1 |
Anton I, Huth B, Fuller I, Gabor G, Hollo G, Zsolnai A. Effect of single-nucleotide polymorphisms on the breeding value of fertility and breeding value of beef in Hungarian Simmental cattle. Acta Vet Hung 2018;66:215-25. https://doi.org/10.1556/004.2018.020
DOI
|
2 |
Weller JI, Glick G, Shirak A, et al. Predictive ability of selected subsets of single nucleotide polymorphisms (SNPs) in a moderately sized dairy cattle population. Animal 2014;8:208-16. https://doi.org/10.1017/S1751731113002188
DOI
|
3 |
Morris DG, Waters SM, McCarthy SD, et al. Pleiotropic effects of negative energy balance in the postpartum dairy cow on splenic gene expression: repercussions for innate and adaptive immunity. Physiol Genomics 2009;39:28-37. https://doi.org/10.1152/physiolgenomics.90394.2008
DOI
|
4 |
Howard JT. Kachman SD, Snelling WM, et al. Beef cattle body temperature during climatic stress: a genome-wide association study. Int J Biometeorol 2014;58:1665-72. https://doi.org/10.1007/s00484-013-0773-5
DOI
|
5 |
Li RW, Li C, Gasbarre LC. The vitamin D receptor and inducible nitric oxide synthase associated pathways in acquired resistance to Cooperia oncophora infection in cattle. Vet Res 2011;42:48. https://doi.org/10.1186/1297-9716-42-48
DOI
|
6 |
Canovas A, Reverter A, DeAtley KL, et al. Multi-tissue omics analyses reveal molecular regulatory networks for puberty in composite beef cattle. PLoS One 2014;9:e102551. https://doi.org/10.1371/journal.pone.0102551
DOI
|
7 |
Dias MM, Canovas A, Mantilla-Rojas C, et al. SNP detection using RNA-sequences of candidate genes associated with puberty in cattle. Genet Mol Res 2017;16:16019522. https://doi.org/10.4238/gmr16019522
DOI
|
8 |
Card CJ, Krieger KE, Kaproth M, Sartini BL. Oligo-dT selected spermatozoal transcript profiles differ among higher and lower fertility dairy sires. Anim Reprod Sci 2017;177:105-23. https://doi.org/10.1016/j.anireprosci.2016.12.011
DOI
|
9 |
Yuan Z, Liu E, Liu Z, et al. Selection signature analysis reveals genes associated with tail type in Chinese indigenous sheep. Anim Genet 2017;48:55-66. https://doi.org/10.1111/age.12477
DOI
|
10 |
Moshaii BA, Rahimi-Mianji G, Nejati-Javaremi A, Moradi MH, Konig S. Genomic scan for selection signatures associated with mastitis in German Holstein cattle. Iran J Anim Sci 2017;48:453-61. https://doi.org/10.22059/ijas.2017.240547.653558
DOI
|
11 |
Cairns DM, Liu R, Sen M, et al. Interplay of Nkx3.2, Sox9 and Pax3 regulates chondrogenic differentiation of muscle progenitor cells. PLoS One 2012;7:e39642. https://doi.org/10.1371/journal.pone.0039642
DOI
|
12 |
Dai WT, Wang QJ, ZouYX, White RR, Liu JX, Liu HY. Short communication: comparative proteomic analysis of the lactating and nonlactating bovine mammary gland. J Dairy Sci 2017;100:5928-35. https://doi.org/10.3168/jds.2016-12366
DOI
|
13 |
Standing ASI, Malinova D, Hong Y, et al. Autoinflammatory periodic fever, immunodeficiency, and thrombocytopenia (PFIT) caused by mutation in actin-regulatory gene WDR1. J Exp Med 2017;214:59-71. https://doi.org/10.1084/jem.20161228
DOI
|
14 |
Kim Y, Ryu J, Woo J, Kim JB, Kim CY, Lee C. Genome-wide association study reveals five nucleotide sequence variants for carcass traits in beef cattle. Anim Genet 2011;42:361-5. https://doi.org/10.1111/j.1365-2052.2010.02156.x
DOI
|
15 |
Hartmann C. Transcriptional networks controlling skeletal development. Curr Opin Genet Dev 2009;19:437-43. https://doi.org/10.1016/j.gde.2009.09.001
DOI
|
16 |
Liu R, Sun Y, Zhao G, et al. Genome-wide association study identifies loci and candidate genes for body composition and meat quality traits in Beijing-You chickens. PLoS One 2013;8:e61172. https://doi.org/10.1371/journal.pone.0061172
DOI
|
17 |
Nemcova L, Jansova D, Vodickova-Kepkova K, et al. Detection of genes associated with developmental competence of bovine oocytes. Anim Reprod Sci 2016;166:58-71. https://doi.org/10.1016/j.anireprosci.2016.01.004
DOI
|
18 |
Baik M, Vu TTT, Piao MY, Kang HJ. Association of DNA methylation levels with tissue-specific expression of adipogenic and lipogenic genes in longissimus dorsi muscle of Korean cattle. Asian-Australas J Anim Sci 2014;27:1493-8. https://doi.org/10.5713/ajas.2014.14283
DOI
|
19 |
Neupane M, Geary TW, Kiser JN, et al. Loci and pathways associated with uterine capacity for pregnancy and fertility in beef cattle. PLoS One 2017;12:e0188997. https://doi.org/10.1371/journal.pone.0188997
DOI
|
20 |
Kommadath A, te Pas MFW, Smits MA. Gene coexpression network analysis identifies genes and biological processes shared among anterior pituitary and brain areas that affect estrous behavior in dairy cows. J Dairy Sci 2013;96:2583-95. https://doi.org/10.3168/jds.2012-5814
DOI
|
21 |
Seong J, Yoon H, Kong HS. Identification of microRNA and target gene associated with marbling score in Korean cattle (Hanwoo). Genes Genomics 2016;38:529-38. https://doi.org/10.1007/s13258-016-0401-y
DOI
|
22 |
Malchiodi F, Brito LF, Schenkel FS, Christen AM, Kelton DF, Miglior F. Genome-wide association study and functional analysis of infectious and horn type hoof lesions in Canadian Holstein cattle. In: Proceedings of the World Congress on Genetics Applied to Livestock Production 2018: Auckland, New Zealand.
|
23 |
Balteanu VA, Figueiredo-Cardoso T, Amills M, et al. The footprint of recent and strong demographic decline in the genomes of Mangalitza pigs. Animal 2019;13:2440-6. https://doi.org/10.1017/S1751731119000582
DOI
|
24 |
Chen X, Cheng ZR, Zhang S, Werling D, Wathes DC. Combining genome wide association studies and differential gene expression data analyses identifies candidate genes affecting mastitis caused by two different pathogens in the dairy cow. Open J Anim Sci 2015;5:358-93. https://doi.org/10.4236/ojas.2015.54040
DOI
|
25 |
Wongpom B, Koonawootrittriron S, Elzo MA, Suwanasopee T, Jattawa D. Accuracy of genomic-polygenic estimated breeding value for milk yield and fat yield in the Thai multibreed dairy population with five single nucleotide polymorphism sets. Asian-Australas J Anim Sci 2019;32:1340-8. https://doi.org/10.5713/ajas.18.0816
DOI
|
26 |
Bene S, Giczi A, Radli A, Polgar JP, Szabo F. Multibreed breeding value estimation based on weaning results in a beef herd in Hungary. Allattenyesztes es Takarmanyozas 2013;62:218-33.
|
27 |
Xu D, Olson J, Cole JN, et al. Heparan sulfate modulates neutrophil and endothelial function in antibacterial innate immunity. Infect Immun 2015;83:3648-56. https://doi.org/10.1128/IAI.00545-15
DOI
|
28 |
Segura V, Vilhjalmsson BJ, Platt A, et al. An efficient multilocus mixed-model approach for genome-wide association studies in structured populations. Nat Genet 2012;44:825-30. https://doi.org/10.1038/ng.2314
DOI
|
29 |
Katoh M, Katoh M. Comparative integromics on Eph family. Int J Oncol 2006;28:1243-7. https://doi.org/10.3892/ijo.28.5.1243
DOI
|
30 |
Kadler KE, Hill A, Canty-Laird EG. Collagen fibrillogenesis: fibronectin, integrins, and minor collagens as organizers and nucleators. Curr Opin Cell Biol 2008;20:495-501. https://doi.org/10.1016/j.ceb.2008.06.008
DOI
|
31 |
Morlino S, Carbone A, Ritelli M, et al. TAB2 c.1398dup variant leads to haploinsufficiency and impairs extracellular matrix homeostasis. Hum Mutat 2019;40:1886-98. https://doi.org/10.1002/humu.23834
DOI
|
32 |
Gomyo H, Arai Y, Tanigami A, et al. A 2-Mb sequence-ready contig map and a novel immunoglobulin superfamily gene IGSF4 in the LOH region of chromosome 11q23.2. Genomics 1999;62:139-46. https://doi.org/10.1006/geno.1999.6001
DOI
|
33 |
Alshawi A, Essa A, Sahar Al-Bayatti S, Hanotte O. Genome analysis reveals genetic admixture and signature of selection for productivity and environmental traits in Iraqi cattle. Front Genet 2019;10:609. https://doi.org/10.3389/fgene.2019.00609
DOI
|
34 |
Weng L, Hubner R, Claessens A, et al. Isolation and characterization of chondrolectin (Chodl), a novel C-type lectin predominantly expressed in muscle cells. Gene 2003;308:21-9. https://doi.org/10.1016/S0378-1119(03)00425-6
DOI
|
35 |
Bodo I, Gera I, Koppany G. The Hungarian Grey cattle breed: a technical publication. Budapest, Hungary: Association of the Hungarian Grey Cattle Breeders; 1996.
|
36 |
Weng L, van Bockstaele DR, Wauters J, et al. A novel alternative spliced chondrolectin isoform lacking the transmembrane domain is expressed during T cell maturation. J Biol Chem 2003;278:19164-70. https://doi.org/10.1074/jbc.M300653200
DOI
|
37 |
Han H. Identification of several key genes by microarray data analysis of bovine mammary gland epithelial cells challenged with Escherichia coli and Staphylococcus aureus. Gene 2019;683:123-32. https://doi.org/10.1016/j.gene.2018.10.004
DOI
|
38 |
Tormay B. A szarvasmarha es tenyesztese I-II (the cattle and cattle breeding). Budapest, Hungary: Athenaeum Irodalmi es Nyomdai RT; 1901.
|
39 |
Bartosiewicz L. The Hungarian Grey cattle: a traditional European breed. Anim Genet Resour Inf 1997;21:49-60. https://doi.org/10.1017/S1014233900000924
DOI
|
40 |
Zsolnai A, Kovacs A, Anton I, et al. Comparison of different Hungarian Grey herds as based on microsatellite analysis. Anim Sci Pap Rep 2014;32:121-30.
|
41 |
Radacsi A, Beri B, Bodo I. Szarvszin-valtozatok a magyar szurke szarvasmarha fajtaban (evaluation of horn colour varieties in the Hungarian Grey cattle). Allattenyesztes es Takarmanyozas 2008;57:291-303.
|
42 |
Meissner K. A magyarfajta szarvasmarha standardja (standard of Hungarian cattle). Koztelek 1929;39:150-1.
|
43 |
Sharma A, Lee JS, Dang CG, et al. Stories and challenges of genome wide association studies in livestock - a review. Asian-Australas J Anim Sci 2015;28:1371-9. https://doi.org/10.5713/ajas.14.0715
DOI
|
44 |
Ardicli S, Samli H, Alpay F, Dincel D, Soyudal B, Balci F. Association of single nucleotide polymorphisms in the FABP4 gene with carcass characteristics and meat quality in Holstein bulls. Ann Anim Sci 2017;17:117-30. https://doi.org/10.1515/aoas-2016-0045
DOI
|
45 |
Bodo, I. The maintenance of Hungarian breeds of farm animals threatened by extinction. In: Alderson L, editor. Genetic conservation of domestic livestock. Wallingford, UK: CAB International; 1990. pp. 73-84.
|
46 |
Anton I, Kovacs K, Fesus L, et al. Effect of DGAT1 and TG gene polymorphisms on intramuscular fat and on milk production traits in different cattle breeds in Hungary. Acta Vet Hung 2008;56:181-6. https://doi.org/10.1556/avet.56.2008.2.5
DOI
|
47 |
Anton I, Zsolnai A, Hollo I, Repa I, Hollo G. Effect of thyroglobulin gene polymorphism on the intramuscular fat content in cattle examined by x-ray computed tomography and Soxhlet methods. Arch Tierz 2013;56:593-6. https://doi.org/10.7482/0003-9438-56-059
DOI
|