Literature DB >> 19416140

A novel study design to investigate the early-life origins of asthma in children (SAGE study).

A L Kozyrskyj1, K T HayGlass, A J Sandford, P D Paré, M Chan-Yeung, A B Becker.   

Abstract

This is a description of the Study of Asthma, Genes and the Environment (SAGE), a novel birth cohort created from provincial healthcare administrative records. It is a general population-based cohort, composed of children at high and low risk for asthma, living in urban and rural environments in Manitoba, Canada. The SAGE study captures the complete longitudinal healthcare records of children born in 1995 and contains detailed information on early-life exposures, such as antibiotic utilization and immunization, in relationship to the development of asthma. Nested within the birth cohort is a case-control study, which was created to collect information on home environmental exposures from detailed surveys and home dust sampling, to confirm asthma status in children and use this data to validate healthcare database measures of asthma, to determine differences in immune system responsiveness to innate and adaptive immune stimuli in asthma, to genotype children for genes likely associated with the development of asthma and to study the epigenetic regulation of pre-established protective vs allergic immune responses. The SAGE study is a multidisciplinary collaboration of researchers from pediatric allergy, population health, immunology, and genetic and environmental epidemiology. As such, it serves as a fertile, interdisciplinary training ground for graduate students, and postdoctoral and clinician fellows.

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Year:  2009        PMID: 19416140     DOI: 10.1111/j.1398-9995.2009.02033.x

Source DB:  PubMed          Journal:  Allergy        ISSN: 0105-4538            Impact factor:   13.146


  18 in total

1.  A meta-analysis of genome-wide association studies for serum total IgE in diverse study populations.

Authors:  Albert M Levin; Rasika A Mathias; Lili Huang; Lindsey A Roth; Denise Daley; Rachel A Myers; Blanca E Himes; Isabelle Romieu; Mao Yang; Celeste Eng; Julie E Park; Karla Zoratti; Christopher R Gignoux; Dara G Torgerson; Joshua M Galanter; Scott Huntsman; Elizabeth A Nguyen; Allan B Becker; Moira Chan-Yeung; Anita L Kozyrskyj; Pui-Yan Kwok; Frank D Gilliland; W James Gauderman; Eugene R Bleecker; Benjamin A Raby; Deborah A Meyers; Stephanie J London; Fernando D Martinez; Scott T Weiss; Esteban G Burchard; Dan L Nicolae; Carole Ober; Kathleen C Barnes; L Keoki Williams
Journal:  J Allergy Clin Immunol       Date:  2012-11-10       Impact factor: 10.793

2.  Using administrative data to study child health.

Authors:  Marni Brownell; Anita Kozyrskyj; Don Fuchs; Rob Santos
Journal:  Healthc Policy       Date:  2011-01

3.  Traffic, asthma and genetics: combining international birth cohort data to examine genetics as a mediator of traffic-related air pollution's impact on childhood asthma.

Authors:  Elaina A MacIntyre; Christopher Carlsten; Meaghan MacNutt; Elaine Fuertes; Eric Melén; Carla M T Tiesler; Ulrike Gehring; Ursula Krämer; Claudia Klümper; Marjan Kerkhof; Moira Chan-Yeung; Anita L Kozyrskyj; Dietrich Berdel; Carl Peter Bauer; Olf Herbarth; Mario Bauer; Beate Schaaf; Sibylle Koletzko; Goran Pershagen; Bert Brunekreef; Joachim Heinrich; Michael Brauer
Journal:  Eur J Epidemiol       Date:  2013-07-24       Impact factor: 8.082

4.  Comparison of anthropometric measurements in children to predict metabolic syndrome in adolescence: analysis of prospective cohort data.

Authors:  B A Wicklow; A Becker; D Chateau; K Palmer; A Kozyrskij; E A C Sellers
Journal:  Int J Obes (Lond)       Date:  2015-04-14       Impact factor: 5.095

5.  Genome-Wide Interaction Analysis of Air Pollution Exposure and Childhood Asthma with Functional Follow-up.

Authors:  Anna Gref; Simon K Merid; Olena Gruzieva; Stéphane Ballereau; Allan Becker; Tom Bellander; Anna Bergström; Yohan Bossé; Matteo Bottai; Moira Chan-Yeung; Elaine Fuertes; Despo Ierodiakonou; Ruiwei Jiang; Stéphane Joly; Meaghan Jones; Michael S Kobor; Michal Korek; Anita L Kozyrskyj; Ashish Kumar; Nathanaël Lemonnier; Elaina MacIntyre; Camille Ménard; David Nickle; Ma'en Obeidat; Johann Pellet; Marie Standl; Annika Sääf; Cilla Söderhäll; Carla M T Tiesler; Maarten van den Berge; Judith M Vonk; Hita Vora; Cheng-Jian Xu; Josep M Antó; Charles Auffray; Michael Brauer; Jean Bousquet; Bert Brunekreef; W James Gauderman; Joachim Heinrich; Juha Kere; Gerard H Koppelman; Dirkje Postma; Christopher Carlsten; Göran Pershagen; Erik Melén
Journal:  Am J Respir Crit Care Med       Date:  2017-05-15       Impact factor: 21.405

6.  Lack of association of TIM3 polymorphisms and allergic phenotypes.

Authors:  Jian Zhang; Denise Daley; Loubna Akhabir; Dorota Stefanowicz; Moira Chan-Yeung; Allan B Becker; Catherine Laprise; Peter D Paré; Andrew J Sandford
Journal:  BMC Med Genet       Date:  2009-06-30       Impact factor: 2.103

7.  TLR4 Asp299Gly and Thr399Ile polymorphisms: no impact on human immune responsiveness to LPS or respiratory syncytial virus.

Authors:  Renée N Douville; Yuriy Lissitsyn; Aaron F Hirschfeld; Allan B Becker; Anita L Kozyrskyj; Joel Liem; Nathalie Bastien; Yan Li; Rachel E Victor; Mehtab Sekhon; Stuart E Turvey; Kent T HayGlass
Journal:  PLoS One       Date:  2010-08-10       Impact factor: 3.240

8.  Infant antibiotic exposure and the development of childhood overweight and central adiposity.

Authors:  M B Azad; S L Bridgman; A B Becker; A L Kozyrskyj
Journal:  Int J Obes (Lond)       Date:  2014-07-11       Impact factor: 5.095

9.  Influence of socioeconomic status trajectories on innate immune responsiveness in children.

Authors:  Meghan B Azad; Yuri Lissitsyn; Gregory E Miller; Allan B Becker; Kent T HayGlass; Anita L Kozyrskyj
Journal:  PLoS One       Date:  2012-06-07       Impact factor: 3.240

10.  An inventory of Canadian pregnancy and birth cohort studies: research in progress.

Authors:  Marie-Pier Joly; Michel Boivin; Anne Junker; Alan Bocking; Michael S Kramer; Stephanie A Atkinson
Journal:  BMC Pregnancy Childbirth       Date:  2012-10-29       Impact factor: 3.007

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