Literature DB >> 36173533

Replacement of microsatellite markers by imputed medium-density SNP arrays for parentage control in German warmblood horses.

Wietje Nolte1,2, Hatem Alkhoder3, Mirell Wobbe3,4, Kathrin F Stock3,4, Ernst Kalm5, Sarah Vosgerau5, Nina Krattenmacher5, Georg Thaller5, Jens Tetens6, Christa Kühn7,8.   

Abstract

In horses, parentage control is currently performed based on an internationally standardized panel of 17 microsatellite (MS) markers comprising 12 mandatory and five optional markers. Unlike MS, single nucleotide polymorphism (SNP) profiles support a wider portfolio of genomic applications, including parentage control. A transition to SNP-based parentage control is favorable, but requires additional efforts for ensuring generation-overlapping availability of marker genotypes of the same type. To avoid double genotyping of either parents or offspring for changing to SNP technology and enable efficient transition, we tested whether MS genotypes used for parentage control could be reliably imputed from a medium-density SNP panel in German warmblood horses. Imputation accuracy was tested in a tenfold cross-validation with two approaches: within breed (option A) and across breeds (option B). Average imputation accuracies of 97.98% (A) and 96.17% (B) were achieved, respectively. Due to interbreed differences in genotyping rates, five MS markers of low genotyping rate (GTR; < 90%) could be imputed with higher accuracy within breed (98.18%) than across breeds (90.73%). MS markers with high GTR performed homogeneously well in option B (98.44%) and showed slightly lower accuracy in option A (97.90%). Among these markers, AHT5 proved to be problematic for imputation regardless of the approach, revealing accuracies of 86.40% (A) and 88.70% (B). Better results for MS markers with high GTR and savings in computational processing justified the choice of option B for routine implementation. To date, more than 9500 horses have undergone the new parentage control based on imputed MS genotypes.
© 2022. The Author(s).

Entities:  

Keywords:  Equine parentage testing; Horse breeding; Imputation; Microsatellite; Single nucleotide polymorphism

Year:  2022        PMID: 36173533     DOI: 10.1007/s13353-022-00725-9

Source DB:  PubMed          Journal:  J Appl Genet        ISSN: 1234-1983            Impact factor:   2.653


  15 in total

1.  Validation of microsatellite markers for routine horse parentage testing.

Authors:  A T Bowling; M L Eggleston-Stott; G Byrns; R S Clark; S Dileanis; E Wictum
Journal:  Anim Genet       Date:  1997-08       Impact factor: 3.169

2.  Resolving microsatellite genotype ambiguity in populations of allopolyploid and diploidized autopolyploid organisms using negative correlations between allelic variables.

Authors:  Lindsay V Clark; Andrea Drauch Schreier
Journal:  Mol Ecol Resour       Date:  2017-01-05       Impact factor: 7.090

3.  A One-Penny Imputed Genome from Next-Generation Reference Panels.

Authors:  Brian L Browning; Ying Zhou; Sharon R Browning
Journal:  Am J Hum Genet       Date:  2018-08-09       Impact factor: 11.025

4.  Integration of genomic information into sport horse breeding programs for optimization of accuracy of selection.

Authors:  A M Haberland; U König von Borstel; H Simianer; S König
Journal:  Animal       Date:  2012-09       Impact factor: 3.240

5.  Single nucleotide polymorphisms for DNA typing in the domestic horse.

Authors:  H M Holl; J Vanhnasy; R E Everts; K Hoefs-Martin; D Cook; S A Brooks; M L Carpenter; C D Bustamante; C Lafayette
Journal:  Anim Genet       Date:  2017-09-13       Impact factor: 3.169

Review 6.  Construction of a genetic linkage map in man using restriction fragment length polymorphisms.

Authors:  D Botstein; R L White; M Skolnick; R W Davis
Journal:  Am J Hum Genet       Date:  1980-05       Impact factor: 11.025

7.  Linkage disequilibrium and historical effective population size in the Thoroughbred horse.

Authors:  L J Corbin; S C Blott; J E Swinburne; M Vaudin; S C Bishop; J A Woolliams
Journal:  Anim Genet       Date:  2010-12       Impact factor: 3.169

8.  The variant call format and VCFtools.

Authors:  Petr Danecek; Adam Auton; Goncalo Abecasis; Cornelis A Albers; Eric Banks; Mark A DePristo; Robert E Handsaker; Gerton Lunter; Gabor T Marth; Stephen T Sherry; Gilean McVean; Richard Durbin
Journal:  Bioinformatics       Date:  2011-06-07       Impact factor: 6.937

9.  Imputation of microsatellite alleles from dense SNP genotypes for parental verification.

Authors:  Matthew McClure; Tad Sonstegard; George Wiggans; Curtis P Van Tassell
Journal:  Front Genet       Date:  2012-08-14       Impact factor: 4.599

10.  Imputation of microsatellite alleles from dense SNP genotypes for parentage verification across multiple Bos taurus and Bos indicus breeds.

Authors:  Matthew C McClure; Tad S Sonstegard; George R Wiggans; Alison L Van Eenennaam; Kristina L Weber; Cecilia T Penedo; Donagh P Berry; John Flynn; Jose F Garcia; Adriana S Carmo; Luciana C A Regitano; Milla Albuquerque; Marcos V G B Silva; Marco A Machado; Mike Coffey; Kirsty Moore; Marie-Yvonne Boscher; Lucie Genestout; Raffaele Mazza; Jeremy F Taylor; Robert D Schnabel; Barry Simpson; Elisa Marques; John C McEwan; Andrew Cromie; Luiz L Coutinho; Larry A Kuehn; John W Keele; Emily K Piper; Jim Cook; Robert Williams; Curtis P Van Tassell
Journal:  Front Genet       Date:  2013-09-18       Impact factor: 4.599

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.