Detection of Genomic Imprinting for Carcass Traits in Cattle Using Imputed High-Density Genotype Data

被引:3
|
作者
Kenny, David [1 ,2 ]
Sleator, Roy D. [2 ]
Murphy, Craig P. [2 ]
Evans, Ross D. [3 ]
Berry, Donagh P. [1 ]
机构
[1] Anim & Grassland Res & Innovat Ctr, Teagasc,Moorepk, Cork, Ireland
[2] Munster Technol Univ, Dept Biol Sci, Bishopstown Campus, Cork, Ireland
[3] Irish Cattle Breeding Federat, Highfield House, Bandon, Cork, Ireland
基金
爱尔兰科学基金会;
关键词
genomic imprinting; carcass traits; epigenetics; association analysis; non-additive; GENETIC-PARAMETERS; ASSOCIATION; GROWTH; DAIRY;
D O I
10.3389/fgene.2022.951087
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Genomic imprinting is an epigenetic phenomenon defined as the silencing of an allele, at least partially, at a given locus based on the sex of the transmitting parent. The objective of the present study was to detect the presence of SNP-phenotype imprinting associations for carcass weight (CW), carcass conformation (CC) and carcass fat (CF) in cattle. The data used comprised carcass data, along with imputed, high-density genotype data on 618,837 single nucleotide polymorphisms (SNPs) from 23,687 cattle; all animal genotypes were phased with respect to parent of origin. Based on the phased genotypes and a series of single-locus linear models, 24, 339, and 316 SNPs demonstrated imprinting associations with CW, CC, and CF, respectively. Regardless of the trait in question, no known imprinted gene was located within 0.5 Mb of the SNPs demonstrating imprinting associations in the present study. Since all imprinting associations detected herein were at novel loci, further investigation of these regions may be warranted. Nonetheless, knowledge of these associations might be useful for improving the accuracy of genomic evaluations for these traits, as well as mate allocations systems to exploit the effects of genomic imprinting.
引用
收藏
页数:12
相关论文
共 50 条
  • [41] Accuracy of genomic predictions for feed efficiency traits of beef cattle using 50K and imputed HD genotypes
    Lu, D.
    Akanno, E. C.
    Crowley, J. J.
    Schenkel, F.
    Li, H.
    De Pauw, M.
    Moore, S. S.
    Wang, Z.
    Li, C.
    Stothard, P.
    Plastow, G.
    Miller, S. P.
    Basarab, J. A.
    JOURNAL OF ANIMAL SCIENCE, 2016, 94 (04) : 1342 - 1353
  • [42] Linked region detection using high-density SNP genotype data via the minimum recombinant model of pedigree haplotype inference
    Wang, Lusheng
    Wang, Zhanyong
    Yang, Wanling
    BMC BIOINFORMATICS, 2009, 10
  • [43] Linked region detection using high-density SNP genotype data via the minimum recombinant model of pedigree haplotype inference
    Lusheng Wang
    Zhanyong Wang
    Wanling Yang
    BMC Bioinformatics, 10
  • [44] Characterization of copy number variants in a large multibreed population of beef and dairy cattle using high-density single nucleotide polymorphism genotype data
    Rafter, Pierce
    Purfield, Deirdre C.
    Berry, Donagh P.
    Parnell, Andrew C.
    Gormley, I. Claire
    Kearney, J. Francis
    Coffey, Mike P.
    Carthy, Tara R.
    JOURNAL OF ANIMAL SCIENCE, 2018, 96 (10) : 4112 - 4124
  • [45] Detection of genomic loci associated with chromosomal recombination using high-density linkage mapping in Setaria
    Guanqing Jia
    Haigang Wang
    Sha Tang
    Hui Zhi
    Sichen Liu
    Qifen Wen
    Zhijun Qiao
    Xianmin Diao
    Scientific Reports, 7
  • [46] Genome-enable prediction for health traits using high-density SNP panel in US Holstein cattle
    Lopes, F.
    Rosa, G.
    Pinedo, P.
    Santos, J. E. P.
    Chebel, R. C.
    Galvao, K. N.
    Schuenemann, G. M.
    Bicalho, R. C.
    Gilbertt, R. O.
    Rodrigez-Zas, S.
    Seabury, C. M.
    Thatcher, W.
    ANIMAL GENETICS, 2020, 51 (02) : 192 - 199
  • [47] Detection of genomic loci associated with chromosomal recombination using high-density linkage mapping in Setaria
    Jia, Guanqing
    Wang, Haigang
    Tang, Sha
    Zhi, Hui
    Liu, Sichen
    Wen, Qifen
    Qiao, Zhijun
    Diao, Xianmin
    SCIENTIFIC REPORTS, 2017, 7
  • [48] Genomic differentiation between swamp and river buffalo using a cattle high-density single nucleotide polymorphisms panel
    Perez-Pardal, L.
    Chen, S.
    Costa, V.
    Liu, X.
    Carvalheira, J.
    Beja-Pereira, A.
    ANIMAL, 2018, 12 (03) : 464 - 471
  • [49] Assessing Genomic Diversity and Signatures of Selection in Chinese Red Steppe Cattle Using High-Density SNP Array
    Hu, Mingyue
    Jiang, Hao
    Lai, Weining
    Shi, Lulu
    Yi, Wenfeng
    Sun, Hao
    Chen, Chengzhen
    Yuan, Bao
    Yan, Shouqing
    Zhang, Jiabao
    ANIMALS, 2023, 13 (10):
  • [50] Improving accuracy of genomic predictions within and between dairy cattle breeds with imputed high-density single nucleotide polymorphism panels (vol 95, pg 4114, 2012)
    Erbe, M.
    Hayes, B. J.
    Matukumalli, L. K.
    Goswami, S.
    Bowman, P. J.
    Reich, C. M.
    Mason, B. A.
    Goddard, M. E.
    JOURNAL OF DAIRY SCIENCE, 2014, 97 (10) : 6622 - 6622