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For: Cole J, Null D, Vanraden P. Phenotypic and genetic effects of recessive haplotypes on yield, longevity, and fertility. Journal of Dairy Science 2016;99:7274-88. [DOI: 10.3168/jds.2015-10777] [Cited by in Crossref: 39] [Cited by in F6Publishing: 27] [Article Influence: 6.5] [Reference Citation Analysis]
Number Citing Articles
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6 Ablondi M, Johnsson M, Eriksson S, Sabbioni A, Viklund ÅG, Mikko S. Performance of Swedish Warmblood fragile foal syndrome carriers and breeding prospects. Genet Sel Evol 2022;54:4. [PMID: 35062868 DOI: 10.1186/s12711-021-00693-4] [Reference Citation Analysis]
7 Yang Y, Si J, Lv X, Dai D, Liu L, Tang S, Wang Y, Zhang S, Xiao W, Zhang Y. Integrated analysis of whole genome and transcriptome sequencing reveals a frameshift mutation associated with recessive embryonic lethality in Holstein cattle. Anim Genet 2021. [PMID: 34873723 DOI: 10.1111/age.13160] [Reference Citation Analysis]
8 Caivio-Nasner S, López-Herrera A, González-Herrera LG, Rincón JC. Frequency of genotypic markers for genetic disorders, colour, polledness, and major genes in Blanco Orejinegro cattle. Trop Anim Health Prod 2021;53:546. [PMID: 34779908 DOI: 10.1007/s11250-021-02990-y] [Reference Citation Analysis]
9 Halli K, Vanvanhossou SF, Bohlouli M, König S, Yin T. Identification of candidate genes on the basis of SNP by time-lagged heat stress interactions for milk production traits in German Holstein cattle. PLoS One 2021;16:e0258216. [PMID: 34648531 DOI: 10.1371/journal.pone.0258216] [Reference Citation Analysis]
10 Makanjuola BO, Maltecca C, Miglior F, Marras G, Abdalla EA, Schenkel FS, Baes CF. Identification of unique ROH regions with unfavorable effects on production and fertility traits in Canadian Holsteins. Genet Sel Evol 2021;53:68. [PMID: 34461820 DOI: 10.1186/s12711-021-00660-z] [Cited by in F6Publishing: 5] [Reference Citation Analysis]
11 Pacheco HA, Battagin M, Rossoni A, Cecchinato A, Peñagaricano F. Evaluation of bull fertility in Italian Brown Swiss dairy cattle using cow field data. J Dairy Sci 2021:S0022-0302(21)00758-X. [PMID: 34304869 DOI: 10.3168/jds.2021-20332] [Reference Citation Analysis]
12 Scheper C, Emmerling R, Götz KU, König S. A variance component estimation approach to infer associations between Mendelian polledness and quantitative production and female fertility traits in German Simmental cattle. Genet Sel Evol 2021;53:60. [PMID: 34261443 DOI: 10.1186/s12711-021-00652-z] [Reference Citation Analysis]
13 Khan MYA, Omar AI, He Y, Chen S, Zhang S, Xiao W, Zhang Y. Prevalence of nine genetic defects in Chinese Holstein cattle. Vet Med Sci 2021. [PMID: 33991412 DOI: 10.1002/vms3.525] [Reference Citation Analysis]
14 Ben Braiek M, Fabre S, Hozé C, Astruc JM, Moreno-Romieux C. Identification of homozygous haplotypes carrying putative recessive lethal mutations that compromise fertility traits in French Lacaune dairy sheep. Genet Sel Evol 2021;53:41. [PMID: 33932977 DOI: 10.1186/s12711-021-00634-1] [Cited by in F6Publishing: 3] [Reference Citation Analysis]
15 Kumar A, Gupta ID, Mohan G, M R V, D RK, S J, Kataria RS, Niranjan SK. Alternate PCR assays for screening of JH1 mutation associated with embryonic death in Jersey cattle. Mol Cell Probes 2021;55:101688. [PMID: 33279530 DOI: 10.1016/j.mcp.2020.101688] [Reference Citation Analysis]
16 Wang M, Do DN, Peignier C, Dudemaine P, Schenkel FS, Miglior F, Zhao X, Ibeagha-awemu EM, Plaizier J. Cholesterol deficiency haplotype frequency and its impact on milk production and milk cholesterol content in Canadian Holstein cows. Can J Anim Sci 2020;100:786-91. [DOI: 10.1139/cjas-2019-0068] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
17 Abdalla EA, Id-Lahoucine S, Cánovas A, Casellas J, Schenkel FS, Wood BJ, Baes CF. Discovering lethal alleles across the turkey genome using a transmission ratio distortion approach. Anim Genet 2020;51:876-89. [PMID: 33006154 DOI: 10.1111/age.13003] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
18 Gebreyesus G, Sahana G, Christian Sørensen A, Lund MS, Su G. Novel approach to incorporate information about recessive lethal genes increases the accuracy of genomic prediction for mortality traits. Heredity (Edinb) 2020;125:155-66. [PMID: 32533106 DOI: 10.1038/s41437-020-0329-5] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
19 Maltecca C, Tiezzi F, Cole JB, Baes C. Symposium review: Exploiting homozygosity in the era of genomics-Selection, inbreeding, and mating programs. J Dairy Sci 2020;103:5302-13. [PMID: 32331889 DOI: 10.3168/jds.2019-17846] [Cited by in Crossref: 15] [Cited by in F6Publishing: 11] [Article Influence: 7.5] [Reference Citation Analysis]
20 Kumar A, Gupta I, Mohan G, Vineeth M, Ravi kumar D, Jayakumar S, Niranjan S. Development of PCR based assays for detection of lethal Holstein haplotype 1, 3 and 4 in Holstein Friesian cattle. Molecular and Cellular Probes 2020;50:101503. [DOI: 10.1016/j.mcp.2019.101503] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.5] [Reference Citation Analysis]
21 Dechow CD, Liu WS, Specht LW, Blackburn H. Reconstitution and modernization of lost Holstein male lineages using samples from a gene bank. J Dairy Sci 2020;103:4510-6. [PMID: 32171516 DOI: 10.3168/jds.2019-17753] [Reference Citation Analysis]
22 Gershoni M, Ezra E, Weller JI. Genetic and genomic analysis of long insemination interval in Israeli dairy cattle as an indicator of early abortions. J Dairy Sci 2020;103:4495-509. [PMID: 32113774 DOI: 10.3168/jds.2019-17482] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
23 Oliveira Júnior GA, Santos DJA, Cesar ASM, Boison SA, Ventura RV, Perez BC, Garcia JF, Ferraz JBS, Garrick DJ. Fine mapping of genomic regions associated with female fertility in Nellore beef cattle based on sequence variants from segregating sires. J Anim Sci Biotechnol 2019;10:97. [PMID: 31890201 DOI: 10.1186/s40104-019-0403-0] [Cited by in F6Publishing: 3] [Reference Citation Analysis]
24 Zhang Y, Liang D, Huang H, Yang Z, Wang Y, Yu Y, Liu L, Zhang S, Han J, Xiao W. Technical note: Development and application of KASP assays for rapid screening of 8 genetic defects in Holstein cattle. J Dairy Sci 2020;103:619-24. [PMID: 31704007 DOI: 10.3168/jds.2019-16345] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
25 Gross JJ, Schwinn AC, Schmitz-Hsu F, Barenco A, Neuenschwander TF, Drögemüller C, Bruckmaier RM. The APOB loss-of-function mutation of Holstein dairy cattle does not cause a deficiency of cholesterol but decreases the capacity for cholesterol transport in circulation. J Dairy Sci 2019;102:10564-72. [PMID: 31477289 DOI: 10.3168/jds.2019-16852] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 1.3] [Reference Citation Analysis]
26 Abdollahi-Arpanahi R, Carvalho MR, Ribeiro ES, Peñagaricano F. Association of lipid-related genes implicated in conceptus elongation with female fertility traits in dairy cattle. J Dairy Sci 2019;102:10020-9. [PMID: 31477299 DOI: 10.3168/jds.2019-17068] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 2.0] [Reference Citation Analysis]
27 Upperman LR, Kinghorn BP, MacNeil MD, Van Eenennaam AL. Management of lethal recessive alleles in beef cattle through the use of mate selection software. Genet Sel Evol 2019;51:36. [PMID: 31382878 DOI: 10.1186/s12711-019-0477-3] [Cited by in Crossref: 5] [Cited by in F6Publishing: 9] [Article Influence: 1.7] [Reference Citation Analysis]
28 Mesbah-uddin M, Hoze C, Michot P, Barbat A, Lefebvre R, Boussaha M, Sahana G, Fritz S, Boichard D, Capitan A. A missense mutation (p.Tyr452Cys) in the CAD gene compromises reproductive success in French Normande cattle. Journal of Dairy Science 2019;102:6340-56. [DOI: 10.3168/jds.2018-16100] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 1.0] [Reference Citation Analysis]
29 Virgen-méndez A, Ayala-valdovinos MA, Galindo-garcía J, Sánchez-chiprés DR, Lemus-flores C, Duifhuis-rivera T. Carrier frequency of autosomal recessive disorders (BC, BLAD, FXID and CVM) in Holstein cows in Jalisco, Mexico. Pesq Vet Bras 2019;39:481-4. [DOI: 10.1590/1678-5150-pvb-6202] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
30 Cole JB, Null DJ. Short communication: Phenotypic and genetic effects of the polled haplotype on yield, longevity, and fertility in US Brown Swiss, Holstein, and Jersey cattle. J Dairy Sci 2019;102:8247-50. [PMID: 31255269 DOI: 10.3168/jds.2019-16530] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.7] [Reference Citation Analysis]
31 Li Y, Fang L, Liu L, Zhang S, Ma Z, Sun D, Plaizier J. The cholesterol-deficiency associated mutation in APOB segregates at low frequency in Chinese Holstein cattle. Can J Anim Sci 2019;99:332-5. [DOI: 10.1139/cjas-2017-0108] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
32 Johnsson M, Gaynor RC, Jenko J, Gorjanc G, de Koning DJ, Hickey JM. Removal of alleles by genome editing (RAGE) against deleterious load. Genet Sel Evol 2019;51:14. [PMID: 30995904 DOI: 10.1186/s12711-019-0456-8] [Cited by in Crossref: 19] [Cited by in F6Publishing: 22] [Article Influence: 6.3] [Reference Citation Analysis]
33 Jenko J, McClure MC, Matthews D, McClure J, Johnsson M, Gorjanc G, Hickey JM. Analysis of a large dataset reveals haplotypes carrying putatively recessive lethal and semi-lethal alleles with pleiotropic effects on economically important traits in beef cattle. Genet Sel Evol 2019;51:9. [PMID: 30836944 DOI: 10.1186/s12711-019-0452-z] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 3.0] [Reference Citation Analysis]
34 Baes CF, Makanjuola BO, Miglior F, Marras G, Howard JT, Fleming A, Maltecca C. Symposium review: The genomic architecture of inbreeding: How homozygosity affects health and performance. Journal of Dairy Science 2019;102:2807-17. [DOI: 10.3168/jds.2018-15520] [Cited by in Crossref: 16] [Cited by in F6Publishing: 14] [Article Influence: 5.3] [Reference Citation Analysis]
35 Liu M, Zhou Y, Rosen BD, Van Tassell CP, Stella A, Tosser-Klopp G, Rupp R, Palhière I, Colli L, Sayre B, Crepaldi P, Fang L, Mészáros G, Chen H, Liu GE; ADAPTmap Consortium. Diversity of copy number variation in the worldwide goat population. Heredity (Edinb) 2019;122:636-46. [PMID: 30401973 DOI: 10.1038/s41437-018-0150-6] [Cited by in Crossref: 23] [Cited by in F6Publishing: 27] [Article Influence: 5.8] [Reference Citation Analysis]
36 Zepeda-Batista JL, Parra-Bracamonte GM, Núñez-Domínguez R, Ramírez-Valverde R, Ruíz-Flores A. Screening genetic diseases prevalence in Braunvieh cattle. Trop Anim Health Prod 2019;51:25-31. [PMID: 30014197 DOI: 10.1007/s11250-018-1655-y] [Cited by in Crossref: 1] [Article Influence: 0.3] [Reference Citation Analysis]
37 Taylor JF, Schnabel RD, Sutovsky P. Review: Genomics of bull fertility. Animal 2018;12:s172-83. [PMID: 29618393 DOI: 10.1017/S1751731118000599] [Cited by in Crossref: 27] [Cited by in F6Publishing: 36] [Article Influence: 6.8] [Reference Citation Analysis]
38 Manfredi E, Tusell L, Vitezica ZG. Prediction of complex traits: Conciliating genetics and statistics. J Anim Breed Genet 2017;134:178-83. [PMID: 28508479 DOI: 10.1111/jbg.12269] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 0.6] [Reference Citation Analysis]
39 Mesbah-Uddin M, Guldbrandtsen B, Iso-Touru T, Vilkki J, De Koning DJ, Boichard D, Lund MS, Sahana G. Genome-wide mapping of large deletions and their population-genetic properties in dairy cattle. DNA Res 2018;25:49-59. [PMID: 28985340 DOI: 10.1093/dnares/dsx037] [Cited by in Crossref: 7] [Cited by in F6Publishing: 10] [Article Influence: 1.4] [Reference Citation Analysis]