Wang, X., Pei, J., Xiong, L., et al., Genetic diversity, phylogeography, and maternal origin of yak (Bos grunniens), BMC Genomics, 2024, vol. 15, no. 25, no. 1, p. 481. https://doi.org/10.1186/s12864-024-10378-z

Chekirov, K.B., Isakova, Zh.T., Kipen, V.N., et al., Differentiation of Bos grunniens and Bos taurus based on STR locus polymorphism, Vavilovskii Zh. Genet. Sel., 2023, vol. 27, no. 5, pp. 488—494. https://doi.org/10.18699/VJGB-23-59

Article  CAS  Google Scholar 

Stolpovsky, Y.A., Kol, N.V., Evsyukov, A.N., et al., Comparative analysis of ISSR marker polymorphism in population of yak (Bos mutus) and in F1 hybrids between yak and cattle in the Sayan—Altai region, Russ. J. Genet., 2014, vol. 50, no. 10, pp. 1025—1037. https://doi.org/10.1134/S1022795414100135

Article  CAS  Google Scholar 

Al-Kaisy, T.V., Comparative study of the allele pool of yaks and their hybrids with cattle using microsatellites, Cand. Sci. (Biol.) Dissertation, Dubrovitsy, 2011.

Kipen, V.N. and Snytkov, E.V., GENIS—methodological approach for in silico genotyping (validation of Sus scrofa sequencing), Math. Biol. Bioinf., 2024, vol. 19, no. 1, pp. 36—51. https://doi.org/10.17537/2024.19.36

Article  Google Scholar 

Sequence Read Archive (SRA). https://www.ncbi.nlm.nih.gov/sra. Accessed June 20, 2024.

Ritchie, M.D., Hahn, L.W., Roodi, N., et al., Multifactor-dimensionality reduction reveals high-order interactions among estrogen–metabolism genes in sporadic breast cancer, Am. J. Hum. Genet., 2001, vol. 69, no. 1, pp. 138—147. https://doi.org/10.1086/321276

Article  CAS  PubMed  PubMed Central  Google Scholar 

Kalbfleisch, T., Petersen, J.L., Tait, R.G., Jr., et al., Using triallelic SNPs for determining parentage in North American yak (Bos grunniens) and estimating cattle (B. taurus) introgression, F1000Research, 2020, vol. 9, no. 1096, pp. 1—26. https://doi.org/10.12688/f1000research.25803.2

Article  Google Scholar 

BovineHD DNA Analysis Kit. https://www.illumina.com/products/by-type/microarray-kits/bovinehd.html. Accessed June 21, 2024.

Eusebi, P.G., Sevane, N., O’Rourke, T., et al., Gene expression profiles underlying aggressive behavior in the prefrontal cortex of cattle, BMC Genomics, 2021, vol. 22, no. 245, pp. 1—14. https://doi.org/10.1186/s12864-021-07505-5

Article  CAS  Google Scholar 

Jin, M., Wang, H., Liu, G., et al., Whole-genome resequencing of Chinese indigenous sheep provides insight into the genetic basis underlying climate adaptation, Genet. Sel. Evol., 2024, vol. 2, no. 56, no. 1, pp. 1—14. https://doi.org/10.1186/s12711-024-00880-z

Zhao, F., McParland, S., Kearney, F., et al., Detection of selection signatures in dairy and beef cattle using high-density genomic information, Genet. Sel. Evol., 2015, vol. 47(1), no. 49, pp. 1—12. https://doi.org/10.1186/s12711-015-0127-3

Johansson, A., Marroni, F., Hayward, C., Franklin, C.S., et al., Common variants in the JAZF1 gene associated with height identified by linkage and genome-wide association analysis, Hum. Mol. Genet., 2009, vol. 18, no. 2, pp. 373—380. https://doi.org/10.1093/hmg/ddn350

Article  CAS  PubMed  Google Scholar 

Verardo, L.L., Gene networks from genome wide association studies for pig reproductive traits: Tese Ciências Agrárias, Viçosa: Universidade Federal de Viçosa, 2015. http://www.locus.ufv.br/handle/123456789/6773.

Gaddis, K.L.P., Megonigal, J.H., Clay, J.S., and Wolfe, C.W., Genome-wide association study for ketosis in US Jerseys using producer-recorded data, J. Dairy Sci., 2018, vol. 101, no. 1, pp. 413—424. https://doi.org/10.3168/jds.2017-13383

Article  CAS  Google Scholar 

Zeng, X., Angus cattle at high altitude: pulmonary arterial pressure, estimated breeding value and genome-wide association study, Ph.D. Dissertation, Colorado: Colorado State Univ., 2016.

Kim, S., Cheong, H.S., Shin, H.D., et al., Genetic diversity and divergence among Korean cattle breeds assessed using a BovineHD single-nucleotide polymorphism chip, Asian-Australas. J. Anim. Sci., 2018, vol. 31, no. 11, pp. 1691—1699. https://doi.org/10.5713/ajas.17.0419

Article  CAS  PubMed  PubMed Central  Google Scholar 

Lee, J., Mun, H., Koo, Y., et al., Enhancing genomic prediction accuracy for body conformation traits in Korean Holstein cattle, Animals, 2024, vol. 14, no. 7, pp. 1—14. https://doi.org/10.3390/ani14071052

Article  Google Scholar