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Qing Lan | |
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Alma mater | Weifang Medical University Chinese Academy of Preventive Medicine Johns Hopkins Bloomberg School of Public Health |
Scientific career | |
Fields | Molecular epidemiology, indoor air quality, occupational exposure, lung cancer |
Institutions | National Cancer Institute |
Qing Lan is a Chinese physician-scientist and molecular epidemiologist who researches indoor air pollution, lung cancer, and occupational exposures. She is a senior investigator in the occupational and environmental epidemiology branch at the National Cancer Institute.
Lan earned a M.D. from the Weifang Medical University in 1985. [1] [2] In 2001, she completed a Ph.D. in molecular epidemiology at the Chinese Academy of Preventive Medicine, as part of a joint training program with the U.S. Environmental Protection Agency and the University of North Carolina at Chapel Hill. [1] [2] Lan earned a M.P.H. at the Johns Hopkins Bloomberg School of Public Health. [1]
Lan was awarded National Institutes of Health (NIH) scientific tenure in 2008. [1] She uses classic epidemiologic methods, exposure assessment approaches, and biomarker platforms to evaluate relationships between exposures and cancer, and to obtain mechanistic insight. [1] [3] Lan is a senior investigator in the occupational and environmental epidemiology branch at the National Cancer Institute (NCI). [1] Her research focuses on the molecular epidemiology of indoor air pollution and lung cancer and occupational exposures to known or suspected carcinogens, as well as the etiology of hematopoietic malignancies. [1] She has conducted molecular epidemiologic studies of populations exposed to well-defined classes of chemical compounds that are known or suspected carcinogens, including polycyclic aromatic hydrocarbons (PAHs), benzene, formaldehyde, trichloroethylene, diesel, carbon black, nanoparticles, and others. [1] Lan and her colleagues apply "omic" technologies in their studies including metabolomics, genomics, epigenetics, transcriptomics, proteomics, and whole genome sequencing, as well as conduct genome-wide association studies (GWAS). [1]
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