B2944 - Genetics for social scientists facilitating multidisciplinary research in CLOSER - 06/09/2017

B number: 
B2944
Principal applicant name: 
Meena Kumari | University of Essex (UK)
Co-applicants: 
Michaela Benzeval
Title of project: 
Genetics for social scientists: facilitating multidisciplinary research in CLOSER
Proposal summary: 

The CLOSER studies are composed of those established to examine clinical and biological phenomena or social studies supplemented with biomarker and genetic data. A recent overview of the genetic data indicates that data are available in CLOSER from over n=30,000 participants. However there is wide variation in practice across the CLOSER studies at a number of different levels which may represent barriers for those wishing to apply for these data. These include variation in genetic data sharing processes, differences in information and participant consent and genotyping platforms, which can be multiple within between and within studies. This can represent a challenge for inter-disciplinary research, in particular for social science researchers interested in accessing genetic data. Here we propose to catalogue meta-data (consent and response rates) around the genetic data available in each of the CLOSER studies; create a guidance document to enable researchers to access genetic data – this document should additionally serve to reduce the workload for the data sharing teams and finally to provide a demonstration project of the kind of analyses that can be done with the CLOSER studies on social-biological research, an important ESRC priority area. In particular we will include an in-depth focus on the development of genetic risk scores – here our proposed example is for body mass index and its interaction with social position. Finally we wish to examine the new and growing concern in genetics research to adjust for sample bias or selection by social position in the analysis.

Date proposal received: 
Thursday, 31 August, 2017
Date proposal approved: 
Wednesday, 6 September, 2017
Keywords: 
Social Science, Obesity, GWAS, Social science