Abstract
The present study aimed to explore runs of homozygosity (ROH), Heterozygosity Enriched Regions (HER) using the sliding window approach in both PLINK and detectRUNS, as well as the consecutive SNP approach in detectRUNS and their association with important economic traits. Genomic inbreeding coefficient based on ROH and heterosis coefficient based on HER were also estimated among crossbred (n = 81) by using GGP_HDv3_C genotyping assay. Total ROH varied from around 600 in the sliding window approach and almost double in the Consecutive SNP approach of detectRUNS. Similarly, the HER are 756 in the sliding window and 771 in the Consecutive SNP method. The mean inbreeding coefficient range varied in different approaches, i.e., 0.016–0.022 is observed based on ROH (Froh), and the heterosis coefficient based on HER (Frohet) is 0.0019. Top ROH and HER regions contain important genes related to dairy (EHHADH, CACNA1C, MICALL1, EIF3L, GTPBP1, SYNGR1, ATF4, GRAP2, FAM83F, ACO2), immunity (LIPH, TMEM41A, PEX26, CDC42EPI, CXXC5, PSD2, PURA, CYSTM1, RNF14), growth and carcass (MAGEF1, TGS1, LYN, CHCHD7, FAM110B, SDCBP, SH3BP1, GGA1, TRIOBP, PICK1, MAFF, TOMM22, MGAT3, TNRC6B, ADSL, EP300, SMDT1, MATR3) traits. These findings may provide valuable insights into the understanding of genome-wide homozygosity and heterozygosity patterns and genetic architecture of the Pakistani crossbred cattle.
| Original language | English |
|---|---|
| Article number | 396 |
| Journal | Tropical Animal Health and Production |
| Volume | 57 |
| Issue number | 8 |
| Early online date | 26 Sept 2025 |
| DOIs | |
| Publication status | Print publication - Nov 2025 |
Bibliographical note
© 2025. The Author(s), under exclusive licence to Springer Nature B.V.Keywords
- Crossbred cattle of Pakistan
- detectRUNS
- Gene annotation
- Heterozygosity-enriched regions
- Inbreeding level
- PLINK
- Runs of homozygosity
- Cattle/genetics
- Homozygote
- Animals
- Pakistan
- Dairying
- Inbreeding
- Heterozygote
- Female
- Polymorphism, Single Nucleotide
- Genome