Analyze Diet
Equine veterinary journal2020; 53(2); 306-315; doi: 10.1111/evj.13286

Candidate gene expression and coding sequence variants in Warmblood horses with myofibrillar myopathy.

Abstract: Myofibrillar myopathy (MFM) of unknown aetiology has recently been identified in Warmblood (WB) horses. In humans, 16 genes have been implicated in various MFM-like disorders. Objective: To identify variants in 16 MFM candidate genes and compare allele frequencies of all variants between MFM WB and non-MFM WB and coding variants with moderate or severe predicted effects in MFM WB with publicly available data of other breeds. To compare differential gene expression and muscle fibre contractile force between MFM and non-MFM WB. Methods: Case-control. Methods: 8 MFM WB, 8 non-MFM WB, 33 other WB, 32 Thoroughbreds, 80 Quarter Horses and 77 horses of other breeds in public databases. Methods: Variants were called within transcripts of 16 candidate genes using gluteal muscle mRNA sequences aligned to EquCab3.0 and allele frequencies compared by Fisher's exact test among MFM WB, non-MFM WB and public sequences across breeds. Candidate gene differential expression was determined between MFM and non-MFM WB by fitting a negative binomial generalised log-linear model per gene (false discovery rate <0.05). The maximal isometric force/cross-sectional area generated by isolated membrane-permeabilised muscle fibres was determined. Results: None of the 426 variants identified in 16 candidate genes were associated with MFM including 26 missense variants. Breed-specific differences existed in allele frequencies. Candidate gene differential expression and muscle fibre-specific force did not differ between MFM WB (143.1 ± 34.7 kPa) and non-MFM WB (140.2 ± 43.7 kPa) (P = .8). Conclusions: RNA-seq-only assays transcripts expressed in skeletal muscle. Other possible candidate genes were not evaluated. Conclusions: Evidence for association of variants with a disease is essential because coding sequence variants are common in the equine genome. Variants identified in MFM candidate genes, including two coding variants offered as commercial MFM equine genetic tests, did not associate with the WB MFM phenotype.
Publication Date: 2020-06-25 PubMed ID: 32453872PubMed Central: PMC7864122DOI: 10.1111/evj.13286Google 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

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.

The research article focuses on investigating potential genetic causes of myofibrillar myopathy (MFM), a muscle disorder in Warmblood (WB) horses. Despite identifying several genetic variants and conducting thorough genetic comparisons, the study found no direct association between these variants and MFM in Warmblood horses.

Methodology

  • The study was designed as a case-control type, with cases being Warmblood horses with MFM and controls as those without MFM.
  • Subjects used were 8 WBs with MFM, 8 without MFM, 33 other WBs, 32 thoroughbreds, 80 Quarter Horses, and data of 77 horses of various other breeds from public databases.
  • Gene sequencing was carried out for 16 genes that have been previously associated with MFM-like conditions in humans.
  • The methodology involved using gluteal muscle mRNA sequences that were compared using Fisher’s exact test between WB horses with and without MFM.

Results

  • The results showed that none of the 426 variants identified in the 16 genes studied were associated with MFM in WB horses.
  • Breed-specific differences in genetic variant frequencies were observed in the study.
  • No significant differences were found in gene expression or muscle fibre-specific forces between WB horses with and without MFM.

Conclusions

  • The study concludes that RNA sequencing alone, which only captures gene transcripts expressed in skeletal muscle, is limited in its application.
  • The lack of association between the 16 MFM candidate genes and the disease in WB suggests that other genes outside of these 16 may be implicated.
  • The researchers stress the importance of establishing clear evidence for the association of genetic variants with disease as many variants are common in the equine genome.
  • The study also casts doubt on the efficacy of commercial genetic tests for MFM in horses, as the study could not associate the disease with the two variants these tests commonly identify.

Cite This Article

APA
Williams ZJ, Velez-Irizarry D, Petersen JL, Ochala J, Finno CJ, Valberg SJ. (2020). Candidate gene expression and coding sequence variants in Warmblood horses with myofibrillar myopathy. Equine Vet J, 53(2), 306-315. https://doi.org/10.1111/evj.13286

Publication

ISSN: 2042-3306
NlmUniqueID: 0173320
Country: United States
Language: English
Volume: 53
Issue: 2
Pages: 306-315

Researcher Affiliations

Williams, Zoë J
  • Large Animal Clinical Sciences, Michigan State University, College of Veterinary Medicine, East Lansing, MI, USA.
Velez-Irizarry, Deborah
  • Large Animal Clinical Sciences, Michigan State University, College of Veterinary Medicine, East Lansing, MI, USA.
Petersen, Jessica L
  • Department of Animal Science, University of Nebraska Lincoln, Lincoln, NE, USA.
Ochala, Julien
  • Faculty of Life Sciences and Medicine, King's College London, London, UK.
Finno, Carrie J
  • University of California at Davis, School of Veterinary Medicine, Davis, CA, USA.
Valberg, Stephanie J
  • Large Animal Clinical Sciences, Michigan State University, College of Veterinary Medicine, East Lansing, MI, USA.

MeSH Terms

  • Animals
  • Case-Control Studies
  • Female
  • Gene Expression
  • Horse Diseases / genetics
  • Horses / genetics
  • Male
  • Muscle, Skeletal
  • Myopathies, Structural, Congenital / genetics
  • Myopathies, Structural, Congenital / veterinary

Grant Funding

  • L40 TR001136 / NCATS NIH HHS
  • L40TR001136 / NIH HHS
  • T32 OD011167 / NIH HHS
  • 5T32OD011167-14 & / NIH HHS
  • Mary Anne McPhail Endowment
  • Tracy A. Hammer Memorial Fellowship

Conflict of Interest Statement

CONFLICT OF INTEREST. No competing interests have been declared.

References

This article includes 87 references
  1. Valberg SJ, Nicholson AM, Lewis SS, Reardon RA, Finno CJ. Clinical and histopathological features of myofibrillar myopathy in Warmblood horses.. Equine Vet J 2017 Nov;49(6):739-745.
    pmc: PMC5640499pubmed: 28543538doi: 10.1111/evj.12702google scholar: lookup
  2. Lewis SS, Nicholson AM, Williams ZJ, Valberg SJ. Clinical characteristics and muscle glycogen concentrations in warmblood horses with polysaccharide storage myopathy.. Am J Vet Res 2017 Nov;78(11):1305-1312.
    pubmed: 29076373doi: 10.2460/ajvr.78.11.1305google scholar: lookup
  3. Williams ZJ, Bertels M, Valberg SJ. Muscle glycogen concentrations and response to diet and exercise regimes in Warmblood horses with type 2 Polysaccharide Storage Myopathy.. PLoS One 2018;13(9):e0203467.
  4. Selcen D, Ohno K, Engel AG. Myofibrillar myopathy: clinical, morphological and genetic studies in 63 patients.. Brain 2004 Feb;127(Pt 2):439-51.
    pubmed: 14711882doi: 10.1093/brain/awh052google scholar: lookup
  5. Schröder R, Schoser B. Myofibrillar myopathies: a clinical and myopathological guide.. Brain Pathol 2009 Jul;19(3):483-92.
  6. Shalaby S, Hayashi YK, Nonaka I, Noguchi S, Nishino I. Novel FHL1 mutations in fatal and benign reducing body myopathy.. Neurology 2009 Jan 27;72(4):375-6.
  7. Selcen D, Muntoni F, Burton BK, Pegoraro E, Sewry C, Bite AV, Engel AG. Mutation in BAG3 causes severe dominant childhood muscular dystrophy.. Ann Neurol 2009 Jan;65(1):83-9.
    pmc: PMC2639628pubmed: 19085932doi: 10.1002/ana.21553google scholar: lookup
  8. O'Grady GL, Best HA, Sztal TE, Schartner V, Sanjuan-Vazquez M, Donkervoort S, Abath Neto O, Sutton RB, Ilkovski B, Romero NB, Stojkovic T, Dastgir J, Waddell LB, Boland A, Hu Y, Williams C, Ruparelia AA, Maisonobe T, Peduto AJ, Reddel SW, Lek M, Tukiainen T, Cummings BB, Joshi H, Nectoux J, Brammah S, Deleuze JF, Ing VO, Ramm G, Ardicli D, Nowak KJ, Talim B, Topaloglu H, Laing NG, North KN, MacArthur DG, Friant S, Clarke NF, Bryson-Richardson RJ, Bönnemann CG, Laporte J, Cooper ST. Variants in the Oxidoreductase PYROXD1 Cause Early-Onset Myopathy with Internalized Nuclei and Myofibrillar Disorganization.. Am J Hum Genet 2016 Nov 3;99(5):1086-1105.
    pmc: PMC5097943pubmed: 27745833doi: 10.1016/j.ajhg.2016.09.005google scholar: lookup
  9. Guglielmi V, Tomelleri G, Vattemi G. Myofibrillar myopathies through the microscope: from diagnosis to molecular pathogenesis.. Microscopie 2018;29:15–22.
  10. Frank D, Kuhn C, Katus HA, Frey N. Role of the sarcomeric Z-disc in the pathogenesis of cardiomyopathy.. Future Cardiol 2007 Nov;3(6):611-22.
    pubmed: 19804282doi: 10.2217/14796678.3.6.611google scholar: lookup
  11. Selcen D. Myofibrillar myopathies.. Neuromuscul Disord 2011 Mar;21(3):161-71.
    pmc: PMC3052736pubmed: 21256014doi: 10.1016/j.nmd.2010.12.007google scholar: lookup
  12. Olivé M, Kley RA. Myofibrillar myopathies. In: Neuromuscular imaging. New York: Springer; 2013. p. 247–65.
  13. Vorgerd M, van der Ven PF, Bruchertseifer V, Löwe T, Kley RA, Schröder R, Lochmüller H, Himmel M, Koehler K, Fürst DO, Huebner A. A mutation in the dimerization domain of filamin c causes a novel type of autosomal dominant myofibrillar myopathy.. Am J Hum Genet 2005 Aug;77(2):297-304.
    pmc: PMC1224531pubmed: 15929027doi: 10.1086/431959google scholar: lookup
  14. Griggs R, Vihola A, Hackman P, Talvinen K, Haravuori H, Faulkner G, Eymard B, Richard I, Selcen D, Engel A, Carpen O, Udd B. Zaspopathy in a large classic late-onset distal myopathy family.. Brain 2007 Jun;130(Pt 6):1477-84.
    pubmed: 17337483doi: 10.1093/brain/awm006google scholar: lookup
  15. Selcen D, Engel AG. Myofibrillar myopathy caused by novel dominant negative alpha B-crystallin mutations.. Ann Neurol 2003 Dec;54(6):804-10.
    pubmed: 14681890doi: 10.1002/ana.10767google scholar: lookup
  16. Pénisson-Besnier I, Talvinen K, Dumez C, Vihola A, Dubas F, Fardeau M, Hackman P, Carpen O, Udd B. Myotilinopathy in a family with late onset myopathy.. Neuromuscul Disord 2006 Jul;16(7):427-31.
    pubmed: 16793270doi: 10.1016/j.nmd.2006.04.009google scholar: lookup
  17. Hayashi YK. [Myofibrillar myopathy].. Brain Nerve 2011 Nov;63(11):1179-88.
    pubmed: 22068470
  18. Dalakas MC, Dagvadorj A, Goudeau B, Park KY, Takeda K, Simon-Casteras M, Vasconcelos O, Sambuughin N, Shatunov A, Nagle JW, Sivakumar K, Vicart P, Goldfarb LG. Progressive skeletal myopathy, a phenotypic variant of desmin myopathy associated with desmin mutations.. Neuromuscul Disord 2003 Mar;13(3):252-8.
    pubmed: 12609507doi: 10.1016/s0960-8966(02)00271-7google scholar: lookup
  19. De Bleecker JL, Engel AG, Ertl BB. Myofibrillar myopathy with abnormal foci of desmin positivity. II. Immunocytochemical analysis reveals accumulation of multiple other proteins.. J Neuropathol Exp Neurol 1996 May;55(5):563-77.
  20. Nakano S, Engel AG, Waclawik AJ, Emslie-Smith AM, Busis NA. Myofibrillar myopathy with abnormal foci of desmin positivity. I. Light and electron microscopy analysis of 10 cases.. J Neuropathol Exp Neurol 1996 May;55(5):549-62.
  21. Schröder R, Goudeau B, Simon MC, Fischer D, Eggermann T, Clemen CS, Li Z, Reimann J, Xue Z, Rudnik-Schöneborn S, Zerres K, van der Ven PF, Fürst DO, Kunz WS, Vicart P. On noxious desmin: functional effects of a novel heterozygous desmin insertion mutation on the extrasarcomeric desmin cytoskeleton and mitochondria.. Hum Mol Genet 2003 Mar 15;12(6):657-69.
    pubmed: 12620971doi: 10.1093/hmg/ddg060google scholar: lookup
  22. Vicart P, Caron A, Guicheney P, Li Z, Prévost MC, Faure A, Chateau D, Chapon F, Tomé F, Dupret JM, Paulin D, Fardeau M. A missense mutation in the alphaB-crystallin chaperone gene causes a desmin-related myopathy.. Nat Genet 1998 Sep;20(1):92-5.
    pubmed: 9731540doi: 10.1038/1765google scholar: lookup
  23. Bova MP, Yaron O, Huang Q, Ding L, Haley DA, Stewart PL, Horwitz J. Mutation R120G in alphaB-crystallin, which is linked to a desmin-related myopathy, results in an irregular structure and defective chaperone-like function.. Proc Natl Acad Sci U S A 1999 May 25;96(11):6137-42.
    pmc: PMC26848pubmed: 10339554doi: 10.1073/pnas.96.11.6137google scholar: lookup
  24. Selcen D, Engel AG. Mutations in myotilin cause myofibrillar myopathy.. Neurology 2004 Apr 27;62(8):1363-71.
  25. Olivé M, Goldfarb LG, Shatunov A, Fischer D, Ferrer I. Myotilinopathy: refining the clinical and myopathological phenotype.. Brain 2005 Oct;128(Pt 10):2315-26.
    pubmed: 15947064doi: 10.1093/brain/awh576google scholar: lookup
  26. Lin X, Ruiz J, Bajraktari I, Ohman R, Banerjee S, Gribble K, Kaufman JD, Wingfield PT, Griggs RC, Fischbeck KH, Mankodi A. Z-disc-associated, alternatively spliced, PDZ motif-containing protein (ZASP) mutations in the actin-binding domain cause disruption of skeletal muscle actin filaments in myofibrillar myopathy.. J Biol Chem 2014 May 9;289(19):13615-26.
    pmc: PMC4036366pubmed: 24668811doi: 10.1074/jbc.m114.550418google scholar: lookup
  27. Fürst DO, Goldfarb LG, Kley RA, Vorgerd M, Olivé M, van der Ven PF. Filamin C-related myopathies: pathology and mechanisms.. Acta Neuropathol 2013 Jan;125(1):33-46.
    pmc: PMC5127197pubmed: 23109048doi: 10.1007/s00401-012-1054-9google scholar: lookup
  28. Schänzer A, Rupp S, Gräf S, Zengeler D, Jux C, Akintürk H, Gulatz L, Mazhari N, Acker T, Van Coster R, Garvalov BK, Hahn A. Dysregulated autophagy in restrictive cardiomyopathy due to Pro209Leu mutation in BAG3.. Mol Genet Metab 2018 Mar;123(3):388-399.
    pubmed: 29338979doi: 10.1016/j.ymgme.2018.01.001google scholar: lookup
  29. Straussberg R, Schottmann G, Sadeh M, Gill E, Seifert F, Halevy A, Qassem K, Rendu J, van der Ven PF, Stenzel W, Schuelke M. Kyphoscoliosis peptidase (KY) mutation causes a novel congenital myopathy with core targetoid defects.. Acta Neuropathol 2016 Sep;132(3):475-8.
    pubmed: 27484770doi: 10.1007/s00401-016-1602-9google scholar: lookup
  30. Baker J, Riley G, Romero MR, Haynes AR, Hilton H, Simon M, Hancock J, Tateossian H, Ripoll VM, Blanco G. Identification of a Z-band associated protein complex involving KY, FLNC and IGFN1.. Exp Cell Res 2010 Jul 1;316(11):1856-70.
    pubmed: 20206623doi: 10.1016/j.yexcr.2010.02.027google scholar: lookup
  31. Fichna JP, Maruszak A, Żekanowski C. Myofibrillar myopathy in the genomic context.. J Appl Genet 2018 Nov;59(4):431-439.
    pubmed: 30203143doi: 10.1007/s13353-018-0463-4google scholar: lookup
  32. Ruparelia AA, Oorschot V, Vaz R, Ramm G, Bryson-Richardson RJ. Zebrafish models of BAG3 myofibrillar myopathy suggest a toxic gain of function leading to BAG3 insufficiency.. Acta Neuropathol 2014 Dec;128(6):821-33.
    pubmed: 25273835doi: 10.1007/s00401-014-1344-5google scholar: lookup
  33. Joanne P, Chourbagi O, Hourdé C, Ferry A, Butler-Browne G, Vicart P, Dumonceaux J, Agbulut O. Viral-mediated expression of desmin mutants to create mouse models of myofibrillar myopathy.. Skelet Muscle 2013 Feb 20;3(1):4.
    pmc: PMC3599656pubmed: 23425003doi: 10.1186/2044-5040-3-4google scholar: lookup
  34. Garvey SM, Miller SE, Claflin DR, Faulkner JA, Hauser MA. Transgenic mice expressing the myotilin T57I mutation unite the pathology associated with LGMD1A and MFM.. Hum Mol Genet 2006 Aug 1;15(15):2348-62.
    pubmed: 16801328doi: 10.1093/hmg/ddl160google scholar: lookup
  35. Duff RM, Tay V, Hackman P, Ravenscroft G, McLean C, Kennedy P, Steinbach A, Schöffler W, van der Ven PFM, Fürst DO, Song J, Djinović-Carugo K, Penttilä S, Raheem O, Reardon K, Malandrini A, Gambelli S, Villanova M, Nowak KJ, Williams DR, Landers JE, Brown RH Jr, Udd B, Laing NG. Mutations in the N-terminal actin-binding domain of filamin C cause a distal myopathy.. Am J Hum Genet 2011 Jun 10;88(6):729-740.
    pmc: PMC3113346pubmed: 21620354doi: 10.1016/j.ajhg.2011.04.021google scholar: lookup
  36. Vicart P, Caron A, Guicheney P, Li Z, Prévost MC, Faure A, Chateau D, Chapon F, Tomé F, Dupret JM, Paulin D, Fardeau M. A missense mutation in the alphaB-crystallin chaperone gene causes a desmin-related myopathy.. Nat Genet 1998 Sep;20(1):92-5.
    pubmed: 9731540doi: 10.1038/1765google scholar: lookup
  37. Sjöberg G, Saavedra-Matiz CA, Rosen DR, Wijsman EM, Borg K, Horowitz SH, Sejersen T. A missense mutation in the desmin rod domain is associated with autosomal dominant distal myopathy, and exerts a dominant negative effect on filament formation.. Hum Mol Genet 1999 Nov;8(12):2191-8.
    pubmed: 10545598doi: 10.1093/hmg/8.12.2191google scholar: lookup
  38. Goldfarb LG, Park KY, Cervenáková L, Gorokhova S, Lee HS, Vasconcelos O, Nagle JW, Semino-Mora C, Sivakumar K, Dalakas MC. Missense mutations in desmin associated with familial cardiac and skeletal myopathy.. Nat Genet 1998 Aug;19(4):402-3.
    pubmed: 9697706doi: 10.1038/1300google scholar: lookup
  39. Benna C, Peron S, Rizzo G, Faulkner G, Megighian A, Perini G, Tognon G, Valle G, Reggiani C, Costa R, Zordan MA. Post-transcriptional silencing of the Drosophila homolog of human ZASP: a molecular and functional analysis.. Cell Tissue Res 2009 Sep;337(3):463-76.
    pubmed: 19603185doi: 10.1007/s00441-009-0813-ygoogle scholar: lookup
  40. Ramspacher C, Steed E, Boselli F, Ferreira R, Faggianelli N, Roth S, Spiegelhalter C, Messaddeq N, Trinh L, Liebling M, Chacko N, Tessadori F, Bakkers J, Laporte J, Hnia K, Vermot J. Developmental Alterations in Heart Biomechanics and Skeletal Muscle Function in Desmin Mutants Suggest an Early Pathological Root for Desminopathies.. Cell Rep 2015 Jun 16;11(10):1564-76.
    pubmed: 26051936doi: 10.1016/j.celrep.2015.05.010google scholar: lookup
  41. Fujita M, Mitsuhashi H, Isogai S, Nakata T, Kawakami A, Nonaka I, Noguchi S, Hayashi YK, Nishino I, Kudo A. Filamin C plays an essential role in the maintenance of the structural integrity of cardiac and skeletal muscles, revealed by the medaka mutant zacro.. Dev Biol 2012 Jan 1;361(1):79-89.
    pubmed: 22020047doi: 10.1016/j.ydbio.2011.10.008google scholar: lookup
  42. Fichna JP, Macias A, Piechota M, Korostyński M, Potulska-Chromik A, Redowicz MJ, Zekanowski C. Whole-exome sequencing identifies novel pathogenic mutations and putative phenotype-influencing variants in Polish limb-girdle muscular dystrophy patients.. Hum Genomics 2018 Jul 3;12(1):34.
    pmc: PMC6029161pubmed: 29970176doi: 10.1186/s40246-018-0167-1google scholar: lookup
  43. Jones MK, Grau KR, Costantini V, Kolawole AO, Graaf D, Freiden P. Myofibrillar myopathies: new developments.. HSS Public Access 2013;26:527–35.
  44. Feldkirchner S, Walter MC, Müller S, Kubny C, Krause S, Kress W, Hanisch FG, Schoser B, Schessl J. Proteomic characterization of aggregate components in an intrafamilial variable FHL1-associated myopathy.. Neuromuscul Disord 2013 May;23(5):418-26.
    pubmed: 23489660doi: 10.1016/j.nmd.2013.02.006google scholar: lookup
  45. Schessl J, Taratuto AL, Sewry C, Battini R, Chin SS, Maiti B, Dubrovsky AL, Erro MG, Espada G, Robertella M, Saccoliti M, Olmos P, Bridges LR, Standring P, Hu Y, Zou Y, Swoboda KJ, Scavina M, Goebel HH, Mitchell CA, Flanigan KM, Muntoni F, Bönnemann CG. Clinical, histological and genetic characterization of reducing body myopathy caused by mutations in FHL1.. Brain 2009 Feb;132(Pt 2):452-64.
    pmc: PMC2724920pubmed: 19181672doi: 10.1093/brain/awn325google scholar: lookup
  46. Stojkovic T, Bedat-Millet A, Chapon F, Malfatti E, Romero N, Brochier G. A novel DNAJB6 mutation causing variable phenotypic expression: from distal myopathy to limb girdle muscular dystrophy.. Neuromuscul Disord 2016;26:93–4.
  47. Winter L, Goldmann WH. Biomechanical characterization of myofibrillar myopathies.. Cell Biol Int 2015 Apr;39(4):361-3.
    pubmed: 25264173doi: 10.1002/cbin.10384google scholar: lookup
  48. Winter L, Wiche G. The many faces of plectin and plectinopathies: pathology and mechanisms.. Acta Neuropathol 2013 Jan;125(1):77-93.
    pubmed: 22864774doi: 10.1007/s00401-012-1026-0google scholar: lookup
  49. Bonakdar N, Schilling A, Spörrer M, Lennert P, Mainka A, Winter L, Walko G, Wiche G, Fabry B, Goldmann WH. Determining the mechanical properties of plectin in mouse myoblasts and keratinocytes.. Exp Cell Res 2015 Feb 15;331(2):331-7.
    pmc: PMC4325136pubmed: 25447312doi: 10.1016/j.yexcr.2014.10.001google scholar: lookup
  50. Dhawan PS, Liewluck T, Knapik J, Milone M. Myofibrillar myopathy due to dominant LMNA mutations: A report of 2 cases.. Muscle Nerve 2018 May;57(5):E124-E126.
    pubmed: 29211919doi: 10.1002/mus.26036google scholar: lookup
  51. Reddy HM, Cho KA, Lek M, Estrella E, Valkanas E, Jones MD, Mitsuhashi S, Darras BT, Amato AA, Lidov HG, Brownstein CA, Margulies DM, Yu TW, Salih MA, Kunkel LM, MacArthur DG, Kang PB. The sensitivity of exome sequencing in identifying pathogenic mutations for LGMD in the United States.. J Hum Genet 2017 Feb;62(2):243-252.
    pmc: PMC5266644pubmed: 27708273doi: 10.1038/jhg.2016.116google scholar: lookup
  52. Selcen D. Severe congenital actin related myopathy with myofibrillar myopathy features.. Neuromuscul Disord 2015 Jun;25(6):488-92.
    pubmed: 25913210doi: 10.1016/j.nmd.2015.04.002google scholar: lookup
  53. Cortese A, Laurà M, Casali C, Nishino I, Hayashi YK, Magri S, Taroni F, Stuani C, Saveri P, Moggio M, Ripolone M, Prelle A, Pisciotta C, Sagnelli A, Pichiecchio A, Reilly MM, Buratti E, Pareyson D. Altered TDP-43-dependent splicing in HSPB8-related distal hereditary motor neuropathy and myofibrillar myopathy.. Eur J Neurol 2018 Jan;25(1):154-163.
    pubmed: 29029362doi: 10.1111/ene.13478google scholar: lookup
  54. Niu Z, Pontifex CS, Berini S, Hamilton LE, Naddaf E, Wieben E, Aleff RA, Martens K, Gruber A, Engel AG, Pfeffer G, Milone M. Myopathy With SQSTM1 and TIA1 Variants: Clinical and Pathological Features.. Front Neurol 2018;9:147.
    pmc: PMC5868303pubmed: 29599744doi: 10.3389/fneur.2018.00147google scholar: lookup
  55. Richards S, Aziz N, Bale S, Bick D, Das S, Gastier-Foster J, Grody WW, Hegde M, Lyon E, Spector E, Voelkerding K, Rehm HL. Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology.. Genet Med 2015 May;17(5):405-24.
    pmc: PMC4544753pubmed: 25741868doi: 10.1038/gim.2015.30google scholar: lookup
  56. Valberg SJ, Soave K, Williams ZJ, Perumbakkam S, Schott M, Finno CJ, Petersen JL, Fenger C, Autry JM, Thomas DD. Coding sequences of sarcoplasmic reticulum calcium ATPase regulatory peptides and expression of calcium regulatory genes in recurrent exertional rhabdomyolysis.. J Vet Intern Med 2019 Mar;33(2):933-941.
    pmc: PMC6430904pubmed: 30720217doi: 10.1111/jvim.15425google scholar: lookup
  57. Andrews. SnFastQC: a quality control tool for high throughput sequence data.. Babraham Bioinforma 2010.
  58. Ewels P, Magnusson M, Lundin S, Käller M. MultiQC: summarize analysis results for multiple tools and samples in a single report.. Bioinformatics 2016 Oct 1;32(19):3047-8.
  59. Bolger AM, Lohse M, Usadel B. Trimmomatic: a flexible trimmer for Illumina sequence data.. Bioinformatics 2014 Aug 1;30(15):2114-20.
  60. Smeds L, Künstner A. ConDeTri--a content dependent read trimmer for Illumina data.. PLoS One 2011;6(10):e26314.
  61. Langmead B, Salzberg SL. Fast gapped-read alignment with Bowtie 2.. Nat Methods 2012 Mar 4;9(4):357-9.
    pmc: PMC3322381pubmed: 22388286doi: 10.1038/nmeth.1923google scholar: lookup
  62. Trapnell C, Pachter L, Salzberg SL. TopHat: discovering splice junctions with RNA-Seq.. Bioinformatics 2009 May 1;25(9):1105-11.
  63. Li H, Handsaker B, Wysoker A, Fennell T, Ruan J, Homer N, Marth G, Abecasis G, Durbin R. The Sequence Alignment/Map format and SAMtools.. Bioinformatics 2009 Aug 15;25(16):2078-9.
  64. Trapnell C, Williams BA, Pertea G, Mortazavi A, Kwan G, van Baren MJ, Salzberg SL, Wold BJ, Pachter L. Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation.. Nat Biotechnol 2010 May;28(5):511-5.
    pmc: PMC3146043pubmed: 20436464doi: 10.1038/nbt.1621google scholar: lookup
  65. Anders S, Pyl PT, Huber W. HTSeq--a Python framework to work with high-throughput sequencing data.. Bioinformatics 2015 Jan 15;31(2):166-9.
  66. Li H. A statistical framework for SNP calling, mutation discovery, association mapping and population genetical parameter estimation from sequencing data.. Bioinformatics 2011 Nov 1;27(21):2987-93.
  67. 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.
  68. McLaren W, Gil L, Hunt SE, Riat HS, Ritchie GR, Thormann A, Flicek P, Cunningham F. The Ensembl Variant Effect Predictor.. Genome Biol 2016 Jun 6;17(1):122.
    pmc: PMC4893825pubmed: 27268795doi: 10.1186/s13059-016-0974-4google scholar: lookup
  69. Robinson MD, Oshlack A. A scaling normalization method for differential expression analysis of RNA-seq data.. Genome Biol 2010;11(3):R25.
    pmc: PMC2864565pubmed: 20196867doi: 10.1186/gb-2010-11-3-r25google scholar: lookup
  70. Robinson MD, McCarthy DJ, Smyth GK. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data.. Bioinformatics 2010 Jan 1;26(1):139-40.
  71. Pestronk GJ, Kaiser KK, Brooke MH. ATPase stain in muscle histochemistry.. Muscle Nerve 1992 Feb;15(2):258.
    pubmed: 1372392
  72. D'Avila F, Meregalli M, Lupoli S, Barcella M, Orro A, De Santis F, Sitzia C, Farini A, D'Ursi P, Erratico S, Cristofani R, Milanesi L, Braga D, Cusi D, Poletti A, Barlassina C, Torrente Y. Exome sequencing identifies variants in two genes encoding the LIM-proteins NRAP and FHL1 in an Italian patient with BAG3 myofibrillar myopathy.. J Muscle Res Cell Motil 2016 Jun;37(3):101-15.
    pmc: PMC5010835pubmed: 27443559doi: 10.1007/s10974-016-9451-7google scholar: lookup
  73. Nishikawa A, Mitsuhashi S, Miyata N, Nishino I. Targeted massively parallel sequencing and histological assessment of skeletal muscles for the molecular diagnosis of inherited muscle disorders.. J Med Genet 2017 Feb;54(2):104-110.
    pubmed: 27600705doi: 10.1136/jmedgenet-2016-104073google scholar: lookup
  74. Gonorazky H, Liang M, Cummings B, Lek M, Micallef J, Hawkins C, Basran R, Cohn R, Wilson MD, MacArthur D, Marshall CR, Ray PN, Dowling JJ. RNAseq analysis for the diagnosis of muscular dystrophy.. Ann Clin Transl Neurol 2016 Jan;3(1):55-60.
    pmc: PMC4704476pubmed: 26783550doi: 10.1002/acn3.267google scholar: lookup
  75. Griffioen M, Arindrarto W, Borràs D, van Diessen SAME, van der Meijden ED, Honders MW. Whole transcriptome sequencing (RNAseq) as a comprehensive, cost-efficient diagnostic tool for acute myeloid leukemia.. Blood 2016;128:1701.
    pubmed: 0
  76. Greif PA, Eck SH, Konstandin NP, Benet-Pagès A, Ksienzyk B, Dufour A, Vetter AT, Popp HD, Lorenz-Depiereux B, Meitinger T, Bohlander SK, Strom TM. Identification of recurring tumor-specific somatic mutations in acute myeloid leukemia by transcriptome sequencing.. Leukemia 2011 May;25(5):821-7.
    pubmed: 21339757doi: 10.1038/leu.2011.19google scholar: lookup
  77. Jagannathan V, Gerber V, Rieder S, Tetens J, Thaller G, Drögemüller C, Leeb T. Comprehensive characterization of horse genome variation by whole-genome sequencing of 88 horses.. Anim Genet 2019 Feb;50(1):74-77.
    pubmed: 30525216doi: 10.1111/age.12753google scholar: lookup
  78. Vaser R, Adusumalli S, Leng SN, Sikic M, Ng PC. SIFT missense predictions for genomes.. Nat Protoc 2016 Jan;11(1):1-9.
    pubmed: 26633127doi: 10.1038/nprot.2015.123google scholar: lookup
  79. Sim NL, Kumar P, Hu J, Henikoff S, Schneider G, Ng PC. SIFT web server: predicting effects of amino acid substitutions on proteins.. Nucleic Acids Res 2012 Jul;40(Web Server issue):W452-7.
    pmc: PMC3394338pubmed: 22689647doi: 10.1093/nar/gks539google scholar: lookup
  80. Chevessier F, Schuld J, Orfanos Z, Plank AC, Wolf L, Maerkens A, Unger A, Schlötzer-Schrehardt U, Kley RA, Von Hörsten S, Marcus K, Linke WA, Vorgerd M, van der Ven PF, Fürst DO, Schröder R. Myofibrillar instability exacerbated by acute exercise in filaminopathy.. Hum Mol Genet 2015 Dec 20;24(25):7207-20.
    pubmed: 26472074doi: 10.1093/hmg/ddv421google scholar: lookup
  81. Carvalho A, Lacene E, Perez M, Alves B, Feder D, Fonseca F. mRna expression genes associated to myofibrillar myopathies – preliminary study (P5.4–015).. Neurology 2019;92:P5.4–015.
  82. Ward TL, Valberg SJ, Adelson DL, Abbey CA, Binns MM, Mickelson JR. Glycogen branching enzyme (GBE1) mutation causing equine glycogen storage disease IV.. Mamm Genome 2004 Jul;15(7):570-7.
    pubmed: 15366377doi: 10.1007/s00335-004-2369-1google scholar: lookup
  83. Barrey E, Mucher E, Jeansoule N, Larcher T, Guigand L, Herszberg B, Chaffaux S, Guérin G, Mata X, Benech P, Canale M, Alibert O, Maltere P, Gidrol X. Gene expression profiling in equine polysaccharide storage myopathy revealed inflammation, glycogenesis inhibition, hypoxia and mitochondrial dysfunctions.. BMC Vet Res 2009 Aug 7;5:29.
    pmc: PMC2741442pubmed: 19664222doi: 10.1186/1746-6148-5-29google scholar: lookup
  84. Hong EP, Park JW. Sample size and statistical power calculation in genetic association studies.. Genomics Inform 2012 Jun;10(2):117-22.
    pmc: PMC3480678pubmed: 23105939doi: 10.5808/gi.2012.10.2.117google scholar: lookup
  85. Coulton GR, Curtin NA, Morgan JE, Partridge TA. The mdx mouse skeletal muscle myopathy: II. Contractile properties.. Neuropathol Appl Neurobiol 1988 Jul-Aug;14(4):299-314.
  86. Buono S, Ross JA, Tasfaout H, Levy Y, Kretz C, Tayefeh L, Matson J, Guo S, Kessler P, Monia BP, Bitoun M, Ochala J, Laporte J, Cowling BS. Reducing dynamin 2 (DNM2) rescues DNM2-related dominant centronuclear myopathy.. Proc Natl Acad Sci U S A 2018 Oct 23;115(43):11066-11071.
    pmc: PMC6205463pubmed: 30291191doi: 10.1073/pnas.1808170115google scholar: lookup
  87. Tinklenberg JA, Siebers EM, Beatka MJ, Meng H, Yang L, Zhang Z, Ross JA, Ochala J, Morris C, Owens JM, Laing NG, Nowak KJ, Lawlor MW. Myostatin inhibition using mRK35 produces skeletal muscle growth and tubular aggregate formation in wild type and TgACTA1D286G nemaline myopathy mice.. Hum Mol Genet 2018 Feb 15;27(4):638-648.
    pmc: PMC5886278pubmed: 29293963doi: 10.1093/hmg/ddx431google scholar: lookup

Citations

This article has been cited 6 times.
  1. Valberg SJ, Velez-Irizarry D, Williams ZJ, Henry ML, Iglewski H, Herrick K, Fenger C. Enriched Pathways of Calcium Regulation, Cellular/Oxidative Stress, Inflammation, and Cell Proliferation Characterize Gluteal Muscle of Standardbred Horses between Episodes of Recurrent Exertional Rhabdomyolysis. Genes (Basel) 2022 Oct 14;13(10).
    doi: 10.3390/genes13101853pubmed: 36292738google scholar: lookup
  2. Ochala J, Finno CJ, Valberg SJ. Myofibre Hyper-Contractility in Horses Expressing the Myosin Heavy Chain Myopathy Mutation, MYH1(E321G). Cells 2021 Dec 6;10(12).
    doi: 10.3390/cells10123428pubmed: 34943936google scholar: lookup
  3. Williams ZJ, Velez-Irizarry D, Gardner K, Valberg SJ. Integrated proteomic and transcriptomic profiling identifies aberrant gene and protein expression in the sarcomere, mitochondrial complex I, and the extracellular matrix in Warmblood horses with myofibrillar myopathy. BMC Genomics 2021 Jun 11;22(1):438.
    doi: 10.1186/s12864-021-07758-0pubmed: 34112090google scholar: lookup
  4. Aldrich K, Velez-Irizarry D, Fenger C, Schott M, Valberg SJ. Pathways of calcium regulation, electron transport, and mitochondrial protein translation are molecular signatures of susceptibility to recurrent exertional rhabdomyolysis in Thoroughbred racehorses. PLoS One 2021;16(2):e0244556.
    doi: 10.1371/journal.pone.0244556pubmed: 33566847google scholar: lookup
  5. Valberg SJ, Finno CJ, Henry ML, Schott M, Velez-Irizarry D, Peng S, McKenzie EC, Petersen JL. Commercial genetic testing for type 2 polysaccharide storage myopathy and myofibrillar myopathy does not correspond to a histopathological diagnosis. Equine Vet J 2021 Jul;53(4):690-700.
    doi: 10.1111/evj.13345pubmed: 32896939google scholar: lookup
  6. Valberg SJ, Velez-Irizarry D, Williams ZJ, Pagan JD, Mesquita V, Waldridge B, Maresca-Fichter H. Novel Expression of GLUT3, GLUT6 and GLUT10 in Equine Gluteal Muscle Following Glycogen-Depleting Exercise: Impact of Dietary Starch and Fat. Metabolites 2023 Jun 1;13(6).
    doi: 10.3390/metabo13060718pubmed: 37367876google scholar: lookup