A methodology to establish a database to study gene environment interactions for childhood asthma
<p>Abstract</p> <p>Background</p> <p>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 i...
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doaj-5b9e541ccf464e35aed3661ffa16a0ce2020-11-25T01:18:23ZengBMCBMC Medical Research Methodology1471-22882010-12-0110110710.1186/1471-2288-10-107A methodology to establish a database to study gene environment interactions for childhood asthmaMcCormick JonathanMacFadyen UnaLeece RichardHunt GerardDuncan AndrewCunningham JasonCorrigan DonnaBell ClaireAniruddhan KrishnanAdams TimCunningham StevePalmer Colin NMehta GitaMehta AnilMacfarlane Tatiana VAyres Jon GTurner Stephen WMcLeish SallyMitra AndrewMiller DeborahWaxman ElizabethWebb AlanWojcik SlawomirMukhopadhyay SomnathMacgregor Donald<p>Abstract</p> <p>Background</p> <p>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 - <b>P</b>aediatric <b>A</b>sthma <b>G</b>ene <b>E</b>nvironment <b>S</b>tudy).</p> <p>Methods</p> <p>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.</p> <p>Results</p> <p>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<sub>1 </sub>97% (15) and median (IQR) BDR is 5% (2, 9). There were differences in age, socioeconomic status, severity and %FEV<sub>1 </sub>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.</p> <p>Conclusions</p> <p>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.</p> http://www.biomedcentral.com/1471-2288/10/107 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
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 |
spellingShingle |
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 A methodology to establish a database to study gene environment interactions for childhood asthma BMC Medical Research Methodology |
author_facet |
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 |
author_sort |
McCormick Jonathan |
title |
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_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_sort |
methodology to establish a database to study gene environment interactions for childhood asthma |
publisher |
BMC |
series |
BMC Medical Research Methodology |
issn |
1471-2288 |
publishDate |
2010-12-01 |
description |
<p>Abstract</p> <p>Background</p> <p>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 - <b>P</b>aediatric <b>A</b>sthma <b>G</b>ene <b>E</b>nvironment <b>S</b>tudy).</p> <p>Methods</p> <p>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.</p> <p>Results</p> <p>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<sub>1 </sub>97% (15) and median (IQR) BDR is 5% (2, 9). There were differences in age, socioeconomic status, severity and %FEV<sub>1 </sub>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.</p> <p>Conclusions</p> <p>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.</p> |
url |
http://www.biomedcentral.com/1471-2288/10/107 |
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