Genome-wide association studies for bivariate sparse longitudinal data.
Das K, Li J, Fu G et al.
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Objective: Longitudinal measurements with bivariate response have been analyzed by several authors using two separate models for each response. However, for most of the biological or medical experiments, the two responses are highly correlated and hence a separate model for each response might not be a desirable way to analyze such data. A single model considering a bivariate response provides a more powerful inference as the correlation between the responses is modeled appropriately. In this article, we propose a dynamic statistical model to detect the genes controlling human blood pressure (systolic and diastolic).
500 European ancestry male individuals, 477 European ancestry female individuals
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