Panel A – R O C graph showing that G E P S has more success in predicting type 2 diabetes compared to R S P S. Panel B – plots showing that prevalence of diabetes among carriers of monogenic variants is greater at all percentiles of G E P S.

FIGURE 6.

Performance of Type 2 Diabetes Polygenic Scores in Diabetes Risk Prediction.

(A) Receiver operating curves for rsPS and gePS in identifying type 2 diabetes patients, using data from Morris et al. (39). Type 2 diabetes gePS (AUROC 0.66; with age and sex AUROC 0.73) demonstrate some improvement over rsPS (AUROC 0.62; with age and sex AUROC 0.72) to predict disease risk. (B) The prevalence of diabetes among individuals at each percentile of type 2 diabetes gePS (on left) is compared to the prevalence of diabetes among carriers of rare clinically significant monogenic diabetes variants (on right), in the same UK Biobank (UKBB) population. The prevalence of diabetes in MODY variant carriers is significantly greater than even the highest percentile of gePS. AUROC, area under the receiver operator characteristic curve; gePS, global extended polygenic score; MODY, maturity-onset diabetes of the young; rsPS, restricted-to-significant polygenic score; T2D, type 2 diabetes.

SOURCE: Panel A (reference 129). Copyright 2019 Endocrine Society, reprinted with permission. Panel B (reference 138). Copyright 2021 Nature Publishing Group, reprinted with permission.

From: Genetics of Type 2 Diabetes

Cover of Diabetes in America
Diabetes in America [Internet].
Lawrence JM, Casagrande SS, Herman WH, et al., editors.
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