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Visualizing heterogeneity in type 2 diabetes phenotype, outcome and drug response

Phenotypic heterogeneity in type 2 diabetes (T2D) was visualized by non-linear dimensionality reduction in a cohort of over 23,000 people. Variation in the T2D phenotype mapped to variation in drug response, risk of disease complications and underlying genetic architecture.

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Fig. 1: Heterogeneity of the T2D phenotype at diagnosis.

References

  1. Pearson, E. R. Type 2 diabetes: a multifaceted disease. Diabetologia 62, 1107–1112 (2019). A review article summarizing the complexity and heterogeneity of diabetes.

    Article  Google Scholar 

  2. Ahlqvist, E. et al. Novel subgroups of adult-onset diabetes and their association with outcomes: a data-driven cluster analysis of six variables. Lancet Diabetes Endocrinol. 6, 361–369 (2018). A study reporting diabetes subtypes using phenotypic information.

    Article  Google Scholar 

  3. Udler, M. S. et al. Type 2 diabetes genetic loci informed by multi-trait associations point to disease mechanisms and subtypes: A soft clustering analysis. PLOS Med. 15, e1002654 (2018). A study reporting diabetes subtypes using a soft clustering method and genetic variants related to T2D.

    Article  Google Scholar 

  4. McCarthy, M. I. Painting a new picture of personalised medicine for diabetes. Diabetologia 60, 793–799 (2017). A review article describing the palette model of diabetes.

    Article  Google Scholar 

  5. Thakarakkattil Narayanan Nair, A. et al. https://atn-uod2018.shinyapps.io/Prediction_diabetes_outcome_18082021 (2022). A web application for mapping people with T2D to the phenotype tree and predicting their risk of diabetes progression and complications.

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This is a summary of: Thakarakkattil Narayanan Nair, A. et al. Heterogeneity in phenotype, disease progression and drug response in type 2 diabetes. Nat. Med. https://doi.org/10.1038/s41591-022-01790-7 (2022).

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Visualizing heterogeneity in type 2 diabetes phenotype, outcome and drug response. Nat Med 28, 909–910 (2022). https://doi.org/10.1038/s41591-022-01791-6

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