Table 3.
Identification of genes based on additive genetic variance explained by top 10 window regions for milk fat yield and fat percentage traits.
| Trait | Chr | Start (bp) | Stop (bp) | % VE | Genes |
|---|---|---|---|---|---|
| FY | 11 | 17,769,576 | 18,742,505 | 0.551 | GOSR2, RPRML, LYZL6, RDM1, PLEKHM1, ARHGAP27, MAP3K14, FMNL1, HEXIM2, HEXIM1, ACBD4, PLCD3, NMT1 |
| 3 | 151,003,018 | 151,972,475 | 0.483 | ANO6, DBX2, NELL2 | |
| 6 | 3,644,480 | 4,610,354 | 0.420 | BBS7, CCNA2, EXOSC9, SMIM43 | |
| 19 | 5,602,339 | 6,570,519 | 0.404 | GADL1, OSBPL10, STT3B | |
| 3 | 229,350,131 | 230,350,131 | 0.376 | ATP6V1E1, TUBA8, CDC42EP1, LGALS2, GGA1, CACNA1C, U6, PDXP | |
| 2 | 56,504,189 | 57,464,796 | 0.373 | - | |
| 7 | 37,844,731 | 38,839,931 | 0.373 | SNAP23, LRRC57, HAUS2, CDAN1, TTBK2, UBR1, TMEM62, CCNDBP1, EPB42 | |
| 5 | 47,771,920 | 48,762,985 | 0.368 | TCF7, CDKL3, UBE2B, JADE2, SAR1B, SEC24A, CAMLG, DDX46, C5orf24 | |
| 1 | 156,102,645 | 157,082,096 | 0.357 | ROBO2, U2 | |
| 13 | 81,534,944 | 82,519,944 | 0.301 | UBE2V1, CEBPB, PTPN1, PARD6B, BCAS4, DPM1, KCNG1, MOCS3 | |
| FAT% | 6 | 3,563,877 | 4,559,472 | 0.649 | NAF1, BBS7, CCNA2, EXOSC9, SMIM43 |
| 26 | 3,879,792 | 4,875,104 | 0.619 | - | |
| 8 | 82,898,823 | 83,853,076 | 0.571 | ESR1, SYNE1, MYCT1, VIP | |
| 8 | 79,925,767 | 80,905,873 | 0.550 | UST, TAB2, ZC3H12D, PPIL4, GINM1, KATNA1, LATS1, NUP43, PCMT1, LRP11 | |
| 26 | 700,916 | 1,677,676 | 0.540 | DLGAP2, CLN8, CETN2, KBTBD11, MYOM2 | |
| 9 | 53,991,923 | 54,979,070 | 0.533 | RDH10, ELOC, TMEM70, LY96 | |
| 2 | 124,285,685 | 125,280,477 | 0.527 | FAM168B, PLEKHB2 | |
| 25 | 12,322,443 | 13,278,443 | 0.483 | ZNF248, BMS1, CHRM3, ZNF33B | |
| 7 | 50,459,248 | 51,446,200 | 0.470 | RORA, ICE2, ANXA2 | |
| 25 | 45,303,771 | 46,293,771 | 0.419 | DRGX, ERCC6, SLC18A3, C25H10orf53, OGDHL, PARG, TIMM23B, SNORA74, MARCHF8, ZFAND4 |