Visualizing heterogeneity in type 2 diabetes phenotype, outcome and drug response-Reference-Cited by-同舟云学术

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

Published:2022-05 Issue:5 Volume:28 Page:909-910
ISSN:1078-8956
Container-title:Nature Medicine
language:en
Short-container-title:Nat Med

Author:

Publisher

Springer Science and Business Media LLC

Subject

General Biochemistry, Genetics and Molecular Biology,General Medicine

Link

https://www.nature.com/articles/s41591-022-01791-6.pdf

Reference5 articles.

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.

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.

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.

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.

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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