Affiliation: Imperial College
- Reagent and laboratory contamination can critically impact sequence-based microbiome analysesSusannah J Salter
Pathogen Genomics Group, Wellcome Trust Sanger Institute, Hinxton, UK
BMC Biol 12:87. 2014..One potential confounder of these sequence-based approaches is the presence of contamination in DNA extraction kits and other laboratory reagents...
- Disordered microbial communities in asthmatic airwaysMarkus Hilty
National Heart and Lung Institute, Imperial College London, London, England
PLoS ONE 5:e8578. 2010..We compared the airway microbiota at three levels in adult patients with asthma, the related condition of COPD, and controls. We also studied bronchial lavage from asthmatic children and controls...
- Upper airways microbiota in antibiotic-naïve wheezing and healthy infants from the tropics of rural EcuadorPaul Andres Cardenas
National Heart and Lung Institute, Imperial College London, United Kingdom
PLoS ONE 7:e46803. 2012..We have therefore examined the oropharyngeal microbiome in early onset wheezing infants from a rural area of tropical Ecuador where antibiotic usage is minimal and glucocorticoid usage is absent...
- Mapping complex disease traits with global gene expressionWilliam Cookson
National Heart and Lung Institute, Imperial College London, London SW3 6LY, UK
Nat Rev Genet 10:184-94. 2009..Although there are limitations to current eQTL maps, understanding of disease will be enhanced with novel technologies and international efforts that extend to a wide range of new samples and tissues...
- Genetics of complex airway diseaseWilliam O C Cookson
National Heart and Lung Institute, London SW3 6LY, UK
Proc Am Thorac Soc 8:149-53. 2011..The use of genetic technology to examine the airway microbiota that interact with the mucosa in health and disease is described...
- Genetic risks and childhood-onset asthmaWilliam Cookson
Division of Respiratory Science, Imperial College London, London, United Kingdom
J Allergy Clin Immunol 128:266-70; quiz 271-2. 2011..This review considers different aspects of genetic risk, including individual, population, and familial risks, and explores how these different measures interact and how the next generation of genetic studies might be best designed...