S. Thomas, D. Gaier, and A. Bowling, Myth and mystery: the curly horse in America, C.S. Fund Inc, 1989.

M. Diribarne, X. Mata, C. Chantry-darmon, A. Vaiman, G. Auvinet et al., A Deletion in Exon 9 of the LIPH Gene Is Responsible for the Rex Hair Coat Phenotype in Rabbits (Oryctolagus cuniculus), PLoS ONE, vol.16, issue.4, p.19281, 2011.
DOI : 10.1371/journal.pone.0019281.t003
URL : https://hal.archives-ouvertes.fr/hal-00973752

D. Scott, Skin of the neck, mane and tail of the curly horse, Equine Veterinary Education, vol.11, issue.4, pp.201-207, 2004.
DOI : 10.1016/B0-72-162571-1/50002-7

W. Mitlehner, H. Mitlehner, and B. Niggemann, Horse Allergy: Curly Horses Allow Horse Allergic Riders To Ride Again, Pneumologie, vol.69, issue.12, pp.711-719, 2015.
DOI : 10.1055/s-0034-1393396

A. Bowling, Population genetics of curly horses Genetic Conservation of Domestic Livestock, Wallingford: AB International, pp.186-202, 1990.

D. Sponenberg, Dominant curly coat in horses, Genetics Selection Evolution, vol.22, issue.2, pp.257-60, 1990.
DOI : 10.1186/1297-9686-22-2-257
URL : https://hal.archives-ouvertes.fr/hal-00893841

L. Blakeslee, R. Hudson, and H. Hunt, CURLY COAT OF HORSES*, Journal of Heredity, vol.34, issue.4, pp.115-123, 1943.
DOI : 10.1093/oxfordjournals.jhered.a105260

C. Wade, E. Giulotto, S. Sigurdsson, M. Zoli, S. Gnerre et al., Genome Sequence, Comparative Analysis, and Population Genetics of the Domestic Horse, Science, vol.179, issue.4, pp.865-872, 2009.
DOI : 10.1534/genetics.108.088807
URL : https://hal.archives-ouvertes.fr/hal-01193388

X. Zhou, P. Carbonetto, and M. Stephens, Polygenic Modeling with Bayesian Sparse Linear Mixed Models, PLoS Genetics, vol.4, issue.2, p.1003264, 2013.
DOI : 10.1371/journal.pgen.1003264.s010
URL : http://doi.org/10.1371/journal.pgen.1003264

M. Sargolzaei, J. Chesnais, and F. Schenkel, A new approach for efficient genotype imputation using information from relatives, BMC Genomics, vol.15, issue.1, p.478, 2014.
DOI : 10.1186/1471-2164-15-478
URL : http://doi.org/10.1186/1471-2164-15-478

H. Li and R. Durbin, Fast and accurate long-read alignment with Burrows???Wheeler transform, Bioinformatics, vol.26, issue.5, pp.589-95, 2010.
DOI : 10.1093/bioinformatics/btp698
URL : https://academic.oup.com/bioinformatics/article-pdf/26/5/589/16896917/btp698.pdf

M. Depristo, E. Banks, R. Poplin, K. Garimella, J. Maguire et al., A framework for variation discovery and genotyping using next-generation DNA sequencing data, Nature Genetics, vol.8, issue.5, pp.491-499, 2011.
DOI : 10.1126/science.1177074

H. Li, B. Handsaker, A. Wysoker, T. Fennell, J. Ruan et al., The Sequence Alignment/Map format and SAMtools, Bioinformatics, vol.25, issue.16, pp.2078-2087, 2009.
DOI : 10.1093/bioinformatics/btp352
URL : https://academic.oup.com/bioinformatics/article-pdf/25/16/2078/531810/btp352.pdf

W. Mclaren, B. Pritchard, D. Rios, Y. Chen, P. Flicek et al., Deriving the consequences of genomic variants with the Ensembl API and SNP Effect Predictor, Bioinformatics, vol.26, issue.16, pp.2069-70, 2010.
DOI : 10.1093/bioinformatics/btq330

J. Ye, G. Coulouris, I. Zaretskaya, I. Cutcutache, S. Rozen et al., Primer-BLAST: A tool to design target-specific primers for polymerase chain reaction, BMC Bioinformatics, vol.13, issue.1, p.134, 2012.
DOI : 10.1016/0022-2836(70)90057-4
URL : https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/1471-2105-13-134?site=bmcbioinformatics.biomedcentral.com

H. Fairfield, A. Srivastava, G. Ananda, R. Liu, M. Kircher et al., Exome sequencing reveals pathogenic mutations in 91 strains of mice with Mendelian disorders, Genome Research, vol.25, issue.7, pp.948-57, 2015.
DOI : 10.1101/gr.186882.114

Y. Shimomura, M. Wajid, L. Petukhova, M. Kurban, and A. Christiano, Autosomal-Dominant Woolly Hair Resulting from Disruption of Keratin 74 (KRT74), a Potential Determinant of Human Hair Texture, The American Journal of Human Genetics, vol.86, issue.4, pp.632-640, 2010.
DOI : 10.1016/j.ajhg.2010.02.025

M. Ansar, S. Raza, K. Lee, I. Shahi, S. Acharya et al., causes autosomal recessive woolly hair, Journal of Medical Genetics, vol.8, issue.(Suppl 1), pp.676-80, 2015.
DOI : 10.1371/journal.pgen.1002748

S. Tanaka, I. Miura, A. Yoshiki, Y. Kato, H. Yokoyama et al., Mutations in the helix termination motif of mouse type I IRS keratin genes impair the assembly of keratin intermediate filament, Genomics, vol.90, issue.6, pp.703-714, 2007.
DOI : 10.1016/j.ygeno.2007.07.013

E. Cadieu, M. Neff, P. Quignon, K. Walsh, K. Chase et al., Coat Variation in the Domestic Dog Is Governed by Variants in Three Genes, Science, vol.29, issue.9, pp.150-153, 2009.
DOI : 10.1016/j.tibs.2004.07.004
URL : https://hal.archives-ouvertes.fr/inserm-00412221

B. Gandolfi, C. Outerbridge, L. Beresford, J. Myers, M. Pimentel et al., The naked truth: Sphynx and Devon Rex cat breed mutations in KRT71, Mammalian Genome, vol.11, issue.11, pp.509-524, 2010.
DOI : 10.1128/MCB.8.2.722

B. Gandolfi, H. Alhaddad, S. Joslin, R. Khan, S. Filler et al., A splice variant in KRT71 is associated with curly coat phenotype of Selkirk Rex cats, Scientific Reports, vol.8, issue.1, 2000.
DOI : 10.1186/1471-2156-8-27

H. Daetwyler, A. Capitan, H. Pausch, P. Stothard, R. Van-binsbergen et al., Whole-genome sequencing of 234 bulls facilitates mapping of monogenic and complex traits in cattle, Nature Genetics, vol.132, issue.8, pp.858-65, 2014.
DOI : 10.3168/jds.2007-0980
URL : https://hal.archives-ouvertes.fr/hal-01193853

P. Kumar, S. Henikoff, and P. Ng, Predicting the effects of coding non-synonymous variants on protein function using the SIFT algorithm, Nature Protocols, vol.4, issue.8, pp.1073-81, 2009.
DOI : 10.1101/gr.772403

I. Adzhubei, S. Schmidt, L. Peshkin, V. Ramensky, A. Gerasimova et al., A method and server for predicting damaging missense mutations, Nature Methods, vol.7, issue.4, pp.248-257, 2010.
DOI : 10.1038/nmeth0410-248
URL : https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2855889/pdf