Qingling Duan, Ph.D.

Qingling Duan
  • Assistant Professor and Queen's National Scholar in Bioinformatics
  • 18 Stuart Street
  • Kingston
  • K7L 3N6
  • Telephone: 613-533-6356
  • E-Mail: qingling.duan@queensu.ca

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

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.

Last Modified: 2017-01-09