Analyze Diet
Equine veterinary journal2014; 46(5); 538-544; doi: 10.1111/evj.12294

Applied equine genetics.

Abstract: Genome sequencing of the domestic horse and subsequent advancements in the field of equine genomics have led to an explosion in the development of tools for mapping traits and diseases and evaluating gene expression. The objective of this review is to discuss the current progress in the field of equine genomics, with specific emphasis on assembly and analysis of the reference sequence and subsequent sequencing of a Quarter Horse mare; the genomic tools currently available to researchers and their implications in genomic investigations in the horse; the genomics of Mendelian and non-Mendelian traits; the genomics of performance traits and considerations regarding genetic testing in the horse. The whole-genome sequencing of a Quarter Horse mare has provided additional variants within the equine genome that extend past single nucleotide polymorphisms to include insertions/deletions and copy number variants. Equine single nucleotide polymorphism arrays have allowed for the investigation of both simple and complex genetic traits while DNA microarrays have provided a tool for examining gene expression across various tissues and with certain disease conditions. Recently, next-generation sequencing has become more affordable and both whole-genome DNA sequencing and transcriptome-wide RNA sequencing are methodologies that are being applied to equine genomic research. Research in the field of equine genomics continues to expand rapidly as the cost of genotyping and sequencing decreases, resulting in a need for quality bioinformatics software and expertise to appropriately handle both the size and complexity of these data.
Publication Date: 2014-06-25 PubMed ID: 24802051PubMed Central: PMC4327934DOI: 10.1111/evj.12294Google Scholar: Lookup
The Equine Research Bank provides access to a large database of publicly available scientific literature. Inclusion in the Research Bank does not imply endorsement of study methods or findings by Mad Barn.
  • Journal Article
  • Research Support
  • N.I.H.
  • Extramural
  • Research Support
  • Non-U.S. Gov't
  • Review

Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

This research paper discusses the significant advances made in the field of equine genomics – the study of horse genes – with a particular focus on the sequencing and analysis of a Quarter Horse mare’s genome, and the tools, techniques and implications related to this study.

Overview of the Equine Genomics Field

  • With genome sequencing of the domestic horse and subsequent development in equine genetics, researchers have been able to map traits and diseases, and evaluate gene expression to help understand disease mechanisms and improve horse health and performance.

Sequencing and Analysis of the Quarter Horse Mare

  • Genome sequencing of a Quarter Horse mare was a significant part of this study. This process involves decoding the horse’s complete set of DNA and can provide crucial genetic information.
  • This sequencing provided additional variants in the equine genome, including insertions/deletions and copy number variants. This helps researchers to comprehend the full range of genetic diversity in horses and connect specific genetic variations with observed traits or diseases.

Current Tools and Methodologies

  • The paper highlights the use of single nucleotide polymorphism arrays in equine genetics. These tools have been used to investigate both simple and complex genetic traits in horses.
  • The use of DNA microarrays was also noted as an essential method for studying gene expression across various horse tissues and identifying changes linked to certain diseases.
  • The authors also mention the recent affordability of next-generation sequencing. Both whole-genome DNA sequencing and transcriptome-wide RNA sequencing have become valuable tools in equine genetics research, providing more extensive and detailed information on horse genes.

The Genomics of Traits and Genetic Testing Considerations

  • The research review discusses the application of genomics to understand both Mendelian traits (inherited from a single gene) and non-Mendelian traits (inherited from multiple genes).
  • It further emphasizes the role of genomics in performance traits in horses, highlighting the potential usefulness of genetic information in horse breeding and management.
  • The paper raised important considerations regarding genetic testing in horses, implying a careful approach is required, considering the complex nature of the genomic data.

The Need for Advanced Bioinformatics

  • The paper reports a growing need for quality bioinformatics software and expertise as the cost of genotyping and sequencing decreases, resulting in large and complex data to handle.
  • The authors acknowledge that the research in the field of equine genomics is quickly expanding due to more affordable DNA sequencing, leading to an increasing need for tools capable of effectively managing and interpreting the data.

Cite This Article

APA
Finno CJ, Bannasch DL. (2014). Applied equine genetics. Equine Vet J, 46(5), 538-544. https://doi.org/10.1111/evj.12294

Publication

ISSN: 2042-3306
NlmUniqueID: 0173320
Country: United States
Language: English
Volume: 46
Issue: 5
Pages: 538-544

Researcher Affiliations

Finno, C J
  • Department of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, St. Paul, USA.
Bannasch, D L

    MeSH Terms

    • Animals
    • Genetic Predisposition to Disease
    • Genome
    • Genomics / methods
    • Horse Diseases / genetics
    • Horses / genetics

    Grant Funding

    • K01 OD015134 / NIH HHS
    • 1K01OD015134-01A1 / NIH HHS

    References

    This article includes 68 references
    1. Brosnahan MM, Brooks SA, Antczak DF. Equine clinical genomics: A clinician's primer.. Equine Vet J 2010 Oct;42(7):658-70.
    2. Chowdhary BP, editor. Equine Genomics. Wiley-Blackwell; Ames: 2013.
    3. Bailey E, Brooks SA, editors. Horse Genetics 2nd. CABI; Oxford: 2013.
    4. Caetano AR, Shiue YL, Lyons LA, O'Brien SJ, Laughlin TF, Bowling AT, Murray JD. A comparative gene map of the horse (Equus caballus).. Genome Res 1999 Dec;9(12):1239-49.
      pmc: PMC311003pubmed: 10613847doi: 10.1101/gr.9.12.1239google scholar: lookup
    5. Shiue YL, Bickel LA, Caetano AR, Millon LV, Clark RS, Eggleston ML, Michelmore R, Bailey E, Guérin G, Godard S, Mickelson JR, Valberg SJ, Murray JD, Bowling AT. A synteny map of the horse genome comprised of 240 microsatellite and RAPD markers.. Anim Genet 1999 Feb;30(1):1-9.
    6. Lindgren G, Sandberg K, Persson H, Marklund S, Breen M, Sandgren B, Carlstén J, Ellegren H. A primary male autosomal linkage map of the horse genome.. Genome Res 1998 Sep;8(9):951-66.
      pmc: PMC310772pubmed: 9750194doi: 10.1101/gr.8.9.951google scholar: lookup
    7. Guérin G, Bailey E, Bernoco D, Anderson I, Antczak DF, Bell K, Binns MM, Bowling AT, Brandon R, Cholewinski G, Cothran EG, Ellegren H, Förster M, Godard S, Horin P, Ketchum M, Lindgren G, McPartlan H, Mériaux JC, Mickelson JR, Millon LV, Murray J, Neau A, Røed K, Ziegle J. Report of the International Equine Gene Mapping Workshop: male linkage map.. Anim Genet 1999 Oct;30(5):341-54.
    8. Guérin G, Bailey E, Bernoco D, Anderson I, Antczak DF, Bell K, Biros I, Bjørnstad G, Bowling AT, Brandon R, Caetano AR, Cholewinski G, Colling D, Eggleston M, Ellis N, Flynn J, Gralak B, Hasegawa T, Ketchum M, Lindgren G, Lyons LA, Millon LV, Mariat D, Murray J, Neau A, Røed K, Sandberg K, Skow LC, Tammen I, Tozaki T, Van Dyk E, Weiss B, Young A, Ziegle J. The second generation of the International Equine Gene Mapping Workshop half-sibling linkage map.. Anim Genet 2003 Jun;34(3):161-8.
    9. Swinburne J, Gerstenberg C, Breen M, Aldridge V, Lockhart L, Marti E, Antczak D, Eggleston-Stott M, Bailey E, Mickelson J, Røed K, Lindgren G, von Haeringen W, Guérin G, Bjarnason J, Allen T, Binns M. First comprehensive low-density horse linkage map based on two 3-generation, full-sibling, cross-bred horse reference families.. Genomics 2000 Jun 1;66(2):123-34.
      pubmed: 10860657doi: 10.1006/geno.2000.6207google scholar: lookup
    10. Raudsepp T, Kijas J, Godard S, Guérin G, Andersson L, Chowdhary BP. Comparison of horse chromosome 3 with donkey and human chromosomes by cross-species painting and heterologous FISH mapping.. Mamm Genome 1999 Mar;10(3):277-82.
      pubmed: 10051324doi: 10.1007/s003359900986google scholar: lookup
    11. Godard S, Vaiman A, Schibler L, Mariat D, Vaiman D, Cribiu EP, Guérin G. Cytogenetic localization of 44 new coding sequences in the horse.. Mamm Genome 2000 Dec;11(12):1093-7.
      pubmed: 11130977doi: 10.1007/s003350010206google scholar: lookup
    12. Lear TL, Brandon R, Piumi F, Terry RR, Guérin G, Thomas S, Bailey E. Mapping of 31 horse genes in BACs by FISH.. Chromosome Res 2001;9(3):261-2.
      pubmed: 11330401doi: 10.1023/a:1016608806205google scholar: lookup
    13. Mariat D, Oustry-Vaiman A, Cribiu EP, Raudsepp T, Chowdhary BP, Guérin G. Isolation, characterization and FISH assignments of horse BAC clones containing type I and II markers.. Cytogenet Cell Genet 2001;92(1-2):144-8.
      pubmed: 11306814doi: 10.1159/000056886google scholar: lookup
    14. Milenkovic D, Oustry-Vaiman A, Lear TL, Billault A, Mariat D, Piumi F, Schibler L, Cribiu E, Guérin G. Cytogenetic localization of 136 genes in the horse: comparative mapping with the human genome.. Mamm Genome 2002 Sep;13(9):524-34.
      pubmed: 12370783doi: 10.1007/s00335-001-2137-4google scholar: lookup
    15. Chowdhary BP, Raudsepp T, Kata SR, Goh G, Millon LV, Allan V, Piumi F, Guérin G, Swinburne J, Binns M, Lear TL, Mickelson J, Murray J, Antczak DF, Womack JE, Skow LC. The first-generation whole-genome radiation hybrid map in the horse identifies conserved segments in human and mouse genomes.. Genome Res 2003 Apr;13(4):742-51.
      pmc: PMC430160pubmed: 12671008doi: 10.1101/gr.917503google scholar: lookup
    16. Raudsepp T, Gustafson-Seabury A, Durkin K, Wagner ML, Goh G, Seabury CM, Brinkmeyer-Langford C, Lee EJ, Agarwala R, Stallknecht-Rice E, Schäffer AA, Skow LC, Tozaki T, Yasue H, Penedo MC, Lyons LA, Khazanehdari KA, Binns MM, MacLeod JN, Distl O, Guérin G, Leeb T, Mickelson JR, Chowdhary BP. A 4,103 marker integrated physical and comparative map of the horse genome.. Cytogenet Genome Res 2008;122(1):28-36.
      pmc: PMC2587302pubmed: 18931483doi: 10.1159/000151313google scholar: lookup
    17. Wade CM, Giulotto E, Sigurdsson S, Zoli M, Gnerre S, Imsland F, Lear TL, Adelson DL, Bailey E, Bellone RR, Blöcker H, Distl O, Edgar RC, Garber M, Leeb T, Mauceli E, MacLeod JN, Penedo MC, Raison JM, Sharpe T, Vogel J, Andersson L, Antczak DF, Biagi T, Binns MM, Chowdhary BP, Coleman SJ, Della Valle G, Fryc S, Guérin G, Hasegawa T, Hill EW, Jurka J, Kiialainen A, Lindgren G, Liu J, Magnani E, Mickelson JR, Murray J, Nergadze SG, Onofrio R, Pedroni S, Piras MF, Raudsepp T, Rocchi M, Røed KH, Ryder OA, Searle S, Skow L, Swinburne JE, Syvänen AC, Tozaki T, Valberg SJ, Vaudin M, White JR, Zody MC, Lander ES, Lindblad-Toh K. Genome sequence, comparative analysis, and population genetics of the domestic horse.. Science 2009 Nov 6;326(5954):865-7.
      pmc: PMC3785132pubmed: 19892987doi: 10.1126/science.1178158google scholar: lookup
    18. Leeb T, Vogl C, Zhu B, de Jong PJ, Binns MM, Chowdhary BP, Scharfe M, Jarek M, Nordsiek G, Schrader F, Blöcker H. A human-horse comparative map based on equine BAC end sequences.. Genomics 2006 Jun;87(6):772-6.
      pubmed: 16603334doi: 10.1016/j.ygeno.2006.03.002google scholar: lookup
    19. Penedo MC, Millon LV, Bernoco D, Bailey E, Binns M, Cholewinski G, Ellis N, Flynn J, Gralak B, Guthrie A, Hasegawa T, Lindgren G, Lyons LA, Røed KH, Swinburne JE, Tozaki T. International Equine Gene Mapping Workshop Report: a comprehensive linkage map constructed with data from new markers and by merging four mapping resources.. Cytogenet Genome Res 2005;111(1):5-15.
      pubmed: 16093715doi: 10.1159/000085664google scholar: lookup
    20. Swinburne JE, Boursnell M, Hill G, Pettitt L, Allen T, Chowdhary B, Hasegawa T, Kurosawa M, Leeb T, Mashima S, Mickelson JR, Raudsepp T, Tozaki T, Binns M. Single linkage group per chromosome genetic linkage map for the horse, based on two three-generation, full-sibling, crossbred horse reference families.. Genomics 2006 Jan;87(1):1-29.
      pubmed: 16314071doi: 10.1016/j.ygeno.2005.09.001google scholar: lookup
    21. Doan R, Cohen ND, Sawyer J, Ghaffari N, Johnson CD, Dindot SV. Whole-genome sequencing and genetic variant analysis of a Quarter Horse mare.. BMC Genomics 2012 Feb 17;13:78.
      pmc: PMC3309927pubmed: 22340285doi: 10.1186/1471-2164-13-78google scholar: lookup
    22. Orlando L, Ginolhac A, Zhang G, Froese D, Albrechtsen A, Stiller M, Schubert M, Cappellini E, Petersen B, Moltke I, Johnson PL, Fumagalli M, Vilstrup JT, Raghavan M, Korneliussen T, Malaspinas AS, Vogt J, Szklarczyk D, Kelstrup CD, Vinther J, Dolocan A, Stenderup J, Velazquez AM, Cahill J, Rasmussen M, Wang X, Min J, Zazula GD, Seguin-Orlando A, Mortensen C, Magnussen K, Thompson JF, Weinstock J, Gregersen K, Røed KH, Eisenmann V, Rubin CJ, Miller DC, Antczak DF, Bertelsen MF, Brunak S, Al-Rasheid KA, Ryder O, Andersson L, Mundy J, Krogh A, Gilbert MT, Kjær K, Sicheritz-Ponten T, Jensen LJ, Olsen JV, Hofreiter M, Nielsen R, Shapiro B, Wang J, Willerslev E. Recalibrating Equus evolution using the genome sequence of an early Middle Pleistocene horse.. Nature 2013 Jul 4;499(7456):74-8.
      pubmed: 23803765doi: 10.1038/nature12323google scholar: lookup
    23. Orlando L, Male D, Alberdi MT, Prado JL, Prieto A, Cooper A, Hänni C. Ancient DNA clarifies the evolutionary history of American Late Pleistocene equids.. J Mol Evol 2008 May;66(5):533-8.
      pubmed: 18398561doi: 10.1007/s00239-008-9100-xgoogle scholar: lookup
    24. Orlando L, Metcalf JL, Alberdi MT, Telles-Antunes M, Bonjean D, Otte M, Martin F, Eisenmann V, Mashkour M, Morello F, Prado JL, Salas-Gismondi R, Shockey BJ, Wrinn PJ, Vasil'ev SK, Ovodov ND, Cherry MI, Hopwood B, Male D, Austin JJ, Hänni C, Cooper A. Revising the recent evolutionary history of equids using ancient DNA.. Proc Natl Acad Sci U S A 2009 Dec 22;106(51):21754-9.
      pmc: PMC2799835pubmed: 20007379doi: 10.1073/pnas.0903672106google scholar: lookup
    25. Orlando L, Ginolhac A, Raghavan M, Vilstrup J, Rasmussen M, Magnussen K, Steinmann KE, Kapranov P, Thompson JF, Zazula G, Froese D, Moltke I, Shapiro B, Hofreiter M, Al-Rasheid KA, Gilbert MT, Willerslev E. True single-molecule DNA sequencing of a pleistocene horse bone.. Genome Res 2011 Oct;21(10):1705-19.
      pmc: PMC3202287pubmed: 21803858doi: 10.1101/gr.122747.111google scholar: lookup
    26. McCue ME, Bannasch DL, Petersen JL, Gurr J, Bailey E, Binns MM, Distl O, Guérin G, Hasegawa T, Hill EW, Leeb T, Lindgren G, Penedo MC, Røed KH, Ryder OA, Swinburne JE, Tozaki T, Valberg SJ, Vaudin M, Lindblad-Toh K, Wade CM, Mickelson JR. A high density SNP array for the domestic horse and extant Perissodactyla: utility for association mapping, genetic diversity, and phylogeny studies.. PLoS Genet 2012 Jan;8(1):e1002451.
    27. Petersen JL, Mickelson JR, Rendahl AK, Valberg SJ, Andersson LS, Axelsson J, Bailey E, Bannasch D, Binns MM, Borges AS, Brama P, da Câmara Machado A, Capomaccio S, Cappelli K, Cothran EG, Distl O, Fox-Clipsham L, Graves KT, Guérin G, Haase B, Hasegawa T, Hemmann K, Hill EW, Leeb T, Lindgren G, Lohi H, Lopes MS, McGivney BA, Mikko S, Orr N, Penedo MC, Piercy RJ, Raekallio M, Rieder S, Røed KH, Swinburne J, Tozaki T, Vaudin M, Wade CM, McCue ME. Genome-wide analysis reveals selection for important traits in domestic horse breeds.. PLoS Genet 2013;9(1):e1003211.
    28. Coleman SJ, Zeng Z, Wang K, Luo S, Khrebtukova I, Mienaltowski MJ, Schroth GP, Liu J, MacLeod JN. Structural annotation of equine protein-coding genes determined by mRNA sequencing.. Anim Genet 2010 Dec;41 Suppl 2:121-30.
    29. Brooks SA, Gabreski N, Miller D, Brisbin A, Brown HE, Streeter C, Mezey J, Cook D, Antczak DF. Whole-genome SNP association in the horse: identification of a deletion in myosin Va responsible for Lavender Foal Syndrome.. PLoS Genet 2010 Apr 15;6(4):e1000909.
    30. Fox-Clipsham LY, Carter SD, Goodhead I, Hall N, Knottenbelt DC, May PD, Ollier WE, Swinburne JE. Identification of a mutation associated with fatal Foal Immunodeficiency Syndrome in the Fell and Dales pony.. PLoS Genet 2011 Jul;7(7):e1002133.
    31. Andersson LS, Larhammar M, Memic F, Wootz H, Schwochow D, Rubin CJ, Patra K, Arnason T, Wellbring L, Hjälm G, Imsland F, Petersen JL, McCue ME, Mickelson JR, Cothran G, Ahituv N, Roepstorff L, Mikko S, Vallstedt A, Lindgren G, Andersson L, Kullander K. Mutations in DMRT3 affect locomotion in horses and spinal circuit function in mice.. Nature 2012 Aug 30;488(7413):642-6.
      pmc: PMC3523687pubmed: 22932389doi: 10.1038/nature11399google scholar: lookup
    32. Corbin LJ, Blott SC, Swinburne JE, Sibbons C, Fox-Clipsham LY, Helwegen M, Parkin TD, Newton JR, Bramlage LR, McIlwraith CW, Bishop SC, Woolliams JA, Vaudin M. A genome-wide association study of osteochondritis dissecans in the Thoroughbred.. Mamm Genome 2012 Apr;23(3-4):294-303.
      pubmed: 22052004doi: 10.1007/s00335-011-9363-1google scholar: lookup
    33. Dupuis MC, Zhang Z, Druet T, Denoix JM, Charlier C, Lekeux P, Georges M. Results of a haplotype-based GWAS for recurrent laryngeal neuropathy in the horse.. Mamm Genome 2011 Oct;22(9-10):613-20.
      pubmed: 21698472doi: 10.1007/s00335-011-9337-3google scholar: lookup
    34. Makvandi-Nejad S, Hoffman GE, Allen JJ, Chu E, Gu E, Chandler AM, Loredo AI, Bellone RR, Mezey JG, Brooks SA, Sutter NB. Four loci explain 83% of size variation in the horse.. PLoS One 2012;7(7):e39929.
    35. Metzger J, Ohnesorge B, Distl O. Genome-wide linkage and association analysis identifies major gene loci for guttural pouch tympany in Arabian and German warmblood horses.. PLoS One 2012;7(7):e41640.
    36. Kulbrock M, Lehner S, Metzger J, Ohnesorge B, Distl O. A genome-wide association study identifies risk loci to equine recurrent uveitis in German warmblood horses.. PLoS One 2013;8(8):e71619.
    37. Schurink A, Wolc A, Ducro BJ, Frankena K, Garrick DJ, Dekkers JC, van Arendonk JA. Genome-wide association study of insect bite hypersensitivity in two horse populations in the Netherlands.. Genet Sel Evol 2012 Oct 30;44(1):31.
      pmc: PMC3524047pubmed: 23110538doi: 10.1186/1297-9686-44-31google scholar: lookup
    38. Nagaraj SH, Gasser RB, Ranganathan S. A hitchhiker's guide to expressed sequence tag (EST) analysis.. Brief Bioinform 2007 Jan;8(1):6-21.
      pubmed: 16772268doi: 10.1093/bib/bbl015google scholar: lookup
    39. Velculescu VE, Zhang L, Vogelstein B, Kinzler KW. Serial analysis of gene expression.. Science 1995 Oct 20;270(5235):484-7.
      pubmed: 7570003doi: 10.1126/science.270.5235.484google scholar: lookup
    40. Schena M, Shalon D, Davis RW, Brown PO. Quantitative monitoring of gene expression patterns with a complementary DNA microarray.. Science 1995 Oct 20;270(5235):467-70.
      pubmed: 7569999doi: 10.1126/science.270.5235.467google scholar: lookup
    41. Murphy D. Gene expression studies using microarrays: principles, problems, and prospects.. Adv Physiol Educ 2002 Dec;26(1-4):256-70.
      pubmed: 12443997doi: 10.1152/advan.00043.2002google scholar: lookup
    42. Noschka E, Vandenplas ML, Hurley DJ, Moore JN. Temporal aspects of laminar gene expression during the developmental stages of equine laminitis.. Vet Immunol Immunopathol 2009 Jun 15;129(3-4):242-53.
      pubmed: 19128842doi: 10.1016/j.vetimm.2008.11.002google scholar: lookup
    43. Mienaltowski MJ, Huang L, Frisbie DD, McIlwraith CW, Stromberg AJ, Bathke AC, Macleod JN. Transcriptional profiling differences for articular cartilage and repair tissue in equine joint surface lesions.. BMC Med Genomics 2009 Sep 14;2:60.
      pmc: PMC2751772pubmed: 19751507doi: 10.1186/1755-8794-2-60google scholar: lookup
    44. Brosnahan MM, Miller DC, Adams M, Antczak DF. IL-22 is expressed by the invasive trophoblast of the equine (Equus caballus) chorionic girdle.. J Immunol 2012 May 1;188(9):4181-7.
      pmc: PMC3746837pubmed: 22490443doi: 10.4049/jimmunol.1103509google scholar: lookup
    45. Coleman SJ, Zeng Z, Liu J, MacLeod J. Analysis of equine protein-coding gene stucture and expression by RNA-sequencing. BMC Bioinformatics 2010;11:O8.
    46. Wang X, Miller DC, Clark AG, Antczak DF. Random X inactivation in the mule and horse placenta.. Genome Res 2012 Oct;22(10):1855-63.
      pmc: PMC3460181pubmed: 22645258doi: 10.1101/gr.138487.112google scholar: lookup
    47. Wang X, Miller DC, Harman R, Antczak DF, Clark AG. Paternally expressed genes predominate in the placenta.. Proc Natl Acad Sci U S A 2013 Jun 25;110(26):10705-10.
      pmc: PMC3696791pubmed: 23754418doi: 10.1073/pnas.1308998110google scholar: lookup
    48. Koboldt DC, Steinberg KM, Larson DE, Wilson RK, Mardis ER. The next-generation sequencing revolution and its impact on genomics.. Cell 2013 Sep 26;155(1):27-38.
      pmc: PMC3969849pubmed: 24074859doi: 10.1016/j.cell.2013.09.006google scholar: lookup
    49. Seyednasrollah F, Laiho A, Elo LL. Comparison of software packages for detecting differential expression in RNA-seq studies.. Brief Bioinform 2015 Jan;16(1):59-70.
      pmc: PMC4293378pubmed: 24300110doi: 10.1093/bib/bbt086google scholar: lookup
    50. Auer PL, Doerge RW. Statistical design and analysis of RNA sequencing data.. Genetics 2010 Jun;185(2):405-16.
      pmc: PMC2881125pubmed: 20439781doi: 10.1534/genetics.110.114983google scholar: lookup
    51. Rudolph JA, Spier SJ, Byrns G, Rojas CV, Bernoco D, Hoffman EP. Periodic paralysis in quarter horses: a sodium channel mutation disseminated by selective breeding.. Nat Genet 1992 Oct;2(2):144-7.
      pubmed: 1338908doi: 10.1038/ng1092-144google scholar: lookup
    52. Shin EK, Perryman LE, Meek K. A kinase-negative mutation of DNA-PK(CS) in equine SCID results in defective coding and signal joint formation.. J Immunol 1997 Apr 15;158(8):3565-9.
      pubmed: 9103416
    53. Tryon RC, White SD, Bannasch DL. Homozygosity mapping approach identifies a missense mutation in equine cyclophilin B (PPIB) associated with HERDA in the American Quarter Horse.. Genomics 2007 Jul;90(1):93-102.
      pubmed: 17498917doi: 10.1016/j.ygeno.2007.03.009google scholar: lookup
    54. McCue ME, Valberg SJ, Miller MB, Wade C, DiMauro S, Akman HO, Mickelson JR. Glycogen synthase (GYS1) mutation causes a novel skeletal muscle glycogenosis.. Genomics 2008 May;91(5):458-66.
      pmc: PMC2430182pubmed: 18358695doi: 10.1016/j.ygeno.2008.01.011google scholar: lookup
    55. Stock KF, Distl O. Multiple-trait selection for radiographic health of the limbs, conformation and performance in Warmblood riding horses.. Animal 2008 Dec;2(12):1724-32.
      pubmed: 22444077doi: 10.1017/s1751731108003091google scholar: lookup
    56. Schröder W, Klostermann A, Stock KF, Distl O. A genome-wide association study for quantitative trait loci of show-jumping in Hanoverian warmblood horses.. Anim Genet 2012 Aug;43(4):392-400.
    57. Viklund A, Näsholm A, Strandberg E, Philipsson J. Effects of long-time series of data on genetic evaluations for performance of Swedish Warmblood riding horses.. Animal 2010 Nov;4(11):1823-31.
      pubmed: 22445143doi: 10.1017/s1751731110001175google scholar: lookup
    58. Gu J, Orr N, Park SD, Katz LM, Sulimova G, MacHugh DE, Hill EW. A genome scan for positive selection in thoroughbred horses.. PLoS One 2009 Jun 2;4(6):e5767.
    59. Tozaki T, Miyake T, Kakoi H, Gawahara H, Sugita S, Hasegawa T, Ishida N, Hirota K, Nakano Y. A genome-wide association study for racing performances in Thoroughbreds clarifies a candidate region near the MSTN gene.. Anim Genet 2010 Dec;41 Suppl 2:28-35.
    60. Hill EW, McGivney BA, Gu J, Whiston R, Machugh DE. A genome-wide SNP-association study confirms a sequence variant (g.66493737C>T) in the equine myostatin (MSTN) gene as the most powerful predictor of optimum racing distance for Thoroughbred racehorses.. BMC Genomics 2010 Oct 11;11:552.
      pmc: PMC3091701pubmed: 20932346doi: 10.1186/1471-2164-11-552google scholar: lookup
    61. Stock KF, Distl O. Genetic correlations between conformation traits and radiographic findings in the limbs of German Warmblood riding horses.. Genet Sel Evol 2006 Nov-Dec;38(6):657-71.
      pmc: PMC2689269pubmed: 17129565doi: 10.1186/1297-9686-38-6-657google scholar: lookup
    62. Stock KF, Distl O. Genetic correlations between performance traits and radiographic findings in the limbs of German Warmblood riding horses.. J Anim Sci 2007 Jan;85(1):31-41.
      pubmed: 17179537doi: 10.2527/jas.2005-605google scholar: lookup
    63. Viklund A, Braam A, Näsholm A, Strandberg E, Philipsson J. Genetic variation in competition traits at different ages and time periods and correlations with traits at field tests of 4-year-old Swedish Warmblood horses.. Animal 2010 May;4(5):682-91.
      pubmed: 22444120doi: 10.1017/s1751731110000017google scholar: lookup
    64. Hill EW, Gu J, Eivers SS, Fonseca RG, McGivney BA, Govindarajan P, Orr N, Katz LM, MacHugh DE. A sequence polymorphism in MSTN predicts sprinting ability and racing stamina in thoroughbred horses.. PLoS One 2010 Jan 20;5(1):e8645.
    65. Binns MM, Boehler DA, Lambert DH. Identification of the myostatin locus (MSTN) as having a major effect on optimum racing distance in the Thoroughbred horse in the USA.. Anim Genet 2010 Dec;41 Suppl 2:154-8.
    66. Gu J, MacHugh DE, McGivney BA, Park SD, Katz LM, Hill EW. Association of sequence variants in CKM (creatine kinase, muscle) and COX4I2 (cytochrome c oxidase, subunit 4, isoform 2) genes with racing performance in Thoroughbred horses.. Equine Vet J Suppl 2010 Nov;(38):569-75.
    67. Hill EW, Gu J, McGivney BA, MacHugh DE. Targets of selection in the Thoroughbred genome contain exercise-relevant gene SNPs associated with elite racecourse performance.. Anim Genet 2010 Dec;41 Suppl 2:56-63.
    68. Promerová M, Andersson LS, Juras R, Penedo MC, Reissmann M, Tozaki T, Bellone R, Dunner S, Hořín P, Imsland F, Imsland P, Mikko S, Modrý D, Roed KH, Schwochow D, Vega-Pla JL, Mehrabani-Yeganeh H, Yousefi-Mashouf N, G Cothran E, Lindgren G, Andersson L. Worldwide frequency distribution of the 'Gait keeper' mutation in the DMRT3 gene.. Anim Genet 2014 Apr;45(2):274-82.
      pubmed: 24444049doi: 10.1111/age.12120google scholar: lookup

    Citations

    This article has been cited 11 times.
    1. Polani S, Dean M, Lichter-Peled A, Hendrickson S, Tsang S, Fang X, Feng Y, Qiao W, Avni G, Kahila Bar-Gal G. Sequence Variant in the TRIM39-RPP21 Gene Readthrough is Shared Across a Cohort of Arabian Foals Diagnosed with Juvenile Idiopathic Epilepsy. J Genet Mutat Disord 2022 Jan;1(1).
      pubmed: 35465405
    2. Finno CJ. Science-in-brief: Genomic and transcriptomic approaches to the investigation of equine diseases. Equine Vet J 2022 Mar;54(2):444-448.
      doi: 10.1111/evj.13549pubmed: 35133024google scholar: lookup
    3. Peng S, Bellone R, Petersen JL, Kalbfleisch TS, Finno CJ. Successful ATAC-Seq From Snap-Frozen Equine Tissues. Front Genet 2021;12:641788.
      doi: 10.3389/fgene.2021.641788pubmed: 34220931google scholar: lookup
    4. Dugué M, Dumont Saint Priest B, Crichan H, Danvy S, Ricard A. Genomic Correlations Between the Gaits of Young Horses Measured by Accelerometry and Functional Longevity in Jumping Competition. Front Genet 2021;12:619947.
      doi: 10.3389/fgene.2021.619947pubmed: 33584826google scholar: lookup
    5. Kingsley NB, Kern C, Creppe C, Hales EN, Zhou H, Kalbfleisch TS, MacLeod JN, Petersen JL, Finno CJ, Bellone RR. Functionally Annotating Regulatory Elements in the Equine Genome Using Histone Mark ChIP-Seq. Genes (Basel) 2019 Dec 18;11(1).
      doi: 10.3390/genes11010003pubmed: 31861495google scholar: lookup
    6. Raudsepp T, Finno CJ, Bellone RR, Petersen JL. Ten years of the horse reference genome: insights into equine biology, domestication and population dynamics in the post-genome era. Anim Genet 2019 Dec;50(6):569-597.
      doi: 10.1111/age.12857pubmed: 31568563google scholar: lookup
    7. Aleman M, Finno CJ, Weich K, Penedo MCT. Investigation of Known Genetic Mutations of Arabian Horses in Egyptian Arabian Foals with Juvenile Idiopathic Epilepsy. J Vet Intern Med 2018 Jan;32(1):465-468.
      doi: 10.1111/jvim.14873pubmed: 29171123google scholar: lookup
    8. McQueen CM, Dindot SV, Foster MJ, Cohen ND. Genetic Susceptibility to Rhodococcus equi. J Vet Intern Med 2015 Nov-Dec;29(6):1648-59.
      doi: 10.1111/jvim.13616pubmed: 26340305google scholar: lookup
    9. Rebolledo-Mendez J, Hestand MS, Coleman SJ, Zeng Z, Orlando L, MacLeod JN, Kalbfleisch T. Comparison of the Equine Reference Sequence with Its Sanger Source Data and New Illumina Reads. PLoS One 2015;10(6):e0126852.
      doi: 10.1371/journal.pone.0126852pubmed: 26107638google scholar: lookup
    10. van der Graaf L, Leigh W, Szmatoła T, Roberts K, Ryan S, Brown B, Van Buren S, Finno CJ, Petersen JL. A missense mutation in the KCNE4 gene is not predictive of equine anhidrosis. Anim Genet 2025 Feb;56(1):e70004.
      doi: 10.1111/age.70004pubmed: 39953936google scholar: lookup
    11. Tammen I, Bailey E, Mather M, Nicholas FW. Equus in Online Mendelian Inheritance in Animals (OMIA). Animals (Basel) 2024 Jul 15;14(14).
      doi: 10.3390/ani14142069pubmed: 39061531google scholar: lookup