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Fig. 3 | Genome Medicine

Fig. 3

From: Predicting the presence of coronary plaques featuring high-risk characteristics using polygenic risk scores and targeted proteomics in patients with suspected coronary artery disease

Fig. 3

Predictive performance of individual and combined models. Models included features from up to three feature groups, as shown on the x-axis, revealing the CRF + GPSMult model to be the most predictive in the full cohort. Stratifying patients by age group resulted in improved GPSMult performance in the group ≤ 55 years of age, while the CRF + GPSMult models were best in both groups. AUC, area under the curve; CRF, clinical risk factor; GPSMult, multi-trait multi-ancestry genome-wide polygenic score; Full, CRF + protein + GPSMult

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Genome Medicine

ISSN: 1756-994X

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