Fig. 5: Applications of PRS model derived from LASSOSUM using multi-ancestry and multi-trait GWAS data. | Nature Communications

Fig. 5: Applications of PRS model derived from LASSOSUM using multi-ancestry and multi-trait GWAS data.

From: Multi-ancestry and multi-trait genome-wide association meta-analyses inform clinical risk prediction for systemic lupus erythematosus

Fig. 5: Applications of PRS model derived from LASSOSUM using multi-ancestry and multi-trait GWAS data.The alternative text for this image may have been generated using AI.

a The odd ratios (OR) and 95% confidence intervals (CIs; bars) of each PRS stratus against individuals in the lowest quintile. We stratified PRS into 5 groups with the bottom quintile used as the reference group. The red dashed line indicates OR = 1. b AUC of PRS (P), ANA (A), anti-dsDNA (D), and when these tests are used together to diagnose SLE. P values are calculated via one-sided Delong’s test. It should be noted that this analysis is done in a subset of patients who have available information on both ANA and anti-dsDNA tests. c Risk gradient curves for patients with positive/negative ANA test results, positive/negative anti-dsDNA test results, and positive ANA and negative anti-dsDNA test results. The lines represent the relationship between PRS quintiles and fractions of SLE cases, and the shaded areas surrounding the lines represent 95% CIs. Here, SLE cases are defined according to Def1 (Supplementary Table 4).

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