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

Stephen W. Turner, Jon G. Ayres, Tatiana V. 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

    Research output: Contribution to journalArticle

    12 Citations (Scopus)

    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
    Pages (from-to)-
    Number of pages11
    JournalBMC Medical Research Methodology
    Volume10
    DOIs
    Publication statusPublished - 6 Dec 2010

    Keywords

    • LUNG-FUNCTION
    • INHALED CORTICOSTEROIDS
    • AIRWAY RESPONSIVENESS
    • CHILDREN
    • SEVERITY
    • POLYMORPHISM
    • SMOKING
    • SAMPLE
    • PHARMACOGENETICS
    • ASSOCIATION

    Cite this

    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. In: BMC Medical Research Methodology. 2010 ; Vol. 10. pp. -.
    @article{d8d3a28e2d67499197e608ffcdbd6d90,
    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.",
    keywords = "LUNG-FUNCTION, INHALED CORTICOSTEROIDS, AIRWAY RESPONSIVENESS, CHILDREN, SEVERITY, POLYMORPHISM, SMOKING, SAMPLE, PHARMACOGENETICS, ASSOCIATION",
    author = "Turner, {Stephen W.} and Ayres, {Jon G.} and Macfarlane, {Tatiana V.} 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",
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    language = "English",
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    Turner, SW, Ayres, JG, Macfarlane, TV, 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, pp. -. https://doi.org/10.1186/1471-2288-10-107

    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.

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

    Research output: Contribution to journalArticle

    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 V.

    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.

    KW - LUNG-FUNCTION

    KW - INHALED CORTICOSTEROIDS

    KW - AIRWAY RESPONSIVENESS

    KW - CHILDREN

    KW - SEVERITY

    KW - POLYMORPHISM

    KW - SMOKING

    KW - SAMPLE

    KW - PHARMACOGENETICS

    KW - ASSOCIATION

    U2 - 10.1186/1471-2288-10-107

    DO - 10.1186/1471-2288-10-107

    M3 - Article

    VL - 10

    SP - -

    JO - BMC Medical Research Methodology

    JF - BMC Medical Research Methodology

    SN - 1471-2288

    M1 - 107

    ER -