New computational method predicts genes likely to be causal in disease

A new computational method improves the detection of genes that are likely to be causal for complex diseases and biological traits. The method, PrediXcan, estimates gene expression levels across the whole genome – a better measure of biological action than single mutations – and integrates it with genome-wide association study data. PrediXcan has the potential to identify gene targets for therapeutic applications faster and with greater accuracy than traditional methods.

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