RT @annagloyn: Out today from @StanfordPeds Endocrine Fellow #HectorOrtega & @SethASharp a state of the art review on polygenic risk scor….

RT @Kash_A_Patel: Pleased to share our new preprint . - Genetically confirmed MODY have high T2D risk. ~ 24% of phe….

RT @john_den_: 5-drug precision prescribing for people with type 2 diabetes is here - @TheLancet our @ExeterMedmodel for optimising glucose….

Thrilled to see GRS2 adopted in real world T1D screening and research studies. But clear we needed a standardized non-expert way to replicate our PRS. Great to work with @AmberMLuckett @Exeter_Diabetes @broadinstitute and @StanfordPeds colleagues to make a tool available!.

RT @nkrentz: 🚨PREPRINT ALERT 🚨. Check out our latest manuscript on the role of the type 2 diabetes-associated gene RREB1. @MouseteamGrace….

RT @JimJohnsonSci: Proteomic predictors of individualized nutrient-specific insulin secre. is the latest work fro….

RT @nkrentz: Electrophysiological characterisation of iPSC-derived human β-like cells and an SLC30A8 disease model. | Diabetes | American D….

RT @PLOSBiology: New in #PLOSBiology, @npburtt @kjgaulton &co present the type 1 #diabetes (#T1D) Knowledge Portal, an open-access resource….

RT @annagloyn: Congratulations to all but especially to our very own #VarshaRajesh who won the staff technician award. We are so lucky you….

RT @Hyunkyungkim_: Our T2D genetic clustering paper is free to read in #editorspicks of @DiabetologiaJnl March issue 🧬.

RT @MichelleNMeyer: NEW in @ScienceMagazine PUBLIC VIEWS ON POLYGENIC SCREENING OF EMBRYOS: We find substantial *superficial* interest in u….

RT @annagloyn: 🚨An early Christmas Present👇.Congratulations to @antje_rottner on this tour de force - despite 700M pesky human cells, a tra….

RT @jen_ikle: So excited to announce that my work with Colin Nichols during my fellowship @WUSTLPeds has finally been published! https://t.….

RT @biorxiv_genetic: Correction for participation bias in the UK Biobank reveals non-negligible impact on genetic associations and downstre….

RT @alicelouisejane: 📢 New review on the pathway of precision medicine in type 1 diabetes from past ➡️ present @DiabetologiaJnl . Always a….

RT @annagloyn: 🚨We are delighted to share our perspective on the importance of collaborative human islet research in elucidating the pathop….

Highlights a particular problem - bias towards assumption of T2 from clinical measures alone, especially in non-White populations with high prevalence of T2. But genetic risk tells us T1 (or even double diabetes) is no less probable!.

And a bonus finding of this study : clustering by genetic risk in 2 dimensions (Type 1 vs Type 2 diabetes) those with autoantibodies cluster the same (high T1D risk) regardless of measures of insulin resistance (e.g. waist hip ratio).

If translation is going to work, we need more non-European ancestry reference populations. Without that we’re much less accurate when using polygenic risk scores to decide who in the general population might get disease in the future.

One of the highlights of my PhD - getting to contribute to the discussion of polygenic prediction in mixed ancestry / ethnicity populations. The summary: for Type 1 diabetes general prediction holds up but risk distributions are different.