Literature DB >> 30980405

Validation of SNP associations with bovine ovulation and twinning rate.

B W Kirkpatrick1,2, R M Thallman3, L A Kuehn3.   

Abstract

Previous work identified SNP associations with twinning rate in the US Holstein population and developed a model for genomic prediction. The current study was conducted to assess the association of these SNPs with twinning rate and ovulation rate in a genetically diverse, outbred population selected for twinning and ovulation rate. A total of 18 SNPs that were components of a prediction equation for twinning rate in Holstein cattle were genotyped on 731 animals from the USDA Meat Animal Research Center production efficiency or twinning population. These 731 individuals were sires and dams well represented in the pedigrees of animals from the twinner population, and their genotypes were used in predicting genotypes for animals in the larger population (n = 16 035). Twinning rate and ovulation rate were analyzed in a two-trait repeated records analysis with marker associations analyzed individually as fixed effects. Criteria for marker validation were effect estimate with a sign consistent with previous estimates and significance at a nominal P < 0.01. Of the 14 SNPs passing quality control assessments, only one was validated. A SNP in the 5' flanking region of the IGF1 gene, discovered previously in a positional candidate gene analysis, was significantly associated with twinning rate in the USDA twinning population (P < 0.0002). This SNP may have utility in genomic prediction of twinning rate beyond the Holstein population.
© 2019 Stichting International Foundation for Animal Genetics.

Entities:  

Keywords:  cattle; cow; ovulation; twin

Mesh:

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Year:  2019        PMID: 30980405     DOI: 10.1111/age.12793

Source DB:  PubMed          Journal:  Anim Genet        ISSN: 0268-9146            Impact factor:   3.169


  1 in total

1.  A major QTL at the LHCGR/FSHR locus for multiple birth in Holstein cattle.

Authors:  Sarah Widmer; Franz R Seefried; Peter von Rohr; Irene M Häfliger; Mirjam Spengeler; Cord Drögemüller
Journal:  Genet Sel Evol       Date:  2021-07-03       Impact factor: 4.297

  1 in total

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