We linked genetic risk for type 2 diabetes with metabolites from @NgaleHealth measured 4x in @CO90s, from childhood to young-adulthood.

Great joint effort with @caroline_bull & @EmmaEVincent @nic_timpson @mendel_random @anubha_M_Oxf & @mrc_ieu @EBIBristol
Key assumptions here:

1. Type 2 diabetes is a metabolic disease & blood metabolism is a good place to look.

2. Genetic risk for adult disease can be used to isolate trait patterns specific to early stages of the disease process.
Traits altered include lower lipids in certain HDLs, higher BCAAs, & higher inflammatory GlycA.

Higher BMI is also apparent from the start, which we know strongly influences such traits.
‘Liability’ is crucial here. These are subtle differences in the metabolism of young healthy people & are unlikely to be harmful.

The point is to view disease activity long before the disease gets diagnosed & becomes a problem. I.e. prevention aims.
Look familiar @EmilyKraincArt?

The main figure was painted for Creative Reactions Bristol last year.

Slightly different process!
Whether intervening on such traits would prevent diabetes onset isn’t yet clear.

But BMI is a known causal driver & the same approach applied to CHD flags up VLDLs & LDLs: https://wellcomeopenresearch.org/articles/3-114/v2/iparadigms.

This could be a rapid way of short-listing targets for closer follow-up.
You can follow @joshuaa_bell.
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