Additional file 1 of Sequence-based genome-wide association study reveals genetic and metabolic mechanisms underlying feed efficiency-related traits in beef cattle

Additional file 1: Fig. S1. Quantile–quantileplots of expected versus observed −log10 values for the five evaluated traits:RFI, DMI, FC, FE, and RWG. The red dashed line represents the expected null distribution under no genetic association, and the shaded area indicates the 95% confidence interval. The genomic inflation factorshown in each panel indicates the absence of relevant genomic inflation. Table S1. SNP identification, chromosome, position, P-value, region, and gene identification for residual feed intake trait. Table S2. SNP identification, chromosome, position, P-value, region, and gene identification for dry matter intake trait. Table S3. SNP identification, chromosome, position, P-value, region, and gene identification for feed conversion trait. Table S4. SNP identification, chromosome, position, P-value, region, and gene identification for feed efficiency trait. Table S5. SNP identification, chromosome, position, P-value, region, and gene identification for residual weight gain trait. Table S6. Functional enrichment results for biological process GO terms of prioritized genes associated with feed efficiency-related traits in Nellore cattle. Table S7. Functional enrichment results for KEGG pathways of prioritized genes associated with feed efficiency-related traits in Nellore cattle.