MOESM2 of Genome-wide association scan for heterotic quantitative trait loci in multi-breed and crossbred beef cattle
Creators: name: Everestus Akanno
name: Liuhong Chen
name: Abo-Ismail, Mohammed
name: Crowley, John
name: Zhiquan Wang
name: Changxi Li
name: Basarab, John
name: MacNeil, Michael
name: Plastow, Graham
Publisher: name: figshare
Year: 2018
Subjects: subject: Space Science
subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: FOS: Biological sciences
subject: Ecology
subject: 69999 Biological Sciences not elsewhere classified
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: FOS: Mathematics
subject: Hematology
subject: Plant Biology
subject: 60506 Virology

description: Additional file 2: Figure S1. Quantile–quantile (Q–Q) plot of p values for additive SNP association with growth traits in purebreds. Figure S2. Quantile–quantile (Q–Q) plot of p values for additive SNP association with carcass traits in purebreds. Figure S3. Quantile–quantile (Q–Q) plot of p values for additive SNP association with growth traits in crossbreds. Figure S4. Quantile–quantile (Q–Q) plot of p values for additive SNP association with carcass traits in crossbreds. Figure S5. Quantile–quantile (Q–Q) plot of p values for additive SNP association with growth traits in combined data. Figure S6. Quantile–quantile (Q–Q) plot of p values for additive SNP association with carcass traits in combined data. Figure S7. Quantile–quantile (Q–Q) plot of p values for dominance SNP association with growth traits in purebreds. Figure S8. Quantile–quantile (Q–Q) plot of p values for dominance SNP association with carcass traits in purebreds. Figure S9. Quantile–quantile (Q–Q) plot of p values for dominance SNP association with growth traits in crossbreds. Figure S10. Quantile–quantile (Q–Q) plot of p values for dominance SNP association with carcass traits in crossbreds. Figure S11. Quantile–quantile (Q–Q) plot of p values for dominance SNP association with growth traits in the combined data. Figure S12. Quantile–quantile (Q–Q) plot of p values for dominance SNP association with carcass traits in the combined data. Figure S13. Joint genome-wide association analysis for additive SNP effects on growth traits in purebreds. Figure S14. Joint genome-wide association analysis for additive SNP effects on carcass traits in purebreds. Figure S15. Joint genome-wide association analysis for additive SNP effects on growth traits in crossbreds. Figure S16. Joint genome-wide association analysis for additive SNP effects on carcass traits in crossbreds. Figure S17. Joint genome-wide association analysis for additive SNP effects on growth traits in the combined data. Figure S18. Joint genome-wide association analysis for additive SNP effects on carcass traits in the combined data. Figure S19. Joint genome-wide association analysis for dominance SNP effects on growth traits in purebreds. Figure S20. Joint genome-wide association analysis for dominance SNP effects on carcass traits in purebreds. Figure S21. Joint genome-wide association analysis for dominance SNP effects on growth traits in crossbreds. Figure S22. Joint genome-wide association analysis for dominance SNP effects on carcass traits in crossbreds. Figure S23. Joint genome-wide association analysis for dominance SNP effects on growth traits in the combined data. Figure S24. Joint genome-wide association analysis for dominance SNP effects on carcass traits in the combined data.