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The use of runs of homozygosity for estimation of recent inbreeding in Holstein cattle

Overview of attention for article published in Journal of Applied Genetics, January 2016
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Title
The use of runs of homozygosity for estimation of recent inbreeding in Holstein cattle
Published in
Journal of Applied Genetics, January 2016
DOI 10.1007/s13353-016-0337-6
Pubmed ID
Authors

A. Gurgul, T. Szmatoła, P. Topolski, I. Jasielczuk, K. Żukowski, M. Bugno-Poniewierska

Abstract

Controlling inbreeding in livestock populations is of great importance because excess relatedness among animals leads to a rapid loss of genetic variation and to adverse phenotypical effects associated with an inbreeding depression. Recent advances in genotyping technology have made it possible to study inbreeding at a molecular level by the analysis of genome-wide single nucleotide polymorphism panels. In this study, we used BovineSNP50 assay (Illumina) to estimate genomic inbreeding coefficient in 298 Holstein cattle by the analysis of the genome portion in runs of homozygosity (FROH) or using genomic relationship matrix (FGRM), and compared this data with conventional pedigree-based inbreeding coefficients (FPED). Weak or moderate Spearman's rank correlations were observed between FROH and FPED which depended on the ROH length categories used for calculations and inclusion of animals with different number of complete generations registered in pedigrees. The highest correlations were observed when using ROH with lengths over 8 Mb (0.334). The correlations tended to increase as pedigree depth increased, and were the highest for animals with seven complete generations of pedigree data. FGRM correlated poorly with pedigree-based estimates, which suggests that ROH-based inbreeding coefficients better reflect recent relatedness among animals.

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Mendeley readers

The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 71 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 21%
Student > Ph. D. Student 13 18%
Other 6 8%
Student > Doctoral Student 4 6%
Student > Bachelor 4 6%
Other 13 18%
Unknown 16 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 46%
Veterinary Science and Veterinary Medicine 9 13%
Biochemistry, Genetics and Molecular Biology 6 8%
Business, Management and Accounting 1 1%
Unspecified 1 1%
Other 0 0%
Unknown 21 30%