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Home / Equine Research Bank / Proc Biol Sci / Inbreeding depression and the probability of racing in the T...
Proceedings. Biological sciences2022; 289(1977); 20220487; doi: 10.1098/rspb.2022.0487

Inbreeding depression and the probability of racing in the Thoroughbred horse.

Abstract: Small effective population sizes and active inbreeding can lead to inbreeding depression due to deleterious recessive mutations exposed in the homozygous state. The Thoroughbred racehorse has low levels of population genetic diversity, but the effects of genomic inbreeding in the population are unknown. Here, we quantified inbreeding based on runs of homozygosity (ROH) using 297 K SNP genotypes from 6128 horses born in Europe and Australia, of which 13.2% were unraced. We show that a 10% increase in inbreeding () is associated with a 7% lower probability of ever racing. Moreover, a ROH-based genome-wide association study identified a haplotype on ECA14 which, in its homozygous state, is linked to a 32.1% lower predicted probability of ever racing, independent of . The haplotype overlaps a candidate gene, , that is highly expressed in cartilage tissue, which when damaged is one of the most common causes of catastrophic musculoskeletal injury in racehorses. Genomics-informed breeding aiming to reduce inbreeding depression and avoid damaging haplotype carrier matings will improve population health and racehorse welfare.
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Publication Date: 2022-06-29 PubMed ID: 35765835PubMed Central: PMC9240673DOI: 10.1098/rspb.2022.0487Google Scholar: Lookup
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  • Journal Article
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  • Non-U.S. Gov't

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 study investigates the influence of inbreeding on the likelihood of a Thoroughbred horse to race. Using genotypes from over 6000 horses, the researchers discovered that a 10% increase in inbreeding is associated with a 7% lower likelihood of the horse ever racing. They also identified certain genetic factors that can further reduce this probability.

Objective of the Study

  • This research aims to understand the effect of inbreeding on the racing capability of Thoroughbred horses. The team sought to quantify inbreeding using runs of homozygosity (ROH), which are unbroken stretches of identical genetic sequences inherited from both parents.

Methods

  • The research involved genotypes from 6128 Thoroughbred horses born in Europe and Australia.
  • The researchers used these genotypes to measure inbreeding based on runs of homozygosity (ROH).
  • A genome-wide association study was performed based on ROH to identify any genetic traits that might affect a horse’s likelihood of racing.

Findings

  • It was found that a 10% increase in inbreeding corresponds to a 7% lower probability of a horse ever participating in a race.
  • A specific genetic sequence on ECA14, when appearing in pairs (homozygous state), contributes to a 32.1% lower predicted probability of a horse ever racing, irrespective of the inbreeding level.
  • This specific sequence overlaps a gene, which is highly present in the cartilage tissue. Damage to this tissue is a frequent cause of catastrophic musculoskeletal injuries in racehorses.

Conclusion and Implications

  • The results of this study indicate that inbreeding decreases the probability of Thoroughbreds ever participating in racing.
  • Identifying and avoiding the propagation of damaging genetic sequences, like the one found in this study, during breeding can improve the population health of Thoroughbreds and their welfare in racing.
  • This insight will help in creating more informed breeding plans to reduce inbreeding depression and potential injuries among racehorses.

Cite This Article

APA
Hill EW, Stoffel MA, McGivney BA, MacHugh DE, Pemberton JM. (2022). Inbreeding depression and the probability of racing in the Thoroughbred horse. Proc Biol Sci, 289(1977), 20220487. https://doi.org/10.1098/rspb.2022.0487

Publication

Proceedings. Biological sciences
ISSN: 1471-2954
NlmUniqueID: 101245157
Country: England
Language: English
Volume: 289
Issue: 1977
Pages: 20220487
PII: 20220487

Researcher Affiliations

Hill, Emmeline W
  • Plusvital Ltd, The Highline, Dún Laoghaire Industrial Estate, Pottery Road, Dún Laoghaire, Co. Dublin, Ireland.
  • UCD School of Agriculture and Food Science, University College Dublin, Belfield, Dublin D04 V1W8, Ireland.
Stoffel, Martin A
  • Institute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3FL, UK.
McGivney, Beatrice A
  • Plusvital Ltd, The Highline, Dún Laoghaire Industrial Estate, Pottery Road, Dún Laoghaire, Co. Dublin, Ireland.
MacHugh, David E
  • UCD School of Agriculture and Food Science, University College Dublin, Belfield, Dublin D04 V1W8, Ireland.
  • UCD Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Belfield, Dublin D04 V1W8, Ireland.
Pemberton, Josephine M
  • Institute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3FL, UK.

MeSH Terms

  • Animals
  • Genome-Wide Association Study / veterinary
  • Horses / genetics
  • Inbreeding
  • Inbreeding Depression
  • Polymorphism, Single Nucleotide
  • Probability

Conflict of Interest Statement

E.W.H. is chief science officer for Plusvital Ltd. B.A.M. is an employee of Plusvital Ltd. E.W.H. and D.E.M. are shareholders in Plusvital Ltd. The University of Edinburgh (M.A.S. and J.M.P.) was contracted by Plusvital Ltd to perform some aspects of the analyses. Other than the authors, the funders played no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. A patent application has been filed (patent pending; European Application no. 22176585.2), which relates to contents of the manuscript.

References

This article includes 63 references
  1. Mcmanus P, Albrecht G, Graham R. 2012. The global horseracing industry: social, economic, environmental and ethical perspectives, 1st edn. London, UK: Routledge.
  2. Cassidy R. 2002. The sport of kings: kinship, class and Thoroughbred breeding in newmarket. Cambridge, UK: Cambridge University Press.
  3. Willett P. 1970. The Thoroughbred. New York: NY: G.P. Putnam's Sons.
  4. Cunningham EP, Dooley JJ, Splan RK, Bradley DG. Microsatellite diversity, pedigree relatedness and the contributions of founder lineages to thoroughbred horses.. Anim Genet 2001 Dec;32(6):360-4.
    doi: 10.1046/j.1365-2052.2001.00785.xpubmed: 11736806google scholar: lookup
  5. McGivney BA, Han H, Corduff LR, Katz LM, Tozaki T, MacHugh DE, Hill EW. Genomic inbreeding trends, influential sire lines and selection in the global Thoroughbred horse population.. Sci Rep 2020 Jan 16;10(1):466.
    doi: 10.1038/s41598-019-57389-5pmc: PMC6965197pubmed: 31949252google scholar: lookup
  6. Petersen JL, Mickelson JR, Cothran EG, Andersson LS, Axelsson J, Bailey E, Bannasch D, Binns MM, Borges AS, Brama P, da Câmara Machado A, Distl O, Felicetti M, 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, Silvestrelli M, Swinburne J, Tozaki T, Vaudin M, M Wade C, McCue ME. Genetic diversity in the modern horse illustrated from genome-wide SNP data.. PLoS One 2013;8(1):e54997.
    doi: 10.1371/journal.pone.0054997pmc: PMC3559798pubmed: 23383025google scholar: lookup
  7. Orlando L, Librado P. Origin and Evolution of Deleterious Mutations in Horses.. Genes (Basel) 2019 Aug 28;10(9).
    doi: 10.3390/genes10090649pmc: PMC6769756pubmed: 31466279google scholar: lookup
  8. Charlesworth D, Willis JH. The genetics of inbreeding depression.. Nat Rev Genet 2009 Nov;10(11):783-96.
    doi: 10.1038/nrg2664pubmed: 19834483google scholar: lookup
  9. Hedrick PW, Garcia-Dorado A. Understanding Inbreeding Depression, Purging, and Genetic Rescue.. Trends Ecol Evol 2016 Dec;31(12):940-952.
    doi: 10.1016/j.tree.2016.09.005pubmed: 27743611google scholar: lookup
  10. Doekes HP, Bijma P, Windig JJ. How Depressing Is Inbreeding? A Meta-Analysis of 30 Years of Research on the Effects of Inbreeding in Livestock.. Genes (Basel) 2021 Jun 18;12(6).
    doi: 10.3390/genes12060926pmc: PMC8234567pubmed: 34207101google scholar: lookup
  11. Ceballos FC, Joshi PK, Clark DW, Ramsay M, Wilson JF. Runs of homozygosity: windows into population history and trait architecture.. Nat Rev Genet 2018 Apr;19(4):220-234.
    doi: 10.1038/nrg.2017.109pubmed: 29335644google scholar: lookup
  12. Ferenčaković M, Sölkner J, Kapš M, Curik I. Genome-wide mapping and estimation of inbreeding depression of semen quality traits in a cattle population.. J Dairy Sci 2017 Jun;100(6):4721-4730.
    doi: 10.3168/jds.2016-12164pubmed: 28434751google scholar: lookup
  13. Pryce JE, Haile-Mariam M, Goddard ME, Hayes BJ. Identification of genomic regions associated with inbreeding depression in Holstein and Jersey dairy cattle.. Genet Sel Evol 2014 Nov 18;46(1):71.
    doi: 10.1186/s12711-014-0071-7pmc: PMC4234836pubmed: 25407532google scholar: lookup
  14. Sumreddee P, Hay EH, Toghiani S, Roberts A, Aggrey SE, Rekaya R. Grid search approach to discriminate between old and recent inbreeding using phenotypic, pedigree and genomic information.. BMC Genomics 2021 Jul 13;22(1):538.
    doi: 10.1186/s12864-021-07872-zpmc: PMC8278650pubmed: 34256689google scholar: lookup
  15. Stoffel MA, Johnston SE, Pilkington JG, Pemberton JM. Mutation load decreases with haplotype age in wild Soay sheep.. Evol Lett 2021 Jun;5(3):187-195.
    doi: 10.1002/evl3.229pmc: PMC8190445pubmed: 34136268google scholar: lookup
  16. Szpiech ZA, Xu J, Pemberton TJ, Peng W, Zöllner S, Rosenberg NA, Li JZ. Long runs of homozygosity are enriched for deleterious variation.. Am J Hum Genet 2013 Jul 11;93(1):90-102.
    doi: 10.1016/j.ajhg.2013.05.003pmc: PMC3710769pubmed: 23746547google scholar: lookup
  17. Zhang Q, Guldbrandtsen B, Bosse M, Lund MS, Sahana G. Runs of homozygosity and distribution of functional variants in the cattle genome.. BMC Genomics 2015 Jul 22;16(1):542.
    doi: 10.1186/s12864-015-1715-xpmc: PMC4508970pubmed: 26198692google scholar: lookup
  18. Flash ML, Wong ASM, Stevenson MA, Gilkerson JR. Barriers to entering race training before 4 years of age for Thoroughbred horses born in the 2014 Australian foal crop.. PLoS One 2020;15(8):e0237003.
    doi: 10.1371/journal.pone.0237003pmc: PMC7406052pubmed: 32756576google scholar: lookup
  19. Flash ML, Renwick M, Gilkerson JR, Stevenson MA. Descriptive analysis of Thoroughbred horses born in Victoria, Australia, in 2010; barriers to entering training and outcomes on exiting training and racing.. PLoS One 2020;15(10):e0241273.
    doi: 10.1371/journal.pone.0241273pmc: PMC7592779pubmed: 33112903google scholar: lookup
  20. Galvin N, Corley K. Causes of disease and death from birth to 12 months of age in the Thoroughbred horse in Ireland.. Ir Vet J 2010 Jan 1;63(1):37-43.
    doi: 10.1186/2046-0481-63-1-37pmc: PMC3113843pubmed: 21851741google scholar: lookup
  21. Jeffcott LB, Rossdale PD, Freestone J, Frank CJ, Towers-Clark PF. An assessment of wastage in thoroughbred racing from conception to 4 years of age.. Equine Vet J 1982 Jul;14(3):185-98.
    doi: 10.1111/j.2042-3306.1982.tb02389.xpubmed: 7106081google scholar: lookup
  22. Flash ML, Crabb HK, Hitchens PL, Firestone SM, Stevenson MA, Gilkerson JR. Participation of Victorian Thoroughbreds in the racing industry: a whole-of-population benchmark.. Aust Vet J 2022 Jan;100(1-2):40-47.
    doi: 10.1111/avj.13124pubmed: 34595748google scholar: lookup
  23. Todd ET, Ho SYW, Thomson PC, Ang RA, Velie BD, Hamilton NA. Founder-specific inbreeding depression affects racing performance in Thoroughbred horses.. Sci Rep 2018 Apr 18;8(1):6167.
    doi: 10.1038/s41598-018-24663-xpmc: PMC5906619pubmed: 29670190google scholar: lookup
  24. Leroy G. Inbreeding depression in livestock species: review and meta-analysis.. Anim Genet 2014 Oct;45(5):618-28.
    doi: 10.1111/age.12178pubmed: 24975026google scholar: lookup
  25. Flash ML, Crabb HK, Hitchens PL, Firestone SM, Stevenson MA, Gilkerson JR. Factors associated with racing performance and career duration for Victorian-born Thoroughbreds.. Aust Vet J 2022 Jan;100(1-2):48-55.
    doi: 10.1111/avj.13128pubmed: 34651302google scholar: lookup
  26. Browning BL, Zhou Y, Browning SR. A One-Penny Imputed Genome from Next-Generation Reference Panels.. Am J Hum Genet 2018 Sep 6;103(3):338-348.
    doi: 10.1016/j.ajhg.2018.07.015pmc: PMC6128308pubmed: 30100085google scholar: lookup
  27. Purcell S, Neale B, Todd-Brown K, Thomas L, Ferreira MA, Bender D, Maller J, Sklar P, de Bakker PI, Daly MJ, Sham PC. PLINK: a tool set for whole-genome association and population-based linkage analyses.. Am J Hum Genet 2007 Sep;81(3):559-75.
    doi: 10.1086/519795pmc: PMC1950838pubmed: 17701901google scholar: lookup
  28. 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.
    doi: 10.1126/science.1178158pmc: PMC3785132pubmed: 19892987google scholar: lookup
  29. McQuillan R, Leutenegger AL, Abdel-Rahman R, Franklin CS, Pericic M, Barac-Lauc L, Smolej-Narancic N, Janicijevic B, Polasek O, Tenesa A, Macleod AK, Farrington SM, Rudan P, Hayward C, Vitart V, Rudan I, Wild SH, Dunlop MG, Wright AF, Campbell H, Wilson JF. Runs of homozygosity in European populations.. Am J Hum Genet 2008 Sep;83(3):359-72.
    doi: 10.1016/j.ajhg.2008.08.007pmc: PMC2556426pubmed: 18760389google scholar: lookup
  30. Thompson EA. Identity by descent: variation in meiosis, across genomes, and in populations.. Genetics 2013 Jun;194(2):301-26.
    doi: 10.1534/genetics.112.148825pmc: PMC3664843pubmed: 23733848google scholar: lookup
  31. Bates DM, Mächler M, Bolker B, Walker S. Fitting linear mixed-effects models using lme4. J. Stat. Softw. 67, 1-48.
    doi: 10.18637/jss.v067.i01google scholar: lookup
  32. Gao X, Starmer J, Martin ER. A multiple testing correction method for genetic association studies using correlated single nucleotide polymorphisms.. Genet Epidemiol 2008 May;32(4):361-9.
    doi: 10.1002/gepi.20310pubmed: 18271029google scholar: lookup
  33. Kardos M, Åkesson M, Fountain T, Flagstad Ø, Liberg O, Olason P, Sand H, Wabakken P, Wikenros C, Ellegren H. Genomic consequences of intensive inbreeding in an isolated wolf population.. Nat Ecol Evol 2018 Jan;2(1):124-131.
    doi: 10.1038/s41559-017-0375-4pubmed: 29158554google scholar: lookup
  34. 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.
    doi: 10.1371/journal.pgen.1003211pmc: PMC3547851pubmed: 23349635google scholar: lookup
  35. Han H, McGivney BA, Farries G, Katz LM, MacHugh DE, Randhawa IAS, Hill EW. Selection in Australian Thoroughbred horses acts on a locus associated with early two-year old speed.. PLoS One 2020;15(2):e0227212.
    doi: 10.1371/journal.pone.0227212pmc: PMC7015314pubmed: 32049967google scholar: lookup
  36. Fawcett JA, Sato F, Sakamoto T, Iwasaki WM, Tozaki T, Innan H. Genome-wide SNP analysis of Japanese Thoroughbred racehorses.. PLoS One 2019;14(7):e0218407.
    doi: 10.1371/journal.pone.0218407pmc: PMC6655603pubmed: 31339891google scholar: lookup
  37. Edwards CM, Mundy GR. Eph receptors and ephrin signaling pathways: a role in bone homeostasis.. Int J Med Sci 2008 Sep 3;5(5):263-72.
    doi: 10.7150/ijms.5.263pmc: PMC2536716pubmed: 18797510google scholar: lookup
  38. Nguyen TM, Arthur A, Paton S, Hemming S, Panagopoulos R, Codrington J, Walkley CR, Zannettino AC, Gronthos S. Loss of ephrinB1 in osteogenic progenitor cells impedes endochondral ossification and compromises bone strength integrity during skeletal development.. Bone 2016 Dec;93:12-21.
    doi: 10.1016/j.bone.2016.09.009pubmed: 27622886google scholar: lookup
  39. Stark DA, Karvas RM, Siegel AL, Cornelison DD. Eph/ephrin interactions modulate muscle satellite cell motility and patterning.. Development 2011 Dec;138(24):5279-89.
    doi: 10.1242/dev.068411pmc: PMC3222207pubmed: 22071104google scholar: lookup
  40. D'Souza D, Patel K. Involvement of long- and short-range signalling during early tendon development.. Anat Embryol (Berl) 1999 Oct;200(4):367-75.
    doi: 10.1007/s004290050286pubmed: 10460474google scholar: lookup
  41. Compagni A, Logan M, Klein R, Adams RH. Control of skeletal patterning by ephrinB1-EphB interactions.. Dev Cell 2003 Aug;5(2):217-30.
    doi: 10.1016/S1534-5807(03)00198-9pubmed: 12919674google scholar: lookup
  42. Alonso-Martin S, Rochat A, Mademtzoglou D, Morais J, de Reyniès A, Auradé F, Chang TH, Zammit PS, Relaix F. Gene Expression Profiling of Muscle Stem Cells Identifies Novel Regulators of Postnatal Myogenesis.. Front Cell Dev Biol 2016;4:58.
    doi: 10.3389/fcell.2016.00058pmc: PMC4914952pubmed: 27446912google scholar: lookup
  43. Gu JM, Wang DJ, Peterson JM, Shintaku J, Liyanarachchi S, Coppola V, Frakes AE, Kaspar BK, Cornelison DD, Guttridge DC. An NF-κB--EphrinA5-Dependent Communication between NG2(+) Interstitial Cells and Myoblasts Promotes Muscle Growth in Neonates.. Dev Cell 2016 Jan 25;36(2):215-24.
    doi: 10.1016/j.devcel.2015.12.018pmc: PMC4732710pubmed: 26777211google scholar: lookup
  44. Li YY, Mi Z, Feng Y, McTiernan CF, Zhou R, Robbins PD, Watkins SC, Feldman AM. Differential effects of overexpression of two forms of ephrin-A5 on neonatal rat cardiomyocytes.. Am J Physiol Heart Circ Physiol 2001 Dec;281(6):H2738-46.
    doi: 10.1152/ajpheart.2001.281.6.H2738pubmed: 11709443google scholar: lookup
  45. An B, Xu L, Xia J, Wang X, Miao J, Chang T, Song M, Ni J, Xu L, Zhang L, Li J, Gao H. Multiple association analysis of loci and candidate genes that regulate body size at three growth stages in Simmental beef cattle.. BMC Genet 2020 Mar 14;21(1):32.
    doi: 10.1186/s12863-020-0837-6pmc: PMC7071762pubmed: 32171250google scholar: lookup
  46. Stambuk CR, Staiger EA, Heins BJ, Huson HJ. Exploring physiological and genetic variation of digital cushion thickness in Holstein and Jersey cows and bulls.. J Dairy Sci 2020 Oct;103(10):9177-9194.
    doi: 10.3168/jds.2020-18290pubmed: 32713698google scholar: lookup
  47. Lindsey RC, Rundle CH, Mohan S. Role of IGF1 and EFN-EPH signaling in skeletal metabolism.. J Mol Endocrinol 2018 Jul;61(1):T87-T102.
    doi: 10.1530/JME-17-0284pmc: PMC5966337pubmed: 29581239google scholar: lookup
  48. Matsuo K, Otaki N. Bone cell interactions through Eph/ephrin: bone modeling, remodeling and associated diseases.. Cell Adh Migr 2012 Mar-Apr;6(2):148-56.
    doi: 10.4161/cam.20888pmc: PMC3499314pubmed: 22660185google scholar: lookup
  49. Arthur A, Gronthos S. Eph-Ephrin Signaling Mediates Cross-Talk Within the Bone Microenvironment.. Front Cell Dev Biol 2021;9:598612.
    doi: 10.3389/fcell.2021.598612pmc: PMC7902060pubmed: 33634116google scholar: lookup
  50. Himanen JP, Chumley MJ, Lackmann M, Li C, Barton WA, Jeffrey PD, Vearing C, Geleick D, Feldheim DA, Boyd AW, Henkemeyer M, Nikolov DB. Repelling class discrimination: ephrin-A5 binds to and activates EphB2 receptor signaling.. Nat Neurosci 2004 May;7(5):501-9.
    doi: 10.1038/nn1237pubmed: 15107857google scholar: lookup
  51. Ruan Z, Zhu Y, Lin Z, Long H, Zhao R, Sun B, Cheng L, Zhao S. Association between rs12742784 polymorphism and hip fracture, bone mineral density, and EPHB2 mRNA expression levels in elderly Chinese women.. Climacteric 2020 Feb;23(1):93-98.
    doi: 10.1080/13697137.2019.1640195pubmed: 31352841google scholar: lookup
  52. Nielson CM, Liu CT, Smith AV, Ackert-Bicknell CL, Reppe S, Jakobsdottir J, Wassel C, Register TC, Oei L, Alonso N, Oei EH, Parimi N, Samelson EJ, Nalls MA, Zmuda J, Lang T, Bouxsein M, Latourelle J, Claussnitzer M, Siggeirsdottir K, Srikanth P, Lorentzen E, Vandenput L, Langefeld C, Raffield L, Terry G, Cox AJ, Allison MA, Criqui MH, Bowden D, Ikram MA, Mellström D, Karlsson MK, Carr J, Budoff M, Phillips C, Cupples LA, Chou WC, Myers RH, Ralston SH, Gautvik KM, Cawthon PM, Cummings S, Karasik D, Rivadeneira F, Gudnason V, Orwoll ES, Harris TB, Ohlsson C, Kiel DP, Hsu YH. Novel Genetic Variants Associated With Increased Vertebral Volumetric BMD, Reduced Vertebral Fracture Risk, and Increased Expression of SLC1A3 and EPHB2.. J Bone Miner Res 2016 Dec;31(12):2085-2097.
    doi: 10.1002/jbmr.2913pmc: PMC5477772pubmed: 27476799google scholar: lookup
  53. Arthur A, Paton S, Zannettino ACW, Gronthos S. Conditional knockout of ephrinB1 in osteogenic progenitors delays the process of endochondral ossification during fracture repair.. Bone 2020 Mar;132:115189.
    doi: 10.1016/j.bone.2019.115189pubmed: 31863961google scholar: lookup
  54. Yamada T, Yuasa M, Masaoka T, Taniyama T, Maehara H, Torigoe I, Yoshii T, Shinomiya K, Okawa A, Sotome S. After repeated division, bone marrow stromal cells express inhibitory factors with osteogenic capabilities, and EphA5 is a primary candidate.. Bone 2013 Dec;57(2):343-54.
    doi: 10.1016/j.bone.2013.08.028pubmed: 24029132google scholar: lookup
  55. Kalinski T, Röpke A, Sel S, Kouznetsova I, Röpke M, Roessner A. Down-regulation of ephrin-A5, a gene product of normal cartilage, in chondrosarcoma.. Hum Pathol 2009 Dec;40(12):1679-85.
    doi: 10.1016/j.humpath.2009.03.024pubmed: 19695673google scholar: lookup
  56. Guan M, Pan D, Zhang M, Leng X, Yao B. Deer antler extract potentially facilitates xiphoid cartilage growth and regeneration and prevents inflammatory susceptibility by regulating multiple functional genes.. J Orthop Surg Res 2021 Mar 22;16(1):208.
    doi: 10.1186/s13018-021-02350-4pmc: PMC7983396pubmed: 33752715google scholar: lookup
  57. Desjardins MR, Hurtig MB. Cartilage healing: A review with emphasis on the equine model.. Can Vet J 1990 Aug;31(8):565-72.
    pmc: PMC1480835pubmed: 17423644
  58. Janes JG, Kennedy LA, Garrett KS, Engiles JB. Common lesions of the distal end of the third metacarpal/metatarsal bone in racehorse catastrophic breakdown injuries.. J Vet Diagn Invest 2017 Jul;29(4):431-436.
    doi: 10.1177/1040638717717948pubmed: 28681688google scholar: lookup
  59. Martig S, Chen W, Lee PV, Whitton RC. Bone fatigue and its implications for injuries in racehorses.. Equine Vet J 2014 Jul;46(4):408-15.
    doi: 10.1111/evj.12241pubmed: 24528139google scholar: lookup
  60. Turley SM, Thambyah A, Riggs CM, Firth EC, Broom ND. Microstructural changes in cartilage and bone related to repetitive overloading in an equine athlete model.. J Anat 2014 Jun;224(6):647-58.
    doi: 10.1111/joa.12177pmc: PMC4025892pubmed: 24689513google scholar: lookup
  61. Drabbe A, Janssens S, Blott S, Ducro BJ, Fontanel M, Francois L, Schurink A, Stinckens A, Lindgren G, Van Mol B, Pille F, Buys N, Velie BD. Genome-Wide Association Analyses of Osteochondrosis in Belgian Warmbloods Reveal Candidate Genes Associated With Chondrocyte Development.. J Equine Vet Sci 2022 Apr;111:103870.
    doi: 10.1016/j.jevs.2022.103870pubmed: 35074400google scholar: lookup
  62. Hill E. Thoroughbred horse inbreeding measures and racing phenotypes. Dryad Digital Repository .
    doi: 10.5061/dryad.rn8pk0pcrgoogle scholar: lookup
  63. Hill EW, Stoffel MA, McGivney BA, MacHugh DE, Pemberton JM. Inbreeding depression and the probability of racing in the Thoroughbred horse.. Proc Biol Sci 2022 Jun 29;289(1977):20220487.
    doi: 10.6084/m9.figshare.c.6035793pmc: PMC9240673pubmed: 35765835google scholar: lookup

Citations

This article has been cited 4 times.
  1. Todd ET, Fromentier A, Sutcliffe R, Running Horse Collin Y, Perdereau A, Aury JM, Èche C, Bouchez O, Donnadieu C, Wincker P, Kalbfleisch T, Petersen JL, Orlando L. Imputed genomes of historical horses provide insights into modern breeding.. iScience 2023 Jul 21;26(7):107104.
    doi: 10.1016/j.isci.2023.107104pubmed: 37416458google scholar: lookup
  2. Górecka-Bruzda A, Jaworska J, Stanley CR. The Social and Reproductive Challenges Faced by Free-Roaming Horse (Equus caballus) Stallions.. Animals (Basel) 2023 Mar 24;13(7).
    doi: 10.3390/ani13071151pubmed: 37048406google scholar: lookup
  3. Stallones L, McManus P, McGreevy P. Sustainability and the Thoroughbred Breeding and Racing Industries: An Enhanced One Welfare Perspective.. Animals (Basel) 2023 Jan 31;13(3).
    doi: 10.3390/ani13030490pubmed: 36766378google scholar: lookup
  4. Cardinali I, Giontella A, Tommasi A, Silvestrelli M, Lancioni H. Unlocking Horse Y Chromosome Diversity.. Genes (Basel) 2022 Dec 2;13(12).
    doi: 10.3390/genes13122272pubmed: 36553539google scholar: lookup
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