From: Highly accurate sequence imputation enables precise QTL mapping in Brown Swiss cattle
Gen Conc | S2 | S3 | S4 | S5 | S6 | S7 |
---|---|---|---|---|---|---|
 Beagle | 0.947 (0.024) | 0.967 (0.013) | 0.945 (0.94–0.95) | 0.966 (0.96–0.972) | 0.979 (0.976–0.981) | 0.984 (0.983–0.986) |
 FImpute | 0.938 (0.024) | 0.957 (0.012) | 0.935 (0.93–0.944) | 0.960 (0.953–0.965) | 0.974 (0.971–0.977) | 0.982 (0.98–0.984) |
 IMPUTE2 | 0.962 (0.02) | 0.973 (0.008) | 0.959 (0.956–0.963) | 0.9712 (0.966–0.975) | 0.981 (0.978–0.983) | 0.985 (0.984–0.987) |
 Minimac | 0.96 (0.02) | 0.972 (0.008) | 0.957 (0.955–0.962) | 0.968 (0.963–0.973) | 0.980 (0.978–0.983) | 0.9852 (0.983–0.987) |
Geno Corr | ||||||
 Beagle | 0.863 (0.053) | 0.914 (0.031) | 0.857 (0.848–0.87) | 0.914 (0.899–0.923) | 0.932 (0.923–0.941) | 0.932 (0.924–0.94) |
 FImpute | 0.827 (0.052) | 0.879 (0.029) | 0.819 (0.805–0.845) | 0.894 (0.878–0.904) | 0.916 (0.904–0.926) | 0.923 (0.91–0.931) |
 IMPUTE2 | 0.905 (0.042) | 0.930 (0.02) | 0.897 (0.891–0.908) | 0.9261 (0.915–0.932) | 0.939 (0.93–0.946) | 0.938 (0.93–0.945) |
 Minimac | 0.899 (0.041) | 0.926 (0.022) | 0.8912 (0.886–0.902) | 0.9162 (0.905–0.924) | 0.9358 (0.927–0.944) | 0.935 (0.927–0.943) |
Dos Corr | ||||||
 Beagle | 0.951 (0.028) | 0.973 (0.013) | 0.956 (0.951–0.961) | 0.977 (0.972–0.979) | 0.980 (0.978–0.982) | 0.982 (0.98–0.983) |
 FImpute | – | – | – | – | – | – |
 IMPUTE2 | 0.964 (0.023) | 0.977 (0.009) | 0.967 (0.963–0.971) | 0.979 (0.975–0.98) | 0.980 (0.978–0.981) | 0.981 (0.979–0.982) |
 Minimac | 0.964 (0.023) | 0.978 (0.009) | 0.967 (0.963–0.971) | 0.9786 (0.975–0.98) | 0.982 (0.98–0.983) | 0.983 (0.981–0.984) |