalized medicine,” aims to enhance the categorization and timing of healthcare interventions by leveraging biological data and biomarkers at the molecular level, including disease pathways, genet-ics, proteomics, and metabolomics (Schleidgen et al. 2013). Over the past decades, with the continuous advancement of omics technologies, numerous studies have utilized vari-ous methods such as genomics, transcriptomics, proteom-ics, and others to investigate personalized biomarkers and therapeutic targets for a variety of diseases including cancer, diabetes, asthma, and so on. In addition to genetics, environ-mental exposures profoundly affect human health, exhibiting significant intra-individual variability and influencing the success of interventions (Goetz and Schork 2018). Conse-quently, conducting comprehensive investigations into indi-vidual-level precise environmental exposures is valuable for understanding individual health and interactions with the environment.
出处 《Phenomics》 2025年第3期301-310,共10页 表型组学(英文)
基金 National Natural Science Foundation of China(82404365,82404278) Noncommunicable Chronic Diseases-National Science and Technology Major Project(2023ZD0513200) the Fundamental Research Funds for the Central Universities(No.3332023042) Peking Union Medical College Graduate Innovation Fund(No.2019-1004-02) the China Postdoctoral Science Foundation(Nos.2023M730317,and 2023T160066) the Open Project of Hebei Key Laboratory of Environment and Human Health(No.202301) The special fund of State Environmental Protection Key Laboratory of Environmental Health Impact Assessment of Emerging Contaminants(SEPKL-EHIAEC-202205) the Non-profit Central Research Institute Fund of Chinese Academy of Medical Sciences(2022-JKCS-11) CAMS Innovation Fund for Medical Sciences(No.2022-I2M-JB-003) China Medical Board(Grant No.15-230) China Prospective cohort study of Air pollution and health effects in Typical areas(C-PAT)(Grant No.MEE-EH-20190802).
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