Genome-wide association studies are increasingly widely used to discover genetic variations that increase the risk of common diseases like heart disease and type 2 diabetes. Intuitively they're quite straightforward: take a few thousand individuals with a disease (cases), a few thousand healthy individuals (controls), examine hundreds of thousands of genetic variations in both groups using new large-scale genotyping technologies, and see which variants are more common in cases than controls. This simple approach has turned out to be a powerful tool, uncovering genes involved in a multitude of common diseases.
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About Daniel
A researcher working in Sydney, Australia, on the genetic and evolutionary basis of variation in human muscle function. My personal blog is View Daniel's Profile
