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; Elizabeth Waxman; Alan Webb; Slawomir Wojcik; Somnath Mukhopadhyay; Donald Macgregor

doi:10.1186/1471-2288-10-107

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 MillerElizabeth 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 language	English
Article number	107
Number of pages	11
Journal	BMC Medical Research Methodology
Volume	10
DOIs	https://doi.org/10.1186/1471-2288-10-107
Publication status	Published - 6 Dec 2010

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10.1186/1471-2288-10-107

A methodology
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Turner, S. W., Ayres, J. G., MacFarlane, T., Mehta, A., Mehta, G., Palmer, C. N., 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., ... Macgregor, D. (2010). A methodology to establish a database to study gene environment interactions for childhood asthma. BMC Medical Research Methodology, 10, Article 107. https://doi.org/10.1186/1471-2288-10-107

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

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title = "A methodology to establish a database to study gene environment interactions for childhood asthma",

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.",

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

year = "2010",

month = dec,

day = "6",

doi = "10.1186/1471-2288-10-107",

language = "English",

volume = "10",

journal = "BMC Medical Research Methodology",

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TY - JOUR

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

SN - 1471-2288

VL - 10

JO - BMC Medical Research Methodology

JF - BMC Medical Research Methodology

M1 - 107

ER -

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

Abstract

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