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. Author manuscript; available in PMC: 2022 Aug 3.
Published in final edited form as: J Am Coll Cardiol. 2021 Aug 3;78(5):496–512. doi: 10.1016/j.jacc.2021.03.346

Table 1.

Comparison of T2D subgroups identified by representative clinical covariate vs genetic clustering methods.

Clinical & Biochemical Clustering Ahlqvist et al (6) Genetic Clustering Udler et al (8) and Mahajan et al (37)
Cluster Characteristics (6) Outcomes Cluster Characteristics Outcomes (8) Example Genes captured in cluster
β-cell Autoimmune Autoantibody + ↓ Insulin (plasma) ↑ insulin dependence β-cell ↑ proinsulin,
↓ insulin
↑ CAD,
↑ stroke
HNF1A, SLC30A8
Insulin deficiency ↓ Insulin (plasma) ↑ Retinopathy,
↑ insulin
dependence
Proinsulin ↓ insulin,
↓ proinsulin
- KCNJ11
Mixed β-cell + insulin resistance (from (37)) - - - Mixed ↓ insulin,
↓ proinsulin,
↑ HOMA2-β
- PAM, RREB1
Insulin Resistance Insulin resistance ↑ HOMA2-IR,
↑ HOMA2-β
↑ DKD Lipodystrophy ↓ BMI, ↑ insulin, ↑ TG ↑ CAD,
↑ DKD,
↑ HTN
KLF14, FAM13A
NAFLD/Lipid ↓ TG ↓ DKD TM6SF2, GCKR
Obesity ↑ BMI; mild T2D - Obesity/Adiposity ↑ BMI, ↑insulin - FTO/IRX3, MCR4
? Aging ↑ Age, normal BMI, mild T2D - - - - -

Abbreviations: BMI – body mass index, CAD – coronary artery disease, DKD – diabetic kidney disease, HOMA-β - homeostatic model assessment of pancreatic beta cell function, HOMA2-IR - homeostatic model assessments of insulin resistance, HTN - hypertension, LADA – latent autoimmune diabetes in adults, NAFLD – nonalcoholic fatty liver disease, T1D – type 1 diabetes, TG - triglycerides