A whole genome sequencing association study of severe, uncontrolled asthma
D. Chang (South San Francisco, United States of America), D. Choy (South San Francisco, United States of America), T. Bhangale (South San Francisco, United States of America), A. Wuster (South San Francisco, United States of America), Z. Khan (South San Francisco, United States of America), A. Dressen (South San Francisco, United States of America), K. Cuenco (South San Francisco, United States of America), L. Riol Blanco (South San Francisco, United States of America), J. Arron (South San Francisco, United States of America), M. Wilson (South San Francisco, United States of America), R. Pappu (South San Francisco, United States of America), T. Yi (South San Francisco, United States of America), D. Lafkas (South San Francisco, United States of America), T. Staton (South San Francisco, United States of America), F. Cai (South San Francisco, United States of America), R. Bauer (South San Francisco, United States of America), C. Holweg (South San Francisco, United States of America), D. Cheung (South San Francisco, United States of America), H. Chen (South San Francisco, United States of America), J. Lin (South San Francisco, United States of America), A. Abbas (South San Francisco, United States of America), J. Matthews (South San Francisco, United States of America), J. Olsson (South San Francisco, United States of America), J. Reeder (South San Francisco, United States of America), K. Mukhyala (South San Francisco, United States of America), J. Tom (South San Francisco, United States of America), A. Cowgill (South San Francisco, United States of America), J. Vogel (South San Francisco, United States of America), B. Forrest (South San Francisco, United States of America), M. Brauer (South San Francisco, United States of America), J. Hunkapiller (South San Francisco, United States of America), R. Graham (South San Francisco, United States of America), T. Behrens (South San Francisco, United States of America), B. Yaspan (South San Francisco, United States of America)
Source: International Congress 2018 – Multiomics studies in epidemiology: what can they tell us?
Disease area: Airway diseases
Rating:
You must login to grade this presentation.
Share or cite this content
Citations should be made in the following way:
D. Chang (South San Francisco, United States of America), D. Choy (South San Francisco, United States of America), T. Bhangale (South San Francisco, United States of America), A. Wuster (South San Francisco, United States of America), Z. Khan (South San Francisco, United States of America), A. Dressen (South San Francisco, United States of America), K. Cuenco (South San Francisco, United States of America), L. Riol Blanco (South San Francisco, United States of America), J. Arron (South San Francisco, United States of America), M. Wilson (South San Francisco, United States of America), R. Pappu (South San Francisco, United States of America), T. Yi (South San Francisco, United States of America), D. Lafkas (South San Francisco, United States of America), T. Staton (South San Francisco, United States of America), F. Cai (South San Francisco, United States of America), R. Bauer (South San Francisco, United States of America), C. Holweg (South San Francisco, United States of America), D. Cheung (South San Francisco, United States of America), H. Chen (South San Francisco, United States of America), J. Lin (South San Francisco, United States of America), A. Abbas (South San Francisco, United States of America), J. Matthews (South San Francisco, United States of America), J. Olsson (South San Francisco, United States of America), J. Reeder (South San Francisco, United States of America), K. Mukhyala (South San Francisco, United States of America), J. Tom (South San Francisco, United States of America), A. Cowgill (South San Francisco, United States of America), J. Vogel (South San Francisco, United States of America), B. Forrest (South San Francisco, United States of America), M. Brauer (South San Francisco, United States of America), J. Hunkapiller (South San Francisco, United States of America), R. Graham (South San Francisco, United States of America), T. Behrens (South San Francisco, United States of America), B. Yaspan (South San Francisco, United States of America). A whole genome sequencing association study of severe, uncontrolled asthma. 2194
You must login to share this Presentation/Article on Twitter, Facebook, LinkedIn or by email.
Member's Comments
Related content which might interest you:
Related content which might interest you:
Candidate gene association study of chronic obstructive pulmonary disorder using a targeted high throughput sequencing approach Source: Annual Congress 2012 - Methodology in epidemiologic research Year: 2012
Targeted sequencing of 130 asthma candidate genes and association testing of rare variants with age of onset in Norwegian asthma patients. Source: Virtual Congress 2021 – Epidemiology and burden of tuberculosis and other lung diseases Year: 2021
Two novel, severe asthma phenotypes identified during childhood using a clustering approach Source: Eur Respir J 2012; 40: 55-60 Year: 2012
Scores of asthma and asthma severity reveal new regions of linkage in EGEA study families Source: Eur Respir J 2007; 30: 253-259 Year: 2007
A genome-wide association study on the risk variations for susceptibility to early COPD Source: International Congress 2019 – New molecular signatures in COPD, lung cancer and a1-antitrypsin deficiency Year: 2019
A multicentre cohort study on the association between common markers of asthma and the incidence of COPD Source: Eur Respir J 2006; 28: Suppl. 50, 295s Year: 2006
Case-control association analysis of candidate genes in asthma, rhinitis and COPD: A preliminary report Source: Annual Congress 2012 - Gene-environment treatment and asthma Year: 2012
Two phenothypes of severe asthma identified by cluster analysis Source: International Congress 2018 – Clinical markers of asthma Year: 2018
Genome-wide association study identifies new COPD risk locus, PDE4D, in Korean population Source: Annual Congress 2013 –Genetics and genomics of lung disease Year: 2013
Cross-sectional, observational study to estimate the prevalence of the eosinophilic phenotype for Brazilian patients with severe asthma: the BRAEOS study Source: Virtual Congress 2020 – Clinical characteristics and diagnostic tools for phenotyping asthma and COPD Year: 2020
Latent class analyses used to study phenotypes in severe COPD with exacerbation. A pilot study Source: Annual Congress 2010 - Epidemiological data for smoking control Year: 2010
A genome-wide association study reveals evidence of association with sarcoidosis at 6p12.1 Source: Eur Respir J 2011; 38: 1127-1135 Year: 2011
Differences in microsatellite DNA level between asthma and chronic obstructive pulmonary disease Source: Eur Respir J 2006; 28: 472-478 Year: 2006
Genome-wide association study of asthma symptoms despite inhaled corticosteroids use in Dutch children. Source: International Congress 2017 – Paediatric asthma: treatment modalities and behavioural issues Year: 2017
Prevalence of severe asthma – results from a population-based study. Source: International Congress 2019 – Asthma and the world Year: 2019
A genome-wide association study of severe asthma exacerbations in Latino children and adolescents Source: Eur Respir J, 57 (4) 2002693; 10.1183/13993003.02693-2020 Year: 2021
The ENFUMOSA cross-sectional European multicentre study of the clinical phenotype of chronic severe asthma Source: Eur Respir J 2003; 22: 470-477 Year: 2003
The role of CD14, TLR2, and TLR4 genetic polymorphisms in atopy and new onset asthma in young Danish farmers: a nested case-control study Source: Annual Congress 2007 - Occupation and obstruction Year: 2007
Candidate genes for COPD in two large data sets Source: Eur Respir J 2011; 37: 255 Year: 2011
What predicts poor collection of medication among children with asthma? A case-control study Source: Eur Respir J 2002; 20: 1464-1469 Year: 2002