Библиография

1. 1. Шайдуллин Р.Р., Фаизов Т.Х., Ганиев А.С. Характер распространения летальных генов у молочного скота // Уч. записки КГАВМ им. Н. Э. Баумана. 2015. № 2. C. 242–244. https://doi.org/cyberleninka.ru/article/n/harakter-rasprostraneniya-letalnyh-genov-u-molochnogo-skota
2. 2. Charlier C., Coppieters W., Rollin F. et al. Highly effective snp-based association mapping and management of recessive defects in livestock // Nat. Genet. 2008. V. 40. P. 449–454. https://doi.org/10.1038/ng.96
3. 3. Van Raden P.M., Olson K.M., Null D.J. et al. Harmful recessive effects on fertility detected by absence of homozygous haplotypes // J. Dairy Sci. 2011. № 94. P. 6153–6161. https://doi.org/10.3168/jds.2011-4624
4. 4. Fritz S., Capitan A., Djari A. et al. Detection of haplotypes associated with prenatal death in dairy cattle and identification of deleterious mutations in gart, shbg and slc37a2 // PLoS One. 2013. V. 8. № 6. https://doi.org/10.1371/journal.pone.0065550
5. 5. Cooper T.A., Wiggans G.R., Van Raden P.M. et al. Genomic evaluation of ayrshire dairy cattle and new haplotypes affecting fertility and stillbirth in holstein, brown swiss and ayrshire breeds // http://aipl.arsusda.gov
6. 6. Sonstegard T.S., Cole J.B., Van Raden P.M. et al. Identification of a nonsense mutation in cwc15 associated with decreased reproductive efficiency in jersey cattle // PLoS One. 2013. V. 8. № 1. P. 1–6. https://doi.org/10.1371/journal.pone.0054872
7. 7. McClure M., Kim E., Bickhart D. et al. Fine mapping for weaver syndrome in brown swiss cattle and the identification of 41 concordant mutations across nrcam, pnpla8 and cttnbp2 // PLoS One. 2013. V. 8. № 3. P. 1–16. https://doi.org/10.1371/journal.pone.0059251
8. 8. Kadri N.K., Sahana G., Charlier C. et al. A 660-Kb deletion with antagonistic effects on fertility and milk production segregates at high frequency in nordic red cattle: Additional evidence for the common occurrence of balancing selection in livestock // PLoS Genet. 2014. V. 10. № 1. P. 1–11. https://doi.org/10.1371/journal.pgen.1004049
9. 9. Häfliger I.M., Spengeler M., Seefried F.R. et al. Four novel candidate causal variants for deficient homozygous haplotypes in holstein cattle // Sci. Rep. 2022. № 12. P. 1–13. https://doi.org/10.1038/s41598-022-09403-6
10. 10. Cooper T.A., Wiggans G.R., Null D.J. et al. Genomic evaluation, breed identification, and discovery of a haplotype affecting fertility for ayrshire dairy cattle // J. Dairy Sci. 2014. V. 97. № 6. P. 3878–3882. https://doi.org/10.3168/jds.2013-7427
11. 11. Гладырь Е.А., Терновская О.А., Костюнина О.В. Скрининг гаплотипа фертильности АН1 айрширской породы крупного рогатого скота Центрального и Северо-Западного регионов России // АгроЗооТехника. 2018. Т. 1. № 4. С. 1–13. https://doi.org/10.15838/alt.2018.1.4.1
12. 12. Зиновьева Н.А. Гаплотипы фертильности голштинского скота // С.-х. биология. 2016. Т. 51. № 4. C. 423–435. https://doi.org/10.15389/agrobiology.2016.4.423rus
13. 13. Белая Е.В., Наметов А.М., Шамшидин А.С. Полногеномный поиск ассоциаций c QTL мясной продуктивности у скота казахской белоголовой и аулиекольской пород // Главный зоотехник. 2022. № 7. С. 3–11. https://doi.org/10.33920/sel-03-2207-01
14. 14. Белая Е.В. Биологические функции породоспецифичных SNP-маркеров мясной продуктивности у крупного рогатого скота казахской белоголовой и аулиекольской пород // Генетика и разведение животных. 2022. № 2. С. 33–39. https://doi.org/10.31043/2410-2733-2022-2-33-39
15. 15. Белая Е.В., Бейшова И.С., Селионова М.И. и др. Полногеномный поиск QLT-ассоциированных SNP для прогнозирования наследственного потенциала продуктивности у казахского белоголового скота // Вестник АПК Ставрополья. 2022. № 3(47). С. 18–25. https://doi.org/10.31279/2222-9345-2022-11-47-18-25
16. 16. Purcell S.M., Neale B., Todd-Brown K. et al. PLINK: A tool set for whole-genome association and population-based linkage analyses // Am. J. Hum. Genet. 2007. V. 81. P. 559–575. https://doi.org/10.1086/519795
17. 17. Manialawy Y., Khan S.R., Bhattacharjee A. et al. The magnesium transporter nipal1 is a pancreatic islet-expressed protein that conditionally impacts insulin secretion // J. Biol. Chem. 2020. V. 295. P. 9879–9892. https://doi.org/10.1074/jbc.RA120.013277
18. 18. Dadousis C., Somavilla A., Ilska J.J. et al. A genome-wide association analysis for body weight at 35 days measured on 137,343 broiler chickens // Genet. Sel. Evol. 2021. V. 53(1). P. 1–14. https://doi.org/10.1186/s12711-021-00663-w
19. 19. Wei W., Gao W., Li Q. et al. Comprehensive characterization of posttranscriptional impairment-related 3′-utr mutations in 2413 whole genomes of cancer patients // NPJ Genom. Med. 2022. V. 7. P. 1–12. https://doi.org/10.1038/s41525-022-00305-0
20. 20. Mayr C. What are 3’ utrs doing? // Cold. Spring. Harb. Perspect Biol. 2019. № 10. P. 1–15. https://doi.org/10.1101/cshperspect.a034728
21. 21. Duff M.O., Olson S., Wei X. et al. Genome-wide identification of zero nucleotide recursive splicing in drosophila // Nature. 2015. №. 521(7552). P. 376–379. https://doi.org/10.1038/nature14475
22. 22. Beishova I., Dossybayev K., Shamshidin A. et al. Distribution of homozygosity regions in the genome of Кazakh cattle breeds // Diversity. 2022. V. 14(4). P. 1–11. https://doi.org/10.3390/d14040279