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Utilizing trait networks and structural equation models as tools to interpret multi-trait genome-wide association studies

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Academic year: 2020

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Figure

Fig. 1 Scheme of inferred network structure using the Hill-Climbing the edges refer to the strength and direction (parenthesis) which measure the confidence of the directed edge
Table  3path coefficients:  presents the magnitude of estimated structural �13 , �14 , and �24 for PSA on WU, PSA on WUE, and RB on WUE, respectively
Fig. 3 Manhattan plots (total/direct) SNP effects on projected shoot area (PSA) and root biomass (RB) using SEM-GWAS based on the network learned by the hill climbing algorithm
Fig. 4 Manhattan plot of direct (affecting each trait without any mediation), indirect (mediated by other phenotypes), and total (sum of all direct and indirect) SNP effects on water use (WU) using SEM-GWAS based on the network learned by the hill climbing
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