Qing Lan, MD, PhD
Professor Adjunct of Epidemiology (Environmental Health)DownloadHi-Res Photo
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Professor Adjunct of Epidemiology (Environmental Health)
Professor Adjunct, Environmental Health Sciences
Biography
Dr. Qing Lan a world leader in environmental and occupational exposures, human health studies and gene environment interaction. Her research focuses on molecular epidemiologic studies of populations exposed to several classes of chemical compounds that are known or suspected occupational and environmental carcinogens. She is one of YSPH’s main collaborators at NCI studying environmental exposures, genetic susceptibility for NHL and multiple myeloma, indoor air pollution and gene polymorphisms for lung cancer risk in Xuanwei, China. She has mentored several YSPH PhD candidates.
Dr. Lan received her M.D. at Weifang Medical University and her Ph.D. in molecular epidemiology at the Chinese Academy of Preventive Medicine in Beijing, as part of a joint training program with the United States Environmental Protection Agency and University of North Carolina at Chapel Hill, and received her MPH at Johns Hopkins University.
Last Updated on April 07, 2025.
Appointments
Environmental Health Sciences
Professor AdjunctPrimary
Other Departments & Organizations
Education & Training
- PhD
- Chinese Academy of Preventive Medicine (2001)
- MD
- Weifang Medical College (1985)
Research
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Overview
Public Health Interests
Biomarkers; Environmental Health
ORCID
0000-0002-0888-8839
Research at a Glance
Yale Co-Authors
Frequent collaborators of Qing Lan's published research.
Publications Timeline
A big-picture view of Qing Lan's research output by year.
Nathaniel Rothman
Former YSMMelissa Friesen
Robert Homer, MD, PhD
Bonnie E Gould Rothberg, MD, PhD, MPH, MMM, FACP
Huey Cai
Lei Song, MD, PhD
66Publications
433Citations
Publications
2026
Systemic Lipid Peroxidation and Colorectal Cancer Risk: A Time‐Varying Relationship
Yang G, Milne G, Nogueira M, Gao Y, Lan Q, Yi H, Shu X, Zheng W, Chen Q. Systemic Lipid Peroxidation and Colorectal Cancer Risk: A Time‐Varying Relationship. International Journal Of Cancer 2026 PMID: 42298759, DOI: 10.1002/ijc.70585.Peer-Reviewed Original ResearchAltmetricReliability of interrater occupation coding and potential impact on occupational exposure assessment
Ge C, Friesen M, Locke S, Rothman N, Lan Q, Vermeulen R. Reliability of interrater occupation coding and potential impact on occupational exposure assessment. Annals Of Work Exposures And Health 2026, 70: wxag013. PMID: 42276589, DOI: 10.1093/annweh/wxag013.Peer-Reviewed Original ResearchMitochondrial DNA breaks and copy number and the risk of lung cancer in the Shanghai Women’s Health Study
Blechter B, Shu X, Hu W, Francis E, Zheng W, Cai Q, Cai H, Yang G, Hosgood H, Cawthon R, Lan Q. Mitochondrial DNA breaks and copy number and the risk of lung cancer in the Shanghai Women’s Health Study. Cancer Epidemiology Biomarkers & Prevention 2026, 10.1158/1055-9965.epi-26-0047. PMID: 42165669, PMCID: PMC13274563, DOI: 10.1158/1055-9965.epi-26-0047.Peer-Reviewed Original ResearchAltmetricGenetic landscape and functional exploration of kidney cancer predisposition in cross-ancestral populations
Dai H, Chu X, Du H, Yang S, Yao Y, Yu X, Zhao Y, Dong P, Lyu Z, Wang W, Li H, Mi Z, Sheng C, Li X, Zheng H, Song F, Song F, Sun M, Dai J, Lan Q, Rothman N, Hu Z, Wei Q, Ye D, Yao X, Jia W, Chanock S, Shen H, Purdue M, Li M, Chen K. Genetic landscape and functional exploration of kidney cancer predisposition in cross-ancestral populations. Nature Communications 2026, 17: 5382. PMID: 42000752, PMCID: PMC13275800, DOI: 10.1038/s41467-026-71785-2.Peer-Reviewed Original ResearchCitationsAltmetricCirculating levels of insulin‐like growth factor I (IGF‐I) and risk of multiple myeloma: An observational and Mendelian randomisation study
Benavente Y, Hermosa S, Papadimitriou N, Clay‐Gilmour A, Brown E, Hofmann J, Rothman N, Lan Q, Berndt S, Albanes D, Purdue M, Machiela M, Chanock S, Bhatti P, Cozen W, Norman A, Slager S, Cerhan J, Rajkumar V, Kumar S, Vachon C, Novak A, Habermann T, Link B, Salles G, Ghesquieres H, Bracci P, Holly E, Griffin R, Hildebrandt M, Vermeulen R, Kolijn P, Hjalgrim H, Smedby K, Jayasekara H, Cheah S, Monnereau A, Chen Y, Arslan A, Zhang Y, Camp N, Sborov D, Osman A, Ziv E, De Vivo I, Joseph V, Teras L, Patel A, Kane E, Vajdic C, Guilloteau A, Cocco P, Alemany L, Sainz J, McKay J, Birmann B, Casabonne D. Circulating levels of insulin‐like growth factor I (IGF‐I) and risk of multiple myeloma: An observational and Mendelian randomisation study. British Journal Of Haematology 2026, 208: 1942-1953. PMID: 41873017, PMCID: PMC13267475, DOI: 10.1111/bjh.70444.Peer-Reviewed Original ResearchAltmetricVariation on Toxic and Inflammatory Potential of Coal Smoke of Different Sources From a Region With High Lung Cancer Risk
Zhang Y, Hu W, Rothman N, Liu D, Li J, Xu J, Ning B, Vermeulen R, Lan Q, Cassee F, Downward G. Variation on Toxic and Inflammatory Potential of Coal Smoke of Different Sources From a Region With High Lung Cancer Risk. Environmental Toxicology 2026 PMID: 41802872, DOI: 10.1002/tox.70075.Peer-Reviewed Original ResearchCitationsGenomic Characterization of Lung Cancer in Never-Smokers Using Deep Learning
Saha M, Tran T, Bhawsar P, Zhang T, Zhao W, Hoang P, Mutreja K, Lawrence S, Rothman N, Lan Q, Homer R, Baine M, Sholl L, Joubert P, Leduc C, Travis W, Chanock S, Shi J, Yang S, Almeida J, Landi M. Genomic Characterization of Lung Cancer in Never-Smokers Using Deep Learning. Modern Pathology 2026, 39: 100973. PMID: 41638573, PMCID: PMC12975288, DOI: 10.1016/j.modpat.2026.100973.Peer-Reviewed Original ResearchAssociations Between Prior Lung Diseases and Risk of Lung Cancer in Populations With No Smoking History A Systematic Review and Meta-Analysis
Swami N, Hong J, Kho S, Kang H, Chun-Chia Lin L, Ni S, Florez N, Lan Q, Rothman N, Dee E, Gomez S, Cheng I. Associations Between Prior Lung Diseases and Risk of Lung Cancer in Populations With No Smoking History A Systematic Review and Meta-Analysis. Chest 2026, 169: 1717-1731. PMID: 41534708, PMCID: PMC13269668, DOI: 10.1016/j.chest.2025.12.034.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsCitationsAltmetricEpigenome-wide association study of household air pollution exposure in an area with high lung cancer incidence
Rahman M, Portengen L, Blechter B, Breeze C, Wong J, Hu W, Downward G, Zhang Y, Cardenas A, Ning B, Li J, Yang K, Hosgood H, Silverman D, Rothman N, Huang Y, Vermeulen R, Lan Q. Epigenome-wide association study of household air pollution exposure in an area with high lung cancer incidence. Environmental Research 2026, 292: 123690. PMID: 41500301, DOI: 10.1016/j.envres.2026.123690.Peer-Reviewed Original ResearchCitations
2025
Microbiome analysis of 940 lung cancers in never-smokers reveals lack of clinically relevant associations
McElderry J, Zhang T, Zhao W, Hoang P, Anyaso-Samuel S, Sang J, Khandekar A, Hartman C, Colón-Matos F, Miraftab M, Saha M, Lee O, Sharma S, Jones K, Zhu B, Díaz-Gay M, Mas L, Arrieta O, Edell E, Santamaría J, Schabath M, Yendamuri S, Manczuk M, Lissowska J, Świątkowska B, Mukeria A, Shangina O, Zaridze D, Holcatova I, Janout V, Mates D, Ognjanovic S, Savic M, Kontic M, Bossé Y, Gould Rothberg B, Christiani D, Gaborieau V, Brennan P, Liu G, Hofman P, Wong M, Leung K, Chen C, Hsiung C, Rothman N, Leduc C, Baine M, Travis W, Sholl L, Joubert P, Homer R, Yang S, Lan Q, Nowak M, Wedge D, Alexandrov L, Chanock S, Vogtmann E, Abnet C, Shi J, Landi M. Microbiome analysis of 940 lung cancers in never-smokers reveals lack of clinically relevant associations. Nature Communications 2025, 17: 192. PMID: 41387456, PMCID: PMC12780107, DOI: 10.1038/s41467-025-66780-y.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsCitationsAltmetric
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