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Fig. 1 | Genome Medicine

Fig. 1

From: Polygenic scores for longitudinal prediction of incident type 2 diabetes in an ancestrally and medically diverse primary care physician network: a patient cohort study

Fig. 1

Association of T2D PGS with incident T2D with and without adjustment for clinical variables. In all four scenarios of clinical data availability, the T2D PGS provide additional predictive information on top of clinical risk factors based on T2D PGS HR adjusted for clinical risk factors (T2D PGS adjusted HR of 1.75 in scenario 1, 1.68 in scenario 2, 1.54 in scenario 3, and 1.47 in scenario 4) and c-index improvements of including T2D PGS in clinical risk models. These benefits are largest in scenarios of minimal data availability and is true both among (A) the total cohort and (B) participants of non-European ancestry only. Clinical risk factors in each scenario are as follows: scenario 1 age, sex; scenario 2 age, sex, BMI, family history of T2D, systolic blood pressure; scenario 3 age, sex, BMI, family history of T2D, systolic blood pressure, random glucose; scenario 4 age, sex, BMI, family history of T2D, systolic blood pressure, triglycerides, total cholesterol, and HDL combined into a clinical risk score and random glucose

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Genome Medicine

ISSN: 1756-994X

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