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. 2021 Jul 6;64(9):2012–2025. doi: 10.1007/s00125-021-05491-7

Fig. 2.

Fig. 2

(ae) Clustering of combined macrovascular disease risk by multiPRS using unsupervised hierarchical clustering algorithm. This clustering method identified three main clusters of individuals with low (blue; L), medium (pink; M) or high (red; H) combined macrovascular risk representing 37.1%, 33.5% and 29.4%, respectively, of ADVANCE participants. (a) The multiPRS values for each participant and each outcome are represented by z score (blue colour: negative score, red colour: positive score) in the heat map. (b, c) The incidence (%) of cardiovascular (*p = 1.5 × 10−13) (b) and all-cause death (p = 1.8 × 10−21) (c) were compared between the high and the low clusters. (d, e) Differences in UACR (p = 1 × 10−4) (d) and eGFR (§p = 2 × 10−44) (e) values were determined between the high and the low clusters. eGFR is based on CKD-EPI formula