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

Stephen W Turner, Jon G Ayres, Tatiana MacFarlane, Anil Mehta, Gita Mehta, Colin N Palmer, Steve Cunningham, Tim Adams, Krishnan Aniruddhan, Claire Bell, Donna Corrigan, Jason Cunningham, Andrew Duncan, Gerard Hunt, Richard Leece, Una MacFadyen, Jonathan McCormick, Sally McLeish, Andrew Mitra , Deborah Miller & 5 others Elizabeth Waxman, Alan Webb, Slawomir Wojcik, Somnath Mukhopadhyay, Donald Macgregor

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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.
Original languageEnglish
Article number107
Number of pages11
JournalBMC Medical Research Methodology
Volume10
DOIs
Publication statusPublished - 6 Dec 2010

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Gene-Environment Interaction
Asthma
Databases
Bronchodilator Agents
Spirometry
Pediatrics
Cotinine
DNA
Ambulatory Care
Saliva
Social Class
Nitric Oxide
Parents
Quality of Life
Skin
Population
Genes

Cite this

A methodology to establish a database to study gene environment interactions for childhood asthma. / Turner, Stephen W; Ayres, Jon G; MacFarlane, Tatiana; Mehta, Anil; Mehta, Gita; Palmer, Colin N; Cunningham, Steve; Adams, Tim; Aniruddhan, Krishnan; Bell, Claire; Corrigan, Donna; Cunningham, Jason; Duncan, Andrew; Hunt, Gerard; Leece, Richard; MacFadyen, Una; McCormick, Jonathan; McLeish, Sally; Mitra , Andrew; Miller, Deborah; Waxman, Elizabeth; Webb, Alan; Wojcik, Slawomir; Mukhopadhyay, Somnath; Macgregor, Donald.

In: BMC Medical Research Methodology, Vol. 10, 107, 06.12.2010.

Research output: Contribution to journalArticle

Turner, SW, Ayres, JG, MacFarlane, T, Mehta, A, Mehta, G, Palmer, CN, Cunningham, S, Adams, T, Aniruddhan, K, Bell, C, Corrigan, D, Cunningham, J, Duncan, A, Hunt, G, Leece, R, MacFadyen, U, McCormick, J, McLeish, S, Mitra , A, Miller, D, Waxman, E, Webb, A, Wojcik, S, Mukhopadhyay, S & Macgregor, D 2010, 'A methodology to establish a database to study gene environment interactions for childhood asthma', BMC Medical Research Methodology, vol. 10, 107. https://doi.org/10.1186/1471-2288-10-107
Turner, Stephen W ; Ayres, Jon G ; MacFarlane, Tatiana ; Mehta, Anil ; Mehta, Gita ; Palmer, Colin N ; Cunningham, Steve ; Adams, Tim ; Aniruddhan, Krishnan ; Bell, Claire ; Corrigan, Donna ; Cunningham, Jason ; Duncan, Andrew ; Hunt, Gerard ; Leece, Richard ; MacFadyen, Una ; McCormick, Jonathan ; McLeish, Sally ; Mitra , Andrew ; Miller, Deborah ; Waxman, Elizabeth ; Webb, Alan ; Wojcik, Slawomir ; Mukhopadhyay, Somnath ; Macgregor, Donald. / A methodology to establish a database to study gene environment interactions for childhood asthma. In: BMC Medical Research Methodology. 2010 ; Vol. 10.
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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.",
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T1 - A methodology to establish a database to study gene environment interactions for childhood asthma

AU - Turner, Stephen W

AU - Ayres, Jon G

AU - MacFarlane, Tatiana

AU - Mehta, Anil

AU - Mehta, Gita

AU - Palmer, Colin N

AU - Cunningham, Steve

AU - Adams, Tim

AU - Aniruddhan, Krishnan

AU - Bell, Claire

AU - Corrigan, Donna

AU - Cunningham, Jason

AU - Duncan, Andrew

AU - Hunt, Gerard

AU - Leece, Richard

AU - MacFadyen, Una

AU - McCormick, Jonathan

AU - McLeish, Sally

AU - Mitra , Andrew

AU - Miller, Deborah

AU - Waxman, Elizabeth

AU - Webb, Alan

AU - Wojcik, Slawomir

AU - Mukhopadhyay, Somnath

AU - Macgregor, Donald

PY - 2010/12/6

Y1 - 2010/12/6

N2 - 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.

AB - 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.

U2 - 10.1186/1471-2288-10-107

DO - 10.1186/1471-2288-10-107

M3 - Article

VL - 10

JO - BMC Medical Research Methodology

JF - BMC Medical Research Methodology

SN - 1471-2288

M1 - 107

ER -