Big data make hidden genetic drivers of type 2 diabetes visible

Numerous genetic studies have identified many risk variants for type 2 diabetes (T2D)—but which genes and proteins are actually involved in the disease mechanisms? An international team led by Helmholtz Munich has now used globally collected genetic data to pinpoint the genes and proteins linked to T2D. The researchers systematically compared their results across multiple tissues and four global ancestry groups. In a study published this week in Nature Metabolism, they demonstrate that analyses limited to blood samples alone would have missed many potentially causal disease signals.

This article was originally published on MedicalXpress.com

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