University of Cambridge > > MRC Biostatistics Unit Seminars > Identifying true positive associations in genome-wide association studies

Identifying true positive associations in genome-wide association studies

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If you have a question about this talk, please contact Nikolaos Demiris.

One of the main strategies in the search for genes that influence the risk of disease has been to compare the distribution of specific genetic variants in cases and population-based controls. It is now feasible to do this for hundreds of thousands of variants across the whole genome, instead of targeting biologically promising genes, in genome-wide association (GWA) studies. Falsely positive associations can arise due to genotyping problems, type 1 error (compounded by the large number of (correlated) statistical tests being carried out) and confounding (as a result of population stratification). Strategies for dealing with these issues will be presented and discussed with reference to a GWA study of cardiovascular disease.

This talk is part of the MRC Biostatistics Unit Seminars series.

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