Literature DB >> 19663678

Pharmacogenetics of anti-inflammatory treatment in children with asthma: rationale and design of the PACMAN cohort.

Ellen S Koster1, Jan Am Raaijmakers, Gerard H Koppelman, Dirkje S Postma, Cornelis K van der Ent, Leo Koenderman, Madelon Bracke, Anke Hilse Maitland-van der Zee.   

Abstract

AIMS: To investigate the effects of genetic variation on treatment response to asthma medication in children and to identify (profiles of) SNPs that characterize response phenotypes. MATERIAL &
METHODS: The Pharmacogenetics of Asthma medication in Children: Medication with Anti-inflammatory effects (PACMAN) study was initiated in April 2009 as an observational retrospective pharmacy-based study, including at least 1000 children with asthma medication (aged 4-12 years). Data on respiratory symptoms and medication use behavior will be collected using a questionnaire; complete medication histories will be extracted from the pharmacy information system; additional health information will be requested from the general practitioner; quality of inhalation technique and lung function measurements will be performed and saliva samples for DNA extraction and genotyping will be collected. Two groups of patients will be defined based on questionnaire data and lung function measurements: responders and nonresponders to anti-inflammatory asthma treatment. These two groups will be compared with respect to genetic variation. Corrections will be made for potential confounding factors.
RESULTS: The main study end point is treatment response, including asthma control, medication use and exhaled nitric oxide as a measure of airway inflammation. Whilst our focus is on genetic factors, this study allows us to also investigate other treatment response determinants, such as inhalation technique and therapy adherence.
CONCLUSION: Results from the PACMAN study could eventually lead to a more individualized therapy approach. PACMAN will focus on pharmacogenetics of asthma medication in children, while knowledge will be gained of relevant interest to the treatment of the asthma population at large.

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Year:  2009        PMID: 19663678     DOI: 10.2217/pgs.09.79

Source DB:  PubMed          Journal:  Pharmacogenomics        ISSN: 1462-2416            Impact factor:   2.533


  9 in total

1.  Rationale and design of the multiethnic Pharmacogenomics in Childhood Asthma consortium.

Authors:  Niloufar Farzan; Susanne J Vijverberg; Anand K Andiappan; Lambang Arianto; Vojko Berce; Natalia Blanca-López; Hans Bisgaard; Klaus Bønnelykke; Esteban G Burchard; Paloma Campo; Glorisa Canino; Bruce Carleton; Juan C Celedón; Fook Tim Chew; Wen Chin Chiang; Michelle M Cloutier; Denis Daley; Herman T Den Dekker; F Nicole Dijk; Liesbeth Duijts; Carlos Flores; Erick Forno; Daniel B Hawcutt; Natalia Hernandez-Pacheco; Johan C de Jongste; Michael Kabesch; Gerard H Koppelman; Vangelis G Manolopoulos; Erik Melén; Somnath Mukhopadhyay; Sara Nilsson; Colin N Palmer; Maria Pino-Yanes; Munir Pirmohamed; Uros Potočnik; Jan A Raaijmakers; Katja Repnik; Maximilian Schieck; Yang Yie Sio; Rosalind L Smyth; Csaba Szalai; Kelan G Tantisira; Steve Turner; Marc P van der Schee; Katia M Verhamme; Anke H Maitland-van der Zee
Journal:  Pharmacogenomics       Date:  2017-06-22       Impact factor: 2.533

Review 2.  The Utrecht Pharmacy Practice network for Education and Research: a network of community and hospital pharmacies in the Netherlands.

Authors:  Ellen S Koster; Lyda Blom; Daphne Philbert; Willem Rump; Marcel L Bouvy
Journal:  Int J Clin Pharm       Date:  2014-08

3.  ST13 polymorphisms and their effect on exacerbations in steroid-treated asthmatic children and young adults.

Authors:  S J H Vijverberg; E S Koster; R Tavendale; M Leusink; L Koenderman; J A M Raaijmakers; D S Postma; G H Koppelman; S W Turner; S Mukhopadhyay; S M Tse; K G Tantisira; D B Hawcutt; B Francis; M Pirmohamed; M Pino-Yanes; C Eng; E G Burchard; C N A Palmer; A H Maitland-van der Zee
Journal:  Clin Exp Allergy       Date:  2015-06       Impact factor: 5.018

4.  FCER2 T2206C variant associated with FENO levels in asthmatic children using inhaled corticosteroids: The PACMAN study.

Authors:  Leila Karimi; Susanne J H Vijverberg; Niloufar Farzan; Mohsen Ghanbari; Katia M C Verhamme; Anke H Maitland-van der Zee
Journal:  Clin Exp Allergy       Date:  2019-08-26       Impact factor: 5.018

5.  Pharmacogenomic Testing In Pediatrics: Navigating The Ethical, Social, And Legal Challenges.

Authors:  Susanne B Haga
Journal:  Pharmgenomics Pers Med       Date:  2019-10-14

6.  Chronic obstructive pulmonary disease: towards pharmacogenetics.

Authors:  Alice M Wood; See Ling Tan; Robert A Stockley
Journal:  Genome Med       Date:  2009-11-30       Impact factor: 11.117

7.  Inflammatory phenotypes underlying uncontrolled childhood asthma despite inhaled corticosteroid treatment: rationale and design of the PACMAN2 study.

Authors:  Susanne J H Vijverberg; Leo Koenderman; Francine C van Erp; Cornelis K van der Ent; Dirkje S Postma; Paul Brinkman; Peter J Sterk; Jan A M Raaijmakers; Anke-Hilse Maitland-van der Zee
Journal:  BMC Pediatr       Date:  2013-06-15       Impact factor: 2.125

8.  ADRB2 haplotypes and asthma exacerbations in children and young adults: An individual participant data meta-analysis.

Authors:  Leila Karimi; Susanne J Vijverberg; Marjolein Engelkes; Natalia Hernandez-Pacheco; Niloufar Farzan; Patricia Soares; Maria Pino-Yanes; Andrea L Jorgensen; Celeste Eng; Somnath Mukhopadhyay; Maximilian Schieck; Michael Kabesch; Esteban G Burchard; Fook Tim Chew; Yang Yie Sio; Uroš Potočnik; Mario Gorenjak; Daniel B Hawcutt; Colin N Palmer; Steve Turner; Hettie M Janssens; Anke H Maitland-van der Zee; Katia M C Verhamme
Journal:  Clin Exp Allergy       Date:  2021-07-20       Impact factor: 5.401

9.  Characteristics and severity of asthma in children with and without atopic conditions: a cross-sectional study.

Authors:  Ali Arabkhazaeli; Susanne J H Vijverberg; Francine C van Erp; Jan A M Raaijmakers; Cornelis K van der Ent; Anke H Maitland van der Zee
Journal:  BMC Pediatr       Date:  2015-11-06       Impact factor: 2.125

  9 in total

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