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Patterns of genetic association have revealed much about the biology underlying human traits and complex diseases. But how can we use such information systematically to learn about the processes – at molecular, cellular and tissue levels – that modulate risk? I will discuss some challenges, approaches, and solutions to the problems of integrating and interpreting data on such a vast scale. And how such information can be applied to diverse problems ranging from therapeutic target identification to quantifying individual risk.
