RepeatABEL
GWAS for Multiple Observations on Related Individuals
Performs genome-wide association studies (GWAS) on individuals that are both related and have repeated measurements. For each Single Nucleotide Polymorphism (SNP), it computes score statistic based p-values for a linear mixed model including random polygenic effects and a random effect for repeated measurements. The computed p-values can be visualized in a Manhattan plot. For more details see Ronnegard et al. (2016) <doi:10.1111/2041-210X.12535> and for more examples see <https://github.com/larsronn/RepeatABEL_Tutorials>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.0 |
rolling linux/jammy R-4.5 | RepeatABEL_2.0.tar.gz |
83.8 KiB |
2.0 |
rolling linux/noble R-4.5 | RepeatABEL_2.0.tar.gz |
83.6 KiB |
2.0 |
rolling source/ R- | RepeatABEL_2.0.tar.gz |
18.7 KiB |
2.0 |
latest linux/jammy R-4.5 | RepeatABEL_2.0.tar.gz |
83.8 KiB |
2.0 |
latest linux/noble R-4.5 | RepeatABEL_2.0.tar.gz |
83.6 KiB |
2.0 |
latest source/ R- | RepeatABEL_2.0.tar.gz |
18.7 KiB |
2.0 |
2026-04-26 source/ R- | RepeatABEL_2.0.tar.gz |
18.7 KiB |
2.0 |
2026-04-23 source/ R- | RepeatABEL_2.0.tar.gz |
18.7 KiB |
2.0 |
2026-04-09 windows/windows R-4.5 | RepeatABEL_2.0.zip |
86.6 KiB |