Fig. 5: T1GRS reveals nonlinear interactions and genetic complexity in T1D. | Nature Genetics

Fig. 5: T1GRS reveals nonlinear interactions and genetic complexity in T1D.

From: Genetic association and machine learning improve the prediction of type 1 diabetes risk

Fig. 5: T1GRS reveals nonlinear interactions and genetic complexity in T1D.The alternative text for this image may have been generated using AI.

a, SHAP analysis with feature importance in the top 25 features for discovery cohort individuals assessed with T1GRS-cov. Colors indicate the contribution of 2, 1 or 0 copies of the risk allele. Positions at either end of the x axis indicate the greatest impact on T1D classification. b, Chord diagram maps the strongest interactions between T1GRS variants. Three categories are highlighted—blue represents MHC–MHC interactions, green represents MHC–non-MHC interactions and orange indicates non-MHC–non-MHC interactions. Variants with a key interaction, rs1064173/INS, are highlighted with a star. c, Top ten feature interactions ranked by interaction value shown for each previously defined category. FDR < 0.05 threshold is indicated by a dashed red line. The same key interaction, rs1064173/INS, is highlighted with a star. d, Two-dimensional partial dependence plot of INS and rs1064173 as a function of allele count. Allele counts between 0 and 1 and 1 and 2 have been interpolated for visualization purposes. e, Dueling density plots of SHAP values, averaged across individuals for each feature for MHC and non-MHC variants, where individuals are binned by HLA-DR3 or HLA-DR4 haplotype status. A blue asterisk indicates that the MHC distribution is significantly different from 0, while a red asterisk indicates a significant difference for the non-MHC distribution. P values were calculated by a one-sample, two-tailed t test. Error bars on the plot represent the interquartile range. f, AUC values for T1GRS (purple), GRS2 (red) and a LogReg (orange) are plotted at increasing Complexity Score deciles (Methods). Two-sided DeLong tests—*P < 0.05, **P < 0.001, ***P < 0.0001—for T1GRS versus GRS2 and GRS2 versus LogReg, arranged between AUC points at each decile. Specific P values for AUC and DeLong tests can be found in Supplementary Table 14.

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