Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/32674
Title: A Platform for the Remote Conduct of Gene-Environment Interaction Studies
Authors: Burton, P. R.
Gallacher, J.
Collins, R.
Elliot, P.
Palmer, S.
Mitchell, C.
Gareth, J.
Lyons, R.
First Published: 18-Jan-2013
Publisher: Public Library of Science
Citation: PLoS One, 2013, 8 (1), e54331
Abstract: Background: Gene-environment interaction studies offer the prospect of robust causal inference through both gene identification and instrumental variable approaches. As such they are a major and much needed development. However, conducting these studies using traditional methods, which require direct participant contact, is resource intensive. The ability to conduct gene-environment interaction studies remotely would reduce costs and increase capacity. Aim: To develop a platform for the remote conduct of gene-environment interaction studies. Methods: A random sample of 15,000 men and women aged 50+ years and living in Cardiff, South Wales, of whom 6,012 were estimated to have internet connectivity, were mailed inviting them to visit a web-site to join a study of successful ageing. Online consent was obtained for questionnaire completion, cognitive testing, re-contact, record linkage and genotyping. Cognitive testing was conducted using the Cardiff Cognitive Battery. Bio-sampling was randomised to blood spot, buccal cell or no request. Results: A heterogeneous sample of 663 (4.5% of mailed sample and 11% of internet connected sample) men and women (47% female) aged 50–87 years (median = 61 yrs) from diverse backgrounds (representing the full range of deprivation scores) was recruited. Bio-samples were donated by 70% of those agreeing to do so. Self report questionnaires and cognitive tests showed comparable distributions to those collected using face-to-face methods. Record linkage was achieved for 99.9% of participants. Conclusion: This study has demonstrated that remote methods are suitable for the conduct of gene-environment interaction studies. Up-scaling these methods provides the opportunity to increase capacity for large-scale gene-environment interaction studies.
DOI Link: 10.1371/journal.pone.0054331
ISSN: 1932-6203
Links: http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0054331
http://hdl.handle.net/2381/32674
Version: Publisher Version
Status: Peer-reviewed
Type: Journal Article
Rights: Copyright © 2013 Gallacher et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Appears in Collections:Published Articles, Dept. of Health Sciences

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