CoChat
Sign Up
Cited by 33Genetic and phenotypic traits in livestockVeterinary Equine Medical ResearchGenetic Mapping and Diversity in Plants and Animals

Assessment and Distribution of Runs of Homozygosity in Horse Breeds Representing Different Utility Types

Open access
Szmatoła, Tomasz, Gurgul, Artur, Jasielczuk, Igor, Oclon, Ewa, Ropka-Molik, Katarzyna, Stefaniuk-Szmukier, Monika, Polak, Grazyna, Tomczyk-Wrona, Iwona +1 more·2022·Animals
DOI 10.3390/ani12233293PMC PMC9736150
Open this paper in CoChat — free accountOpen PDF

Abstract

The present study reports runs of homozygosity (ROH) distribution in the genomes of six horse breeds (571 horses in total) representing three horse types (primitive, light, and draft horses) based on the 65k Equine BeadChip assay. Of major interest was the length, quantity, and frequency of ROH characteristics, as well as differences between horse breeds and types. Noticeable differences in the number, length and distribution of ROH between breeds were observed, as well as in genomic inbreeding coefficients. We also identified regions of the genome characterized by high ROH coverage, known as ROH islands, which may be signals of recent selection events. Eight to fourteen ROH islands were identified per breed, which spanned multiple genes. Many were involved in important horse breed characteristics, including WFIKNN2, CACNA1G, STXBP4, NOG, FAM184B, QDPR, LCORL, and the zinc finger protein family. Regions of the genome with zero ROH occurrences were also of major interest in specific populations. Depending on the breed, we detected between 2 to 57 no-ROH regions and identified 27 genes in these regions that were common for five breeds. These genes were involved in, e.g., muscle contractility (CACNA1A) and muscle development (miR-23, miR-24, miR-27). To sum up, the obtained results can be furthered analyzed in the topic of identification of markers unique for specific horse breed characteristics.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3390/ani12233293

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • miR-23a and miR-23b share a common target and have consistent functions, affecting skeletal muscle differentiation by inhibiting TrxR1 and participating in skeletal muscle generation.

    “miR-23a and miR-23b share a common target and have consistent functions, which can affect skeletal muscle differentiation by inhibiting Thioredoxin reductase 1 (TrxR1) and participate in skeletal muscle generation [[104], [105], [106]].”

    From Recent advances of miR-23 in human diseases and growth development (2025) · cites this paper as [105]

    The Discussion (section 4.2, page not provided) identifies miR-23a and miR-23b as members of paralogous clusters and reports that members of those clusters have roles in skeletal muscle development. It does not say that miR-23a and miR-23b share a target, have consistent functions, or affect differentiation by inhibiting TrxR1; searches for TrxR1 and a shared target found no such passage. (LLM, conf=0.84)

    Experimental — accuracy not yet measured

  • In horse cell reprogramming, miR-23 expression level was decreased in induced pluripotent stem cells, which can recognize breed characteristics of horses.

    “the expression level of miR-23 was decreased in induced pluripotent stem cells (iPSCs), which can recognize the breed characteristics of horses.”

    From Recent advances of miR-23 in human diseases and growth development (2025) · cites this paper as [105]

    The Discussion (§4.2, page unavailable) reports that miR-23 expression decreased during muscle atrophy and identifies eca-miR-23a in genomic regions shared by five horse breeds. It does not report a decrease during cell reprogramming or in induced pluripotent stem cells, nor establish miR-23 as a way to recognize breed characteristics. (LLM, conf=0.85)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 74

  1. [1]Purfield D.C. Berry D.P. McParland S. Bradley D.G. Runs of homozygosity and population history in cattle BMC Genet. 2012 13 70 10.1186/1471-2156-13-70 22888858 PMC3502433 · DOI
  2. [2]McQuillan R. Leutenegger A.-L. Abdel-Rahman R. Franklin C.S. Pericic M. Barac-Lauc L. Smolej-Narancic N. Janicijevic B. Polasek O. Tenesa A. Runs of homozygosity in European populations Am. J. Hum. Genet. 2008 83 359 372 10.1016/j.ajhg.2008.08.007 18760389 PMC2556426 · DOI
  3. [3]Curik I. Ferencakovic M. Sölkner J. Inbreeding and runs of homozygosity: A possible solution to an old problem Livest. Sci. 2014 166 26 34 10.1016/j.livsci.2014.05.034 · DOI
  4. [5]Szmatola T. Gurgul A. Jasielczuk I. Zabek T. Ropka-Molik K. Litwińczuk Z. Bugno-Poniewierska M. A Comprehensive Analysis of Runs of Homozygosity of Eleven Cattle Breeds Representing Different Production Types Animals 2019 9 1024 10.3390/ani9121024 31775271 PMC6941163 · DOI
  5. [6]Howrigan D.P. Simonson M.A. Keller M.C. Detecting autozygosity through runs of homozygosity: A comparison of three autozygosity detection algorithms BMC Genom. 2011 12 460 10.1186/1471-2164-12-460 21943305 PMC3188534 · DOI
  6. [7]Mastrangelo S. Tolone M. Gerlando R.D. Fontanesi L. Sardina M.T. Portolano B. Genomic inbreeding estimation in small populations: Evaluation of runs of homozygosity in three local dairy cattle breeds Animal 2016 10 746 754 10.1017/S1751731115002943 27076405 · DOI
  7. [8]Nothnagel M. Lu T.T. Kayser M. Krawczak M. Genomic and geographic distribution of SNP-defined runs of homozygosity in Europeans Hum. Mol. Genet. 2010 19 2927 2935 10.1093/hmg/ddq198 20462934 · DOI
  8. [9]Pemberton T.J. Absher D. Feldmand M.W. Myers R.M. Rosenberg N.A. Li J.Z. Genomic patterns of homozygosity in worldwide human populations Am. J. Hum. Genet. 2012 10 275 292 10.1016/j.ajhg.2012.06.014 PMC3415543 22883143 · DOI
  9. [10]Peripolli E. Munari D.P. Silva M.V.G.B. Lima A.L.F. Irgang R. Baldi F. Runs of homozygosity: Current knowledge and applications in livestock Anim. Genet. 2017 48 255 271 10.1111/age.12526 27910110 · DOI
  10. [11]Gibson J. Morton N.E. Collins A. Extended tracts of homozygosity in outbred human populations Hum. Mol. Genet. 2006 15 789 795 10.1093/hmg/ddi493 16436455 · DOI
  11. [12]Solkner J. Ferencakovic M. Gredler B. Curik I. Genomic metrics of individual autozygosity, applied to a cattle population, In Proceedings of the 61st Annual Meeting of the European Association of Animal Production, Heraklion, Greece, 22–26 August 2010
  12. [13]Ferencakovic M. Hamzic E. Gredler B. Solberg T.R. Klemetsdal G. Curik I. Solkner J. Estimates of autozygosity derived from runs of homozygosity: Empirical evidence from selected cattle populations J. Anim. Breed. Genet. 2013 130 286 293 10.1111/jbg.12012 23855630 · DOI
  13. [14]Kim E.S. Cole J.B. Huson H. Wiggans G.R. Van Tassell C.P. Crooker B.A. Liu G. Da Y. Sonstegard T.S. Effect of artificial selection on runs of homozygosity in U S. Holstein cattle, PLoS ONE 2013 8 e80813 24348915 PMC3858116
  14. [15]Librado P. Khan N. Fages A. Kusliy M.A. Suchan T. Tonasso-Calvière L. Schiavinato S. Alioglu D. Fromentier A. Perdereau A. The origins and spread of domestic horses from the Western Eurasian steppes Pre-domestication population structure Nature 2021 598 634 640 10.1038/s41586-021-04018-9 34671162 PMC8550961 · DOI
  15. [16]Remer V. Bozlak E. Felkel S. Radovic L. Rigler D. Grilz-Seger G. Stefaniuk-Szmukier M. Bugno-Poniewierska M. Brooks S. Miller D.C. Y-Chromosomal Insights into Breeding History and Sire Line Genealogies of Arabian Horses Genes 2022 13 229 10.3390/genes13020229 35205275 PMC8871751 · DOI
  16. [17]Cosgrove E.J. Sadeghi R. Schlamp F. Holl H.M. Moradi-Shahrbabak M. Miraei-Ashtiani S.R. Abdalla S. Shykind B. Troedsson M. Stefaniuk-Szmukier M. Genome Diversity and the Origin of the Arabian Horse Sci. Rep. 2020 10 9702 10.1038/s41598-020-66232-1 32546689 PMC7298027 · DOI
  17. [18]Dubois C. Ricard A. Efficiency of past selection of the French Sport Horse: Selle Français breed and suggestions for the future Livest. Sci. 2007 112 161 171 10.1016/j.livsci.2007.02.008 · DOI
  18. [20]Fornal A. Radko A. Nogaj J. Zielinska-Darecka K. Piestrzynska-Kajtoch A. Malopolski Horse Stallions: Genetic Diversity Estimated on the Basisof Microsatellite DNA and Class I Markers Folia Bilogica 2018 66 83 87 10.3409/fb_66-2.09 · DOI
  19. [21]Polak G. Gurgul A. Jasielczuk I. Szmatoła T. Edrzej Krupí Nski J. Bugno-Poniewierska M. Suitability of Pedigree Information and Genomic Methods for Analyzing Inbreeding of Polish Cold-Blooded Horses Covered by Conservation Programs Genes 2021 12 429 10.3390/genes12030429 33802830 PMC8002693 · DOI
  20. [22]Jasielczuk I. Gurgul A. Szmatoła T. Semik-Gurgul E. Pawlina-Tyszko K. Stefaniuk-Szmukier M. Polak G. Tomczyk-Wrona I. Bugno-Poniewierska M. Linkage disequilibrium, haplotype blocks and historical effective population size in Arabian horses and selected Polish native horse breeds Livest. Sci. 2020 239 104095 10.1016/j.livsci.2020.104095 · DOI
  21. [23]Gurgul A. Jasielczuk I. Semik-Gurgul E. Pawlina-Tyszko K. Stefaniuk-Szmukier M. Szmatoła T. Polak G. Tomczyk-Wrona I. Bugno-Poniewierska M. A genome-wide scan for diversifying selection signatures in selected horse breeds PLoS ONE 2019 14 e0210751 10.1371/journal.pone.0210751 30699152 PMC6353161 · DOI
  22. [25]Pasternak M. Krupinski J. Gurgul A. Bugno-Poniewierska M. Genetic, historical and breeding aspects of the occurrence of the tobiano pattern and white markings in the Polish population of Hucul horses–a review J. Appl. Anim. Res. 2020 48 21 27 10.1080/09712119.2020.1715224 · DOI
  23. [26]Gurgul A. Jasielczuk I. Semik-Gurgul E. Pawlina-Tyszko K. Szmatola T. Polak G. Bugno-Poniewierska M. Genetic Differentiation of the Two Types of Polish Cold-blooded Horses Included in the National Conservation Program Animals 2020 10 542 10.3390/ani10030542 32214005 PMC7143816 · DOI
  24. [28]Purcell S. Neale B. Todd-Brown K. Thomas L. Ferreira M.A.R. Bender D. Maller J. Sklar P. de Bakker P.I.W. Daly M.J. PLINK: A toolset for whole-genome association and population-based linkage analysis Am. J. Hum. Genet. 2007 81 559 575 10.1086/519795 17701901 PMC1950838 · DOI · Paper page
  25. [30]Beeson S.K. Mickelson J.R. McCue M.E. Equine recombination map updated to EquCab3.0 Anim. Genet. 2019 51 341 342 10.1111/age.12898 31887785 PMC7054148 · DOI
  26. [31]Howe K.L. Achuthan P. Allen J. Allen J. Alvarez-Jarreta J. Amode M.R. Armean I.M. Azov A.G. Bennett R. Bhai J. Ensembl 2021 Nucleic Acids Res. 2021 49 884 891 10.1093/nar/gkaa942 PMC7778975 33137190 · DOI
  27. [32]Grilz-Seger G. Druml T. Neuditschko M. Mesaric M. Cotman M. Brem G. Analysis of ROH patterns in the Noriker horse breed reveals signatures of selection for coat color and body size Anim. Genet. 2019 50 334 346 10.1111/age.12797 31199540 PMC6617995 · DOI
  28. [33]Grilz-Seger G. Mesaric M. Cotman M. Neuditschko M. Druml T. Brem G. Runs of homozygosity and population history of three horse breeds with small population size J. Equine Vet. Sci. 2018 71 27 34 10.1016/j.jevs.2018.09.004 · DOI
  29. [34]Druml T. Neuditschko M. Grilz-Seger G. Horna M. Ricard A. Mesaric M. Cotman M. Pausch H. Brem G. Population Networks Associated with Runs of Homozygosity Reveal New Insights into the Breeding History of the Haflinger Horse J. Hered. 2018 109 384 392 10.1093/jhered/esx114 29294044 · DOI
  30. [35]Gorssen W. Meyermans R. Janssens S. Buys N. A publicly available repository of ROH islands reveals signatures of selection in different livestock and pet species GSE 2021 53 2 10.1186/s12711-020-00599-7 33397285 PMC7784028 · DOI
  31. [36]Zhang Q. Guldbrandtsen B. Bosse M. Lund M.S. Sahana G. Runs of homozygosity and distribution of functional variants in the cattle genome BMC Genom. 2015 16 542 10.1186/s12864-015-1715-x 26198692 PMC4508970 · DOI
  32. [37]Marras G. Gaspa G. Sorbolini S. Dimauro C. Ajmone-Marsan P. Valentini A. Williams J.L. MacCiotta N.P.P. Analysis of runs of homozygosity and their relationship with inbreeding in five cattle breeds farmed in Italy Anim. Genet. 2015 46 110 121 10.1111/age.12259 25530322 · DOI
  33. [38]Fornal A. Kowalska K. Zabek T. Piestrzynska-Kajtoch A. Musiał A.D. Ropka-Molik K. Genetic Diversity and Population Structure of Polish Konik Horse Based on Individuals from All the Male Founder Lines and Microsatellite Markers Animals 2020 10 1569 10.3390/ani10091569 32899310 PMC7552212 · DOI
  34. [39]Kondás K. Szláma G. Trexler M. Patthy L. Both WFIKKN1 and WFIKKN2 have high affinity for growth and differentiation factors 8 and 11 J. Biol. Chem. 2008 283 23677 23684 10.1074/jbc.M803025200 18596030 PMC3259755 · DOI
  35. [40]Monestier O. Blanquet V. WFIKKN1 and WFIKKN2: “Companion” proteins regulating TGFB activity Cytokine Growth Factor Rev. 2016 32 75 84 10.1016/j.cytogfr.2016.06.003 27325460 · DOI
  36. [41]Haidet A.M. Rizo L. Handy C. Umapathi R. Eagle A. Shilling C. Boue D. Martin P.T. Sahenk Z. Mendell J.R. Long-term enhancement of skeletal muscle mass and strength by single gene administration of myostatin inhibitors Proc. Natl. Acad. Sci. USA 2008 105 4318 4322 10.1073/pnas.0709144105 18334646 PMC2393740 · DOI
  37. [42]Brun C. Monestier O. Legardinier S. Maftah A. Blanquet V. Murine GASP-1 N-Glycosylation is not essential for its activity on C2C12 myogenic cells but alters its secretion Cell Physiol. Biochem. 2012 30 791 804 10.1159/000341458 22868230 · DOI
  38. [43]Spurlin B.A. Park S.Y. Nevins A.K. Kim J.K. Thurmond D.C. Syntaxin 4 transgenic mice exhibit enhanced insulin-mediated glucose uptake in skeletal muscle Diabetes 2004 53 2223 2231 10.2337/diabetes.53.9.2223 15331531 · DOI
  39. [44]Yoo M. Kim B.G. Lee S.J. Jeong H.J. Park J.W. Seo D.W. Kim Y.K. Lee H.Y. Han J.W. Kang J.S. Syntaxin 4 regulates the surface localization of a promyogenic receptor Cdo thereby promoting myogenic differentiation Skelet Muscle 2015 5 28 10.1186/s13395-015-0052-8 26347807 PMC4561423 · DOI
  40. [45]Ono Y. Calhabeu F. Morgan J.E. Katagiri T. Amthor H. Zammit P.S. BMP signalling permits population expansion by preventing premature myogenic differentiation in muscle satellite cells Cell Death Differ. 2011 18 222 234 10.1038/cdd.2010.95 20689554 PMC3044455 · DOI · Paper page
  41. [46]Costamagna D. Mommaerts H. Sampaolesi M. Tylzanowski P. Noggin inactivation affects the number and differentiation potential of muscle progenitor cells in vivo Sci. Rep. 2016 6 31949 10.1038/srep31949 27573479 PMC5004166 · DOI
  42. [47]Gandini M.A. Felix R. Molecular and functional interplay of voltage-gated Ca2⁺ channels with the cytoskeleton Curr. Mol. Pharmacol. 2015 8 69 80 10.2174/1874467208666150507094252 25966702 · DOI
  43. [48]Shi N. Guo X. Chen S.-Y. Olfactomedin 2, a novel regulator for transforming growth factor-β-induced smooth muscle differentiation of human embryonic stem cell-derived mesenchymal cells Mol. Biol. Cell 2014 25 4106 4114 10.1091/mbc.e14-08-1255 25298399 PMC4263453 · DOI
  44. [49]Shimoide T. Kawao N. Morita H. Ishida M. Takafuji Y. Kaji H. Roles of Olfactomedin 1 in Muscle and Bone Alterations Induced by Gravity Change in Mice Calcif. Tissue Int. 2020 107 180 190 10.1007/s00223-020-00710-6 32462291 · DOI
  45. [50]Bryan K. McGivney B.A. Farries G. McGettigan P.A. McGivney C.L. Gough K.F. MacHugh D.E. Katz L.M. Hill E.W. Equine skeletal muscle adaptations to exercise and training: Evidence of differential regulation of autophagosomal and mitochondrial components BMC Genom. 2017 18 595 10.1186/s12864-017-4007-9 PMC5551008 28793853 · DOI
  46. [51]Kruger K. Reichel T. Zeilinger C. Role of heat shock proteins 70/90 in exercise physiology and exercise immunology and their diagnostic potential in sports J. Physiol. 2019 4 916 927 10.1152/japplphysiol.01052.2018 30730806 · DOI
  47. [52]Denham J. McCluskey M. Denham M.M. Sellami M. Davie A.J. Epigenetic control of exercise adaptations in the equine athlete: Current evidence and future directions Equine Vet. J. 2021 53 431 450 10.1111/evj.13320 32671871 · DOI
  48. [53]Voisin S. Eynon N. Yan X. Bishop D.J. Exercise training and DNA methylation in humans Acta Physiol. 2015 213 39 59 10.1111/apha.12414 25345837 · DOI
  49. [54]Zhao W. Mu Y. Ma L. Wang C. Tang Z. Yang S. Zhou R. Hu X. Li M.H. Li K. Systematic identification and characterization of long intergenic non-coding RNAs in fetal porcine skeletal muscle development Sci. Rep. 2015 5 8957 10.1038/srep08957 25753296 PMC4354164 · DOI
  50. [55]Roberts T.C. Morris K.V. Weinberg M.S. Perspectives on the mechanism of transcriptional regulation by long non-coding RNAs Epigenetics 2014 9 13 20 10.4161/epi.26700 24149621 PMC3928176 · DOI
  51. [56]Bonilauri B. Dallagiovanna B. Long Non-coding RNAs Are Differentially Expressed After Different Exercise Training Programs Front. Physiol. 2020 11 567614 10.3389/fphys.2020.567614 33071823 PMC7533564 · DOI
  52. [57]Zheng L. Liu X. Chen P. Xiao W. Expression and role of lncRNAs in the regeneration of skeletal muscle following contusion injury Exp. Ther. Med. 2019 18 2617 2627 10.3892/etm.2019.7871 31572510 PMC6755471 · DOI
  53. [58]Emerson R.O. Thomas J.H. Adaptive Evolution in Zinc Finger Transcription Factors PLoS Genet. 2009 5 e1000325 10.1371/journal.pgen.1000325 19119423 PMC2604467 · DOI
  54. [59]Nail A.N. Smith J.J. Peterson M.L. Spear B.T. Evolutionary Analysis of the Zinc Finger and Homeoboxes Family of Proteins Identifies Multiple Conserved Domains and a Common Early Chordate Ancestor Genome Biol. Evol. 2020 12 174 184 10.1093/gbe/evaa039 32125369 PMC7144352 · DOI
  55. [60]Cassandri M. Smirnov A. Novelli F. Pitolli C. Agostini M. Malewicz M. Melino G. Raschellà G. Zinc-finger proteins in health and disease Cell Death Discov. 2017 3 17071 10.1038/cddiscovery.2017.71 29152378 PMC5683310 · DOI
  56. [61]Sevane N. Dunner S. Boado A. Cañon J. Polymorphisms in ten candidate genes are associated with conformational and locomotive traits in Spanish Purebred horses J. Appl. Genet. 2016 58 355 361 10.1007/s13353-016-0385-y 27917442 · DOI
  57. [62]Boyko A.R. Brooks S.A. Behan-Braman A. Castelhano M. Corey E. Oliveira K.C. Swinburne J.E. Todhunter R.J. Zhang Z. Ainsworth D.M. Genomic analysis establishes correlation between growth and laryngeal neuropathy in Thoroughbreds BMC Genom. 2014 15 259 10.1186/1471-2164-15-259 PMC4051171 24707981 · DOI
  58. [63]Metzger J. Schrimpf R. Philipp U. Distl O. Espression levels of LCORL are associated with body size in horses PLoS ONE 2013 8 e56497 10.1371/journal.pone.0056497 23418579 PMC3572084 · DOI
  59. [64]Mackiewicz D. Oliveira P.M.C. Oliveira S.M. Cebrat S. Distribution of Recombination Hotspots in the Human Genome–A Comparison of Computer Simulations with Real Data PLoS ONE 2013 8 e65272 10.1371/journal.pone.0065272 23776462 PMC3679075 · DOI
  60. [65]Eisen D.P. Osthoff M. If there is an evolutionary selection pressure for the high frequency of MBL2 polymorphisms, what is it? Clin. Exp. Immunol. 2014 176 165 171 10.1111/cei.12241 24255984 PMC3992028 · DOI
  61. [66]Fijarczyk A. Babik W. Detecting balancing selection in genomes: Limits and Prospects Mol. Ecol. 2015 24 3529 3545 10.1111/mec.13226 25943689 · DOI
  62. [67]Wang X. Li G. Ruan D. Zhuang Z. Ding R. Quan J. Wang S. Jiang Y. Huang J. Gu T. Runs of Homozygosity Uncover Potential Functional-Altering Mutation Associated With Body Weight and Length in Two Duroc Pig Lines Front. Vet. Sci. 2022 9 832633 10.3389/fvets.2022.832633 35350434 PMC8957889 · DOI
  63. [68]Ke T. Gomez C.R. Mateus H.E. Castano J.A. Wang Q.K. Novel CACNA1S mutation causes autosomal dominant hypokalemic periodic paralysis in a South American family J. Hum. Genet. 2009 54 660 664 10.1038/jhg.2009.92 19779499 · DOI
  64. [69]Sintas C. Carreño O. Fernàndez-Castillo N. Corominas R. Vila-Pueyo M. Toma C. Cuenca-León E. Barroeta I. Roig C. Volpini V. Mutation Spectrum in the CACNA1A Gene in 49 Patients with Episodic Ataxia Sci. Rep. 2017 7 2514 10.1038/s41598-017-02554-x 28566750 PMC5451382 · DOI
  65. [70]Algahtani H. Shirah B. Algahtani R. Al-Qahtani M.H. Abdulkareem A.A. Naseer M.I. A novel mutation in CACNA1A gene in a Saudi female with episodic ataxia type 2 with no response to acetazolamide or 4-aminopyridine Intractable Rare Dis. Res. 2019 8 67 71 10.5582/irdr.2018.01133 30881862 PMC6409113 · DOI
  66. [71]Ablondi M. Viklund A. Lindgren G. Eriksson S. Mikko S. Signatures of selection in the genome of Swedish warmblood horses selected for sport performance BMC Genom. 2019 20 717 10.1186/s12864-019-6079-1 PMC6751828 31533613 · DOI
  67. [72]Macario A.J.L. Grippo T.M. Macario E.C. Genetic disorders involving molecular-chaperone genes: A perspective Genet. Med. 2005 7 3 12 10.1097/01.GIM.0000151351.11876.C3 15654222 · DOI
  68. [74]Chinchilla A. Lozano E. Daimi H. Esteban F.J. Crist C. Aranega A.E. Franco D. MicroRNA profiling during mouse ventricular maturation: A role for miR-27 modulating Mef2c expression Cardiovasc. Res. 2011 89 98 108 10.1093/cvr/cvq264 20736237 · DOI
  69. [75]Lozano-Velasco E. Contreras A. Crist C. Hernández-Torres F. Franco D. Aránega A.E. Pitx2c modulates Pax3 +/Pax7 + cell populations and regulates Pax3 expression by repressing miR27 expression during myogenesis Dev. Biol. 2011 357 165 168 10.1016/j.ydbio.2011.06.039 21749861 · DOI
  70. [76]Sun Q. Zhang Y. Yang G. Chen X. Zhang Y. Cao G. Wang J. Sun Y. Zhang P. Fan M. Transforming growth factor-β-regulated miR-24 promotes skeletal muscle differentiation Nucleic Acids. Res. 2008 36 2690 2699 10.1093/nar/gkn032 18353861 PMC2377434 · DOI
  71. [77]Hudson M.B. Woodworth-Hobbs M.E. Zheng B. Rahnert J.A. Blount M.A. Gooch J.L. Searles C.D. Price S.R. miR-23a is decreased during muscle atrophy by a mechanism that includes calcineurin signaling and exosome-mediated export Am. J. Physiol. Cell Physiol. 2014 306 C551 C558 10.1152/ajpcell.00266.2013 24336651 PMC3948973 · DOI · Paper page
  72. [78]Okamura T. Hashimoto Y. Osaka T. Senmaru T. Fukuda T. Hamaguchi M. Fukui M. miR-23b-3p acts as a counter-response against skeletal muscle atrophy J. Endocrinol. 2020 244 535 547 10.1530/JOE-19-0425 31958315 · DOI
  73. [79]Zhou M. Wang Q. Sun J. Li X. Xu L. Yang H. Shi H. Ning S. Chen L. Li Y. In silico detection and characteristics of novel microRNA genes in the Equus caballus genome using an integrated ab initio and comparative genomic approach Genomics 2009 94 125 131 10.1016/j.ygeno.2009.04.006 19406225 · DOI
  74. [80]Ferenčaković M. Solkner J. Curik I. Estimating autozygosity from high-throughput information: Effects of SNP density and genotyping errors Genet. Sel. Evol. 2013 45 42 10.1186/1297-9686-45-42 24168655 PMC4176748 · DOI

Cited by

Sorted by citations

Authors
Szmatoła, T., Gurgul, A., Jasielczuk, I., Oclon, E., Ropka-Molik, K., Stefaniuk-Szmukier, M., Polak, G., Tomczyk-Wrona, I., & Bugno-Poniewierska, M.
Affiliations
  • University of Agriculture in Krakow (PL)
  • Department of Animal Molecular Biology, National Research Institute of Animal Production, Krakowska 1, 32-083 Balice, Poland
  • Office of the Director for Scientific Affairs, National Research Institute of Animal Production, Krakowska 1, 32-083 Balice, Poland
  • National Research Institute of Animal Production (PL)
  • Department of Animal Reproduction, Anatomy and Genomics, University of Agriculture in Kraków, al. Mickiewicza 24/28, 30-059 Kraków, Poland
Corresponding author
Szmatoła, Tomasz
ORCID
Venue
Animals
Publisher
MDPI AG
Published
2022-11-25
Volume
12
Issue
23
Pages
3293
ISSN
2076-2615 (ISSN-L)
DOI
10.3390/ani12233293
PMC
PMC9736150
OpenAlex
W4310197312
Cited by
33
References
1
Citations by year
2026: 6 · 2025: 4 · 2024: 18 · 2023: 5
FWCI
4.07
Type
journal article
Language
en
Open access
Licence
Locations
  • Animals (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
“Directions for use and conservation of livestock genetic resources in sustainable development” co-financed by the National Research and Development Center (Poland) under the Strategic Research and Development Program: “Environment, Agriculture and Forestry”—BIOSTRATEG (BIOSTRATEG2/297267/14/NCBR/2016)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic and phenotypic traits in livestock
  • Health Sciences › Veterinary › Equine › Veterinary Equine Medical Research
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
Keywords
runs of homozygosity, horse breeds, genomic inbreeding coefficient, ROH islands, draft horses, light horses, muscle development genes

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review