Abstract
The IMAGEN study—a very large European Research Project—seeks to identify and characterize biological and environmental factors that influence teenagers mental health. To this aim, the consortium plans to collect data for more than 2000 subjects at 8 neuroimaging centres. These data comprise neuroimaging data, behavioral tests (for up to 5 hours of testing), and also white blood samples which are collected and processed to obtain 650 k single nucleotide polymorphisms (SNP) per subject. Data for more than 1000 subjects have already been collected. We describe the statistical aspects of these data and the challenges, such as the multiple comparison problem, created by such a large imaging genetics study (i.e., 650 k for the SNP, 50 k data per neuroimage).We also suggest possible strategies, and present some first investigations using uni or multi-variate methods in association with re-sampling techniques. Specifically, because the number of variables is very high, we first reduce the data size and then use multivariate (CCA, PLS) techniques in association with re-sampling techniques.
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Acknowledgements
We are very grateful to H. Abdi for his help in editing the manuscript. Support was provided by the IMAGEN project, which receives research funding from the European Community’s Sixth Framework Programme (LSHM-CT-2007-037286). This manuscript reflects only the author’s views and the Community is not liable for any use that may be made of the information contained therein.
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Poline, JB., Lalanne, C., Tenenhaus, A., Duchesnay, E., Thirion, B., Frouin, V. (2010). Imaging Genetics: Bio-Informatics and Bio-Statistics Challenges. In: Lechevallier, Y., Saporta, G. (eds) Proceedings of COMPSTAT'2010. Physica-Verlag HD. https://doi.org/10.1007/978-3-7908-2604-3_9
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DOI: https://doi.org/10.1007/978-3-7908-2604-3_9
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