BMC Medical Research Methodology (Dec 2010)

A methodology to establish a database to study gene environment interactions for childhood asthma

  • McCormick Jonathan,
  • MacFadyen Una,
  • Leece Richard,
  • Hunt Gerard,
  • Duncan Andrew,
  • Cunningham Jason,
  • Corrigan Donna,
  • Bell Claire,
  • Aniruddhan Krishnan,
  • Adams Tim,
  • Cunningham Steve,
  • Palmer Colin N,
  • Mehta Gita,
  • Mehta Anil,
  • Macfarlane Tatiana V,
  • Ayres Jon G,
  • Turner Stephen W,
  • McLeish Sally,
  • Mitra Andrew,
  • Miller Deborah,
  • Waxman Elizabeth,
  • Webb Alan,
  • Wojcik Slawomir,
  • Mukhopadhyay Somnath,
  • Macgregor Donald

DOI
https://doi.org/10.1186/1471-2288-10-107
Journal volume & issue
Vol. 10, no. 1
p. 107

Abstract

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Abstract Background Gene-environment interactions are likely to explain some of the heterogeneity in childhood asthma. Here, we describe the methodology and experiences in establishing a database for childhood asthma designed to study gene-environment interactions (PAGES - Paediatric Asthma Gene Environment Study). Methods Children with asthma and under the care of a respiratory paediatrician are being recruited from 15 hospitals between 2008 and 2011. An asthma questionnaire is completed and returned by post. At a routine clinic visit saliva is collected for DNA extraction. Detailed phenotyping in a proportion of children includes spirometry, bronchodilator response (BDR), skin prick reactivity, exhaled nitric oxide and salivary cotinine. Dietary and quality of life questionnaires are completed. Data are entered onto a purpose-built database. Results To date 1045 children have been invited to participate and data collected in 501 (48%). The mean age (SD) of participants is 8.6 (3.9) years, 57% male. DNA has been collected in 436 children. Spirometry has been obtained in 172 children, mean % predicted (SD) FEV1 97% (15) and median (IQR) BDR is 5% (2, 9). There were differences in age, socioeconomic status, severity and %FEV1 between the different centres (p≤0.024). Reasons for non-participation included parents not having time to take part, children not attending clinics and, in a small proportion, refusal to take part. Conclusions It is feasible to establish a national database to study gene-environment interactions within an asthmatic paediatric population; there are barriers to participation and some different characteristics in individuals recruited from different centres. Recruitment to our study continues and is anticipated to extend current understanding of asthma heterogeneity.