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Collecting saliva samples for DNA extraction from children and parents: findings from a pilot study using lay interviewers in the UK

[journal article]

Calderwood, Lisa; Rose, Nickie; Ring, Susan; McArdle, Wendy

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Please use the following Persistent Identifier (PID) to cite this document:http://nbn-resolving.de/urn:nbn:de:0168-ssoar-377934

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Abstract In recent years there has been a substantial increase in the collection of biological data on social surveys. Biological data has hitherto been primarily collected by medically trained personnel in a clinic or laboratory setting or using specialist nurse interviewers in a home-visit setting. However, improvements in technology and the development of minimally or non- invasive data collection methods have made it increasingly feasible to collect bio-measures in a home setting using non-medically trained lay interviewers. In the field of genetic research, it has become increasingly common to collect DNA from saliva samples. This paper provides an account of a pilot study investigating the feasibility of collecting saliva samples for DNA extraction from mothers, fathers and children aged around 11 years old using lay interviewers on the UK Millennium Cohort Study. The pilot study was carried out in 2011 in five areas of the UK with one interviewer in each area. 45 families took part in the pilot and saliva samples were obtained from 73 per cent of mothers, 76 per cent of fathers and 74 per cent of children. We demonstrate that it is indeed viable to collect saliva samples for DNA extraction from children and parents using lay interviewers in a home setting, and provide practical suggestions about how the data collection process could be improved in order to achieve higher response rates and improved specimen quality. Our findings are relevant to other surveys planning to incorporate saliva sample collection for DNA extraction, particularly for those involving lay interviewers in a home setting.
Keywords Great Britain; genetic test; parents; child; interview; training; data capture; genetics; data acquisition; longitudinal study
Classification Medical Sociology; Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods
Document language English
Publication Year 2014
Page/Pages 13 p.
Journal Survey Methods: Insights from the Field (2014)
DOI http://dx.doi.org/10.13094/SMIF-2014-00002
ISSN 2296-4754
Status Published Version; peer reviewed
Licence Creative Commons - Attribution-Noncommercial-No Derivative Works