Skip to main content
Qingling Duan PhD
 Qingling Duan
Position(s)
Assistant Professor
Queen's National Scholar in Bioinformatics
Contact Info
613-533-6356
18 Stuart Street

Faculty Bio

Lab Website: http://Duanlab.ca

Academic Appointments
2012-2015 Instructor in Medicine, Harvard Medical School & Brigham and Women’s Hospital
2009-2012 Postdoctoral Fellowship, Harvard Medical School & Brigham and Women’s Hospital
2002-2009 Ph.D. in Human Genetics, McGill University
1999-2002 B.Sc. in Biology, McGill University

Funding/Awards
2016-2017       William M. Spear Endowment Fund in Pulmonary Research (Co-Investigator)
2016-2020       Canadian Institutes of Health Research (Co-Investigator)
2016-2017       Canadian Foundation for Innovation 
2016-2018       Queen's Research Leaders' Fund, Queen's University
2015-2016       University Hospitals Kingston Foundation (Co-Investigator)
2015-2020       Queen’s National Scholar, Queen’s University
2013-2015       Pathway to Independence (K99), National Heart, Lung and Blood Institute (NHLBI)
2009-2012       Postdoctoral Fellowship, Canadian Institutes of Health Research
2006-2008       Doctoral Research Award, Heart and Stroke Foundation of Canada
2006-2009       Doctoral Research Award, Fonds de Recherche en Santé du Québec (Declined)

Genomics and Pharmacogenomics
The primary objective of my research is to identify genomic factors that regulate drug response or susceptibility to multifactorial diseases (e.g. asthma, COPD, cardiovascular diseases and various cancers). My research focus stems from my graduate studies in Human Genetics at McGill University and my postdoctoral training with the respiratory genomics/pharmacogenomics group in the Channing Division of Network Medicine at Harvard Medical School. Specifically, I have used statistical and machine-learning methods to identify novel genomic factors correlated with variable esponse or adverse reactions to drugs commonly prescribed for cardiovascular or respiratory diseases. My current research integrates variable biomedical data (i.e. genomics, transcriptomics and epigenomics) for gene-based, network-based as well as gene-environment interaction analyses to identify novel genomic regulators of disease risk (e.g., asthma, COPD, diabetes) and other clinical outcomes (e.g. symptom severity, lung function). This work is in collaboration with clinicians and basic scientists across multiple disciplines at Queen’s, Kingston General Hospital, Hotel-Dieu Hospital, the Canadian Respiratory Research Network (CRRN), The Allergy, Genes and Environment Network (AllerGen), as well as other national and international centers.

Research Interests:

Please visit our lab website: Duanlab.ca

Selected Publications:

1.    Brehm JM, Ramratnam SK, Tse SM, Croteau-Chonka DC, Pino-Yanes M, Rosas-Salazar C, et al., Stress and Bronchodilator Response in Children with Asthma. Am J Respir Crit Care Med. 2015 Jul 1;192(1):47-56. doi:10.1164/rccm.201501-0037OC
2.    Qiu W, Rogers AJ, Damask A, Raby BA, Klanderman BJ, Duan QL, et al., Pharmacogenomics: Novel Loci Identification via Treatment-Specific eQTL Analysis. Hum Mol Genet. 2014 Sep 15;23(18):5017-24. doi: 10.1093/hmg/ddu191.
3.    Himes BE, Jiang X, Wagner P, Hu R, Klanderman BJ, Whitaker RM, et al., RNA-seq Transcriptome Profiling Identifies CRISPLD2 as a Novel Glucocorticoid Responsive Gene that Regulates Immune Response in Airway Smooth Muscle Cells. PLoS One. 2014 Jun 13;9(6):e99625. doi: 10.1371/journal.pone.0099625
4.    Park HW, Dahlin A, Tse S, Duan QL, Schuemann B, Martinez FD, et al., Genetic predictors associated with improvement of asthma symptoms in response to inhaled corticosteroids. J Allergy Clin Immunol. 2014 Mar;133(3):664-9.e5.
5.    Duan QL*, Lasky-Su J*, Himes BE, Qiu W, Litonjua AA, Damask A, et al., A genome-wide association study of bronchodilator response in asthmatics. Pharmacogenomics J. 2014 Feb;14(1):41-7. *Co-authors
6.    Duan QL, Du R, Lasky-Su J, Klanderman B, Partch AB, Peters SP, et al., Association of transcription factor genes with bronchodilator response in asthmatics. Pharmacogenomics J. 2013 Apr;13(2):130-6. doi: 10.1038/tpj.2011.56.
7.    Cilia La Corte AL, Carter AM, Rice GI, Duan QL, Rouleau GA, Adam A, et al., A functional XPNPEP2 promoter haplotype leads to reduced plasma aminopeptidase P and increased risk of ACE inhibitor-induced angioedema. Hum Mutat. 2011 Nov;32(11):1326-31. doi: 10.1002/humu.21579.
8.    Tantisira KG, Lasky-Su J, Harada M, Murphy A, Litonjua AA, Lange C, et al., Genome-wide Association Analysis of Asthma Steroid Treatment Response Identifies GLCCI1 as a Novel Pharmacogenetic Locus. N Engl J Med. 2011 Sep 29;365(13):1173-83. doi: 10.1056/NEJMoa0911353.
9.    Grundberg E, Adoue V, Kwan T, Ge B, Duan QL, Lam KCL, et al., Global analysis of the impact of environmental perturbation on cis-regulation of gene expression. PLoS Genet. 2011 Jan 20;7(1):e1001279. doi: 10.1371/journal.pgen.1001279.
10.    Duan QL, Gaume BR, Hawkins GA, Himes BE, Bleecker ER, Klanderman B, et al., Regulatory haplotypes in ARG1 are associated with altered bronchodilator response. Am J Respir Crit Care Med. 2011 Feb 15;183(4):449-54. doi: 10.1164/rccm.201005-0758OC.
11.    Harada M, Hirota T, Jodo AI, Hitomi Y, Sakashita M, Tsunoda T, et al., TSLP Promoter Polymorphisms are Associated with Susceptibility to Bronchial Asthma. Am J Respir Cell Mol Biol. 2011 Jun;44(6):787-93. doi: 10.1165/rcmb.2009-0418OC.

Qingling Duan Lab

Please visit our lab website: http://Duanlab.ca 

The Duan lab is part of the Department of Biomedical & Molecular Sciences (DBMS) and the School of Computing. Our lab space is situated on the 5th floor of Botterell Hall with additional office space for data analysis located on the 6th floor of Goodwin Hall. 

I am actively recruiting students, postdoctoral fellows and Research Assistants with backgrounds in biology, genomics, or related life or medical sciences, bioinformatics, biostatistics, or computer science who are interested in pursuing further training in high-throughput computational biology. Trainees will have the opportunity to process human specimens, culture cell lines, as well as generate, manage and analyze genomics and other 'omics datasets as applied to biomedical research.