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

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...

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Autores principales: Turner, Stephen W, Ayres, Jon G, Macfarlane, Tatiana V, 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
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3019209/
https://www.ncbi.nlm.nih.gov/pubmed/21134251
http://dx.doi.org/10.1186/1471-2288-10-107
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author Turner, Stephen W
Ayres, Jon G
Macfarlane, Tatiana V
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
author_facet Turner, Stephen W
Ayres, Jon G
Macfarlane, Tatiana V
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
author_sort Turner, Stephen W
collection PubMed
description 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) FEV(1 )97% (15) and median (IQR) BDR is 5% (2, 9). There were differences in age, socioeconomic status, severity and %FEV(1 )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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spelling pubmed-30192092011-01-12 A methodology to establish a database to study gene environment interactions for childhood asthma Turner, Stephen W Ayres, Jon G Macfarlane, Tatiana V 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 BMC Med Res Methodol Research Article 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) FEV(1 )97% (15) and median (IQR) BDR is 5% (2, 9). There were differences in age, socioeconomic status, severity and %FEV(1 )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. BioMed Central 2010-12-06 /pmc/articles/PMC3019209/ /pubmed/21134251 http://dx.doi.org/10.1186/1471-2288-10-107 Text en Copyright ©2010 Turner et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (<url>http://creativecommons.org/licenses/by/2.0</url>), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Turner, Stephen W
Ayres, Jon G
Macfarlane, Tatiana V
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
title A methodology to establish a database to study gene environment interactions for childhood asthma
title_full A methodology to establish a database to study gene environment interactions for childhood asthma
title_fullStr A methodology to establish a database to study gene environment interactions for childhood asthma
title_full_unstemmed A methodology to establish a database to study gene environment interactions for childhood asthma
title_short A methodology to establish a database to study gene environment interactions for childhood asthma
title_sort methodology to establish a database to study gene environment interactions for childhood asthma
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3019209/
https://www.ncbi.nlm.nih.gov/pubmed/21134251
http://dx.doi.org/10.1186/1471-2288-10-107
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